From 8f977c84779ae180e5b586b7ef50b70c3f588695 Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Thu, 21 Sep 2017 18:19:22 -0500
Subject: [PATCH 01/11] New files

---
 BackgroundPrediction_Kinematic_Split.c        | 356 ++-----
 BackgroundPrediction_Kinematic_Split_MMR.c    | 304 ++----
 ...ndPrediction_Kinematic_Split_MMR_blinded.c | 887 ++++++++++++++++
 ...groundPrediction_Kinematic_Split_blinded.c | 974 ++++++++++++++++++
 DisplayJetProperties.cc                       | 231 +++++
 DisplayKinFitReg.cc                           | 416 ++++++++
 Display_SignalFits.cc                         |   2 +-
 Display_SignalFits_LMR.cc                     |   4 +-
 Display_SignalFits_LMR_bias.cc                |  25 +-
 Display_SignalFits_bias.cc                    |  40 +-
 Display_SignalKinFitReg.cc                    | 142 +++
 DisplaymHmX.cc                                | 227 ++++
 DrawLimitPlot.cc                              |  71 +-
 DrawLimitPlot_All.cc                          | 626 +++++++++++
 DrawLimitPlot_Combined.cc                     | 547 ++++++++++
 InterpolateSignal.C                           | 282 +++--
 PDFSyst.py                                    |   6 +-
 PDFs/trig.log                                 |   3 +-
 .../CMS_HH4b_260_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_260_13TeV_asymptoticCLs.out      |  42 +
 .../datacard_260_gaus_exp_250_330.txt         |  27 +
 .../CMS_HH4b_265_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_265_13TeV_asymptoticCLs.out      |  40 +
 .../datacard_265_gaus_exp_250_330.txt         |  27 +
 .../.nfs000000300a163622000004a4              |   2 +
 .../CMS_HH4b_270_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_270_13TeV_asymptoticCLs.out      |  39 +
 .../datacard_270_gaus_exp_250_330.txt         |  27 +
 .../datacard_270_novo_285_625.txt             |  27 +
 .../CMS_HH4b_275_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_275_13TeV_asymptoticCLs.out      |  39 +
 .../datacard_275_gaus_exp_250_330.txt         |  27 +
 .../datacard_275_novo_285_625.txt             |  27 +
 .../CMS_HH4b_280_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_280_13TeV_asymptoticCLs.out      |  41 +
 .../datacard_280_gaus_exp_250_330.txt         |  27 +
 .../datacard_280_novo_285_625.txt             |  27 +
 .../CMS_HH4b_285_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_285_13TeV_asymptoticCLs.out      |  39 +
 .../datacard_285_gaus_exp_250_330.txt         |  27 +
 .../datacard_285_novo_285_625.txt             |  27 +
 .../CMS_HH4b_290_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_290_13TeV_asymptoticCLs.out      |  38 +
 .../datacard_290_gaus_exp_250_330.txt         |  27 +
 .../CMS_HH4b_290_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_290_13TeV_asymptoticCLs.out      |  39 +
 .../datacard_290_novo_285_625.txt             |  27 +
 .../CMS_HH4b_295_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_295_13TeV_asymptoticCLs.out      |  39 +
 .../datacard_295_gaus_exp_250_330.txt         |  27 +
 .../CMS_HH4b_295_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_295_13TeV_asymptoticCLs.out      |  40 +
 .../datacard_295_novo_285_625.txt             |  27 +
 .../CMS_HH4b_300_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_300_13TeV_asymptoticCLs.out      |  42 +
 .../datacard_300_gaus_exp_250_330.txt         |  27 +
 .../CMS_HH4b_300_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_300_13TeV_asymptoticCLs.out      |  41 +
 .../datacard_300_novo_285_625.txt             |  27 +
 .../CMS_HH4b_310_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_310_13TeV_asymptoticCLs.out      |  39 +
 .../datacard_310_gaus_exp_250_330.txt         |  27 +
 .../CMS_HH4b_310_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_310_13TeV_asymptoticCLs.out      |  40 +
 .../datacard_310_novo_285_625.txt             |  27 +
 .../CMS_HH4b_320_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_320_13TeV_asymptoticCLs.out      |  41 +
 .../datacard_320_gaus_exp_250_330.txt         |  27 +
 .../CMS_HH4b_320_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_320_13TeV_asymptoticCLs.out      |  41 +
 .../datacard_320_novo_285_625.txt             |  27 +
 .../CMS_HH4b_330_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_330_13TeV_asymptoticCLs.out      |  42 +
 .../datacard_330_novo_285_625.txt             |  27 +
 .../CMS_HH4b_340_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_340_13TeV_asymptoticCLs.out      |  42 +
 .../datacard_340_novo_285_625.txt             |  27 +
 .../datacard_350_gaus_exp_250_330.txt         |  27 +
 .../CMS_HH4b_350_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_350_13TeV_asymptoticCLs.out      |  41 +
 .../datacard_350_novo_285_625.txt             |  27 +
 .../CMS_HH4b_360_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_360_13TeV_asymptoticCLs.out      |  41 +
 .../datacard_360_novo_285_625.txt             |  27 +
 .../CMS_HH4b_370_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_370_13TeV_asymptoticCLs.out      |  40 +
 .../datacard_370_novo_285_625.txt             |  27 +
 .../CMS_HH4b_380_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_380_13TeV_asymptoticCLs.out      |  42 +
 .../datacard_380_novo_285_625.txt             |  27 +
 .../CMS_HH4b_390_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_390_13TeV_asymptoticCLs.out      |  42 +
 .../datacard_390_novo_285_625.txt             |  27 +
 .../CMS_HH4b_400_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_400_13TeV_asymptoticCLs.out      |  42 +
 .../datacard_400_novo_285_625.txt             |  27 +
 .../CMS_HH4b_410_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_410_13TeV_asymptoticCLs.out      |  42 +
 .../datacard_410_novo_285_625.txt             |  27 +
 .../CMS_HH4b_420_13TeV_MaxLikelihood.out      |  19 +
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 .../datacard_420_novo_285_625.txt             |  27 +
 .../CMS_HH4b_430_13TeV_MaxLikelihood.out      |  19 +
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 .../datacard_430_novo_285_625.txt             |  27 +
 .../CMS_HH4b_440_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_450_13TeV_MaxLikelihood.out      |  19 +
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 .../datacard_450_novo_285_625.txt             |  27 +
 .../CMS_HH4b_460_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_470_13TeV_MaxLikelihood.out      |  19 +
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 .../datacard_470_novo_285_625.txt             |  27 +
 .../CMS_HH4b_480_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_490_13TeV_MaxLikelihood.out      |  19 +
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 .../datacard_490_novo_285_625.txt             |  27 +
 .../CMS_HH4b_500_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_500_13TeV_asymptoticCLs.out      |  42 +
 .../datacard_500_novo_285_625.txt             |  27 +
 .../CMS_HH4b_510_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_520_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_530_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_540_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_550_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_560_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_570_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_580_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_590_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_600_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_610_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_620_13TeV_MaxLikelihood.out      |  19 +
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 .../CMS_HH4b_1000_13TeV_MaxLikelihood.out     |  19 +
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 .../CMS_HH4b_1050_13TeV_MaxLikelihood.out     |  19 +
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 .../datacard_960_novo_550_1200.txt            |  27 +
 .../CMS_HH4b_980_13TeV_MaxLikelihood.out      |  19 +
 .../CMS_HH4b_980_13TeV_asymptoticCLs.out      |  37 +
 .../datacard_980_novo_550_1200.txt            |  27 +
 changename.sh                                 |  70 ++
 doBuildInputsLMR_bias.sh                      |   2 +-
 doBuildInputs_bias.sh                         |   2 +-
 doDatacards.sh                                |   2 +-
 doDatacardsLMR.sh                             |   3 +-
 doDatacardsLMR_bias.sh                        |  12 +-
 doDatacards_bias.sh                           |  12 +-
 doLimits.sh                                   |   4 +-
 doLimits_bias.sh                              |   4 +-
 drawLimits_All.c                              |   7 +
 drawLimits_Combined.c                         |   9 +
 drawLimits_LMR.c                              |   2 -
 drawLimits_LMR_interpolated.c                 |   6 +-
 drawLimits_MMR.c                              |   1 -
 drawLimits_MMR_interpolated.c                 |   3 +-
 launchBias.sh                                 |  13 +-
 launchBias_LMR.sh                             |  12 +-
 launchBias_MMR.sh                             |  10 +-
 launchDatacard.sh                             |   8 +-
 launchDatacard_bias.sh                        |   1 +
 launchInterpolation.sh                        |  28 +-
 launchInterpolation_bias.sh                   |  66 ++
 launchLimits.sh                               |  16 +-
 launchLimits_bias.sh                          |   5 +-
 launchSyst.sh                                 |  48 +-
 runLimits_Interpolation.sh                    |  16 +-
 runLimits_Interpolation_bias.sh               |  77 ++
 484 files changed, 17357 insertions(+), 829 deletions(-)
 create mode 100644 BackgroundPrediction_Kinematic_Split_MMR_blinded.c
 create mode 100644 BackgroundPrediction_Kinematic_Split_blinded.c
 create mode 100644 DisplayJetProperties.cc
 create mode 100644 DisplayKinFitReg.cc
 create mode 100644 Display_SignalKinFitReg.cc
 create mode 100644 DisplaymHmX.cc
 create mode 100644 DrawLimitPlot_All.cc
 create mode 100644 DrawLimitPlot_Combined.cc
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/.nfs000000300a163622000004a4
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/datacard_290_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/datacard_290_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/datacard_295_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/datacard_295_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/datacard_300_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/datacard_310_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/datacard_310_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/datacard_320_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/datacard_320_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/datacard_330_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/datacard_340_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt
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 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt
 create mode 100755 changename.sh
 create mode 100644 drawLimits_All.c
 create mode 100644 drawLimits_Combined.c
 create mode 100755 launchInterpolation_bias.sh
 create mode 100755 runLimits_Interpolation_bias.sh

diff --git a/BackgroundPrediction_Kinematic_Split.c b/BackgroundPrediction_Kinematic_Split.c
index 4c7ace0..010b6a7 100644
--- a/BackgroundPrediction_Kinematic_Split.c
+++ b/BackgroundPrediction_Kinematic_Split.c
@@ -232,11 +232,11 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     TFile *f_data=new TFile((dest_dir+"/"+filename).c_str());
     TH1F *h_mX_SR;
     if (hist.substr(0,7)=="h_mX_SB") {
-	h_mX_SR=(TH1F*)h_SR_AntiTag->Clone("h_mX_SR_kinFit");
+	h_mX_SR=(TH1F*)h_SR_AntiTag->Clone("h_mX_SR_kinFit");  
     }
     else{
 	h_mX_SR=(TH1F*)f_data->Get(hist.c_str());
-	h_mX_SR->Rebin(rebin);
+	h_mX_SR->Rebin(rebin);   
     }
     new TCanvas; h_mX_SR->Draw();
 
@@ -250,10 +250,10 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     
     string type;
 
-    RooRealVar par_crystal_0("par_crystal_0", "par_crystal_0", 0.01, 5.1);
-    RooRealVar par_crystal_1("par_crystal_1", "par_crystal_1", 0.01, 5.1);
+    RooRealVar par_crystal_0("par_crystal_0", "par_crystal_0", 0.01, 9.1);
+    RooRealVar par_crystal_1("par_crystal_1", "par_crystal_1", 0.01, 9.1);
     RooRealVar par_crystal_2("par_crystal_2", "par_crystal_2", 240, 280);
-    RooRealVar par_crystal_3("par_crystal_3", "par_crystal_3", 3, 30);
+    RooRealVar par_crystal_3("par_crystal_3", "par_crystal_3", 3, 40);
     RevCrystalBall f_crystal("f_crystal","f_crystal", *x_1, par_crystal_0, par_crystal_1, par_crystal_2, par_crystal_3);
     RooFitResult *r_crystal=f_crystal.fitTo(pred_1, RooFit::Range(range_lo_1, range_hi_1), RooFit::Save());
     
@@ -293,9 +293,9 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     type= "SB_crystal_"+to_string(range_lo_1)+"_"+to_string(range_hi_1);
     c_crystal->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
     
-    RooRealVar par_gaus_exp_0("par_gaus_exp_0", "par_gaus_exp_0", 260, 300);
-    RooRealVar par_gaus_exp_1("par_gaus_exp_1", "par_gaus_exp_1", 9, 40);
-    RooRealVar par_gaus_exp_2("par_gaus_exp_2", "par_gaus_exp_2", 0.05, 3.1);
+    RooRealVar par_gaus_exp_0("par_gaus_exp_0", "par_gaus_exp_0", 250, 330);
+    RooRealVar par_gaus_exp_1("par_gaus_exp_1", "par_gaus_exp_1", 0.1, 15.7);
+    RooRealVar par_gaus_exp_2("par_gaus_exp_2", "par_gaus_exp_2", 0.01, 7.5);
     GaussExp f_gaus_exp("f_gaus_exp", "Background Prediction PDF", *x_1, par_gaus_exp_0, par_gaus_exp_1, par_gaus_exp_2);
     RooFitResult *r_gaus_exp=f_gaus_exp.fitTo(pred_1, RooFit::Range(range_lo_1, range_hi_1), RooFit::Save());
     
@@ -331,10 +331,9 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     c_gaus_exp->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
     
     
-    
-    RooRealVar par_novo_0("par_novo_0", "par_novo_0", 250, 301);
-    RooRealVar par_novo_1("par_novo_1", "par_novo_1", 0, 54);
-    RooRealVar par_novo_2("par_novo_2", "par_novo_2", -100, 100);
+    RooRealVar par_novo_0("par_novo_0", "par_novo_0", 150, 160);
+    RooRealVar par_novo_1("par_novo_1", "par_novo_1", 0.01, 150);
+    RooRealVar par_novo_2("par_novo_2", "par_novo_2", -10, 1);
     RooNovosibirsk f_novo("f_novo", "Background Prediction PDF", *x_2, par_novo_0, par_novo_1, par_novo_2);
     RooFitResult *r_novo=f_novo.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
     
@@ -415,207 +414,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     pave_crystal_1->Draw();
     type= "SB_crystal_1_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
     c_crystal_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
-    
-
-/*
-    RooRealVar par_gaus_bern_0("par_gaus_bern_0", "par_gaus_bern_0", 0.);
-    par_gaus_bern_0.setConstant(1);
-    RooRealVar par_gaus_bern_1("par_gaus_bern_1", "par_gaus_bern_1", 10, 1. , 100.);
-    RooRealVar par_gaus_bern_2("par_gaus_bern_2", "par_gaus_bern_2", 260, 160., 600. );
-    RooRealVar *par_gaus_bern_3, *par_gaus_bern_4, *par_gaus_bern_5, *par_gaus_bern_6, *par_gaus_bern_7, *bpar_gaus_bern_8;
-    par_gaus_bern_3=new RooRealVar("par_gaus_bern_3", "par_gaus_bern_3", 5.);
-    par_gaus_bern_3->setConstant(1);
-    par_gaus_bern_4=new RooRealVar("par_gaus_bern_4", "par_gaus_bern_4", 3, -10., 10.);
-    par_gaus_bern_5=new RooRealVar("par_gaus_bern_5", "par_gaus_bern_5", 1, -10., 10.);
-    par_gaus_bern_6=new RooRealVar("par_gaus_bern_6", "par_gaus_bern_6", -10., 10.);
-    par_gaus_bern_7=new RooRealVar("par_gaus_bern_7", "par_gaus_bern_7", -10., 10.);
-    par_gaus_bern_8=new RooRealVar("par_gaus_bern_8", "par_gaus_bern_8", -10., 5.);
-
-
-    RooGaussStepBernstein f_gaus_bern("f_gaus_bern","f_gaus_bern",*x_2, par_gaus_bern_0, par_gaus_bern_1, par_gaus_bern_2, RooArgList(*par_gaus_bern_3, *par_gaus_bern_4, *par_gaus_bern_5)); //, *par_gaus_bern_6));
-    RooFitResult *r_gaus_bern=f_gaus_bern.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
-
-    RooPlot *frame_gaus_bern=x_2->frame();
-    pred_2.plotOn(frame_gaus_bern, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_gaus_bern.plotOn(frame_gaus_bern, RooFit::VisualizeError(*r_gaus_bern, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
-    f_gaus_bern.plotOn(frame_gaus_bern, RooFit::LineColor(kBlue+1));
-    double fitChi2_gaus_bern=frame_gaus_bern->chiSquare();
-    RooAbsReal* chi2_gaus_bern = f_gaus_bern.createChi2(pred_2);
-    double pvalue_gaus_bern=TMath::Prob(chi2_gaus_bern->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
-
-    TCanvas *c_gaus_bern=new TCanvas("c_gaus_bern", "c_gaus_bern", 700, 700);
-    frame_gaus_bern->Draw();
-
-    TPaveText *pave_gaus_bern = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
-    pave_gaus_bern->SetBorderSize(0);
-    pave_gaus_bern->SetTextSize(0.03);
-    pave_gaus_bern->SetLineColor(1);
-    pave_gaus_bern->SetLineStyle(1);
-    pave_gaus_bern->SetLineWidth(2);
-    pave_gaus_bern->SetFillColor(0);
-    pave_gaus_bern->SetFillStyle(0);
-    pave_gaus_bern->AddText("Gaus_bern");
-    sprintf(value,"par_gaus_bern_0= %2.3f +- %2.3f",par_gaus_bern_0.getVal(),par_gaus_bern_0.getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_1= %2.3f +- %2.3f",par_gaus_bern_1.getVal(),par_gaus_bern_1.getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_2= %2.3f +- %2.3f",par_gaus_bern_2.getVal(),par_gaus_bern_2.getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_3= %2.3f +- %2.3f",par_gaus_bern_3->getVal(),par_gaus_bern_3->getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_4= %2.3f +- %2.3f",par_gaus_bern_4->getVal(),par_gaus_bern_4->getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_5= %2.3f +- %2.3f",par_gaus_bern_5->getVal(),par_gaus_bern_5->getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_6= %2.3f +- %2.3f",par_gaus_bern_6->getVal(),par_gaus_bern_6->getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"chi^2 %2.1f",fitChi2_gaus_bern);
-    pave_gaus_bern->AddText(value);
-    pave_gaus_bern->Draw();
-    type= "SB_gaus_bern_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
-    c_gaus_bern->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
- 
-    
-
-
-    RooRealVar par_landau_0("par_landau_0","par_landau_0",2.54e+02,2.5e+02,2.8e+02) ;
-    RooRealVar par_landau_1("par_landau_1","par_landau_1",2.5e+01,18,30) ;
-    RooLandau f_landau("f_landau","f_landau",*x_2, par_landau_0, par_landau_1);
-    RooFitResult *r_landau=f_landau.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
-
-    RooPlot *frame_landau=x_2->frame();
-    pred_2.plotOn(frame_landau, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_landau.plotOn(frame_landau, RooFit::VisualizeError(*r_landau, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
-    f_landau.plotOn(frame_landau, RooFit::LineColor(kBlue+1));
-    double fitChi2_landau=frame_landau->chiSquare();
-    RooAbsReal* chi2_landau = f_landau.createChi2(pred_2);
-    double pvalue_landau=TMath::Prob(chi2_landau->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
-
-    TCanvas *c_landau=new TCanvas("c_landau", "c_landau", 700, 700);
-    frame_landau->Draw();
-
-    TPaveText *pave_landau = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
-    pave_landau->SetBorderSize(0);
-    pave_landau->SetTextSize(0.03);
-    pave_landau->SetLineColor(1);
-    pave_landau->SetLineStyle(1);
-    pave_landau->SetLineWidth(2);
-    pave_landau->SetFillColor(0);
-    pave_landau->SetFillStyle(0);
-    pave_landau->AddText("Landau");
-    sprintf(value,"par_landau_0= %2.3f +- %2.3f",par_landau_0.getVal(),par_landau_0.getError());
-    pave_landau->AddText(value);
-    sprintf(value,"par_landau_1= %2.3f +- %2.3f",par_landau_1.getVal(),par_landau_1.getError());
-    pave_landau->AddText(value);
-    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
-    pave_landau->AddText(value);
-    sprintf(value,"chi^2 %2.1f",fitChi2_landau);
-    pave_landau->AddText(value);
-    pave_landau->Draw();
-    type= "SB_landau_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
-    c_landau->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
-
-
-    RooRealVar par_logistic_0("par_logistic_0","par_logistic_0", 251);
-    RooRealVar par_logistic_1("par_logistic_1","par_logistic_1", 502);
-    RooRealVar par_logistic_2("par_logistic_2","par_logistic_2", 241., 281.);
-    RooRealVar par_logistic_3("par_logistic_3","par_logistic_3", 0.01, 1.);
-    RooRealVar par_logistic_4("par_logistic_4","par_logistic_4", -.1, 0.9);
-    par_logistic_4.setConstant(1);
-    RooRealVar par_logistic_5("par_logistic_5","par_logistic_5", -.1, 0.9);
-    RooRealVar par_logistic_6("par_logistic_6","par_logistic_6", -.1, 0.9);
-    RooRealVar par_logistic_7("par_logistic_7","par_logistic_7", -.1, 0.9);
-    LogisticXChebychev3 f_logistic("f_logistic","f_logistic",*x_2, par_logistic_0, par_logistic_1, par_logistic_2, par_logistic_3, par_logistic_4, par_logistic_5, par_logistic_6, par_logistic_7);
-    RooFitResult *r_logistic=f_logistic.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
-
-    RooPlot *frame_logistic=x_2->frame();
-    pred_2.plotOn(frame_logistic, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_logistic.plotOn(frame_logistic, RooFit::VisualizeError(*r_logistic, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
-    f_logistic.plotOn(frame_logistic, RooFit::LineColor(kBlue+1));
-    double fitChi2_logistic=frame_logistic->chiSquare();
-    RooAbsReal* chi2_logistic = f_logistic.createChi2(pred_2);
-    double pvalue_logistic=TMath::Prob(chi2_logistic->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
-
-    TCanvas *c_logistic=new TCanvas("c_logistic", "c_logistic", 700, 700);
-    frame_logistic->Draw();
-
-    TPaveText *pave_logistic = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
-    pave_logistic->SetBorderSize(0);
-    pave_logistic->SetTextSize(0.03);
-    pave_logistic->SetLineColor(1);
-    pave_logistic->SetLineStyle(1);
-    pave_logistic->SetLineWidth(2);
-    pave_logistic->SetFillColor(0);
-    pave_logistic->SetFillStyle(0);
-    pave_logistic->AddText("LogisticXChebychev3");
-    sprintf(value,"par_logistic_0= %2.3f +- %2.3f",par_logistic_0.getVal(),par_logistic_0.getError());
-    pave_logistic->AddText(value);
-    sprintf(value,"par_logistic_1= %2.3f +- %2.3f",par_logistic_1.getVal(),par_logistic_1.getError());
-    pave_logistic->AddText(value);
-    sprintf(value,"par_logistic_2= %2.3f +- %2.3f",par_logistic_2.getVal(),par_logistic_2.getError());
-    pave_logistic->AddText(value);
-    sprintf(value,"par_logistic_3= %2.3f +- %2.3f",par_logistic_3.getVal(),par_logistic_3.getError());
-    pave_logistic->AddText(value);
-    sprintf(value,"par_logistic_4= %2.3f +- %2.3f",par_logistic_4.getVal(),par_logistic_4.getError());
-    pave_logistic->AddText(value);
-    sprintf(value,"par_logistic_5= %2.3f +- %2.3f",par_logistic_5.getVal(),par_logistic_5.getError());
-    pave_logistic->AddText(value);
-    sprintf(value,"par_logistic_6= %2.3f +- %2.3f",par_logistic_6.getVal(),par_logistic_6.getError());
-    pave_logistic->AddText(value);
-    sprintf(value,"par_logistic_7= %2.3f +- %2.3f",par_logistic_7.getVal(),par_logistic_7.getError());
-    pave_logistic->AddText(value);
-    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
-    pave_logistic->AddText(value);
-    sprintf(value,"chi^2 %2.1f",fitChi2_logistic);
-    pave_logistic->AddText(value);
-    pave_logistic->Draw();
-    type= "SB_logistic_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
-    c_logistic->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
-*/
-
-    
-    TH1* hh_pdf = f_gaus_exp.createHistogram("hh", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    TH1* hh_pdf_11 = f_crystal.createHistogram("hh1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    //TH1* hh_pdf_11 = f_novo.createHistogram("hh1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    TH1* hh_pdf_2 = f_gaus_exp.createHistogram("difference_1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    TH1* hh_pdf_4 = f_gaus_exp.createHistogram("sum", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    TH1* hh_pdf_5 = f_gaus_exp.createHistogram("ratio", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    hh_pdf_5->SetLineColor(kRed);
-    hh_pdf_2->Add(hh_pdf_11,-1);
-    hh_pdf_4->Add(hh_pdf_11,1);
-    hh_pdf_4->Scale(0.5);
-    hh_pdf_5->Add(hh_pdf,-1);
-    hh_pdf_5->Add(hh_pdf_2,1);
-    hh_pdf_5->Divide(hh_pdf_4);
-    hh_pdf_5->GetYaxis()->SetRangeUser(-1,1);
-    new TCanvas; hh_pdf_5->Draw();
- 
-    
-    
-    TH1* hh_pdf_1 = f_novo.createHistogram("hh_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    TH1* hh_pdf_1_1 = f_crystal_1.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    //TH1* hh_pdf_1_1 = f_gaus_bern.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    //TH1* hh_pdf_1_1 = f_gaus_exp.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    //TH1* hh_pdf_1_1 = f_landau.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    TH1* hh_pdf_2_1 = f_novo.createHistogram("difference_1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    TH1* hh_pdf_4_1 = f_novo.createHistogram("sum_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    TH1* hh_pdf_5_1 = f_novo.createHistogram("ratio_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    hh_pdf_5_1->SetLineColor(kRed);
-    hh_pdf_2_1->Add(hh_pdf_1_1,-1);
-    hh_pdf_4_1->Add(hh_pdf_1_1,1);
-    hh_pdf_4_1->Scale(0.5);
-    hh_pdf_5_1->Add(hh_pdf_1,-1);
-    hh_pdf_5_1->Add(hh_pdf_2_1,1);
-    hh_pdf_5_1->Divide(hh_pdf_4_1);
-    hh_pdf_5_1->GetYaxis()->SetRangeUser(-1,1);
-    new TCanvas; hh_pdf_5_1->Draw();
-    
-    
-    
-    
-    
+            
     
     double xPad = 0.3;
     TCanvas *c_gaus_exp_1=new TCanvas("c_gaus_exp_1", "c_gaus_exp_1", 700*(1.-xPad), 700);
@@ -643,12 +442,10 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     
     RooPlot *frame_gaus_exp_1=x_1->frame();
     pred_1.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3004));
-    //f_logistic.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_logistic, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
-    f_crystal.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_crystal, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
-    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
-    f_crystal.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
-    //f_logistic.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(4), RooFit::LineStyle(kDashed) );
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));
+    //f_crystal.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_crystal, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlue), RooFit::LineWidth(3));
+    //f_crystal.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
     
     
     if (log=="log") frame_gaus_exp_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5.);
@@ -672,19 +469,19 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     char name[1000];
     char name1[1000];
     if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name,"SB_gaus_exp #chi^{2}/n = %.2f",fitChi2_gaus_exp);
-        sprintf(name1,"p-value_gaus_exp = %.2f",pvalue_gaus_exp);
+        sprintf(name,"#chi^{2}/n = %.2f",fitChi2_gaus_exp);
+    //    sprintf(name1,"p-value_gaus_exp = %.2f",pvalue_gaus_exp);
     }
-    else sprintf(name,"SR_gaus_exp #chi^{2}/n = %.2f",fitChi2_gaus_exp);
+    else sprintf(name,"#chi^{2}/n = %.2f",fitChi2_gaus_exp);
     pave->AddText(name);
-    pave->AddText(name1);
-    if (hist.substr(0,7)=="h_mX_SB") {
+    //pave->AddText(name1);
+    /*if (hist.substr(0,7)=="h_mX_SB") {
         sprintf(name,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
         sprintf(name1,"p-value_crystal = %.2f",pvalue_crystal);
     }
-    else sprintf(name,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
-    pave->AddText(name);
-    pave->AddText(name1);
+    else sprintf(name,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal);*/
+    //pave->AddText(name);
+    //pave->AddText(name1);
     pave->Draw();
     
     TLatex * tPrel = new TLatex();
@@ -708,11 +505,11 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
         
     }
     else leg->AddEntry(h_mX_SR, "Data in SR", "ep");
-    TH1F * temp = new TH1F("temp", "temp", 100, 0,1); temp->SetLineWidth(2);  temp->SetLineColor(kBlack);
+    TH1F * temp = new TH1F("temp", "temp", 100, 0,1); temp->SetLineWidth(2);  temp->SetLineColor(kBlue);
     leg->AddEntry(temp, "GaussExp fit", "l");
-    TH1F * temp1 = new TH1F("temp1", "temp1", 100, 0,1); temp1->SetLineWidth(2);
-    temp1->SetLineColor(kRed);
-    leg->AddEntry(temp1, "CrystalBall fit", "l");
+    //TH1F * temp1 = new TH1F("temp1", "temp1", 100, 0,1); temp1->SetLineWidth(2);
+    //temp1->SetLineColor(kRed);
+    //leg->AddEntry(temp1, "CrystalBall fit", "l");
     leg->Draw();
     
     CMS_lumi( p_1, iPeriod, iPos );
@@ -721,17 +518,17 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     RooHist *hpull, *hpull1;
     hpull = frame_gaus_exp->pullHist();
     hpull->SetLineWidth(2);
-    hpull1 = frame_crystal->pullHist();
+    //hpull1 = frame_crystal->pullHist();
     //hpull1 = frame_logistic->pullHist();
-    hpull1->SetMarkerColor(kRed);
-    hpull1->SetLineStyle(kDashed);
-    hpull1->SetMarkerSize(0.6);
-    hpull1->SetLineColor(kRed);
+    //hpull1->SetMarkerColor(kRed);
+    //hpull1->SetLineStyle(kDashed);
+    //hpull1->SetMarkerSize(0.6);
+    //hpull1->SetLineColor(kRed);
     RooPlot* frameP = x_1->frame() ;
     
     frameP->SetTitle("; m_{X} (GeV); Pull");
     frameP->addPlotable(hpull,"P");
-    frameP->addPlotable(hpull1,"P same");
+    //frameP->addPlotable(hpull1,"P same");
     frameP->GetYaxis()->SetTitleSize(0.07);
     frameP->GetYaxis()->SetTitleOffset(0.5);
     frameP->GetXaxis()->SetTitleSize(0.09);
@@ -777,10 +574,10 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     
     RooPlot *frame_novo_1=x_2->frame();
     pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_crystal_1.plotOn(frame_novo_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3001));
-    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3004));
-    f_crystal_1.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
-    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
+    //f_crystal_1.plotOn(frame_novo_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3001));
+    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));
+    //f_crystal_1.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
+    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
     
     
     if (log=="log") frame_novo_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5);
@@ -803,20 +600,20 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     pave_1->SetFillStyle(0);
     char name_1[1000];
     char name_11[1000];
-    if (hist.substr(0,7)=="h_mX_SB") {
+    /*if (hist.substr(0,7)=="h_mX_SB") {
         sprintf(name_1,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
         sprintf(name_11,"p-value_crystal = %.2f",pvalue_crystal_1);
     }
     else sprintf(name_1,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
     pave_1->AddText(name_1);
-    pave_1->AddText(name_11);
+    pave_1->AddText(name_11);*/
     if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name_1,"SB_novo #chi^{2}/n = %.2f",fitChi2_Novo);
-        sprintf(name_11,"p-value_novo = %.2f",pvalue_novo);
+        sprintf(name_1,"#chi^{2}/n = %.2f",fitChi2_Novo);
+        //sprintf(name_11,"p-value_novo = %.2f",pvalue_novo);
     }
-    else sprintf(name_1,"SR_novo #chi^{2}/n = %.2f",fitChi2_Novo);
+    else sprintf(name_1,"#chi^{2}/n = %.2f",fitChi2_Novo);
     pave_1->AddText(name_1);
-    pave_1->AddText(name_11);
+    //pave_1->AddText(name_11);
     pave_1->Draw();
     
     TLatex * tPrel_1 = new TLatex();
@@ -840,10 +637,10 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
         
     }
     else leg_1->AddEntry(h_mX_SR, "Data in SR", "ep");
-    TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kRed);
-    TH1F* temp_11 = new TH1F("temp_11", "temp_11", 100, 0,1); temp_11->SetLineWidth(2);
-    temp_11->SetLineColor(kBlack);
-    leg_1->AddEntry(temp_11, "CrystalBall fit", "l");
+    TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kBlue);
+    //TH1F* temp_11 = new TH1F("temp_11", "temp_11", 100, 0,1); temp_11->SetLineWidth(2);
+    //temp_11->SetLineColor(kBlack);
+    //leg_1->AddEntry(temp_11, "CrystalBall fit", "l");
     leg_1->AddEntry(temp_1, "Novorsibisk fit", "l");
     leg_1->Draw();
     
@@ -853,16 +650,16 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     RooHist *hpull_1, *hpull_11;
     hpull_1 = frame_novo->pullHist();
     hpull_1->SetLineWidth(2);
-    hpull_11 = frame_crystal_1->pullHist();
-    hpull_11->SetLineStyle(kDashed);
-    hpull_11->SetLineColor(kRed);
-    hpull_11->SetMarkerSize(0.6);
-    hpull_11->SetMarkerColor(kRed);
+    //hpull_11 = frame_crystal_1->pullHist();
+    //hpull_11->SetLineStyle(kDashed);
+    //hpull_11->SetLineColor(kRed);
+    //hpull_11->SetMarkerSize(0.6);
+    //hpull_11->SetMarkerColor(kRed);
     RooPlot* frameP_1 = x_2->frame() ;
     
     frameP_1->SetTitle("; m_{X} (GeV); Pull");
     frameP_1->addPlotable(hpull_1,"P");
-    frameP_1->addPlotable(hpull_11,"P same");
+    //frameP_1->addPlotable(hpull_11,"P same");
     frameP_1->GetYaxis()->SetTitleSize(0.07);
     frameP_1->GetYaxis()->SetTitleOffset(0.5);
     frameP_1->GetXaxis()->SetTitleSize(0.09);
@@ -878,14 +675,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     
     c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.png").c_str());
     c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.pdf").c_str());
-    
-    
-    
-    
-    
-    
-    
-    
+        
     
     TH1F *h_mX_SR_fakeData=(TH1F*)h_mX_SR->Clone("h_mX_SR_fakeData");
     h_mX_SR_fakeData->Scale(nEventsSR/h_mX_SR_fakeData->GetSumOfWeights());
@@ -894,60 +684,40 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     RooDataHist data_obs_gaus_exp(Form("data_obs_gaus_exp_%d_%d",range_lo_1, range_hi_1), "Data", RooArgList(*x_1), h_mX_SR_fakeData);
     RooDataHist data_obs_novo(Form("data_obs_novo_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
     RooDataHist data_obs_crystal_1(Form("data_obs_crystal_1_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
-    //RooDataHist data_obs_gaus_bern(Form("data_obs_gaus_bern_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
-    //RooDataHist data_obs_landau(Form("data_obs_landau_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
     
-    RooRealVar f_crystal_norm("f_crystal_norm","f_crystal_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))); 
     RooWorkspace *w_background_crystal=new RooWorkspace("HbbHbb");
     w_background_crystal->import(data_obs_crystal);
     w_background_crystal->import(f_crystal);
-    //w_background_crystal->import(f_crystal_norm);
     w_background_crystal->SaveAs((dest_dir+"/"+Form("w_background_crystal_%d_%d.root",range_lo_1,range_hi_1)).c_str());
     
-    RooRealVar f_gaus_exp_norm("f_gaus_exp_norm","f_gaus_exp_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))); 
     RooWorkspace *w_background_gaus_exp=new RooWorkspace("HbbHbb");
     w_background_gaus_exp->import(data_obs_gaus_exp);
     w_background_gaus_exp->import(f_gaus_exp);
-    //w_background_gaus_exp->import(f_gaus_exp_norm);
     w_background_gaus_exp->SaveAs((dest_dir+"/"+Form("w_background_gaus_exp_%d_%d.root",range_lo_1,range_hi_1)).c_str());
     
-    
-    RooRealVar f_novo_norm("f_novo_norm","f_novo_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))); 
     RooWorkspace *w_background_novo=new RooWorkspace("HbbHbb");
     w_background_novo->import(data_obs_novo);
     w_background_novo->import(f_novo);
-    //w_background_novo->import(f_novo_norm);
     w_background_novo->SaveAs((dest_dir+"/"+Form("w_background_novo_%d_%d.root",range_lo_2,range_hi_2)).c_str());
 
-    RooRealVar f_crystal_1_norm("f_crystal_1_norm","f_crystal_1_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))); 
     RooWorkspace *w_background_crystal_1=new RooWorkspace("HbbHbb");
     w_background_crystal_1->import(data_obs_crystal_1);
     w_background_crystal_1->import(f_crystal_1);
-    //w_background_crystal_1->import(f_crystal_1_norm);
     w_background_crystal_1->SaveAs((dest_dir+"/"+Form("w_background_crystal_1_%d_%d.root",range_lo_2,range_hi_2)).c_str());
-
-/*
-    RooWorkspace *w_background_gaus_bern=new RooWorkspace("HbbHbb");
-    w_background_gaus_bern->import(data_obs_gaus_bern);
-    w_background_gaus_bern->import(f_gaus_bern);
-    w_background_gaus_bern->SaveAs((dest_dir+"/"+Form("w_background_gaus_bern_%d_%d.root",range_lo_2,range_hi_2)).c_str());
-
-
-    RooWorkspace *w_background_landau=new RooWorkspace("HbbHbb");
-    w_background_landau->import(data_obs_landau);
-    w_background_landau->import(f_landau);
-    w_background_landau->SaveAs((dest_dir+"/"+Form("w_background_landau_%d_%d.root",range_lo_2,range_hi_2)).c_str());
-*/
-    
-    
     
     std::cout<<" === RooFit data fit result to be entered in datacard === "<<std::endl;
-    
+    if (hist.substr(0,7)=="h_mX_SB"){    
     std::cout<<Form(" Background number of crystal_%d_%d = ", range_lo_1, range_hi_1)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))<<std::endl;
     std::cout<<Form(" Background number of gaus_exp_%d_%d = ", range_lo_1, range_hi_1)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))<<std::endl;
     std::cout<<Form(" Background number of novo_%d_%d = ", range_lo_2, range_hi_2)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))<<std::endl;
     std::cout<<Form(" Background number of crystal_1_%d_%d = ", range_lo_2, range_hi_2)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))<<std::endl;
-    
+    }
+    else{
+    std::cout<<Form(" Background number of crystal_%d_%d = ", range_lo_1, range_hi_1)<<h_SR->Integral(range_lo_1,range_hi_1)<<std::endl;
+    std::cout<<Form(" Background number of gaus_exp_%d_%d = ", range_lo_1, range_hi_1)<<h_SR->Integral(range_lo_1,range_hi_1)<<std::endl;
+    std::cout<<Form(" Background number of novo_%d_%d = ", range_lo_2, range_hi_2)<<h_SR->Integral(range_lo_2,range_hi_2)<<std::endl;
+    std::cout<<Form(" Background number of crystal_1_%d_%d = ", range_lo_2, range_hi_2)<<h_SR->Integral(range_lo_2,range_hi_2)<<std::endl;        
+    }
     
     std::cout<<"par_crystal_0   param   "<<par_crystal_0.getVal()<<" "<<par_crystal_0.getError()<<std::endl;
     std::cout<<"par_crystal_1   param   "<<par_crystal_1.getVal()<<" "<<par_crystal_1.getError()<<std::endl;
diff --git a/BackgroundPrediction_Kinematic_Split_MMR.c b/BackgroundPrediction_Kinematic_Split_MMR.c
index b3744d8..3aaa1cc 100644
--- a/BackgroundPrediction_Kinematic_Split_MMR.c
+++ b/BackgroundPrediction_Kinematic_Split_MMR.c
@@ -207,11 +207,12 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
 
 
     TFile *f_data=new TFile((dest_dir+"/"+filename).c_str());
-    TH1F *h_mX_SR=(TH1F*)f_data->Get(hist.c_str());
+    TH1F *h_mX_SR=(TH1F*)f_data->Get(hist.c_str()); 
     h_mX_SR->Rebin(rebin);
-    TH1F *h_SR=(TH1F*)f_data->Get("h_mX_SR_kinFit");
-    double nEventsSR= h_SR->Integral();
 
+    TFile *f_norm=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BTagTotal.root");    
+    TH1F *h_SR=(TH1F*)f_norm->Get("h_mX_SR_kinFit");
+    double nEventsSR= h_SR->Integral();     
 
     char value[1000];
     
@@ -222,6 +223,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     
     string type;
 
+    //Crystal ball fit
     RooRealVar par_crystal_0("par_crystal_0", "par_crystal_0", 0.01, 5.1);
     RooRealVar par_crystal_1("par_crystal_1", "par_crystal_1", 0.01, 5.1);
     RooRealVar par_crystal_2("par_crystal_2", "par_crystal_2", 400, 600);
@@ -265,6 +267,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     type= "SB_crystal_"+to_string(range_lo_1)+"_"+to_string(range_hi_1);
     c_crystal->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
     
+    //Gausexp fit
     RooRealVar par_gaus_exp_0("par_gaus_exp_0", "par_gaus_exp_0", 400, 700);
     RooRealVar par_gaus_exp_1("par_gaus_exp_1", "par_gaus_exp_1", 9, 100);
     RooRealVar par_gaus_exp_2("par_gaus_exp_2", "par_gaus_exp_2", 0.05, 3.1);
@@ -303,10 +306,10 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     c_gaus_exp->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
     
     
-    
-    RooRealVar par_novo_0("par_novo_0", "par_novo_0", 500, 650);
-    RooRealVar par_novo_1("par_novo_1", "par_novo_1", 0, 200);
-    RooRealVar par_novo_2("par_novo_2", "par_novo_2", -100, 100);
+    //Novosibirsk fit
+    RooRealVar par_novo_0("par_novo_0", "par_novo_0", 300, 445);
+    RooRealVar par_novo_1("par_novo_1", "par_novo_1", 0.01, 300);
+    RooRealVar par_novo_2("par_novo_2", "par_novo_2", -10, 1);
     RooNovosibirsk f_novo("f_novo", "Background Prediction PDF", *x_2, par_novo_0, par_novo_1, par_novo_2);
     RooFitResult *r_novo=f_novo.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
     
@@ -344,11 +347,12 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     type= "SB_novo_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
     c_novo->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
     
-    
-    RooRealVar par_crystal_1_0("par_crystal_1_0", "par_crystal_1_0", 0.01, 5.1);
-    RooRealVar par_crystal_1_1("par_crystal_1_1", "par_crystal_1_1", 0.01, 5.1);
-    RooRealVar par_crystal_1_2("par_crystal_1_2", "par_crystal_1_2", 400, 700);
-    RooRealVar par_crystal_1_3("par_crystal_1_3", "par_crystal_1_3", 9, 200);
+
+    //Crystalball fit
+    RooRealVar par_crystal_1_0("par_crystal_1_0", "par_crystal_1_0", 0.01, 9.1);
+    RooRealVar par_crystal_1_1("par_crystal_1_1", "par_crystal_1_1", 0.01, 9.1);
+    RooRealVar par_crystal_1_2("par_crystal_1_2", "par_crystal_1_2", 400, 549);
+    RooRealVar par_crystal_1_3("par_crystal_1_3", "par_crystal_1_3", 10, 200);
     RevCrystalBall f_crystal_1("f_crystal_1","f_crystal_1", *x_2, par_crystal_1_0, par_crystal_1_1, par_crystal_1_2, par_crystal_1_3);
     RooFitResult *r_crystal_1=f_crystal_1.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
     
@@ -387,153 +391,9 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     pave_crystal_1->Draw();
     type= "SB_crystal_1_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
     c_crystal_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
-    
-
-/*
-    RooRealVar par_gaus_bern_0("par_gaus_bern_0", "par_gaus_bern_0", 0.);
-    par_gaus_bern_0.setConstant(1);
-    RooRealVar par_gaus_bern_1("par_gaus_bern_1", "par_gaus_bern_1", 10, 1. , 100.);
-    RooRealVar par_gaus_bern_2("par_gaus_bern_2", "par_gaus_bern_2", 260, 160., 600. );
-    RooRealVar *par_gaus_bern_3, *par_gaus_bern_4, *par_gaus_bern_5, *par_gaus_bern_6, *par_gaus_bern_7, *bpar_gaus_bern_8;
-    par_gaus_bern_3=new RooRealVar("par_gaus_bern_3", "par_gaus_bern_3", 5.);
-    par_gaus_bern_3->setConstant(1);
-    par_gaus_bern_4=new RooRealVar("par_gaus_bern_4", "par_gaus_bern_4", 3, -10., 10.);
-    par_gaus_bern_5=new RooRealVar("par_gaus_bern_5", "par_gaus_bern_5", 1, -10., 10.);
-    par_gaus_bern_6=new RooRealVar("par_gaus_bern_6", "par_gaus_bern_6", -10., 10.);
-    par_gaus_bern_7=new RooRealVar("par_gaus_bern_7", "par_gaus_bern_7", -10., 10.);
-    par_gaus_bern_8=new RooRealVar("par_gaus_bern_8", "par_gaus_bern_8", -10., 5.);
-
-
-    RooGaussStepBernstein f_gaus_bern("f_gaus_bern","f_gaus_bern",*x_2, par_gaus_bern_0, par_gaus_bern_1, par_gaus_bern_2, RooArgList(*par_gaus_bern_3, *par_gaus_bern_4, *par_gaus_bern_5)); //, *par_gaus_bern_6));
-    RooFitResult *r_gaus_bern=f_gaus_bern.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
-
-    RooPlot *frame_gaus_bern=x_2->frame();
-    pred_2.plotOn(frame_gaus_bern, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_gaus_bern.plotOn(frame_gaus_bern, RooFit::VisualizeError(*r_gaus_bern, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
-    f_gaus_bern.plotOn(frame_gaus_bern, RooFit::LineColor(kBlue+1));
-    double fitChi2_gaus_bern=frame_gaus_bern->chiSquare();
-    RooAbsReal* chi2_gaus_bern = f_gaus_bern.createChi2(pred_2);
-    double pvalue_gaus_bern=TMath::Prob(chi2_gaus_bern->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
-
-    TCanvas *c_gaus_bern=new TCanvas("c_gaus_bern", "c_gaus_bern", 700, 700);
-    frame_gaus_bern->Draw();
-
-    TPaveText *pave_gaus_bern = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
-    pave_gaus_bern->SetBorderSize(0);
-    pave_gaus_bern->SetTextSize(0.03);
-    pave_gaus_bern->SetLineColor(1);
-    pave_gaus_bern->SetLineStyle(1);
-    pave_gaus_bern->SetLineWidth(2);
-    pave_gaus_bern->SetFillColor(0);
-    pave_gaus_bern->SetFillStyle(0);
-    pave_gaus_bern->AddText("Gaus_bern");
-    sprintf(value,"par_gaus_bern_0= %2.3f +- %2.3f",par_gaus_bern_0.getVal(),par_gaus_bern_0.getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_1= %2.3f +- %2.3f",par_gaus_bern_1.getVal(),par_gaus_bern_1.getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_2= %2.3f +- %2.3f",par_gaus_bern_2.getVal(),par_gaus_bern_2.getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_3= %2.3f +- %2.3f",par_gaus_bern_3->getVal(),par_gaus_bern_3->getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_4= %2.3f +- %2.3f",par_gaus_bern_4->getVal(),par_gaus_bern_4->getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_5= %2.3f +- %2.3f",par_gaus_bern_5->getVal(),par_gaus_bern_5->getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"par_gaus_bern_6= %2.3f +- %2.3f",par_gaus_bern_6->getVal(),par_gaus_bern_6->getError());
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
-    pave_gaus_bern->AddText(value);
-    sprintf(value,"chi^2 %2.1f",fitChi2_gaus_bern);
-    pave_gaus_bern->AddText(value);
-    pave_gaus_bern->Draw();
-    type= "SB_gaus_bern_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
-    c_gaus_bern->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
- 
-    
-
-
-    RooRealVar par_landau_0("par_landau_0","par_landau_0",5.54e+02,4.5e+02,6e+02) ;
-    RooRealVar par_landau_1("par_landau_1","par_landau_1",2.5e+01,18,30) ;
-    RooLandau f_landau("f_landau","f_landau",*x_2, par_landau_0, par_landau_1);
-    RooFitResult *r_landau=f_landau.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
-
-    RooPlot *frame_landau=x_2->frame();
-    pred_2.plotOn(frame_landau, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_landau.plotOn(frame_landau, RooFit::VisualizeError(*r_landau, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
-    f_landau.plotOn(frame_landau, RooFit::LineColor(kBlue+1));
-    double fitChi2_landau=frame_landau->chiSquare();
-    RooAbsReal* chi2_landau = f_landau.createChi2(pred_2);
-    double pvalue_landau=TMath::Prob(chi2_landau->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
 
-    TCanvas *c_landau=new TCanvas("c_landau", "c_landau", 700, 700);
-    frame_landau->Draw();
 
-    TPaveText *pave_landau = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
-    pave_landau->SetBorderSize(0);
-    pave_landau->SetTextSize(0.03);
-    pave_landau->SetLineColor(1);
-    pave_landau->SetLineStyle(1);
-    pave_landau->SetLineWidth(2);
-    pave_landau->SetFillColor(0);
-    pave_landau->SetFillStyle(0);
-    pave_landau->AddText("Landau");
-    sprintf(value,"par_landau_0= %2.3f +- %2.3f",par_landau_0.getVal(),par_landau_0.getError());
-    pave_landau->AddText(value);
-    sprintf(value,"par_landau_1= %2.3f +- %2.3f",par_landau_1.getVal(),par_landau_1.getError());
-    pave_landau->AddText(value);
-    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
-    pave_landau->AddText(value);
-    sprintf(value,"chi^2 %2.1f",fitChi2_landau);
-    pave_landau->AddText(value);
-    pave_landau->Draw();
-    type= "SB_landau_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
-    c_landau->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
-
-
-*/
-
-    
-    TH1* hh_pdf = f_gaus_exp.createHistogram("hh", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    TH1* hh_pdf_11 = f_crystal.createHistogram("hh1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    //TH1* hh_pdf_11 = f_novo.createHistogram("hh1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    TH1* hh_pdf_2 = f_gaus_exp.createHistogram("difference_1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    TH1* hh_pdf_4 = f_gaus_exp.createHistogram("sum", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    TH1* hh_pdf_5 = f_gaus_exp.createHistogram("ratio", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
-    hh_pdf_5->SetLineColor(kRed);
-    hh_pdf_2->Add(hh_pdf_11,-1);
-    hh_pdf_4->Add(hh_pdf_11,1);
-    hh_pdf_4->Scale(0.5);
-    hh_pdf_5->Add(hh_pdf,-1);
-    hh_pdf_5->Add(hh_pdf_2,1);
-    hh_pdf_5->Divide(hh_pdf_4);
-    hh_pdf_5->GetYaxis()->SetRangeUser(-1,1);
-    new TCanvas; hh_pdf_5->Draw();
- 
-    
-    
-    TH1* hh_pdf_1 = f_novo.createHistogram("hh_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    TH1* hh_pdf_1_1 = f_crystal_1.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    //TH1* hh_pdf_1_1 = f_gaus_bern.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    //TH1* hh_pdf_1_1 = f_gaus_exp.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    //TH1* hh_pdf_1_1 = f_landau.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    TH1* hh_pdf_2_1 = f_novo.createHistogram("difference_1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    TH1* hh_pdf_4_1 = f_novo.createHistogram("sum_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    TH1* hh_pdf_5_1 = f_novo.createHistogram("ratio_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
-    hh_pdf_5_1->SetLineColor(kRed);
-    hh_pdf_2_1->Add(hh_pdf_1_1,-1);
-    hh_pdf_4_1->Add(hh_pdf_1_1,1);
-    hh_pdf_4_1->Scale(0.5);
-    hh_pdf_5_1->Add(hh_pdf_1,-1);
-    hh_pdf_5_1->Add(hh_pdf_2_1,1);
-    hh_pdf_5_1->Divide(hh_pdf_4_1);
-    hh_pdf_5_1->GetYaxis()->SetRangeUser(-1,1);
-    new TCanvas; hh_pdf_5_1->Draw();
-    
-    
-    
-    
-    
-    
+    //LMR 1 gauss exp only            
     double xPad = 0.3;
     TCanvas *c_gaus_exp_1=new TCanvas("c_gaus_exp_1", "c_gaus_exp_1", 700*(1.-xPad), 700);
     c_gaus_exp_1->SetFillStyle(4000);
@@ -559,11 +419,11 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     
     
     RooPlot *frame_gaus_exp_1=x_1->frame();
-    pred_1.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3004));
-    f_crystal.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_crystal, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
-    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
-    f_crystal.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
+    pred_1.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::MarkerColor(kBlack));
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kRed), RooFit::FillStyle(3004));
+    //f_crystal.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_crystal, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(6));
+    //f_crystal.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
     
     
     if (log=="log") frame_gaus_exp_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5.);
@@ -593,13 +453,14 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     else sprintf(name,"SR_gaus_exp #chi^{2}/n = %.2f",fitChi2_gaus_exp);
     pave->AddText(name);
     pave->AddText(name1);
-    if (hist.substr(0,7)=="h_mX_SB") {
+    /* if (hist.substr(0,7)=="h_mX_SB") {
         sprintf(name,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
         sprintf(name1,"p-value_crystal = %.2f",pvalue_crystal);
     }
     else sprintf(name,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
     pave->AddText(name);
     pave->AddText(name1);
+    */
     pave->Draw();
     
     TLatex * tPrel = new TLatex();
@@ -623,11 +484,11 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
         
     }
     else leg->AddEntry(h_mX_SR, "Data in SR", "ep");
-    TH1F * temp = new TH1F("temp", "temp", 100, 0,1); temp->SetLineWidth(2);  temp->SetLineColor(kBlack);
+    TH1F * temp = new TH1F("temp", "temp", 100, 0,1); temp->SetLineWidth(2);  temp->SetLineColor(kBlue);
     leg->AddEntry(temp, "GaussExp fit", "l");
-    TH1F * temp1 = new TH1F("temp1", "temp1", 100, 0,1); temp1->SetLineWidth(2);
-    temp1->SetLineColor(kRed);
-    leg->AddEntry(temp1, "CrystalBall fit", "l");
+    //TH1F * temp1 = new TH1F("temp1", "temp1", 100, 0,1); temp1->SetLineWidth(2);
+    //temp1->SetLineColor(kRed);
+    //leg->AddEntry(temp1, "CrystalBall fit", "l");
     leg->Draw();
     
     CMS_lumi( p_1, iPeriod, iPos );
@@ -636,16 +497,16 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     RooHist *hpull, *hpull1;
     hpull = frame_gaus_exp->pullHist();
     hpull->SetLineWidth(2);
-    hpull1 = frame_crystal->pullHist();
-    hpull1->SetMarkerColor(kRed);
-    hpull1->SetLineStyle(kDashed);
-    hpull1->SetMarkerSize(0.6);
-    hpull1->SetLineColor(kRed);
+    //hpull1 = frame_crystal->pullHist();
+    //hpull1->SetMarkerColor(kRed);
+    //hpull1->SetLineStyle(kDashed);
+    //hpull1->SetMarkerSize(0.6);
+    //hpull1->SetLineColor(kRed);
     RooPlot* frameP = x_1->frame() ;
     
     frameP->SetTitle("; m_{X} (GeV); Pull");
     frameP->addPlotable(hpull,"P");
-    frameP->addPlotable(hpull1,"P same");
+    //frameP->addPlotable(hpull1,"P same");
     frameP->GetYaxis()->SetTitleSize(0.07);
     frameP->GetYaxis()->SetTitleOffset(0.5);
     frameP->GetXaxis()->SetTitleSize(0.09);
@@ -665,7 +526,8 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.png").c_str());
     c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.pdf").c_str());
  
-    
+
+    //LMR2 unblind   
     TCanvas *c_novo_1=new TCanvas("c_novo_1", "c_novo_1", 700*(1.-xPad), 700);
     c_novo_1->SetFillStyle(4000);
     c_novo_1->SetFrameFillColor(0);
@@ -691,10 +553,10 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     
     RooPlot *frame_novo_1=x_2->frame();
     pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_crystal_1.plotOn(frame_novo_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3001));
-    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3004));
-    f_crystal_1.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
-    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
+    //f_crystal_1.plotOn(frame_novo_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3001));
+    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));
+    //f_crystal_1.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
+    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
     
     
     if (log=="log") frame_novo_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5);
@@ -712,25 +574,26 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     pave_1->SetTextSize(0.03);
     pave_1->SetLineColor(1);
     pave_1->SetLineStyle(1);
-    pave_1->SetLineWidth(2);
+    pave_1->SetLineWidth(1);
     pave_1->SetFillColor(0);
     pave_1->SetFillStyle(0);
     char name_1[1000];
     char name_11[1000];
-    if (hist.substr(0,7)=="h_mX_SB") {
+    /*if (hist.substr(0,7)=="h_mX_SB") {
         sprintf(name_1,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
         sprintf(name_11,"p-value_crystal = %.2f",pvalue_crystal_1);
     }
     else sprintf(name_1,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
     pave_1->AddText(name_1);
     pave_1->AddText(name_11);
+    */
     if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name_1,"SB_novo #chi^{2}/n = %.2f",fitChi2_Novo);
-        sprintf(name_11,"p-value_novo = %.2f",pvalue_novo);
+        sprintf(name_1,"#chi^{2}/n = %.2f",fitChi2_Novo);
+//        sprintf(name_11,"p-value_novo = %.2f",pvalue_novo);
     }
-    else sprintf(name_1,"SR_novo #chi^{2}/n = %.2f",fitChi2_Novo);
+    else sprintf(name_1,"#chi^{2}/n = %.2f",fitChi2_Novo);
     pave_1->AddText(name_1);
-    pave_1->AddText(name_11);
+    //pave_1->AddText(name_11);
     pave_1->Draw();
     
     TLatex * tPrel_1 = new TLatex();
@@ -754,10 +617,10 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
         
     }
     else leg_1->AddEntry(h_mX_SR, "Data in SR", "ep");
-    TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kRed);
+    TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kBlue);
     TH1F* temp_11 = new TH1F("temp_11", "temp_11", 100, 0,1); temp_11->SetLineWidth(2);
     temp_11->SetLineColor(kBlack);
-    leg_1->AddEntry(temp_11, "CrystalBall fit", "l");
+    //leg_1->AddEntry(temp_11, "CrystalBall fit", "l");
     leg_1->AddEntry(temp_1, "Novorsibisk fit", "l");
     leg_1->Draw();
     
@@ -767,16 +630,16 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     RooHist *hpull_1, *hpull_11;
     hpull_1 = frame_novo->pullHist();
     hpull_1->SetLineWidth(2);
-    hpull_11 = frame_crystal_1->pullHist();
-    hpull_11->SetLineStyle(kDashed);
-    hpull_11->SetLineColor(kRed);
-    hpull_11->SetMarkerSize(0.6);
-    hpull_11->SetMarkerColor(kRed);
+    //hpull_11 = frame_crystal_1->pullHist();
+    //hpull_11->SetLineStyle(kDashed);
+    //hpull_11->SetLineColor(kRed);
+    //hpull_11->SetMarkerSize(0.6);
+    //hpull_11->SetMarkerColor(kRed);
     RooPlot* frameP_1 = x_2->frame() ;
     
     frameP_1->SetTitle("; m_{X} (GeV); Pull");
     frameP_1->addPlotable(hpull_1,"P");
-    frameP_1->addPlotable(hpull_11,"P same");
+    //frameP_1->addPlotable(hpull_11,"P same");
     frameP_1->GetYaxis()->SetTitleSize(0.07);
     frameP_1->GetYaxis()->SetTitleOffset(0.5);
     frameP_1->GetXaxis()->SetTitleSize(0.09);
@@ -794,82 +657,55 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.pdf").c_str());
     
     
-    
-    
-    
-    
-    
-    
-    
-    TH1F *h_mX_SR_fakeData=(TH1F*)h_mX_SR->Clone("h_mX_SR_fakeData");
+    TH1F *h_mX_SR_fakeData=(TH1F*)h_mX_SR->Clone("h_mX_SR_fakeData");    
     h_mX_SR_fakeData->Scale(nEventsSR/h_mX_SR_fakeData->GetSumOfWeights());
+
     
     RooDataHist data_obs_crystal(Form("data_obs_crystal_%d_%d",range_lo_1, range_hi_1), "Data", RooArgList(*x_1), h_mX_SR_fakeData);
     RooDataHist data_obs_gaus_exp(Form("data_obs_gaus_exp_%d_%d",range_lo_1, range_hi_1), "Data", RooArgList(*x_1), h_mX_SR_fakeData);
     RooDataHist data_obs_novo(Form("data_obs_novo_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
     RooDataHist data_obs_crystal_1(Form("data_obs_crystal_1_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
-    //RooDataHist data_obs_gaus_bern(Form("data_obs_gaus_bern_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
-    //RooDataHist data_obs_landau(Form("data_obs_landau_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
-    
-    RooRealVar f_crystal_norm("f_crystal_norm","f_crystal_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))); 
+
     RooWorkspace *w_background_crystal=new RooWorkspace("HbbHbb");
     w_background_crystal->import(data_obs_crystal);
     w_background_crystal->import(f_crystal);
-    //w_background_crystal->import(f_crystal_norm);
     w_background_crystal->SaveAs((dest_dir+"/"+Form("w_background_crystal_%d_%d.root",range_lo_1,range_hi_1)).c_str());
-    
-    RooRealVar f_gaus_exp_norm("f_gaus_exp_norm","f_gaus_exp_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))); 
+     
     RooWorkspace *w_background_gaus_exp=new RooWorkspace("HbbHbb");
     w_background_gaus_exp->import(data_obs_gaus_exp);
     w_background_gaus_exp->import(f_gaus_exp);
-    //w_background_gaus_exp->import(f_gaus_exp_norm);
     w_background_gaus_exp->SaveAs((dest_dir+"/"+Form("w_background_gaus_exp_%d_%d.root",range_lo_1,range_hi_1)).c_str());
     
-    
-    RooRealVar f_novo_norm("f_novo_norm","f_novo_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))); 
     RooWorkspace *w_background_novo=new RooWorkspace("HbbHbb");
     w_background_novo->import(data_obs_novo);
     w_background_novo->import(f_novo);
-    //w_background_novo->import(f_novo_norm);
     w_background_novo->SaveAs((dest_dir+"/"+Form("w_background_novo_%d_%d.root",range_lo_2,range_hi_2)).c_str());
-
-    RooRealVar f_crystal_1_norm("f_crystal_1_norm","f_crystal_1_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))); 
+ 
     RooWorkspace *w_background_crystal_1=new RooWorkspace("HbbHbb");
     w_background_crystal_1->import(data_obs_crystal_1);
     w_background_crystal_1->import(f_crystal_1);
-    //w_background_crystal_1->import(f_crystal_1_norm);
     w_background_crystal_1->SaveAs((dest_dir+"/"+Form("w_background_crystal_1_%d_%d.root",range_lo_2,range_hi_2)).c_str());
-
-/*
-    RooWorkspace *w_background_gaus_bern=new RooWorkspace("HbbHbb");
-    w_background_gaus_bern->import(data_obs_gaus_bern);
-    w_background_gaus_bern->import(f_gaus_bern);
-    w_background_gaus_bern->SaveAs((dest_dir+"/"+Form("w_background_gaus_bern_%d_%d.root",range_lo_2,range_hi_2)).c_str());
-
-
-    RooWorkspace *w_background_landau=new RooWorkspace("HbbHbb");
-    w_background_landau->import(data_obs_landau);
-    w_background_landau->import(f_landau);
-    w_background_landau->SaveAs((dest_dir+"/"+Form("w_background_landau_%d_%d.root",range_lo_2,range_hi_2)).c_str());
-*/
-    
-    
-    
+ 
+    //Right normalization for background
     std::cout<<" === RooFit data fit result to be entered in datacard === "<<std::endl;
-    
+    if (hist.substr(0,7)=="h_mX_SB"){    
     std::cout<<Form(" Background number of crystal_%d_%d = ", range_lo_1, range_hi_1)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))<<std::endl;
     std::cout<<Form(" Background number of gaus_exp_%d_%d = ", range_lo_1, range_hi_1)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))<<std::endl;
     std::cout<<Form(" Background number of novo_%d_%d = ", range_lo_2, range_hi_2)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))<<std::endl;
     std::cout<<Form(" Background number of crystal_1_%d_%d = ", range_lo_2, range_hi_2)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))<<std::endl;
-    
+    }
+    else{
+    std::cout<<Form(" Background number of crystal_%d_%d = ", range_lo_1, range_hi_1)<<h_SR->Integral(range_lo_1,range_hi_1)<<std::endl;
+    std::cout<<Form(" Background number of gaus_exp_%d_%d = ", range_lo_1, range_hi_1)<<h_SR->Integral(range_lo_1,range_hi_1)<<std::endl;
+    std::cout<<Form(" Background number of novo_%d_%d = ", range_lo_2, range_hi_2)<<h_SR->Integral(range_lo_2,range_hi_2)<<std::endl;
+    std::cout<<Form(" Background number of crystal_1_%d_%d = ", range_lo_2, range_hi_2)<<h_SR->Integral(range_lo_2,range_hi_2)<<std::endl;        
+    }
     
     std::cout<<"par_crystal_0   param   "<<par_crystal_0.getVal()<<" "<<par_crystal_0.getError()<<std::endl;
     std::cout<<"par_crystal_1   param   "<<par_crystal_1.getVal()<<" "<<par_crystal_1.getError()<<std::endl;
     std::cout<<"par_crystal_2   param   "<<par_crystal_2.getVal()<<" "<<par_crystal_2.getError()<<std::endl;
     std::cout<<"par_crystal_3   param   "<<par_crystal_3.getVal()<<" "<<par_crystal_3.getError()<<std::endl;
     
-    
-    
     std::cout<<"par_crystal_1_0   param   "<<par_crystal_1_0.getVal()<<" "<<par_crystal_1_0.getError()<<std::endl;
     std::cout<<"par_crystal_1_1   param   "<<par_crystal_1_1.getVal()<<" "<<par_crystal_1_1.getError()<<std::endl;
     std::cout<<"par_crystal_1_2   param   "<<par_crystal_1_2.getVal()<<" "<<par_crystal_1_2.getError()<<std::endl;
diff --git a/BackgroundPrediction_Kinematic_Split_MMR_blinded.c b/BackgroundPrediction_Kinematic_Split_MMR_blinded.c
new file mode 100644
index 0000000..21fd4c6
--- /dev/null
+++ b/BackgroundPrediction_Kinematic_Split_MMR_blinded.c
@@ -0,0 +1,887 @@
+#include <TH1F.h>
+#include <TROOT.h>
+#include <TFile.h>
+#include <TLegend.h>
+#include <TCanvas.h>
+#include <TProfile.h>
+#include <iostream>
+#include <TStyle.h>
+#include <TPaveText.h>
+#include <THStack.h>
+#include <TF1.h>
+#include <TSystem.h>
+#include <TGraphErrors.h>
+#include <TF1.h>
+#include <TLine.h>
+#include <RooPolynomial.h>
+
+int iPeriod = 4;
+int iPos = 11;
+
+#include "CMS_lumi.h"
+#include <iostream>
+
+void
+CMS_lumi( TPad* pad, int iPeriod, int iPosX )
+{
+    bool outOfFrame    = false;
+    if( iPosX/10==0 )
+    {
+        outOfFrame = true;
+    }
+    int alignY_=3;
+    int alignX_=2;
+    if( iPosX/10==0 ) alignX_=1;
+    if( iPosX==0    ) alignX_=1;
+    if( iPosX==0    ) alignY_=1;
+    if( iPosX/10==1 ) alignX_=1;
+    if( iPosX/10==2 ) alignX_=2;
+    if( iPosX/10==3 ) alignX_=3;
+    if( iPosX == 0  ) relPosX = 0.14;
+    int align_ = 10*alignX_ + alignY_;
+    
+    float H = pad->GetWh();
+    float W = pad->GetWw();
+    float l = pad->GetLeftMargin();
+    float t = pad->GetTopMargin();
+    float r = pad->GetRightMargin();
+    float b = pad->GetBottomMargin();
+    
+    pad->cd();
+    
+    TString lumiText;
+    if( iPeriod==1 )
+    {
+        lumiText += lumi_7TeV;
+        lumiText += " (7 TeV)";
+    }
+    else if ( iPeriod==2 )
+    {
+        lumiText += lumi_8TeV;
+        lumiText += " (8 TeV)";
+    }
+    else if( iPeriod==3 )
+    {
+        lumiText = lumi_8TeV;
+        lumiText += " (8 TeV)";
+        lumiText += " + ";
+        lumiText += lumi_7TeV;
+        lumiText += " (7 TeV)";
+    }
+    else if ( iPeriod==4 )
+    {
+        lumiText += lumi_13TeV;
+        lumiText += " (13 TeV)";
+    }
+    else if ( iPeriod==7 )
+    {
+        if( outOfFrame ) lumiText += "#scale[0.85]{";
+        lumiText += lumi_13TeV;
+        lumiText += " (13 TeV)";
+        lumiText += " + ";
+        lumiText += lumi_8TeV;
+        lumiText += " (8 TeV)";
+        lumiText += " + ";
+        lumiText += lumi_7TeV;
+        lumiText += " (7 TeV)";
+        if( outOfFrame) lumiText += "}";
+    }
+    else if ( iPeriod==12 )
+    {
+        lumiText += "8 TeV";
+    }
+    else if ( iPeriod==0 )
+    {
+        lumiText += lumi_sqrtS;
+    }
+    
+    std::cout << lumiText << endl;
+    
+    TLatex latex;
+    latex.SetNDC();
+    latex.SetTextAngle(0);
+    latex.SetTextColor(kBlack);
+    
+    float extraTextSize = extraOverCmsTextSize*cmsTextSize;
+    
+    latex.SetTextFont(42);
+    latex.SetTextAlign(31);
+    latex.SetTextSize(lumiTextSize*t);
+    latex.DrawLatex(1-r,1-t+lumiTextOffset*t,lumiText);
+    
+    if( outOfFrame )
+    {
+        latex.SetTextFont(cmsTextFont);
+        latex.SetTextAlign(11);
+        latex.SetTextSize(cmsTextSize*t);
+        latex.DrawLatex(l,1-t+lumiTextOffset*t,cmsText);
+    }
+    
+    pad->cd();
+    
+    float posX_=0;
+    if( iPosX%10<=1 )
+    {
+        posX_ =   l + relPosX*(1-l-r);
+    }
+    else if( iPosX%10==2 )
+    {
+        posX_ =  l + 0.5*(1-l-r);
+    }
+    else if( iPosX%10==3 )
+    {
+        posX_ =  1-r - relPosX*(1-l-r);
+    }
+    float posY_ = 1-t - relPosY*(1-t-b);
+    if( !outOfFrame )
+    {
+        if( drawLogo )
+        {
+            posX_ =   l + 0.045*(1-l-r)*W/H;
+            posY_ = 1-t - 0.045*(1-t-b);
+            float xl_0 = posX_;
+            float yl_0 = posY_ - 0.15;
+            float xl_1 = posX_ + 0.15*H/W;
+            float yl_1 = posY_;
+            TASImage* CMS_logo = new TASImage("CMS-BW-label.png");
+            TPad* pad_logo = new TPad("logo","logo", xl_0, yl_0, xl_1, yl_1 );
+            pad_logo->Draw();
+            pad_logo->cd();
+            CMS_logo->Draw("X");
+            pad_logo->Modified();
+            pad->cd();
+        }
+        else
+        {
+            latex.SetTextFont(cmsTextFont);
+            latex.SetTextSize(cmsTextSize*t);
+            latex.SetTextAlign(align_);
+            latex.DrawLatex(posX_, posY_, cmsText);
+            if( writeExtraText )
+            {
+                latex.SetTextFont(extraTextFont);
+                latex.SetTextAlign(align_);
+                latex.SetTextSize(extraTextSize*t);
+                latex.DrawLatex(posX_, posY_- relExtraDY*cmsTextSize*t, extraText);
+            }
+        }
+    }
+    else if( writeExtraText )
+    {
+        if( iPosX==0)
+        {
+            posX_ =   l +  relPosX*(1-l-r);
+            posY_ =   1-t+lumiTextOffset*t;
+        }
+        latex.SetTextFont(extraTextFont);
+        latex.SetTextSize(extraTextSize*t);
+        latex.SetTextAlign(align_);
+        latex.DrawLatex(posX_, posY_, extraText);
+    }
+    return;
+}
+
+
+std::string itoa(int i)
+{
+    char res[10];
+    sprintf(res, "%d", i);
+    std::string ret(res);
+    return ret;
+}
+
+void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, double rebin,
+                                                 int range_lo_2, int range_hi_2,
+                                                 std::string hist="h_mX_SB_kinFit",
+                                                 std::string log="lin",
+                                                 std::string filename="Histograms_MMR_BTagTotal.root",
+                                                 std::string dest_dir="")
+{
+    gROOT->SetStyle("Plain");
+    gStyle->SetPadGridX(0);
+    gStyle->SetPadGridY(0);
+    gStyle->SetOptStat(0000);
+    writeExtraText = true;
+    extraText  = "Preliminary";
+    lumi_13TeV  = "35.9 fb^{-1}";
+
+
+    TFile *f_data=new TFile((dest_dir+"/"+filename).c_str());
+    TH1F *h_mX_SR=(TH1F*)f_data->Get(hist.c_str());
+    h_mX_SR->Rebin(rebin);
+    TH1F *h_SR=(TH1F*)f_data->Get("h_mX_SR_kinFit");
+    double nEventsSR= h_SR->Integral();
+
+
+    char value[1000];
+    
+    RooRealVar *x_1 = new RooRealVar("x", "m_{X} (GeV)", range_lo_1, range_hi_1);
+    RooRealVar *x_2 = new RooRealVar("x", "m_{X} (GeV)", range_lo_2, range_hi_2);
+    RooDataHist pred_1("pred_1", "Data", RooArgList(*x_1), h_mX_SR);
+    RooDataHist pred_2("pred_2", "Data", RooArgList(*x_2), h_mX_SR);
+    
+    string type;
+
+    RooRealVar par_crystal_0("par_crystal_0", "par_crystal_0", 0.01, 5.1);
+    RooRealVar par_crystal_1("par_crystal_1", "par_crystal_1", 0.01, 5.1);
+    RooRealVar par_crystal_2("par_crystal_2", "par_crystal_2", 400, 600);
+    RooRealVar par_crystal_3("par_crystal_3", "par_crystal_3", 10, 200);
+    RevCrystalBall f_crystal("f_crystal","f_crystal", *x_1, par_crystal_0, par_crystal_1, par_crystal_2, par_crystal_3);
+    RooFitResult *r_crystal=f_crystal.fitTo(pred_1, RooFit::Range(range_lo_1, range_hi_1), RooFit::Save());
+    
+    RooPlot *frame_crystal=x_1->frame();
+    pred_1.plotOn(frame_crystal, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_crystal.plotOn(frame_crystal, RooFit::VisualizeError(*r_crystal, 1.), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_crystal.plotOn(frame_crystal, RooFit::LineColor(kBlue+1));
+    double fitChi2_crystal=frame_crystal->chiSquare();
+    RooAbsReal* chi2_crystal = f_crystal.createChi2(pred_1);
+    double pvalue_crystal=TMath::Prob(chi2_crystal->getVal(),int((range_hi_1-range_lo_1)/rebin)-3);
+    
+    TCanvas *c_crystal=new TCanvas("c_crystal", "c_crystal", 700, 700);
+    frame_crystal->Draw();
+    
+    TPaveText *pave_crystal = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_crystal->SetBorderSize(0);
+    pave_crystal->SetTextSize(0.03);
+    pave_crystal->SetLineColor(1);
+    pave_crystal->SetLineStyle(1);
+    pave_crystal->SetLineWidth(2);
+    pave_crystal->SetFillColor(0);
+    pave_crystal->SetFillStyle(0);
+    pave_crystal->AddText("RevCrystal");
+    sprintf(value,"par_crystal_0 = %2.3f +- %2.3f",par_crystal_0.getVal(),par_crystal_0.getError());
+    pave_crystal->AddText(value);
+    sprintf(value,"par_crystal_1 = %2.3f +- %2.3f",par_crystal_1.getVal(),par_crystal_1.getError());
+    pave_crystal->AddText(value);
+    sprintf(value,"par_crystal_2 = %2.3f +- %2.3f",par_crystal_2.getVal(),par_crystal_2.getError());
+    pave_crystal->AddText(value);
+    sprintf(value,"par_crystal_3 = %2.3f +- %2.3f",par_crystal_3.getVal(),par_crystal_3.getError());
+    pave_crystal->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_1,range_hi_1);
+    pave_crystal->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_crystal);
+    pave_crystal->AddText(value);
+    pave_crystal->Draw();
+    type= "SB_crystal_"+to_string(range_lo_1)+"_"+to_string(range_hi_1);
+    c_crystal->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+    
+    RooRealVar par_gaus_exp_0("par_gaus_exp_0", "par_gaus_exp_0", 400, 700);
+    RooRealVar par_gaus_exp_1("par_gaus_exp_1", "par_gaus_exp_1", 9, 100);
+    RooRealVar par_gaus_exp_2("par_gaus_exp_2", "par_gaus_exp_2", 0.05, 3.1);
+    GaussExp f_gaus_exp("f_gaus_exp", "Background Prediction PDF", *x_1, par_gaus_exp_0, par_gaus_exp_1, par_gaus_exp_2);
+    RooFitResult *r_gaus_exp=f_gaus_exp.fitTo(pred_1, RooFit::Range(range_lo_1, range_hi_1), RooFit::Save());
+    
+    RooPlot *frame_gaus_exp=x_1->frame();
+    pred_1.plotOn(frame_gaus_exp, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_gaus_exp.plotOn(frame_gaus_exp, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_gaus_exp.plotOn(frame_gaus_exp, RooFit::LineColor(kBlue+1));
+    double fitChi2_gaus_exp=frame_gaus_exp->chiSquare();
+    RooAbsReal* chi2_gaus_exp = f_gaus_exp.createChi2(pred_1);
+    double pvalue_gaus_exp=TMath::Prob(chi2_gaus_exp->getVal(),int((range_hi_1-range_lo_1)/rebin)-3);
+    TCanvas *c_gaus_exp=new TCanvas("c_gaus_exp", "c_gaus_exp", 700, 700);
+    frame_gaus_exp->Draw();
+    
+    TPaveText *pave_gaus_exp = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_gaus_exp->SetBorderSize(0);
+    pave_gaus_exp->SetTextSize(0.03);
+    pave_gaus_exp->SetLineColor(1);
+    pave_gaus_exp->SetLineStyle(1);
+    pave_gaus_exp->SetLineWidth(2);
+    pave_gaus_exp->SetFillColor(0);
+    pave_gaus_exp->SetFillStyle(0);
+    pave_gaus_exp->AddText("Gaus_Exp");
+    sprintf(value,"par_gaus_exp_0= %2.3f +- %2.3f",par_gaus_exp_0.getVal(),par_gaus_exp_0.getError());
+    pave_gaus_exp->AddText(value);
+    sprintf(value,"par_gaus_exp_1= %2.3f +- %2.3f",par_gaus_exp_1.getVal(),par_gaus_exp_1.getError());
+    pave_gaus_exp->AddText(value);
+    sprintf(value,"par_gaus_exp_2= %2.3f +- %2.3f",par_gaus_exp_2.getVal(),par_gaus_exp_2.getError());
+    pave_gaus_exp->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_gaus_exp);
+    pave_gaus_exp->AddText(value);
+    pave_gaus_exp->Draw();
+    type= "SB_gaus_exp_"+to_string(range_lo_1)+"_"+to_string(range_hi_1);
+    c_gaus_exp->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+    
+    
+    
+    RooRealVar par_novo_0("par_novo_0", "par_novo_0", 300, 445);
+    RooRealVar par_novo_1("par_novo_1", "par_novo_1", 0.01, 300);
+    RooRealVar par_novo_2("par_novo_2", "par_novo_2", -10, 1);
+    RooNovosibirsk f_novo("f_novo", "Background Prediction PDF", *x_2, par_novo_0, par_novo_1, par_novo_2);
+    RooFitResult *r_novo=f_novo.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
+    
+    RooPlot *frame_novo=x_2->frame();
+    pred_2.plotOn(frame_novo, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_novo.plotOn(frame_novo, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_novo.plotOn(frame_novo, RooFit::LineColor(kBlue+1));
+    double fitChi2_Novo=frame_novo->chiSquare();
+    RooAbsReal* chi2_novo = f_novo.createChi2(pred_2);
+    double pvalue_novo=TMath::Prob(chi2_novo->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
+    
+    TCanvas *c_novo=new TCanvas("c_novo", "c_novo", 700, 700);
+    frame_novo->Draw();
+    
+    TPaveText *pave_novo = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_novo->SetBorderSize(0);
+    pave_novo->SetTextSize(0.03);
+    pave_novo->SetLineColor(1);
+    pave_novo->SetLineStyle(1);
+    pave_novo->SetLineWidth(2);
+    pave_novo->SetFillColor(0);
+    pave_novo->SetFillStyle(0);
+    pave_novo->AddText("Novo");
+    sprintf(value,"par_novo_0= %2.3f +- %2.3f",par_novo_0.getVal(),par_novo_0.getError());
+    pave_novo->AddText(value);
+    sprintf(value,"par_novo_1= %2.3f +- %2.3f",par_novo_1.getVal(),par_novo_1.getError());
+    pave_novo->AddText(value);
+    sprintf(value,"par_novo_2= %2.3f +- %2.3f",par_novo_2.getVal(),par_novo_2.getError());
+    pave_novo->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
+    pave_novo->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_Novo);
+    pave_novo->AddText(value);
+    pave_novo->Draw();
+    type= "SB_novo_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
+    c_novo->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+    
+    
+    RooRealVar par_crystal_1_0("par_crystal_1_0", "par_crystal_1_0", 0.01, 9.1);
+    RooRealVar par_crystal_1_1("par_crystal_1_1", "par_crystal_1_1", 0.01, 9.1);
+    RooRealVar par_crystal_1_2("par_crystal_1_2", "par_crystal_1_2", 400, 549);
+    RooRealVar par_crystal_1_3("par_crystal_1_3", "par_crystal_1_3", 10, 200);
+    RevCrystalBall f_crystal_1("f_crystal_1","f_crystal_1", *x_2, par_crystal_1_0, par_crystal_1_1, par_crystal_1_2, par_crystal_1_3);
+    RooFitResult *r_crystal_1=f_crystal_1.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
+    
+    RooPlot *frame_crystal_1=x_2->frame();
+    pred_2.plotOn(frame_crystal_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_crystal_1.plotOn(frame_crystal_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_crystal_1.plotOn(frame_crystal_1, RooFit::LineColor(kBlue+1));
+    double fitChi2_crystal_1=frame_crystal_1->chiSquare();
+    RooAbsReal* chi2_crystal_1 = f_crystal_1.createChi2(pred_2);
+    double pvalue_crystal_1=TMath::Prob(chi2_crystal_1->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
+    
+    TCanvas *c_crystal_1=new TCanvas("c_crystal_1", "c_crystal_1", 700, 700);
+    frame_crystal_1->Draw();
+    
+    TPaveText *pave_crystal_1 = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_crystal_1->SetBorderSize(0);
+    pave_crystal_1->SetTextSize(0.03);
+    pave_crystal_1->SetLineColor(1);
+    pave_crystal_1->SetLineStyle(1);
+    pave_crystal_1->SetLineWidth(2);
+    pave_crystal_1->SetFillColor(0);
+    pave_crystal_1->SetFillStyle(0);
+    pave_crystal_1->AddText("Revcrystal_1");
+    sprintf(value,"par_crystal_1_0= %2.3f +- %2.3f",par_crystal_1_0.getVal(),par_crystal_1_0.getError());
+    pave_crystal_1->AddText(value);
+    sprintf(value,"par_crystal_1_1= %2.3f +- %2.3f",par_crystal_1_1.getVal(),par_crystal_1_1.getError());
+    pave_crystal_1->AddText(value);
+    sprintf(value,"par_crystal_1_2= %2.3f +- %2.3f",par_crystal_1_2.getVal(),par_crystal_1_2.getError());
+    pave_crystal_1->AddText(value);
+    sprintf(value,"par_crystal_1_3= %2.3f +- %2.3f",par_crystal_1_3.getVal(),par_crystal_1_3.getError());
+    pave_crystal_1->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
+    pave_crystal_1->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_crystal_1);
+    pave_crystal_1->AddText(value);
+    pave_crystal_1->Draw();
+    type= "SB_crystal_1_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
+    c_crystal_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+    
+
+/*
+    RooRealVar par_gaus_bern_0("par_gaus_bern_0", "par_gaus_bern_0", 0.);
+    par_gaus_bern_0.setConstant(1);
+    RooRealVar par_gaus_bern_1("par_gaus_bern_1", "par_gaus_bern_1", 10, 1. , 100.);
+    RooRealVar par_gaus_bern_2("par_gaus_bern_2", "par_gaus_bern_2", 260, 160., 600. );
+    RooRealVar *par_gaus_bern_3, *par_gaus_bern_4, *par_gaus_bern_5, *par_gaus_bern_6, *par_gaus_bern_7, *bpar_gaus_bern_8;
+    par_gaus_bern_3=new RooRealVar("par_gaus_bern_3", "par_gaus_bern_3", 5.);
+    par_gaus_bern_3->setConstant(1);
+    par_gaus_bern_4=new RooRealVar("par_gaus_bern_4", "par_gaus_bern_4", 3, -10., 10.);
+    par_gaus_bern_5=new RooRealVar("par_gaus_bern_5", "par_gaus_bern_5", 1, -10., 10.);
+    par_gaus_bern_6=new RooRealVar("par_gaus_bern_6", "par_gaus_bern_6", -10., 10.);
+    par_gaus_bern_7=new RooRealVar("par_gaus_bern_7", "par_gaus_bern_7", -10., 10.);
+    par_gaus_bern_8=new RooRealVar("par_gaus_bern_8", "par_gaus_bern_8", -10., 5.);
+
+
+    RooGaussStepBernstein f_gaus_bern("f_gaus_bern","f_gaus_bern",*x_2, par_gaus_bern_0, par_gaus_bern_1, par_gaus_bern_2, RooArgList(*par_gaus_bern_3, *par_gaus_bern_4, *par_gaus_bern_5)); //, *par_gaus_bern_6));
+    RooFitResult *r_gaus_bern=f_gaus_bern.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
+
+    RooPlot *frame_gaus_bern=x_2->frame();
+    pred_2.plotOn(frame_gaus_bern, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_gaus_bern.plotOn(frame_gaus_bern, RooFit::VisualizeError(*r_gaus_bern, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_gaus_bern.plotOn(frame_gaus_bern, RooFit::LineColor(kBlue+1));
+    double fitChi2_gaus_bern=frame_gaus_bern->chiSquare();
+    RooAbsReal* chi2_gaus_bern = f_gaus_bern.createChi2(pred_2);
+    double pvalue_gaus_bern=TMath::Prob(chi2_gaus_bern->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
+
+    TCanvas *c_gaus_bern=new TCanvas("c_gaus_bern", "c_gaus_bern", 700, 700);
+    frame_gaus_bern->Draw();
+
+    TPaveText *pave_gaus_bern = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_gaus_bern->SetBorderSize(0);
+    pave_gaus_bern->SetTextSize(0.03);
+    pave_gaus_bern->SetLineColor(1);
+    pave_gaus_bern->SetLineStyle(1);
+    pave_gaus_bern->SetLineWidth(2);
+    pave_gaus_bern->SetFillColor(0);
+    pave_gaus_bern->SetFillStyle(0);
+    pave_gaus_bern->AddText("Gaus_bern");
+    sprintf(value,"par_gaus_bern_0= %2.3f +- %2.3f",par_gaus_bern_0.getVal(),par_gaus_bern_0.getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_1= %2.3f +- %2.3f",par_gaus_bern_1.getVal(),par_gaus_bern_1.getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_2= %2.3f +- %2.3f",par_gaus_bern_2.getVal(),par_gaus_bern_2.getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_3= %2.3f +- %2.3f",par_gaus_bern_3->getVal(),par_gaus_bern_3->getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_4= %2.3f +- %2.3f",par_gaus_bern_4->getVal(),par_gaus_bern_4->getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_5= %2.3f +- %2.3f",par_gaus_bern_5->getVal(),par_gaus_bern_5->getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_6= %2.3f +- %2.3f",par_gaus_bern_6->getVal(),par_gaus_bern_6->getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_gaus_bern);
+    pave_gaus_bern->AddText(value);
+    pave_gaus_bern->Draw();
+    type= "SB_gaus_bern_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
+    c_gaus_bern->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+ 
+    
+
+
+    RooRealVar par_landau_0("par_landau_0","par_landau_0",5.54e+02,4.5e+02,6e+02) ;
+    RooRealVar par_landau_1("par_landau_1","par_landau_1",2.5e+01,18,30) ;
+    RooLandau f_landau("f_landau","f_landau",*x_2, par_landau_0, par_landau_1);
+    RooFitResult *r_landau=f_landau.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
+
+    RooPlot *frame_landau=x_2->frame();
+    pred_2.plotOn(frame_landau, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_landau.plotOn(frame_landau, RooFit::VisualizeError(*r_landau, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_landau.plotOn(frame_landau, RooFit::LineColor(kBlue+1));
+    double fitChi2_landau=frame_landau->chiSquare();
+    RooAbsReal* chi2_landau = f_landau.createChi2(pred_2);
+    double pvalue_landau=TMath::Prob(chi2_landau->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
+
+    TCanvas *c_landau=new TCanvas("c_landau", "c_landau", 700, 700);
+    frame_landau->Draw();
+
+    TPaveText *pave_landau = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_landau->SetBorderSize(0);
+    pave_landau->SetTextSize(0.03);
+    pave_landau->SetLineColor(1);
+    pave_landau->SetLineStyle(1);
+    pave_landau->SetLineWidth(2);
+    pave_landau->SetFillColor(0);
+    pave_landau->SetFillStyle(0);
+    pave_landau->AddText("Landau");
+    sprintf(value,"par_landau_0= %2.3f +- %2.3f",par_landau_0.getVal(),par_landau_0.getError());
+    pave_landau->AddText(value);
+    sprintf(value,"par_landau_1= %2.3f +- %2.3f",par_landau_1.getVal(),par_landau_1.getError());
+    pave_landau->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
+    pave_landau->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_landau);
+    pave_landau->AddText(value);
+    pave_landau->Draw();
+    type= "SB_landau_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
+    c_landau->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+
+
+*/
+
+    
+    TH1* hh_pdf = f_gaus_exp.createHistogram("hh", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    TH1* hh_pdf_11 = f_crystal.createHistogram("hh1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    //TH1* hh_pdf_11 = f_novo.createHistogram("hh1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    TH1* hh_pdf_2 = f_gaus_exp.createHistogram("difference_1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    TH1* hh_pdf_4 = f_gaus_exp.createHistogram("sum", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    TH1* hh_pdf_5 = f_gaus_exp.createHistogram("ratio", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    hh_pdf_5->SetLineColor(kRed);
+    hh_pdf_2->Add(hh_pdf_11,-1);
+    hh_pdf_4->Add(hh_pdf_11,1);
+    hh_pdf_4->Scale(0.5);
+    hh_pdf_5->Add(hh_pdf,-1);
+    hh_pdf_5->Add(hh_pdf_2,1);
+    hh_pdf_5->Divide(hh_pdf_4);
+    hh_pdf_5->GetYaxis()->SetRangeUser(-1,1);
+    new TCanvas; hh_pdf_5->Draw();
+ 
+    
+    
+    TH1* hh_pdf_1 = f_novo.createHistogram("hh_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    TH1* hh_pdf_1_1 = f_crystal_1.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    //TH1* hh_pdf_1_1 = f_gaus_bern.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    //TH1* hh_pdf_1_1 = f_gaus_exp.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    //TH1* hh_pdf_1_1 = f_landau.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    TH1* hh_pdf_2_1 = f_novo.createHistogram("difference_1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    TH1* hh_pdf_4_1 = f_novo.createHistogram("sum_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    TH1* hh_pdf_5_1 = f_novo.createHistogram("ratio_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    hh_pdf_5_1->SetLineColor(kRed);
+    hh_pdf_2_1->Add(hh_pdf_1_1,-1);
+    hh_pdf_4_1->Add(hh_pdf_1_1,1);
+    hh_pdf_4_1->Scale(0.5);
+    hh_pdf_5_1->Add(hh_pdf_1,-1);
+    hh_pdf_5_1->Add(hh_pdf_2_1,1);
+    hh_pdf_5_1->Divide(hh_pdf_4_1);
+    hh_pdf_5_1->GetYaxis()->SetRangeUser(-1,1);
+    new TCanvas; hh_pdf_5_1->Draw();
+    
+    
+    
+    
+    
+    
+    double xPad = 0.3;
+    TCanvas *c_gaus_exp_1=new TCanvas("c_gaus_exp_1", "c_gaus_exp_1", 700*(1.-xPad), 700);
+    c_gaus_exp_1->SetFillStyle(4000);
+    c_gaus_exp_1->SetFrameFillColor(0);
+    
+    TPad *p_1=new TPad("p_1", "p_1", 0, xPad, 1, 1);
+    p_1->SetFillStyle(4000);
+    p_1->SetFrameFillColor(0);
+    p_1->SetBottomMargin(0.02);
+    
+    TPad* p_2 = new TPad("p_2", "p_2",0,0,1,xPad);
+    p_2->SetBottomMargin((1.-xPad)/xPad*0.13);
+    p_2->SetTopMargin(0.03);
+    p_2->SetFillColor(0);
+    p_2->SetBorderMode(0);
+    p_2->SetBorderSize(2);
+    p_2->SetFrameBorderMode(0);
+    p_2->SetFrameBorderMode(0);
+    
+    p_1->Draw();
+    p_2->Draw();
+    p_1->cd();
+    
+    
+    RooPlot *frame_gaus_exp_1=x_1->frame();
+    pred_1.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3004));
+    f_crystal.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_crystal, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
+    f_crystal.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
+    
+    
+    if (log=="log") frame_gaus_exp_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5.);
+    else frame_gaus_exp_1->GetYaxis()->SetRangeUser(0, h_mX_SR->GetMaximum()*1.2);
+    frame_gaus_exp_1->GetXaxis()->SetLabelOffset(0.03);
+    frame_gaus_exp_1->GetYaxis()->SetLabelFont(42);
+    frame_gaus_exp_1->GetYaxis()->SetTitleFont(42);
+    frame_gaus_exp_1->GetYaxis()->SetTitleOffset(1.25);
+    frame_gaus_exp_1->Draw("same");
+    frame_gaus_exp_1->SetTitle(("; m_{X} (GeV); Events / "+itoa(h_mX_SR->GetBinWidth(1))+" GeV").c_str());
+    if (log=="log") p_1->SetLogy();
+    
+    TPaveText *pave = new TPaveText(0.65,0.57,0.83,0.72,"NDC");
+    pave->SetBorderSize(0);
+    pave->SetTextSize(0.03);
+    pave->SetLineColor(1);
+    pave->SetLineStyle(1);
+    pave->SetLineWidth(2);
+    pave->SetFillColor(0);
+    pave->SetFillStyle(0);
+    char name[1000];
+    char name1[1000];
+    if (hist.substr(0,7)=="h_mX_SB") {
+        sprintf(name,"SB_gaus_exp #chi^{2}/n = %.2f",fitChi2_gaus_exp);
+        sprintf(name1,"p-value_gaus_exp = %.2f",pvalue_gaus_exp);
+    }
+    else sprintf(name,"SR_gaus_exp #chi^{2}/n = %.2f",fitChi2_gaus_exp);
+    pave->AddText(name);
+    pave->AddText(name1);
+    if (hist.substr(0,7)=="h_mX_SB") {
+        sprintf(name,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
+        sprintf(name1,"p-value_crystal = %.2f",pvalue_crystal);
+    }
+    else sprintf(name,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
+    pave->AddText(name);
+    pave->AddText(name1);
+    pave->Draw();
+    
+    TLatex * tPrel = new TLatex();
+    tPrel->SetNDC();
+    tPrel->SetTextColor(kBlack);
+    tPrel->SetTextSize(0.04);
+    
+    TLegend *leg = new TLegend(0.61, 0.72,0.75,0.89,NULL,"brNDC");
+    leg->SetBorderSize(0);
+    leg->SetTextSize(0.035);
+    leg->SetLineColor(1);
+    leg->SetLineStyle(1);
+    leg->SetLineWidth(2);
+    leg->SetFillColor(0);
+    leg->SetFillStyle(0);
+    h_mX_SR->SetMarkerStyle(20);
+    if (hist.substr(0,7)=="h_mX_SB"){
+        h_mX_SR->SetLineColor(kBlack);
+        h_mX_SR->SetMarkerColor(kBlack);
+        leg->AddEntry(h_mX_SR, "Data in SB", "ep");
+        
+    }
+    else leg->AddEntry(h_mX_SR, "Data in SR", "ep");
+    TH1F * temp = new TH1F("temp", "temp", 100, 0,1); temp->SetLineWidth(2);  temp->SetLineColor(kBlack);
+    leg->AddEntry(temp, "GaussExp fit", "l");
+    TH1F * temp1 = new TH1F("temp1", "temp1", 100, 0,1); temp1->SetLineWidth(2);
+    temp1->SetLineColor(kRed);
+    leg->AddEntry(temp1, "CrystalBall fit", "l");
+    leg->Draw();
+    
+    CMS_lumi( p_1, iPeriod, iPos );
+    
+    p_2->cd();
+    RooHist *hpull, *hpull1;
+    hpull = frame_gaus_exp->pullHist();
+    hpull->SetLineWidth(2);
+    hpull1 = frame_crystal->pullHist();
+    hpull1->SetMarkerColor(kRed);
+    hpull1->SetLineStyle(kDashed);
+    hpull1->SetMarkerSize(0.6);
+    hpull1->SetLineColor(kRed);
+    RooPlot* frameP = x_1->frame() ;
+    
+    frameP->SetTitle("; m_{X} (GeV); Pull");
+    frameP->addPlotable(hpull,"P");
+    frameP->addPlotable(hpull1,"P same");
+    frameP->GetYaxis()->SetTitleSize(0.07);
+    frameP->GetYaxis()->SetTitleOffset(0.5);
+    frameP->GetXaxis()->SetTitleSize(0.09);
+    frameP->GetXaxis()->SetTitleOffset(1.0);
+    frameP->GetXaxis()->SetLabelSize(0.07);
+    frameP->GetYaxis()->SetLabelSize(0.06);
+    frameP->Draw();
+    
+    
+    TLine *line=new TLine(range_lo_1, 0, range_hi_1, 0);
+    line->SetLineWidth(2);
+    line->Draw();
+    
+    string tag;
+    if (hist.substr(0,7)=="h_mX_SB") tag="SB";
+    else tag="SR";
+    c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.png").c_str());
+    c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.pdf").c_str());
+ 
+    
+    TCanvas *c_novo_1=new TCanvas("c_novo_1", "c_novo_1", 700*(1.-xPad), 700);
+    c_novo_1->SetFillStyle(4000);
+    c_novo_1->SetFrameFillColor(0);
+    
+    TPad *p_3=new TPad("p_3", "p_3", 0, xPad, 1, 1);
+    p_3->SetFillStyle(4000);
+    p_3->SetFrameFillColor(0);
+    p_3->SetBottomMargin(0.02);
+    
+    TPad* p_4 = new TPad("p_4", "p_4",0,0,1,xPad);
+    p_4->SetBottomMargin((1.-xPad)/xPad*0.13);
+    p_4->SetTopMargin(0.03);
+    p_4->SetFillColor(0);
+    p_4->SetBorderMode(0);
+    p_4->SetBorderSize(2);
+    p_4->SetFrameBorderMode(0);
+    p_4->SetFrameBorderMode(0);
+    
+    p_3->Draw();
+    p_4->Draw();
+    p_3->cd();
+    
+    
+    RooPlot *frame_novo_1=x_2->frame();
+    pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_crystal_1.plotOn(frame_novo_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3001));
+    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3004));
+    f_crystal_1.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
+    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
+    
+    
+    if (log=="log") frame_novo_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5);
+    else frame_novo_1->GetYaxis()->SetRangeUser(0, h_mX_SR->GetMaximum()*1.2);
+    frame_novo_1->GetXaxis()->SetLabelOffset(0.03);
+    frame_novo_1->GetYaxis()->SetLabelFont(42);
+    frame_novo_1->GetYaxis()->SetTitleFont(42);
+    frame_novo_1->GetYaxis()->SetTitleOffset(1.25);
+    frame_novo_1->Draw("same");
+    frame_novo_1->SetTitle(("; m_{X} (GeV); Events / "+itoa(h_mX_SR->GetBinWidth(1))+" GeV").c_str());
+    if (log=="log") p_3->SetLogy();
+    
+    TPaveText *pave_1 = new TPaveText(0.65,0.57,0.85,0.72,"NDC");
+    pave_1->SetBorderSize(0);
+    pave_1->SetTextSize(0.03);
+    pave_1->SetLineColor(1);
+    pave_1->SetLineStyle(1);
+    pave_1->SetLineWidth(2);
+    pave_1->SetFillColor(0);
+    pave_1->SetFillStyle(0);
+    char name_1[1000];
+    char name_11[1000];
+    if (hist.substr(0,7)=="h_mX_SB") {
+        sprintf(name_1,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
+        sprintf(name_11,"p-value_crystal = %.2f",pvalue_crystal_1);
+    }
+    else sprintf(name_1,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
+    pave_1->AddText(name_1);
+    pave_1->AddText(name_11);
+    if (hist.substr(0,7)=="h_mX_SB") {
+        sprintf(name_1,"SB_novo #chi^{2}/n = %.2f",fitChi2_Novo);
+        sprintf(name_11,"p-value_novo = %.2f",pvalue_novo);
+    }
+    else sprintf(name_1,"SR_novo #chi^{2}/n = %.2f",fitChi2_Novo);
+    pave_1->AddText(name_1);
+    pave_1->AddText(name_11);
+    pave_1->Draw();
+    
+    TLatex * tPrel_1 = new TLatex();
+    tPrel_1->SetNDC();
+    tPrel_1->SetTextColor(kBlack);
+    tPrel_1->SetTextSize(0.04);
+    
+    TLegend *leg_1 = new TLegend(0.61, 0.72,0.75,0.89,NULL,"brNDC");
+    leg_1->SetBorderSize(0);
+    leg_1->SetTextSize(0.035);
+    leg_1->SetLineColor(1);
+    leg_1->SetLineStyle(1);
+    leg_1->SetLineWidth(2);
+    leg_1->SetFillColor(0);
+    leg_1->SetFillStyle(0);
+    h_mX_SR->SetMarkerStyle(20);
+    if (hist.substr(0,7)=="h_mX_SB"){
+        h_mX_SR->SetLineColor(kBlack);
+        h_mX_SR->SetMarkerColor(kBlack);
+        leg_1->AddEntry(h_mX_SR, "Data in SB", "ep");
+        
+    }
+    else leg_1->AddEntry(h_mX_SR, "Data in SR", "ep");
+    TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kRed);
+    TH1F* temp_11 = new TH1F("temp_11", "temp_11", 100, 0,1); temp_11->SetLineWidth(2);
+    temp_11->SetLineColor(kBlack);
+    leg_1->AddEntry(temp_11, "CrystalBall fit", "l");
+    leg_1->AddEntry(temp_1, "Novorsibisk fit", "l");
+    leg_1->Draw();
+    
+    CMS_lumi( p_3, iPeriod, iPos );
+    
+    p_4->cd();
+    RooHist *hpull_1, *hpull_11;
+    hpull_1 = frame_novo->pullHist();
+    hpull_1->SetLineWidth(2);
+    hpull_11 = frame_crystal_1->pullHist();
+    hpull_11->SetLineStyle(kDashed);
+    hpull_11->SetLineColor(kRed);
+    hpull_11->SetMarkerSize(0.6);
+    hpull_11->SetMarkerColor(kRed);
+    RooPlot* frameP_1 = x_2->frame() ;
+    
+    frameP_1->SetTitle("; m_{X} (GeV); Pull");
+    frameP_1->addPlotable(hpull_1,"P");
+    frameP_1->addPlotable(hpull_11,"P same");
+    frameP_1->GetYaxis()->SetTitleSize(0.07);
+    frameP_1->GetYaxis()->SetTitleOffset(0.5);
+    frameP_1->GetXaxis()->SetTitleSize(0.09);
+    frameP_1->GetXaxis()->SetTitleOffset(1.0);
+    frameP_1->GetXaxis()->SetLabelSize(0.07);
+    frameP_1->GetYaxis()->SetLabelSize(0.06);
+    frameP_1->Draw();
+    
+    
+    TLine *line_1=new TLine(range_lo_2, 0, range_hi_2, 0);
+    line_1->SetLineWidth(2);
+    line_1->Draw();
+    
+    c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.png").c_str());
+    c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.pdf").c_str());
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    TH1F *h_mX_SR_fakeData=(TH1F*)h_mX_SR->Clone("h_mX_SR_fakeData");
+    h_mX_SR_fakeData->Scale(nEventsSR/h_mX_SR_fakeData->GetSumOfWeights());
+    
+    RooDataHist data_obs_crystal(Form("data_obs_crystal_%d_%d",range_lo_1, range_hi_1), "Data", RooArgList(*x_1), h_mX_SR_fakeData);
+    RooDataHist data_obs_gaus_exp(Form("data_obs_gaus_exp_%d_%d",range_lo_1, range_hi_1), "Data", RooArgList(*x_1), h_mX_SR_fakeData);
+    RooDataHist data_obs_novo(Form("data_obs_novo_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
+    RooDataHist data_obs_crystal_1(Form("data_obs_crystal_1_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
+    //RooDataHist data_obs_gaus_bern(Form("data_obs_gaus_bern_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
+    //RooDataHist data_obs_landau(Form("data_obs_landau_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
+    
+    RooRealVar f_crystal_norm("f_crystal_norm","f_crystal_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))); 
+    RooWorkspace *w_background_crystal=new RooWorkspace("HbbHbb");
+    w_background_crystal->import(data_obs_crystal);
+    w_background_crystal->import(f_crystal);
+    //w_background_crystal->import(f_crystal_norm);
+    w_background_crystal->SaveAs((dest_dir+"/"+Form("w_background_crystal_%d_%d.root",range_lo_1,range_hi_1)).c_str());
+    
+    RooRealVar f_gaus_exp_norm("f_gaus_exp_norm","f_gaus_exp_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))); 
+    RooWorkspace *w_background_gaus_exp=new RooWorkspace("HbbHbb");
+    w_background_gaus_exp->import(data_obs_gaus_exp);
+    w_background_gaus_exp->import(f_gaus_exp);
+    //w_background_gaus_exp->import(f_gaus_exp_norm);
+    w_background_gaus_exp->SaveAs((dest_dir+"/"+Form("w_background_gaus_exp_%d_%d.root",range_lo_1,range_hi_1)).c_str());
+    
+    
+    RooRealVar f_novo_norm("f_novo_norm","f_novo_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))); 
+    RooWorkspace *w_background_novo=new RooWorkspace("HbbHbb");
+    w_background_novo->import(data_obs_novo);
+    w_background_novo->import(f_novo);
+    //w_background_novo->import(f_novo_norm);
+    w_background_novo->SaveAs((dest_dir+"/"+Form("w_background_novo_%d_%d.root",range_lo_2,range_hi_2)).c_str());
+
+    RooRealVar f_crystal_1_norm("f_crystal_1_norm","f_crystal_1_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))); 
+    RooWorkspace *w_background_crystal_1=new RooWorkspace("HbbHbb");
+    w_background_crystal_1->import(data_obs_crystal_1);
+    w_background_crystal_1->import(f_crystal_1);
+    //w_background_crystal_1->import(f_crystal_1_norm);
+    w_background_crystal_1->SaveAs((dest_dir+"/"+Form("w_background_crystal_1_%d_%d.root",range_lo_2,range_hi_2)).c_str());
+
+/*
+    RooWorkspace *w_background_gaus_bern=new RooWorkspace("HbbHbb");
+    w_background_gaus_bern->import(data_obs_gaus_bern);
+    w_background_gaus_bern->import(f_gaus_bern);
+    w_background_gaus_bern->SaveAs((dest_dir+"/"+Form("w_background_gaus_bern_%d_%d.root",range_lo_2,range_hi_2)).c_str());
+
+
+    RooWorkspace *w_background_landau=new RooWorkspace("HbbHbb");
+    w_background_landau->import(data_obs_landau);
+    w_background_landau->import(f_landau);
+    w_background_landau->SaveAs((dest_dir+"/"+Form("w_background_landau_%d_%d.root",range_lo_2,range_hi_2)).c_str());
+*/
+    
+    
+    
+    std::cout<<" === RooFit data fit result to be entered in datacard === "<<std::endl;
+    
+    std::cout<<Form(" Background number of crystal_%d_%d = ", range_lo_1, range_hi_1)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))<<std::endl;
+    std::cout<<Form(" Background number of gaus_exp_%d_%d = ", range_lo_1, range_hi_1)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))<<std::endl;
+    std::cout<<Form(" Background number of novo_%d_%d = ", range_lo_2, range_hi_2)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))<<std::endl;
+    std::cout<<Form(" Background number of crystal_1_%d_%d = ", range_lo_2, range_hi_2)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))<<std::endl;
+    
+    
+    std::cout<<"par_crystal_0   param   "<<par_crystal_0.getVal()<<" "<<par_crystal_0.getError()<<std::endl;
+    std::cout<<"par_crystal_1   param   "<<par_crystal_1.getVal()<<" "<<par_crystal_1.getError()<<std::endl;
+    std::cout<<"par_crystal_2   param   "<<par_crystal_2.getVal()<<" "<<par_crystal_2.getError()<<std::endl;
+    std::cout<<"par_crystal_3   param   "<<par_crystal_3.getVal()<<" "<<par_crystal_3.getError()<<std::endl;
+    
+    
+    
+    std::cout<<"par_crystal_1_0   param   "<<par_crystal_1_0.getVal()<<" "<<par_crystal_1_0.getError()<<std::endl;
+    std::cout<<"par_crystal_1_1   param   "<<par_crystal_1_1.getVal()<<" "<<par_crystal_1_1.getError()<<std::endl;
+    std::cout<<"par_crystal_1_2   param   "<<par_crystal_1_2.getVal()<<" "<<par_crystal_1_2.getError()<<std::endl;
+    std::cout<<"par_crystal_1_3   param   "<<par_crystal_1_3.getVal()<<" "<<par_crystal_1_3.getError()<<std::endl;
+    
+    std::cout<<"par_gaus_exp_0   param   "<<par_gaus_exp_0.getVal()<<" "<<par_gaus_exp_0.getError()<<std::endl;
+    std::cout<<"par_gaus_exp_1   param   "<<par_gaus_exp_1.getVal()<<" "<<par_gaus_exp_1.getError()<<std::endl;
+    std::cout<<"par_gaus_exp_2   param   "<<par_gaus_exp_2.getVal()<<" "<<par_gaus_exp_2.getError()<<std::endl;
+    
+    std::cout<<"par_novo_0   param   "<<par_novo_0.getVal()<<" "<<par_novo_0.getError()<<std::endl;
+    std::cout<<"par_novo_1   param   "<<par_novo_1.getVal()<<" "<<par_novo_1.getError()<<std::endl;
+    std::cout<<"par_novo_2   param   "<<par_novo_2.getVal()<<" "<<par_novo_2.getError()<<std::endl;
+
+}
+
diff --git a/BackgroundPrediction_Kinematic_Split_blinded.c b/BackgroundPrediction_Kinematic_Split_blinded.c
new file mode 100644
index 0000000..c08de85
--- /dev/null
+++ b/BackgroundPrediction_Kinematic_Split_blinded.c
@@ -0,0 +1,974 @@
+#include <TH1F.h>
+#include <TROOT.h>
+#include <TFile.h>
+#include <TLegend.h>
+#include <TCanvas.h>
+#include <TProfile.h>
+#include <iostream>
+#include <TStyle.h>
+#include <TPaveText.h>
+#include <THStack.h>
+#include <TF1.h>
+#include <TSystem.h>
+#include <TGraphErrors.h>
+#include <TF1.h>
+#include <TLine.h>
+#include <RooPolynomial.h>
+
+int iPeriod = 4;
+int iPos = 11;
+
+#include "CMS_lumi.h"
+#include <iostream>
+
+void
+CMS_lumi( TPad* pad, int iPeriod, int iPosX )
+{
+    bool outOfFrame    = false;
+    if( iPosX/10==0 )
+    {
+        outOfFrame = true;
+    }
+    int alignY_=3;
+    int alignX_=2;
+    if( iPosX/10==0 ) alignX_=1;
+    if( iPosX==0    ) alignX_=1;
+    if( iPosX==0    ) alignY_=1;
+    if( iPosX/10==1 ) alignX_=1;
+    if( iPosX/10==2 ) alignX_=2;
+    if( iPosX/10==3 ) alignX_=3;
+    if( iPosX == 0  ) relPosX = 0.14;
+    int align_ = 10*alignX_ + alignY_;
+    
+    float H = pad->GetWh();
+    float W = pad->GetWw();
+    float l = pad->GetLeftMargin();
+    float t = pad->GetTopMargin();
+    float r = pad->GetRightMargin();
+    float b = pad->GetBottomMargin();
+    
+    pad->cd();
+    
+    TString lumiText;
+    if( iPeriod==1 )
+    {
+        lumiText += lumi_7TeV;
+        lumiText += " (7 TeV)";
+    }
+    else if ( iPeriod==2 )
+    {
+        lumiText += lumi_8TeV;
+        lumiText += " (8 TeV)";
+    }
+    else if( iPeriod==3 )
+    {
+        lumiText = lumi_8TeV;
+        lumiText += " (8 TeV)";
+        lumiText += " + ";
+        lumiText += lumi_7TeV;
+        lumiText += " (7 TeV)";
+    }
+    else if ( iPeriod==4 )
+    {
+        lumiText += lumi_13TeV;
+        lumiText += " (13 TeV)";
+    }
+    else if ( iPeriod==7 )
+    {
+        if( outOfFrame ) lumiText += "#scale[0.85]{";
+        lumiText += lumi_13TeV;
+        lumiText += " (13 TeV)";
+        lumiText += " + ";
+        lumiText += lumi_8TeV;
+        lumiText += " (8 TeV)";
+        lumiText += " + ";
+        lumiText += lumi_7TeV;
+        lumiText += " (7 TeV)";
+        if( outOfFrame) lumiText += "}";
+    }
+    else if ( iPeriod==12 )
+    {
+        lumiText += "8 TeV";
+    }
+    else if ( iPeriod==0 )
+    {
+        lumiText += lumi_sqrtS;
+    }
+    
+    std::cout << lumiText << endl;
+    
+    TLatex latex;
+    latex.SetNDC();
+    latex.SetTextAngle(0);
+    latex.SetTextColor(kBlack);
+    
+    float extraTextSize = extraOverCmsTextSize*cmsTextSize;
+    
+    latex.SetTextFont(42);
+    latex.SetTextAlign(31);
+    latex.SetTextSize(lumiTextSize*t);
+    latex.DrawLatex(1-r,1-t+lumiTextOffset*t,lumiText);
+    
+    if( outOfFrame )
+    {
+        latex.SetTextFont(cmsTextFont);
+        latex.SetTextAlign(11);
+        latex.SetTextSize(cmsTextSize*t);
+        latex.DrawLatex(l,1-t+lumiTextOffset*t,cmsText);
+    }
+    
+    pad->cd();
+    
+    float posX_=0;
+    if( iPosX%10<=1 )
+    {
+        posX_ =   l + relPosX*(1-l-r);
+    }
+    else if( iPosX%10==2 )
+    {
+        posX_ =  l + 0.5*(1-l-r);
+    }
+    else if( iPosX%10==3 )
+    {
+        posX_ =  1-r - relPosX*(1-l-r);
+    }
+    float posY_ = 1-t - relPosY*(1-t-b);
+    if( !outOfFrame )
+    {
+        if( drawLogo )
+        {
+            posX_ =   l + 0.045*(1-l-r)*W/H;
+            posY_ = 1-t - 0.045*(1-t-b);
+            float xl_0 = posX_;
+            float yl_0 = posY_ - 0.15;
+            float xl_1 = posX_ + 0.15*H/W;
+            float yl_1 = posY_;
+            TASImage* CMS_logo = new TASImage("CMS-BW-label.png");
+            TPad* pad_logo = new TPad("logo","logo", xl_0, yl_0, xl_1, yl_1 );
+            pad_logo->Draw();
+            pad_logo->cd();
+            CMS_logo->Draw("X");
+            pad_logo->Modified();
+            pad->cd();
+        }
+        else
+        {
+            latex.SetTextFont(cmsTextFont);
+            latex.SetTextSize(cmsTextSize*t);
+            latex.SetTextAlign(align_);
+            latex.DrawLatex(posX_, posY_, cmsText);
+            if( writeExtraText )
+            {
+                latex.SetTextFont(extraTextFont);
+                latex.SetTextAlign(align_);
+                latex.SetTextSize(extraTextSize*t);
+                latex.DrawLatex(posX_, posY_- relExtraDY*cmsTextSize*t, extraText);
+            }
+        }
+    }
+    else if( writeExtraText )
+    {
+        if( iPosX==0)
+        {
+            posX_ =   l +  relPosX*(1-l-r);
+            posY_ =   1-t+lumiTextOffset*t;
+        }
+        latex.SetTextFont(extraTextFont);
+        latex.SetTextSize(extraTextSize*t);
+        latex.SetTextAlign(align_);
+        latex.DrawLatex(posX_, posY_, extraText);
+    }
+    return;
+}
+
+
+std::string itoa(int i)
+{
+    char res[10];
+    sprintf(res, "%d", i);
+    std::string ret(res);
+    return ret;
+}
+
+void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double rebin,
+                                                 int range_lo_2, int range_hi_2,
+                                                 std::string hist="h_mX_SB_kinFit",
+                                                 std::string log="lin",
+                                                 std::string filename="Histograms_LMR_BTagTotal.root",
+                                                 std::string dest_dir="")
+{
+    gROOT->SetStyle("Plain");
+    gStyle->SetPadGridX(0);
+    gStyle->SetPadGridY(0);
+    gStyle->SetOptStat(0000);
+    writeExtraText = true;
+    extraText  = "Preliminary";
+    lumi_13TeV  = "35.9 fb^{-1}";
+
+
+
+    TFile *f_AntiTag=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2_AntiTag/Histograms_LMR_AntiTag_BTagTotal.root");
+    TH1F *h_SR_AntiTag=(TH1F*)f_AntiTag->Get("h_mX_SR_kinFit");
+    h_SR_AntiTag->Rebin(rebin);
+
+    TH1F *h_SB_AntiTag=(TH1F*)f_AntiTag->Get("h_mX_SB_kinFit");
+    h_SB_AntiTag->Rebin(rebin);
+
+    TFile *f_Tag=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_BTagTotal.root");
+    TH1F *h_SB=(TH1F*)f_Tag->Get("h_mX_SB_kinFit");
+    h_SB->Rebin(rebin);
+
+    TH1F *h_SR=(TH1F*)f_Tag->Get("h_mX_SR_kinFit");
+    double nEventsSR= h_SR->Integral();
+
+    h_SR_AntiTag->Scale(1./h_SR_AntiTag->Integral());
+    h_SB_AntiTag->Scale(1./h_SB_AntiTag->Integral());
+    h_SB->Scale(1./h_SB->Integral());
+
+    h_SR_AntiTag->Divide(h_SB_AntiTag);
+    h_SR_AntiTag->Multiply(h_SB);
+//
+    h_SR_AntiTag->Scale(nEventsSR);
+
+    TFile *f_data=new TFile((dest_dir+"/"+filename).c_str());
+    TH1F *h_mX_SR;
+    if (hist.substr(0,7)=="h_mX_SB") {
+	h_mX_SR=(TH1F*)h_SR_AntiTag->Clone("h_mX_SR_kinFit");
+    }
+    else{
+	h_mX_SR=(TH1F*)f_data->Get(hist.c_str());
+	h_mX_SR->Rebin(rebin);
+    }
+    new TCanvas; h_mX_SR->Draw();
+
+
+    char value[1000];
+    
+    RooRealVar *x_1 = new RooRealVar("x", "m_{X} (GeV)", range_lo_1, range_hi_1);
+    RooRealVar *x_2 = new RooRealVar("x", "m_{X} (GeV)", range_lo_2, range_hi_2);
+    RooDataHist pred_1("pred_1", "Data", RooArgList(*x_1), h_mX_SR);
+    RooDataHist pred_2("pred_2", "Data", RooArgList(*x_2), h_mX_SR);
+    
+    string type;
+
+    RooRealVar par_crystal_0("par_crystal_0", "par_crystal_0", 0.01, 9.1);
+    RooRealVar par_crystal_1("par_crystal_1", "par_crystal_1", 0.01, 9.1);
+    RooRealVar par_crystal_2("par_crystal_2", "par_crystal_2", 240, 280);
+    RooRealVar par_crystal_3("par_crystal_3", "par_crystal_3", 3, 40);
+    RevCrystalBall f_crystal("f_crystal","f_crystal", *x_1, par_crystal_0, par_crystal_1, par_crystal_2, par_crystal_3);
+    RooFitResult *r_crystal=f_crystal.fitTo(pred_1, RooFit::Range(range_lo_1, range_hi_1), RooFit::Save());
+    
+    RooPlot *frame_crystal=x_1->frame();
+    pred_1.plotOn(frame_crystal, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_crystal.plotOn(frame_crystal, RooFit::VisualizeError(*r_crystal, 1.), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_crystal.plotOn(frame_crystal, RooFit::LineColor(kBlue+1));
+    double fitChi2_crystal=frame_crystal->chiSquare();
+    RooAbsReal* chi2_crystal = f_crystal.createChi2(pred_1);
+    double pvalue_crystal=TMath::Prob(chi2_crystal->getVal(),int((range_hi_1-range_lo_1)/rebin)-3);
+    
+    TCanvas *c_crystal=new TCanvas("c_crystal", "c_crystal", 700, 700);
+    frame_crystal->Draw();
+    
+    TPaveText *pave_crystal = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_crystal->SetBorderSize(0);
+    pave_crystal->SetTextSize(0.03);
+    pave_crystal->SetLineColor(1);
+    pave_crystal->SetLineStyle(1);
+    pave_crystal->SetLineWidth(2);
+    pave_crystal->SetFillColor(0);
+    pave_crystal->SetFillStyle(0);
+    pave_crystal->AddText("RevCrystal");
+    sprintf(value,"par_crystal_0 = %2.3f +- %2.3f",par_crystal_0.getVal(),par_crystal_0.getError());
+    pave_crystal->AddText(value);
+    sprintf(value,"par_crystal_1 = %2.3f +- %2.3f",par_crystal_1.getVal(),par_crystal_1.getError());
+    pave_crystal->AddText(value);
+    sprintf(value,"par_crystal_2 = %2.3f +- %2.3f",par_crystal_2.getVal(),par_crystal_2.getError());
+    pave_crystal->AddText(value);
+    sprintf(value,"par_crystal_3 = %2.3f +- %2.3f",par_crystal_3.getVal(),par_crystal_3.getError());
+    pave_crystal->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_1,range_hi_1);
+    pave_crystal->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_crystal);
+    pave_crystal->AddText(value);
+    pave_crystal->Draw();
+    type= "SB_crystal_"+to_string(range_lo_1)+"_"+to_string(range_hi_1);
+    c_crystal->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+    
+    RooRealVar par_gaus_exp_0("par_gaus_exp_0", "par_gaus_exp_0", 250, 330);
+    RooRealVar par_gaus_exp_1("par_gaus_exp_1", "par_gaus_exp_1", 0.1, 15.7);
+    RooRealVar par_gaus_exp_2("par_gaus_exp_2", "par_gaus_exp_2", 0.01, 7.5);
+    GaussExp f_gaus_exp("f_gaus_exp", "Background Prediction PDF", *x_1, par_gaus_exp_0, par_gaus_exp_1, par_gaus_exp_2);
+    RooFitResult *r_gaus_exp=f_gaus_exp.fitTo(pred_1, RooFit::Range(range_lo_1, range_hi_1), RooFit::Save());
+    
+    RooPlot *frame_gaus_exp=x_1->frame();
+    pred_1.plotOn(frame_gaus_exp, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_gaus_exp.plotOn(frame_gaus_exp, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_gaus_exp.plotOn(frame_gaus_exp, RooFit::LineColor(kBlue+1));
+    double fitChi2_gaus_exp=frame_gaus_exp->chiSquare();
+    RooAbsReal* chi2_gaus_exp = f_gaus_exp.createChi2(pred_1);
+    double pvalue_gaus_exp=TMath::Prob(chi2_gaus_exp->getVal(),int((range_hi_1-range_lo_1)/rebin)-3);
+    TCanvas *c_gaus_exp=new TCanvas("c_gaus_exp", "c_gaus_exp", 700, 700);
+    frame_gaus_exp->Draw();
+    
+    TPaveText *pave_gaus_exp = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_gaus_exp->SetBorderSize(0);
+    pave_gaus_exp->SetTextSize(0.03);
+    pave_gaus_exp->SetLineColor(1);
+    pave_gaus_exp->SetLineStyle(1);
+    pave_gaus_exp->SetLineWidth(2);
+    pave_gaus_exp->SetFillColor(0);
+    pave_gaus_exp->SetFillStyle(0);
+    pave_gaus_exp->AddText("Gaus_Exp");
+    sprintf(value,"par_gaus_exp_0= %2.3f +- %2.3f",par_gaus_exp_0.getVal(),par_gaus_exp_0.getError());
+    pave_gaus_exp->AddText(value);
+    sprintf(value,"par_gaus_exp_1= %2.3f +- %2.3f",par_gaus_exp_1.getVal(),par_gaus_exp_1.getError());
+    pave_gaus_exp->AddText(value);
+    sprintf(value,"par_gaus_exp_2= %2.3f +- %2.3f",par_gaus_exp_2.getVal(),par_gaus_exp_2.getError());
+    pave_gaus_exp->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_gaus_exp);
+    pave_gaus_exp->AddText(value);
+    pave_gaus_exp->Draw();
+    type= "SB_gaus_exp_"+to_string(range_lo_1)+"_"+to_string(range_hi_1);
+    c_gaus_exp->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+    
+    
+    
+    RooRealVar par_novo_0("par_novo_0", "par_novo_0", 150, 160);
+    RooRealVar par_novo_1("par_novo_1", "par_novo_1", 0.01, 150);
+    RooRealVar par_novo_2("par_novo_2", "par_novo_2", -10, 1);
+    RooNovosibirsk f_novo("f_novo", "Background Prediction PDF", *x_2, par_novo_0, par_novo_1, par_novo_2);
+    RooFitResult *r_novo=f_novo.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
+    
+    RooPlot *frame_novo=x_2->frame();
+    pred_2.plotOn(frame_novo, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_novo.plotOn(frame_novo, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_novo.plotOn(frame_novo, RooFit::LineColor(kBlue+1));
+    double fitChi2_Novo=frame_novo->chiSquare();
+    RooAbsReal* chi2_novo = f_novo.createChi2(pred_2);
+    double pvalue_novo=TMath::Prob(chi2_novo->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
+    
+    TCanvas *c_novo=new TCanvas("c_novo", "c_novo", 700, 700);
+    frame_novo->Draw();
+    
+    TPaveText *pave_novo = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_novo->SetBorderSize(0);
+    pave_novo->SetTextSize(0.03);
+    pave_novo->SetLineColor(1);
+    pave_novo->SetLineStyle(1);
+    pave_novo->SetLineWidth(2);
+    pave_novo->SetFillColor(0);
+    pave_novo->SetFillStyle(0);
+    pave_novo->AddText("Novo");
+    sprintf(value,"par_novo_0= %2.3f +- %2.3f",par_novo_0.getVal(),par_novo_0.getError());
+    pave_novo->AddText(value);
+    sprintf(value,"par_novo_1= %2.3f +- %2.3f",par_novo_1.getVal(),par_novo_1.getError());
+    pave_novo->AddText(value);
+    sprintf(value,"par_novo_2= %2.3f +- %2.3f",par_novo_2.getVal(),par_novo_2.getError());
+    pave_novo->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
+    pave_novo->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_Novo);
+    pave_novo->AddText(value);
+    pave_novo->Draw();
+    type= "SB_novo_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
+    c_novo->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+    
+    
+    RooRealVar par_crystal_1_0("par_crystal_1_0", "par_crystal_1_0", 0.01, 5.1);
+    RooRealVar par_crystal_1_1("par_crystal_1_1", "par_crystal_1_1", 0.01, 5.1);
+    RooRealVar par_crystal_1_2("par_crystal_1_2", "par_crystal_1_2", 240, 280);
+    RooRealVar par_crystal_1_3("par_crystal_1_3", "par_crystal_1_3", 3, 30);
+    RevCrystalBall f_crystal_1("f_crystal_1","f_crystal_1", *x_2, par_crystal_1_0, par_crystal_1_1, par_crystal_1_2, par_crystal_1_3);
+    RooFitResult *r_crystal_1=f_crystal_1.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
+    
+    RooPlot *frame_crystal_1=x_2->frame();
+    pred_2.plotOn(frame_crystal_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_crystal_1.plotOn(frame_crystal_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_crystal_1.plotOn(frame_crystal_1, RooFit::LineColor(kBlue+1));
+    double fitChi2_crystal_1=frame_crystal_1->chiSquare();
+    RooAbsReal* chi2_crystal_1 = f_crystal_1.createChi2(pred_2);
+    double pvalue_crystal_1=TMath::Prob(chi2_crystal_1->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
+    
+    TCanvas *c_crystal_1=new TCanvas("c_crystal_1", "c_crystal_1", 700, 700);
+    frame_crystal_1->Draw();
+    
+    TPaveText *pave_crystal_1 = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_crystal_1->SetBorderSize(0);
+    pave_crystal_1->SetTextSize(0.03);
+    pave_crystal_1->SetLineColor(1);
+    pave_crystal_1->SetLineStyle(1);
+    pave_crystal_1->SetLineWidth(2);
+    pave_crystal_1->SetFillColor(0);
+    pave_crystal_1->SetFillStyle(0);
+    pave_crystal_1->AddText("Revcrystal_1");
+    sprintf(value,"par_crystal_1_0= %2.3f +- %2.3f",par_crystal_1_0.getVal(),par_crystal_1_0.getError());
+    pave_crystal_1->AddText(value);
+    sprintf(value,"par_crystal_1_1= %2.3f +- %2.3f",par_crystal_1_1.getVal(),par_crystal_1_1.getError());
+    pave_crystal_1->AddText(value);
+    sprintf(value,"par_crystal_1_2= %2.3f +- %2.3f",par_crystal_1_2.getVal(),par_crystal_1_2.getError());
+    pave_crystal_1->AddText(value);
+    sprintf(value,"par_crystal_1_3= %2.3f +- %2.3f",par_crystal_1_3.getVal(),par_crystal_1_3.getError());
+    pave_crystal_1->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
+    pave_crystal_1->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_crystal_1);
+    pave_crystal_1->AddText(value);
+    pave_crystal_1->Draw();
+    type= "SB_crystal_1_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
+    c_crystal_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+    
+
+/*
+    RooRealVar par_gaus_bern_0("par_gaus_bern_0", "par_gaus_bern_0", 0.);
+    par_gaus_bern_0.setConstant(1);
+    RooRealVar par_gaus_bern_1("par_gaus_bern_1", "par_gaus_bern_1", 10, 1. , 100.);
+    RooRealVar par_gaus_bern_2("par_gaus_bern_2", "par_gaus_bern_2", 260, 160., 600. );
+    RooRealVar *par_gaus_bern_3, *par_gaus_bern_4, *par_gaus_bern_5, *par_gaus_bern_6, *par_gaus_bern_7, *bpar_gaus_bern_8;
+    par_gaus_bern_3=new RooRealVar("par_gaus_bern_3", "par_gaus_bern_3", 5.);
+    par_gaus_bern_3->setConstant(1);
+    par_gaus_bern_4=new RooRealVar("par_gaus_bern_4", "par_gaus_bern_4", 3, -10., 10.);
+    par_gaus_bern_5=new RooRealVar("par_gaus_bern_5", "par_gaus_bern_5", 1, -10., 10.);
+    par_gaus_bern_6=new RooRealVar("par_gaus_bern_6", "par_gaus_bern_6", -10., 10.);
+    par_gaus_bern_7=new RooRealVar("par_gaus_bern_7", "par_gaus_bern_7", -10., 10.);
+    par_gaus_bern_8=new RooRealVar("par_gaus_bern_8", "par_gaus_bern_8", -10., 5.);
+
+
+    RooGaussStepBernstein f_gaus_bern("f_gaus_bern","f_gaus_bern",*x_2, par_gaus_bern_0, par_gaus_bern_1, par_gaus_bern_2, RooArgList(*par_gaus_bern_3, *par_gaus_bern_4, *par_gaus_bern_5)); //, *par_gaus_bern_6));
+    RooFitResult *r_gaus_bern=f_gaus_bern.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
+
+    RooPlot *frame_gaus_bern=x_2->frame();
+    pred_2.plotOn(frame_gaus_bern, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_gaus_bern.plotOn(frame_gaus_bern, RooFit::VisualizeError(*r_gaus_bern, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_gaus_bern.plotOn(frame_gaus_bern, RooFit::LineColor(kBlue+1));
+    double fitChi2_gaus_bern=frame_gaus_bern->chiSquare();
+    RooAbsReal* chi2_gaus_bern = f_gaus_bern.createChi2(pred_2);
+    double pvalue_gaus_bern=TMath::Prob(chi2_gaus_bern->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
+
+    TCanvas *c_gaus_bern=new TCanvas("c_gaus_bern", "c_gaus_bern", 700, 700);
+    frame_gaus_bern->Draw();
+
+    TPaveText *pave_gaus_bern = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_gaus_bern->SetBorderSize(0);
+    pave_gaus_bern->SetTextSize(0.03);
+    pave_gaus_bern->SetLineColor(1);
+    pave_gaus_bern->SetLineStyle(1);
+    pave_gaus_bern->SetLineWidth(2);
+    pave_gaus_bern->SetFillColor(0);
+    pave_gaus_bern->SetFillStyle(0);
+    pave_gaus_bern->AddText("Gaus_bern");
+    sprintf(value,"par_gaus_bern_0= %2.3f +- %2.3f",par_gaus_bern_0.getVal(),par_gaus_bern_0.getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_1= %2.3f +- %2.3f",par_gaus_bern_1.getVal(),par_gaus_bern_1.getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_2= %2.3f +- %2.3f",par_gaus_bern_2.getVal(),par_gaus_bern_2.getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_3= %2.3f +- %2.3f",par_gaus_bern_3->getVal(),par_gaus_bern_3->getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_4= %2.3f +- %2.3f",par_gaus_bern_4->getVal(),par_gaus_bern_4->getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_5= %2.3f +- %2.3f",par_gaus_bern_5->getVal(),par_gaus_bern_5->getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"par_gaus_bern_6= %2.3f +- %2.3f",par_gaus_bern_6->getVal(),par_gaus_bern_6->getError());
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
+    pave_gaus_bern->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_gaus_bern);
+    pave_gaus_bern->AddText(value);
+    pave_gaus_bern->Draw();
+    type= "SB_gaus_bern_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
+    c_gaus_bern->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+ 
+    
+
+
+    RooRealVar par_landau_0("par_landau_0","par_landau_0",2.54e+02,2.5e+02,2.8e+02) ;
+    RooRealVar par_landau_1("par_landau_1","par_landau_1",2.5e+01,18,30) ;
+    RooLandau f_landau("f_landau","f_landau",*x_2, par_landau_0, par_landau_1);
+    RooFitResult *r_landau=f_landau.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
+
+    RooPlot *frame_landau=x_2->frame();
+    pred_2.plotOn(frame_landau, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_landau.plotOn(frame_landau, RooFit::VisualizeError(*r_landau, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_landau.plotOn(frame_landau, RooFit::LineColor(kBlue+1));
+    double fitChi2_landau=frame_landau->chiSquare();
+    RooAbsReal* chi2_landau = f_landau.createChi2(pred_2);
+    double pvalue_landau=TMath::Prob(chi2_landau->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
+
+    TCanvas *c_landau=new TCanvas("c_landau", "c_landau", 700, 700);
+    frame_landau->Draw();
+
+    TPaveText *pave_landau = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_landau->SetBorderSize(0);
+    pave_landau->SetTextSize(0.03);
+    pave_landau->SetLineColor(1);
+    pave_landau->SetLineStyle(1);
+    pave_landau->SetLineWidth(2);
+    pave_landau->SetFillColor(0);
+    pave_landau->SetFillStyle(0);
+    pave_landau->AddText("Landau");
+    sprintf(value,"par_landau_0= %2.3f +- %2.3f",par_landau_0.getVal(),par_landau_0.getError());
+    pave_landau->AddText(value);
+    sprintf(value,"par_landau_1= %2.3f +- %2.3f",par_landau_1.getVal(),par_landau_1.getError());
+    pave_landau->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
+    pave_landau->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_landau);
+    pave_landau->AddText(value);
+    pave_landau->Draw();
+    type= "SB_landau_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
+    c_landau->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+
+
+    RooRealVar par_logistic_0("par_logistic_0","par_logistic_0", 251);
+    RooRealVar par_logistic_1("par_logistic_1","par_logistic_1", 502);
+    RooRealVar par_logistic_2("par_logistic_2","par_logistic_2", 241., 281.);
+    RooRealVar par_logistic_3("par_logistic_3","par_logistic_3", 0.01, 1.);
+    RooRealVar par_logistic_4("par_logistic_4","par_logistic_4", -.1, 0.9);
+    par_logistic_4.setConstant(1);
+    RooRealVar par_logistic_5("par_logistic_5","par_logistic_5", -.1, 0.9);
+    RooRealVar par_logistic_6("par_logistic_6","par_logistic_6", -.1, 0.9);
+    RooRealVar par_logistic_7("par_logistic_7","par_logistic_7", -.1, 0.9);
+    LogisticXChebychev3 f_logistic("f_logistic","f_logistic",*x_2, par_logistic_0, par_logistic_1, par_logistic_2, par_logistic_3, par_logistic_4, par_logistic_5, par_logistic_6, par_logistic_7);
+    RooFitResult *r_logistic=f_logistic.fitTo(pred_2, RooFit::Range(range_lo_2, range_hi_2), RooFit::Save());
+
+    RooPlot *frame_logistic=x_2->frame();
+    pred_2.plotOn(frame_logistic, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_logistic.plotOn(frame_logistic, RooFit::VisualizeError(*r_logistic, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
+    f_logistic.plotOn(frame_logistic, RooFit::LineColor(kBlue+1));
+    double fitChi2_logistic=frame_logistic->chiSquare();
+    RooAbsReal* chi2_logistic = f_logistic.createChi2(pred_2);
+    double pvalue_logistic=TMath::Prob(chi2_logistic->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
+
+    TCanvas *c_logistic=new TCanvas("c_logistic", "c_logistic", 700, 700);
+    frame_logistic->Draw();
+
+    TPaveText *pave_logistic = new TPaveText(0.55,0.7,0.82,0.9,"NDC");
+    pave_logistic->SetBorderSize(0);
+    pave_logistic->SetTextSize(0.03);
+    pave_logistic->SetLineColor(1);
+    pave_logistic->SetLineStyle(1);
+    pave_logistic->SetLineWidth(2);
+    pave_logistic->SetFillColor(0);
+    pave_logistic->SetFillStyle(0);
+    pave_logistic->AddText("LogisticXChebychev3");
+    sprintf(value,"par_logistic_0= %2.3f +- %2.3f",par_logistic_0.getVal(),par_logistic_0.getError());
+    pave_logistic->AddText(value);
+    sprintf(value,"par_logistic_1= %2.3f +- %2.3f",par_logistic_1.getVal(),par_logistic_1.getError());
+    pave_logistic->AddText(value);
+    sprintf(value,"par_logistic_2= %2.3f +- %2.3f",par_logistic_2.getVal(),par_logistic_2.getError());
+    pave_logistic->AddText(value);
+    sprintf(value,"par_logistic_3= %2.3f +- %2.3f",par_logistic_3.getVal(),par_logistic_3.getError());
+    pave_logistic->AddText(value);
+    sprintf(value,"par_logistic_4= %2.3f +- %2.3f",par_logistic_4.getVal(),par_logistic_4.getError());
+    pave_logistic->AddText(value);
+    sprintf(value,"par_logistic_5= %2.3f +- %2.3f",par_logistic_5.getVal(),par_logistic_5.getError());
+    pave_logistic->AddText(value);
+    sprintf(value,"par_logistic_6= %2.3f +- %2.3f",par_logistic_6.getVal(),par_logistic_6.getError());
+    pave_logistic->AddText(value);
+    sprintf(value,"par_logistic_7= %2.3f +- %2.3f",par_logistic_7.getVal(),par_logistic_7.getError());
+    pave_logistic->AddText(value);
+    sprintf(value,"range [%d,%d]",range_lo_2,range_hi_2);
+    pave_logistic->AddText(value);
+    sprintf(value,"chi^2 %2.1f",fitChi2_logistic);
+    pave_logistic->AddText(value);
+    pave_logistic->Draw();
+    type= "SB_logistic_"+to_string(range_lo_2)+"_"+to_string(range_hi_2);
+    c_logistic->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
+*/
+
+    
+    TH1* hh_pdf = f_gaus_exp.createHistogram("hh", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    TH1* hh_pdf_11 = f_crystal.createHistogram("hh1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    //TH1* hh_pdf_11 = f_novo.createHistogram("hh1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    TH1* hh_pdf_2 = f_gaus_exp.createHistogram("difference_1", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    TH1* hh_pdf_4 = f_gaus_exp.createHistogram("sum", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    TH1* hh_pdf_5 = f_gaus_exp.createHistogram("ratio", *x_1, RooFit::Binning(1000,range_hi_1, range_hi_1)) ;
+    hh_pdf_5->SetLineColor(kRed);
+    hh_pdf_2->Add(hh_pdf_11,-1);
+    hh_pdf_4->Add(hh_pdf_11,1);
+    hh_pdf_4->Scale(0.5);
+    hh_pdf_5->Add(hh_pdf,-1);
+    hh_pdf_5->Add(hh_pdf_2,1);
+    hh_pdf_5->Divide(hh_pdf_4);
+    hh_pdf_5->GetYaxis()->SetRangeUser(-1,1);
+    new TCanvas; hh_pdf_5->Draw();
+ 
+    
+    
+    TH1* hh_pdf_1 = f_novo.createHistogram("hh_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    TH1* hh_pdf_1_1 = f_crystal_1.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    //TH1* hh_pdf_1_1 = f_gaus_bern.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    //TH1* hh_pdf_1_1 = f_gaus_exp.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    //TH1* hh_pdf_1_1 = f_landau.createHistogram("hh1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    TH1* hh_pdf_2_1 = f_novo.createHistogram("difference_1_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    TH1* hh_pdf_4_1 = f_novo.createHistogram("sum_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    TH1* hh_pdf_5_1 = f_novo.createHistogram("ratio_1", *x_2, RooFit::Binning(1000,range_hi_2, range_hi_2)) ;
+    hh_pdf_5_1->SetLineColor(kRed);
+    hh_pdf_2_1->Add(hh_pdf_1_1,-1);
+    hh_pdf_4_1->Add(hh_pdf_1_1,1);
+    hh_pdf_4_1->Scale(0.5);
+    hh_pdf_5_1->Add(hh_pdf_1,-1);
+    hh_pdf_5_1->Add(hh_pdf_2_1,1);
+    hh_pdf_5_1->Divide(hh_pdf_4_1);
+    hh_pdf_5_1->GetYaxis()->SetRangeUser(-1,1);
+    new TCanvas; hh_pdf_5_1->Draw();
+    
+    
+    
+    
+    
+    
+    double xPad = 0.3;
+    TCanvas *c_gaus_exp_1=new TCanvas("c_gaus_exp_1", "c_gaus_exp_1", 700*(1.-xPad), 700);
+    c_gaus_exp_1->SetFillStyle(4000);
+    c_gaus_exp_1->SetFrameFillColor(0);
+    
+    TPad *p_1=new TPad("p_1", "p_1", 0, xPad, 1, 1);
+    p_1->SetFillStyle(4000);
+    p_1->SetFrameFillColor(0);
+    p_1->SetBottomMargin(0.02);
+    
+    TPad* p_2 = new TPad("p_2", "p_2",0,0,1,xPad);
+    p_2->SetBottomMargin((1.-xPad)/xPad*0.13);
+    p_2->SetTopMargin(0.03);
+    p_2->SetFillColor(0);
+    p_2->SetBorderMode(0);
+    p_2->SetBorderSize(2);
+    p_2->SetFrameBorderMode(0);
+    p_2->SetFrameBorderMode(0);
+    
+    p_1->Draw();
+    p_2->Draw();
+    p_1->cd();
+    
+    
+    RooPlot *frame_gaus_exp_1=x_1->frame();
+    pred_1.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3004));
+    //f_logistic.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_logistic, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
+    f_crystal.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_crystal, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
+    f_crystal.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
+    //f_logistic.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(4), RooFit::LineStyle(kDashed) );
+    
+    
+    if (log=="log") frame_gaus_exp_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5.);
+    else frame_gaus_exp_1->GetYaxis()->SetRangeUser(0, h_mX_SR->GetMaximum()*1.2);
+    frame_gaus_exp_1->GetXaxis()->SetLabelOffset(0.03);
+    frame_gaus_exp_1->GetYaxis()->SetLabelFont(42);
+    frame_gaus_exp_1->GetYaxis()->SetTitleFont(42);
+    frame_gaus_exp_1->GetYaxis()->SetTitleOffset(1.25);
+    frame_gaus_exp_1->Draw("same");
+    frame_gaus_exp_1->SetTitle(("; m_{X} (GeV); Events / "+itoa(h_mX_SR->GetBinWidth(1))+" GeV").c_str());
+    if (log=="log") p_1->SetLogy();
+    
+    TPaveText *pave = new TPaveText(0.65,0.57,0.83,0.72,"NDC");
+    pave->SetBorderSize(0);
+    pave->SetTextSize(0.03);
+    pave->SetLineColor(1);
+    pave->SetLineStyle(1);
+    pave->SetLineWidth(2);
+    pave->SetFillColor(0);
+    pave->SetFillStyle(0);
+    char name[1000];
+    char name1[1000];
+    if (hist.substr(0,7)=="h_mX_SB") {
+        sprintf(name,"SB_gaus_exp #chi^{2}/n = %.2f",fitChi2_gaus_exp);
+        sprintf(name1,"p-value_gaus_exp = %.2f",pvalue_gaus_exp);
+    }
+    else sprintf(name,"SR_gaus_exp #chi^{2}/n = %.2f",fitChi2_gaus_exp);
+    pave->AddText(name);
+    pave->AddText(name1);
+    if (hist.substr(0,7)=="h_mX_SB") {
+        sprintf(name,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
+        sprintf(name1,"p-value_crystal = %.2f",pvalue_crystal);
+    }
+    else sprintf(name,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
+    pave->AddText(name);
+    pave->AddText(name1);
+    pave->Draw();
+    
+    TLatex * tPrel = new TLatex();
+    tPrel->SetNDC();
+    tPrel->SetTextColor(kBlack);
+    tPrel->SetTextSize(0.04);
+    
+    TLegend *leg = new TLegend(0.61, 0.72,0.75,0.89,NULL,"brNDC");
+    leg->SetBorderSize(0);
+    leg->SetTextSize(0.035);
+    leg->SetLineColor(1);
+    leg->SetLineStyle(1);
+    leg->SetLineWidth(2);
+    leg->SetFillColor(0);
+    leg->SetFillStyle(0);
+    h_mX_SR->SetMarkerStyle(20);
+    if (hist.substr(0,7)=="h_mX_SB"){
+        h_mX_SR->SetLineColor(kBlack);
+        h_mX_SR->SetMarkerColor(kBlack);
+        leg->AddEntry(h_mX_SR, "Data of ABCD-SR", "ep");
+        
+    }
+    else leg->AddEntry(h_mX_SR, "Data in SR", "ep");
+    TH1F * temp = new TH1F("temp", "temp", 100, 0,1); temp->SetLineWidth(2);  temp->SetLineColor(kBlack);
+    leg->AddEntry(temp, "GaussExp fit", "l");
+    TH1F * temp1 = new TH1F("temp1", "temp1", 100, 0,1); temp1->SetLineWidth(2);
+    temp1->SetLineColor(kRed);
+    leg->AddEntry(temp1, "CrystalBall fit", "l");
+    leg->Draw();
+    
+    CMS_lumi( p_1, iPeriod, iPos );
+    
+    p_2->cd();
+    RooHist *hpull, *hpull1;
+    hpull = frame_gaus_exp->pullHist();
+    hpull->SetLineWidth(2);
+    hpull1 = frame_crystal->pullHist();
+    //hpull1 = frame_logistic->pullHist();
+    hpull1->SetMarkerColor(kRed);
+    hpull1->SetLineStyle(kDashed);
+    hpull1->SetMarkerSize(0.6);
+    hpull1->SetLineColor(kRed);
+    RooPlot* frameP = x_1->frame() ;
+    
+    frameP->SetTitle("; m_{X} (GeV); Pull");
+    frameP->addPlotable(hpull,"P");
+    frameP->addPlotable(hpull1,"P same");
+    frameP->GetYaxis()->SetTitleSize(0.07);
+    frameP->GetYaxis()->SetTitleOffset(0.5);
+    frameP->GetXaxis()->SetTitleSize(0.09);
+    frameP->GetXaxis()->SetTitleOffset(1.0);
+    frameP->GetXaxis()->SetLabelSize(0.07);
+    frameP->GetYaxis()->SetLabelSize(0.06);
+    frameP->Draw();
+    
+    
+    TLine *line=new TLine(range_lo_1, 0, range_hi_1, 0);
+    line->SetLineWidth(2);
+    line->Draw();
+    
+    string tag;
+    if (hist.substr(0,7)=="h_mX_SB") tag="SB";
+    else tag="SR";
+    c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.png").c_str());
+    c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.pdf").c_str());
+ 
+    
+    TCanvas *c_novo_1=new TCanvas("c_novo_1", "c_novo_1", 700*(1.-xPad), 700);
+    c_novo_1->SetFillStyle(4000);
+    c_novo_1->SetFrameFillColor(0);
+    
+    TPad *p_3=new TPad("p_3", "p_3", 0, xPad, 1, 1);
+    p_3->SetFillStyle(4000);
+    p_3->SetFrameFillColor(0);
+    p_3->SetBottomMargin(0.02);
+    
+    TPad* p_4 = new TPad("p_4", "p_4",0,0,1,xPad);
+    p_4->SetBottomMargin((1.-xPad)/xPad*0.13);
+    p_4->SetTopMargin(0.03);
+    p_4->SetFillColor(0);
+    p_4->SetBorderMode(0);
+    p_4->SetBorderSize(2);
+    p_4->SetFrameBorderMode(0);
+    p_4->SetFrameBorderMode(0);
+    
+    p_3->Draw();
+    p_4->Draw();
+    p_3->cd();
+    
+    
+    RooPlot *frame_novo_1=x_2->frame();
+    pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_crystal_1.plotOn(frame_novo_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3001));
+    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3004));
+    f_crystal_1.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
+    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
+    
+    
+    if (log=="log") frame_novo_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5);
+    else frame_novo_1->GetYaxis()->SetRangeUser(0, h_mX_SR->GetMaximum()*1.2);
+    frame_novo_1->GetXaxis()->SetLabelOffset(0.03);
+    frame_novo_1->GetYaxis()->SetLabelFont(42);
+    frame_novo_1->GetYaxis()->SetTitleFont(42);
+    frame_novo_1->GetYaxis()->SetTitleOffset(1.25);
+    frame_novo_1->Draw("same");
+    frame_novo_1->SetTitle(("; m_{X} (GeV); Events / "+itoa(h_mX_SR->GetBinWidth(1))+" GeV").c_str());
+    if (log=="log") p_3->SetLogy();
+    
+    TPaveText *pave_1 = new TPaveText(0.65,0.57,0.85,0.72,"NDC");
+    pave_1->SetBorderSize(0);
+    pave_1->SetTextSize(0.03);
+    pave_1->SetLineColor(1);
+    pave_1->SetLineStyle(1);
+    pave_1->SetLineWidth(2);
+    pave_1->SetFillColor(0);
+    pave_1->SetFillStyle(0);
+    char name_1[1000];
+    char name_11[1000];
+    if (hist.substr(0,7)=="h_mX_SB") {
+        sprintf(name_1,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
+        sprintf(name_11,"p-value_crystal = %.2f",pvalue_crystal_1);
+    }
+    else sprintf(name_1,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
+    pave_1->AddText(name_1);
+    pave_1->AddText(name_11);
+    if (hist.substr(0,7)=="h_mX_SB") {
+        sprintf(name_1,"SB_novo #chi^{2}/n = %.2f",fitChi2_Novo);
+        sprintf(name_11,"p-value_novo = %.2f",pvalue_novo);
+    }
+    else sprintf(name_1,"SR_novo #chi^{2}/n = %.2f",fitChi2_Novo);
+    pave_1->AddText(name_1);
+    pave_1->AddText(name_11);
+    pave_1->Draw();
+    
+    TLatex * tPrel_1 = new TLatex();
+    tPrel_1->SetNDC();
+    tPrel_1->SetTextColor(kBlack);
+    tPrel_1->SetTextSize(0.04);
+    
+    TLegend *leg_1 = new TLegend(0.61, 0.72,0.75,0.89,NULL,"brNDC");
+    leg_1->SetBorderSize(0);
+    leg_1->SetTextSize(0.035);
+    leg_1->SetLineColor(1);
+    leg_1->SetLineStyle(1);
+    leg_1->SetLineWidth(2);
+    leg_1->SetFillColor(0);
+    leg_1->SetFillStyle(0);
+    h_mX_SR->SetMarkerStyle(20);
+    if (hist.substr(0,7)=="h_mX_SB"){
+        h_mX_SR->SetLineColor(kBlack);
+        h_mX_SR->SetMarkerColor(kBlack);
+        leg_1->AddEntry(h_mX_SR, "Data of ABCD-SR", "ep");
+        
+    }
+    else leg_1->AddEntry(h_mX_SR, "Data in SR", "ep");
+    TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kRed);
+    TH1F* temp_11 = new TH1F("temp_11", "temp_11", 100, 0,1); temp_11->SetLineWidth(2);
+    temp_11->SetLineColor(kBlack);
+    leg_1->AddEntry(temp_11, "CrystalBall fit", "l");
+    leg_1->AddEntry(temp_1, "Novorsibisk fit", "l");
+    leg_1->Draw();
+    
+    CMS_lumi( p_3, iPeriod, iPos );
+    
+    p_4->cd();
+    RooHist *hpull_1, *hpull_11;
+    hpull_1 = frame_novo->pullHist();
+    hpull_1->SetLineWidth(2);
+    hpull_11 = frame_crystal_1->pullHist();
+    hpull_11->SetLineStyle(kDashed);
+    hpull_11->SetLineColor(kRed);
+    hpull_11->SetMarkerSize(0.6);
+    hpull_11->SetMarkerColor(kRed);
+    RooPlot* frameP_1 = x_2->frame() ;
+    
+    frameP_1->SetTitle("; m_{X} (GeV); Pull");
+    frameP_1->addPlotable(hpull_1,"P");
+    frameP_1->addPlotable(hpull_11,"P same");
+    frameP_1->GetYaxis()->SetTitleSize(0.07);
+    frameP_1->GetYaxis()->SetTitleOffset(0.5);
+    frameP_1->GetXaxis()->SetTitleSize(0.09);
+    frameP_1->GetXaxis()->SetTitleOffset(1.0);
+    frameP_1->GetXaxis()->SetLabelSize(0.07);
+    frameP_1->GetYaxis()->SetLabelSize(0.06);
+    frameP_1->Draw();
+    
+    
+    TLine *line_1=new TLine(range_lo_2, 0, range_hi_2, 0);
+    line_1->SetLineWidth(2);
+    line_1->Draw();
+    
+    c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.png").c_str());
+    c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.pdf").c_str());
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    TH1F *h_mX_SR_fakeData=(TH1F*)h_mX_SR->Clone("h_mX_SR_fakeData");
+    h_mX_SR_fakeData->Scale(nEventsSR/h_mX_SR_fakeData->GetSumOfWeights());
+    
+    RooDataHist data_obs_crystal(Form("data_obs_crystal_%d_%d",range_lo_1, range_hi_1), "Data", RooArgList(*x_1), h_mX_SR_fakeData);
+    RooDataHist data_obs_gaus_exp(Form("data_obs_gaus_exp_%d_%d",range_lo_1, range_hi_1), "Data", RooArgList(*x_1), h_mX_SR_fakeData);
+    RooDataHist data_obs_novo(Form("data_obs_novo_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
+    RooDataHist data_obs_crystal_1(Form("data_obs_crystal_1_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
+    //RooDataHist data_obs_gaus_bern(Form("data_obs_gaus_bern_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
+    //RooDataHist data_obs_landau(Form("data_obs_landau_%d_%d",range_lo_2, range_hi_2), "Data", RooArgList(*x_2), h_mX_SR_fakeData);
+    
+    RooRealVar f_crystal_norm("f_crystal_norm","f_crystal_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))); 
+    RooWorkspace *w_background_crystal=new RooWorkspace("HbbHbb");
+    w_background_crystal->import(data_obs_crystal);
+    w_background_crystal->import(f_crystal);
+    //w_background_crystal->import(f_crystal_norm);
+    w_background_crystal->SaveAs((dest_dir+"/"+Form("w_background_crystal_%d_%d.root",range_lo_1,range_hi_1)).c_str());
+    
+    RooRealVar f_gaus_exp_norm("f_gaus_exp_norm","f_gaus_exp_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))); 
+    RooWorkspace *w_background_gaus_exp=new RooWorkspace("HbbHbb");
+    w_background_gaus_exp->import(data_obs_gaus_exp);
+    w_background_gaus_exp->import(f_gaus_exp);
+    //w_background_gaus_exp->import(f_gaus_exp_norm);
+    w_background_gaus_exp->SaveAs((dest_dir+"/"+Form("w_background_gaus_exp_%d_%d.root",range_lo_1,range_hi_1)).c_str());
+    
+    
+    RooRealVar f_novo_norm("f_novo_norm","f_novo_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))); 
+    RooWorkspace *w_background_novo=new RooWorkspace("HbbHbb");
+    w_background_novo->import(data_obs_novo);
+    w_background_novo->import(f_novo);
+    //w_background_novo->import(f_novo_norm);
+    w_background_novo->SaveAs((dest_dir+"/"+Form("w_background_novo_%d_%d.root",range_lo_2,range_hi_2)).c_str());
+
+    RooRealVar f_crystal_1_norm("f_crystal_1_norm","f_crystal_1_norm",h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))); 
+    RooWorkspace *w_background_crystal_1=new RooWorkspace("HbbHbb");
+    w_background_crystal_1->import(data_obs_crystal_1);
+    w_background_crystal_1->import(f_crystal_1);
+    //w_background_crystal_1->import(f_crystal_1_norm);
+    w_background_crystal_1->SaveAs((dest_dir+"/"+Form("w_background_crystal_1_%d_%d.root",range_lo_2,range_hi_2)).c_str());
+
+/*
+    RooWorkspace *w_background_gaus_bern=new RooWorkspace("HbbHbb");
+    w_background_gaus_bern->import(data_obs_gaus_bern);
+    w_background_gaus_bern->import(f_gaus_bern);
+    w_background_gaus_bern->SaveAs((dest_dir+"/"+Form("w_background_gaus_bern_%d_%d.root",range_lo_2,range_hi_2)).c_str());
+
+
+    RooWorkspace *w_background_landau=new RooWorkspace("HbbHbb");
+    w_background_landau->import(data_obs_landau);
+    w_background_landau->import(f_landau);
+    w_background_landau->SaveAs((dest_dir+"/"+Form("w_background_landau_%d_%d.root",range_lo_2,range_hi_2)).c_str());
+*/
+    
+    
+    
+    std::cout<<" === RooFit data fit result to be entered in datacard === "<<std::endl;
+    
+    std::cout<<Form(" Background number of crystal_%d_%d = ", range_lo_1, range_hi_1)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))<<std::endl;
+    std::cout<<Form(" Background number of gaus_exp_%d_%d = ", range_lo_1, range_hi_1)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_1),h_mX_SR_fakeData->FindBin(range_hi_1))<<std::endl;
+    std::cout<<Form(" Background number of novo_%d_%d = ", range_lo_2, range_hi_2)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))<<std::endl;
+    std::cout<<Form(" Background number of crystal_1_%d_%d = ", range_lo_2, range_hi_2)<<h_mX_SR_fakeData->Integral(h_mX_SR_fakeData->FindBin(range_lo_2),h_mX_SR_fakeData->FindBin(range_hi_2))<<std::endl;
+    
+    
+    std::cout<<"par_crystal_0   param   "<<par_crystal_0.getVal()<<" "<<par_crystal_0.getError()<<std::endl;
+    std::cout<<"par_crystal_1   param   "<<par_crystal_1.getVal()<<" "<<par_crystal_1.getError()<<std::endl;
+    std::cout<<"par_crystal_2   param   "<<par_crystal_2.getVal()<<" "<<par_crystal_2.getError()<<std::endl;
+    std::cout<<"par_crystal_3   param   "<<par_crystal_3.getVal()<<" "<<par_crystal_3.getError()<<std::endl;
+    
+    
+    
+    std::cout<<"par_crystal_1_0   param   "<<par_crystal_1_0.getVal()<<" "<<par_crystal_1_0.getError()<<std::endl;
+    std::cout<<"par_crystal_1_1   param   "<<par_crystal_1_1.getVal()<<" "<<par_crystal_1_1.getError()<<std::endl;
+    std::cout<<"par_crystal_1_2   param   "<<par_crystal_1_2.getVal()<<" "<<par_crystal_1_2.getError()<<std::endl;
+    std::cout<<"par_crystal_1_3   param   "<<par_crystal_1_3.getVal()<<" "<<par_crystal_1_3.getError()<<std::endl;
+    
+    std::cout<<"par_gaus_exp_0   param   "<<par_gaus_exp_0.getVal()<<" "<<par_gaus_exp_0.getError()<<std::endl;
+    std::cout<<"par_gaus_exp_1   param   "<<par_gaus_exp_1.getVal()<<" "<<par_gaus_exp_1.getError()<<std::endl;
+    std::cout<<"par_gaus_exp_2   param   "<<par_gaus_exp_2.getVal()<<" "<<par_gaus_exp_2.getError()<<std::endl;
+    
+    std::cout<<"par_novo_0   param   "<<par_novo_0.getVal()<<" "<<par_novo_0.getError()<<std::endl;
+    std::cout<<"par_novo_1   param   "<<par_novo_1.getVal()<<" "<<par_novo_1.getError()<<std::endl;
+    std::cout<<"par_novo_2   param   "<<par_novo_2.getVal()<<" "<<par_novo_2.getError()<<std::endl;
+
+}
+
diff --git a/DisplayJetProperties.cc b/DisplayJetProperties.cc
new file mode 100644
index 0000000..ac87cfa
--- /dev/null
+++ b/DisplayJetProperties.cc
@@ -0,0 +1,231 @@
+#include <TH1F.h>
+#include <TLegend.h>
+#include <TCanvas.h>
+#include <TArrow.h>
+#include <TROOT.h>
+#include <TStyle.h>
+#include <TFile.h>
+
+#include <iostream>
+
+#include "TDRStyle.h"
+
+bool first;
+
+std::string itoa(int i) 
+{
+  char res[4];
+  sprintf(res, "%d", i);
+  std::string ret(res);
+  return ret;
+}
+
+// Display histogram for file 
+TH1* DisplayHistogram_forFile(TFile *file, std::string histogramName, int color)
+{
+  TH1F *h=(TH1F*)file->Get(histogramName.c_str());
+
+  h->Scale(1./h->GetSumOfWeights());
+  h->SetLineColor(color);
+  h->SetLineWidth(2);
+  if (first)
+  {
+    h->SetMaximum(h->GetMaximum()*1.5);
+    h->GetYaxis()->SetTitleOffset(1.6);
+    //h->SetLineStyle(2);
+    h->Draw("P");
+
+    first=false;
+  }
+  h->Draw("hist same");
+
+  return h;
+}
+
+void DisplayJetProperties()
+{
+  std::vector<TFile*> v_files;
+  v_files.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root"));
+  v_files.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root"));
+  v_files.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root"));
+  v_files.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root"));
+  v_files.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root"));
+  v_files.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root"));
+  TFile *f_data=new TFile("PreselectedWithRegressionDeepCSV/Histograms_Preselected_BTagTotal.root");
+  std::vector <double> mean_gen={300, 400, 500, 600, 800, 900};
+  std::vector<int> v_colors = {kAzure+1, kAzure+3, kRed+1, kPink+1, kPink+3, kGreen+2, kGreen+3, kBlue+1, kGray+2, kCyan, kCyan+2, kRed-4, kRed-7, kYellow-4, kGreen-4, kGreen };
+  
+  gROOT->SetStyle("Plain");
+  TStyle *myStyle=setTDRStyle();
+  myStyle->cd();
+  myStyle->SetOptTitle(0);
+  myStyle->SetOptStat(0);
+  
+
+  TLegend *leg=new TLegend(0.55, 0.5, 0.84, 0.89);
+  leg->AddEntry(f_data->Get("h_pTreg_JetpT_1"), "13 TeV Data");
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    leg->AddEntry(v_files.at(i)->Get("h_pTreg_JetpT_1"), ("Signal m_{X} = "+itoa(mean_gen.at(i))+" GeV").c_str());
+  }
+
+  TLegend *leg2=new TLegend(0.6, 0.5, 0.89, 0.89);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    leg2->AddEntry(v_files.at(i)->Get("h_pTreg_JetpT_1"), ("Signal m_{X} = "+itoa(mean_gen.at(i))+" GeV").c_str());
+  }
+  
+  // Plot the 1st highest pT jets with |eta| < 2.5  
+  first=true;
+  TCanvas *c_pTreg_JetpT_1=new TCanvas("c_pTreg_JetpT_1", "c_pTreg_JetpT_1", 700, 700);
+  DisplayHistogram_forFile(f_data, "h_pTreg_JetpT_1", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_pTreg_JetpT_1", v_colors.at(i));
+  }
+  leg->Draw();
+  TArrow *line=new TArrow(30., 0.14, 30., 0); line->SetLineWidth(3);
+  line->Draw();
+  c_pTreg_JetpT_1->SaveAs("c_pTreg_JetpT_1.pdf");
+  
+  // Plot the 2nd highest pT jets with |eta| < 2.5
+  first=true;
+  TCanvas *c_pTreg_JetpT_2=new TCanvas("c_pTreg_JetpT_2", "c_pTreg_JetpT_2", 700, 700);
+  DisplayHistogram_forFile(f_data, "h_pTreg_JetpT_2", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_pTreg_JetpT_2", v_colors.at(i));
+  }
+  leg->Draw();
+  line->Draw();
+  c_pTreg_JetpT_2->SaveAs("c_pTreg_JetpT_2.pdf");
+  
+  // Plot the 3rd highest pT jets with |eta| < 2.5
+  first=true;
+  TCanvas *c_pTreg_JetpT_3=new TCanvas("c_pTreg_JetpT_3", "c_pTreg_JetpT_3", 700, 700);
+  DisplayHistogram_forFile(f_data, "h_pTreg_JetpT_3", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_pTreg_JetpT_3", v_colors.at(i));
+  }
+  leg->Draw();
+  line->Draw();
+  c_pTreg_JetpT_3->SaveAs("c_pTreg_JetpT_3.pdf");
+  
+  // Plot the 4th highest pT jets with |eta| < 2.5
+  first=true;
+  TCanvas *c_pTreg_JetpT_4=new TCanvas("c_pTreg_JetpT_4", "c_pTreg_JetpT_4", 700, 700);
+  DisplayHistogram_forFile(f_data, "h_pTreg_JetpT_4", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_pTreg_JetpT_4", v_colors.at(i));
+  }
+  leg->Draw();
+  line->Draw();
+  c_pTreg_JetpT_4->SaveAs("c_pTreg_JetpT_4.pdf");
+  
+  // Plot the 5th highest pT jets with |eta| < 2.5
+  first=true;
+  TCanvas *c_pTreg_JetpT_5=new TCanvas("c_pTreg_JetpT_5", "c_pTreg_JetpT_5", 700, 700);
+  DisplayHistogram_forFile(f_data, "h_pTreg_JetpT_5", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_pTreg_JetpT_5", v_colors.at(i));
+  }
+  leg->Draw();
+  c_pTreg_JetpT_5->SaveAs("c_pTreg_JetpT_5.pdf");
+  
+  
+  // Plot the 1st highest CSV jets with |eta| < 2.5, pT > 40 GeV  
+  first=true;
+  TCanvas *c_CMVAOrder_JetCMVA_1=new TCanvas("c_CMVAOrder_JetCMVA_1", "c_CMVAOrder_JetCMVA_1", 700, 700);
+   DisplayHistogram_forFile(f_data, "h_CMVAOrder_JetCMVA_1", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_CMVAOrder_JetCMVA_1", v_colors.at(i));
+  }
+  leg->Draw();
+  line=new TArrow(0.6324, 0.6, 0.6324, 0); line->SetLineWidth(3);
+  line->Draw();
+  c_CMVAOrder_JetCMVA_1->SaveAs("c_CMVAOrder_JetCMVA_1.pdf");
+  
+  // Plot the 2nd highest CSV jets with |eta| < 2.5, pT > 40 GeV  
+  first=true;
+  TCanvas *c_CMVAOrder_JetCMVA_2=new TCanvas("c_CMVAOrder_JetCMVA_2", "c_CMVAOrder_JetCMVA_2", 700, 700);
+  DisplayHistogram_forFile(f_data, "h_CMVAOrder_JetCMVA_2", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_CMVAOrder_JetCMVA_2", v_colors.at(i));
+  }
+  leg->Draw();
+  line=new TArrow(0.6324, 0.4, 0.6324, 0); line->SetLineWidth(3);
+  line->Draw();
+  c_CMVAOrder_JetCMVA_2->SaveAs("c_CMVAOrder_JetCMVA_2.pdf");
+  
+  // Plot the 3rd highest CSV jets with |eta| < 2.5, pT > 40 GeV  
+  first=true;
+  TCanvas *c_CMVAOrder_JetCMVA_3=new TCanvas("c_CMVAOrder_JetCMVA_3", "c_CMVAOrder_JetCMVA_3", 700, 700);
+  DisplayHistogram_forFile(f_data, "h_CMVAOrder_JetCMVA_3", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_CMVAOrder_JetCMVA_3", v_colors.at(i));
+  }
+  leg->Draw();
+  line=new TArrow(0.6324, 0.1, 0.6324, 0); line->SetLineWidth(3);
+  line->Draw();
+  c_CMVAOrder_JetCMVA_3->SaveAs("c_CMVAOrder_JetCMVA_3.pdf");
+  
+  // Plot the 4th highest CSV jets with |eta| < 2.5, pT > 40 GeV  
+  first=true;
+  TCanvas *c_CMVAOrder_JetCMVA_4=new TCanvas("c_CMVAOrder_JetCMVA_4", "c_CMVAOrder_JetCMVA_4", 700, 700);
+  DisplayHistogram_forFile(f_data, "h_CMVAOrder_JetCMVA_4", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_CMVAOrder_JetCMVA_4", v_colors.at(i));
+  }
+  leg->Draw();
+  line=new TArrow(0.6324, 0.1, 0.6324, 0); line->SetLineWidth(3);
+  line->Draw();
+  c_CMVAOrder_JetCMVA_4->SaveAs("c_CMVAOrder_JetCMVA_4.pdf");
+  
+  
+  // Plot the nCbJets distribution
+  first=true;
+  TCanvas *c_nCbJets=new TCanvas("c_nCbJets", "c_nCbJets", 700, 700);
+  DisplayHistogram_forFile(f_data, "h_nCbJets", kBlack);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files.at(i), "h_nCbJets", v_colors.at(i));
+  }
+  leg->Draw();
+  line=new TArrow(5, 0.5, 5, 0); line->SetLineWidth(3);
+  line->Draw();
+  c_nCbJets->SaveAs("c_nCbJets.pdf");
+  
+  
+  // Plot the dR distribution between gen b quarks from a Higgs
+  first=true;
+  TCanvas *c_dR_genHbb=new TCanvas("c_dR_genHbb", "c_dR_genHbb", 700, 700);
+  for (int i=v_files.size()-1; i>=0; --i)
+  {
+    ((TH1F*)(v_files.at(i)->Get("h_dR_genHbb")))->Rebin(4);
+    ((TH1F*)(v_files.at(i)->Get("h_dR_genHbb")))->GetXaxis()->SetRangeUser(0, 4.);
+    DisplayHistogram_forFile(v_files.at(i), "h_dR_genHbb", v_colors.at(i));
+    int binx0=((TH1F*)(v_files.at(i)->Get("h_dR_genHbb")))->FindBin(0.);
+    int binx1=((TH1F*)(v_files.at(i)->Get("h_dR_genHbb")))->FindBin(0.4);
+    int binx2=((TH1F*)(v_files.at(i)->Get("h_dR_genHbb")))->FindBin(2.0);
+    double integral1 = ((TH1F*)(v_files.at(i)->Get("h_dR_genHbb")))->Integral(binx0, binx2);
+    double integral2 = ((TH1F*)(v_files.at(i)->Get("h_dR_genHbb")))->Integral(binx1, binx2);
+    std::cout<<"mX = "<<mean_gen.at(i)<<", % of events with dR > 0.4 = "<<integral2/integral1*100.<<"%"<<std::endl;
+  }
+  leg2->Draw();
+  line=new TArrow(1.5, 0.02, 1.5, 0); line->SetLineWidth(3);
+  line->Draw();
+  c_dR_genHbb->SaveAs("c_dR_genHbb.pdf");
+  
+}
+  
+  
+  
+  
+  
diff --git a/DisplayKinFitReg.cc b/DisplayKinFitReg.cc
new file mode 100644
index 0000000..8d638ef
--- /dev/null
+++ b/DisplayKinFitReg.cc
@@ -0,0 +1,416 @@
+#include <TH1F.h>
+#include <TH2F.h>
+#include <TH3F.h>
+#include <TH1D.h>
+#include <TF1.h>
+#include <TGraph.h>
+#include <TLegend.h>
+#include <TPaveStats.h>
+#include <TLine.h>
+#include <TCanvas.h>
+#include <TROOT.h>
+#include <TStyle.h>
+#include <TFile.h>
+
+#include <iostream>
+
+#include "TDRStyle.h"
+
+bool first=true;
+
+std::string itoa(int i) 
+{
+  char res[4];
+  sprintf(res, "%d", i);
+  std::string ret(res);
+  return ret;
+}
+
+std::string ftoa(double i) 
+{
+  char res[10];
+  sprintf(res, "%2.1f", i);
+  std::string ret(res);
+  return ret;
+}
+
+void Display_mH1_ForFile(TFile *f, TFile *fR, double &mean_H1, double &sigma_H1)
+{
+  TH1F *h_H1_mass=(TH1F*)f->Get("h_H1_mass");
+  TH1F *h_H1_mass_reg=(TH1F*)fR->Get("h_H1_mass");
+  
+  TF1 *f_H1_mass=new TF1("f_H1_mass", "gaus", h_H1_mass->GetMean()-1*h_H1_mass->GetRMS(), h_H1_mass->GetMean()+1*h_H1_mass->GetRMS());
+  TF1 *f_H1_mass_reg=new TF1("f_H1_mass_reg", "gaus", h_H1_mass_reg->GetMean()-1*h_H1_mass_reg->GetRMS(), h_H1_mass_reg->GetMean()+1*h_H1_mass_reg->GetRMS());
+  
+  h_H1_mass->Rebin(2);
+  h_H1_mass_reg->Rebin(2);
+  
+  h_H1_mass->GetXaxis()->SetRangeUser(50, 200);
+  h_H1_mass_reg->GetXaxis()->SetRangeUser(50, 200);
+  
+  h_H1_mass->Fit(f_H1_mass, "R");
+  h_H1_mass_reg->Fit(f_H1_mass_reg, "R");
+  
+  h_H1_mass->SetLineColor(kBlue);
+  f_H1_mass->SetLineColor(kBlue);
+  h_H1_mass_reg->SetLineColor(kRed);
+  f_H1_mass_reg->SetLineColor(kRed);
+  
+  h_H1_mass->Draw("");
+  h_H1_mass_reg->Draw("same");
+  
+  TLegend *leg=new TLegend(0.57, 0.89, 0.89, 0.75);
+  leg->AddEntry(h_H1_mass, ("Nominal #bar{x}="+ftoa(f_H1_mass->GetParameter(1))+", #sigma="+ftoa(f_H1_mass->GetParameter(2))).c_str());
+  leg->AddEntry(h_H1_mass_reg, ("Reg. Corr. #bar{x}="+ftoa(f_H1_mass_reg->GetParameter(1))+", #sigma="+ftoa(f_H1_mass_reg->GetParameter(2))).c_str());
+  leg->SetLineColor(0);
+  leg->Draw();
+  
+  mean_H1=f_H1_mass->GetParameter(1);
+  sigma_H1=f_H1_mass->GetParameter(2);
+}
+
+void Display_mH2_ForFile(TFile *f,TFile *fR, double &mean_H2, double &sigma_H2)
+{
+  TH1F *h_H2_mass=(TH1F*)f->Get("h_H2_mass");
+  TH1F *h_H2_mass_biasCorrected=(TH1F*)f->Get("h_H2_mass_biasCorrected");
+  
+  TF1 *f_H2_mass=new TF1("f_H2_mass", "gaus", h_H2_mass->GetMean()-1*h_H2_mass->GetRMS(), h_H2_mass->GetMean()+1*h_H2_mass->GetRMS());
+  TF1 *f_H2_mass_biasCorrected=new TF1("f_H2_mass_biasCorrected", "gaus", h_H2_mass_biasCorrected->GetMean()-1*h_H2_mass_biasCorrected->GetRMS(), h_H2_mass_biasCorrected->GetMean()+1*h_H2_mass_biasCorrected->GetRMS());
+  
+  h_H2_mass->Rebin(2);
+  h_H2_mass_biasCorrected->Rebin(2);
+  
+  h_H2_mass->GetXaxis()->SetRangeUser(50, 200);
+  h_H2_mass_biasCorrected->GetXaxis()->SetRangeUser(50, 200);
+  
+  h_H2_mass->Fit(f_H2_mass, "R");
+  h_H2_mass_biasCorrected->Fit(f_H2_mass_biasCorrected, "R");
+  
+  h_H2_mass->SetLineColor(kBlue);
+  f_H2_mass->SetLineColor(kBlue);
+  h_H2_mass_biasCorrected->SetLineColor(kRed);
+  f_H2_mass_biasCorrected->SetLineColor(kRed);
+  
+  h_H2_mass->Draw("");
+  h_H2_mass_biasCorrected->Draw("same");
+  
+  TLegend *leg=new TLegend(0.57, 0.89, 0.89, 0.75);
+  leg->AddEntry(h_H2_mass, ("Nominal #bar{x}="+ftoa(f_H2_mass->GetParameter(1))+", #sigma="+ftoa(f_H2_mass->GetParameter(2))).c_str());
+  leg->AddEntry(h_H2_mass_biasCorrected, ("Bias Corr. #bar{x}="+ftoa(f_H2_mass_biasCorrected->GetParameter(1))+", #sigma="+ftoa(f_H2_mass_biasCorrected->GetParameter(2))).c_str());
+  leg->SetLineColor(0);
+  leg->Draw();
+  
+  mean_H2=f_H2_mass->GetParameter(1);
+  sigma_H2=f_H2_mass->GetParameter(2);
+}
+
+void DisplayXpT_ForFile(TFile *f, TFile *fR )
+{
+  TH1F *h_HH_balance=(TH1F*)f->Get("h_HH_balance");
+  TH1F *h_HH_balance_reg=(TH1F*)fR->Get("h_HH_balance")->Clone("h_HH_balance_reg");
+  TH1F *h_HH_balance_kinFit=(TH1F*)fR->Get("h_HH_balance_kinFit");
+  
+  h_HH_balance->SetLineColor(kBlue);
+  h_HH_balance_reg->SetLineColor(kGreen+1);
+  h_HH_balance_kinFit->SetLineColor(kRed);
+  
+  h_HH_balance_kinFit->Rebin(5);
+  h_HH_balance->Rebin(5);
+  h_HH_balance_reg->Rebin(5);
+  
+  h_HH_balance->GetXaxis()->SetRangeUser(0, 100);
+  h_HH_balance_reg->GetXaxis()->SetRangeUser(0, 100);
+  h_HH_balance_kinFit->GetXaxis()->SetRangeUser(0, 100);
+  
+  h_HH_balance_kinFit->SetMaximum(h_HH_balance_kinFit->GetMaximum()*1.2);
+  h_HH_balance_kinFit->Draw("hist");
+  h_HH_balance->Draw("hist same");
+  h_HH_balance_reg->Draw("hist same");
+  h_HH_balance_kinFit->Draw("hist same");
+  
+  TLegend *leg=new TLegend(0.4, 0.89, 0.89, 0.7);
+  leg->AddEntry(h_HH_balance, ("Nominal balance, #bar{x} = "+ftoa(h_HH_balance->GetMean())+", #sigma = "+ftoa(h_HH_balance->GetRMS())).c_str());
+  leg->AddEntry(h_HH_balance_kinFit, ("Kinematic fit balance, #bar{x} = "+ftoa(h_HH_balance_kinFit->GetMean())+", #sigma = "+ftoa(h_HH_balance_kinFit->GetRMS())).c_str());
+  leg->SetLineColor(0);
+  leg->Draw();
+}
+
+
+// Display histogram for file 
+TH1* DisplayHistogram_forFile(TFile *file, std::string histogramName, int color, bool reg = false)
+{
+  TH1F *h=(TH1F*)file->Get(histogramName.c_str());
+  h->Scale(1./h->GetSumOfWeights());
+  h->SetLineColor(color);
+  h->SetLineWidth(2);
+  if( reg ) h->SetLineStyle(2);
+  if (first)
+  {
+    h->SetMaximum(h->GetMaximum()*1.5);
+    h->GetYaxis()->SetTitleOffset(1.6);
+    h->Draw("P");
+    first=false;
+  }
+  h->Draw("hist same");
+  return h;
+}
+
+
+void DisplayKinFitReg()
+{
+  std::vector<TFile*> v_files;
+
+v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root"));
+v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root"));
+v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root"));
+v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root"));
+v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root"));
+
+
+std::vector<TFile*> v_files_reg;
+v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root"));
+v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root"));
+v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root"));
+v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root"));
+v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root"));
+
+TFile *f_data_reg=new TFile("PreselectedWithRegressionDeepCSV/Histograms_Preselected_BTagTotal.root");
+std::vector <double> mean_gen={300, 450, 600, 750, 900 };
+  
+ 
+  gROOT->SetStyle("Plain");
+  TStyle *myStyle=setTDRStyle();
+  myStyle->cd();
+  myStyle->SetOptTitle(0);
+  myStyle->SetOptStat(0);
+  
+  std::vector <double> mean, meanDiff_biasCorrected, meanDiff_kinFit, sigma, sigma_biasCorrected, sigma_kinFit;
+  int dontwant=3;
+  std::cout<<"Fitting peaks"<<std::endl;
+  for (unsigned int i=dontwant; i<v_files.size(); ++i)
+  {
+    TH1F *h_mX_SR=(TH1F*)v_files.at(i)->Get("h_mX_SR");
+    TH1F *h_mX_SR_kf=(TH1F*)v_files.at(i)->Get("h_mX_SR_kinFit");
+    TH1F *h_mX_SR_kf_reg=(TH1F*)v_files_reg.at(i)->Get("h_mX_SR_kinFit");
+    
+    h_mX_SR->Rebin(10);
+    h_mX_SR_kf->Rebin(10);
+    h_mX_SR_kf_reg->Rebin(10);
+    
+    TF1 *f_mX_SR=new TF1("f_mX_SR", "gaus", h_mX_SR->GetMean()-(1.5*h_mX_SR->GetRMS()), h_mX_SR->GetMean()+(1.5*h_mX_SR->GetRMS()));
+    f_mX_SR->SetParLimits(1, h_mX_SR->GetMean()-(3*h_mX_SR->GetRMS()), h_mX_SR->GetMean()+(3*h_mX_SR->GetRMS()));
+    f_mX_SR->SetParLimits(2, 0, 3*h_mX_SR->GetRMS());
+    std::cout<<"Fitting: "<<mean_gen.at(i)<<" GeV"<<std::endl;
+    h_mX_SR->Fit(f_mX_SR, "R");
+    std::cout<<"=== ==="<<std::endl;
+    
+    TF1 *f_mX_SR_biasCorrected=new TF1("f_mX_SR_biasCorrected", "gaus", h_mX_SR_kf->GetMean()-(1.5*h_mX_SR_kf->GetRMS()), h_mX_SR_kf->GetMean()+(1.5*h_mX_SR_kf->GetRMS()));
+    f_mX_SR_biasCorrected->SetParLimits(1, h_mX_SR_kf->GetMean()-(3*h_mX_SR_kf->GetRMS()), h_mX_SR_kf->GetMean()+(3*h_mX_SR_kf->GetRMS()));
+    f_mX_SR_biasCorrected->SetParLimits(2, 0, 3*h_mX_SR_kf->GetRMS());
+    std::cout<<"Fitting: "<<mean_gen.at(i)<<" GeV, bias Corrected"<<std::endl;
+    h_mX_SR_kf->Fit(f_mX_SR_biasCorrected, "R");
+    std::cout<<"=== ==="<<std::endl;
+    
+    TF1 *f_mX_SR_kinFit=new TF1("f_mX_SR_kinFit", "gaus", h_mX_SR_kf_reg->GetMean()-(1.5*h_mX_SR_kf_reg->GetRMS()), h_mX_SR_kf_reg->GetMean()+(1.5*h_mX_SR_kf_reg->GetRMS()));
+    f_mX_SR_kinFit->SetParLimits(1, h_mX_SR_kf_reg->GetMean()-(3*h_mX_SR_kf_reg->GetRMS()), h_mX_SR_kf_reg->GetMean()+(3*h_mX_SR_kf_reg->GetRMS()));
+    f_mX_SR_kinFit->SetParLimits(2, 0, 3*h_mX_SR_kf_reg->GetRMS());
+    std::cout<<"Fitting: "<<mean_gen.at(i)<<" GeV, KinFitted"<<std::endl;
+    h_mX_SR_kf_reg->Fit(f_mX_SR_kinFit, "R");
+    std::cout<<"=== ==="<<std::endl;
+    
+    TCanvas *c_Canvas=new TCanvas("c_Canvas", "c_Canvas", 2100, 700);
+    c_Canvas->Divide(3,1);
+    c_Canvas->cd(1);
+    h_mX_SR->Draw();
+    c_Canvas->cd(2);
+    h_mX_SR_kf->Draw();
+    c_Canvas->cd(3);
+    h_mX_SR_kf_reg->Draw();
+    c_Canvas->SaveAs(("c_Fit_"+itoa(mean_gen.at(i))+".png").c_str());
+    delete c_Canvas;
+    
+    mean.push_back(f_mX_SR->GetParameter(1) - mean_gen.at(i));
+    meanDiff_biasCorrected.push_back(f_mX_SR_biasCorrected->GetParameter(1) - mean_gen.at(i));
+    meanDiff_kinFit.push_back(f_mX_SR_kinFit->GetParameter(1) - mean_gen.at(i));
+    
+    sigma.push_back(f_mX_SR->GetParameter(2)/mean_gen.at(i));
+    sigma_biasCorrected.push_back(f_mX_SR_biasCorrected->GetParameter(2)/mean_gen.at(i));
+    sigma_kinFit.push_back(f_mX_SR_kinFit->GetParameter(2)/mean_gen.at(i));
+    
+    delete h_mX_SR;
+    delete h_mX_SR_kf;
+    delete h_mX_SR_kf_reg;
+  }
+  
+  std::vector<double> v_mean_H1, v_sigma_H1;
+  std::vector<double> v_mean_H2, v_sigma_H2;
+  for (unsigned int i=dontwant; i<v_files.size(); ++i)
+  {
+    TCanvas *c_mH1=new TCanvas("c_mH1", "c_mH1", 700, 700);
+    double mean_H1, sigma_H1;
+    Display_mH1_ForFile(v_files.at(i), v_files_reg.at(i), mean_H1, sigma_H1);
+    c_mH1->SaveAs(("c_mH1_"+itoa(mean_gen.at(i))+".png").c_str());
+    delete c_mH1;
+    v_mean_H1.push_back(mean_H1);
+    v_sigma_H1.push_back(sigma_H1);
+    
+    TCanvas *c_mH2=new TCanvas("c_mH2", "c_mH2", 700, 700);
+    double mean_H2, sigma_H2;
+    Display_mH2_ForFile(v_files.at(i), v_files_reg.at(i),  mean_H2, sigma_H2);
+    c_mH2->SaveAs(("c_mH2_"+itoa(mean_gen.at(i))+".png").c_str());
+    delete c_mH2;
+    v_mean_H2.push_back(mean_H2);
+    v_sigma_H2.push_back(sigma_H2);
+  }
+  TGraph *g_mean_H1=new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(v_mean_H1.at(0)));
+  TGraph *g_sigma_H1=new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(v_sigma_H1.at(0)));
+  TGraph *g_mean_H2=new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(v_mean_H2.at(0)));
+  TGraph *g_sigma_H2=new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(v_sigma_H2.at(0)));
+  g_mean_H1->SetTitle("; m_{X}^{gen} (GeV); <m_{H1}>");
+  g_sigma_H1->SetTitle("; m_{X}^{gen} (GeV); #sigma(m_{H1})");
+  g_mean_H2->SetTitle("; m_{X}^{gen} (GeV); <m_{H2}>");
+  g_sigma_H2->SetTitle("; m_{X}^{gen} (GeV); #sigma(m_{H1})");
+  TF1 *f_mean_H1=new TF1("f_mean_H1", "pol0", 400, 1200);
+  TF1 *f_sigma_H1=new TF1("f_sigma_H1", "pol0", 400, 1200);
+  TF1 *f_mean_H2=new TF1("f_mean_H2", "pol0", 400, 1200);
+  TF1 *f_sigma_H2=new TF1("f_sigma_H2", "pol0", 400, 1200);
+  g_mean_H1->Fit(f_mean_H1, "R");
+  g_sigma_H1->Fit(f_sigma_H1, "R");
+  g_mean_H2->Fit(f_mean_H2, "R");
+  g_sigma_H2->Fit(f_sigma_H2, "R");
+  TCanvas *c_H1H2_meanSigma=new TCanvas("c_H1H2_meanSigma", "c_H1H2_meanSigma", 700, 700);
+  c_H1H2_meanSigma->Divide(2,2);
+  c_H1H2_meanSigma->cd(1);
+  g_mean_H1->Draw("A*");
+  c_H1H2_meanSigma->cd(2);
+  g_sigma_H1->Draw("A*");
+  c_H1H2_meanSigma->cd(3);
+  g_mean_H2->Draw("A*");
+  c_H1H2_meanSigma->cd(4);
+  g_sigma_H2->Draw("A*");
+  c_H1H2_meanSigma->SaveAs("c_H1H2_meanSigma.pdf");
+  
+  TGraph *g_mean=new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(mean.at(0)));
+  g_mean->GetYaxis()->SetRangeUser(-100, 100);
+  g_mean->GetXaxis()->SetLimits(300, 1300);
+  g_mean->SetTitle("; m_{X}^{gen} (GeV); m_{X}^{KinFit} - m_{X} (GeV)");
+  g_mean->SetMarkerColor(kBlue);
+  TGraph *g_meanDiff_biasCorrected = new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(meanDiff_biasCorrected.at(0)));
+  g_meanDiff_biasCorrected->SetMarkerColor(kGreen);
+  TGraph *g_meanDiff_kinFit = new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(meanDiff_kinFit.at(0)));
+  g_meanDiff_kinFit->SetMarkerColor(kRed+1);
+  TCanvas *c_meanDiff=new TCanvas("c_meanDiff", "c_meanDiff", 700, 700);
+  g_mean->Draw("A*");
+  g_meanDiff_biasCorrected->Draw("SAME*");
+  g_meanDiff_kinFit->Draw("SAME*");
+  TF1 *f_meanDiff_kinFit=new TF1("f_meanDiff_kinFit", "pol0", 400, 1200);
+  f_meanDiff_kinFit->SetLineColor(kRed); f_meanDiff_kinFit->SetLineWidth(1); f_meanDiff_kinFit->SetLineStyle(7);
+  g_meanDiff_kinFit->Fit(f_meanDiff_kinFit, "R");
+  TLegend *leg=new TLegend(0.5, 0.7, 0.89, 0.89);
+  leg->SetLineColor(0);
+  leg->SetFillColor(0);
+  leg->AddEntry(g_mean, "m_{X}^{reco} - m_{X}^{gen}", "p");
+  leg->AddEntry(g_meanDiff_biasCorrected, "m_{X}^{biasCorr} - m_{X}^{gen}", "p");
+  leg->AddEntry(g_meanDiff_kinFit, "m_{X}^{kinFit} - m_{X}^{gen}", "p");
+  leg->Draw();
+  c_meanDiff->SaveAs("c_meanDiff.pdf");
+  
+  TGraph *g_sigma=new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(sigma.at(0)));
+  g_sigma->SetTitle("; m_{X}^{gen} (GeV); #sigma(m_{X})/m_{X}");
+  g_sigma->GetYaxis()->SetRangeUser(0., 0.08);
+  g_sigma->GetXaxis()->SetLimits(300, 1300);
+  TGraph *g_sigma_biasCorrected=new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(sigma_biasCorrected.at(0)));
+  TGraph *g_sigma_kinFit=new TGraph(v_files.size()-dontwant, &(mean_gen.at(dontwant)), &(sigma_kinFit.at(0)));
+  TCanvas *c_sigma=new TCanvas("c_sigma", "c_sigma", 700, 700);
+  g_sigma->SetMarkerColor(kBlue);
+  g_sigma_biasCorrected->SetMarkerColor(kGreen);
+  g_sigma_kinFit->SetMarkerColor(kRed);
+  g_sigma->Draw("A*");
+  g_sigma_biasCorrected->Draw("SAME*");
+  g_sigma_kinFit->Draw("SAME*");
+  leg=new TLegend(0.5, 0.7, 0.89, 0.89);
+  leg->SetLineColor(0);
+  leg->SetFillColor(0);
+  leg->AddEntry(g_sigma, "nominal resolution", "p");
+  leg->AddEntry(g_sigma_biasCorrected, "bias reconstructed resolution", "p");
+  leg->AddEntry(g_sigma_kinFit, "kinematic fitted resolution", "p");
+  leg->Draw();
+  c_sigma->SaveAs("c_sigma.pdf");
+  
+  // Display jet pT balance
+  for (unsigned int i=2; i<v_files.size(); ++i)
+  {
+    TCanvas *c_HH_balance=new TCanvas("c_HH_balance", "c_HH_balance", 700, 700);
+    DisplayXpT_ForFile(v_files.at(i),v_files_reg.at(i));
+    c_HH_balance->SaveAs(("c_HH_balance_"+itoa(mean_gen.at(i))+".png").c_str());
+    delete c_HH_balance;
+  }
+
+
+  std::vector<TFile*> v_files_reg1;
+  v_files_reg1.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root"));
+  v_files_reg1.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root"));
+  v_files_reg1.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root"));
+  v_files_reg1.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root"));
+  v_files_reg1.push_back(new TFile("PreselectedWithRegressionDeepCSV/Histograms_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root"));
+
+  std::vector<int> v_colors = {kAzure+1, kAzure+3, kRed+1, kPink+1, kPink+3, kGreen+2, kGreen+3, kBlue+1, kGray+2, kCyan, kCyan+2, kRed-4, kRed-7, kYellow-4, kGreen-4, kGreen };
+  leg=new TLegend(0.6, 0.5, 0.89, 0.89);
+  // Plot the 1st highest pT jets with |eta| < 2.5  
+  first=true;
+  TCanvas *c_pTOrder_JetpT_1=new TCanvas("c_pTOrder_JetpT_1", "c_pTOrder_JetpT_1", 700, 700);
+  for (unsigned int i=0; i<v_files_reg1.size(); ++i)
+  {
+    TH1* h = DisplayHistogram_forFile(v_files_reg1.at(i), "h_pTOrder_JetpT_1", v_colors.at(i));
+    DisplayHistogram_forFile(v_files_reg1.at(i), "h_pTreg_JetpT_1", v_colors.at(i), true );
+    leg->AddEntry(h, ("Signal m_{X} = "+itoa(mean_gen.at(i))+" GeV").c_str());
+    
+  }
+  DisplayHistogram_forFile(f_data_reg, "h_pTOrder_JetpT_1", kBlack);
+  DisplayHistogram_forFile(f_data_reg, "h_pTreg_JetpT_1", kBlack, true);
+  leg->AddEntry(f_data_reg->Get("h_pTOrder_JetpT_1"), "13 TeV Data");
+  leg->Draw();
+  TArrow *line=new TArrow(30., 0.14, 30., 0); line->SetLineWidth(3);
+  line->Draw();
+  c_pTOrder_JetpT_1->SaveAs("c_reg_JetpT_1.pdf");
+ 
+  first=true;
+  DisplayHistogram_forFile(f_data_reg, "h_pTOrder_JetpT_2", kBlack);
+  DisplayHistogram_forFile(f_data_reg, "h_pTreg_JetpT_2", kBlack, true);
+  for (unsigned int i=0; i<v_files_reg1.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files_reg1.at(i), "h_pTOrder_JetpT_2", v_colors.at(i));
+    DisplayHistogram_forFile(v_files_reg1.at(i), "h_pTreg_JetpT_2", v_colors.at(i), true );
+    
+  }
+  leg->Draw();
+  line->Draw();
+  c_pTOrder_JetpT_1->SaveAs("c_reg_JetpT_2.pdf");
+
+  first=true;
+  DisplayHistogram_forFile(f_data_reg, "h_pTOrder_JetpT_3", kBlack);
+  DisplayHistogram_forFile(f_data_reg, "h_pTreg_JetpT_3", kBlack, true);  
+  for (unsigned int i=0; i<v_files_reg1.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files_reg1.at(i), "h_pTOrder_JetpT_3", v_colors.at(i));
+    DisplayHistogram_forFile(v_files_reg1.at(i), "h_pTreg_JetpT_3", v_colors.at(i), true );
+    
+  }
+  leg->Draw();
+  line->Draw();
+  c_pTOrder_JetpT_1->SaveAs("c_reg_JetpT_3.pdf");
+
+  first=true;
+  DisplayHistogram_forFile(f_data_reg, "h_pTOrder_JetpT_4", kBlack);
+  DisplayHistogram_forFile(f_data_reg, "h_pTreg_JetpT_4", kBlack, true);  
+  for (unsigned int i=0; i<v_files_reg1.size(); ++i)
+  {
+    DisplayHistogram_forFile(v_files_reg1.at(i), "h_pTOrder_JetpT_4", v_colors.at(i));
+    DisplayHistogram_forFile(v_files_reg1.at(i), "h_pTreg_JetpT_4", v_colors.at(i), true );
+    
+  }
+  leg->Draw();
+  line->Draw();
+  c_pTOrder_JetpT_1->SaveAs("c_reg_JetpT_4.pdf");
+ 
+}
diff --git a/Display_SignalFits.cc b/Display_SignalFits.cc
index 07b6ab1..cdc128c 100644
--- a/Display_SignalFits.cc
+++ b/Display_SignalFits.cc
@@ -1049,7 +1049,7 @@ int Display_SignalFits(std::string dir_preselection="PreselectedWithRegressionDe
   p_2->cd();
   RooHist* hpull;
   hpull = plot_KinFit->pullHist();
-  RooRealVar* x=new RooRealVar("x", "m_{X} (GeV)", 0, 1200);
+  RooRealVar* x=new RooRealVar("x", "m_{X} (GeV)", 0, 1350);
 
   RooPlot* frameP = x->frame() ;
   frameP->SetTitle("");
diff --git a/Display_SignalFits_LMR.cc b/Display_SignalFits_LMR.cc
index 7b16dde..f5aa7f8 100644
--- a/Display_SignalFits_LMR.cc
+++ b/Display_SignalFits_LMR.cc
@@ -388,7 +388,7 @@ RooPlot* fitSignal(TH1F *h, std::string mass, int color, TLegend *leg, Params &p
   else
   {
     rangeLo=500., rangeHi=700.;
-    sg_p0=new RooRealVar("sg_p0", "sg_p0", 560., 650.);
+    sg_p0=new RooRealVar("sg_p0", "sg_p0", 560., 750.);
     sg_p1=new RooRealVar("sg_p1", "sg_p1", 7., 40.);
     sg_p2=new RooRealVar("sg_p2", "sg_p2", 500., 650.);
     sg_p3=new RooRealVar("sg_p3", "sg_p3", 10., 130.);
@@ -970,7 +970,7 @@ cout << "test"<< endl;
   p_2->cd();
   RooHist* hpull;
   hpull = plot_KinFit->pullHist();
-  RooRealVar* x=new RooRealVar("x", "m_{X} (GeV)", 0, 1200);
+  RooRealVar* x=new RooRealVar("x", "m_{X} (GeV)", 0, 1350);
 
   RooPlot* frameP = x->frame() ;
   frameP->SetTitle("");
diff --git a/Display_SignalFits_LMR_bias.cc b/Display_SignalFits_LMR_bias.cc
index 3e1cd15..87207f5 100644
--- a/Display_SignalFits_LMR_bias.cc
+++ b/Display_SignalFits_LMR_bias.cc
@@ -388,7 +388,7 @@ RooPlot* fitSignal(TH1F *h, std::string mass, int color, TLegend *leg, Params &p
   else
   {
     rangeLo=500., rangeHi=700.;
-    sg_p0=new RooRealVar("sg_p0", "sg_p0", 560., 650.);
+    sg_p0=new RooRealVar("sg_p0", "sg_p0", 560., 750.);
     sg_p1=new RooRealVar("sg_p1", "sg_p1", 7., 40.);
     sg_p2=new RooRealVar("sg_p2", "sg_p2", 500., 650.);
     sg_p3=new RooRealVar("sg_p3", "sg_p3", 10., 130.);
@@ -439,7 +439,7 @@ RooPlot* fitSignal(TH1F *h, std::string mass, int color, TLegend *leg, Params &p
   RooRealVar signal_p1_1("signal_p1_1", "signal_p1_1", sg_p1->getVal());
   RooRealVar signal_p2_1("signal_p2_1", "signal_p2_1", sg_p2->getVal());
   RooRealVar signal_p3_1("signal_p3_1", "signal_p3_1", sg_p3->getVal());
-  RooRealVar signal_p4_1("signal_p4_1", "signal_p4v", sg_p4->getVal());
+  RooRealVar signal_p4_1("signal_p4_1", "signal_p4_1", sg_p4->getVal());
   RooGaussian signalCore_fixed_1("signalCore_fixed_1", "Signal Prediction", *x, signal_p0_1, signal_p1_1);
   RooGaussian signalComb_fixed_1("signalComb_fixed_1", "Combinatoric", *x, signal_p2_1, signal_p3_1);
   RooAddPdf signal_bkg("signal_bkg", "signal", RooArgList(signalCore_fixed_1, signalComb_fixed_1), signal_p4_1);
@@ -693,21 +693,21 @@ int Display_SignalFits_LMR_bias(std::string dir_preselection="PreselectedWithReg
   double bias;
   if(range==1){
 	switch(_mass){
-		case 260: bias=-0.06; break;
-		case 270: bias=-0.110; break;
-		case 300: bias=-0.192; break;
+		case 260: bias=-0.033; break;
+		case 270: bias=-0.071; break;
+		case 300: bias=-0.049; break;
 		default: break;
 	}
   }
   else{
 	switch(_mass){
-		case 300: bias=0.036; break;
-		case 350: bias=-0.069; break;
-		case 400: bias=0.014; break;
-		case 450: bias=0.029; break;
+		case 300: bias=0.038; break;
+		case 350: bias=0.005; break;
+		case 400: bias=0.0001; break;
+		case 450: bias=-0.003; break;
 		case 500: bias=-0.002; break;
-		case 550: bias=-0.010; break;
-		case 600: bias=-0.019; break;
+		case 550: bias=-0.003; break;
+		case 600: bias=0.002; break;
 		default: break;
 	}
   }
@@ -1002,7 +1002,7 @@ int Display_SignalFits_LMR_bias(std::string dir_preselection="PreselectedWithReg
   p_2->cd();
   RooHist* hpull;
   hpull = plot_KinFit->pullHist();
-  RooRealVar* x=new RooRealVar("x", "m_{X} (GeV)", 0, 1200);
+  RooRealVar* x=new RooRealVar("x", "m_{X} (GeV)", 0, 1350);
 
   RooPlot* frameP = x->frame() ;
   frameP->SetTitle("");
@@ -1097,3 +1097,4 @@ int Display_SignalFits_LMR_bias(std::string dir_preselection="PreselectedWithReg
 return 0;
 }
 
+
diff --git a/Display_SignalFits_bias.cc b/Display_SignalFits_bias.cc
index 74582cd..384084b 100644
--- a/Display_SignalFits_bias.cc
+++ b/Display_SignalFits_bias.cc
@@ -524,7 +524,7 @@ RooPlot* fitSignal(TH1F *h, std::string mass, int color, TLegend *leg, Params &p
   RooRealVar signal_p2_1("signal_p2_1", "signal_p2_1", sg_p2->getVal());
   RooRealVar signal_p3_1("signal_p3_1", "signal_p3_1", sg_p3->getVal());
   ExpGaussExp signal_bkg("signal_bkg", "Signal Prediction Fixed", *x, signal_p0_1, signal_p1_1, signal_p2_1, signal_p3_1);
-  RooRealVar *signal_bkg_norm= new RooRealVar("signal_bkg_norm","signal_bkg_norm", 0., -bias, bias,"");
+  RooRealVar *signal_bkg_norm= new RooRealVar("signal_bkg_norm","signal_bkg_norm", 0., -abs(bias), abs(bias),"");
   RooWorkspace *w=new RooWorkspace("HbbHbb");
   w->import(signal_fixed);
   w->import(signal_bkg);
@@ -773,25 +773,27 @@ int Display_SignalFits_bias(std::string dir_preselection="PreselectedWithRegress
   double bias;
   if(range==1){
 	switch(_mass){
-		case 550: bias=-0.00039; break;
-		case 600: bias=0.00045; break;
-		case 650: bias=-0.00014; break;
-		case 750: bias=-0.00042; break;
-		case 800: bias=-0.00054; break;
-		case 900: bias=-0.00049; break;
-		case 1000: bias=0.00015; break;
-		default: break;
+		case 550: bias=0.170; break;
+                case 600: bias=0.053; break;
+                case 650: bias=-0.062; break;
+                case 750: bias=-0.190; break;
+                case 800: bias=-0.119; break;
+                case 900: bias=-0.033; break;
+                case 1000: bias=0.061; break;
+                case 1200: bias=0.094; break;
+                default: break;
 	}
   }
   else{
 	switch(_mass){
-                case 550: bias=-0.00039; break;
-                case 600: bias=0.00045; break;
-                case 650: bias=-0.00014; break;
-                case 750: bias=-0.00042; break;
-                case 800: bias=-0.00054; break;
-                case 900: bias=-0.00049; break;
-                case 1000: bias=0.00015; break;
+                case 550: bias=0.170; break;
+                case 600: bias=0.053; break;
+                case 650: bias=-0.062; break;
+                case 750: bias=-0.190; break;
+                case 800: bias=-0.119; break;
+                case 900: bias=-0.033; break;
+                case 1000: bias=0.061; break;
+                case 1200: bias=0.094; break; 
 		default: break;
 	}
   }
@@ -950,8 +952,7 @@ int Display_SignalFits_bias(std::string dir_preselection="PreselectedWithRegress
   plot->Draw("same");
   leg->SetFillColor(0);
   leg->Draw();
-  c_mX_SR->SaveAs((dest_dir+"/"+"SignalFits"+reg+"/c_mX_SR_"+masses.at(i)+".png").c_str());
-  
+  c_mX_SR->SaveAs((dest_dir+"/"+"SignalFits"+reg+"/c_mX_SR_"+masses.at(i)+".png").c_str());  
 
 
   double xPad = 0.3;
@@ -1084,7 +1085,7 @@ int Display_SignalFits_bias(std::string dir_preselection="PreselectedWithRegress
   p_2->cd();
   RooHist* hpull;
   hpull = plot_KinFit->pullHist();
-  RooRealVar* x=new RooRealVar("x", "m_{X} (GeV)", 0, 1200);
+  RooRealVar* x=new RooRealVar("x", "m_{X} (GeV)", 0, 1350);
 
   RooPlot* frameP = x->frame() ;
   frameP->SetTitle("");
@@ -1168,3 +1169,4 @@ int Display_SignalFits_bias(std::string dir_preselection="PreselectedWithRegress
 return 0;
 }
 
+
diff --git a/Display_SignalKinFitReg.cc b/Display_SignalKinFitReg.cc
new file mode 100644
index 0000000..2e10a87
--- /dev/null
+++ b/Display_SignalKinFitReg.cc
@@ -0,0 +1,142 @@
+#include <TH1F.h>
+#include <TH2F.h>
+#include <TH3F.h>
+#include <TH1D.h>
+#include <TF1.h>
+#include <TGraph.h>
+#include <TLegend.h>
+#include <TPaveStats.h>
+#include <TLine.h>
+#include <TCanvas.h>
+#include <TROOT.h>
+#include <TStyle.h>
+#include <TFile.h>
+#include <TArrow.h>
+#include <iostream>
+#include "TDRStyle.h"
+#include "CMS_lumi.c"
+int iPeriod = 4; 
+int iPos = 11;
+
+
+bool first=true;
+
+std::string itoa(int i) 
+{
+  char res[4];
+  sprintf(res, "%d", i);
+  std::string ret(res);
+  return ret;
+}
+
+std::string ftoa(double i) 
+{
+  char res[10];
+  sprintf(res, "%2.1f", i);
+  std::string ret(res);
+  return ret;
+}
+
+void DisplayKinFitForFile(TFile *file, TFile *fileR, double xLine)
+{
+  TH1F *h_mX_SR=(TH1F*)file->Get("h_mX_SR");
+  TH1F *h_mX_SR_kf=(TH1F*)file->Get("h_mX_SR_kinFit")->Clone("h_mX_SR_kf");
+  TH1F *h_mX_SR_kf_reg=(TH1F*)fileR->Get("h_mX_SR_kinFit")->Clone("h_mX_SR_kf_reg");
+
+  
+  h_mX_SR->Rebin(8);
+  h_mX_SR_kf->Rebin(8);
+  h_mX_SR_kf_reg->Rebin(8);
+  h_mX_SR->GetXaxis()->SetRangeUser(200, 1400 );
+  h_mX_SR_kf->GetXaxis()->SetRangeUser(200, 1400 );
+  h_mX_SR_kf_reg->GetXaxis()->SetRangeUser(200, 1400 );
+  h_mX_SR->Smooth(12,"R");
+  h_mX_SR_kf->Smooth(12,"R");
+  h_mX_SR_kf_reg->Smooth(12,"R");
+
+
+  h_mX_SR->SetLineWidth(3);
+  h_mX_SR_kf->SetLineWidth(3);
+  h_mX_SR_kf_reg->SetLineWidth(3);
+  
+  h_mX_SR->SetLineColor(kGray+1);
+  h_mX_SR->SetLineStyle(7);
+  h_mX_SR_kf->SetLineColor(kAzure+1);
+  h_mX_SR_kf->SetLineStyle(5);
+  h_mX_SR_kf_reg->SetLineColor(kRed+1);
+  
+  if (first)
+  {
+    h_mX_SR_kf_reg->GetYaxis()->SetTitle("Normalized Units");
+    h_mX_SR_kf_reg->GetYaxis()->SetTitleOffset(1.4);
+    TH1* tmp = h_mX_SR_kf_reg->DrawNormalized("histo C");
+    tmp->SetMaximum(0.25);  
+    h_mX_SR_kf_reg->SetMaximum(h_mX_SR_kf_reg->GetMaximum()*1.4);
+    TLegend *leg=new TLegend(0.4, 0.75, 0.89, 0.89);
+    leg->SetLineColor(0);
+    leg->SetFillColor(0);
+    leg->AddEntry(h_mX_SR, "m_{X} Signal Peak");
+    leg->AddEntry(h_mX_SR_kf, "m_{X} w/ Kinematic Fit");
+    leg->AddEntry(h_mX_SR_kf_reg, "m_{X} w/ Kinematic Fit + Reg.");
+    leg->Draw();
+    first=false;
+  }
+  else h_mX_SR_kf_reg->DrawNormalized("histo same C");
+  h_mX_SR_kf->DrawNormalized("histo same C");
+  h_mX_SR->DrawNormalized("histo same C");
+  
+  TLine *line=new TLine(xLine, 0, xLine, 0.20);
+  line->Draw();
+  
+}
+
+void Display_SignalKinFitReg()
+{
+  std::vector<TFile*> v_files;  
+  v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root"));
+  v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root"));
+  v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root"));
+  v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root"));  
+  v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root"));
+  v_files.push_back(new TFile("PreselectedWithoutRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root"));
+
+  std::vector<TFile*> v_files_reg;
+  v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root"));
+  v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root"));
+  v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root"));
+  v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root"));
+  v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root"));
+  v_files_reg.push_back(new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root"));
+  TFile *f_data_reg=new TFile("PreselectedWithRegressionDeepCSV/Histograms_Preselected_BTagTotal.root");
+  std::vector <double> mean_gen={300, 450, 600, 800, 1000, 1200};
+ 
+  gROOT->SetStyle("Plain");
+  TStyle *myStyle=setTDRStyle();
+  myStyle->cd();
+  myStyle->SetOptTitle(0);
+  myStyle->SetOptStat(0);
+  
+  //PAS plot
+  TCanvas *c_KinFit=new TCanvas("c_KinFit", "c_KinFit", 1400, 1000);
+  TPad *p_1=new TPad("p_1", "p_1", 0, 0, 1, 1);
+        p_1->SetFillStyle(4000);
+        p_1->SetFrameFillColor(0);
+        p_1->SetBottomMargin(0.10);
+        p_1->SetLeftMargin(0.15);        
+  p_1->Draw();
+  p_1->cd();
+  writeExtraText = true;     
+  extraText  = "Simulation";  
+  lumi_13TeV = ""; 
+
+  std::vector<int> choice = { 0, 1, 2, 3, 4, 5};
+  for (unsigned int i=0; i<choice.size(); ++i)
+  {
+    DisplayKinFitForFile(v_files.at( choice.at(i) ), v_files_reg.at( choice.at(i) ), mean_gen.at( choice.at(i) ) );
+  }
+  CMS_lumi( p_1, iPeriod, iPos );
+  c_KinFit->SaveAs("c_KinFit.pdf");
+  c_KinFit->SaveAs("c_KinFit.png");
+}
+
+ 
diff --git a/DisplaymHmX.cc b/DisplaymHmX.cc
new file mode 100644
index 0000000..b2ca61c
--- /dev/null
+++ b/DisplaymHmX.cc
@@ -0,0 +1,227 @@
+#include <TH1F.h>
+#include <TH2F.h>
+#include <TROOT.h>
+#include <TFile.h>
+#include <TTree.h>
+#include <TSystem.h>
+#include <TChain.h>
+#include <TLorentzVector.h>
+#include <TLegend.h>
+#include <TCanvas.h>
+#include <TProfile.h>
+#include <iostream>
+#include <TFractionFitter.h>
+#include <TStyle.h>
+#include <TPaveText.h>
+#include <THStack.h>
+#include <TArrow.h>
+#include <TArc.h>
+
+#include "TDRStyle.h"
+
+#include "CMS_lumi.c"
+
+double chi_1=1;
+double chi_2=2;
+
+double marg=19;
+
+bool signalpoints=true;
+bool data=false;
+bool ttbar=false;
+bool blind=false; //!!! 
+
+bool first;
+
+std::string itoa(int i) 
+{
+  char res[4];
+  sprintf(res, "%d", i);
+  std::string ret(res);
+  return ret;
+}
+
+// Display histogram for file 
+void DisplayHistogram_mH_forFile(TFile *file, std::string histogramName, int color)
+{
+  TH1F *h=(TH1F*)file->Get(histogramName.c_str());
+  h->Scale(1./h->GetSumOfWeights());
+  h->SetLineColor(color);
+  h->SetLineWidth(2);
+  h->Rebin(2);
+  h->GetXaxis()->SetRangeUser(50, 200);
+  if (first)
+  {
+    h->SetMaximum(h->GetMaximum()*1.2);
+    h->GetYaxis()->SetTitleOffset(1.6);
+    h->Draw("hist");
+    first=false;
+  }
+  h->Draw("hist same");
+}
+
+void Plot_Purity_forFile(TFile *file, TString smass = "600", int mass = 600 )
+{
+  std::vector<int> v_colors = {kRed+1, kRed+3, kGreen+2, kOrange+2, kAzure+1, kAzure+3, kPink+2};//, kGray+2,kBlue+1};
+  std::vector<TString> v_leg = { "Purity = 4",  "Purity = 3",  "Purity = 2",  "Purity = 1",  "Purity = 0",  "Purity = -1" };
+  TCanvas c( "c", "c"+smass ); c.cd();
+  c.SetLogy();
+  std::vector<TString> histogramNames = { "h_mX_SR_purity4", "h_mX_SR_purity3", "h_mX_SR_purity2", "h_mX_SR_purity1", "h_mX_SR_purity0", "h_mX_SR_purity5" };
+  TH1 *h;
+  TLegend *leg=new TLegend(0.6, 0.7, 0.89, 0.89);
+  bool _first = true;
+  for( int i = 0; i < 6; i++ )
+  {
+      h=(TH1F*)file->Get( histogramNames.at(i) );
+      //h->Scale(1./h->GetSumOfWeights());
+      h->SetLineColor( v_colors.at(i) );
+      h->SetLineWidth(2);
+      h->Rebin(10);
+      h->GetXaxis()->SetRangeUser( mass - 250, mass + 250 );
+      leg->AddEntry( h, v_leg.at(i) );
+      if (_first)
+      {
+          h->SetMaximum(h->GetMaximum()*5);
+          h->GetYaxis()->SetTitleOffset(1.6);
+          h->Draw("hist");
+          _first=false;
+      }
+      h->Draw("hist same");
+  }
+  leg->Draw();
+  c.SaveAs( "c_pur_mx"+smass+".pdf" );
+}
+
+
+void drawRegion(bool isData=false, double mean_H1_mass=125, double sigma_H1_mass=20, double mean_H2_mass=125, double sigma_H2_mass=20)
+{
+  TEllipse *circle1=new TEllipse(mean_H1_mass, mean_H2_mass, sigma_H1_mass*chi_1, sigma_H2_mass*chi_1); 
+  circle1->SetLineWidth(3); 
+  circle1->SetLineColor(kBlack);
+  circle1->SetFillColor(kRed);
+  circle1->SetFillStyle(0);
+  if( isData&&blind ) circle1->SetFillStyle(1);
+  circle1->Draw();
+  
+  TEllipse *circle2=new TEllipse(mean_H1_mass, mean_H2_mass, sigma_H1_mass*chi_2, sigma_H2_mass*chi_2, 90., 180.); circle2->SetLineWidth(3); circle2->SetNoEdges(); circle2->SetLineColor(kBlack); circle2->SetFillStyle(0); circle2->Draw();
+  TEllipse *circle3=new TEllipse(mean_H1_mass, mean_H2_mass, sigma_H1_mass*chi_2, sigma_H2_mass*chi_2, 270., 360.); circle3->SetLineWidth(3); circle3->SetNoEdges(); circle3->SetLineColor(kBlack); circle3->SetFillStyle(0); circle3->Draw();
+  TLine *line1=new TLine(mean_H1_mass-sigma_H1_mass*chi_2, mean_H2_mass, mean_H1_mass-sigma_H1_mass*chi_1, mean_H2_mass); line1->SetLineWidth(3); line1->SetLineColor(kBlack); line1->Draw();
+  TLine *line2=new TLine(mean_H1_mass+sigma_H1_mass*chi_2, mean_H2_mass, mean_H1_mass+sigma_H1_mass*chi_1, mean_H2_mass); line2->SetLineWidth(3); line2->SetLineColor(kBlack); line2->Draw();
+  TLine *line3=new TLine(mean_H1_mass, mean_H2_mass-sigma_H2_mass*chi_2, mean_H1_mass, mean_H2_mass-sigma_H2_mass*chi_1); line3->SetLineWidth(3); line3->SetLineColor(kBlack); line3->Draw();
+  TLine *line4=new TLine(mean_H1_mass, mean_H2_mass+sigma_H2_mass*chi_2, mean_H1_mass, mean_H2_mass+sigma_H2_mass*chi_1); line4->SetLineWidth(3); line4->SetLineColor(kBlack); line4->Draw();
+  
+  TArrow *arrow1=new TArrow(mean_H1_mass, mean_H2_mass+sigma_H2_mass*chi_2*3., mean_H1_mass, mean_H2_mass, 0.02); arrow1->SetLineWidth(3); arrow1->SetLineColor(kBlack); arrow1->Draw();
+  TPaveText *mod1=new TPaveText(mean_H1_mass-marg, mean_H2_mass+sigma_H2_mass*chi_2*3.-marg, mean_H1_mass+marg, mean_H2_mass+sigma_H2_mass*chi_2*3+marg);
+  mod1->SetBorderSize(0); mod1->SetFillColor(0); mod1->AddText("SR"); mod1->SetLineColor(kBlack); mod1->Draw("ARC");
+  TArrow *arrow2_1=new TArrow(mean_H1_mass+sigma_H1_mass*chi_2*2.5, mean_H2_mass, mean_H1_mass-sigma_H1_mass*chi_2/2., mean_H2_mass+sigma_H2_mass*chi_2/2., 0.02); arrow2_1->SetLineWidth(3); arrow2_1->SetLineColor(kBlack);     
+  TArrow *arrow2_2=new TArrow(mean_H1_mass+sigma_H1_mass*chi_2*2.5, mean_H2_mass, mean_H1_mass+sigma_H1_mass*chi_2/2., mean_H2_mass-sigma_H2_mass*chi_2/2., 0.02); arrow2_2->SetLineWidth(3); arrow2_2->SetLineColor(kBlack);
+  TLine *arrow2_3=new TLine(mean_H1_mass+sigma_H1_mass*chi_2*2.5, mean_H2_mass, mean_H1_mass+sigma_H1_mass*chi_2*3., mean_H2_mass); arrow2_3->SetLineWidth(3); arrow2_3->SetLineColor(kBlack);
+  arrow2_1->Draw(); arrow2_2->Draw(); arrow2_3->Draw();
+  TPaveText *mod2=new TPaveText(mean_H1_mass+sigma_H1_mass*chi_2*3.-marg, mean_H2_mass+marg, mean_H1_mass+sigma_H1_mass*chi_2*3.+marg, mean_H2_mass-marg);
+
+  mod2->SetBorderSize(0); mod2->SetFillColor(0); mod2->AddText("SB"); mod2->SetLineColor(kBlack); mod2->Draw("ARC");
+  
+}
+
+void DisplaymH1vsmH2_ForFile(TFile *file, bool isData=false, double mean_H1_mass=125, double sigma_H1_mass=20, double mean_H2_mass=125, double sigma_H2_mass=20)
+{
+  TH2F *h_mH1_mH2_asym=(TH2F*)file->Get("h_mH1_mH2_asym");
+  h_mH1_mH2_asym->RebinX(4);
+  h_mH1_mH2_asym->RebinY(4);
+  h_mH1_mH2_asym->GetYaxis()->SetTitleOffset(1.5);
+  h_mH1_mH2_asym->Draw("box");
+  
+  drawRegion(isData, mean_H1_mass, sigma_H1_mass, mean_H1_mass, sigma_H1_mass);
+}
+
+void DisplaymHmX(std::vector<std::string> files, std::vector<double> mean_gen,  double mean_H1_mass, double sigma_H1_mass, double mean_H2_mass, double sigma_H2_mass)
+{
+  std::vector<TFile*> v_files;
+  for (unsigned int i=0; i<files.size(); ++i) v_files.push_back(new TFile(files.at(i).c_str()));
+  TFile *f_data=new TFile("Histograms_LMR_BTagTotal.root");
+  //TFile *f_data=new TFile("Histograms_MMR_BTagTotal.root");
+  std::vector<int> v_colors = {kRed+1, kRed+3, kGreen+2, kOrange+2, kAzure+1, kAzure+3, kPink+2};//, kGray+2,kBlue+1};
+  
+  gROOT->SetStyle("Plain");
+  TStyle *myStyle=setTDRStyle();
+  myStyle->cd();
+  myStyle->SetOptTitle(0);
+  myStyle->SetOptStat(0);
+  
+  TLegend *leg=new TLegend(0.6, 0.7, 0.89, 0.89);
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    TH1F *h_pTOrder_JetpT_1=(TH1F*)v_files.at(i)->Get("h_pTOrder_JetpT_1");
+    h_pTOrder_JetpT_1->SetLineColor(v_colors.at(i));
+    h_pTOrder_JetpT_1->SetLineWidth(2);
+    leg->AddEntry(h_pTOrder_JetpT_1, ("Signal m_{X} = "+itoa(mean_gen.at(i))+" GeV").c_str());
+  }
+  h_pTOrder_JetpT_1=(TH1F*)f_data->Get("h_pTOrder_JetpT_1");
+  h_pTOrder_JetpT_1->SetLineColor(kBlack);
+  h_pTOrder_JetpT_1->SetLineWidth(2);
+  leg->AddEntry(h_pTOrder_JetpT_1, "13 TeV Data");
+  /*h_pTOrder_JetpT_1=(TH1F*)f_ttbar->Get("h_pTOrder_JetpT_1");
+  h_pTOrder_JetpT_1->SetLineColor(kRed);
+  h_pTOrder_JetpT_1->SetLineWidth(2);
+  leg->AddEntry(h_pTOrder_JetpT_1, "t#bar{t}");*/
+
+  // Plot mH1
+  first=true;
+  TCanvas *c_H1_mass=new TCanvas("c_H1_mass", "c_H1_mass", 700, 700);
+
+  for (int i=v_files.size()-1; i>=0; --i)
+  {
+   //  std::cout<<" here "<<std::endl;	
+    DisplayHistogram_mH_forFile(v_files.at(i), "h_H1_mass", v_colors.at(i));
+  }
+ //  DisplayHistogram_mH_forFile(f_data, "h_H1_mass", kBlack);
+  //DisplayHistogram_mH_forFile(f_ttbar, "h_H1_mass", kRed);
+  leg->Draw();
+  c_H1_mass->SaveAs("c_H1_mass.png");
+  delete c_H1_mass;
+ // std::cout<<" here "<<std::endl; 
+  // Plot mH2
+  first=true;
+  TCanvas *c_H2_mass=new TCanvas("c_H2_mass", "c_H2_mass", 700, 700);
+  for (int i=v_files.size()-1; i>=0; --i)
+  {
+    DisplayHistogram_mH_forFile(v_files.at(i), "h_H2_mass", v_colors.at(i));
+  }
+  // DisplayHistogram_mH_forFile(f_data, "h_H2_mass", kBlack);
+  //DisplayHistogram_mH_forFile(f_ttbar, "h_H2_mass", kRed);
+  leg->Draw();
+  c_H2_mass->SaveAs("c_H2_mass.png");
+  delete c_H2_mass;
+  
+ // Plot mH1
+
+  for (int i=v_files.size()-1; i>=0; --i)
+  {
+   //  std::cout<<" here "<<std::endl;	
+    //Plot_Purity_forFile(v_files.at(i), s_mean_gen.at(i), mean_gen.at(i) );//, "h_mX_SR_purity0", v_colors.at(i));
+  }
+
+
+
+  // Plot mH1 vs mH2
+  writeExtraText = true;       // if extra text
+	extraText  = "Preliminary";  // default extra text is "Preliminary"
+	lumi_13TeV  = "35.9 fb^{-1}";  // default is "5.1 fb^{-1}"
+  for (unsigned int i=0; i<v_files.size(); ++i)
+  {
+    TCanvas *c_mH1_mH2_asym=new TCanvas("c_mH1_mH2_asym", "c_mH1_mH2_asym", 700, 700);
+    DisplaymH1vsmH2_ForFile(v_files.at(i), false, mean_H1_mass, sigma_H1_mass, mean_H2_mass, sigma_H2_mass);
+    CMS_lumi(c_mH1_mH2_asym, 4, 11, false );
+    c_mH1_mH2_asym->SaveAs(("c_mH1_mH2_asym_"+files.at(i)+".png").c_str());
+    delete c_mH1_mH2_asym;
+  }
+  TCanvas *c_mH1_mH2_asym_Data=new TCanvas("c_mH1_mH2_asym_Data", "c_mH1_mH2_asym_Data", 700, 700);
+  DisplaymH1vsmH2_ForFile(f_data, true, mean_H1_mass, sigma_H1_mass, mean_H2_mass, sigma_H2_mass);
+  CMS_lumi(c_mH1_mH2_asym_Data, 4, 11);
+  c_mH1_mH2_asym_Data->SaveAs("c_mH1_mH2_asym_Data.png");
+  c_mH1_mH2_asym_Data->SaveAs("c_mH1_mH2_asym_Data.pdf");
+  delete c_mH1_mH2_asym_Data;
+ 
+}    
+  
+
diff --git a/DrawLimitPlot.cc b/DrawLimitPlot.cc
index 0c09268..362a63a 100644
--- a/DrawLimitPlot.cc
+++ b/DrawLimitPlot.cc
@@ -1,4 +1,5 @@
 #include <TROOT.h>
+#include "TSystem.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <iostream>
@@ -256,8 +257,6 @@ void DrawLimitPlot(std::vector<double> mass, double ymin, double ymax, std::stri
 	double xsec[nPoints], xsecNeg1[nPoints], xsecPos1[nPoints], xsecNeg2[nPoints], xsecPos2[nPoints];
 	double obs[nPoints];
 	double expNeg2[nPoints], expNeg1[nPoints], expPos1[nPoints], expPos2[nPoints];
-	// double mass[nPoints]={400, 600, 800, 1000, 1200};
-	// double mass[nPoints]={400, 450, 500, 550, 600, 650, 700, 800, 900, 1000, 1100};
 
 	for (unsigned int i=0; i<nPoints; ++i)
 	{
@@ -269,9 +268,22 @@ void DrawLimitPlot(std::vector<double> mass, double ymin, double ymax, std::stri
 		std::ifstream file(filename.c_str(), ios::in);
 		std::cout<<"Opened file "<<filename<<std::endl;
 		std::string line;
-		getline(file, line);
-		getline(file, line);
-		getline(file, line);
+                bool found= false;
+
+                while (!found && !file.eof() && !gSystem->AccessPathName(filename.c_str())) {
+
+                          getline(file, line);
+
+                          std::size_t pos = line.find("-- Asymptotic --");  
+
+                          if (pos!=std::string::npos){
+
+                          found=true;
+
+                          }
+
+                }
+
 
 		getline(file, line); obs[i]=atof(line.substr(line.find("<")+1).c_str())*norm;
 		getline(file, line); xsecNeg2[i]=atof(line.substr(line.find("<")+1).c_str())*norm;
@@ -286,8 +298,9 @@ void DrawLimitPlot(std::vector<double> mass, double ymin, double ymax, std::stri
 		expPos2[i]=xsecPos2[i]-xsec[i];
 
 		// std::cout<<"obs="<<obs[i]<<", exp="<<xsec[i]<<", -1sigma = "<<expNeg1[i]<<", +1sigma = "<<expPos1[i]<<std::endl;
-		std::cout<<"mX = "<<mass_string<<", obs = "<<obs[i]<<", exp limit ="<<xsec[i]<<", -1 sigma = "<<expNeg1[i]<<", +1 sigma = "<<expPos1[i]<<std::endl;
-		std::cout<<mass_string<<" &  "<<obs[i]<<" & "<<xsec[i]<<" & "<<expNeg1[i]<<" & "<<expPos1[i]<<" \\\\" <<std::endl;
+		//std::cout<<"mX = "<<mass_string<<", obs = "<<obs[i]<<", exp limit ="<<xsec[i]<<", -1 sigma = "<<expNeg1[i]<<", +1 sigma = "<<expPos1[i]<<std::endl;
+		//std::cout<<mass_string<<" &  "<<obs[i]<<" & "<<xsec[i]<<" & "<<expNeg1[i]<<" & "<<expPos1[i]<<" \\\\" <<std::endl;
+                std::cout<<mass_string<<" & "<<xsec[i]<<" \\\\" <<std::endl;  
 		// std::cout<<mass_string<<" & "<<xsec[i]<<" & "<<expNeg1[i]<<" & "<<expPos1[i]<<" & "<<expNeg2[i]<<" & "<<expPos2[i]<<" \\\\ "<<std::endl;
 
 	}
@@ -378,6 +391,34 @@ std::vector<double> br_hh={//32.552,593.385,959.755,573.531,308.096,162.880,89.1
 	0.00464996849485267,   
 	0.004672514523079795
 	};
+
+	// Radion curve
+	std::vector<double> masses_radion={
+	260,  
+		   300,
+		   400,
+		   500,
+		   600,
+		   700,
+		   750,
+		   800,
+		   900,
+         	   1000,
+                   1500};
+
+    std::vector<double> x_radion{
+    10.314910442540885,	
+    7.20114376233762,	
+    3.369927115848731,	
+    1.962250361817225,	
+    1.235987766884442,	
+    0.8043402650432466,	
+    0.6557538821852814,	
+    0.5434525134607641,	
+    0.3735615328391298,	
+    0.2618915924170746,	
+    0.054417137017588976};
+
 // Multiply graviton x-sec with appropriate Br(G->HH)*Br(H->bb)^2 * (k'/k)^2
 for(int i=0; i<masses_graviton.size(); ++i) 
 {
@@ -385,20 +426,24 @@ for(int i=0; i<masses_graviton.size(); ++i)
 	std::cout<<"Graviton mass = "<<masses_graviton[i]<<", x-sec = "<<x_graviton[i]<<std::endl;
 }
 
+
+
 //TGraph *g_graviton=new TGraph(masses_graviton.size(), &(masses_graviton[0]), &(x_graviton[0])); g_graviton->SetLineWidth(2); g_graviton->SetLineColor(kBlue+1); g_graviton->SetFillColor(kWhite);
 
-// Graviton curve
+// Graviton curve from github
 std::vector<double> masses_graviton_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
 std::vector<double> x_graviton_new={6.87e+00, 1.36e+02, 2.32e+02, 1.23e+02, 5.73e+01, 2.84e+01, 2.04e+01, 1.50e+01, 8.16e+00, 4.74e+00, 3.00e+00, 1.90e+00, 1.20e+00, 7.63e-01, 4.83e-01};
+//Radion curve from github
+std::vector<double> masses_radion_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
+std::vector<double> x_radion_new={7.64e+03, 7.13e+03, 2.92e+03, 1.50e+03, 9.08e+02, 5.84e+02, 4.74e+02, 3.93e+02, 2.70e+02, 1.90e+02, 1.38e+02, 1.01e+02, 7.38e+01, 5.39e+01, 3.93e+01};
 
 
 TGraph *g_graviton=new TGraph(masses_graviton_new.size(), &(masses_graviton_new[0]), &(x_graviton_new[0])); g_graviton->SetLineWidth(2); g_graviton->SetLineColor(kBlue+1); g_graviton->SetFillColor(kWhite);
-
+TGraph *g_radion=new TGraph(masses_radion_new.size(), &(masses_radion_new[0]), &(x_radion_new[0])); g_radion->SetLineWidth(2); g_radion->SetLineColor(kBlue+1); g_radion->SetFillColor(kWhite);
+TStyle *tdrStyle=setTDRStyle();
 gROOT->SetStyle("Plain");
-// gStyle->>SetOptStat(000000000);
 
-TStyle *tdrStyle=setTDRStyle();
-//tdrStyle->cd();
+
 
 TGraphErrors *g_xsec=new TGraphErrors(nPoints, &(mass[0]), xsec);
 g_xsec->SetTitle("; m_{X} (GeV); #sigma(pp#rightarrowX) #times Br(X#rightarrowH(b#bar{b}) H(b#bar{b})) (fb)");
@@ -436,6 +481,7 @@ g_xsec->Draw("L");
 g_obs->SetMarkerStyle(20);	
 //g_obs->Draw("LP SAME");
 g_graviton->Draw("C same");
+//g_radion->Draw("C same");
 TLegend *leg=new TLegend(0.45, 0.65, 0.9, 0.85);
 // TLegend *leg=new TLegend(0.45, 0.5, 0.9, 0.7);
 leg->SetFillStyle(1); leg->SetFillColor(kWhite);
@@ -444,6 +490,7 @@ leg->AddEntry(g_xsec_1sigma, "Expected #pm 1 #sigma", "F");
 leg->AddEntry(g_xsec_2sigma, "Expected #pm 2 #sigma", "F");
 //leg->AddEntry(g_obs, "Observed Upper Limit", "LP");
 leg->AddEntry(g_graviton,"Bulk Graviton k=0.1","L");	
+//leg->AddEntry(g_radion,"Bulk Radion #lambda= 1 TeV, kl=35","L");	
 leg->SetFillColor(kWhite);
 leg->SetFillStyle(0);
 leg->SetTextSize(0.03);
diff --git a/DrawLimitPlot_All.cc b/DrawLimitPlot_All.cc
new file mode 100644
index 0000000..76b7828
--- /dev/null
+++ b/DrawLimitPlot_All.cc
@@ -0,0 +1,626 @@
+#include <TROOT.h>
+#include "TSystem.h"
+#include <stdlib.h>
+#include <stdio.h>
+#include <iostream>
+#include <fstream>
+#include "TGraphAsymmErrors.h"
+#include "TGraphErrors.h"
+#include "TCanvas.h"
+#include "TLegend.h"
+#include "TFile.h"
+#include "TAxis.h"
+#include "TLatex.h"
+#include "../../TDRStyle.h"
+#include "../../CMS_lumi.h"
+#include <iostream>
+int iPeriod = 4;    // 1=7TeV, 2=8TeV, 3=7+8TeV, 7=7+8+13TeV 
+int iPos = 11;
+
+void 
+CMS_lumi( TPad* pad, int iPeriod, int iPosX )
+{            
+  bool outOfFrame    = false;
+  if( iPosX/10==0 ) 
+    {
+      outOfFrame = true;
+    }
+  int alignY_=3;
+  int alignX_=2;
+  if( iPosX/10==0 ) alignX_=1;
+  if( iPosX==0    ) alignX_=1;
+  if( iPosX==0    ) alignY_=1;
+  if( iPosX/10==1 ) alignX_=1;
+  if( iPosX/10==2 ) alignX_=2;
+  if( iPosX/10==3 ) alignX_=3;
+  if( iPosX == 0  ) relPosX = 0.14;
+  int align_ = 10*alignX_ + alignY_;
+
+  float H = pad->GetWh();
+  float W = pad->GetWw();
+  float l = pad->GetLeftMargin();
+  float t = pad->GetTopMargin();
+  float r = pad->GetRightMargin();
+  float b = pad->GetBottomMargin();
+
+  pad->cd();
+
+  TString lumiText;
+  if( iPeriod==1 )
+    {
+      lumiText += lumi_7TeV;
+      lumiText += " (7 TeV)";
+    }
+  else if ( iPeriod==2 )
+    {
+      lumiText += lumi_8TeV;
+      lumiText += " (8 TeV)";
+    }
+  else if( iPeriod==3 ) 
+    {
+      lumiText = lumi_8TeV; 
+      lumiText += " (8 TeV)";
+      lumiText += " + ";
+      lumiText += lumi_7TeV;
+      lumiText += " (7 TeV)";
+    }
+  else if ( iPeriod==4 )
+    {
+      lumiText += lumi_13TeV;
+      lumiText += " (13 TeV)";
+    }
+  else if ( iPeriod==7 )
+    { 
+      if( outOfFrame ) lumiText += "#scale[0.85]{";
+      lumiText += lumi_13TeV; 
+      lumiText += " (13 TeV)";
+      lumiText += " + ";
+      lumiText += lumi_8TeV; 
+      lumiText += " (8 TeV)";
+      lumiText += " + ";
+      lumiText += lumi_7TeV;
+      lumiText += " (7 TeV)";
+      if( outOfFrame) lumiText += "}";
+    }
+  else if ( iPeriod==12 )
+    {
+      lumiText += "8 TeV";
+    }
+  else if ( iPeriod==0 )
+    {
+      lumiText += lumi_sqrtS;
+    }
+   
+  std::cout << lumiText << endl;
+
+  TLatex latex;
+  latex.SetNDC();
+  latex.SetTextAngle(0);
+  latex.SetTextColor(kBlack);    
+
+  float extraTextSize = extraOverCmsTextSize*cmsTextSize;
+
+  latex.SetTextFont(42);
+  latex.SetTextAlign(31); 
+  latex.SetTextSize(lumiTextSize*t);    
+  latex.DrawLatex(1-r,1-t+lumiTextOffset*t,lumiText);
+
+  if( outOfFrame )
+    {
+      latex.SetTextFont(cmsTextFont);
+      latex.SetTextAlign(11); 
+      latex.SetTextSize(cmsTextSize*t);    
+      latex.DrawLatex(l,1-t+lumiTextOffset*t,cmsText);
+    }
+  
+  pad->cd();
+
+  float posX_=0;
+  if( iPosX%10<=1 )
+    {
+      posX_ =   l + relPosX*(1-l-r);
+    }
+  else if( iPosX%10==2 )
+    {
+      posX_ =  l + 0.5*(1-l-r);
+    }
+  else if( iPosX%10==3 )
+    {
+      posX_ =  1-r - relPosX*(1-l-r);
+    }
+  float posY_ = 1-t - relPosY*(1-t-b);
+  if( !outOfFrame )
+    {
+      if( drawLogo )
+	{
+	  posX_ =   l + 0.045*(1-l-r)*W/H;
+	  posY_ = 1-t - 0.045*(1-t-b);
+	  float xl_0 = posX_;
+	  float yl_0 = posY_ - 0.15;
+	  float xl_1 = posX_ + 0.15*H/W;
+	  float yl_1 = posY_;
+	  TASImage* CMS_logo = new TASImage("CMS-BW-label.png");
+	  TPad* pad_logo = new TPad("logo","logo", xl_0, yl_0, xl_1, yl_1 );
+	  pad_logo->Draw();
+	  pad_logo->cd();
+	  CMS_logo->Draw("X");
+	  pad_logo->Modified();
+	  pad->cd();
+	}
+      else
+	{
+	  latex.SetTextFont(cmsTextFont);
+	  latex.SetTextSize(cmsTextSize*t);
+	  latex.SetTextAlign(align_);
+	  latex.DrawLatex(posX_, posY_, cmsText);
+	  if( writeExtraText ) 
+	    {
+	      latex.SetTextFont(extraTextFont);
+	      latex.SetTextAlign(align_);
+	      latex.SetTextSize(extraTextSize*t);
+	      latex.DrawLatex(posX_, posY_- relExtraDY*cmsTextSize*t, extraText);
+	    }
+	}
+    }
+  else if( writeExtraText )
+    {
+      if( iPosX==0) 
+	{
+	  posX_ =   l +  relPosX*(1-l-r);
+	  posY_ =   1-t+lumiTextOffset*t;
+	}
+      latex.SetTextFont(extraTextFont);
+      latex.SetTextSize(extraTextSize*t);
+      latex.SetTextAlign(align_);
+      latex.DrawLatex(posX_, posY_, extraText);      
+    }
+  return;
+}
+
+
+std::string itoa(int i) 
+{
+  char res[4];
+  sprintf(res, "%d", i);
+  std::string ret(res);
+  return ret;
+}
+
+void DrawLimitPlot_All(std::vector<double> mass_1,
+	std::vector<double> mass_2,
+	std::vector<double> mass_3, 
+	double ymin, double ymax, 
+	std::string background_1,
+	std::string background_2,
+	std::string background_3){
+	    gStyle->SetTitleOffset(1.2,"Y");
+		gStyle->SetPadLeftMargin(0.18);
+		gStyle->SetPadBottomMargin(0.15);
+		gStyle->SetPadTopMargin(0.08);
+		gStyle->SetPadRightMargin(0.05);
+		gStyle->SetMarkerSize(0.5);
+		gStyle->SetHistLineWidth(1);
+		gStyle->SetStatFontSize(0.020);
+		gStyle->SetTitleSize(0.06, "XYZ");
+		gStyle->SetLabelSize(0.05, "XYZ");
+		gStyle->SetNdivisions(510, "XYZ");
+		gStyle->SetLegendBorderSize(0);
+		gStyle->SetPadBorderMode(0);
+		gStyle->SetFrameBorderMode(0);
+		gStyle->SetPadBottomMargin(0.12);
+		gStyle->SetPadLeftMargin(0.12);
+		gStyle->SetCanvasColor(kWhite);
+		gStyle->SetCanvasDefH(600);
+		gStyle->SetCanvasDefW(600);
+		gStyle->SetCanvasDefX(0);
+		gStyle->SetCanvasDefY(0);
+
+		gStyle->SetPadTopMargin(0.05);
+		gStyle->SetPadBottomMargin(0.15);
+		gStyle->SetPadLeftMargin(0.15);
+		gStyle->SetPadRightMargin(0.05);
+
+		gStyle->SetPadBorderMode(0);
+		gStyle->SetPadColor(kWhite);
+		gStyle->SetGridColor(0);
+		gStyle->SetGridStyle(3);
+		gStyle->SetGridWidth(1);
+
+		gStyle->SetFrameBorderMode(0);
+		gStyle->SetFrameBorderSize(1);
+		gStyle->SetFrameFillColor(0);
+		gStyle->SetFrameFillStyle(0);
+		gStyle->SetFrameLineColor(1);
+		gStyle->SetFrameLineStyle(1);
+		gStyle->SetFrameLineWidth(1);
+
+		gStyle->SetTitleColor(1, "XYZ");
+		gStyle->SetTitleFont(42, "XYZ");
+		gStyle->SetTitleSize(0.05, "XYZ");
+		gStyle->SetTitleXOffset(1.15);
+		gStyle->SetTitleYOffset(1.3) ;
+		gStyle->SetLabelColor(1, "XYZ");
+		gStyle->SetLabelFont(42, "XYZ");
+		gStyle->SetLabelOffset(0.007, "XYZ");
+		gStyle->SetLabelSize(0.045, "XYZ");
+
+		gStyle->SetPadBorderMode(0);
+		gStyle->SetFrameBorderMode(0);
+		gStyle->SetTitleTextColor(1);
+		gStyle->SetTitleFillColor(10);
+		gStyle->SetTitleFontSize(0.05);
+
+        writeExtraText = true;       
+	    extraText  = "Preliminary";  
+	    lumi_13TeV  = "35.9 fb^{-1}";
+
+	// LMR1 definitions
+	const unsigned int nPoints_1=mass_1.size();
+	double xsec_1[nPoints_1], xsecNeg1_1[nPoints_1], xsecPos1_1[nPoints_1], xsecNeg2_1[nPoints_1], xsecPos2_1[nPoints_1];
+	double obs_1[nPoints_1];
+	double expNeg2_1[nPoints_1], expNeg1_1[nPoints_1], expPos1_1[nPoints_1], expPos2_1[nPoints_1];
+	double norm_1=1000;
+	// LMR2 definitions
+	const unsigned int nPoints_2=mass_2.size();
+	double xsec_2[nPoints_2], xsecNeg1_2[nPoints_2], xsecPos1_2[nPoints_2], xsecNeg2_2[nPoints_2], xsecPos2_2[nPoints_2];
+	double obs_2[nPoints_2];
+	double expNeg2_2[nPoints_2], expNeg1_2[nPoints_2], expPos1_2[nPoints_2], expPos2_2[nPoints_2];
+	double norm_2=1000;
+	// MMR1 definitions
+	const unsigned int nPoints_3=mass_3.size();
+	double xsec_3[nPoints_3], xsecNeg1_3[nPoints_3], xsecPos1_3[nPoints_3], xsecNeg2_3[nPoints_3], xsecPos2_3[nPoints_3];
+	double obs_3[nPoints_3];
+	double expNeg2_3[nPoints_3], expNeg1_3[nPoints_3], expPos1_3[nPoints_3], expPos2_3[nPoints_3];
+	double norm_3=2;	
+
+        // LMR1 LOOP
+	for (unsigned int i=0; i<nPoints_1; ++i)
+	{
+		std::string mass_string_1=itoa(mass_1[i]);
+		std::string filename_1;
+		filename_1="LMR/LMR_"+mass_string_1+"_"+background_1+"/CMS_HH4b_"+mass_string_1+"_13TeV_asymptoticCLs.out";
+		std::ifstream file_1(filename_1.c_str(), ios::in);
+		std::string line_1;
+        bool found_1= false;
+        while (!found_1 && !file_1.eof() && !gSystem->AccessPathName(filename_1.c_str())) {
+                          getline(file_1, line_1);
+                          std::size_t pos = line_1.find("-- Asymptotic --");  
+                          if (pos!=std::string::npos){
+                          found_1=true;
+                          }
+        }
+		getline(file_1, line_1); obs_1[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsecNeg2_1[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsecNeg1_1[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsec_1[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsecPos1_1[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsecPos2_1[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		expNeg2_1[i]=xsec_1[i]-xsecNeg2_1[i];
+		expNeg1_1[i]=xsec_1[i]-xsecNeg1_1[i];
+		expPos1_1[i]=xsecPos1_1[i]-xsec_1[i];
+		expPos2_1[i]=xsecPos2_1[i]-xsec_1[i];
+                cout<<mass_string_1<<" & "<<obs_1[i]<<" & "<<xsec_1[i]<<" & "<<expNeg1_1[i]<<" & "<<expPos1_1[i]<<" \\\\"<<endl; 
+	}
+
+        // LMR2 LOOP
+	for (unsigned int i=0; i<nPoints_2; ++i)
+	{
+		std::string mass_string_2=itoa(mass_2[i]);
+		std::string filename_2;
+		filename_2="LMR/LMR_"+mass_string_2+"_"+background_2+"/CMS_HH4b_"+mass_string_2+"_13TeV_asymptoticCLs.out";
+		std::ifstream file_2(filename_2.c_str(), ios::in);
+		std::string line_2;
+        bool found_2= false;
+        while (!found_2 && !file_2.eof() && !gSystem->AccessPathName(filename_2.c_str())) {
+                          getline(file_2, line_2);
+                          std::size_t pos = line_2.find("-- Asymptotic --");  
+                          if (pos!=std::string::npos){
+                          found_2=true;
+                          }
+        }
+		getline(file_2, line_2); obs_2[i]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsecNeg2_2[i]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsecNeg1_2[i]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsec_2[i]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsecPos1_2[i]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsecPos2_2[i]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		expNeg2_2[i]=xsec_2[i]-xsecNeg2_2[i];
+		expNeg1_2[i]=xsec_2[i]-xsecNeg1_2[i];
+		expPos1_2[i]=xsecPos1_2[i]-xsec_2[i];
+		expPos2_2[i]=xsecPos2_2[i]-xsec_2[i];
+                cout<<mass_string_2<<" & "<<obs_2[i]<<" & "<<xsec_2[i]<<" & "<<expNeg1_2[i]<<" & "<<expPos1_2[i]<<" \\\\"<<endl;
+
+
+	}	
+
+        // MMR1 LOOP
+	for (unsigned int i=0; i<nPoints_3; ++i)
+	{
+		std::string mass_string_3=itoa(mass_3[i]);
+		std::string filename_3;
+		filename_3="MMR/MMR_"+mass_string_3+"_"+background_3+"/CMS_HH4b_"+mass_string_3+"_13TeV_asymptoticCLs.out";
+		std::ifstream file_3(filename_3.c_str(), ios::in);
+		std::string line_3;
+        bool found_3= false;
+        while (!found_3 && !file_3.eof() && !gSystem->AccessPathName(filename_3.c_str())) {
+                          getline(file_3, line_3);
+                          std::size_t pos = line_3.find("-- Asymptotic --");  
+                          if (pos!=std::string::npos){
+                          found_3=true;
+                          }
+        }
+		getline(file_3, line_3); obs_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsecNeg2_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsecNeg1_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsec_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsecPos1_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsecPos2_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		expNeg2_3[i]=xsec_3[i]-xsecNeg2_3[i];
+		expNeg1_3[i]=xsec_3[i]-xsecNeg1_3[i];
+		expPos1_3[i]=xsecPos1_3[i]-xsec_3[i];
+		expPos2_3[i]=xsecPos2_3[i]-xsec_3[i];
+                cout<<mass_string_3<<" & "<<obs_3[i]<<" & "<<xsec_3[i]<<" & "<<expNeg1_3[i]<<" & "<<expPos1_3[i]<<" \\\\"<<endl;
+	}
+
+	// Graviton curve
+	std::vector<double> masses_graviton={
+	260,  
+		300,  
+		350,  
+		400,  
+		450,  
+		500,  
+		550,  
+		600,  
+		650,  
+		700,  
+		750,  
+		800,  
+		850,  
+		900,
+		950,  
+		1000,
+		1050,
+		1100,
+		1150,
+		1200,
+		1250,
+		1300,
+		1350,
+		1400,
+		1450,
+		1500};
+
+std::vector<double> x_graviton{
+	13189.5110556213,
+		7213.724953,
+		3724.152306612245,
+		2074.118283562500,
+		1220.908845777777,
+		756.0527086799999,
+		484.2628197024792,
+		321.127891575,
+		219.297103860355, 
+		152.2164810122449,
+		108.4982254720000,
+		78.4962635203125 ,
+		57.88419000415223,
+		43.08418917777778,
+		32.69710000221605,
+		24.96632111100000,
+		19.26116379591836,
+		15.04592709917355,
+		11.87132725293005,
+		9.391763225,
+		7.510401695231998,
+		6.032381149171598,
+		4.878695042469133,
+		3.980540729387755,
+		3.259530744827586,
+		2.6789518692	
+};
+
+std::vector<double> br_hh={
+7.875333606243001e-6,
+	0.0002609363907507743,
+	0.0008527793007645482 , 
+	0.0014748453016228675,
+	0.00202120813640487,
+	0.0024744221679741125,
+	0.002843812476091045,
+	0.003144265384982541,
+	0.0033897489806557304,
+	0.0035917787224510177, 
+	0.003759423688146881,
+	0.0038997130095539006, 
+	0.004018077826392619,
+	0.004118727164348574,   
+	0.004204942476367313,   
+	0.00427930100894505,   
+	0.004343843097937954, 
+	0.004400197131035117,  
+	0.004449673107888205,
+	0.0044933330427632395, 
+	0.00453204428524029 , 
+	0.004566520194709918,   
+	0.004597351400961763, 
+	0.004625030011213332, 
+	0.00464996849485267,   
+	0.004672514523079795
+	};
+
+	// Radion curve
+	std::vector<double> masses_radion={
+	260,  
+		300,
+		400,
+		500,
+		600,
+		700,
+		750,
+		800,
+		900,
+	   1000,
+       1500};
+
+    std::vector<double> x_radion{
+    10.314910442540885,	
+    7.20114376233762,	
+    3.369927115848731,	
+    1.962250361817225,	
+    1.235987766884442,	
+    0.8043402650432466,	
+    0.6557538821852814,	
+    0.5434525134607641,	
+    0.3735615328391298,	
+	0.2618915924170746,	
+	0.054417137017588976};
+
+/*
+// Multiply graviton x-sec with appropriate Br(G->HH)*Br(H->bb)^2 * (k'/k)^2
+for(int i=0; i<masses_graviton.size(); ++i) 
+{
+	x_graviton[i]=x_graviton[i]*br_hh[i]*(0.57*0.57)*1000. ; 
+}
+
+// Multiply graviton x-sec with appropriate Br(G->HH)*Br(H->bb)^2 * (k'/k)^2
+for(int i=0; i<masses_radion.size(); ++i) 
+{
+	x_radion[i]=x_radion[i]*0.23*(0.57*0.57)*1000.; 
+}
+*/
+
+// Graviton curve K=0.1 from github reference (scale from 0.5 to 0.1)
+std::vector<double> masses_graviton_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
+std::vector<double> x_graviton_new={0.2748, 5.44, 9.28, 4.92, 2.29, 1.14, 0.08, 0.6, 0.33, 0.19, 0.12, 0.08, 0.05, 0.03, 0.02};
+//Radion curve from github reference
+std::vector<double> masses_radion_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
+std::vector<double> x_radion_new={7.64e+03, 7.13e+03, 2.92e+03, 1.50e+03, 9.08e+02, 5.84e+02, 4.74e+02, 3.93e+02, 2.70e+02, 1.90e+02, 1.38e+02, 1.01e+02, 7.38e+01, 5.39e+01, 3.93e+01};
+//Radion curve divided by 9 from github reference
+std::vector<double> masses_radion_new2={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
+std::vector<double> x_radion_new2={848.88, 792.22, 324.44, 166.66, 100.88, 64.88, 52.66, 43.66, 30.0, 21.11, 15.33, 11.22, 8.20, 5.98, 4.36};
+
+TGraph *g_graviton=new TGraph(masses_graviton_new.size(), &(masses_graviton_new[0]), &(x_graviton_new[0])); g_graviton->SetLineWidth(2); g_graviton->SetLineColor(kBlue+1); g_graviton->SetFillColor(kWhite);
+TGraph *g_radion=new TGraph(masses_radion_new.size(), &(masses_radion_new[0]), &(x_radion_new[0])); g_radion->SetLineWidth(2); g_radion->SetLineColor(kBlue+1); g_radion->SetFillColor(kWhite);
+TGraph *g_radion2=new TGraph(masses_radion_new2.size(), &(masses_radion_new2[0]), &(x_radion_new2[0])); g_radion2->SetLineWidth(2); g_radion2->SetLineColor(kBlue+1); g_radion->SetFillColor(kWhite);
+TStyle *tdrStyle=setTDRStyle();
+gROOT->SetStyle("Plain");
+
+// LMR1 flag 
+TGraphErrors *g_xsec_1=new TGraphErrors(nPoints_1, &(mass_1[0]), xsec_1);
+g_xsec_1->SetTitle("; m_{X} (GeV); #sigma(pp#rightarrowX) #times Br(X#rightarrowH(b#bar{b}) H(b#bar{b})) (fb)");
+g_xsec_1->SetLineWidth(2);
+g_xsec_1->SetLineStyle(2);
+TGraphAsymmErrors *g_xsec_1sigma_1=new TGraphAsymmErrors(nPoints_1, &(mass_1[0]), xsec_1, 0, 0, expNeg1_1, expPos1_1);
+g_xsec_1sigma_1->SetLineColorAlpha(kGreen,0.5);
+g_xsec_1sigma_1->SetFillColorAlpha(kGreen,0.5);
+TGraphAsymmErrors *g_xsec_2sigma_1=new TGraphAsymmErrors(nPoints_1, &(mass_1[0]), xsec_1, 0, 0, expNeg2_1, expPos2_1);
+g_xsec_2sigma_1->SetLineColorAlpha(kYellow,0.5);
+g_xsec_2sigma_1->SetFillColorAlpha(kYellow,0.5);
+TGraph *g_obs_1=new TGraph(nPoints_1, &(mass_1[0]), obs_1);
+g_obs_1->SetLineWidth(2);
+g_obs_1->SetLineStyle(1);
+
+// LMR2 flag 
+TGraphErrors *g_xsec_2=new TGraphErrors(nPoints_2, &(mass_2[0]), xsec_2);
+g_xsec_2->SetTitle("; m_{X} (GeV); #sigma(pp#rightarrowX) #times Br(X#rightarrowH(b#bar{b}) H(b#bar{b})) (fb)");
+g_xsec_2->SetLineWidth(2);
+g_xsec_2->SetLineStyle(2);
+TGraphAsymmErrors *g_xsec_1sigma_2=new TGraphAsymmErrors(nPoints_2, &(mass_2[0]), xsec_2, 0, 0, expNeg1_2, expPos1_2);
+g_xsec_1sigma_2->SetLineColorAlpha(kGreen, 0.5);
+g_xsec_1sigma_2->SetFillColorAlpha(kGreen, 0.5);
+TGraphAsymmErrors *g_xsec_2sigma_2=new TGraphAsymmErrors(nPoints_2, &(mass_2[0]), xsec_2, 0, 0, expNeg2_2, expPos2_2);
+g_xsec_2sigma_2->SetLineColorAlpha(kYellow, 0.5);
+g_xsec_2sigma_2->SetFillColorAlpha(kYellow, 0.5);
+TGraph *g_obs_2=new TGraph(nPoints_2, &(mass_2[0]), obs_2);
+g_obs_2->SetLineWidth(2);
+g_obs_2->SetLineStyle(1);
+
+// MMR flag 
+TGraphErrors *g_xsec_3=new TGraphErrors(nPoints_3, &(mass_3[0]), xsec_3);
+g_xsec_3->SetTitle("; m_{X} (GeV); #sigma(pp#rightarrowX) #times Br(X#rightarrowH(b#bar{b}) H(b#bar{b})) (fb)");
+g_xsec_3->SetLineWidth(2);
+g_xsec_3->SetLineStyle(2);
+TGraphAsymmErrors *g_xsec_1sigma_3=new TGraphAsymmErrors(nPoints_3, &(mass_3[0]), xsec_3, 0, 0, expNeg1_3, expPos1_3);
+g_xsec_1sigma_3->SetLineColorAlpha(kGreen, 0.5);
+g_xsec_1sigma_3->SetFillColorAlpha(kGreen, 0.5);
+TGraphAsymmErrors *g_xsec_2sigma_3=new TGraphAsymmErrors(nPoints_3, &(mass_3[0]), xsec_3, 0, 0, expNeg2_3, expPos2_3);
+g_xsec_2sigma_3->SetLineColorAlpha(kYellow, 0.5);
+g_xsec_2sigma_3->SetFillColorAlpha(kYellow, 0.5);
+TGraph *g_obs_3=new TGraph(nPoints_3, &(mass_3[0]), obs_3);
+g_obs_3->SetLineWidth(2);
+g_obs_3->SetLineStyle(1);
+
+TCanvas *c_xsec=new TCanvas("c_xsec", "c_xsec", 1000, 700);
+c_xsec->SetLogy();
+//c_xsec->SetGridx(1); 
+//c_xsec->SetGridy(1);
+g_xsec_2->SetMaximum(ymax); g_xsec_2->SetMinimum(ymin);
+g_xsec_2->Draw("AL");
+g_xsec_2sigma_2->Draw("3");
+g_xsec_1sigma_2->Draw("3");
+g_xsec_2->GetXaxis()->SetLimits(260,1200);
+g_xsec_2->Draw("L");
+g_xsec_1->DrawClone("L same");
+g_xsec_2sigma_1->DrawClone("3 same");
+g_xsec_1sigma_1->DrawClone("3 same");
+g_xsec_1->DrawClone("L same");
+g_xsec_3->DrawClone("L same");
+g_xsec_2sigma_3->DrawClone("3same");
+g_xsec_1sigma_3->DrawClone("3same");
+g_xsec_3->Draw("L same");
+g_graviton->Draw("C same");
+//g_radion->Draw("C same");
+//g_radion2->Draw("C same");
+
+g_obs_1->SetMarkerStyle(20);
+g_obs_1->SetMarkerColor(kBlack);	
+g_obs_1->Draw("CP SAME");
+g_obs_2->SetMarkerStyle(20);
+g_obs_2->SetMarkerColor(kRed);	
+g_obs_2->Draw("CP SAME");
+g_obs_3->SetMarkerStyle(20);
+g_obs_3->SetMarkerColor(kBlue);	
+g_obs_3->Draw("CP SAME");
+c_xsec->Update();
+
+TLegend *leg=new TLegend(0.45, 0.55, 0.90, 0.85);
+leg->SetFillStyle(1); leg->SetFillColor(kWhite);
+leg->AddEntry(g_xsec_1, "Expected Upper Limit", "L");
+leg->AddEntry(g_xsec_1sigma_1, "Expected #pm 1 #sigma (LMR [250,330] GeV)", "F");
+leg->AddEntry(g_xsec_2sigma_1, "Expected #pm 2 #sigma (LMR [250,330] GeV)", "F");
+leg->AddEntry(g_xsec_1sigma_2, "Expected #pm 1 #sigma (LMR [285,625] GeV)", "F");
+leg->AddEntry(g_xsec_2sigma_2, "Expected #pm 2 #sigma (LMR [285,625] GeV)", "F");
+leg->AddEntry(g_xsec_1sigma_3, "Expected #pm 1 #sigma (MMR [550,1200] GeV)", "F");
+leg->AddEntry(g_xsec_2sigma_3, "Expected #pm 2 #sigma (MMR [550,1200] GeV)", "F");
+leg->AddEntry(g_obs_1, "Observed Upper Limit", "LP");
+leg->AddEntry(g_graviton,"Bulk Graviton k=0.1","L");
+//leg->AddEntry(g_radion,"Bulk Radion #lambda= 1 TeV, kl=35","L");
+//leg->AddEntry(g_radion2,"Bulk Radion #lambda= 3 TeV, kl=35","L");	
+leg->SetFillColor(kWhite);
+leg->SetFillStyle(0);
+leg->SetTextSize(0.03);
+leg->SetTextFont(42);
+leg->SetBorderSize(0);
+leg->Draw();
+CMS_lumi( c_xsec, iPeriod, iPos );
+c_xsec->Update();
+c_xsec->SaveAs("UpperLimit_all.png");
+c_xsec->SaveAs("UpperLimit_all.pdf");
+c_xsec->SaveAs("UpperLimit_all.root");
+
+TFile *file=new TFile("UpperLimits_xsec_all.root", "RECREATE");
+g_obs_1->Write("g_obs_1");
+g_obs_2->Write("g_obs_2");
+g_obs_3->Write("g_obs_3");
+g_xsec_1->Write("g_xsec_1");
+g_xsec_1sigma_1->Write("g_xsec_1sigma_1");
+g_xsec_2sigma_1->Write("g_xsec_2sigma_1");
+g_xsec_2->Write("g_xsec_2");
+g_xsec_1sigma_2->Write("g_xsec_1sigma_2");
+g_xsec_2sigma_2->Write("g_xsec_2sigma_2");
+g_xsec_3->Write("g_xsec_3");
+g_xsec_1sigma_3->Write("g_xsec_1sigma_3");
+g_xsec_2sigma_3->Write("g_xsec_2sigma_3");
+file->Close();
+}
diff --git a/DrawLimitPlot_Combined.cc b/DrawLimitPlot_Combined.cc
new file mode 100644
index 0000000..25e0d68
--- /dev/null
+++ b/DrawLimitPlot_Combined.cc
@@ -0,0 +1,547 @@
+#include <TROOT.h>
+#include "TSystem.h"
+#include <stdlib.h>
+#include <stdio.h>
+#include <iostream>
+#include <fstream>
+#include "TGraphAsymmErrors.h"
+#include "TGraphErrors.h"
+#include "TCanvas.h"
+#include "TLegend.h"
+#include "TFile.h"
+#include "TAxis.h"
+#include "TLatex.h"
+#include "../../TDRStyle.h"
+#include "../../CMS_lumi.h"
+#include <iostream>
+int iPeriod = 4;    // 1=7TeV, 2=8TeV, 3=7+8TeV, 7=7+8+13TeV 
+int iPos = 11;
+
+void 
+CMS_lumi( TPad* pad, int iPeriod, int iPosX )
+{            
+  bool outOfFrame    = false;
+  if( iPosX/10==0 ) 
+    {
+      outOfFrame = true;
+    }
+  int alignY_=3;
+  int alignX_=2;
+  if( iPosX/10==0 ) alignX_=1;
+  if( iPosX==0    ) alignX_=1;
+  if( iPosX==0    ) alignY_=1;
+  if( iPosX/10==1 ) alignX_=1;
+  if( iPosX/10==2 ) alignX_=2;
+  if( iPosX/10==3 ) alignX_=3;
+  if( iPosX == 0  ) relPosX = 0.14;
+  int align_ = 10*alignX_ + alignY_;
+
+  float H = pad->GetWh();
+  float W = pad->GetWw();
+  float l = pad->GetLeftMargin();
+  float t = pad->GetTopMargin();
+  float r = pad->GetRightMargin();
+  float b = pad->GetBottomMargin();
+
+  pad->cd();
+
+  TString lumiText;
+  if( iPeriod==1 )
+    {
+      lumiText += lumi_7TeV;
+      lumiText += " (7 TeV)";
+    }
+  else if ( iPeriod==2 )
+    {
+      lumiText += lumi_8TeV;
+      lumiText += " (8 TeV)";
+    }
+  else if( iPeriod==3 ) 
+    {
+      lumiText = lumi_8TeV; 
+      lumiText += " (8 TeV)";
+      lumiText += " + ";
+      lumiText += lumi_7TeV;
+      lumiText += " (7 TeV)";
+    }
+  else if ( iPeriod==4 )
+    {
+      lumiText += lumi_13TeV;
+      lumiText += " (13 TeV)";
+    }
+  else if ( iPeriod==7 )
+    { 
+      if( outOfFrame ) lumiText += "#scale[0.85]{";
+      lumiText += lumi_13TeV; 
+      lumiText += " (13 TeV)";
+      lumiText += " + ";
+      lumiText += lumi_8TeV; 
+      lumiText += " (8 TeV)";
+      lumiText += " + ";
+      lumiText += lumi_7TeV;
+      lumiText += " (7 TeV)";
+      if( outOfFrame) lumiText += "}";
+    }
+  else if ( iPeriod==12 )
+    {
+      lumiText += "8 TeV";
+    }
+  else if ( iPeriod==0 )
+    {
+      lumiText += lumi_sqrtS;
+    }
+   
+  std::cout << lumiText << endl;
+
+  TLatex latex;
+  latex.SetNDC();
+  latex.SetTextAngle(0);
+  latex.SetTextColor(kBlack);    
+
+  float extraTextSize = extraOverCmsTextSize*cmsTextSize;
+
+  latex.SetTextFont(42);
+  latex.SetTextAlign(31); 
+  latex.SetTextSize(lumiTextSize*t);    
+  latex.DrawLatex(1-r,1-t+lumiTextOffset*t,lumiText);
+
+  if( outOfFrame )
+    {
+      latex.SetTextFont(cmsTextFont);
+      latex.SetTextAlign(11); 
+      latex.SetTextSize(cmsTextSize*t);    
+      latex.DrawLatex(l,1-t+lumiTextOffset*t,cmsText);
+    }
+  
+  pad->cd();
+
+  float posX_=0;
+  if( iPosX%10<=1 )
+    {
+      posX_ =   l + relPosX*(1-l-r);
+    }
+  else if( iPosX%10==2 )
+    {
+      posX_ =  l + 0.5*(1-l-r);
+    }
+  else if( iPosX%10==3 )
+    {
+      posX_ =  1-r - relPosX*(1-l-r);
+    }
+  float posY_ = 1-t - relPosY*(1-t-b);
+  if( !outOfFrame )
+    {
+      if( drawLogo )
+	{
+	  posX_ =   l + 0.045*(1-l-r)*W/H;
+	  posY_ = 1-t - 0.045*(1-t-b);
+	  float xl_0 = posX_;
+	  float yl_0 = posY_ - 0.15;
+	  float xl_1 = posX_ + 0.15*H/W;
+	  float yl_1 = posY_;
+	  TASImage* CMS_logo = new TASImage("CMS-BW-label.png");
+	  TPad* pad_logo = new TPad("logo","logo", xl_0, yl_0, xl_1, yl_1 );
+	  pad_logo->Draw();
+	  pad_logo->cd();
+	  CMS_logo->Draw("X");
+	  pad_logo->Modified();
+	  pad->cd();
+	}
+      else
+	{
+	  latex.SetTextFont(cmsTextFont);
+	  latex.SetTextSize(cmsTextSize*t);
+	  latex.SetTextAlign(align_);
+	  latex.DrawLatex(posX_, posY_, cmsText);
+	  if( writeExtraText ) 
+	    {
+	      latex.SetTextFont(extraTextFont);
+	      latex.SetTextAlign(align_);
+	      latex.SetTextSize(extraTextSize*t);
+	      latex.DrawLatex(posX_, posY_- relExtraDY*cmsTextSize*t, extraText);
+	    }
+	}
+    }
+  else if( writeExtraText )
+    {
+      if( iPosX==0) 
+	{
+	  posX_ =   l +  relPosX*(1-l-r);
+	  posY_ =   1-t+lumiTextOffset*t;
+	}
+      latex.SetTextFont(extraTextFont);
+      latex.SetTextSize(extraTextSize*t);
+      latex.SetTextAlign(align_);
+      latex.DrawLatex(posX_, posY_, extraText);      
+    }
+  return;
+}
+
+
+std::string itoa(int i) 
+{
+  char res[4];
+  sprintf(res, "%d", i);
+  std::string ret(res);
+  return ret;
+}
+
+void DrawLimitPlot_Combined(std::vector<double> mass_1,
+	std::vector<double> mass_2,
+	std::vector<double> mass_3, std::vector<double> mass_c, 
+	double ymin, double ymax, 
+	std::string background_1,
+	std::string background_2,
+	std::string background_3){
+	/*
+	    gStyle->SetTitleOffset(1.2,"Y");
+		gStyle->SetPadLeftMargin(0.18);
+		gStyle->SetPadBottomMargin(0.15);
+		gStyle->SetPadTopMargin(0.08);
+		gStyle->SetPadRightMargin(0.05);
+		gStyle->SetMarkerSize(0.5);
+		gStyle->SetHistLineWidth(1);
+		gStyle->SetStatFontSize(0.020);
+		gStyle->SetTitleSize(0.06, "XYZ");
+		gStyle->SetLabelSize(0.05, "XYZ");
+		gStyle->SetNdivisions(510, "XYZ");
+		gStyle->SetLegendBorderSize(0);
+		gStyle->SetPadBorderMode(0);
+		gStyle->SetFrameBorderMode(0);
+		gStyle->SetPadBottomMargin(0.12);
+		gStyle->SetPadLeftMargin(0.12);
+		gStyle->SetCanvasColor(kWhite);
+		gStyle->SetCanvasDefH(600);
+		gStyle->SetCanvasDefW(600);
+		gStyle->SetCanvasDefX(0);
+		gStyle->SetCanvasDefY(0);
+
+		gStyle->SetPadTopMargin(0.05);
+		gStyle->SetPadBottomMargin(0.15);
+		gStyle->SetPadLeftMargin(0.15);
+		gStyle->SetPadRightMargin(0.05);
+
+		gStyle->SetPadBorderMode(0);
+		gStyle->SetPadColor(kWhite);
+		gStyle->SetGridColor(0);
+		gStyle->SetGridStyle(3);
+		gStyle->SetGridWidth(1);
+
+		gStyle->SetFrameBorderMode(0);
+		gStyle->SetFrameBorderSize(1);
+		gStyle->SetFrameFillColor(0);
+		gStyle->SetFrameFillStyle(0);
+		gStyle->SetFrameLineColor(1);
+		gStyle->SetFrameLineStyle(1);
+		gStyle->SetFrameLineWidth(1);
+
+		gStyle->SetTitleColor(1, "XYZ");
+		gStyle->SetTitleFont(42, "XYZ");
+		gStyle->SetTitleSize(0.05, "XYZ");
+		gStyle->SetTitleXOffset(1.15);
+		gStyle->SetTitleYOffset(1.3) ;
+		gStyle->SetLabelColor(1, "XYZ");
+		gStyle->SetLabelFont(42, "XYZ");
+		gStyle->SetLabelOffset(0.007, "XYZ");
+		gStyle->SetLabelSize(0.045, "XYZ");
+
+		gStyle->SetPadBorderMode(0);
+		gStyle->SetFrameBorderMode(0);
+		gStyle->SetTitleTextColor(1);
+		gStyle->SetTitleFillColor(10);
+		gStyle->SetTitleFontSize(0.05);
+*/
+        writeExtraText = true;       
+	    extraText  = "Preliminary";  
+	    lumi_13TeV  = "35.9 fb^{-1}";
+
+	// LMR1 definitions
+	const unsigned int nPoints_1=mass_1.size();
+	double norm_1=1000;
+	// LMR2 definitions
+	const unsigned int nPoints_2=mass_2.size();
+	double norm_2=1000;
+	// MMR1 definitions
+	const unsigned int nPoints_3=mass_3.size();
+	double norm_3=2;	
+    // All definitions
+    const unsigned int nPoints_c=nPoints_1 + nPoints_2 + nPoints_3;
+    double xsec_c[nPoints_c], xsecNeg1_c[nPoints_c], xsecPos1_c[nPoints_c], xsecNeg2_c[nPoints_c], xsecPos2_c[nPoints_c];
+    double obs_c[nPoints_c];
+    double expNeg2_c[nPoints_c], expNeg1_c[nPoints_c], expPos1_c[nPoints_c], expPos2_c[nPoints_c];
+
+    // All LOOP
+	for (unsigned int i=0; i<nPoints_1; ++i)
+	{
+		std::string mass_string_1=itoa(mass_1[i]);
+		std::string filename_1;
+		filename_1="LMR/LMR_"+mass_string_1+"_"+background_1+"/CMS_HH4b_"+mass_string_1+"_13TeV_asymptoticCLs.out";
+		std::ifstream file_1(filename_1.c_str(), ios::in);
+		std::string line_1;
+        bool found_1= false;
+        while (!found_1 && !file_1.eof() && !gSystem->AccessPathName(filename_1.c_str())) {
+                          getline(file_1, line_1);
+                          std::size_t pos = line_1.find("-- Asymptotic --");  
+                          if (pos!=std::string::npos){
+                          found_1=true;
+                          }
+        }
+		getline(file_1, line_1); obs_c[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsecNeg2_c[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsecNeg1_c[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsec_c[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsecPos1_c[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		getline(file_1, line_1); xsecPos2_c[i]=atof(line_1.substr(line_1.find("<")+1).c_str())*norm_1;
+		expNeg2_c[i]=xsec_c[i]-xsecNeg2_c[i];
+		expNeg1_c[i]=xsec_c[i]-xsecNeg1_c[i];
+		expPos1_c[i]=xsecPos1_c[i]-xsec_c[i];
+		expPos2_c[i]=xsecPos2_c[i]-xsec_c[i];
+        cout<<mass_string_1<<" & "<<obs_c[i]<<" & "<<xsec_c[i]<<" & "<<expNeg1_c[i]<<" & "<<expPos1_c[i]<<" \\\\"<<endl; 
+   }
+
+  	for (unsigned int i=0; i<nPoints_2; ++i)
+	{  
+		std::string mass_string_2=itoa(mass_2[i]);
+		std::string filename_2;
+		filename_2="LMR/LMR_"+mass_string_2+"_"+background_2+"/CMS_HH4b_"+mass_string_2+"_13TeV_asymptoticCLs.out";
+		std::ifstream file_2(filename_2.c_str(), ios::in);
+		std::string line_2;
+        bool found_2= false;
+        while (!found_2 && !file_2.eof() && !gSystem->AccessPathName(filename_2.c_str())) {
+                          getline(file_2, line_2);
+                          std::size_t pos = line_2.find("-- Asymptotic --");  
+                          if (pos!=std::string::npos){
+                          found_2=true;
+                          }
+        }
+		getline(file_2, line_2); obs_c[i+nPoints_1]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsecNeg2_c[i+nPoints_1]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsecNeg1_c[i+nPoints_1]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsec_c[i+nPoints_1]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsecPos1_c[i+nPoints_1]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		getline(file_2, line_2); xsecPos2_c[i+nPoints_1]=atof(line_2.substr(line_2.find("<")+1).c_str())*norm_2;
+		expNeg2_c[i+nPoints_1]=xsec_c[i+nPoints_1]-xsecNeg2_c[i+nPoints_1];
+		expNeg1_c[i+nPoints_1]=xsec_c[i+nPoints_1]-xsecNeg1_c[i+nPoints_1];
+		expPos1_c[i+nPoints_1]=xsecPos1_c[i+nPoints_1]-xsec_c[i+nPoints_1];
+		expPos2_c[i+nPoints_1]=xsecPos2_c[i+nPoints_1]-xsec_c[i+nPoints_1];
+                cout<<mass_string_2<<" & "<<obs_c[i+nPoints_1]<<" & "<<xsec_c[i+nPoints_1]<<" & "<<expNeg1_c[i+nPoints_1]<<" & "<<expPos1_c[i+nPoints_1]<<" \\\\"<<endl;
+}
+        
+
+ 	for (unsigned int i=0; i<nPoints_3; ++i)
+	{       	
+		std::string mass_string_3=itoa(mass_3[i]);
+		std::string filename_3;
+		filename_3="MMR/MMR_"+mass_string_3+"_"+background_3+"/CMS_HH4b_"+mass_string_3+"_13TeV_asymptoticCLs.out";
+		std::ifstream file_3(filename_3.c_str(), ios::in);
+		std::string line_3;
+        bool found_3= false;
+        while (!found_3 && !file_3.eof() && !gSystem->AccessPathName(filename_3.c_str())) {
+                          getline(file_3, line_3);
+                          std::size_t pos = line_3.find("-- Asymptotic --");  
+                          if (pos!=std::string::npos){
+                          found_3=true;
+                          }
+        }
+		getline(file_3, line_3); obs_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsecNeg2_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsecNeg1_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsec_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsecPos1_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		getline(file_3, line_3); xsecPos2_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+		expNeg2_c[i+nPoints_2+nPoints_1]=xsec_c[i+nPoints_2+nPoints_1]-xsecNeg2_c[i+nPoints_2+nPoints_1];
+		expNeg1_c[i+nPoints_2+nPoints_1]=xsec_c[i+nPoints_2+nPoints_1]-xsecNeg1_c[i+nPoints_2+nPoints_1];
+		expPos1_c[i+nPoints_2+nPoints_1]=xsecPos1_c[i+nPoints_2+nPoints_1]-xsec_c[i+nPoints_2+nPoints_1];
+		expPos2_c[i+nPoints_2+nPoints_1]=xsecPos2_c[i+nPoints_2+nPoints_1]-xsec_c[i+nPoints_2+nPoints_1];
+                cout<<mass_string_3<<" & "<<obs_c[i+nPoints_2+nPoints_1]<<" & "<<xsec_c[i+nPoints_2+nPoints_1]<<" & "<<expNeg1_c[i+nPoints_2+nPoints_1]<<" & "<<expPos1_c[i+nPoints_2+nPoints_1]<<" \\\\"<<endl;
+
+  
+	}
+
+
+	// Graviton curve
+	std::vector<double> masses_graviton={
+	260,  
+		300,  
+		350,  
+		400,  
+		450,  
+		500,  
+		550,  
+		600,  
+		650,  
+		700,  
+		750,  
+		800,  
+		850,  
+		900,
+		950,  
+		1000,
+		1050,
+		1100,
+		1150,
+		1200,
+		1250,
+		1300,
+		1350,
+		1400,
+		1450,
+		1500};
+
+std::vector<double> x_graviton{
+	13189.5110556213,
+		7213.724953,
+		3724.152306612245,
+		2074.118283562500,
+		1220.908845777777,
+		756.0527086799999,
+		484.2628197024792,
+		321.127891575,
+		219.297103860355, 
+		152.2164810122449,
+		108.4982254720000,
+		78.4962635203125 ,
+		57.88419000415223,
+		43.08418917777778,
+		32.69710000221605,
+		24.96632111100000,
+		19.26116379591836,
+		15.04592709917355,
+		11.87132725293005,
+		9.391763225,
+		7.510401695231998,
+		6.032381149171598,
+		4.878695042469133,
+		3.980540729387755,
+		3.259530744827586,
+		2.6789518692	
+};
+
+std::vector<double> br_hh={
+7.875333606243001e-6,
+	0.0002609363907507743,
+	0.0008527793007645482 , 
+	0.0014748453016228675,
+	0.00202120813640487,
+	0.0024744221679741125,
+	0.002843812476091045,
+	0.003144265384982541,
+	0.0033897489806557304,
+	0.0035917787224510177, 
+	0.003759423688146881,
+	0.0038997130095539006, 
+	0.004018077826392619,
+	0.004118727164348574,   
+	0.004204942476367313,   
+	0.00427930100894505,   
+	0.004343843097937954, 
+	0.004400197131035117,  
+	0.004449673107888205,
+	0.0044933330427632395, 
+	0.00453204428524029 , 
+	0.004566520194709918,   
+	0.004597351400961763, 
+	0.004625030011213332, 
+	0.00464996849485267,   
+	0.004672514523079795
+	};
+
+	// Radion curve
+	std::vector<double> masses_radion={
+	260,  
+		300,
+		400,
+		500,
+		600,
+		700,
+		750,
+		800,
+		900,
+	   1000,
+       1500};
+
+    std::vector<double> x_radion{
+    10.314910442540885,	
+    7.20114376233762,	
+    3.369927115848731,	
+    1.962250361817225,	
+    1.235987766884442,	
+    0.8043402650432466,	
+    0.6557538821852814,	
+    0.5434525134607641,	
+    0.3735615328391298,	
+	0.2618915924170746,	
+	0.054417137017588976};
+
+// Graviton curve K=0.1 from github reference (scale from 0.5 to 0.1)
+std::vector<double> masses_graviton_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
+std::vector<double> x_graviton_new={0.2748, 5.44, 9.28, 4.92, 2.29, 1.14, 0.08, 0.6, 0.33, 0.19, 0.12, 0.08, 0.05, 0.03, 0.02};
+//Radion curve from github reference
+std::vector<double> masses_radion_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
+std::vector<double> x_radion_new={7.64e+03, 7.13e+03, 2.92e+03, 1.50e+03, 9.08e+02, 5.84e+02, 4.74e+02, 3.93e+02, 2.70e+02, 1.90e+02, 1.38e+02, 1.01e+02, 7.38e+01, 5.39e+01, 3.93e+01};
+//Radion curve divided by 9 from github reference
+std::vector<double> masses_radion_new2={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
+std::vector<double> x_radion_new2={848.88, 792.22, 324.44, 166.66, 100.88, 64.88, 52.66, 43.66, 30.0, 21.11, 15.33, 11.22, 8.20, 5.98, 4.36};
+
+TGraph *g_graviton=new TGraph(masses_graviton_new.size(), &(masses_graviton_new[0]), &(x_graviton_new[0])); g_graviton->SetLineWidth(2); g_graviton->SetLineColor(kBlue+1); g_graviton->SetFillColor(kWhite);
+TGraph *g_radion=new TGraph(masses_radion_new.size(), &(masses_radion_new[0]), &(x_radion_new[0])); g_radion->SetLineWidth(2); g_radion->SetLineColor(kBlue+1); g_radion->SetFillColor(kWhite);
+TGraph *g_radion2=new TGraph(masses_radion_new2.size(), &(masses_radion_new2[0]), &(x_radion_new2[0])); g_radion2->SetLineWidth(2); g_radion2->SetLineColor(kBlue+1); g_radion->SetFillColor(kWhite);
+TStyle *tdrStyle=setTDRStyle();
+gROOT->SetStyle("Plain");
+
+// Big flag 
+TGraphErrors *g_xsec_c=new TGraphErrors(nPoints_c, &(mass_c[0]), xsec_c);
+g_xsec_c->SetTitle("; m_{X} (GeV); #sigma(pp#rightarrowX) #times Br(X#rightarrowH(b#bar{b}) H(b#bar{b})) (fb)");
+g_xsec_c->SetLineWidth(2);
+g_xsec_c->SetLineStyle(2);
+TGraphAsymmErrors *g_xsec_1sigma_c=new TGraphAsymmErrors(nPoints_c, &(mass_c[0]), xsec_c, 0, 0, expNeg1_c, expPos1_c);
+g_xsec_1sigma_c->SetLineColor(kGreen);
+g_xsec_1sigma_c->SetFillColor(kGreen);
+TGraphAsymmErrors *g_xsec_2sigma_c=new TGraphAsymmErrors(nPoints_c, &(mass_c[0]), xsec_c, 0, 0, expNeg2_c, expPos2_c);
+g_xsec_2sigma_c->SetLineColor(kYellow);
+g_xsec_2sigma_c->SetFillColor(kYellow);
+TGraph *g_obs_c=new TGraph(nPoints_c, &(mass_c[0]), obs_c);
+g_obs_c->SetLineWidth(2);
+g_obs_c->SetLineStyle(1);
+
+
+TCanvas *c_xsec=new TCanvas("c_xsec", "c_xsec", 1000, 700);
+c_xsec->SetLogy();
+g_xsec_c->SetMaximum(ymax); 
+g_xsec_c->SetMinimum(ymin);
+g_xsec_c->Draw("AL");
+g_xsec_2sigma_c->Draw("3");
+g_xsec_1sigma_c->Draw("3");
+g_xsec_c->GetXaxis()->SetLimits(260,1200);
+g_xsec_c->Draw("L");
+g_graviton->Draw("C same");
+//g_radion->Draw("C same");
+//g_radion2->Draw("C same");
+
+g_obs_c->SetMarkerStyle(20);
+g_obs_c->SetMarkerColor(kBlack);	
+g_obs_c->Draw("CP SAME");
+
+c_xsec->Update();
+
+TLegend *leg=new TLegend(0.45, 0.55, 0.90, 0.85);
+leg->SetFillStyle(1); leg->SetFillColor(kWhite);
+leg->AddEntry(g_xsec_c, "Expected Upper Limit", "L");
+leg->AddEntry(g_xsec_1sigma_c, "Expected #pm 1 #sigma", "F");
+leg->AddEntry(g_xsec_2sigma_c, "Expected #pm 2 #sigma", "F");
+leg->AddEntry(g_obs_c, "Observed Upper Limit", "LP");
+leg->AddEntry(g_graviton,"Bulk Graviton k=0.1","L");
+//leg->AddEntry(g_radion,"Bulk Radion #lambda= 1 TeV, kl=35","L");
+//leg->AddEntry(g_radion2,"Bulk Radion #lambda= 3 TeV, kl=35","L");	
+leg->SetFillColor(kWhite);
+leg->SetFillStyle(0);
+leg->SetTextSize(0.03);
+leg->SetTextFont(42);
+leg->SetBorderSize(0);
+leg->Draw();
+CMS_lumi( c_xsec, iPeriod, iPos );
+c_xsec->Update();
+c_xsec->SaveAs("UpperLimit_combined.png");
+c_xsec->SaveAs("UpperLimit_combined.pdf");
+
+}
\ No newline at end of file
diff --git a/InterpolateSignal.C b/InterpolateSignal.C
index d739bc2..014b563 100644
--- a/InterpolateSignal.C
+++ b/InterpolateSignal.C
@@ -83,7 +83,7 @@ void interpolation_normalization(bool, std::string, std::string, int);
 bool flag_crystal = 1; //1 for CrystalBall 0 for ExpGaussExp
 const int NumOfSyst=5;
 
-void Interpolation(std::string function, std::string name_range, int range, bool flag_MMR) {
+void InterpolateSignal(std::string function, std::string name_range, int range, bool flag_MMR) {
     gSystem->Load("../../../PDFs/ExpGaussExp_cxx.so");
     interpolation_normalization(flag_MMR, function, name_range, range);
 
@@ -93,7 +93,7 @@ void Interpolation(std::string function, std::string name_range, int range, bool
     // Observable
     RooRealVar *X;
     if(flag_MMR){
-        X= new RooRealVar("x","x",400,1200);
+        X= new RooRealVar("x","x",400,1400);
     }
     else{
         if (range==1){X= new RooRealVar("x","x",230,400);}
@@ -106,8 +106,8 @@ void Interpolation(std::string function, std::string name_range, int range, bool
     if (flag_MMR) {
         dir = "MMR";
         std::vector<double> masses_temp;
-        if (range==1){masses_temp= {550, 600, 650, 750, 800, 900, 1000};}
-        else{masses_temp= {550, 600, 650, 750, 800, 900, 1000};}
+        if (range==1){masses_temp= {550, 600, 650, 750, 800, 900, 1000, 1200};}
+        else{masses_temp= {550, 600, 650, 750, 800, 900, 1000, 1200};}
         for (unsigned int i = 0 ; i< masses_temp.size(); i++) {
             masses.push_back(masses_temp[i]);
         }
@@ -141,7 +141,7 @@ void Interpolation(std::string function, std::string name_range, int range, bool
             return;
         }
     }
- 
+
     RooWorkspace* w_test= new RooWorkspace("w_test");
     for (unsigned int i = 0; i!=nMCpoints; ++i ) {
         RooWorkspace w("w");
@@ -169,11 +169,14 @@ void Interpolation(std::string function, std::string name_range, int range, bool
     }
     cout<<"test_9" << endl;
     w_test->Print();
+
+ 
     for (unsigned int i = 0; i!=nMCpoints; ++i ) {
         cout<<"test_10" << endl;
         PDF_mass[i]->Print("t");
     }
 
+
     // C r e a t e   i n t e r p o l a t i n g   p d f
     // -----------------------------------------------
     
@@ -209,7 +212,7 @@ void Interpolation(std::string function, std::string name_range, int range, bool
         
         int nPoints = int((masses[iPoint+1]-masses[iPoint])/step);
         for (int i=0; i<=nPoints; i++) {
-            
+            if (std::find(masses.begin(), masses.end(), int(masses[iPoint]+i*step)) != masses.end()){continue; }
             alpha.setVal(double(i)/double(nPoints)) ;
             cout<< " Interpolate mass : " << int(masses[iPoint]+i*step) << endl;
             lmorph.plotOn(frame1[iPoint],LineColor(kRed)) ;
@@ -217,7 +220,7 @@ void Interpolation(std::string function, std::string name_range, int range, bool
             
             TH1D* hist;
             if(flag_MMR){
-                hist= (TH1D*)lmorph.createHistogram("m_X (GeV)",*X,Binning(1000,400,1200));
+                hist= (TH1D*)lmorph.createHistogram("m_X (GeV)",*X,Binning(1000,400,1400));
             }
             else{
                 hist= (TH1D*)lmorph.createHistogram("m_X (GeV)",*X,Binning(1000,0,1000));
@@ -231,14 +234,17 @@ void Interpolation(std::string function, std::string name_range, int range, bool
             
             RooRealVar *x, *sg_p0, *sg_p1, *sg_p2, *sg_p3,*sg_p4;
             double m=masses[iPoint]+i*step;
-            
+
+            //create workspace for signal            
             if (flag_MMR) {
-                double rangeHi = 0.9*m + 160;
-                double rangeLo = 0.7*m + 80;
+                double rangeHi = 1.1584*m -5.84;
+                double rangeLo = 0.72*m + 98;
+                double sg_p1_up; 
                 if (rangeLo<250) rangeLo=250;
-                sg_p0=new RooRealVar("sg_p0", "sg_p0", 0.9*m+20, m+30);
-                sg_p1=new RooRealVar("sg_p1", "sg_p1", 5., 35.);
-                sg_p2=new RooRealVar("sg_p2", "sg_p2", 0., 0.5);
+                if (m<600){sg_p1_up=10;} else{sg_p1_up=25;} 
+                sg_p0=new RooRealVar("sg_p0", "sg_p0", 0.90208*m+47.792, 1.09712*m-32.712);
+                sg_p1=new RooRealVar("sg_p1", "sg_p1", 5.,sg_p1_up);
+                sg_p2=new RooRealVar("sg_p2", "sg_p2", 0.,5.);
                 sg_p3=new RooRealVar("sg_p3", "sg_p3", 0.,7.);
                 x=new RooRealVar("x", "m_{X} (GeV)", rangeLo-100., rangeHi+100.);
                 ExpGaussExp signal("signal", "Signal Prediction", *x, *sg_p0, *sg_p1, *sg_p2, *sg_p3);
@@ -273,6 +279,7 @@ void Interpolation(std::string function, std::string name_range, int range, bool
                 RooAddPdf signal("signal", "signal", RooArgList(signalCore, signalComb), *sg_p4);
                 RooDataHist signalHistogram("signalHistogram", "Signal Histogram", RooArgList(*x), hist);
                 signal.fitTo(signalHistogram, RooFit::Range(rangeLo-50, rangeHi), RooFit::Save());
+
                 RooRealVar signal_p0("signal_p0", "signal_p0", sg_p0->getVal());
                 RooRealVar signal_p1("signal_p1", "signal_p1", sg_p1->getVal());
                 RooRealVar signal_p2("signal_p2", "signal_p2", sg_p2->getVal());
@@ -286,20 +293,22 @@ void Interpolation(std::string function, std::string name_range, int range, bool
                 w->import(signal_fixed);
                 w->SaveAs(Form("%s_%d_%s/w_signal_%d.root", dir.c_str(), int(masses[iPoint]+i*step), background.c_str(), int(masses[iPoint]+i*step)));
             }
+
         }
         c[iPoint] = new TCanvas(Form("linearmorph_%d",iPoint),Form("linearmorph_%d",iPoint),700,700) ;
         frame1[iPoint]->Draw();
-        c[iPoint]->SaveAs(Form("fig/linearmorph_%d_%d.png",int(masses[iPoint]), int(masses[iPoint+1])));
-        c[iPoint]->SaveAs(Form("fig/linearmorph_%d_%d.pdf",int(masses[iPoint]), int(masses[iPoint+1])));
-        c[iPoint]->SaveAs(Form("fig/linearmorph_%d_%d.root",int(masses[iPoint]), int(masses[iPoint+1])));
+        c[iPoint]->SaveAs(Form("fig/linearmorph_%d_%d_%d.png",int(masses[iPoint]), int(masses[iPoint+1]),range));
+        c[iPoint]->SaveAs(Form("fig/linearmorph_%d_%d_%d.pdf",int(masses[iPoint]), int(masses[iPoint+1]),range));
+        c[iPoint]->SaveAs(Form("fig/linearmorph_%d_%d_%d.root",int(masses[iPoint]), int(masses[iPoint+1]),range));
         
     }
     c_tot = new TCanvas("linearmorph_tot","linearmorph_tot",700,700) ;
     frame_tot->Draw();
-    c_tot->SaveAs("fig/linearmorph_tot.png");
-    c_tot->SaveAs("fig/linearmorph_tot.pdf");
-    c_tot->SaveAs("fig/linearmorph_tot.root");
+    c_tot->SaveAs(Form("fig/linearmorph_tot_%d.png",range));
+    c_tot->SaveAs(Form("fig/linearmorph_tot_%d.pdf",range));
+    c_tot->SaveAs(Form("fig/linearmorph_tot_%d.root",range));
     return ;
+
 }
 
 /*********************************
@@ -316,10 +325,10 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
     if (flag_MMR) {
         dir = "MMR";
         std::vector<double> mass_0_temp,mass_temp;
-        if (range==1){mass_0_temp= {550, 600, 650, 750, 800, 900, 1000};}
-        else{mass_0_temp= {550, 600, 650, 750, 800, 900, 1000};}
-        if (range==1){mass_temp= {550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000};}
-        else{mass_temp= {550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000};}
+        if (range==1){mass_0_temp= {550, 600, 650, 750, 800, 900, 1000, 1200};}
+        else{mass_0_temp= {550, 600, 650, 750, 800, 900, 1000, 1200};}
+        if (range==1){mass_temp= {550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1050, 1100, 1150, 1200};}
+        else{mass_temp= {550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1050, 1100, 1150, 1200};}
         for (unsigned int i = 0 ; i< mass_0_temp.size(); i++) {
             mass_0.push_back(mass_0_temp[i]);
         }
@@ -334,7 +343,7 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
         if (range==1){mass_0_temp= {260, 270, 300, 350};}
         else{mass_0_temp= {270, 300, 350, 400, 450, 500, 550, 600, 650};}
         if (range==1){mass_temp= {260, 265, 270, 275, 280, 285, 290, 295, 300, 310, 320, 350};}
-        else{mass_temp= {270, 275, 280, 285, 290, 295, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620};}
+        else{mass_temp= {270, 275, 280, 285, 290, 295, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 650};}
         for (unsigned int i = 0 ; i< mass_0_temp.size(); i++) {
             mass_0.push_back(mass_0_temp[i]);
         }
@@ -383,65 +392,34 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
         gSystem->Exec(Form("cp -r %s_%d_%s/datacard_%d_%s.txt %s_%d_%s/datacard_%d_%s.txt", dir.c_str(), int(mass_0[lMarker]), background.c_str(), int(mass_0[lMarker]), background.c_str(), dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str()));
         gSystem->Exec(Form("cp -r %s_%d_%s/signal%d_sig.log %s_%d_%s/signal%d_sig.log", dir.c_str(), int(mass_0[lMarker]), background.c_str(), int(mass_0[lMarker]), dir.c_str(), int(mass[i]), background.c_str(), int(mass[i])));
         gSystem->Exec(Form("cp -r %s_%d_%s/w_background_%s.root %s_%d_%s/w_background_%s.root", dir.c_str(), int(mass_0[lMarker]), background.c_str(), background.c_str(), dir.c_str(), int(mass[i]), background.c_str(), background.c_str()));
-        gSystem->Exec(Form("sed -i 's/%d./%d./g' %s_%d_%s/datacard_%d_%s.txt", int(mass_0[lMarker]), int(mass[i]), dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str()));
+        if(mass_0[lMarker] == 1200){gSystem->Exec(Form("sed -i 's/.signal_%d./_signal_%d./g' %s_%d_%s/datacard_%d_%s.txt", int(mass_0[lMarker]), int(mass[i]), dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str())); }
+        else{gSystem->Exec(Form("sed -i 's/%d./%d./g' %s_%d_%s/datacard_%d_%s.txt", int(mass_0[lMarker]), int(mass[i]), dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str()));}
         
     }
-
-    for (unsigned i = 0; i<nPoints; i++) {
+    j = 0;
+    for (unsigned i = 0; i<nPoints_0; i++) {
         
-        std::string mass_string= itoa(mass[i]);
+        std::string mass_string= itoa(mass_0[i]);
         std::cout<< mass_string << std::endl;
-        std::string filename=dir+"_"+mass_string+"_"+background+"/signal"+mass_string+"_sig.log";
-        std::cout<< filename << std::endl;
+        std::string filename=dir+"_"+mass_string+"_"+background+"/datacard_"+mass_string+"_"+background+".txt";
         
         std::ifstream file(filename.c_str(), ios::in);
-        
         bool found= false;
-        std::string line;
-        while (!found && !file.eof()) {
-            getline(file, line);
-            std::size_t pos = line.find("norm");
-            if (pos!=std::string::npos){
-                found=true;
-                signal_test[i] = atof(line.substr(line.find("norm")+7,line.find_last_of(" ")).c_str());
-                cout <<"trova " << signal_test[i]<< " "<< mass_string << endl;
-                if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){
-                    signal_0_test[j] = atof(line.substr(line.find("norm")+3,line.find_last_of(" ")).c_str());
-                    cout <<"trova " << signal_test[i]<< " "<< mass_string << endl;
-                    j++;
-                }
-            }
-        }
-        file.close();
-    }
-
-    j = 0;
-    for (unsigned i = 0; i<nPoints; i++) {
         
-        std::string mass_string= itoa(mass[i]);
-        std::cout<< mass_string << std::endl;
-        std::string filename=dir+"_"+mass_string+"_"+background+"/datacard_"+mass_string+"_"+background+".txt";
-        std::cout<< filename << std::endl;
-
-        std::ifstream file(filename.c_str(), ios::in);
         
-        bool found= false;
         std::string line;
         while (!found && !file.eof()) {
             getline(file, line);
             std::size_t pos = line.find("rate");
             if (pos!=std::string::npos){
                 found=true;
-                signal[i] = atof(line.substr(pos+22,line.find_last_of(" ")).c_str());
-                if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){
-                    signal_0[j] = atof(line.substr(pos+22,line.find_last_of(" ")).c_str());
-                    j++;
-                }
+                signal_0[i] = atof(line.substr(pos+22,line.find_last_of(" ")).c_str());
             }
         }
+        
         file.close();
-
-        //loop over systematics in the datacards
+        
+        
         for (int syst_num = 0; syst_num<NumOfSyst; syst_num++) {
             
             std::string filename=dir+"_"+mass_string+"_"+background+"/datacard_"+mass_string+"_"+background+".txt";
@@ -453,10 +431,12 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
                 if (pos!=std::string::npos){
                     found=true;
                     syst_0[syst_num][i] = atof(line.substr(pos+16,line.find_last_of("-")).c_str());
+                    cout<<"This is the systematic in the datacards: "<<syst_0[syst_num][i]<<endl;
                 }
             }
             file_syst.close();
-        }        
+        }
+        if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){j++;}        
     }
 
     TCanvas *c1 = new TCanvas("canvas","canvas",700,700);
@@ -466,7 +446,6 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
     p_1->SetFillStyle(4000);
     p_1->SetFrameFillColor(0);
     p_1->SetBottomMargin(0.035);
-    
     TPad* p_2 = new TPad("p_2", "p_2",0,0,1,xPad);
     p_2->SetBottomMargin(0.2);
     p_2->SetTopMargin(0.02);
@@ -487,10 +466,10 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
         hr_1->SetTitle("Linear interpolation of yield in MMR");
     } else {
         if (range==1){hr_1 = c1->DrawFrame(250,0,370,600);}
-        else{hr_1 = c1->DrawFrame(250,0,550,1600);}
+        else{hr_1 = c1->DrawFrame(250,0,650,2000);}
         hr_1->SetTitle("Linear interpolation of yield in LMR");
     }
-    hr_1->SetXTitle("m_X (GeV)");
+    hr_1->SetXTitle("m_{X} (GeV)");
     hr_1->GetYaxis()->SetTitleOffset(1.2);
     hr_1->SetYTitle("Normalization");
     c1->GetFrame()->SetBorderSize(12);
@@ -500,9 +479,9 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
         else{hr_2 = c1->DrawFrame(400,-0.07,1200,0.07);}
     } else {
         if (range==1){hr_2 = c1->DrawFrame(250,-0.04,370,0.04);}
-        else{hr_2 = c1->DrawFrame(250,-0.04,550,0.04);}
+        else{hr_2 = c1->DrawFrame(250,-0.04,650,0.04);}
     }
-    hr_2->SetXTitle("m_X (GeV)");
+    hr_2->SetXTitle("m_{X} (GeV)");
     hr_2->GetXaxis()->SetTitleOffset(0.6);
     hr_2->GetXaxis()->SetTitleSize(0.08);
     hr_2->GetYaxis()->SetTitleOffset(0.5);
@@ -511,69 +490,32 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
     hr_2->SetYTitle("Relative errors");    
     c1->GetFrame()->SetBorderSize(12);
     p_1->cd();
-    
-    
-    
-    TGraphErrors* g_signal = new TGraphErrors(nPoints, &(mass[0]), signal);
-    g_signal->SetMarkerColor(kBlue-7);
-    g_signal->SetMarkerStyle(20);
-    g_signal->SetLineColor(0);
-    //g_signal->Draw("P");
-    
+        
     TGraphErrors* g_signal_0 = new TGraphErrors(nPoints_0, &(mass_0[0]), signal_0);
     g_signal_0->SetMarkerColor(kRed);
     g_signal_0->SetMarkerStyle(21);
     g_signal_0->SetLineColor(0);
     g_signal_0->Draw("P");
     
-    TF1 *fit_lin = new TF1("fit_lin",straight_line,100,1000,2);
-    fit_lin->SetParameter(0, 1000.);
-    fit_lin->SetParameter(1, 5.);
-    fit_lin->SetParName(0, "q");
-    fit_lin->SetParName(1, "m");
-    if (flag_MMR) {
-        g_signal_0->Fit(fit_lin,"","",400,1000);
-    }
-    else{
-        if (range==1){g_signal_0->Fit(fit_lin,"","",260,250);}
-        else{g_signal_0->Fit(fit_lin,"","",270,550);}
-    }
-    
-    for (unsigned i = 0; i<nPoints; i++) {
-        lin[i]=fit_lin->GetParameter(1)*mass[i]+fit_lin->GetParameter(0);
-    }
-    TGraphErrors* g_signal_1 = new TGraphErrors(nPoints, &(mass[0]), lin);
-    g_signal_1->SetMarkerColor(8);
-    g_signal_1->SetMarkerStyle(22);
-    g_signal_1->SetLineColor(0);
-
-
-
-
-    
+    j=0;
     for (unsigned i = 0; i<nPoints; i++) {
         if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){
-            interpol[i]=signal[i];
+            interpol[i]=signal_0[j];
+            j++;
         }
-        else{
-            int lMarker=0;
-            for (auto pVal : mass_0){
-                if (pVal > mass[i]){
-                    break;
-                }
-                lMarker++;
-            }
+        else{int lMarker=0;
+            for (auto pVal : mass_0){  if (pVal > mass[i]){break;}lMarker++;}
             interpol[i] =( (signal_0[lMarker]-signal_0[lMarker-1])*(mass[i]-mass_0[lMarker-1])/(mass_0[lMarker]-mass_0[lMarker-1])+signal_0[lMarker-1]);
         }
     }
+
     TGraphErrors* g_signal_2 = new TGraphErrors(nPoints, &(mass[0]), interpol);
     g_signal_2->SetMarkerColor(kBlue);
     g_signal_2->SetMarkerStyle(20);
     g_signal_2->SetLineColor(0);
     g_signal_2->Draw("P");
     g_signal_0->Draw("P");
-    
-    
+
     TF1 *fit_pol = new TF1("fit_pol",pol_line,100,1000,4);
     fit_pol->SetParameter(0, 1500.);
     fit_pol->SetParameter(1, -13.);
@@ -584,14 +526,30 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
     fit_pol->SetParName(2, "x_2");
     fit_pol->SetParName(3, "x_3");
     if (flag_MMR) {
-        g_signal_0->Fit(fit_pol,"","", 400,1000);
+        g_signal_0->Fit(fit_pol,"","", 550,1200);
     }
     else{
         if (range==1){
-            g_signal_0->Fit(fit_pol,"","",250,400);}
-        else{g_signal_0->Fit(fit_pol,"","",260,550);}
+            g_signal_0->Fit(fit_pol,"","",260,400);}
+        else{g_signal_0->Fit(fit_pol,"","",260,650);}
     }
+ 
+    TGraphErrors* g_pull = new TGraphErrors(nPoints);
+    g_pull->SetMarkerStyle(7);
+    g_pull->SetMarkerSize(0.4);
     
+    for (unsigned i = 0; i<nPoints; i++) {
+        bool trovato = false;
+        for (double m : mass_0) {
+            if (m == mass[i]) {
+                trovato=true;
+            }
+        }
+        if (!trovato) {
+            double temp = (interpol[i]-fit_pol->Eval(mass[i]))/fit_pol->Eval(mass[i]);
+            g_pull->SetPoint(i, mass[i],temp);
+        }
+    }     
         
     TLegend *leg=new TLegend(0.2, 0.65, 0.65, 0.85);
     leg->SetFillStyle(1); leg->SetFillColor(kWhite);
@@ -604,12 +562,11 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
     leg->SetBorderSize(0);
     leg->Draw();
 
-
-
     p_2->cd();
     TLine* line;
+    g_pull->Draw("P"); 
     if (flag_MMR) {
-        line= new TLine(350, 0, 1200, 0);
+        line= new TLine(350, 0, 1300, 0);
     }
     else{
         line= new TLine(250, 0, 550, 0);
@@ -617,16 +574,14 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
     line->SetLineStyle(2);
     line->SetLineWidth(1);
     line->Draw();
-
-
          
     if (flag_MMR) {
-        c1->SaveAs("interpolation_MMR.pdf");
-        c1->SaveAs("interpolation_MMR.png");
+        c1->SaveAs("interpolation_yield_MMR.pdf");
+        c1->SaveAs("interpolation_yield_MMR.png");
         
     } else {
-        c1->SaveAs("interpolation_LMR.pdf");
-        c1->SaveAs("interpolation_LMR.png");   
+        c1->SaveAs(Form("interpolation_yield_LMR_%d.pdf",range));
+        c1->SaveAs(Form("interpolation_yield_LMR_%d.png",range));   
     }
     
     for (unsigned i = 0; i<nPoints; i++) {
@@ -700,43 +655,41 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
         p_syst1[syst_num]->cd();
         if (flag_MMR) {
             if (range==1){
-                h_syst_1[syst_num] = c2[syst_num]->DrawFrame(500,1,1050,1.10);
+                h_syst_1[syst_num] = c2[syst_num]->DrawFrame(500,1,1250,1.10);
             }
             else{
-                h_syst_1[syst_num] = c2[syst_num]->DrawFrame(500,1,1050,1.10);
+                h_syst_1[syst_num] = c2[syst_num]->DrawFrame(500,1,1250,1.10);
             }
             h_syst_1[syst_num]->SetTitle(Form("Interpolation of %s in MMR",name_syst[syst_num].c_str()));
         } else {
             if (range==1){
                 switch (syst_num) {
-                    case 0: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.065,370,1.10); break;
-                    case 1: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.005,370,1.10); break;
-                    case 2: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1,370,1.10); break;
-                    case 3: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1,370,1.10); break;
-                    case 4: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1,370,1.10); break;
+                    case 0: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.0,370,1.30); break;
+                    case 1: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,0.97,370,1.07); break;
+                    case 2: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,0.95,370,1.05); break;
+                    case 3: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.0,370,1.05); break;
+                    case 4: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.05,370,1.15); break;
                 }
             }
             else{
                 switch (syst_num) {
-                    case 0: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.065,600,1.10); break;
-                    case 1: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.005,600,1.10); break;
-                    case 2: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1,600,1.10); break;
-                    case 3: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1,600,1.10); break;
-                    case 4: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1,600,1.10); break;
+                    case 0: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.0,650,1.30); break;
+                    case 1: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,0.97,650,1.07); break;
+                    case 2: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,0.95,650,1.05); break;
+                    case 3: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1,650,1.05); break;
+                    case 4: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.05,650,1.15); break;
                 }
 
-                //h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1,600,1.10);
-
             }
             h_syst_1[syst_num]->SetTitle(Form("Interpolation of %s in LMR",name_syst[syst_num].c_str()));
         }
-        h_syst_1[syst_num]->SetXTitle("m_X (GeV)");
+        h_syst_1[syst_num]->SetXTitle("m_{X} (GeV)");
         h_syst_1[syst_num]->GetYaxis()->SetTitleOffset(1.2);
         h_syst_1[syst_num]->SetYTitle(Form("%s",name_syst[syst_num].c_str()));
         p_syst2[syst_num]->cd();
         if (flag_MMR) {
-            if (range==1){h_syst_2[syst_num] = c2[syst_num]->DrawFrame(500,-0.07,1100,0.07);}
-            else{h_syst_2[syst_num] = c2[syst_num]->DrawFrame(500,-0.07,1100,0.07);}
+            if (range==1){h_syst_2[syst_num] = c2[syst_num]->DrawFrame(500,-0.07,1250,0.07);}
+            else{h_syst_2[syst_num] = c2[syst_num]->DrawFrame(500,-0.07,1250,0.07);}
         } else {
             if (range==1){
                 switch (syst_num) {
@@ -747,16 +700,16 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
                 }
             }
             else{
-                h_syst_2[syst_num] = c2[syst_num]->DrawFrame(250,-0.002,600,0.002);
+                h_syst_2[syst_num] = c2[syst_num]->DrawFrame(250,-0.002,650,0.002);
             }
         }
-        h_syst_2[syst_num]->SetXTitle("m_X (GeV)");
+        h_syst_2[syst_num]->SetXTitle("m_{X} (GeV)");
         h_syst_2[syst_num]->GetXaxis()->SetTitleOffset(0.6);
         h_syst_2[syst_num]->GetXaxis()->SetTitleSize(0.08);
         h_syst_2[syst_num]->GetYaxis()->SetTitleOffset(0.5);
         h_syst_2[syst_num]->GetYaxis()->SetTitleSize(0.08);
         h_syst_2[syst_num]->SetLabelSize(0.06,"xy");
-        h_syst_2[syst_num]->SetYTitle("Relative errors");
+        h_syst_2[syst_num]->SetYTitle("Relative errors (Pol. fit)");
         
         g_syst_0[syst_num] = new TGraphErrors(nPoints_0, &(mass_0[0]), syst_0[syst_num]);
         g_syst_0[syst_num]->SetMarkerColor(kRed);
@@ -765,18 +718,30 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
         c2[syst_num]->cd();
         p_syst1[syst_num]->cd();
         g_syst_0[syst_num]->Draw("P");
-        //j=0;
+
 
         //Code for Spline  
         for (unsigned i = 0; i<nPoints_0; i++) {
             sp_syst_0[i]= syst_0[syst_num][i];
+            cout<<"This is the spline mc input: "<<sp_syst_0[i]<<endl;
         }
         sp_syst[syst_num] = new TSpline3(Form("Spline_syst_%d",syst_num), &(mass_0[0]), sp_syst_0, nPoints_0, "b2e2", 0, 0);
         sp_syst[syst_num]->SetLineColor(kGreen+2);   
+        j=0;
         for (unsigned i = 0; i<nPoints; i++) {
-            interpol_syst_0[syst_num][i]=sp_syst[syst_num]->Eval(mass[i]);
+            if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){
+                interpol_syst_0[syst_num][i]=syst_0[syst_num][j];
+                cout<<"This is the mc: "<<interpol_syst_0[syst_num][i]<<endl;
+                j++;
+            }
+            else{
+                interpol_syst_0[syst_num][i]=sp_syst[syst_num]->Eval(mass[i]);
+                cout<<"This is the interpolation: "<<interpol_syst_0[syst_num][i]<<endl;
+            }
+
         }
          
+
         g_syst_1[syst_num] = new TGraphErrors(nPoints, &(mass[0]), interpol_syst_0[syst_num]);
         g_syst_1[syst_num]->SetMarkerColor(kBlue);
         g_syst_1[syst_num]->SetMarkerStyle(20);
@@ -784,7 +749,7 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
         g_syst_1[syst_num]->Draw("P");
         g_syst_0[syst_num]->Draw("P");
         
-        fit_pol_syst[syst_num] = new TF1(Form("fit_pol_syst_%d", syst_num),Form("pol%d",nPoints_0-1),100,1000);
+        fit_pol_syst[syst_num] = new TF1(Form("fit_pol_syst_%d", syst_num),Form("pol%d",nPoints_0-1),100,1250);
         fit_pol_syst[syst_num]->SetParameter(0, 1.);
         fit_pol_syst[syst_num]->SetParameter(1, -13.);
         fit_pol_syst[syst_num]->SetParameter(2, 0.07 );
@@ -794,10 +759,10 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
         fit_pol_syst[syst_num]->SetParName(2, "x_2");
         fit_pol_syst[syst_num]->SetParName(3, "x_3");
         sp_syst[syst_num]->Draw("lsame");
-        if (flag_MMR) {g_syst_0[syst_num]->Fit(fit_pol_syst[syst_num],"","", 540,1010);}
+        if (flag_MMR) {g_syst_0[syst_num]->Fit(fit_pol_syst[syst_num],"","", 550,1250);}
         else{
-            if (range==1){g_syst_0[syst_num]->Fit(fit_pol_syst[syst_num],"","",259,351);}
-            else{g_syst_0[syst_num]->Fit(fit_pol_syst[syst_num],"","",260,600);}
+            if (range==1){g_syst_0[syst_num]->Fit(fit_pol_syst[syst_num],"","",260,350);}
+            else{g_syst_0[syst_num]->Fit(fit_pol_syst[syst_num],"","",260,650);}
         }       
 
         //Pull for interpolated errors
@@ -830,10 +795,10 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
         g_pull_syst[syst_num]->Draw("P");
         if (flag_MMR) {
             if (range==1){
-                line= new TLine(350, 0, 1200, 0);
+                line= new TLine(350, 0, 1250, 0);
             }
             else{
-                line= new TLine(350, 0, 1200, 0);
+                line= new TLine(350, 0, 1250, 0);
             }
         }
         else{
@@ -841,7 +806,7 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
                 line= new TLine(250, 0, 370, 0);
             }
             else{
-                line= new TLine(250, 0, 600, 0);
+                line= new TLine(250, 0, 650, 0);
             }
             
         }
@@ -870,9 +835,6 @@ void interpolation_normalization(bool flag_MMR, std::string function, std::strin
 }
 
 
-
-
-
 //================================================================================
 
 Double_t straight_line(Double_t *x, Double_t *par)
diff --git a/PDFSyst.py b/PDFSyst.py
index ad769d6..d0d7751 100644
--- a/PDFSyst.py
+++ b/PDFSyst.py
@@ -6,7 +6,7 @@ def PDFsyst(mass, location):
     
   if location==0:
 	print("fnal")
-  	path="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25/"
+  	path="/eos/uscms/store/user/guerrero/HeppyNtuples/V25/"
   elif location==1:
 	print("pisa")
   	path="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original/"
@@ -17,6 +17,10 @@ def PDFsyst(mass, location):
   if(mass==1000) :
 	print("1000")
 	_file0 = ROOT.TFile.Open(path+"BulkGravTohhTohbbhbb_narrow_M-"+str(mass)+"_13TeV-madgraph.root")
+  if(mass==1200) :
+        print("1200")
+        _file0 = ROOT.TFile.Open(path+"BulkGravTohhTohbbhbb_narrow_M-"+str(mass)+"_13TeV-madgraph.root")
+
   tree = _file0.Get("tree")
   CountWeighted = _file0.Get("CountWeighted")
   CountWeightedLHEWeightPdf = _file0.Get("CountWeightedLHEWeightPdf")
diff --git a/PDFs/trig.log b/PDFs/trig.log
index 894fe57..5fa3760 100644
--- a/PDFs/trig.log
+++ b/PDFs/trig.log
@@ -6,9 +6,10 @@ trig400 1.0943615895
 trig450 1.0861090745
 trig500 1.0733235575
 trig550 1.0697740714
-trig600 1.0697740714
+trig600 1.06723
 trig650 1.0648885684
 trig750 1.0624078267
 trig800 1.0573539334
 trig900 1.0573539334
 trig1000 1.0573539334
+trig1200 1.0573539334
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ec3992e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-jl2Bsm.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.10459e-10  -1.10459e-10/+0.411704  (68% CL)
+nll S+B -> -0.0161918  nll B -> -0.0161918
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ba4e864
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.871094
+Sigma  for expected limits: 0.444444
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -5.71368 (r = 1.91825e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -13.4967 (r = 2.09248e-06)
+At r = 7.211415:	q_mu = 97.95010	q_A  = 97.76285	CLsb = 0.00000	CLb  = 0.49622	CLs  = 0.00000
+At r = 3.605707:	q_mu = 40.86396	q_A  = 40.75859	CLsb = 0.00000	CLb  = 0.49671	CLs  = 0.00000
+At r = 1.802854:	q_mu = 14.00070	q_A  = 13.94548	CLsb = 0.00009	CLb  = 0.49705	CLs  = 0.00018
+At r = 0.901427:	q_mu = 4.14144	q_A  = 4.11451	CLsb = 0.02092	CLb  = 0.49735	CLs  = 0.04207
+At r = 0.450714:	q_mu = 1.16596	q_A  = 1.15296	CLsb = 0.14011	CLb  = 0.49759	CLs  = 0.28159
+At r = 0.676070:	q_mu = 2.44896	q_A  = 2.42907	CLsb = 0.05880	CLb  = 0.49745	CLs  = 0.11820
+At r = 0.826209:	q_mu = 3.53411	q_A  = 3.50954	CLsb = 0.03006	CLb  = 0.49738	CLs  = 0.06043
+At r = 0.857689:	q_mu = 3.78331	q_A  = 3.75775	CLsb = 0.02588	CLb  = 0.49737	CLs  = 0.05204
+At r = 0.873010:	q_mu = 3.90720	q_A  = 3.88116	CLsb = 0.02404	CLb  = 0.49736	CLs  = 0.04833
+At r = 0.864320:	q_mu = 3.83671	q_A  = 3.81095	CLsb = 0.02507	CLb  = 0.49737	CLs  = 0.05041
+At r = 0.867396:	q_mu = 3.86160	q_A  = 3.83574	CLsb = 0.02470	CLb  = 0.49737	CLs  = 0.04966
+At r = 0.865661:	q_mu = 3.84755	q_A  = 3.82174	CLsb = 0.02491	CLb  = 0.49737	CLs  = 0.05008
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8657
+Expected  2.5%: r < 0.4458
+Expected 16.0%: r < 0.6069
+Expected 50.0%: r < 0.8711
+Expected 84.0%: r < 1.2496
+Expected 97.5%: r < 1.7360
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
new file mode 100644
index 0000000..c3f83cd
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_260.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  191.924 15384	191.924
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06823    -	-
+JER       lnN     1.02103   - 	-
+JEC       lnN     1.01807   -	-
+trigger   lnN     1.0899073597   -   -
+PDF       lnN     1.01504940545   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.033
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..60c99be
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-YDqiE7.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 5.5924e-09  -5.5924e-09/+0.0974413  (68% CL)
+nll S+B -> -0.0326825  nll B -> -0.0326825
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..120f061
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.855469
+Sigma  for expected limits: 0.436472
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -13.6439 (r = 1.37555e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -12.5786 (r = 1.18461e-12)
+At r = 1.200000:	q_mu = 16.67565	q_A  = 6.98851	CLsb = 0.00000	CLb  = 0.03346	CLs  = 0.00011
+At r = 0.600000:	q_mu = 7.24584	q_A  = 2.05539	CLsb = 0.00059	CLb  = 0.03513	CLs  = 0.01678
+At r = 0.300000:	q_mu = 3.29063	q_A  = 0.62600	CLsb = 0.00666	CLb  = 0.04610	CLs  = 0.14446
+At r = 0.478289:	q_mu = 5.56866	q_A  = 1.38297	CLsb = 0.00156	CLb  = 0.03757	CLs  = 0.04153
+At r = 0.421391:	q_mu = 4.81768	q_A  = 1.11135	CLsb = 0.00246	CLb  = 0.03938	CLs  = 0.06249
+At r = 0.446230:	q_mu = 5.14283	q_A  = 1.22651	CLsb = 0.00202	CLb  = 0.03852	CLs  = 0.05234
+At r = 0.457717:	q_mu = 5.29463	q_A  = 1.28157	CLsb = 0.00184	CLb  = 0.03816	CLs  = 0.04819
+At r = 0.451327:	q_mu = 5.21008	q_A  = 1.25080	CLsb = 0.00194	CLb  = 0.03836	CLs  = 0.05046
+At r = 0.453630:	q_mu = 5.24051	q_A  = 1.26185	CLsb = 0.00190	CLb  = 0.03829	CLs  = 0.04963
+At r = 0.452352:	q_mu = 5.22363	q_A  = 1.25572	CLsb = 0.00192	CLb  = 0.03833	CLs  = 0.05009
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.4524
+Expected  2.5%: r < 0.4261
+Expected 16.0%: r < 0.5921
+Expected 50.0%: r < 0.8555
+Expected 84.0%: r < 1.2408
+Expected 97.5%: r < 1.7244
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt
new file mode 100644
index 0000000..42d2a81
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_265.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_265.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            202.486000   15384.000000   202.486000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068235    -    -  
+JER      lnN     1.018845    -    -  
+JEC      lnN     1.015113    -    -  
+trigger      lnN     1.082168    -    -  
+PDF      lnN     1.015115    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.054241 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/.nfs000000300a163622000004a4 b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/.nfs000000300a163622000004a4
new file mode 100644
index 0000000..ef5c6ed
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/.nfs000000300a163622000004a4
@@ -0,0 +1,2 @@
+
+Processing test.c...
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..f28f57d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-XpWmuv.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 5.68288e-10  -5.68288e-10/+0.102253  (68% CL)
+nll S+B -> -0.0459894  nll B -> -0.0459894
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..673fce7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.839844
+Sigma  for expected limits: 0.4285
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -12.6488 (r = 6.18841e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -12.1318 (r = 1.34226e-11)
+At r = 1.200000:	q_mu = 16.16637	q_A  = 7.15059	CLsb = 0.00001	CLb  = 0.04592	CLs  = 0.00014
+At r = 0.600000:	q_mu = 6.95634	q_A  = 2.15902	CLsb = 0.00096	CLb  = 0.05129	CLs  = 0.01875
+At r = 0.300000:	q_mu = 3.14183	q_A  = 0.68667	CLsb = 0.01044	CLb  = 0.06925	CLs  = 0.15079
+At r = 0.450000:	q_mu = 4.97169	q_A  = 1.32853	CLsb = 0.00314	CLb  = 0.05701	CLs  = 0.05504
+At r = 0.490708:	q_mu = 5.49557	q_A  = 1.53566	CLsb = 0.00228	CLb  = 0.05505	CLs  = 0.04137
+At r = 0.469098:	q_mu = 5.21606	q_A  = 1.42399	CLsb = 0.00270	CLb  = 0.05604	CLs  = 0.04817
+At r = 0.461008:	q_mu = 5.11224	q_A  = 1.38318	CLsb = 0.00288	CLb  = 0.05644	CLs  = 0.05098
+At r = 0.464838:	q_mu = 5.16133	q_A  = 1.40243	CLsb = 0.00279	CLb  = 0.05625	CLs  = 0.04963
+At r = 0.463222:	q_mu = 5.14061	q_A  = 1.39429	CLsb = 0.00283	CLb  = 0.05633	CLs  = 0.05019
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.4632
+Expected  2.5%: r < 0.4084
+Expected 16.0%: r < 0.5753
+Expected 50.0%: r < 0.8398
+Expected 84.0%: r < 1.2248
+Expected 97.5%: r < 1.7076
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
new file mode 100644
index 0000000..4a15dd9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_270.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  213.048 15384	213.048
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06825    -	-
+JER       lnN     1.01721   - 	-
+JEC       lnN     1.01241   -	-
+trigger   lnN     1.0760638829   -   -
+PDF       lnN     1.01516984881   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.071
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
new file mode 100644
index 0000000..80510b1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_270.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  213.048 21478	213.048
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06825    -	-
+JER       lnN     1.01721   - 	-
+JEC       lnN     1.01241   -	-
+trigger   lnN     1.0760638829   -   -
+PDF       lnN     1.01516984881   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..0bc7699
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-qTMGNQ.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 6.62065e-08  -6.62065e-08/+0.173051  (68% CL)
+nll S+B -> -0.0662849  nll B -> -0.0662845
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1f14072
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.751953
+Sigma  for expected limits: 0.383657
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -10.9295 (r = 3.00826e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -14.6376 (r = 1.53547e-10)
+At r = 1.200000:	q_mu = 12.78379	q_A  = 8.67252	CLsb = 0.00013	CLb  = 0.24258	CLs  = 0.00056
+At r = 0.600000:	q_mu = 4.78282	q_A  = 2.60377	CLsb = 0.01104	CLb  = 0.24977	CLs  = 0.04422
+At r = 0.300000:	q_mu = 1.92347	q_A  = 0.81394	CLsb = 0.06462	CLb  = 0.26931	CLs  = 0.23995
+At r = 0.450000:	q_mu = 3.24357	q_A  = 1.59230	CLsb = 0.02767	CLb  = 0.25646	CLs  = 0.10790
+At r = 0.553472:	q_mu = 4.28293	q_A  = 2.26592	CLsb = 0.01481	CLb  = 0.25144	CLs  = 0.05888
+At r = 0.574724:	q_mu = 4.50881	q_A  = 2.41760	CLsb = 0.01296	CLb  = 0.25064	CLs  = 0.05172
+At r = 0.584138:	q_mu = 4.61019	q_A  = 2.48621	CLsb = 0.01222	CLb  = 0.25031	CLs  = 0.04880
+At r = 0.579105:	q_mu = 4.55588	q_A  = 2.44941	CLsb = 0.01261	CLb  = 0.25048	CLs  = 0.05034
+At r = 0.580992:	q_mu = 4.57622	q_A  = 2.46318	CLsb = 0.01246	CLb  = 0.25042	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5810
+Expected  2.5%: r < 0.3657
+Expected 16.0%: r < 0.5151
+Expected 50.0%: r < 0.7520
+Expected 84.0%: r < 1.0966
+Expected 97.5%: r < 1.5289
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt
new file mode 100644
index 0000000..dafee99
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_275.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_275.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            228.227667   15384.000000   228.227667 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068281    -    -  
+JER      lnN     1.016540    -    -  
+JEC      lnN     1.010165    -    -  
+trigger      lnN     1.072849    -    -  
+PDF      lnN     1.015208    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.079832 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt
new file mode 100644
index 0000000..e27cbb3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_275.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_275.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            228.227667   21478.000000   228.227667 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068313    -    -  
+JER      lnN     1.018186    -    -  
+JEC      lnN     1.010741    -    -  
+trigger      lnN     1.077232    -    -  
+PDF      lnN     1.015202    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.008399 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..a307b15
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-MjNcd0.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.59316e-07  -1.59316e-07/+0.362827  (68% CL)
+nll S+B -> -0.0524873  nll B -> -0.0524869
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b32b129
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.732422
+Sigma  for expected limits: 0.373692
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -6.80886 (r = 8.60386e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -14.619 (r = 1.16866e-09)
+At r = 5.511343:	q_mu = 89.67971	q_A  = 90.53908	CLsb = 0.00000	CLb  = 0.51805	CLs  = 0.00000
+At r = 2.755671:	q_mu = 34.37855	q_A  = 35.04466	CLsb = 0.00000	CLb  = 0.52254	CLs  = 0.00000
+At r = 1.377836:	q_mu = 10.84684	q_A  = 11.49441	CLsb = 0.00049	CLb  = 0.53859	CLs  = 0.00092
+At r = 0.688918:	q_mu = 3.16899	q_A  = 3.43798	CLsb = 0.03752	CLb  = 0.52950	CLs  = 0.07087
+At r = 1.033377:	q_mu = 6.61856	q_A  = 6.99415	CLsb = 0.00505	CLb  = 0.52869	CLs  = 0.00954
+At r = 0.861147:	q_mu = 4.75962	q_A  = 5.08419	CLsb = 0.01457	CLb  = 0.52916	CLs  = 0.02753
+At r = 0.774189:	q_mu = 3.92121	q_A  = 4.21832	CLsb = 0.02384	CLb  = 0.52936	CLs  = 0.04504
+At r = 0.741402:	q_mu = 3.62360	q_A  = 3.91003	CLsb = 0.02848	CLb  = 0.52942	CLs  = 0.05380
+At r = 0.758766:	q_mu = 3.77993	q_A  = 4.07202	CLsb = 0.02594	CLb  = 0.52938	CLs  = 0.04899
+At r = 0.752270:	q_mu = 3.72111	q_A  = 4.01109	CLsb = 0.02686	CLb  = 0.52940	CLs  = 0.05075
+At r = 0.755756:	q_mu = 3.75262	q_A  = 4.04373	CLsb = 0.02636	CLb  = 0.52939	CLs  = 0.04980
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.7558
+Expected  2.5%: r < 0.3619
+Expected 16.0%: r < 0.5052
+Expected 50.0%: r < 0.7324
+Expected 84.0%: r < 1.0682
+Expected 97.5%: r < 1.4892
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt
new file mode 100644
index 0000000..992a62e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_280.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_280.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            243.407333   15384.000000   243.407333 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068322    -    -  
+JER      lnN     1.016702    -    -  
+JEC      lnN     1.008382    -    -  
+trigger      lnN     1.072250    -    -  
+PDF      lnN     1.015233    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.081429 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt
new file mode 100644
index 0000000..761e45f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_280.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_280.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            243.407333   21478.000000   243.407333 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068369    -    -  
+JER      lnN     1.019083    -    -  
+JEC      lnN     1.009146    -    -  
+trigger      lnN     1.078395    -    -  
+PDF      lnN     1.015233    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.016444 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..4176bbc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-YrZRkF.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.163068  -0.163068/+0.336964  (68% CL)
+nll S+B -> -0.147408  nll B -> -0.0270481
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1d77e3a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.630859
+Sigma  for expected limits: 0.321873
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -7.65443 (r = 0.163322)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -18.6964 (r = 1.46827e-06)
+At r = 1.363322:	q_mu = 10.74596	q_A  = 14.96952	CLsb = 0.00052	CLb  = 0.72272	CLs  = 0.00072
+At r = 0.763322:	q_mu = 3.03043	q_A  = 5.42906	CLsb = 0.04086	CLb  = 0.72214	CLs  = 0.05658
+At r = 1.063322:	q_mu = 6.49019	q_A  = 9.76696	CLsb = 0.00542	CLb  = 0.71824	CLs  = 0.00755
+At r = 0.913322:	q_mu = 4.62415	q_A  = 7.47467	CLsb = 0.01576	CLb  = 0.72026	CLs  = 0.02188
+At r = 0.808939:	q_mu = 3.48437	q_A  = 6.02311	CLsb = 0.03098	CLb  = 0.72158	CLs  = 0.04293
+At r = 0.788782:	q_mu = 3.28036	q_A  = 5.75749	CLsb = 0.03506	CLb  = 0.72183	CLs  = 0.04857
+At r = 0.779809:	q_mu = 3.19129	q_A  = 5.64083	CLsb = 0.03702	CLb  = 0.72194	CLs  = 0.05127
+At r = 0.784931:	q_mu = 3.24199	q_A  = 5.70729	CLsb = 0.03589	CLb  = 0.72188	CLs  = 0.04971
+At r = 0.783142:	q_mu = 3.22424	q_A  = 5.68404	CLsb = 0.03628	CLb  = 0.72190	CLs  = 0.05025
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.7831
+Expected  2.5%: r < 0.3191
+Expected 16.0%: r < 0.4385
+Expected 50.0%: r < 0.6309
+Expected 84.0%: r < 0.9100
+Expected 97.5%: r < 1.2605
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt
new file mode 100644
index 0000000..317abfe
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_285.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_285.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            258.587000   15384.000000   258.587000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068362    -    -  
+JER      lnN     1.017427    -    -  
+JEC      lnN     1.007016    -    -  
+trigger      lnN     1.073612    -    -  
+PDF      lnN     1.015252    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.077517 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt
new file mode 100644
index 0000000..18c48b6
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_285.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_285.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            258.587000   21478.000000   258.587000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068410    -    -  
+JER      lnN     1.019821    -    -  
+JEC      lnN     1.007697    -    -  
+trigger      lnN     1.079550    -    -  
+PDF      lnN     1.015262    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.023781 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..a09b865
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-cFmRAv.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.197491  -0.197491/+0.331546  (68% CL)
+nll S+B -> -0.205794  nll B -> -0.0224545
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..da8a083
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.619141
+Sigma  for expected limits: 0.315894
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -7.73267 (r = 0.197359)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -19.5942 (r = 1.96868e-06)
+At r = 1.397359:	q_mu = 11.16321	q_A  = 16.07932	CLsb = 0.00042	CLb  = 0.74818	CLs  = 0.00056
+At r = 0.797359:	q_mu = 3.11650	q_A  = 6.07211	CLsb = 0.03875	CLb  = 0.75766	CLs  = 0.05115
+At r = 1.097359:	q_mu = 6.65666	q_A  = 10.65430	CLsb = 0.00494	CLb  = 0.75303	CLs  = 0.00656
+At r = 0.947359:	q_mu = 4.74936	q_A  = 8.24197	CLsb = 0.01465	CLb  = 0.75540	CLs  = 0.01940
+At r = 0.830164:	q_mu = 3.44841	q_A  = 6.52423	CLsb = 0.03166	CLb  = 0.75718	CLs  = 0.04181
+At r = 0.806870:	q_mu = 3.21123	q_A  = 6.20185	CLsb = 0.03657	CLb  = 0.75752	CLs  = 0.04827
+At r = 0.802243:	q_mu = 3.16499	q_A  = 6.13859	CLsb = 0.03762	CLb  = 0.75759	CLs  = 0.04965
+At r = 0.800347:	q_mu = 3.14613	q_A  = 6.11275	CLsb = 0.03805	CLb  = 0.75762	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8003
+Expected  2.5%: r < 0.3132
+Expected 16.0%: r < 0.4291
+Expected 50.0%: r < 0.6191
+Expected 84.0%: r < 0.8931
+Expected 97.5%: r < 1.2371
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/datacard_290_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/datacard_290_gaus_exp_250_330.txt
new file mode 100644
index 0000000..b46a479
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/datacard_290_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_290.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_290.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            273.766667   15384.000000   273.766667 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068390    -    -  
+JER      lnN     1.018447    -    -  
+JEC      lnN     1.006021    -    -  
+trigger      lnN     1.076281    -    -  
+PDF      lnN     1.015270    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.069824 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..52ccebc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-wih5Ws.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.407119  -0.31841/+0.329461  (68% CL)
+nll S+B -> -0.817792  nll B -> -0.00741769
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0382ca1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.100425 (0.005021 times rMax), while it should be at zero
+Median for expected limits: 0.748047
+Sigma  for expected limits: 0.381664
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -18.8862 (r = 0.407114)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -23.954 (r = 0.10165)
+At r = 1.607114:	q_mu = 11.01311	q_A  = 17.52181	CLsb = 0.00045	CLb  = 0.80711	CLs  = 0.00056
+At r = 1.007114:	q_mu = 3.12526	q_A  = 7.16620	CLsb = 0.03854	CLb  = 0.81836	CLs  = 0.04710
+At r = 0.707114:	q_mu = 0.82387	q_A  = 3.37384	CLsb = 0.18203	CLb  = 0.82359	CLs  = 0.22101
+At r = 0.857114:	q_mu = 1.80755	q_A  = 5.12516	CLsb = 0.08940	CLb  = 0.82106	CLs  = 0.10888
+At r = 0.968555:	q_mu = 2.75671	q_A  = 6.61596	CLsb = 0.04842	CLb  = 0.81907	CLs  = 0.05912
+At r = 0.991291:	q_mu = 2.97181	q_A  = 6.93852	CLsb = 0.04236	CLb  = 0.81864	CLs  = 0.05175
+At r = 0.999077:	q_mu = 3.04680	q_A  = 7.05040	CLsb = 0.04045	CLb  = 0.81852	CLs  = 0.04942
+At r = 0.995933:	q_mu = 3.01635	q_A  = 7.00511	CLsb = 0.04121	CLb  = 0.81858	CLs  = 0.05035
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.9959
+Expected  2.5%: r < 0.4456
+Expected 16.0%: r < 0.5614
+Expected 50.0%: r < 0.7480
+Expected 84.0%: r < 1.0253
+Expected 97.5%: r < 1.3718
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/datacard_290_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/datacard_290_novo_285_625.txt
new file mode 100644
index 0000000..2e8d52d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/datacard_290_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_290.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_290.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            273.766667   21478.000000   273.766667 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068428    -    -  
+JER      lnN     1.020321    -    -  
+JEC      lnN     1.006467    -    -  
+trigger      lnN     1.080691    -    -  
+PDF      lnN     1.015289    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.030055 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..0db2c42
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-aYpxm1.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.000
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0804128  -0.0804128/+0.294376  (68% CL)
+nll S+B -> -0.0615219  nll B -> -0.0234669
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..3be6fdf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.572266
+Sigma  for expected limits: 0.291978
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -14.0202 (r = 0.0805799)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -24.2504 (r = 1.16607e-09)
+At r = 1.280580:	q_mu = 13.78809	q_A  = 16.15586	CLsb = 0.00010	CLb  = 0.62028	CLs  = 0.00016
+At r = 0.680580:	q_mu = 3.91798	q_A  = 5.29244	CLsb = 0.02389	CLb  = 0.62595	CLs  = 0.03816
+At r = 0.380580:	q_mu = 1.02757	q_A  = 1.79812	CLsb = 0.15537	CLb  = 0.62826	CLs  = 0.24729
+At r = 0.530580:	q_mu = 2.26158	q_A  = 3.34277	CLsb = 0.06631	CLb  = 0.62721	CLs  = 0.10572
+At r = 0.618757:	q_mu = 3.18727	q_A  = 4.44303	CLsb = 0.03711	CLb  = 0.62648	CLs  = 0.05923
+At r = 0.650179:	q_mu = 3.55054	q_A  = 4.86701	CLsb = 0.02976	CLb  = 0.62621	CLs  = 0.04753
+At r = 0.638105:	q_mu = 3.40894	q_A  = 4.70218	CLsb = 0.03242	CLb  = 0.62632	CLs  = 0.05177
+At r = 0.644446:	q_mu = 3.48299	q_A  = 4.78844	CLsb = 0.03100	CLb  = 0.62626	CLs  = 0.04950
+At r = 0.642042:	q_mu = 3.45484	q_A  = 4.75567	CLsb = 0.03153	CLb  = 0.62629	CLs  = 0.05035
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.6420
+Expected  2.5%: r < 0.2962
+Expected 16.0%: r < 0.4030
+Expected 50.0%: r < 0.5723
+Expected 84.0%: r < 0.8209
+Expected 97.5%: r < 1.1333
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/datacard_295_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/datacard_295_gaus_exp_250_330.txt
new file mode 100644
index 0000000..68b13cd
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_gaus_exp_250_330/datacard_295_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_295.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_295.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            288.946333   15384.000000   288.946333 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068396    -    -  
+JER      lnN     1.019490    -    -  
+JEC      lnN     1.005350    -    -  
+trigger      lnN     1.079600    -    -  
+PDF      lnN     1.015295    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.060076 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..1bb241e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-VOKSxi.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.161158  -0.161158/+0.338759  (68% CL)
+nll S+B -> -0.116996  nll B -> -0.00141711
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1c3a66a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.115600 (0.005780 times rMax), while it should be at zero
+Median for expected limits: 0.792969
+Sigma  for expected limits: 0.404583
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -23.3539 (r = 0.162239)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -24.1944 (r = 0.11385)
+At r = 1.362239:	q_mu = 10.77852	q_A  = 11.65330	CLsb = 0.00051	CLb  = 0.55196	CLs  = 0.00093
+At r = 0.762239:	q_mu = 3.00579	q_A  = 3.49051	CLsb = 0.04148	CLb  = 0.55352	CLs  = 0.07494
+At r = 1.062239:	q_mu = 6.42381	q_A  = 7.11445	CLsb = 0.00563	CLb  = 0.55281	CLs  = 0.01018
+At r = 0.912239:	q_mu = 4.58174	q_A  = 5.17213	CLsb = 0.01616	CLb  = 0.55319	CLs  = 0.02921
+At r = 0.843778:	q_mu = 3.82746	q_A  = 4.37028	CLsb = 0.02521	CLb  = 0.55335	CLs  = 0.04556
+At r = 0.815278:	q_mu = 3.53054	q_A  = 4.05323	CLsb = 0.03012	CLb  = 0.55341	CLs  = 0.05443
+At r = 0.831860:	q_mu = 3.70215	q_A  = 4.23657	CLsb = 0.02717	CLb  = 0.55338	CLs  = 0.04910
+At r = 0.826209:	q_mu = 3.64324	q_A  = 4.17367	CLsb = 0.02815	CLb  = 0.55339	CLs  = 0.05087
+At r = 0.829537:	q_mu = 3.67787	q_A  = 4.21065	CLsb = 0.02757	CLb  = 0.55338	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8295
+Expected  2.5%: r < 0.4755
+Expected 16.0%: r < 0.5995
+Expected 50.0%: r < 0.7930
+Expected 84.0%: r < 1.0806
+Expected 97.5%: r < 1.4497
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/datacard_295_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/datacard_295_novo_285_625.txt
new file mode 100644
index 0000000..8475bb4
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/datacard_295_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_295.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_295.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            288.946333   21478.000000   288.946333 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068418    -    -  
+JER      lnN     1.020504    -    -  
+JEC      lnN     1.005531    -    -  
+trigger      lnN     1.081814    -    -  
+PDF      lnN     1.015313    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.034913 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..b9ede3a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-C3bVVm.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0054416  -0.0054416/+0.290957  (68% CL)
+nll S+B -> -0.0196293  nll B -> -0.019464
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..a97521f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.572266
+Sigma  for expected limits: 0.291978
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -16.2356 (r = 0.00580876)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -24.9223 (r = 3.70035e-06)
+At r = 7.176043:	q_mu = 158.95838	q_A  = 160.13167	CLsb = 0.00000	CLb  = 0.51852	CLs  = 0.00000
+At r = 3.590926:	q_mu = 72.80760	q_A  = 73.66780	CLsb = 0.00000	CLb  = 0.52004	CLs  = 0.00000
+At r = 1.798367:	q_mu = 27.37847	q_A  = 27.95084	CLsb = 0.00000	CLb  = 0.52170	CLs  = 0.00000
+At r = 0.902088:	q_mu = 8.46405	q_A  = 8.80013	CLsb = 0.00181	CLb  = 0.52281	CLs  = 0.00346
+At r = 0.453948:	q_mu = 2.30134	q_A  = 2.48104	CLsb = 0.06463	CLb  = 0.52317	CLs  = 0.12354
+At r = 0.678018:	q_mu = 4.98250	q_A  = 5.24383	CLsb = 0.01280	CLb  = 0.52304	CLs  = 0.02448
+At r = 0.554108:	q_mu = 3.38967	q_A  = 3.60666	CLsb = 0.03280	CLb  = 0.52313	CLs  = 0.06271
+At r = 0.602749:	q_mu = 3.98386	q_A  = 4.21850	CLsb = 0.02297	CLb  = 0.52310	CLs  = 0.04391
+At r = 0.578836:	q_mu = 3.68656	q_A  = 3.91256	CLsb = 0.02743	CLb  = 0.52312	CLs  = 0.05243
+At r = 0.588735:	q_mu = 3.80844	q_A  = 4.03803	CLsb = 0.02550	CLb  = 0.52311	CLs  = 0.04874
+At r = 0.583988:	q_mu = 3.74977	q_A  = 3.97764	CLsb = 0.02641	CLb  = 0.52311	CLs  = 0.05048
+At r = 0.585975:	q_mu = 3.77428	q_A  = 4.00287	CLsb = 0.02602	CLb  = 0.52311	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5860
+Expected  2.5%: r < 0.2995
+Expected 16.0%: r < 0.4050
+Expected 50.0%: r < 0.5723
+Expected 84.0%: r < 0.8209
+Expected 97.5%: r < 1.1333
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt
new file mode 100644
index 0000000..b6c8c2c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_300.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  304.126 15384	304.126
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06837    -	-
+JER       lnN     1.02029   - 	-
+JEC       lnN     1.00496   -	-
+trigger   lnN     1.0829156197   -   -
+PDF       lnN     1.01533148611   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.050
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..bb30d1d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-pnV833.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.66769e-10  -1.66769e-10/+0.27595  (68% CL)
+nll S+B -> -0.000293675  nll B -> -0.000293675
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..51aa2c3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.044017 (0.002201 times rMax), while it should be at zero
+Median for expected limits: 0.685547
+Sigma  for expected limits: 0.349775
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -28.0617 (r = 1.37607e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -26.5644 (r = 0.0433246)
+At r = 3.384321:	q_mu = 62.51617	q_A  = 59.08998	CLsb = 0.00000	CLb  = 0.41182	CLs  = 0.00000
+At r = 1.692161:	q_mu = 22.97001	q_A  = 20.67733	CLsb = 0.00000	CLb  = 0.40048	CLs  = 0.00000
+At r = 0.846081:	q_mu = 7.16993	q_A  = 5.83130	CLsb = 0.00355	CLb  = 0.39082	CLs  = 0.00909
+At r = 0.423041:	q_mu = 2.09306	q_A  = 1.38764	CLsb = 0.06978	CLb  = 0.38231	CLs  = 0.18253
+At r = 0.634561:	q_mu = 4.30952	q_A  = 3.27385	CLsb = 0.01806	CLb  = 0.38736	CLs  = 0.04662
+At r = 0.528801:	q_mu = 3.11380	q_A  = 2.23997	CLsb = 0.03684	CLb  = 0.38517	CLs  = 0.09565
+At r = 0.605175:	q_mu = 3.96053	q_A  = 2.96914	CLsb = 0.02217	CLb  = 0.38680	CLs  = 0.05733
+At r = 0.620729:	q_mu = 4.14375	q_A  = 3.12886	CLsb = 0.01990	CLb  = 0.38710	CLs  = 0.05142
+At r = 0.626656:	q_mu = 4.21453	q_A  = 3.19072	CLsb = 0.01909	CLb  = 0.38722	CLs  = 0.04931
+At r = 0.623897:	q_mu = 4.18150	q_A  = 3.16183	CLsb = 0.01947	CLb  = 0.38716	CLs  = 0.05028
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.6239
+Expected  2.5%: r < 0.3843
+Expected 16.0%: r < 0.4996
+Expected 50.0%: r < 0.6855
+Expected 84.0%: r < 0.9561
+Expected 97.5%: r < 1.3043
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/datacard_300_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/datacard_300_novo_285_625.txt
new file mode 100644
index 0000000..4b56cc7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/datacard_300_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_300.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  304.126 21478	304.126
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06837    -	-
+JER       lnN     1.02029   - 	-
+JEC       lnN     1.00496   -	-
+trigger   lnN     1.0829156197   -   -
+PDF       lnN     1.01533148611   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.038
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..d003afe
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-F1aTxL.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 7.57052e-08  -7.57052e-08/+0.179785  (68% CL)
+nll S+B -> -0.0488205  nll B -> -0.0488205
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c2e32af
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.525391
+Sigma  for expected limits: 0.268061
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -34.5718 (r = 4.60208e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -40.46 (r = 0.0135793)
+At r = 1.200000:	q_mu = 20.49123	q_A  = 17.38444	CLsb = 0.00000	CLb  = 0.35474	CLs  = 0.00001
+At r = 0.600000:	q_mu = 6.74007	q_A  = 4.97375	CLsb = 0.00432	CLb  = 0.34605	CLs  = 0.01248
+At r = 0.300000:	q_mu = 2.18023	q_A  = 1.25575	CLsb = 0.06263	CLb  = 0.33999	CLs  = 0.18420
+At r = 0.450000:	q_mu = 4.20139	q_A  = 2.84220	CLsb = 0.01835	CLb  = 0.34343	CLs  = 0.05344
+At r = 0.525000:	q_mu = 5.41135	q_A  = 3.84493	CLsb = 0.00913	CLb  = 0.34479	CLs  = 0.02648
+At r = 0.470691:	q_mu = 4.52271	q_A  = 3.10565	CLsb = 0.01522	CLb  = 0.34382	CLs  = 0.04426
+At r = 0.459988:	q_mu = 4.35529	q_A  = 2.96810	CLsb = 0.01678	CLb  = 0.34362	CLs  = 0.04882
+At r = 0.455883:	q_mu = 4.29176	q_A  = 2.91606	CLsb = 0.01741	CLb  = 0.34355	CLs  = 0.05068
+At r = 0.457887:	q_mu = 4.32273	q_A  = 2.94141	CLsb = 0.01710	CLb  = 0.34358	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.4579
+Expected  2.5%: r < 0.2842
+Expected 16.0%: r < 0.3775
+Expected 50.0%: r < 0.5254
+Expected 84.0%: r < 0.7411
+Expected 97.5%: r < 1.0188
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/datacard_310_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/datacard_310_gaus_exp_250_330.txt
new file mode 100644
index 0000000..e1eb7f3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/datacard_310_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_310.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_310.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            351.517600   15384.000000   351.517600 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068199    -    -  
+JER      lnN     1.020507    -    -  
+JEC      lnN     1.004865    -    -  
+trigger      lnN     1.087877    -    -  
+PDF      lnN     1.015458    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.033284 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..b778a48
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-CPOZgG.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 9.42304e-09  -9.42304e-09/+0.093114  (68% CL)
+nll S+B -> -0.0161166  nll B -> -0.0161166
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ce1b5a7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.525391
+Sigma  for expected limits: 0.268061
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -46.3547 (r = 3.33401e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -37.2592 (r = 0.0149878)
+At r = 1.200000:	q_mu = 26.78275	q_A  = 17.43018	CLsb = 0.00000	CLb  = 0.13134	CLs  = 0.00000
+At r = 0.600000:	q_mu = 10.30674	q_A  = 4.95405	CLsb = 0.00030	CLb  = 0.11460	CLs  = 0.00265
+At r = 0.300000:	q_mu = 4.06280	q_A  = 1.24226	CLsb = 0.00866	CLb  = 0.10288	CLs  = 0.08417
+At r = 0.450000:	q_mu = 6.95453	q_A  = 2.82354	CLsb = 0.00181	CLb  = 0.10950	CLs  = 0.01653
+At r = 0.368393:	q_mu = 5.31862	q_A  = 1.89016	CLsb = 0.00437	CLb  = 0.10622	CLs  = 0.04118
+At r = 0.339866:	q_mu = 4.78159	q_A  = 1.60467	CLsb = 0.00586	CLb  = 0.10493	CLs  = 0.05581
+At r = 0.353825:	q_mu = 5.04200	q_A  = 1.74162	CLsb = 0.00508	CLb  = 0.10557	CLs  = 0.04815
+At r = 0.348177:	q_mu = 4.93609	q_A  = 1.68557	CLsb = 0.00538	CLb  = 0.10531	CLs  = 0.05112
+At r = 0.350981:	q_mu = 4.98857	q_A  = 1.71329	CLsb = 0.00523	CLb  = 0.10544	CLs  = 0.04963
+At r = 0.349854:	q_mu = 4.96745	q_A  = 1.70212	CLsb = 0.00529	CLb  = 0.10539	CLs  = 0.05022
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.3499
+Expected  2.5%: r < 0.2863
+Expected 16.0%: r < 0.3778
+Expected 50.0%: r < 0.5254
+Expected 84.0%: r < 0.7411
+Expected 97.5%: r < 1.0188
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/datacard_310_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/datacard_310_novo_285_625.txt
new file mode 100644
index 0000000..b24ae83
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/datacard_310_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_310.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_310.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            351.517600   21478.000000   351.517600 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068153    -    -  
+JER      lnN     1.018596    -    -  
+JEC      lnN     1.005006    -    -  
+trigger      lnN     1.085035    -    -  
+PDF      lnN     1.015363    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.038337 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..41bbede
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-9MRW3O.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.91721e-08  -2.91721e-08/+0.0935048  (68% CL)
+nll S+B -> -0.0462268  nll B -> -0.0462268
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..7e76c59
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.084260 (0.004213 times rMax), while it should be at zero
+Median for expected limits: 0.533203
+Sigma  for expected limits: 0.272047
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -61.2312 (r = 1.01319e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -59.9342 (r = 0.0844177)
+At r = 1.200000:	q_mu = 30.23854	q_A  = 19.14578	CLsb = 0.00000	CLb  = 0.10248	CLs  = 0.00000
+At r = 0.600000:	q_mu = 11.42589	q_A  = 4.95020	CLsb = 0.00012	CLb  = 0.07280	CLs  = 0.00160
+At r = 0.300000:	q_mu = 4.32087	q_A  = 0.92864	CLsb = 0.00323	CLb  = 0.03920	CLs  = 0.08234
+At r = 0.450000:	q_mu = 7.59008	q_A  = 2.58745	CLsb = 0.00078	CLb  = 0.05997	CLs  = 0.01299
+At r = 0.375000:	q_mu = 5.87644	q_A  = 1.66248	CLsb = 0.00173	CLb  = 0.05112	CLs  = 0.03386
+At r = 0.333677:	q_mu = 4.99873	q_A  = 1.23359	CLsb = 0.00251	CLb  = 0.04504	CLs  = 0.05575
+At r = 0.349152:	q_mu = 5.32165	q_A  = 1.38726	CLsb = 0.00220	CLb  = 0.04744	CLs  = 0.04637
+At r = 0.340987:	q_mu = 5.15037	q_A  = 1.30512	CLsb = 0.00236	CLb  = 0.04619	CLs  = 0.05112
+At r = 0.344102:	q_mu = 5.21548	q_A  = 1.33618	CLsb = 0.00230	CLb  = 0.04667	CLs  = 0.04926
+At r = 0.342473:	q_mu = 5.18140	q_A  = 1.31989	CLsb = 0.00233	CLb  = 0.04642	CLs  = 0.05022
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.3425
+Expected  2.5%: r < 0.3228
+Expected 16.0%: r < 0.4034
+Expected 50.0%: r < 0.5332
+Expected 84.0%: r < 0.7266
+Expected 97.5%: r < 0.9748
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/datacard_320_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/datacard_320_gaus_exp_250_330.txt
new file mode 100644
index 0000000..521f18d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/datacard_320_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_320.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_320.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            398.909200   15384.000000   398.909200 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067891    -    -  
+JER      lnN     1.019080    -    -  
+JEC      lnN     1.005519    -    -  
+trigger      lnN     1.090731    -    -  
+PDF      lnN     1.015645    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.021045 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..1099488
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-rgxMDX.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0  -0/+0.0379882  (68% CL)
+nll S+B -> -0.0876085  nll B -> -0.0876085
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..9184658
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.435547
+Sigma  for expected limits: 0.222222
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -72.7331 (r = 5.80011e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -49.0019 (r = 0.00935973)
+At r = 1.200000:	q_mu = 46.22218	q_A  = 23.61288	CLsb = 0.00000	CLb  = 0.01000	CLs  = 0.00000
+At r = 0.600000:	q_mu = 20.56848	q_A  = 7.07948	CLsb = 0.00000	CLb  = 0.00563	CLs  = 0.00002
+At r = 0.300000:	q_mu = 9.15678	q_A  = 1.85024	CLsb = 0.00003	CLb  = 0.00362	CLs  = 0.00720
+At r = 0.150000:	q_mu = 4.21425	q_A  = 0.44514	CLsb = 0.00024	CLb  = 0.00237	CLs  = 0.10135
+At r = 0.225000:	q_mu = 6.60529	q_A  = 1.03337	CLsb = 0.00009	CLb  = 0.00307	CLs  = 0.02802
+At r = 0.182977:	q_mu = 5.24442	q_A  = 0.67473	CLsb = 0.00016	CLb  = 0.00270	CLs  = 0.05815
+At r = 0.198336:	q_mu = 5.73573	q_A  = 0.79734	CLsb = 0.00013	CLb  = 0.00284	CLs  = 0.04466
+At r = 0.190005:	q_mu = 5.46833	q_A  = 0.72960	CLsb = 0.00014	CLb  = 0.00277	CLs  = 0.05155
+At r = 0.193092:	q_mu = 5.56716	q_A  = 0.75436	CLsb = 0.00014	CLb  = 0.00280	CLs  = 0.04889
+At r = 0.191429:	q_mu = 5.51388	q_A  = 0.74097	CLsb = 0.00014	CLb  = 0.00278	CLs  = 0.05031
+At r = 0.192047:	q_mu = 5.53366	q_A  = 0.74593	CLsb = 0.00014	CLb  = 0.00279	CLs  = 0.04978
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1920
+Expected  2.5%: r < 0.2356
+Expected 16.0%: r < 0.3114
+Expected 50.0%: r < 0.4355
+Expected 84.0%: r < 0.6144
+Expected 97.5%: r < 0.8446
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/datacard_320_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/datacard_320_novo_285_625.txt
new file mode 100644
index 0000000..79f3b30
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_novo_285_625/datacard_320_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_320.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_320.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            398.909200   21478.000000   398.909200 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067807    -    -  
+JER      lnN     1.015812    -    -  
+JEC      lnN     1.006176    -    -  
+trigger      lnN     1.087022    -    -  
+PDF      lnN     1.015431    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.032690 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..d464376
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-iUCOS8.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.66533e-16  -1.66533e-16/+0.0242148  (68% CL)
+nll S+B -> -0.114596  nll B -> -0.114596
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1e43656
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.366211
+Sigma  for expected limits: 0.186846
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -99.8417 (r = 9.96425e-12)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -63.0911 (r = 0.00500345)
+At r = 1.200000:	q_mu = 63.42786	q_A  = 30.60526	CLsb = 0.00000	CLb  = 0.00151	CLs  = 0.00000
+At r = 0.600000:	q_mu = 29.92973	q_A  = 9.64956	CLsb = 0.00000	CLb  = 0.00055	CLs  = 0.00000
+At r = 0.300000:	q_mu = 13.88150	q_A  = 2.61458	CLsb = 0.00000	CLb  = 0.00025	CLs  = 0.00068
+At r = 0.150000:	q_mu = 6.54077	q_A  = 0.65167	CLsb = 0.00000	CLb  = 0.00013	CLs  = 0.03171
+At r = 0.075000:	q_mu = 3.15109	q_A  = 0.15284	CLsb = 0.00001	CLb  = 0.00006	CLs  = 0.18952
+At r = 0.112500:	q_mu = 4.81873	q_A  = 0.35994	CLsb = 0.00001	CLb  = 0.00010	CLs  = 0.07852
+At r = 0.134935:	q_mu = 5.84288	q_A  = 0.52435	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04578
+At r = 0.127514:	q_mu = 5.50198	q_A  = 0.46660	CLsb = 0.00001	CLb  = 0.00011	CLs  = 0.05478
+At r = 0.130533:	q_mu = 5.64040	q_A  = 0.48970	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.05093
+At r = 0.132021:	q_mu = 5.70873	q_A  = 0.50128	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04913
+At r = 0.131141:	q_mu = 5.66830	q_A  = 0.49442	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.05018
+At r = 0.131439:	q_mu = 5.68198	q_A  = 0.49674	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1314
+Expected  2.5%: r < 0.1967
+Expected 16.0%: r < 0.2623
+Expected 50.0%: r < 0.3662
+Expected 84.0%: r < 0.5195
+Expected 97.5%: r < 0.7121
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/datacard_330_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/datacard_330_novo_285_625.txt
new file mode 100644
index 0000000..12068b7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_330_novo_285_625/datacard_330_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_330.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_330.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            446.300800   21478.000000   446.300800 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067382    -    -  
+JER      lnN     1.012751    -    -  
+JEC      lnN     1.007837    -    -  
+trigger      lnN     1.088849    -    -  
+PDF      lnN     1.015592    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.023575 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..30282dd
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-uaNN5o.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.98336e-11  -3.98336e-11/+0.0267204  (68% CL)
+nll S+B -> -0.029992  nll B -> -0.0299911
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..951e251
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.313477
+Sigma  for expected limits: 0.15994
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -112.292 (r = 8.31446e-12)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -79.5082 (r = 0.00295354)
+At r = 1.200000:	q_mu = 66.10513	q_A  = 38.15151	CLsb = 0.00000	CLb  = 0.01182	CLs  = 0.00000
+At r = 0.600000:	q_mu = 30.30873	q_A  = 12.60857	CLsb = 0.00000	CLb  = 0.00634	CLs  = 0.00000
+At r = 0.300000:	q_mu = 13.52539	q_A  = 3.53264	CLsb = 0.00000	CLb  = 0.00393	CLs  = 0.00072
+At r = 0.150000:	q_mu = 6.16046	q_A  = 0.90434	CLsb = 0.00010	CLb  = 0.00286	CLs  = 0.03561
+At r = 0.075000:	q_mu = 2.90119	q_A  = 0.22039	CLsb = 0.00044	CLb  = 0.00215	CLs  = 0.20583
+At r = 0.112500:	q_mu = 4.48968	q_A  = 0.50598	CLsb = 0.00022	CLb  = 0.00255	CLs  = 0.08724
+At r = 0.131135:	q_mu = 5.31028	q_A  = 0.69023	CLsb = 0.00015	CLb  = 0.00271	CLs  = 0.05613
+At r = 0.138745:	q_mu = 5.65099	q_A  = 0.77343	CLsb = 0.00013	CLb  = 0.00278	CLs  = 0.04676
+At r = 0.134992:	q_mu = 5.48253	q_A  = 0.73181	CLsb = 0.00014	CLb  = 0.00275	CLs  = 0.05118
+At r = 0.136520:	q_mu = 5.55098	q_A  = 0.74859	CLsb = 0.00014	CLb  = 0.00276	CLs  = 0.04934
+At r = 0.135770:	q_mu = 5.51737	q_A  = 0.74016	CLsb = 0.00014	CLb  = 0.00275	CLs  = 0.05024
+At r = 0.136077:	q_mu = 5.53113	q_A  = 0.74353	CLsb = 0.00014	CLb  = 0.00275	CLs  = 0.04987
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1361
+Expected  2.5%: r < 0.1678
+Expected 16.0%: r < 0.2241
+Expected 50.0%: r < 0.3135
+Expected 84.0%: r < 0.4447
+Expected 97.5%: r < 0.6135
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/datacard_340_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/datacard_340_novo_285_625.txt
new file mode 100644
index 0000000..ea5f571
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_340_novo_285_625/datacard_340_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_340.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_340.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            493.692400   21478.000000   493.692400 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066927    -    -  
+JER      lnN     1.010226    -    -  
+JEC      lnN     1.009356    -    -  
+trigger      lnN     1.090488    -    -  
+PDF      lnN     1.015903    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.013507 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt
new file mode 100644
index 0000000..fc70987
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_350.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  541.084 15384	541.084
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06649    -	-
+JER       lnN     1.00905   - 	-
+JEC       lnN     1.0101   -	-
+trigger   lnN     1.0919145030   -   -
+PDF       lnN     1.0164211668   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..9b92da9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-Wwcaqn.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 5.48136e-10  -5.48136e-10/+0.0433973  (68% CL)
+nll S+B -> -0.00146606  nll B -> -0.00146575
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..822e585
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.276367
+Sigma  for expected limits: 0.141006
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -116.33 (r = 1.27829e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -96.9561 (r = 0.00152179)
+At r = 1.200000:	q_mu = 60.86842	q_A  = 45.17119	CLsb = 0.00000	CLb  = 0.12145	CLs  = 0.00000
+At r = 0.600000:	q_mu = 25.60759	q_A  = 15.52494	CLsb = 0.00000	CLb  = 0.10037	CLs  = 0.00000
+At r = 0.300000:	q_mu = 10.21176	q_A  = 4.47542	CLsb = 0.00026	CLb  = 0.08759	CLs  = 0.00296
+At r = 0.150000:	q_mu = 4.18630	q_A  = 1.16808	CLsb = 0.00662	CLb  = 0.08131	CLs  = 0.08145
+At r = 0.225000:	q_mu = 7.00579	q_A  = 2.58332	CLsb = 0.00143	CLb  = 0.08445	CLs  = 0.01690
+At r = 0.183616:	q_mu = 5.39751	q_A  = 1.73930	CLsb = 0.00341	CLb  = 0.08273	CLs  = 0.04119
+At r = 0.169246:	q_mu = 4.86903	q_A  = 1.48239	CLsb = 0.00455	CLb  = 0.08215	CLs  = 0.05538
+At r = 0.176089:	q_mu = 5.11865	q_A  = 1.60230	CLsb = 0.00397	CLb  = 0.08242	CLs  = 0.04814
+At r = 0.173241:	q_mu = 5.01430	q_A  = 1.55184	CLsb = 0.00420	CLb  = 0.08231	CLs  = 0.05104
+At r = 0.174615:	q_mu = 5.06455	q_A  = 1.57608	CLsb = 0.00409	CLb  = 0.08236	CLs  = 0.04962
+At r = 0.174047:	q_mu = 5.04373	q_A  = 1.56603	CLsb = 0.00413	CLb  = 0.08234	CLs  = 0.05021
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1740
+Expected  2.5%: r < 0.1474
+Expected 16.0%: r < 0.1972
+Expected 50.0%: r < 0.2764
+Expected 84.0%: r < 0.3942
+Expected 97.5%: r < 0.5424
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt
new file mode 100644
index 0000000..19696b0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_350.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  541.084 21478	541.084
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06649    -	-
+JER       lnN     1.00905   - 	-
+JEC       lnN     1.0101   -	-
+trigger   lnN     1.0919145030   -   -
+PDF       lnN     1.0164211668   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.005
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..4d61177
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-5WAJjc.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.51594e-11  -3.51594e-11/+0.0559538  (68% CL)
+nll S+B -> -0.000144548  nll B -> -0.000143836
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6978bdf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.237305
+Sigma  for expected limits: 0.121076
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -130.711 (r = 1.14513e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -125.766 (r = 0.00042722)
+At r = 1.200000:	q_mu = 65.00100	q_A  = 55.20787	CLsb = 0.00000	CLb  = 0.25495	CLs  = 0.00000
+At r = 0.600000:	q_mu = 26.38681	q_A  = 19.92713	CLsb = 0.00000	CLb  = 0.23468	CLs  = 0.00000
+At r = 0.300000:	q_mu = 9.72066	q_A  = 5.96493	CLsb = 0.00066	CLb  = 0.22098	CLs  = 0.00299
+At r = 0.150000:	q_mu = 3.58928	q_A  = 1.59351	CLsb = 0.02004	CLb  = 0.21462	CLs  = 0.09339
+At r = 0.225000:	q_mu = 6.39187	q_A  = 3.48066	CLsb = 0.00407	CLb  = 0.21763	CLs  = 0.01872
+At r = 0.188325:	q_mu = 4.94872	q_A  = 2.47666	CLsb = 0.00916	CLb  = 0.21611	CLs  = 0.04238
+At r = 0.174243:	q_mu = 4.43080	q_A  = 2.13174	CLsb = 0.01231	CLb  = 0.21555	CLs  = 0.05710
+At r = 0.182077:	q_mu = 4.71646	q_A  = 2.32087	CLsb = 0.01045	CLb  = 0.21586	CLs  = 0.04842
+At r = 0.179293:	q_mu = 4.61415	q_A  = 2.25278	CLsb = 0.01108	CLb  = 0.21575	CLs  = 0.05136
+At r = 0.180866:	q_mu = 4.67186	q_A  = 2.29114	CLsb = 0.01072	CLb  = 0.21581	CLs  = 0.04968
+At r = 0.180311:	q_mu = 4.65146	q_A  = 2.27756	CLsb = 0.01085	CLb  = 0.21579	CLs  = 0.05027
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1803
+Expected  2.5%: r < 0.1256
+Expected 16.0%: r < 0.1688
+Expected 50.0%: r < 0.2373
+Expected 84.0%: r < 0.3385
+Expected 97.5%: r < 0.4657
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt
new file mode 100644
index 0000000..f352865
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_360.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_360.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            590.997400   21478.000000   590.997400 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066112    -    -  
+JER      lnN     1.009776    -    -  
+JEC      lnN     1.009627    -    -  
+trigger      lnN     1.093096    -    -  
+PDF      lnN     1.017170    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.000020 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..fb1a78b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-AlRpRg.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 9.62563e-14  -9.62563e-14/+0.0432139  (68% CL)
+nll S+B -> -0.000221641  nll B -> -0.000221641
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..41c19a3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.208008
+Sigma  for expected limits: 0.106128
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -167.078 (r = 5.85482e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -157.802 (r = 0.000225297)
+At r = 1.200000:	q_mu = 77.39288	q_A  = 64.95501	CLsb = 0.00000	CLb  = 0.22017	CLs  = 0.00000
+At r = 0.600000:	q_mu = 32.87397	q_A  = 24.44918	CLsb = 0.00000	CLb  = 0.19713	CLs  = 0.00000
+At r = 0.300000:	q_mu = 12.60094	q_A  = 7.57518	CLsb = 0.00012	CLb  = 0.18062	CLs  = 0.00068
+At r = 0.150000:	q_mu = 4.77741	q_A  = 2.06551	CLsb = 0.00864	CLb  = 0.17272	CLs  = 0.05003
+At r = 0.225000:	q_mu = 8.39045	q_A  = 4.46437	CLsb = 0.00118	CLb  = 0.17643	CLs  = 0.00666
+At r = 0.187500:	q_mu = 6.49920	q_A  = 3.16611	CLsb = 0.00330	CLb  = 0.17448	CLs  = 0.01894
+At r = 0.157517:	q_mu = 5.10797	q_A  = 2.26935	CLsb = 0.00717	CLb  = 0.17305	CLs  = 0.04144
+At r = 0.151521:	q_mu = 4.84378	q_A  = 2.10615	CLsb = 0.00832	CLb  = 0.17279	CLs  = 0.04817
+At r = 0.150322:	q_mu = 4.79153	q_A  = 2.07419	CLsb = 0.00857	CLb  = 0.17274	CLs  = 0.04963
+At r = 0.150082:	q_mu = 4.78101	q_A  = 2.06772	CLsb = 0.00862	CLb  = 0.17272	CLs  = 0.04992
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1501
+Expected  2.5%: r < 0.1101
+Expected 16.0%: r < 0.1472
+Expected 50.0%: r < 0.2080
+Expected 84.0%: r < 0.2967
+Expected 97.5%: r < 0.4082
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt
new file mode 100644
index 0000000..507c710
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_370.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_370.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            640.910800   21478.000000   640.910800 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065799    -    -  
+JER      lnN     1.011912    -    -  
+JEC      lnN     1.008254    -    -  
+trigger      lnN     1.093984    -    -  
+PDF      lnN     1.018041    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.001991 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..eb2c04e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-wzTvE4.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.55001e-11  -3.55001e-11/+0.0355679  (68% CL)
+nll S+B -> -0.000246624  nll B -> -0.000246628
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b67d9e9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.182617
+Sigma  for expected limits: 0.0931738
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -208.304 (r = 2.47185e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -196.96 (r = 1.48835e-06)
+At r = 1.200000:	q_mu = 89.48698	q_A  = 75.58484	CLsb = 0.00000	CLb  = 0.21199	CLs  = 0.00000
+At r = 0.600000:	q_mu = 39.35061	q_A  = 29.61836	CLsb = 0.00000	CLb  = 0.18562	CLs  = 0.00000
+At r = 0.300000:	q_mu = 15.51017	q_A  = 9.50655	CLsb = 0.00002	CLb  = 0.16513	CLs  = 0.00015
+At r = 0.150000:	q_mu = 5.96094	q_A  = 2.64716	CLsb = 0.00408	CLb  = 0.15425	CLs  = 0.02645
+At r = 0.075000:	q_mu = 2.41316	q_A  = 0.69219	CLsb = 0.03100	CLb  = 0.15051	CLs  = 0.20600
+At r = 0.112500:	q_mu = 4.05985	q_A  = 1.52323	CLsb = 0.01185	CLb  = 0.15206	CLs  = 0.07796
+At r = 0.132327:	q_mu = 5.03524	q_A  = 2.08268	CLsb = 0.00683	CLb  = 0.15316	CLs  = 0.04459
+At r = 0.125110:	q_mu = 4.67242	q_A  = 1.86999	CLsb = 0.00838	CLb  = 0.15276	CLs  = 0.05483
+At r = 0.129127:	q_mu = 4.87324	q_A  = 1.98705	CLsb = 0.00748	CLb  = 0.15298	CLs  = 0.04889
+At r = 0.127695:	q_mu = 4.80132	q_A  = 1.94493	CLsb = 0.00779	CLb  = 0.15290	CLs  = 0.05094
+At r = 0.128501:	q_mu = 4.84174	q_A  = 1.96858	CLsb = 0.00761	CLb  = 0.15294	CLs  = 0.04978
+At r = 0.128215:	q_mu = 4.82738	q_A  = 1.96017	CLsb = 0.00767	CLb  = 0.15293	CLs  = 0.05019
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1282
+Expected  2.5%: r < 0.0967
+Expected 16.0%: r < 0.1296
+Expected 50.0%: r < 0.1826
+Expected 84.0%: r < 0.2605
+Expected 97.5%: r < 0.3607
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt
new file mode 100644
index 0000000..5874cbe
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_380.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_380.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            690.824200   21478.000000   690.824200 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065550    -    -  
+JER      lnN     1.014705    -    -  
+JEC      lnN     1.006489    -    -  
+trigger      lnN     1.094526    -    -  
+PDF      lnN     1.018894    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.001942 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..4fa7fb8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-AAMSG5.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.25641e-10  -1.25641e-10/+0.0540842  (68% CL)
+nll S+B -> -0.000162606  nll B -> -0.00016254
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0a6dfea
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.160645
+Sigma  for expected limits: 0.081963
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -245.915 (r = 7.34585e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -244.15 (r = 9.65223e-07)
+At r = 1.200000:	q_mu = 93.00380	q_A  = 87.18885	CLsb = 0.00000	CLb  = 0.37776	CLs  = 0.00000
+At r = 0.600000:	q_mu = 39.56333	q_A  = 35.49591	CLsb = 0.00000	CLb  = 0.36642	CLs  = 0.00000
+At r = 0.300000:	q_mu = 14.32042	q_A  = 11.80751	CLsb = 0.00007	CLb  = 0.35731	CLs  = 0.00020
+At r = 0.150000:	q_mu = 4.74521	q_A  = 3.36098	CLsb = 0.01352	CLb  = 0.35289	CLs  = 0.03832
+At r = 0.075000:	q_mu = 1.60342	q_A  = 0.88814	CLsb = 0.09310	CLb  = 0.35216	CLs  = 0.26437
+At r = 0.112500:	q_mu = 3.00170	q_A  = 1.94420	CLsb = 0.03807	CLb  = 0.35227	CLs  = 0.10807
+At r = 0.134804:	q_mu = 3.99986	q_A  = 2.74601	CLsb = 0.02090	CLb  = 0.35260	CLs  = 0.05929
+At r = 0.142589:	q_mu = 4.37559	q_A  = 3.05461	CLsb = 0.01677	CLb  = 0.35275	CLs  = 0.04753
+At r = 0.139604:	q_mu = 4.22986	q_A  = 2.93453	CLsb = 0.01826	CLb  = 0.35269	CLs  = 0.05177
+At r = 0.141173:	q_mu = 4.30619	q_A  = 2.99736	CLsb = 0.01746	CLb  = 0.35272	CLs  = 0.04950
+At r = 0.140579:	q_mu = 4.27720	q_A  = 2.97348	CLsb = 0.01776	CLb  = 0.35271	CLs  = 0.05035
+At r = 0.140893:	q_mu = 4.29251	q_A  = 2.98608	CLsb = 0.01760	CLb  = 0.35271	CLs  = 0.04990
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1409
+Expected  2.5%: r < 0.0850
+Expected 16.0%: r < 0.1143
+Expected 50.0%: r < 0.1606
+Expected 84.0%: r < 0.2304
+Expected 97.5%: r < 0.3181
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt
new file mode 100644
index 0000000..971c686
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_390.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_390.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            740.737600   21478.000000   740.737600 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065361    -    -  
+JER      lnN     1.017402    -    -  
+JEC      lnN     1.004839    -    -  
+trigger      lnN     1.094669    -    -  
+PDF      lnN     1.019586    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.000902 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..3664432
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-3nirYf.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 5.90054e-10  -5.90054e-10/+0.053751  (68% CL)
+nll S+B -> -0.000144876  nll B -> -0.000144117
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..dd3629e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.143066
+Sigma  for expected limits: 0.0729944
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -304.594 (r = 1.34117e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -297.818 (r = 1.12204e-06)
+At r = 1.200013:	q_mu = 103.36235	q_A  = 99.32219	CLsb = 0.00000	CLb  = 0.41969	CLs  = 0.00000
+At r = 0.600013:	q_mu = 44.75210	q_A  = 41.82977	CLsb = 0.00000	CLb  = 0.41063	CLs  = 0.00000
+At r = 0.300013:	q_mu = 16.26399	q_A  = 14.39062	CLsb = 0.00003	CLb  = 0.40249	CLs  = 0.00007
+At r = 0.150013:	q_mu = 5.24944	q_A  = 4.18765	CLsb = 0.01056	CLb  = 0.39765	CLs  = 0.02656
+At r = 0.075013:	q_mu = 1.67481	q_A  = 1.11783	CLsb = 0.09330	CLb  = 0.39612	CLs  = 0.23555
+At r = 0.112513:	q_mu = 3.25257	q_A  = 2.43516	CLsb = 0.03420	CLb  = 0.39670	CLs  = 0.08620
+At r = 0.133892:	q_mu = 4.34355	q_A  = 3.38475	CLsb = 0.01785	CLb  = 0.39721	CLs  = 0.04494
+At r = 0.126813:	q_mu = 3.96813	q_A  = 3.05555	CLsb = 0.02227	CLb  = 0.39703	CLs  = 0.05608
+At r = 0.129747:	q_mu = 4.12197	q_A  = 3.19017	CLsb = 0.02033	CLb  = 0.39710	CLs  = 0.05120
+At r = 0.131178:	q_mu = 4.19793	q_A  = 3.25678	CLsb = 0.01944	CLb  = 0.39714	CLs  = 0.04896
+At r = 0.130353:	q_mu = 4.15403	q_A  = 3.21827	CLsb = 0.01995	CLb  = 0.39712	CLs  = 0.05024
+At r = 0.130640:	q_mu = 4.16926	q_A  = 3.23162	CLsb = 0.01977	CLb  = 0.39713	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1306
+Expected  2.5%: r < 0.0754
+Expected 16.0%: r < 0.1016
+Expected 50.0%: r < 0.1431
+Expected 84.0%: r < 0.2052
+Expected 97.5%: r < 0.2833
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt
new file mode 100644
index 0000000..23f33ed
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_400.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  790.651 21478	790.651
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06523    -	-
+JER       lnN     1.01925   - 	-
+JEC       lnN     1.00381   -	-
+trigger   lnN     1.0943615895   -   -
+PDF       lnN     1.0199774927   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.0001
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..78e9e78
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-SSbYoV.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.34096e-11  -3.34096e-11/+0.0465809  (68% CL)
+nll S+B -> -0.000145757  nll B -> -0.000145193
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..544d03e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.131348
+Sigma  for expected limits: 0.0670153
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -356.321 (r = 4.59474e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -348.03 (r = 2.25453e-08)
+At r = 1.200000:	q_mu = 114.87828	q_A  = 109.88733	CLsb = 0.00000	CLb  = 0.40592	CLs  = 0.00000
+At r = 0.600000:	q_mu = 51.06473	q_A  = 47.39782	CLsb = 0.00000	CLb  = 0.39500	CLs  = 0.00000
+At r = 0.300000:	q_mu = 19.10913	q_A  = 16.71465	CLsb = 0.00001	CLb  = 0.38482	CLs  = 0.00002
+At r = 0.150000:	q_mu = 6.32566	q_A  = 4.94789	CLsb = 0.00564	CLb  = 0.37840	CLs  = 0.01490
+At r = 0.075000:	q_mu = 2.05931	q_A  = 1.33104	CLsb = 0.07087	CLb  = 0.37614	CLs  = 0.18842
+At r = 0.112500:	q_mu = 3.95403	q_A  = 2.88911	CLsb = 0.02206	CLb  = 0.37704	CLs  = 0.05850
+At r = 0.131250:	q_mu = 5.08523	q_A  = 3.86081	CLsb = 0.01141	CLb  = 0.37768	CLs  = 0.03021
+At r = 0.119814:	q_mu = 4.38163	q_A  = 3.25377	CLsb = 0.01715	CLb  = 0.37728	CLs  = 0.04547
+At r = 0.116145:	q_mu = 4.16493	q_A  = 3.06854	CLsb = 0.01948	CLb  = 0.37716	CLs  = 0.05164
+At r = 0.117623:	q_mu = 4.25168	q_A  = 3.14258	CLsb = 0.01851	CLb  = 0.37721	CLs  = 0.04907
+At r = 0.116893:	q_mu = 4.20872	q_A  = 3.10589	CLsb = 0.01898	CLb  = 0.37718	CLs  = 0.05033
+At r = 0.117189:	q_mu = 4.22613	q_A  = 3.12075	CLsb = 0.01879	CLb  = 0.37719	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1172
+Expected  2.5%: r < 0.0690
+Expected 16.0%: r < 0.0929
+Expected 50.0%: r < 0.1313
+Expected 84.0%: r < 0.1874
+Expected 97.5%: r < 0.2594
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt
new file mode 100644
index 0000000..8617742
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_410.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_410.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            849.172800   21478.000000   849.172800 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065153    -    -  
+JER      lnN     1.019703    -    -  
+JEC      lnN     1.003763    -    -  
+trigger      lnN     1.093565    -    -  
+PDF      lnN     1.019974    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.000264 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..609872b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-09pyP9.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 6.49142e-11  -6.49142e-11/+0.0412727  (68% CL)
+nll S+B -> -0.000144142  nll B -> -0.000144149
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..709a44c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.120605
+Sigma  for expected limits: 0.0615345
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -403.385 (r = 1.57706e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -402.028 (r = 2.59699e-06)
+At r = 1.200000:	q_mu = 126.66018	q_A  = 120.96622	CLsb = 0.00000	CLb  = 0.39787	CLs  = 0.00000
+At r = 0.600000:	q_mu = 57.50089	q_A  = 53.25451	CLsb = 0.00000	CLb  = 0.38555	CLs  = 0.00000
+At r = 0.300000:	q_mu = 22.02092	q_A  = 19.19675	CLsb = 0.00000	CLb  = 0.37362	CLs  = 0.00000
+At r = 0.150000:	q_mu = 7.42568	q_A  = 5.77428	CLsb = 0.00301	CLb  = 0.36557	CLs  = 0.00824
+At r = 0.075000:	q_mu = 2.44582	q_A  = 1.56494	CLsb = 0.05446	CLb  = 0.36239	CLs  = 0.15028
+At r = 0.112500:	q_mu = 4.66734	q_A  = 3.38502	CLsb = 0.01432	CLb  = 0.36374	CLs  = 0.03938
+At r = 0.093750:	q_mu = 3.48313	q_A  = 2.39761	CLsb = 0.02879	CLb  = 0.36297	CLs  = 0.07931
+At r = 0.103633:	q_mu = 4.08981	q_A  = 2.89955	CLsb = 0.02007	CLb  = 0.36336	CLs  = 0.05523
+At r = 0.107493:	q_mu = 4.33756	q_A  = 3.10699	CLsb = 0.01735	CLb  = 0.36352	CLs  = 0.04774
+At r = 0.105742:	q_mu = 4.22441	q_A  = 3.01208	CLsb = 0.01854	CLb  = 0.36344	CLs  = 0.05102
+At r = 0.106519:	q_mu = 4.27444	q_A  = 3.05401	CLsb = 0.01801	CLb  = 0.36348	CLs  = 0.04954
+At r = 0.106169:	q_mu = 4.25191	q_A  = 3.03512	CLsb = 0.01825	CLb  = 0.36346	CLs  = 0.05020
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1062
+Expected  2.5%: r < 0.0636
+Expected 16.0%: r < 0.0854
+Expected 50.0%: r < 0.1206
+Expected 84.0%: r < 0.1720
+Expected 97.5%: r < 0.2382
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt
new file mode 100644
index 0000000..eb63428
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_420.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_420.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            907.694600   21478.000000   907.694600 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065115    -    -  
+JER      lnN     1.019040    -    -  
+JEC      lnN     1.004469    -    -  
+trigger      lnN     1.092303    -    -  
+PDF      lnN     1.019675    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.000301 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..eda7360
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-tsx6rO.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 7.54625e-09  -7.54625e-09/+0.0408437  (68% CL)
+nll S+B -> -0.00043624  nll B -> -0.00043554
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..66842d1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.11084
+Sigma  for expected limits: 0.056552
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -457.954 (r = 4.5373e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -459.693 (r = 4.62772e-06)
+At r = 1.200000:	q_mu = 136.97118	q_A  = 132.58188	CLsb = 0.00000	CLb  = 0.42442	CLs  = 0.00000
+At r = 0.600000:	q_mu = 62.77840	q_A  = 59.40345	CLsb = 0.00000	CLb  = 0.41335	CLs  = 0.00000
+At r = 0.300000:	q_mu = 24.15535	q_A  = 21.83427	CLsb = 0.00000	CLb  = 0.40193	CLs  = 0.00000
+At r = 0.150000:	q_mu = 8.06241	q_A  = 6.66575	CLsb = 0.00217	CLb  = 0.39340	CLs  = 0.00552
+At r = 0.075000:	q_mu = 2.57752	q_A  = 1.81931	CLsb = 0.05156	CLb  = 0.38933	CLs  = 0.13244
+At r = 0.112500:	q_mu = 5.01631	q_A  = 3.92234	CLsb = 0.01201	CLb  = 0.39120	CLs  = 0.03071
+At r = 0.094995:	q_mu = 3.79472	q_A  = 2.85339	CLsb = 0.02454	CLb  = 0.39026	CLs  = 0.06289
+At r = 0.102977:	q_mu = 4.33482	q_A  = 3.32300	CLsb = 0.01785	CLb  = 0.39069	CLs  = 0.04568
+At r = 0.099575:	q_mu = 4.10092	q_A  = 3.11896	CLsb = 0.02047	CLb  = 0.39050	CLs  = 0.05243
+At r = 0.101192:	q_mu = 4.21138	q_A  = 3.21519	CLsb = 0.01918	CLb  = 0.39059	CLs  = 0.04912
+At r = 0.100515:	q_mu = 4.16502	q_A  = 3.17477	CLsb = 0.01972	CLb  = 0.39055	CLs  = 0.05048
+At r = 0.100840:	q_mu = 4.18721	q_A  = 3.19411	CLsb = 0.01946	CLb  = 0.39057	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1008
+Expected  2.5%: r < 0.0585
+Expected 16.0%: r < 0.0785
+Expected 50.0%: r < 0.1108
+Expected 84.0%: r < 0.1590
+Expected 97.5%: r < 0.2195
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt
new file mode 100644
index 0000000..97d3528
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_430.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_430.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            966.216400   21478.000000   966.216400 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065100    -    -  
+JER      lnN     1.017746    -    -  
+JEC      lnN     1.005548    -    -  
+trigger      lnN     1.090614    -    -  
+PDF      lnN     1.019227    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.001258 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..41eec6c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-2Zie7m.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0141763  -0.0141763/+0.0520379  (68% CL)
+nll S+B -> -0.0398275  nll B -> -0.0016366
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..27f5ff2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.103027
+Sigma  for expected limits: 0.0525659
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -505.286 (r = 0.0142003)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -523.684 (r = 9.37967e-08)
+At r = 1.214200:	q_mu = 141.40172	q_A  = 147.14392	CLsb = 0.00000	CLb  = 0.59446	CLs  = 0.00000
+At r = 0.614200:	q_mu = 63.98582	q_A  = 68.18214	CLsb = 0.00000	CLb  = 0.60185	CLs  = 0.00000
+At r = 0.314200:	q_mu = 23.84676	q_A  = 26.63549	CLsb = 0.00000	CLb  = 0.60936	CLs  = 0.00000
+At r = 0.164200:	q_mu = 7.36732	q_A  = 9.02667	CLsb = 0.00332	CLb  = 0.61415	CLs  = 0.00541
+At r = 0.089200:	q_mu = 2.01240	q_A  = 2.93523	CLsb = 0.07801	CLb  = 0.61587	CLs  = 0.12666
+At r = 0.126700:	q_mu = 4.34425	q_A  = 5.65054	CLsb = 0.01857	CLb  = 0.61516	CLs  = 0.03018
+At r = 0.108642:	q_mu = 3.12589	q_A  = 4.25119	CLsb = 0.03853	CLb  = 0.61555	CLs  = 0.06259
+At r = 0.116703:	q_mu = 3.64910	q_A  = 4.85604	CLsb = 0.02805	CLb  = 0.61538	CLs  = 0.04558
+At r = 0.113209:	q_mu = 3.41804	q_A  = 4.58976	CLsb = 0.03224	CLb  = 0.61546	CLs  = 0.05239
+At r = 0.114845:	q_mu = 3.52542	q_A  = 4.71367	CLsb = 0.03022	CLb  = 0.61543	CLs  = 0.04910
+At r = 0.114151:	q_mu = 3.47969	q_A  = 4.66094	CLsb = 0.03106	CLb  = 0.61544	CLs  = 0.05047
+At r = 0.114480:	q_mu = 3.50129	q_A  = 4.68585	CLsb = 0.03066	CLb  = 0.61543	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1145
+Expected  2.5%: r < 0.0543
+Expected 16.0%: r < 0.0730
+Expected 50.0%: r < 0.1030
+Expected 84.0%: r < 0.1470
+Expected 97.5%: r < 0.2035
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt
new file mode 100644
index 0000000..39449df
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_440.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_440.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1024.738200   21478.000000   1024.738200 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065091    -    -  
+JER      lnN     1.016308    -    -  
+JEC      lnN     1.006625    -    -  
+trigger      lnN     1.088536    -    -  
+PDF      lnN     1.018776    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002270 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..19b62d7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-CoqV0V.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0685848  -0.0479094/+0.0502249  (68% CL)
+nll S+B -> -1.02606  nll B -> -0.00390929
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d2fff02
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0961914
+Sigma  for expected limits: 0.0490782
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -540.808 (r = 0.0685438)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -590.194 (r = 3.90263e-08)
+At r = 1.268544:	q_mu = 142.08334	q_A  = 167.49090	CLsb = 0.00000	CLb  = 0.84660	CLs  = 0.00000
+At r = 0.668544:	q_mu = 64.11550	q_A  = 83.52988	CLsb = 0.00000	CLb  = 0.87124	CLs  = 0.00000
+At r = 0.368544:	q_mu = 24.12540	q_A  = 37.89762	CLsb = 0.00000	CLb  = 0.89331	CLs  = 0.00000
+At r = 0.218544:	q_mu = 7.62097	q_A  = 16.74862	CLsb = 0.00288	CLb  = 0.90855	CLs  = 0.00318
+At r = 0.143544:	q_mu = 2.13060	q_A  = 8.08080	CLsb = 0.07219	CLb  = 0.91667	CLs  = 0.07875
+At r = 0.181044:	q_mu = 4.54034	q_A  = 12.16686	CLsb = 0.01655	CLb  = 0.91266	CLs  = 0.01814
+At r = 0.160326:	q_mu = 3.11577	q_A  = 9.83888	CLsb = 0.03877	CLb  = 0.91490	CLs  = 0.04238
+At r = 0.153385:	q_mu = 2.68911	q_A  = 9.09710	CLsb = 0.05052	CLb  = 0.91563	CLs  = 0.05517
+At r = 0.156845:	q_mu = 2.89841	q_A  = 9.46427	CLsb = 0.04433	CLb  = 0.91527	CLs  = 0.04844
+At r = 0.155478:	q_mu = 2.81491	q_A  = 9.31859	CLsb = 0.04670	CLb  = 0.91541	CLs  = 0.05101
+At r = 0.156174:	q_mu = 2.85731	q_A  = 9.39268	CLsb = 0.04548	CLb  = 0.91534	CLs  = 0.04969
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1562
+Expected  2.5%: r < 0.0507
+Expected 16.0%: r < 0.0681
+Expected 50.0%: r < 0.0962
+Expected 84.0%: r < 0.1365
+Expected 97.5%: r < 0.1883
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt
new file mode 100644
index 0000000..439508c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_450.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1083.26 21478	1083.26
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06507    -	-
+JER       lnN     1.01521   - 	-
+JEC       lnN     1.00732   -	-
+trigger   lnN     1.0861090745   -   -
+PDF       lnN     1.01846991095   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.003
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..8bc276a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-me8RG8.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.112742  -0.0461402/+0.049296  (68% CL)
+nll S+B -> -3.09911  nll B -> -0.00591043
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..516618b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.090332
+Sigma  for expected limits: 0.0460886
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -572.005 (r = 0.112719)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -647.67 (r = 2.18632e-06)
+At r = 1.312719:	q_mu = 142.94218	q_A  = 185.61220	CLsb = 0.00000	CLb  = 0.95235	CLs  = 0.00000
+At r = 0.712719:	q_mu = 64.12353	q_A  = 97.46317	CLsb = 0.00000	CLb  = 0.96888	CLs  = 0.00000
+At r = 0.412719:	q_mu = 24.19617	q_A  = 48.59291	CLsb = 0.00000	CLb  = 0.97991	CLs  = 0.00000
+At r = 0.262719:	q_mu = 7.73397	q_A  = 24.84320	CLsb = 0.00271	CLb  = 0.98621	CLs  = 0.00275
+At r = 0.187719:	q_mu = 2.19412	q_A  = 14.29589	CLsb = 0.06927	CLb  = 0.98927	CLs  = 0.07002
+At r = 0.225219:	q_mu = 4.63635	q_A  = 19.38732	CLsb = 0.01565	CLb  = 0.98777	CLs  = 0.01584
+At r = 0.202017:	q_mu = 3.03756	q_A  = 16.18656	CLsb = 0.04068	CLb  = 0.98871	CLs  = 0.04114
+At r = 0.194964:	q_mu = 2.60715	q_A  = 15.24543	CLsb = 0.05319	CLb  = 0.98899	CLs  = 0.05378
+At r = 0.197911:	q_mu = 2.78363	q_A  = 15.63670	CLsb = 0.04762	CLb  = 0.98887	CLs  = 0.04815
+At r = 0.196519:	q_mu = 2.69965	q_A  = 15.45150	CLsb = 0.05019	CLb  = 0.98892	CLs  = 0.05075
+At r = 0.197112:	q_mu = 2.73529	q_A  = 15.53033	CLsb = 0.04908	CLb  = 0.98890	CLs  = 0.04963
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1971
+Expected  2.5%: r < 0.0476
+Expected 16.0%: r < 0.0640
+Expected 50.0%: r < 0.0903
+Expected 84.0%: r < 0.1296
+Expected 97.5%: r < 0.1778
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt
new file mode 100644
index 0000000..ea85815
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_460.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_460.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1130.532000   21478.000000   1130.532000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065027    -    -  
+JER      lnN     1.014819    -    -  
+JEC      lnN     1.007350    -    -  
+trigger      lnN     1.083397    -    -  
+PDF      lnN     1.018420    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.003201 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ce0c83e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-0hWb1g.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.110303  -0.0435183/+0.046517  (68% CL)
+nll S+B -> -3.34626  nll B -> -0.006571
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..4d9e9e5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0854492
+Sigma  for expected limits: 0.0435973
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -634.141 (r = 0.110322)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -713.177 (r = 1.55498e-05)
+At r = 1.310322:	q_mu = 153.93803	q_A  = 199.43785	CLsb = 0.00000	CLb  = 0.95683	CLs  = 0.00000
+At r = 0.710322:	q_mu = 69.74057	q_A  = 105.23990	CLsb = 0.00000	CLb  = 0.97178	CLs  = 0.00000
+At r = 0.410322:	q_mu = 26.59429	q_A  = 52.72711	CLsb = 0.00000	CLb  = 0.98233	CLs  = 0.00000
+At r = 0.260322:	q_mu = 8.58051	q_A  = 26.99374	CLsb = 0.00170	CLb  = 0.98828	CLs  = 0.00172
+At r = 0.185322:	q_mu = 2.45019	q_A  = 15.49773	CLsb = 0.05876	CLb  = 0.99114	CLs  = 0.05928
+At r = 0.222822:	q_mu = 5.15963	q_A  = 21.05282	CLsb = 0.01156	CLb  = 0.98974	CLs  = 0.01168
+At r = 0.204072:	q_mu = 3.70445	q_A  = 18.21874	CLsb = 0.02713	CLb  = 0.99045	CLs  = 0.02740
+At r = 0.192381:	q_mu = 2.89707	q_A  = 16.50754	CLsb = 0.04437	CLb  = 0.99088	CLs  = 0.04478
+At r = 0.188749:	q_mu = 2.66323	q_A  = 15.98571	CLsb = 0.05135	CLb  = 0.99102	CLs  = 0.05181
+At r = 0.190184:	q_mu = 2.75464	q_A  = 16.19135	CLsb = 0.04849	CLb  = 0.99096	CLs  = 0.04893
+At r = 0.189463:	q_mu = 2.70852	q_A  = 16.08787	CLsb = 0.04991	CLb  = 0.99099	CLs  = 0.05036
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1895
+Expected  2.5%: r < 0.0451
+Expected 16.0%: r < 0.0605
+Expected 50.0%: r < 0.0854
+Expected 84.0%: r < 0.1219
+Expected 97.5%: r < 0.1677
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt
new file mode 100644
index 0000000..cfbe3b4
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_470.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_470.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1177.804000   21478.000000   1177.804000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.064975    -    -  
+JER      lnN     1.015022    -    -  
+JEC      lnN     1.006800    -    -  
+trigger      lnN     1.080568    -    -  
+PDF      lnN     1.018604    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002993 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..d042ac8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-rkjXnu.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0672092  -0.0405124/+0.0425184  (68% CL)
+nll S+B -> -1.38712  nll B -> -0.0059778
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..862bc54
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0805664
+Sigma  for expected limits: 0.0411061
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -723.346 (r = 0.0671984)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -783.216 (r = 6.60604e-06)
+At r = 1.267198:	q_mu = 175.33525	q_A  = 207.71948	CLsb = 0.00000	CLb  = 0.87921	CLs  = 0.00000
+At r = 0.667198:	q_mu = 81.27298	q_A  = 105.90561	CLsb = 0.00000	CLb  = 0.89900	CLs  = 0.00000
+At r = 0.367198:	q_mu = 31.55144	q_A  = 49.35093	CLsb = 0.00000	CLb  = 0.92043	CLs  = 0.00000
+At r = 0.217198:	q_mu = 10.25360	q_A  = 22.26918	CLsb = 0.00068	CLb  = 0.93535	CLs  = 0.00073
+At r = 0.142198:	q_mu = 2.92203	q_A  = 10.85075	CLsb = 0.04369	CLb  = 0.94348	CLs  = 0.04631
+At r = 0.104698:	q_mu = 0.77463	q_A  = 6.24573	CLsb = 0.18939	CLb  = 0.94728	CLs  = 0.19994
+At r = 0.123448:	q_mu = 1.69398	q_A  = 8.43105	CLsb = 0.09654	CLb  = 0.94543	CLs  = 0.10211
+At r = 0.136993:	q_mu = 2.55190	q_A  = 10.15720	CLsb = 0.05508	CLb  = 0.94403	CLs  = 0.05835
+At r = 0.139774:	q_mu = 2.74681	q_A  = 10.52569	CLsb = 0.04872	CLb  = 0.94374	CLs  = 0.05163
+At r = 0.140831:	q_mu = 2.82242	q_A  = 10.66679	CLsb = 0.04648	CLb  = 0.94363	CLs  = 0.04925
+At r = 0.140350:	q_mu = 2.78787	q_A  = 10.60247	CLsb = 0.04749	CLb  = 0.94368	CLs  = 0.05032
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1403
+Expected  2.5%: r < 0.0425
+Expected 16.0%: r < 0.0571
+Expected 50.0%: r < 0.0806
+Expected 84.0%: r < 0.1149
+Expected 97.5%: r < 0.1581
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt
new file mode 100644
index 0000000..a8b0ce0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_480.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_480.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1225.076000   21478.000000   1225.076000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.064934    -    -  
+JER      lnN     1.015585    -    -  
+JEC      lnN     1.005851    -    -  
+trigger      lnN     1.077816    -    -  
+PDF      lnN     1.018963    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002583 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..0da9bd0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-5c3ZEi.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0156338  -0.0156338/+0.0389274  (68% CL)
+nll S+B -> -0.0884479  nll B -> -0.00513749
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..388eb09
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0766602
+Sigma  for expected limits: 0.039113
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -829.008 (r = 0.0156335)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -856.768 (r = 1.57784e-07)
+At r = 1.215634:	q_mu = 203.08451	q_A  = 213.25274	CLsb = 0.00000	CLb  = 0.63773	CLs  = 0.00000
+At r = 0.615634:	q_mu = 96.43604	q_A  = 103.88015	CLsb = 0.00000	CLb  = 0.64504	CLs  = 0.00000
+At r = 0.315634:	q_mu = 38.17933	q_A  = 43.28478	CLsb = 0.00000	CLb  = 0.65549	CLs  = 0.00000
+At r = 0.165634:	q_mu = 12.44591	q_A  = 15.58715	CLsb = 0.00021	CLb  = 0.66282	CLs  = 0.00032
+At r = 0.090634:	q_mu = 3.50928	q_A  = 5.29656	CLsb = 0.03051	CLb  = 0.66572	CLs  = 0.04583
+At r = 0.053134:	q_mu = 0.91960	q_A  = 1.92664	CLsb = 0.16879	CLb  = 0.66607	CLs  = 0.25341
+At r = 0.071884:	q_mu = 2.02392	q_A  = 3.42875	CLsb = 0.07742	CLb  = 0.66605	CLs  = 0.11624
+At r = 0.085481:	q_mu = 3.06537	q_A  = 4.74938	CLsb = 0.03999	CLb  = 0.66585	CLs  = 0.06006
+At r = 0.088276:	q_mu = 3.30283	q_A  = 5.04316	CLsb = 0.03458	CLb  = 0.66579	CLs  = 0.05194
+At r = 0.089322:	q_mu = 3.39359	q_A  = 5.15489	CLsb = 0.03273	CLb  = 0.66577	CLs  = 0.04915
+At r = 0.088854:	q_mu = 3.35279	q_A  = 5.10472	CLsb = 0.03355	CLb  = 0.66578	CLs  = 0.05039
+At r = 0.089063:	q_mu = 3.37103	q_A  = 5.12717	CLsb = 0.03318	CLb  = 0.66578	CLs  = 0.04983
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0891
+Expected  2.5%: r < 0.0404
+Expected 16.0%: r < 0.0543
+Expected 50.0%: r < 0.0767
+Expected 84.0%: r < 0.1087
+Expected 97.5%: r < 0.1500
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt
new file mode 100644
index 0000000..6eee800
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_490.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_490.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1272.348000   21478.000000   1272.348000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.064923    -    -  
+JER      lnN     1.016275    -    -  
+JEC      lnN     1.004681    -    -  
+trigger      lnN     1.075337    -    -  
+PDF      lnN     1.019440    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002183 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..8d36f52
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-1Z9C40.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.98959e-09  -3.98959e-09/+0.0219288  (68% CL)
+nll S+B -> -0.00507158  nll B -> -0.0050717
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c169316
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0737305
+Sigma  for expected limits: 0.0376183
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -911.172 (r = 6.40898e-11)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -906.139 (r = 2.6656e-06)
+At r = 1.200000:	q_mu = 228.44603	q_A  = 218.71829	CLsb = 0.00000	CLb  = 0.37112	CLs  = 0.00000
+At r = 0.600000:	q_mu = 112.98935	q_A  = 105.21156	CLsb = 0.00000	CLb  = 0.35229	CLs  = 0.00000
+At r = 0.300000:	q_mu = 47.77111	q_A  = 42.16905	CLsb = 0.00000	CLb  = 0.33311	CLs  = 0.00000
+At r = 0.150000:	q_mu = 17.40358	q_A  = 13.85385	CLsb = 0.00001	CLb  = 0.31673	CLs  = 0.00004
+At r = 0.075000:	q_mu = 5.92138	q_A  = 3.92595	CLsb = 0.00648	CLb  = 0.30729	CLs  = 0.02108
+At r = 0.037500:	q_mu = 2.08584	q_A  = 1.04002	CLsb = 0.06269	CLb  = 0.30406	CLs  = 0.20618
+At r = 0.056250:	q_mu = 3.80663	q_A  = 2.27206	CLsb = 0.02188	CLb  = 0.30536	CLs  = 0.07165
+At r = 0.064412:	q_mu = 4.68135	q_A  = 2.94258	CLsb = 0.01313	CLb  = 0.30614	CLs  = 0.04290
+At r = 0.060831:	q_mu = 4.28855	q_A  = 2.63869	CLsb = 0.01649	CLb  = 0.30579	CLs  = 0.05394
+At r = 0.062496:	q_mu = 4.46947	q_A  = 2.77814	CLsb = 0.01485	CLb  = 0.30595	CLs  = 0.04853
+At r = 0.061787:	q_mu = 4.39200	q_A  = 2.71832	CLsb = 0.01553	CLb  = 0.30588	CLs  = 0.05077
+At r = 0.062121:	q_mu = 4.42845	q_A  = 2.74644	CLsb = 0.01520	CLb  = 0.30591	CLs  = 0.04970
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0621
+Expected  2.5%: r < 0.0392
+Expected 16.0%: r < 0.0524
+Expected 50.0%: r < 0.0737
+Expected 84.0%: r < 0.1058
+Expected 97.5%: r < 0.1451
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt
new file mode 100644
index 0000000..26d00f1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_500.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1319.62 21478	1319.62
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06496    -	-
+JER       lnN     1.01686   - 	-
+JEC       lnN     1.00347   -	-
+trigger   lnN     1.0733235575   -   -
+PDF       lnN     1.01997778164   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.002
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..6be8829
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-S02wnJ.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.41802e-10  -4.41802e-10/+0.0133732  (68% CL)
+nll S+B -> -0.00722918  nll B -> -0.00722919
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..a05f444
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0698242
+Sigma  for expected limits: 0.0356253
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1011.99 (r = 4.0599e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -985.723 (r = 1.80281e-06)
+At r = 1.200000:	q_mu = 253.75697	q_A  = 231.49147	CLsb = 0.00000	CLb  = 0.23217	CLs  = 0.00000
+At r = 0.600000:	q_mu = 129.88354	q_A  = 112.71816	CLsb = 0.00000	CLb  = 0.20943	CLs  = 0.00000
+At r = 0.300000:	q_mu = 58.08778	q_A  = 45.81617	CLsb = 0.00000	CLb  = 0.18234	CLs  = 0.00000
+At r = 0.150000:	q_mu = 23.00369	q_A  = 15.25101	CLsb = 0.00000	CLb  = 0.16045	CLs  = 0.00000
+At r = 0.075000:	q_mu = 8.71072	q_A  = 4.35498	CLsb = 0.00087	CLb  = 0.14833	CLs  = 0.00588
+At r = 0.037500:	q_mu = 3.43792	q_A  = 1.15613	CLsb = 0.01633	CLb  = 0.14433	CLs  = 0.11313
+At r = 0.056250:	q_mu = 5.87294	q_A  = 2.52365	CLsb = 0.00411	CLb  = 0.14590	CLs  = 0.02818
+At r = 0.046312:	q_mu = 4.52862	q_A  = 1.73798	CLsb = 0.00873	CLb  = 0.14493	CLs  = 0.06026
+At r = 0.050252:	q_mu = 5.04738	q_A  = 2.03325	CLsb = 0.00652	CLb  = 0.14528	CLs  = 0.04486
+At r = 0.048305:	q_mu = 4.78870	q_A  = 1.88466	CLsb = 0.00754	CLb  = 0.14510	CLs  = 0.05196
+At r = 0.049101:	q_mu = 4.89394	q_A  = 1.94479	CLsb = 0.00710	CLb  = 0.14517	CLs  = 0.04894
+At r = 0.048714:	q_mu = 4.84260	q_A  = 1.91539	CLsb = 0.00731	CLb  = 0.14513	CLs  = 0.05039
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0487
+Expected  2.5%: r < 0.0368
+Expected 16.0%: r < 0.0500
+Expected 50.0%: r < 0.0698
+Expected 84.0%: r < 0.1002
+Expected 97.5%: r < 0.1374
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt
new file mode 100644
index 0000000..ed426d0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_510.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_510.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1349.854000   21478.000000   1349.854000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065060    -    -  
+JER      lnN     1.017160    -    -  
+JEC      lnN     1.002374    -    -  
+trigger      lnN     1.071913    -    -  
+PDF      lnN     1.020524    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002175 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..07733bf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-2PipOj.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.72122e-13  -4.72122e-13/+0.0109511  (68% CL)
+nll S+B -> -0.011939  nll B -> -0.0119391
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ed368a2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0678711
+Sigma  for expected limits: 0.0346287
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1084.59 (r = 1.39161e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1046.73 (r = 3.73166e-06)
+At r = 1.200000:	q_mu = 269.07739	q_A  = 240.62333	CLsb = 0.00000	CLb  = 0.17953	CLs  = 0.00000
+At r = 0.600000:	q_mu = 139.60422	q_A  = 118.01977	CLsb = 0.00000	CLb  = 0.16025	CLs  = 0.00000
+At r = 0.300000:	q_mu = 63.92342	q_A  = 48.44762	CLsb = 0.00000	CLb  = 0.13313	CLs  = 0.00000
+At r = 0.150000:	q_mu = 26.10989	q_A  = 16.27957	CLsb = 0.00000	CLb  = 0.11158	CLs  = 0.00000
+At r = 0.075000:	q_mu = 10.22690	q_A  = 4.67456	CLsb = 0.00028	CLb  = 0.09957	CLs  = 0.00286
+At r = 0.037500:	q_mu = 4.16051	q_A  = 1.24271	CLsb = 0.00769	CLb  = 0.09532	CLs  = 0.08064
+At r = 0.056250:	q_mu = 6.98765	q_A  = 2.71155	CLsb = 0.00161	CLb  = 0.09707	CLs  = 0.01663
+At r = 0.045791:	q_mu = 5.35564	q_A  = 1.82752	CLsb = 0.00394	CLb  = 0.09596	CLs  = 0.04111
+At r = 0.042205:	q_mu = 4.82768	q_A  = 1.56172	CLsb = 0.00529	CLb  = 0.09566	CLs  = 0.05528
+At r = 0.043895:	q_mu = 5.07436	q_A  = 1.68453	CLsb = 0.00461	CLb  = 0.09579	CLs  = 0.04812
+At r = 0.043184:	q_mu = 4.97013	q_A  = 1.63232	CLsb = 0.00488	CLb  = 0.09573	CLs  = 0.05103
+At r = 0.043523:	q_mu = 5.01980	q_A  = 1.65714	CLsb = 0.00475	CLb  = 0.09576	CLs  = 0.04962
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0435
+Expected  2.5%: r < 0.0358
+Expected 16.0%: r < 0.0481
+Expected 50.0%: r < 0.0679
+Expected 84.0%: r < 0.0963
+Expected 97.5%: r < 0.1320
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt
new file mode 100644
index 0000000..3b1abfc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_520.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_520.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1380.088000   21478.000000   1380.088000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065214    -    -  
+JER      lnN     1.017210    -    -  
+JEC      lnN     1.001458    -    -  
+trigger      lnN     1.071008    -    -  
+PDF      lnN     1.021050    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002570 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..01f352e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-WOfIeE.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.11216e-11  -2.11216e-11/+0.00962403  (68% CL)
+nll S+B -> -0.01893  nll B -> -0.01893
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..81858f7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0649414
+Sigma  for expected limits: 0.033134
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1159.76 (r = 4.66294e-13)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1110.16 (r = 4.08504e-06)
+At r = 1.200000:	q_mu = 283.73452	q_A  = 249.46338	CLsb = 0.00000	CLb  = 0.13898	CLs  = 0.00000
+At r = 0.600000:	q_mu = 148.55383	q_A  = 123.15580	CLsb = 0.00000	CLb  = 0.12625	CLs  = 0.00000
+At r = 0.300000:	q_mu = 69.20048	q_A  = 51.07121	CLsb = 0.00000	CLb  = 0.10232	CLs  = 0.00000
+At r = 0.150000:	q_mu = 28.81604	q_A  = 17.33047	CLsb = 0.00000	CLb  = 0.08387	CLs  = 0.00000
+At r = 0.075000:	q_mu = 11.48154	q_A  = 5.00595	CLsb = 0.00011	CLb  = 0.07393	CLs  = 0.00155
+At r = 0.037500:	q_mu = 4.72991	q_A  = 1.33298	CLsb = 0.00432	CLb  = 0.07063	CLs  = 0.06122
+At r = 0.056250:	q_mu = 7.89039	q_A  = 2.90700	CLsb = 0.00077	CLb  = 0.07195	CLs  = 0.01073
+At r = 0.046875:	q_mu = 6.25161	q_A  = 2.05022	CLsb = 0.00187	CLb  = 0.07117	CLs  = 0.02630
+At r = 0.041172:	q_mu = 5.31170	q_A  = 1.59713	CLsb = 0.00313	CLb  = 0.07083	CLs  = 0.04425
+At r = 0.039332:	q_mu = 5.01762	q_A  = 1.46179	CLsb = 0.00369	CLb  = 0.07071	CLs  = 0.05213
+At r = 0.040074:	q_mu = 5.13557	q_A  = 1.51558	CLsb = 0.00345	CLb  = 0.07075	CLs  = 0.04881
+At r = 0.039708:	q_mu = 5.07730	q_A  = 1.48892	CLsb = 0.00357	CLb  = 0.07073	CLs  = 0.05042
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0397
+Expected  2.5%: r < 0.0342
+Expected 16.0%: r < 0.0462
+Expected 50.0%: r < 0.0649
+Expected 84.0%: r < 0.0926
+Expected 97.5%: r < 0.1274
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt
new file mode 100644
index 0000000..cf5be95
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_530.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_530.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1410.322000   21478.000000   1410.322000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065406    -    -  
+JER      lnN     1.017099    -    -  
+JEC      lnN     1.000762    -    -  
+trigger      lnN     1.070453    -    -  
+PDF      lnN     1.021536    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002978 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ff3ef66
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-JUSUfS.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.52378e-11  -3.52378e-11/+0.00774481  (68% CL)
+nll S+B -> -0.025308  nll B -> -0.0253079
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..dd9b460
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0629883
+Sigma  for expected limits: 0.0321375
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1239.31 (r = 2.25578e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1176.17 (r = 3.52923e-06)
+At r = 1.200000:	q_mu = 301.67404	q_A  = 258.04014	CLsb = 0.00000	CLb  = 0.08721	CLs  = 0.00000
+At r = 0.600000:	q_mu = 159.98470	q_A  = 128.09808	CLsb = 0.00000	CLb  = 0.07947	CLs  = 0.00000
+At r = 0.300000:	q_mu = 76.50399	q_A  = 53.64744	CLsb = 0.00000	CLb  = 0.05935	CLs  = 0.00000
+At r = 0.150000:	q_mu = 32.94684	q_A  = 18.38196	CLsb = 0.00000	CLb  = 0.04470	CLs  = 0.00000
+At r = 0.075000:	q_mu = 13.59647	q_A  = 5.34155	CLsb = 0.00002	CLb  = 0.03706	CLs  = 0.00056
+At r = 0.037500:	q_mu = 5.76783	q_A  = 1.42472	CLsb = 0.00129	CLb  = 0.03443	CLs  = 0.03757
+At r = 0.018750:	q_mu = 2.58330	q_A  = 0.37042	CLsb = 0.00762	CLb  = 0.03454	CLs  = 0.22067
+At r = 0.028125:	q_mu = 4.10567	q_A  = 0.81524	CLsb = 0.00321	CLb  = 0.03422	CLs  = 0.09395
+At r = 0.033287:	q_mu = 5.00421	q_A  = 1.13090	CLsb = 0.00196	CLb  = 0.03429	CLs  = 0.05715
+At r = 0.035203:	q_mu = 5.34835	q_A  = 1.26064	CLsb = 0.00162	CLb  = 0.03435	CLs  = 0.04729
+At r = 0.034369:	q_mu = 5.19778	q_A  = 1.20331	CLsb = 0.00176	CLb  = 0.03433	CLs  = 0.05137
+At r = 0.034754:	q_mu = 5.26711	q_A  = 1.22960	CLsb = 0.00170	CLb  = 0.03434	CLs  = 0.04945
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0348
+Expected  2.5%: r < 0.0330
+Expected 16.0%: r < 0.0447
+Expected 50.0%: r < 0.0630
+Expected 84.0%: r < 0.0894
+Expected 97.5%: r < 0.1233
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt
new file mode 100644
index 0000000..380c7e4
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_540.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_540.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1440.556000   21478.000000   1440.556000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065623    -    -  
+JER      lnN     1.016916    -    -  
+JEC      lnN     1.000329    -    -  
+trigger      lnN     1.070093    -    -  
+PDF      lnN     1.021959    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.003190 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..d8692da
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-wnEtZE.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 5.12257e-12  -5.12257e-12/+0.00614845  (68% CL)
+nll S+B -> -0.0256249  nll B -> -0.0256248
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..95c7ae8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0610352
+Sigma  for expected limits: 0.031141
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1307.91 (r = 1.90479e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1235.66 (r = 5.33407e-07)
+At r = 1.200000:	q_mu = 318.34318	q_A  = 265.27849	CLsb = 0.00000	CLb  = 0.05166	CLs  = 0.00000
+At r = 0.600000:	q_mu = 170.99904	q_A  = 132.20672	CLsb = 0.00000	CLb  = 0.04581	CLs  = 0.00000
+At r = 0.300000:	q_mu = 83.97501	q_A  = 55.81014	CLsb = 0.00000	CLb  = 0.02971	CLs  = 0.00000
+At r = 0.150000:	q_mu = 37.48589	q_A  = 19.27459	CLsb = 0.00000	CLb  = 0.01904	CLs  = 0.00000
+At r = 0.075000:	q_mu = 16.08621	q_A  = 5.62862	CLsb = 0.00000	CLb  = 0.01376	CLs  = 0.00017
+At r = 0.037500:	q_mu = 7.05328	q_A  = 1.50326	CLsb = 0.00024	CLb  = 0.01181	CLs  = 0.02050
+At r = 0.018750:	q_mu = 3.23165	q_A  = 0.39035	CLsb = 0.00187	CLb  = 0.01149	CLs  = 0.16313
+At r = 0.028125:	q_mu = 5.07469	q_A  = 0.85997	CLsb = 0.00069	CLb  = 0.01153	CLs  = 0.05964
+At r = 0.031238:	q_mu = 5.71748	q_A  = 1.05500	CLsb = 0.00049	CLb  = 0.01161	CLs  = 0.04210
+At r = 0.029386:	q_mu = 5.33318	q_A  = 0.93658	CLsb = 0.00060	CLb  = 0.01156	CLs  = 0.05184
+At r = 0.030014:	q_mu = 5.46281	q_A  = 0.97592	CLsb = 0.00056	CLb  = 0.01158	CLs  = 0.04832
+At r = 0.029644:	q_mu = 5.38644	q_A  = 0.95267	CLsb = 0.00058	CLb  = 0.01157	CLs  = 0.05036
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0296
+Expected  2.5%: r < 0.0319
+Expected 16.0%: r < 0.0433
+Expected 50.0%: r < 0.0610
+Expected 84.0%: r < 0.0868
+Expected 97.5%: r < 0.1196
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt
new file mode 100644
index 0000000..e78ed16
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_550.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1470.79 21478	1470.79
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06585    -	-
+JER       lnN     1.01675   - 	-
+JEC       lnN     1.0002   -	-
+trigger   lnN     1.0697740714   -   -
+PDF       lnN     1.02229693932   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.003
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..5b53e16
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-Oz2giW.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.69984e-12  -2.69984e-12/+0.00542085  (68% CL)
+nll S+B -> -0.0177246  nll B -> -0.0177247
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ebcd5d6
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0581055
+Sigma  for expected limits: 0.0296462
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1412.69 (r = 2.30364e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1337.55 (r = 6.5538e-07)
+At r = 1.200000:	q_mu = 337.97816	q_A  = 279.80817	CLsb = 0.00000	CLb  = 0.04104	CLs  = 0.00000
+At r = 0.600000:	q_mu = 182.44382	q_A  = 140.28663	CLsb = 0.00000	CLb  = 0.03757	CLs  = 0.00000
+At r = 0.300000:	q_mu = 91.07932	q_A  = 60.12155	CLsb = 0.00000	CLb  = 0.02295	CLs  = 0.00000
+At r = 0.150000:	q_mu = 41.37452	q_A  = 21.08670	CLsb = 0.00000	CLb  = 0.01359	CLs  = 0.00000
+At r = 0.075000:	q_mu = 18.00755	q_A  = 6.22094	CLsb = 0.00000	CLb  = 0.00907	CLs  = 0.00007
+At r = 0.037500:	q_mu = 7.96595	q_A  = 1.66702	CLsb = 0.00010	CLb  = 0.00736	CLs  = 0.01299
+At r = 0.018750:	q_mu = 3.66765	q_A  = 0.43220	CLsb = 0.00091	CLb  = 0.00693	CLs  = 0.13126
+At r = 0.028125:	q_mu = 5.74511	q_A  = 0.95352	CLsb = 0.00030	CLb  = 0.00707	CLs  = 0.04267
+At r = 0.025191:	q_mu = 5.07926	q_A  = 0.76929	CLsb = 0.00043	CLb  = 0.00701	CLs  = 0.06108
+At r = 0.026501:	q_mu = 5.37462	q_A  = 0.84925	CLsb = 0.00037	CLb  = 0.00704	CLs  = 0.05209
+At r = 0.027092:	q_mu = 5.50894	q_A  = 0.88664	CLsb = 0.00034	CLb  = 0.00705	CLs  = 0.04845
+At r = 0.026768:	q_mu = 5.43523	q_A  = 0.86604	CLsb = 0.00036	CLb  = 0.00705	CLs  = 0.05041
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0268
+Expected  2.5%: r < 0.0304
+Expected 16.0%: r < 0.0412
+Expected 50.0%: r < 0.0581
+Expected 84.0%: r < 0.0827
+Expected 97.5%: r < 0.1131
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/datacard_560_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/datacard_560_novo_285_625.txt
new file mode 100644
index 0000000..d4678d4
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/datacard_560_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_560.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_560.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1519.230000   21478.000000   1519.230000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066076    -    -  
+JER      lnN     1.016666    -    -  
+JEC      lnN     1.000394    -    -  
+trigger      lnN     1.069371    -    -  
+PDF      lnN     1.022536    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002274 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..d961681
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-3q6Ft6.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.04277e-12  -4.04277e-12/+0.00583139  (68% CL)
+nll S+B -> -0.00585726  nll B -> -0.00585739
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0e35a17
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0551758
+Sigma  for expected limits: 0.0281514
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1513.13 (r = 7.95351e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1443.32 (r = 1.6636e-06)
+At r = 1.200000:	q_mu = 349.15414	q_A  = 295.26224	CLsb = 0.00000	CLb  = 0.05842	CLs  = 0.00000
+At r = 0.600000:	q_mu = 187.02376	q_A  = 148.60825	CLsb = 0.00000	CLb  = 0.05756	CLs  = 0.00000
+At r = 0.300000:	q_mu = 92.89482	q_A  = 64.59979	CLsb = 0.00000	CLb  = 0.03919	CLs  = 0.00000
+At r = 0.150000:	q_mu = 41.62093	q_A  = 22.99341	CLsb = 0.00000	CLb  = 0.02605	CLs  = 0.00000
+At r = 0.075000:	q_mu = 17.70895	q_A  = 6.84938	CLsb = 0.00000	CLb  = 0.01901	CLs  = 0.00007
+At r = 0.037500:	q_mu = 7.64810	q_A  = 1.83969	CLsb = 0.00023	CLb  = 0.01613	CLs  = 0.01456
+At r = 0.018750:	q_mu = 3.45738	q_A  = 0.47517	CLsb = 0.00217	CLb  = 0.01527	CLs  = 0.14209
+At r = 0.028125:	q_mu = 5.46932	q_A  = 1.05137	CLsb = 0.00074	CLb  = 0.01561	CLs  = 0.04723
+At r = 0.025862:	q_mu = 4.96804	q_A  = 0.89274	CLsb = 0.00096	CLb  = 0.01552	CLs  = 0.06205
+At r = 0.027295:	q_mu = 5.28413	q_A  = 0.99162	CLsb = 0.00081	CLb  = 0.01557	CLs  = 0.05224
+At r = 0.027749:	q_mu = 5.38536	q_A  = 1.02413	CLsb = 0.00077	CLb  = 0.01559	CLs  = 0.04944
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0277
+Expected  2.5%: r < 0.0289
+Expected 16.0%: r < 0.0392
+Expected 50.0%: r < 0.0552
+Expected 84.0%: r < 0.0785
+Expected 97.5%: r < 0.1074
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/datacard_570_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/datacard_570_novo_285_625.txt
new file mode 100644
index 0000000..f7b3f04
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/datacard_570_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_570.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_570.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1567.670000   21478.000000   1567.670000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066308    -    -  
+JER      lnN     1.016631    -    -  
+JEC      lnN     1.000839    -    -  
+trigger      lnN     1.068883    -    -  
+PDF      lnN     1.022695    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.001174 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..49d6317
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-ZWDOKc.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.88696e-11  -1.88696e-11/+0.00742071  (68% CL)
+nll S+B -> -0.000151946  nll B -> -0.00015145
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d0ab98a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0512695
+Sigma  for expected limits: 0.0261584
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1633.85 (r = 4.49786e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1568.78 (r = 7.01707e-05)
+At r = 1.200000:	q_mu = 358.05515	q_A  = 316.11919	CLsb = 0.00000	CLb  = 0.11914	CLs  = 0.00000
+At r = 0.600000:	q_mu = 188.60644	q_A  = 159.45804	CLsb = 0.00000	CLb  = 0.12422	CLs  = 0.00000
+At r = 0.300000:	q_mu = 91.98416	q_A  = 70.50728	CLsb = 0.00000	CLb  = 0.10047	CLs  = 0.00000
+At r = 0.150000:	q_mu = 39.71867	q_A  = 25.54593	CLsb = 0.00000	CLb  = 0.08045	CLs  = 0.00000
+At r = 0.075000:	q_mu = 15.97041	q_A  = 7.69701	CLsb = 0.00001	CLb  = 0.06797	CLs  = 0.00015
+At r = 0.037500:	q_mu = 6.48895	q_A  = 2.06962	CLsb = 0.00147	CLb  = 0.06227	CLs  = 0.02356
+At r = 0.018750:	q_mu = 2.79407	q_A  = 0.52979	CLsb = 0.01121	CLb  = 0.05992	CLs  = 0.18702
+At r = 0.028125:	q_mu = 4.53828	q_A  = 1.17987	CLsb = 0.00424	CLb  = 0.06106	CLs  = 0.06948
+At r = 0.032281:	q_mu = 5.37876	q_A  = 1.54564	CLsb = 0.00268	CLb  = 0.06159	CLs  = 0.04348
+At r = 0.030459:	q_mu = 5.00559	q_A  = 1.37981	CLsb = 0.00328	CLb  = 0.06137	CLs  = 0.05351
+At r = 0.031300:	q_mu = 5.17676	q_A  = 1.45512	CLsb = 0.00299	CLb  = 0.06146	CLs  = 0.04864
+At r = 0.030938:	q_mu = 5.10280	q_A  = 1.42241	CLsb = 0.00311	CLb  = 0.06142	CLs  = 0.05069
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0309
+Expected  2.5%: r < 0.0276
+Expected 16.0%: r < 0.0369
+Expected 50.0%: r < 0.0513
+Expected 84.0%: r < 0.0737
+Expected 97.5%: r < 0.1010
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt
new file mode 100644
index 0000000..172575a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_580.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_580.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1616.110000   21478.000000   1616.110000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066556    -    -  
+JER      lnN     1.016590    -    -  
+JEC      lnN     1.001442    -    -  
+trigger      lnN     1.068343    -    -  
+PDF      lnN     1.022800    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.000062 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..e003eaa
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-qQs2Li.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.46156e-11  -1.46156e-11/+0.00875272  (68% CL)
+nll S+B -> -0.00184131  nll B -> -0.00184132
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6060042
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out
@@ -0,0 +1,43 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0473633
+Sigma  for expected limits: 0.0241654
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1788.75 (r = 1.29573e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1732.84 (r = 0.000380108)
+At r = 1.200000:	q_mu = 384.16187	q_A  = 350.37609	CLsb = 0.00000	CLb  = 0.18340	CLs  = 0.00000
+At r = 0.600000:	q_mu = 199.54444	q_A  = 176.76417	CLsb = 0.00000	CLb  = 0.19580	CLs  = 0.00000
+At r = 0.300000:	q_mu = 97.05287	q_A  = 80.20967	CLsb = 0.00000	CLb  = 0.17352	CLs  = 0.00000
+At r = 0.150000:	q_mu = 41.12239	q_A  = 29.89517	CLsb = 0.00000	CLb  = 0.15228	CLs  = 0.00000
+At r = 0.075000:	q_mu = 15.80497	q_A  = 9.19108	CLsb = 0.00002	CLb  = 0.13768	CLs  = 0.00014
+At r = 0.037500:	q_mu = 6.02933	q_A  = 2.48367	CLsb = 0.00346	CLb  = 0.13031	CLs  = 0.02653
+At r = 0.018750:	q_mu = 2.44633	q_A  = 0.62966	CLsb = 0.02630	CLb  = 0.12616	CLs  = 0.20844
+At r = 0.028125:	q_mu = 4.10785	q_A  = 1.41273	CLsb = 0.01011	CLb  = 0.12845	CLs  = 0.07869
+At r = 0.033129:	q_mu = 5.10269	q_A  = 1.94985	CLsb = 0.00578	CLb  = 0.12946	CLs  = 0.04464
+At r = 0.031328:	q_mu = 4.73636	q_A  = 1.74761	CLsb = 0.00710	CLb  = 0.12915	CLs  = 0.05494
+At r = 0.032342:	q_mu = 4.94170	q_A  = 1.86016	CLsb = 0.00632	CLb  = 0.12930	CLs  = 0.04890
+At r = 0.031985:	q_mu = 4.86894	q_A  = 1.82007	CLsb = 0.00659	CLb  = 0.12924	CLs  = 0.05096
+At r = 0.032188:	q_mu = 4.91029	q_A  = 1.84283	CLsb = 0.00644	CLb  = 0.12928	CLs  = 0.04978
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0322
+Expected  2.5%: r < 0.0248
+Expected 16.0%: r < 0.0336
+Expected 50.0%: r < 0.0474
+Expected 84.0%: r < 0.0666
+Expected 97.5%: r < 0.0911
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt
new file mode 100644
index 0000000..637da8e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_590.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_590.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1664.550000   21478.000000   1664.550000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066830    -    -  
+JER      lnN     1.016485    -    -  
+JEC      lnN     1.002111    -    -  
+trigger      lnN     1.067782    -    -  
+PDF      lnN     1.022875    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.001199 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..5eda36a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-RMkSP7.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.2469e-12  -3.2469e-12/+0.00879363  (68% CL)
+nll S+B -> -0.00433203  nll B -> -0.00433212
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2a25920
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0405273
+Sigma  for expected limits: 0.0206776
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1980.12 (r = 3.52987e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1930.47 (r = 0.000443992)
+At r = 1.200000:	q_mu = 431.54010	q_A  = 401.36090	CLsb = 0.00000	CLb  = 0.22566	CLs  = 0.00000
+At r = 0.600000:	q_mu = 222.52345	q_A  = 202.32560	CLsb = 0.00000	CLb  = 0.23886	CLs  = 0.00000
+At r = 0.300000:	q_mu = 109.87098	q_A  = 94.99571	CLsb = 0.00000	CLb  = 0.22270	CLs  = 0.00000
+At r = 0.150000:	q_mu = 47.09773	q_A  = 36.94170	CLsb = 0.00000	CLb  = 0.20172	CLs  = 0.00000
+At r = 0.075000:	q_mu = 17.90354	q_A  = 11.77390	CLsb = 0.00001	CLb  = 0.18588	CLs  = 0.00004
+At r = 0.037500:	q_mu = 6.57543	q_A  = 3.23999	CLsb = 0.00320	CLb  = 0.17709	CLs  = 0.01807
+At r = 0.018750:	q_mu = 2.54256	q_A  = 0.82346	CLsb = 0.03182	CLb  = 0.17176	CLs  = 0.18527
+At r = 0.028125:	q_mu = 4.39130	q_A  = 1.84775	CLsb = 0.01087	CLb  = 0.17474	CLs  = 0.06220
+At r = 0.031325:	q_mu = 5.10107	q_A  = 2.28333	CLsb = 0.00727	CLb  = 0.17557	CLs  = 0.04143
+At r = 0.029501:	q_mu = 4.69170	q_A  = 2.02981	CLsb = 0.00916	CLb  = 0.17510	CLs  = 0.05234
+At r = 0.030151:	q_mu = 4.83626	q_A  = 2.11868	CLsb = 0.00845	CLb  = 0.17528	CLs  = 0.04818
+At r = 0.029788:	q_mu = 4.75537	q_A  = 2.06885	CLsb = 0.00884	CLb  = 0.17518	CLs  = 0.05046
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0298
+Expected  2.5%: r < 0.0218
+Expected 16.0%: r < 0.0291
+Expected 50.0%: r < 0.0405
+Expected 84.0%: r < 0.0583
+Expected 97.5%: r < 0.0799
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt
new file mode 100644
index 0000000..41d9f2f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_600.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1712.99 21478	1712.99
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06714    -	-
+JER       lnN     1.01626   - 	-
+JEC       lnN     1.00275   -	-
+trigger   lnN     1.06723   -   -
+PDF       lnN     1.0229477477   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.002
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..9368e8a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-e3GiPn.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.46143e-13  -4.46143e-13/+0.00757318  (68% CL)
+nll S+B -> -0.0075776  nll B -> -0.00757764
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e2869dc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.034668
+Sigma  for expected limits: 0.0176881
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -2146.05 (r = 1.7886e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -2100.07 (r = 0.000278787)
+At r = 1.200000:	q_mu = 489.06886	q_A  = 459.38126	CLsb = 0.00000	CLb  = 0.24429	CLs  = 0.00000
+At r = 0.600000:	q_mu = 249.73992	q_A  = 230.36330	CLsb = 0.00000	CLb  = 0.26163	CLs  = 0.00000
+At r = 0.300000:	q_mu = 127.54527	q_A  = 112.52347	CLsb = 0.00000	CLb  = 0.23945	CLs  = 0.00000
+At r = 0.150000:	q_mu = 56.57569	q_A  = 45.95345	CLsb = 0.00000	CLb  = 0.21667	CLs  = 0.00000
+At r = 0.075000:	q_mu = 22.04618	q_A  = 15.38028	CLsb = 0.00000	CLb  = 0.19770	CLs  = 0.00000
+At r = 0.037500:	q_mu = 8.12069	q_A  = 4.38445	CLsb = 0.00141	CLb  = 0.18615	CLs  = 0.00759
+At r = 0.018750:	q_mu = 3.09751	q_A  = 1.14139	CLsb = 0.02364	CLb  = 0.17997	CLs  = 0.13134
+At r = 0.028125:	q_mu = 5.39921	q_A  = 2.52724	CLsb = 0.00633	CLb  = 0.18319	CLs  = 0.03457
+At r = 0.024177:	q_mu = 4.37502	q_A  = 1.88275	CLsb = 0.01129	CLb  = 0.18189	CLs  = 0.06210
+At r = 0.026135:	q_mu = 4.87337	q_A  = 2.19166	CLsb = 0.00851	CLb  = 0.18254	CLs  = 0.04664
+At r = 0.025362:	q_mu = 4.67451	q_A  = 2.06730	CLsb = 0.00953	CLb  = 0.18229	CLs  = 0.05226
+At r = 0.025757:	q_mu = 4.77568	q_A  = 2.13038	CLsb = 0.00900	CLb  = 0.18242	CLs  = 0.04932
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0258
+Expected  2.5%: r < 0.0187
+Expected 16.0%: r < 0.0252
+Expected 50.0%: r < 0.0347
+Expected 84.0%: r < 0.0499
+Expected 97.5%: r < 0.0685
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt
new file mode 100644
index 0000000..2c3f55e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_610.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_610.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1742.314000   21478.000000   1742.314000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067494    -    -  
+JER      lnN     1.015874    -    -  
+JEC      lnN     1.003287    -    -  
+trigger      lnN     1.066713    -    -  
+PDF      lnN     1.023038    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.002287 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..277724f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-12qsHX.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 8.57647e-14  -8.57647e-14/+0.0060579  (68% CL)
+nll S+B -> -0.0107287  nll B -> -0.0107287
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2b8ca9d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0297852
+Sigma  for expected limits: 0.0151968
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -2314.88 (r = 2.0707e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -2271.76 (r = 2.80838e-08)
+At r = 1.200000:	q_mu = 554.15482	q_A  = 524.06003	CLsb = 0.00000	CLb  = 0.25549	CLs  = 0.00000
+At r = 0.600000:	q_mu = 283.46162	q_A  = 262.52164	CLsb = 0.00000	CLb  = 0.25908	CLs  = 0.00000
+At r = 0.300000:	q_mu = 148.84709	q_A  = 132.87084	CLsb = 0.00000	CLb  = 0.24416	CLs  = 0.00000
+At r = 0.150000:	q_mu = 68.83873	q_A  = 57.11430	CLsb = 0.00000	CLb  = 0.21897	CLs  = 0.00000
+At r = 0.075000:	q_mu = 27.92795	q_A  = 20.23739	CLsb = 0.00000	CLb  = 0.19634	CLs  = 0.00000
+At r = 0.037500:	q_mu = 10.53896	q_A  = 6.05964	CLsb = 0.00037	CLb  = 0.18146	CLs  = 0.00206
+At r = 0.018750:	q_mu = 4.04454	q_A  = 1.64431	CLsb = 0.01327	CLb  = 0.17466	CLs  = 0.07598
+At r = 0.028125:	q_mu = 7.03696	q_A  = 3.55410	CLsb = 0.00249	CLb  = 0.17782	CLs  = 0.01398
+At r = 0.023438:	q_mu = 5.47073	q_A  = 2.51846	CLsb = 0.00592	CLb  = 0.17614	CLs  = 0.03359
+At r = 0.020672:	q_mu = 4.61154	q_A  = 1.98240	CLsb = 0.00960	CLb  = 0.17524	CLs  = 0.05478
+At r = 0.021638:	q_mu = 4.90612	q_A  = 2.16322	CLsb = 0.00813	CLb  = 0.17555	CLs  = 0.04628
+At r = 0.021091:	q_mu = 4.73840	q_A  = 2.05987	CLsb = 0.00893	CLb  = 0.17537	CLs  = 0.05094
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0211
+Expected  2.5%: r < 0.0154
+Expected 16.0%: r < 0.0208
+Expected 50.0%: r < 0.0298
+Expected 84.0%: r < 0.0417
+Expected 97.5%: r < 0.0581
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt
new file mode 100644
index 0000000..6a8f00e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_620.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_620.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1771.638000   21478.000000   1771.638000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067885    -    -  
+JER      lnN     1.015346    -    -  
+JEC      lnN     1.003726    -    -  
+trigger      lnN     1.066228    -    -  
+PDF      lnN     1.023147    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.002116 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt
new file mode 100644
index 0000000..5f97a8f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_650.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1859.61 21478	1859.61
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06919    -	-
+JER       lnN     1.01327   - 	-
+JEC       lnN     1.0047   -	-
+trigger   lnN     1.0648885684   -   -
+PDF       lnN     1.02353914841   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..f52675d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-xN4W5d.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.126102  -0.126102/+2.83469  (68% CL)
+nll S+B -> -0.00136914  nll B -> -0.000318579
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..78b89ad
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.89062
+Sigma  for expected limits: 3.00548
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.306981 (r = 0.121879)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.330482 (r = 4.93472e-05)
+At r = 39.962318:	q_mu = 75.80425	q_A  = 74.74510	CLsb = 0.00000	CLb  = 0.47558	CLs  = 0.00000
+At r = 20.042098:	q_mu = 30.18384	q_A  = 29.80061	CLsb = 0.00000	CLb  = 0.48600	CLs  = 0.00000
+At r = 10.081988:	q_mu = 10.01207	q_A  = 9.96915	CLsb = 0.00078	CLb  = 0.49729	CLs  = 0.00156
+At r = 5.101934:	q_mu = 2.88326	q_A  = 2.93778	CLsb = 0.04475	CLb  = 0.50637	CLs  = 0.08838
+At r = 7.591961:	q_mu = 6.05332	q_A  = 6.07134	CLsb = 0.00694	CLb  = 0.50146	CLs  = 0.01384
+At r = 6.346947:	q_mu = 4.35454	q_A  = 4.39465	CLsb = 0.01846	CLb  = 0.50382	CLs  = 0.03663
+At r = 5.746076:	q_mu = 3.61436	q_A  = 3.66256	CLsb = 0.02864	CLb  = 0.50504	CLs  = 0.05671
+At r = 6.004759:	q_mu = 3.92618	q_A  = 3.97110	CLsb = 0.02377	CLb  = 0.50451	CLs  = 0.04711
+At r = 5.886674:	q_mu = 3.78246	q_A  = 3.82889	CLsb = 0.02590	CLb  = 0.50475	CLs  = 0.05131
+At r = 5.938865:	q_mu = 3.84563	q_A  = 3.89138	CLsb = 0.02494	CLb  = 0.50464	CLs  = 0.04942
+At r = 5.915371:	q_mu = 3.81706	q_A  = 3.86310	CLsb = 0.02537	CLb  = 0.50469	CLs  = 0.05026
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.9154
+Expected  2.5%: r < 3.0834
+Expected 16.0%: r < 4.1580
+Expected 50.0%: r < 5.8906
+Expected 84.0%: r < 8.4969
+Expected 97.5%: r < 11.8439
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
new file mode 100644
index 0000000..33bec67
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1000.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  4.694 1443	4.694
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.08278    -	-
+JER       lnN     1.01204   - 	-
+JEC       lnN     1.00468   -	-
+trigger   lnN     1.0573539334   -       -
+PDF       lnN     1.02645918657   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.061
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..cd48722
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-knfVtR.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 8.87507e-09  -8.87507e-09/+1.09336  (68% CL)
+nll S+B -> -0.000954903  nll B -> -0.000954888
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c10c878
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.21875
+Sigma  for expected limits: 3.17289
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1.10418 (r = 3.74902e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.355836 (r = 9.4531e-06)
+At r = 3.670872:	q_mu = 4.14572	q_A  = 1.43620	CLsb = 0.00993	CLb  = 0.12914	CLs  = 0.07691
+At r = 7.341743:	q_mu = 10.13323	q_A  = 5.18263	CLsb = 0.00038	CLb  = 0.13845	CLs  = 0.00278
+At r = 3.670872:	q_mu = 4.14573	q_A  = 1.43620	CLsb = 0.00993	CLb  = 0.12914	CLs  = 0.07691
+At r = 5.506308:	q_mu = 6.96063	q_A  = 3.07347	CLsb = 0.00211	CLb  = 0.13379	CLs  = 0.01574
+At r = 4.436619:	q_mu = 5.27070	q_A  = 2.05550	CLsb = 0.00531	CLb  = 0.13108	CLs  = 0.04051
+At r = 4.082287:	q_mu = 4.74131	q_A  = 1.75766	CLsb = 0.00712	CLb  = 0.13024	CLs  = 0.05469
+At r = 4.237770:	q_mu = 4.97151	q_A  = 1.88567	CLsb = 0.00627	CLb  = 0.13059	CLs  = 0.04798
+At r = 4.167502:	q_mu = 4.86706	q_A  = 1.82723	CLsb = 0.00664	CLb  = 0.13042	CLs  = 0.05091
+At r = 4.198730:	q_mu = 4.91338	q_A  = 1.85304	CLsb = 0.00647	CLb  = 0.13049	CLs  = 0.04959
+At r = 4.184713:	q_mu = 4.89256	q_A  = 1.84142	CLsb = 0.00655	CLb  = 0.13046	CLs  = 0.05018
+
+ -- Asymptotic -- 
+Observed Limit: r < 4.1847
+Expected  2.5%: r < 3.2430
+Expected 16.0%: r < 4.3705
+Expected 50.0%: r < 6.2188
+Expected 84.0%: r < 8.9950
+Expected 97.5%: r < 12.5971
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt
new file mode 100644
index 0000000..06c8316
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1050.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1050.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.357080   1443.000000   4.357080 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.083901    -    -  
+JER      lnN     1.012146    -    -  
+JEC      lnN     1.003780    -    -  
+trigger      lnN     1.057102    -    -  
+PDF      lnN     1.028044    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.089678 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..f21ea22
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-B7D6GG.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.56911e-09  -2.56911e-09/+1.52141  (68% CL)
+nll S+B -> -0.000676864  nll B -> -0.000676842
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1157641
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.95312
+Sigma  for expected limits: 3.54758
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.868114 (r = 8.42799e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.375002 (r = 8.1962e-05)
+At r = 5.201996:	q_mu = 4.66136	q_A  = 2.25008	CLsb = 0.01062	CLb  = 0.21077	CLs  = 0.05038
+At r = 10.403991:	q_mu = 12.01496	q_A  = 7.88679	CLsb = 0.00020	CLb  = 0.23117	CLs  = 0.00085
+At r = 5.202000:	q_mu = 4.66137	q_A  = 2.25009	CLsb = 0.01062	CLb  = 0.21077	CLs  = 0.05038
+At r = 7.802995:	q_mu = 8.09233	q_A  = 4.74640	CLsb = 0.00161	CLb  = 0.22127	CLs  = 0.00726
+At r = 6.502498:	q_mu = 6.30560	q_A  = 3.40627	CLsb = 0.00426	CLb  = 0.21609	CLs  = 0.01969
+At r = 5.470379:	q_mu = 4.98794	q_A  = 2.47240	CLsb = 0.00884	CLb  = 0.21188	CLs  = 0.04172
+At r = 5.264184:	q_mu = 4.73711	q_A  = 2.30157	CLsb = 0.01018	CLb  = 0.21107	CLs  = 0.04821
+At r = 5.222904:	q_mu = 4.68655	q_A  = 2.26708	CLsb = 0.01047	CLb  = 0.21086	CLs  = 0.04965
+At r = 5.210568:	q_mu = 4.67169	q_A  = 2.25705	CLsb = 0.01056	CLb  = 0.21081	CLs  = 0.05007
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.2106
+Expected  2.5%: r < 3.6259
+Expected 16.0%: r < 4.8866
+Expected 50.0%: r < 6.9531
+Expected 84.0%: r < 10.0295
+Expected 97.5%: r < 14.0670
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt
new file mode 100644
index 0000000..884b241
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1100.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1100.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.020160   1443.000000   4.020160 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.084904    -    -  
+JER      lnN     1.012157    -    -  
+JEC      lnN     1.004427    -    -  
+trigger      lnN     1.057066    -    -  
+PDF      lnN     1.030113    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.100846 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..982e1bc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-Thr4St.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -2.28715/+5.33929e-07  (68% CL)
+nll S+B -> -0.775062  nll B -> -0.00127039
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..532dad1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.53125
+Sigma  for expected limits: 3.33233
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.491704 (r = 3.82992)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.44047 (r = 0.0557444)
+At r = 13.083317:	q_mu = 6.87455	q_A  = 13.08884	CLsb = 0.00437	CLb  = 0.84035	CLs  = 0.00520
+At r = 8.456618:	q_mu = 1.95426	q_A  = 6.17759	CLsb = 0.08106	CLb  = 0.86160	CLs  = 0.09409
+At r = 10.769968:	q_mu = 4.12571	q_A  = 9.43232	CLsb = 0.02112	CLb  = 0.85084	CLs  = 0.02482
+At r = 9.797290:	q_mu = 3.13378	q_A  = 8.00821	CLsb = 0.03834	CLb  = 0.85534	CLs  = 0.04483
+At r = 9.371175:	q_mu = 2.73413	q_A  = 7.40883	CLsb = 0.04911	CLb  = 0.85733	CLs  = 0.05729
+At r = 9.560261:	q_mu = 2.90928	q_A  = 7.67326	CLsb = 0.04404	CLb  = 0.85643	CLs  = 0.05142
+At r = 9.646323:	q_mu = 2.98966	q_A  = 7.79496	CLsb = 0.04190	CLb  = 0.85608	CLs  = 0.04894
+At r = 9.599281:	q_mu = 2.94537	q_A  = 7.72831	CLsb = 0.04306	CLb  = 0.85628	CLs  = 0.05029
+
+ -- Asymptotic -- 
+Observed Limit: r < 9.5993
+Expected  2.5%: r < 3.4315
+Expected 16.0%: r < 4.6060
+Expected 50.0%: r < 6.5312
+Expected 84.0%: r < 9.3689
+Expected 97.5%: r < 13.0984
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt
new file mode 100644
index 0000000..f7325ee
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1150.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1150.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.683240   1443.000000   3.683240 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.085827    -    -  
+JER      lnN     1.012104    -    -  
+JEC      lnN     1.006106    -    -  
+trigger      lnN     1.057174    -    -  
+PDF      lnN     1.032505    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.100341 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..759b1ef
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-PiGY7p.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.78553  -1.78553/+1.21447  (68% CL)
+nll S+B -> -0.223129  nll B -> -0.000605522
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..fefad24
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.42188
+Sigma  for expected limits: 2.76631
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.263761 (r = 1.78414)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.523063 (r = 0.0149269)
+At r = 9.879654:	q_mu = 6.58853	q_A  = 10.71622	CLsb = 0.00513	CLb  = 0.76014	CLs  = 0.00675
+At r = 5.831897:	q_mu = 1.89778	q_A  = 4.37418	CLsb = 0.08416	CLb  = 0.76234	CLs  = 0.11040
+At r = 7.855776:	q_mu = 3.97839	q_A  = 7.32822	CLsb = 0.02304	CLb  = 0.76192	CLs  = 0.03024
+At r = 6.822384:	q_mu = 2.84053	q_A  = 5.75647	CLsb = 0.04596	CLb  = 0.76235	CLs  = 0.06028
+At r = 7.253236:	q_mu = 3.29697	q_A  = 6.39688	CLsb = 0.03470	CLb  = 0.76222	CLs  = 0.04553
+At r = 7.052066:	q_mu = 3.08114	q_A  = 6.09553	CLsb = 0.03960	CLb  = 0.76226	CLs  = 0.05195
+At r = 7.139045:	q_mu = 3.17355	q_A  = 6.22509	CLsb = 0.03742	CLb  = 0.76225	CLs  = 0.04909
+At r = 7.099128:	q_mu = 3.13095	q_A  = 6.16548	CLsb = 0.03841	CLb  = 0.76226	CLs  = 0.05039
+At r = 7.116593:	q_mu = 3.14954	q_A  = 6.19153	CLsb = 0.03797	CLb  = 0.76226	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.1166
+Expected  2.5%: r < 2.8062
+Expected 16.0%: r < 3.7973
+Expected 50.0%: r < 5.4219
+Expected 84.0%: r < 7.9072
+Expected 97.5%: r < 11.1582
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt
new file mode 100644
index 0000000..88e6d18
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1200.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1200.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  3.34632 1443	3.34632
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.08671    -	-
+JER       lnN     1.01202   - 	-
+JEC       lnN     1.0083   -	-
+trigger   lnN     1.0573539334   -       -
+PDF       lnN     1.03505815889   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.094
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..c755850
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-ufjKPR.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.60933  -2.60933/+0.390668  (68% CL)
+nll S+B -> -0.0587001  nll B -> -0.000347132
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..87c582d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.676879 (0.033844 times rMax), while it should be at zero
+Median for expected limits: 16.0625
+Sigma  for expected limits: 8.1953
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0978673 (r = 2.61195)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.179176 (r = 0.687894)
+At r = 23.576533:	q_mu = 6.63403	q_A  = 8.08372	CLsb = 0.00500	CLb  = 0.60547	CLs  = 0.00826
+At r = 13.094243:	q_mu = 1.79300	q_A  = 2.57114	CLsb = 0.09028	CLb  = 0.60428	CLs  = 0.14940
+At r = 18.335388:	q_mu = 3.89109	q_A  = 5.01396	CLsb = 0.02427	CLb  = 0.60511	CLs  = 0.04011
+At r = 16.584466:	q_mu = 3.11234	q_A  = 4.12181	CLsb = 0.03885	CLb  = 0.60490	CLs  = 0.06423
+At r = 17.329494:	q_mu = 3.43462	q_A  = 4.49257	CLsb = 0.03192	CLb  = 0.60499	CLs  = 0.05276
+At r = 17.688570:	q_mu = 3.59495	q_A  = 4.67615	CLsb = 0.02898	CLb  = 0.60504	CLs  = 0.04789
+At r = 17.489099:	q_mu = 3.50548	q_A  = 4.57376	CLsb = 0.03058	CLb  = 0.60501	CLs  = 0.05055
+At r = 17.561319:	q_mu = 3.53773	q_A  = 4.61070	CLsb = 0.02999	CLb  = 0.60502	CLs  = 0.04957
+At r = 17.521528:	q_mu = 3.51993	q_A  = 4.59033	CLsb = 0.03032	CLb  = 0.60502	CLs  = 0.05011
+
+ -- Asymptotic -- 
+Observed Limit: r < 17.5215
+Expected  2.5%: r < 8.8156
+Expected 16.0%: r < 11.5898
+Expected 50.0%: r < 16.0625
+Expected 84.0%: r < 22.5291
+Expected 97.5%: r < 30.6496
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
new file mode 100644
index 0000000..8173774
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_550.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  2.47576 1443	2.47576
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06518    -	-
+JER       lnN     1.01484   - 	-
+JEC       lnN     1.02905   -	-
+trigger   lnN     1.0697740714   -       -
+PDF       lnN     1.02229693932   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.170
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..b6550f1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-if3tmY.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -3/+2.32656e-06  (68% CL)
+nll S+B -> -0.375263  nll B -> -0.000484971
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..8c09a7f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.217878 (0.010894 times rMax), while it should be at zero
+Median for expected limits: 16.9375
+Sigma  for expected limits: 8.64174
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.3179 (r = 9.66702)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.196502 (r = 0.327943)
+At r = 34.307469:	q_mu = 7.36075	q_A  = 13.99118	CLsb = 0.00333	CLb  = 0.84789	CLs  = 0.00393
+At r = 21.987246:	q_mu = 2.04213	q_A  = 6.29372	CLsb = 0.07650	CLb  = 0.85986	CLs  = 0.08897
+At r = 28.147357:	q_mu = 4.36843	q_A  = 9.88047	CLsb = 0.01831	CLb  = 0.85389	CLs  = 0.02144
+At r = 25.214693:	q_mu = 3.16881	q_A  = 8.09937	CLsb = 0.03753	CLb  = 0.85675	CLs  = 0.04380
+At r = 24.087051:	q_mu = 2.75105	q_A  = 7.44913	CLsb = 0.04860	CLb  = 0.85784	CLs  = 0.05665
+At r = 24.750526:	q_mu = 2.99422	q_A  = 7.82963	CLsb = 0.04178	CLb  = 0.85719	CLs  = 0.04874
+At r = 24.527853:	q_mu = 2.91156	q_A  = 7.70107	CLsb = 0.04397	CLb  = 0.85741	CLs  = 0.05129
+At r = 24.661315:	q_mu = 2.96095	q_A  = 7.77799	CLsb = 0.04265	CLb  = 0.85728	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 24.6613
+Expected  2.5%: r < 9.0973
+Expected 16.0%: r < 12.1292
+Expected 50.0%: r < 16.9375
+Expected 84.0%: r < 24.0264
+Expected 97.5%: r < 32.9353
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
new file mode 100644
index 0000000..70d1b75
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_570.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_570.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            2.691840   1443.000000   2.691840 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065891    -    -  
+JER      lnN     1.014267    -    -  
+JEC      lnN     1.029145    -    -  
+trigger      lnN     1.068784    -    -  
+PDF      lnN     1.022540    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.123068 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..0edf527
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-gyJz09.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.01073e-08  -1.01073e-08/+3  (68% CL)
+nll S+B -> -0.000318925  nll B -> -0.000318854
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e2fdc1d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.093465 (0.004673 times rMax), while it should be at zero
+Median for expected limits: 14.6875
+Sigma  for expected limits: 7.49376
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.247526 (r = 3.32732e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.164158 (r = 0.122343)
+At r = 79.459005:	q_mu = 60.92950	q_A  = 60.46277	CLsb = 0.00000	CLb  = 0.48803	CLs  = 0.00000
+At r = 39.729519:	q_mu = 22.74922	q_A  = 22.04264	CLsb = 0.00000	CLb  = 0.47001	CLs  = 0.00000
+At r = 19.864776:	q_mu = 7.33392	q_A  = 6.71684	CLsb = 0.00336	CLb  = 0.45262	CLs  = 0.00742
+At r = 9.932405:	q_mu = 2.22187	q_A  = 1.81572	CLsb = 0.06704	CLb  = 0.44010	CLs  = 0.15233
+At r = 14.898590:	q_mu = 4.47675	q_A  = 3.94486	CLsb = 0.01700	CLb  = 0.44674	CLs  = 0.03805
+At r = 12.415498:	q_mu = 3.26650	q_A  = 2.79185	CLsb = 0.03492	CLb  = 0.44353	CLs  = 0.07874
+At r = 13.656088:	q_mu = 3.85141	q_A  = 3.34683	CLsb = 0.02457	CLb  = 0.44516	CLs  = 0.05520
+At r = 14.168936:	q_mu = 4.10511	q_A  = 3.58893	CLsb = 0.02114	CLb  = 0.44582	CLs  = 0.04743
+At r = 13.923510:	q_mu = 3.98279	q_A  = 3.47211	CLsb = 0.02273	CLb  = 0.44550	CLs  = 0.05102
+At r = 14.026836:	q_mu = 4.03408	q_A  = 3.52107	CLsb = 0.02205	CLb  = 0.44564	CLs  = 0.04948
+At r = 13.977911:	q_mu = 4.00976	q_A  = 3.49785	CLsb = 0.02237	CLb  = 0.44557	CLs  = 0.05020
+
+ -- Asymptotic -- 
+Observed Limit: r < 13.9779
+Expected  2.5%: r < 7.7740
+Expected 16.0%: r < 10.4476
+Expected 50.0%: r < 14.6875
+Expected 84.0%: r < 20.9518
+Expected 97.5%: r < 29.0098
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
new file mode 100644
index 0000000..fdcd83f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_600.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  3.01596 1443	3.01596
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06702    -	-
+JER       lnN     1.01328   - 	-
+JEC       lnN     1.02779   -	-
+trigger   lnN     1.06723   -       -
+PDF       lnN     1.0229477477   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.053
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..7936954
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-MCENtw.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.23012  -2.23012/+0.769876  (68% CL)
+nll S+B -> -0.0667896  nll B -> -0.000318166
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e16a8a0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.032860 (0.001643 times rMax), while it should be at zero
+Median for expected limits: 12.8125
+Sigma  for expected limits: 6.53711
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0328461 (r = 2.21884)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.148222 (r = 0.0223934)
+At r = 18.850043:	q_mu = 6.12695	q_A  = 7.72669	CLsb = 0.00666	CLb  = 0.61960	CLs  = 0.01074
+At r = 10.534443:	q_mu = 1.68081	q_A  = 2.63984	CLsb = 0.09741	CLb  = 0.62866	CLs  = 0.15495
+At r = 14.692243:	q_mu = 3.61623	q_A  = 4.91789	CLsb = 0.02861	CLb  = 0.62400	CLs  = 0.04585
+At r = 12.613343:	q_mu = 2.56950	q_A  = 3.70576	CLsb = 0.05447	CLb  = 0.62630	CLs  = 0.08697
+At r = 14.051293:	q_mu = 3.27820	q_A  = 4.53006	CLsb = 0.03510	CLb  = 0.62469	CLs  = 0.05619
+At r = 14.345582:	q_mu = 3.43132	q_A  = 4.70619	CLsb = 0.03199	CLb  = 0.62438	CLs  = 0.05123
+At r = 14.475564:	q_mu = 3.50018	q_A  = 4.78514	CLsb = 0.03068	CLb  = 0.62423	CLs  = 0.04915
+At r = 14.406511:	q_mu = 3.46353	q_A  = 4.74314	CLsb = 0.03137	CLb  = 0.62431	CLs  = 0.05024
+
+ -- Asymptotic -- 
+Observed Limit: r < 14.4065
+Expected  2.5%: r < 6.7816
+Expected 16.0%: r < 9.1139
+Expected 50.0%: r < 12.8125
+Expected 84.0%: r < 18.3793
+Expected 97.5%: r < 25.5346
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
new file mode 100644
index 0000000..3b8fb61
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_620.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_620.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.188416   1443.000000   3.188416 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067850    -    -  
+JER      lnN     1.012513    -    -  
+JEC      lnN     1.025219    -    -  
+trigger      lnN     1.066147    -    -  
+PDF      lnN     1.023254    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.006706 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..516d6f0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-l3ZD4G.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 7.38771e-11  -7.38771e-11/+1.69318  (68% CL)
+nll S+B -> -0.000418202  nll B -> -0.000417911
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ac36daf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.036911 (0.001846 times rMax), while it should be at zero
+Median for expected limits: 11.2188
+Sigma  for expected limits: 5.72396
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.13525 (r = 8.38602e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.139447 (r = 0.007078)
+At r = 5.544822:	q_mu = 3.82966	q_A  = 1.00163	CLsb = 0.00790	CLb  = 0.07885	CLs  = 0.10014
+At r = 11.089643:	q_mu = 9.10509	q_A  = 3.76819	CLsb = 0.00046	CLb  = 0.08462	CLs  = 0.00540
+At r = 5.544822:	q_mu = 3.83012	q_A  = 1.00164	CLsb = 0.00789	CLb  = 0.07882	CLs  = 0.10012
+At r = 8.317232:	q_mu = 6.31446	q_A  = 2.19025	CLsb = 0.00203	CLb  = 0.08176	CLs  = 0.02484
+At r = 7.204215:	q_mu = 5.27726	q_A  = 1.66317	CLsb = 0.00356	CLb  = 0.08058	CLs  = 0.04423
+At r = 6.672977:	q_mu = 4.80059	q_A  = 1.43478	CLsb = 0.00462	CLb  = 0.08002	CLs  = 0.05778
+At r = 6.902908:	q_mu = 5.00539	q_A  = 1.53175	CLsb = 0.00413	CLb  = 0.08026	CLs  = 0.05150
+At r = 7.009992:	q_mu = 5.10155	q_A  = 1.57789	CLsb = 0.00392	CLb  = 0.08037	CLs  = 0.04880
+At r = 6.949906:	q_mu = 5.04751	q_A  = 1.55192	CLsb = 0.00404	CLb  = 0.08031	CLs  = 0.05030
+At r = 6.971368:	q_mu = 5.06679	q_A  = 1.56117	CLsb = 0.00400	CLb  = 0.08033	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.9714
+Expected  2.5%: r < 5.8942
+Expected 16.0%: r < 7.9325
+Expected 50.0%: r < 11.2188
+Expected 84.0%: r < 16.0931
+Expected 97.5%: r < 22.2176
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
new file mode 100644
index 0000000..1b3d4dc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_650.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  3.4471 1443	3.4471
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06923    -	-
+JER       lnN     1.01174   - 	-
+JEC       lnN     1.021   -	-
+trigger   lnN     1.0648885684   -       -
+PDF       lnN     1.02353914841   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.062
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..e2bbc5e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-7AWopO.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0  -0/+0.943078  (68% CL)
+nll S+B -> -0.000480345  nll B -> -0.000480778
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..32efca1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 10.5938
+Sigma  for expected limits: 5.40507
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 6.55348 (r = 7.73786e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.140859 (r = 0.000895212)
+At r = 2.668819:	q_mu = 2.92081	q_A  = 0.26995	CLsb = 0.00107	CLb  = 0.00537	CLs  = 0.19890
+At r = 5.337638:	q_mu = 6.18428	q_A  = 1.04442	CLsb = 0.00020	CLb  = 0.00596	CLs  = 0.03401
+At r = 2.668819:	q_mu = 2.92081	q_A  = 0.26995	CLsb = 0.00107	CLb  = 0.00537	CLs  = 0.19890
+At r = 4.003229:	q_mu = 4.51431	q_A  = 0.59728	CLsb = 0.00047	CLb  = 0.00564	CLs  = 0.08366
+At r = 4.613778:	q_mu = 5.26881	q_A  = 0.78762	CLsb = 0.00032	CLb  = 0.00579	CLs  = 0.05566
+At r = 4.884563:	q_mu = 5.60881	q_A  = 0.88000	CLsb = 0.00027	CLb  = 0.00586	CLs  = 0.04634
+At r = 4.740494:	q_mu = 5.42752	q_A  = 0.83018	CLsb = 0.00030	CLb  = 0.00582	CLs  = 0.05109
+At r = 4.794828:	q_mu = 5.49579	q_A  = 0.84877	CLsb = 0.00029	CLb  = 0.00583	CLs  = 0.04925
+At r = 4.766054:	q_mu = 5.45962	q_A  = 0.83888	CLsb = 0.00029	CLb  = 0.00583	CLs  = 0.05022
+At r = 4.776933:	q_mu = 5.47329	q_A  = 0.84261	CLsb = 0.00029	CLb  = 0.00583	CLs  = 0.04985
+
+ -- Asymptotic -- 
+Observed Limit: r < 4.7769
+Expected  2.5%: r < 5.5659
+Expected 16.0%: r < 7.4710
+Expected 50.0%: r < 10.5938
+Expected 84.0%: r < 15.1965
+Expected 97.5%: r < 21.1128
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
new file mode 100644
index 0000000..887a76e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_670.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_670.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.583696   1443.000000   3.583696 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.070235    -    -  
+JER      lnN     1.011821    -    -  
+JEC      lnN     1.019524    -    -  
+trigger      lnN     1.064548    -    -  
+PDF      lnN     1.023480    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.106542 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..52d83b7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-l7FCcQ.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.11662e-11  -1.11662e-11/+2.05691  (68% CL)
+nll S+B -> -0.00102852  nll B -> -0.00102852
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6cf1469
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.90625
+Sigma  for expected limits: 5.0543
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.37286 (r = 1.62154e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.150395 (r = 1.95994e-05)
+At r = 5.271680:	q_mu = 3.15862	q_A  = 1.16982	CLsb = 0.02270	CLb  = 0.17894	CLs  = 0.12684
+At r = 10.543361:	q_mu = 8.06608	q_A  = 4.31544	CLsb = 0.00144	CLb  = 0.18333	CLs  = 0.00786
+At r = 5.271689:	q_mu = 3.15863	q_A  = 1.16982	CLsb = 0.02270	CLb  = 0.17894	CLs  = 0.12684
+At r = 7.907525:	q_mu = 5.42801	q_A  = 2.52793	CLsb = 0.00618	CLb  = 0.18088	CLs  = 0.03414
+At r = 6.767369:	q_mu = 4.39724	q_A  = 1.88395	CLsb = 0.01107	CLb  = 0.17995	CLs  = 0.06149
+At r = 7.316085:	q_mu = 4.88498	q_A  = 2.18415	CLsb = 0.00839	CLb  = 0.18042	CLs  = 0.04648
+At r = 7.091924:	q_mu = 4.68353	q_A  = 2.05897	CLsb = 0.00940	CLb  = 0.18022	CLs  = 0.05216
+At r = 7.202632:	q_mu = 4.78263	q_A  = 2.12033	CLsb = 0.00889	CLb  = 0.18031	CLs  = 0.04928
+At r = 7.158009:	q_mu = 4.74258	q_A  = 2.09548	CLsb = 0.00909	CLb  = 0.18027	CLs  = 0.05043
+At r = 7.180199:	q_mu = 4.76246	q_A  = 2.10781	CLsb = 0.00899	CLb  = 0.18029	CLs  = 0.04986
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.1802
+Expected  2.5%: r < 5.1660
+Expected 16.0%: r < 6.9991
+Expected 50.0%: r < 9.9062
+Expected 84.0%: r < 14.2103
+Expected 97.5%: r < 19.7426
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt
new file mode 100644
index 0000000..5397b47
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_700.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_700.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.788590   1443.000000   3.788590 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.071790    -    -  
+JER      lnN     1.012558    -    -  
+JEC      lnN     1.018856    -    -  
+trigger      lnN     1.064349    -    -  
+PDF      lnN     1.023240    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.162675 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ae31cda
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-IxGPO1.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.27483  -2.27483/+0.725173  (68% CL)
+nll S+B -> -0.12689  nll B -> -0.00196883
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ff1328e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.53125
+Sigma  for expected limits: 4.86297
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.96628 (r = 2.27446)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.158676 (r = 0.00281509)
+At r = 15.598229:	q_mu = 6.85311	q_A  = 9.33954	CLsb = 0.00442	CLb  = 0.66939	CLs  = 0.00661
+At r = 8.936344:	q_mu = 1.91004	q_A  = 3.41892	CLsb = 0.08348	CLb  = 0.67975	CLs  = 0.12281
+At r = 12.267286:	q_mu = 4.07462	q_A  = 6.10472	CLsb = 0.02177	CLb  = 0.67444	CLs  = 0.03227
+At r = 10.728145:	q_mu = 2.98984	q_A  = 4.78766	CLsb = 0.04189	CLb  = 0.67687	CLs  = 0.06189
+At r = 11.439483:	q_mu = 3.47408	q_A  = 5.38102	CLsb = 0.03117	CLb  = 0.67574	CLs  = 0.04613
+At r = 11.141124:	q_mu = 3.26762	q_A  = 5.12912	CLsb = 0.03533	CLb  = 0.67620	CLs  = 0.05225
+At r = 11.285011:	q_mu = 3.36645	q_A  = 5.24994	CLsb = 0.03327	CLb  = 0.67598	CLs  = 0.04922
+At r = 11.225778:	q_mu = 3.32559	q_A  = 5.20005	CLsb = 0.03410	CLb  = 0.67607	CLs  = 0.05045
+At r = 11.254646:	q_mu = 3.34547	q_A  = 5.22434	CLsb = 0.03370	CLb  = 0.67603	CLs  = 0.04984
+
+ -- Asymptotic -- 
+Observed Limit: r < 11.2546
+Expected  2.5%: r < 4.9704
+Expected 16.0%: r < 6.7163
+Expected 50.0%: r < 9.5312
+Expected 84.0%: r < 13.6724
+Expected 97.5%: r < 18.9953
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt
new file mode 100644
index 0000000..7406f77
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_720.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_720.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.925186   1443.000000   3.925186 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.072800    -    -  
+JER      lnN     1.013124    -    -  
+JEC      lnN     1.018544    -    -  
+trigger      lnN     1.063997    -    -  
+PDF      lnN     1.023199    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.186371 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..b0a2a83
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-4YZWI7.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -2.68253/+5.94575e-10  (68% CL)
+nll S+B -> -0.582019  nll B -> -0.00321461
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..4c8d809
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.96875
+Sigma  for expected limits: 4.57598
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.71563 (r = 5.27332)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.169492 (r = 0.00944538)
+At r = 18.889224:	q_mu = 7.05923	q_A  = 14.35939	CLsb = 0.00394	CLb  = 0.87128	CLs  = 0.00453
+At r = 12.081272:	q_mu = 1.98294	q_A  = 6.61555	CLsb = 0.07954	CLb  = 0.87777	CLs  = 0.09062
+At r = 15.485248:	q_mu = 4.21196	q_A  = 10.24511	CLsb = 0.02007	CLb  = 0.87462	CLs  = 0.02295
+At r = 13.941030:	q_mu = 3.11557	q_A  = 8.53056	CLsb = 0.03877	CLb  = 0.87608	CLs  = 0.04426
+At r = 13.315815:	q_mu = 2.71083	q_A  = 7.86749	CLsb = 0.04983	CLb  = 0.87666	CLs  = 0.05685
+At r = 13.572237:	q_mu = 2.87431	q_A  = 8.13740	CLsb = 0.04500	CLb  = 0.87641	CLs  = 0.05135
+At r = 13.698811:	q_mu = 2.95598	q_A  = 8.27197	CLsb = 0.04278	CLb  = 0.87632	CLs  = 0.04882
+At r = 13.625541:	q_mu = 2.90843	q_A  = 8.19394	CLsb = 0.04406	CLb  = 0.87638	CLs  = 0.05027
+
+ -- Asymptotic -- 
+Observed Limit: r < 13.6255
+Expected  2.5%: r < 4.7121
+Expected 16.0%: r < 6.3250
+Expected 50.0%: r < 8.9688
+Expected 84.0%: r < 12.8655
+Expected 97.5%: r < 17.8742
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
new file mode 100644
index 0000000..50b1d19
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_750.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  4.13008 1443	4.13008
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.07417    -	-
+JER       lnN     1.01351   - 	-
+JEC       lnN     1.01674   -	-
+trigger   lnN     1.0624078267   -       -
+PDF       lnN     1.0236949058   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.190
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..394d5de
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-XwpooA.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -2.12822/+3.25227e-10  (68% CL)
+nll S+B -> -0.779633  nll B -> -0.00309164
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2eec501
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.5625
+Sigma  for expected limits: 4.3687
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.49637 (r = 6.05382)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.157625 (r = 0.000477728)
+At r = 19.108166:	q_mu = 7.05540	q_A  = 15.80761	CLsb = 0.00395	CLb  = 0.90653	CLs  = 0.00436
+At r = 12.580991:	q_mu = 1.98678	q_A  = 7.72038	CLsb = 0.07934	CLb  = 0.91450	CLs  = 0.08676
+At r = 15.844578:	q_mu = 4.21380	q_A  = 11.53837	CLsb = 0.02005	CLb  = 0.91054	CLs  = 0.02202
+At r = 14.282970:	q_mu = 3.06273	q_A  = 9.64755	CLsb = 0.04005	CLb  = 0.91245	CLs  = 0.04390
+At r = 13.682389:	q_mu = 2.66074	q_A  = 8.95066	CLsb = 0.05143	CLb  = 0.91318	CLs  = 0.05632
+At r = 14.031909:	q_mu = 2.89245	q_A  = 9.35454	CLsb = 0.04450	CLb  = 0.91274	CLs  = 0.04875
+At r = 13.913005:	q_mu = 2.81257	q_A  = 9.21635	CLsb = 0.04676	CLb  = 0.91289	CLs  = 0.05123
+At r = 13.983351:	q_mu = 2.85968	q_A  = 9.29799	CLsb = 0.04541	CLb  = 0.91280	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 13.9834
+Expected  2.5%: r < 4.4987
+Expected 16.0%: r < 6.0385
+Expected 50.0%: r < 8.5625
+Expected 84.0%: r < 12.2827
+Expected 97.5%: r < 17.0646
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt
new file mode 100644
index 0000000..31096e8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_770.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_770.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.215600   1443.000000   4.215600 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.074947    -    -  
+JER      lnN     1.013212    -    -  
+JEC      lnN     1.014052    -    -  
+trigger      lnN     1.060398    -    -  
+PDF      lnN     1.024524    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.167467 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..d912fa9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-QbD0Le.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -3/+1.23996e-06  (68% CL)
+nll S+B -> -0.397862  nll B -> -0.00178438
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0b71cce
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.03125
+Sigma  for expected limits: 4.09765
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.87384 (r = 3.54103)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.173959 (r = 0.00361293)
+At r = 15.439401:	q_mu = 7.08306	q_A  = 12.37403	CLsb = 0.00389	CLb  = 0.80408	CLs  = 0.00484
+At r = 9.490215:	q_mu = 1.97617	q_A  = 5.23321	CLsb = 0.07990	CLb  = 0.81107	CLs  = 0.09851
+At r = 12.464808:	q_mu = 4.21384	q_A  = 8.53838	CLsb = 0.02005	CLb  = 0.80765	CLs  = 0.02482
+At r = 11.255831:	q_mu = 3.22019	q_A  = 7.12345	CLsb = 0.03637	CLb  = 0.80907	CLs  = 0.04495
+At r = 10.711016:	q_mu = 2.80899	q_A  = 6.51681	CLsb = 0.04687	CLb  = 0.80970	CLs  = 0.05788
+At r = 10.963356:	q_mu = 2.99687	q_A  = 6.79559	CLsb = 0.04171	CLb  = 0.80940	CLs  = 0.05154
+At r = 11.073615:	q_mu = 3.08004	q_A  = 6.91893	CLsb = 0.03963	CLb  = 0.80932	CLs  = 0.04897
+At r = 11.015529:	q_mu = 3.03594	q_A  = 6.85381	CLsb = 0.04072	CLb  = 0.80937	CLs  = 0.05031
+At r = 11.037761:	q_mu = 3.05278	q_A  = 6.87868	CLsb = 0.04030	CLb  = 0.80935	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 11.0378
+Expected  2.5%: r < 4.2195
+Expected 16.0%: r < 5.6638
+Expected 50.0%: r < 8.0312
+Expected 84.0%: r < 11.5207
+Expected 97.5%: r < 15.9050
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
new file mode 100644
index 0000000..ff6e1c4
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_800.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  4.34388 1443	4.34388
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.07603    -	-
+JER       lnN     1.01239   - 	-
+JEC       lnN     1.00978   -	-
+trigger   lnN     1.0573539334   -       -
+PDF       lnN     1.02582057265   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.119
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..186b00e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-VaDU6B.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.82506  -0.82506/+2.17494  (68% CL)
+nll S+B -> -0.0256214  nll B -> -0.00112232
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..952f70d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.59375
+Sigma  for expected limits: 3.87443
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.90507 (r = 0.822466)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.190281 (r = 0.00085352)
+At r = 12.960312:	q_mu = 8.48282	q_A  = 10.03026	CLsb = 0.00179	CLb  = 0.60046	CLs  = 0.00299
+At r = 6.891389:	q_mu = 2.38010	q_A  = 3.20651	CLsb = 0.06144	CLb  = 0.59790	CLs  = 0.10277
+At r = 9.925851:	q_mu = 5.06323	q_A  = 6.26063	CLsb = 0.01222	CLb  = 0.59947	CLs  = 0.02038
+At r = 8.579381:	q_mu = 3.77086	q_A  = 4.80595	CLsb = 0.02608	CLb  = 0.59885	CLs  = 0.04354
+At r = 8.024366:	q_mu = 3.28403	q_A  = 4.25110	CLsb = 0.03498	CLb  = 0.59856	CLs  = 0.05844
+At r = 8.259716:	q_mu = 3.48738	q_A  = 4.48334	CLsb = 0.03092	CLb  = 0.59868	CLs  = 0.05165
+At r = 8.372175:	q_mu = 3.58586	q_A  = 4.59626	CLsb = 0.02914	CLb  = 0.59880	CLs  = 0.04866
+At r = 8.308605:	q_mu = 3.52988	q_A  = 4.53225	CLsb = 0.03014	CLb  = 0.59875	CLs  = 0.05033
+At r = 8.331263:	q_mu = 3.54978	q_A  = 4.55464	CLsb = 0.02978	CLb  = 0.59873	CLs  = 0.04973
+
+ -- Asymptotic -- 
+Observed Limit: r < 8.3313
+Expected  2.5%: r < 3.9749
+Expected 16.0%: r < 5.3743
+Expected 50.0%: r < 7.5938
+Expected 84.0%: r < 10.8931
+Expected 97.5%: r < 15.1339
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt
new file mode 100644
index 0000000..0a89bc9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_820.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_820.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.403416   1443.000000   4.403416 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.076790    -    -  
+JER      lnN     1.011977    -    -  
+JEC      lnN     1.008256    -    -  
+trigger      lnN     1.056303    -    -  
+PDF      lnN     1.026222    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.093336 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..a03350e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-h805SN.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 9.53106e-09  -9.53106e-09/+2.91267  (68% CL)
+nll S+B -> -0.000766987  nll B -> -0.000766988
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..3853765
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.21875
+Sigma  for expected limits: 3.6831
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.68322 (r = 1.52936e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.205901 (r = 2.23069e-05)
+At r = 41.062590:	q_mu = 64.23709	q_A  = 62.44540	CLsb = 0.00000	CLb  = 0.45487	CLs  = 0.00000
+At r = 20.531296:	q_mu = 24.62647	q_A  = 23.26193	CLsb = 0.00000	CLb  = 0.44375	CLs  = 0.00000
+At r = 10.265649:	q_mu = 8.17041	q_A  = 7.28403	CLsb = 0.00210	CLb  = 0.43478	CLs  = 0.00482
+At r = 5.132825:	q_mu = 2.53782	q_A  = 2.03141	CLsb = 0.05447	CLb  = 0.42950	CLs  = 0.12683
+At r = 7.699237:	q_mu = 5.04213	q_A  = 4.33081	CLsb = 0.01216	CLb  = 0.43215	CLs  = 0.02814
+At r = 6.402239:	q_mu = 3.68953	q_A  = 3.07782	CLsb = 0.02688	CLb  = 0.43080	CLs  = 0.06240
+At r = 6.950389:	q_mu = 4.24058	q_A  = 3.58581	CLsb = 0.01939	CLb  = 0.43137	CLs  = 0.04495
+At r = 6.698442:	q_mu = 3.98381	q_A  = 3.34865	CLsb = 0.02256	CLb  = 0.43111	CLs  = 0.05234
+At r = 6.809342:	q_mu = 4.09594	q_A  = 3.45211	CLsb = 0.02112	CLb  = 0.43122	CLs  = 0.04897
+At r = 6.759304:	q_mu = 4.04516	q_A  = 3.40524	CLsb = 0.02176	CLb  = 0.43117	CLs  = 0.05046
+At r = 6.781559:	q_mu = 4.06770	q_A  = 3.42605	CLsb = 0.02147	CLb  = 0.43120	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.7816
+Expected  2.5%: r < 3.7645
+Expected 16.0%: r < 5.1003
+Expected 50.0%: r < 7.2188
+Expected 84.0%: r < 10.3551
+Expected 97.5%: r < 14.3866
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt
new file mode 100644
index 0000000..4f38062
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_840.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_840.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.462952   1443.000000   4.462952 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.077582    -    -  
+JER      lnN     1.011732    -    -  
+JEC      lnN     1.007791    -    -  
+trigger      lnN     1.056045    -    -  
+PDF      lnN     1.026252    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.074586 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..da28161
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-MOacNM.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.61261e-12  -3.61261e-12/+2.30328  (68% CL)
+nll S+B -> -0.000569129  nll B -> -0.000569129
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..3bb61de
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.90625
+Sigma  for expected limits: 3.52366
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.55 (r = 1.38844e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.22096 (r = 3.84225e-05)
+At r = 10.895350:	q_mu = 10.72975	q_A  = 8.73884	CLsb = 0.00050	CLb  = 0.36816	CLs  = 0.00135
+At r = 5.447682:	q_mu = 3.60806	q_A  = 2.47373	CLsb = 0.02659	CLb  = 0.35920	CLs  = 0.07403
+At r = 8.171516:	q_mu = 6.83027	q_A  = 5.23605	CLsb = 0.00419	CLb  = 0.36379	CLs  = 0.01151
+At r = 6.809599:	q_mu = 5.12287	q_A  = 3.75014	CLsb = 0.01098	CLb  = 0.36151	CLs  = 0.03038
+At r = 6.200170:	q_mu = 4.41973	q_A  = 3.15152	CLsb = 0.01649	CLb  = 0.36048	CLs  = 0.04573
+At r = 5.938170:	q_mu = 4.13018	q_A  = 2.90800	CLsb = 0.01953	CLb  = 0.36004	CLs  = 0.05423
+At r = 6.090478:	q_mu = 4.29749	q_A  = 3.04847	CLsb = 0.01770	CLb  = 0.36029	CLs  = 0.04914
+At r = 6.038521:	q_mu = 4.24009	q_A  = 3.00020	CLsb = 0.01831	CLb  = 0.36020	CLs  = 0.05083
+At r = 6.069072:	q_mu = 4.27380	q_A  = 3.02854	CLsb = 0.01795	CLb  = 0.36025	CLs  = 0.04983
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.0691
+Expected  2.5%: r < 3.6015
+Expected 16.0%: r < 4.8795
+Expected 50.0%: r < 6.9062
+Expected 84.0%: r < 9.9069
+Expected 97.5%: r < 13.7638
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt
new file mode 100644
index 0000000..c95df46
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_860.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_860.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.522488   1443.000000   4.522488 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.078381    -    -  
+JER      lnN     1.011618    -    -  
+JEC      lnN     1.007967    -    -  
+trigger      lnN     1.056312    -    -  
+PDF      lnN     1.026049    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.060068 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..291046f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-M6sI3K.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 5.09176e-12  -5.09176e-12/+2.28839  (68% CL)
+nll S+B -> -0.000448735  nll B -> -0.000448736
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2c818d8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.53125
+Sigma  for expected limits: 3.33233
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.54841 (r = 4.17385e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.24256 (r = 4.52721e-06)
+At r = 12.669265:	q_mu = 14.48470	q_A  = 12.34968	CLsb = 0.00007	CLb  = 0.38065	CLs  = 0.00018
+At r = 6.334635:	q_mu = 4.82908	q_A  = 3.62033	CLsb = 0.01320	CLb  = 0.37538	CLs  = 0.03516
+At r = 3.167319:	q_mu = 1.61558	q_A  = 0.97640	CLsb = 0.09483	CLb  = 0.37319	CLs  = 0.25412
+At r = 4.750977:	q_mu = 3.04905	q_A  = 2.11579	CLsb = 0.03792	CLb  = 0.37418	CLs  = 0.10134
+At r = 5.596407:	q_mu = 3.95947	q_A  = 2.87682	CLsb = 0.02194	CLb  = 0.37480	CLs  = 0.05853
+At r = 5.926586:	q_mu = 4.34056	q_A  = 3.20102	CLsb = 0.01753	CLb  = 0.37507	CLs  = 0.04675
+At r = 5.781487:	q_mu = 4.17130	q_A  = 3.05665	CLsb = 0.01936	CLb  = 0.37495	CLs  = 0.05164
+At r = 5.848124:	q_mu = 4.24867	q_A  = 3.12258	CLsb = 0.01850	CLb  = 0.37500	CLs  = 0.04934
+At r = 5.819230:	q_mu = 4.21505	q_A  = 3.09392	CLsb = 0.01887	CLb  = 0.37498	CLs  = 0.05033
+At r = 5.832583:	q_mu = 4.23057	q_A  = 3.10714	CLsb = 0.01870	CLb  = 0.37499	CLs  = 0.04987
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.8326
+Expected  2.5%: r < 3.4187
+Expected 16.0%: r < 4.6224
+Expected 50.0%: r < 6.5312
+Expected 84.0%: r < 9.4210
+Expected 97.5%: r < 13.1319
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt
new file mode 100644
index 0000000..8ba635b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_880.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_880.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.582024   1443.000000   4.582024 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.079162    -    -  
+JER      lnN     1.011599    -    -  
+JEC      lnN     1.008366    -    -  
+trigger      lnN     1.056838    -    -  
+PDF      lnN     1.025749    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.047099 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..e43e4bc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-spplHc.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 5.28971e-10  -5.28971e-10/+2.07159  (68% CL)
+nll S+B -> -0.000353145  nll B -> -0.000353143
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..a3f0522
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.40625
+Sigma  for expected limits: 3.26856
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.48272 (r = 1.43736e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.250818 (r = 1.55245e-06)
+At r = 10.357689:	q_mu = 11.43257	q_A  = 9.02530	CLsb = 0.00033	CLb  = 0.34434	CLs  = 0.00096
+At r = 5.178845:	q_mu = 3.88106	q_A  = 2.56960	CLsb = 0.02211	CLb  = 0.34125	CLs  = 0.06478
+At r = 7.768267:	q_mu = 7.31134	q_A  = 5.42290	CLsb = 0.00313	CLb  = 0.34257	CLs  = 0.00913
+At r = 6.473556:	q_mu = 5.49697	q_A  = 3.88966	CLsb = 0.00866	CLb  = 0.34182	CLs  = 0.02534
+At r = 5.723640:	q_mu = 4.53503	q_A  = 3.09729	CLsb = 0.01506	CLb  = 0.34147	CLs  = 0.04412
+At r = 5.472696:	q_mu = 4.22912	q_A  = 2.84924	CLsb = 0.01801	CLb  = 0.34137	CLs  = 0.05276
+At r = 5.583154:	q_mu = 4.36271	q_A  = 2.95730	CLsb = 0.01666	CLb  = 0.34141	CLs  = 0.04879
+At r = 5.533310:	q_mu = 4.30222	q_A  = 2.90831	CLsb = 0.01726	CLb  = 0.34139	CLs  = 0.05054
+At r = 5.555472:	q_mu = 4.32907	q_A  = 2.93005	CLsb = 0.01699	CLb  = 0.34140	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.5555
+Expected  2.5%: r < 3.3658
+Expected 16.0%: r < 4.5416
+Expected 50.0%: r < 6.4062
+Expected 84.0%: r < 9.2407
+Expected 97.5%: r < 12.8806
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
new file mode 100644
index 0000000..6e8013d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_900.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  4.64156 1443	4.64156
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.0799    -	-
+JER       lnN     1.01164   - 	-
+JEC       lnN     1.00857   -	-
+trigger   lnN     1.0573539334   -       -
+PDF       lnN     1.02549102587   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.033
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..aa5197e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-1xjmZo.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.85086e-07  -4.85086e-07/+1.76529  (68% CL)
+nll S+B -> -0.000297801  nll B -> -0.000297692
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2a111c1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.10938
+Sigma  for expected limits: 3.11709
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.36944 (r = 2.39866e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.275525 (r = 0.000533625)
+At r = 7.680703:	q_mu = 8.15052	q_A  = 5.83501	CLsb = 0.00190	CLb  = 0.31587	CLs  = 0.00600
+At r = 3.840353:	q_mu = 2.91062	q_A  = 1.62117	CLsb = 0.03757	CLb  = 0.30630	CLs  = 0.12266
+At r = 5.760528:	q_mu = 5.29586	q_A  = 3.46264	CLsb = 0.00930	CLb  = 0.31115	CLs  = 0.02989
+At r = 4.816771:	q_mu = 4.05830	q_A  = 2.48426	CLsb = 0.01897	CLb  = 0.30877	CLs  = 0.06144
+At r = 5.221439:	q_mu = 4.57461	q_A  = 2.88759	CLsb = 0.01406	CLb  = 0.30981	CLs  = 0.04537
+At r = 5.036822:	q_mu = 4.33617	q_A  = 2.70033	CLsb = 0.01614	CLb  = 0.30933	CLs  = 0.05217
+At r = 5.118647:	q_mu = 4.44125	q_A  = 2.78265	CLsb = 0.01518	CLb  = 0.30954	CLs  = 0.04905
+At r = 5.081907:	q_mu = 4.39395	q_A  = 2.74556	CLsb = 0.01561	CLb  = 0.30945	CLs  = 0.05043
+At r = 5.098309:	q_mu = 4.41504	q_A  = 2.76209	CLsb = 0.01542	CLb  = 0.30949	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.0983
+Expected  2.5%: r < 3.1859
+Expected 16.0%: r < 4.2937
+Expected 50.0%: r < 6.1094
+Expected 84.0%: r < 8.8125
+Expected 97.5%: r < 12.2837
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt
new file mode 100644
index 0000000..6f47a15
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_920.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_920.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.652048   1443.000000   4.652048 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.080577    -    -  
+JER      lnN     1.011708    -    -  
+JEC      lnN     1.008263    -    -  
+trigger      lnN     1.057649    -    -  
+PDF      lnN     1.025387    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.015787 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..5cdae7b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-ZeDAL6.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.1965e-10  -2.1965e-10/+1.97888  (68% CL)
+nll S+B -> -0.00031826  nll B -> -0.000318212
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b23cbbf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.95312
+Sigma  for expected limits: 3.03736
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.551612 (r = 3.56507e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.292808 (r = 0.000622116)
+At r = 10.391315:	q_mu = 12.31834	q_A  = 10.26497	CLsb = 0.00021	CLb  = 0.37431	CLs  = 0.00057
+At r = 5.195658:	q_mu = 4.20774	q_A  = 3.00083	CLsb = 0.01873	CLb  = 0.36379	CLs  = 0.05149
+At r = 7.793487:	q_mu = 7.91167	q_A  = 6.24406	CLsb = 0.00231	CLb  = 0.36931	CLs  = 0.00625
+At r = 6.494572:	q_mu = 5.95710	q_A  = 4.50943	CLsb = 0.00686	CLb  = 0.36660	CLs  = 0.01872
+At r = 5.485691:	q_mu = 4.57884	q_A  = 3.31626	CLsb = 0.01509	CLb  = 0.36442	CLs  = 0.04141
+At r = 5.285018:	q_mu = 4.32086	q_A  = 3.09668	CLsb = 0.01753	CLb  = 0.36398	CLs  = 0.04817
+At r = 5.245112:	q_mu = 4.27023	q_A  = 3.05375	CLsb = 0.01806	CLb  = 0.36390	CLs  = 0.04963
+At r = 5.227273:	q_mu = 4.24767	q_A  = 3.03464	CLsb = 0.01830	CLb  = 0.36386	CLs  = 0.05030
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.2273
+Expected  2.5%: r < 3.0812
+Expected 16.0%: r < 4.1694
+Expected 50.0%: r < 5.9531
+Expected 84.0%: r < 8.5871
+Expected 97.5%: r < 12.0439
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt
new file mode 100644
index 0000000..8b0e8fd
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_940.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_940.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.662536   1443.000000   4.662536 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.081195    -    -  
+JER      lnN     1.011791    -    -  
+JEC      lnN     1.007532    -    -  
+trigger      lnN     1.057732    -    -  
+PDF      lnN     1.025447    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.003730 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ee27b1b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-GQuYPf.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.000
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.49657  -0.49657/+2.50343  (68% CL)
+nll S+B -> -0.0168804  nll B -> -0.000319344
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..7c515a1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.82812
+Sigma  for expected limits: 2.97359
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.204404 (r = 0.491632)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.310173 (r = 0.00238276)
+At r = 9.144900:	q_mu = 7.70409	q_A  = 8.48835	CLsb = 0.00275	CLb  = 0.55482	CLs  = 0.00497
+At r = 4.818266:	q_mu = 2.19876	q_A  = 2.69649	CLsb = 0.06906	CLb  = 0.56328	CLs  = 0.12261
+At r = 6.981583:	q_mu = 4.63367	q_A  = 5.29253	CLsb = 0.01568	CLb  = 0.55881	CLs  = 0.02805
+At r = 5.870720:	q_mu = 3.29329	q_A  = 3.87446	CLsb = 0.03478	CLb  = 0.56105	CLs  = 0.06199
+At r = 6.333853:	q_mu = 3.83026	q_A  = 4.44504	CLsb = 0.02517	CLb  = 0.56010	CLs  = 0.04493
+At r = 6.118248:	q_mu = 3.57626	q_A  = 4.17561	CLsb = 0.02931	CLb  = 0.56054	CLs  = 0.05228
+At r = 6.212178:	q_mu = 3.68606	q_A  = 4.29218	CLsb = 0.02743	CLb  = 0.56035	CLs  = 0.04896
+At r = 6.169325:	q_mu = 3.63580	q_A  = 4.23883	CLsb = 0.02827	CLb  = 0.56043	CLs  = 0.05045
+At r = 6.188168:	q_mu = 3.65786	q_A  = 4.26226	CLsb = 0.02790	CLb  = 0.56039	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.1882
+Expected  2.5%: r < 3.0393
+Expected 16.0%: r < 4.0960
+Expected 50.0%: r < 5.8281
+Expected 84.0%: r < 8.4532
+Expected 97.5%: r < 11.8206
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt
new file mode 100644
index 0000000..250c216
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_960.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_960.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.673024   1443.000000   4.673024 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.081763    -    -  
+JER      lnN     1.011880    -    -  
+JEC      lnN     1.006565    -    -  
+trigger      lnN     1.057667    -    -  
+PDF      lnN     1.025655    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.024039 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..be98927
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-hIxBkP.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.773882  -0.773882/+2.22612  (68% CL)
+nll S+B -> -0.0409509  nll B -> -0.000328799
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..60d6896
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.8125
+Sigma  for expected limits: 2.96562
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.169059 (r = 0.768863)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.323341 (r = 0.00286036)
+At r = 8.000155:	q_mu = 5.64868	q_A  = 6.80562	CLsb = 0.00873	CLb  = 0.59176	CLs  = 0.01476
+At r = 4.384509:	q_mu = 1.57402	q_A  = 2.28292	CLsb = 0.10481	CLb  = 0.60115	CLs  = 0.17435
+At r = 6.192332:	q_mu = 3.35784	q_A  = 4.31065	CLsb = 0.03344	CLb  = 0.59630	CLs  = 0.05608
+At r = 7.096244:	q_mu = 4.44653	q_A  = 5.50599	CLsb = 0.01749	CLb  = 0.59398	CLs  = 0.02944
+At r = 6.501949:	q_mu = 3.71717	q_A  = 4.70760	CLsb = 0.02693	CLb  = 0.59550	CLs  = 0.04522
+At r = 6.324421:	q_mu = 3.50936	q_A  = 4.47837	CLsb = 0.03051	CLb  = 0.59595	CLs  = 0.05120
+At r = 6.387004:	q_mu = 3.58206	q_A  = 4.55867	CLsb = 0.02920	CLb  = 0.59579	CLs  = 0.04902
+At r = 6.351638:	q_mu = 3.54089	q_A  = 4.51321	CLsb = 0.02994	CLb  = 0.59588	CLs  = 0.05024
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.3516
+Expected  2.5%: r < 3.0311
+Expected 16.0%: r < 4.0850
+Expected 50.0%: r < 5.8125
+Expected 84.0%: r < 8.3842
+Expected 97.5%: r < 11.7594
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt
new file mode 100644
index 0000000..64c5fff
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_980.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_980.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            4.683512   1443.000000   4.683512 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.082288    -    -  
+JER      lnN     1.011966    -    -  
+JEC      lnN     1.005552    -    -  
+trigger      lnN     1.057520    -    -  
+PDF      lnN     1.025998    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.043632 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..5309084
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-8Uih34.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 7.2279e-08  -7.2279e-08/+0.418245  (68% CL)
+nll S+B -> -0.0151476  nll B -> -0.0151476
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..bac0459
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.941406
+Sigma  for expected limits: 0.480318
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -3.98144 (r = 1.01987e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -11.5356 (r = 1.63924e-06)
+At r = 3.815762:	q_mu = 40.41295	q_A  = 39.63963	CLsb = 0.00000	CLb  = 0.47551	CLs  = 0.00000
+At r = 1.907881:	q_mu = 13.92126	q_A  = 13.44666	CLsb = 0.00010	CLb  = 0.47420	CLs  = 0.00020
+At r = 0.953940:	q_mu = 4.21011	q_A  = 3.94994	CLsb = 0.02004	CLb  = 0.47391	CLs  = 0.04229
+At r = 0.476970:	q_mu = 1.24105	q_A  = 1.10706	CLsb = 0.13224	CLb  = 0.47461	CLs  = 0.27864
+At r = 0.715455:	q_mu = 2.52945	q_A  = 2.33101	CLsb = 0.05572	CLb  = 0.47409	CLs  = 0.11753
+At r = 0.874982:	q_mu = 3.61309	q_A  = 3.37302	CLsb = 0.02859	CLb  = 0.47394	CLs  = 0.06032
+At r = 0.908362:	q_mu = 3.86076	q_A  = 3.61215	CLsb = 0.02465	CLb  = 0.47393	CLs  = 0.05201
+At r = 0.924435:	q_mu = 3.98250	q_A  = 3.72980	CLsb = 0.02293	CLb  = 0.47392	CLs  = 0.04838
+At r = 0.915378:	q_mu = 3.91370	q_A  = 3.66331	CLsb = 0.02389	CLb  = 0.47392	CLs  = 0.05040
+At r = 0.918606:	q_mu = 3.93815	q_A  = 3.68694	CLsb = 0.02354	CLb  = 0.47392	CLs  = 0.04967
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.9186
+Expected  2.5%: r < 0.4836
+Expected 16.0%: r < 0.6570
+Expected 50.0%: r < 0.9414
+Expected 84.0%: r < 1.3504
+Expected 97.5%: r < 1.8762
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
new file mode 100644
index 0000000..c8916b8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_260.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  180.858 15384	180.858
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06772    -	-
+JER       lnN     1.01516   - 	-
+JEC       lnN     1.01886   -	-
+trigger   lnN     1.0899073597   -   -
+PDF       lnN     1.01498468665   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.035
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..092c5d0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-X36iBI.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.81972e-09  -1.81972e-09/+0.107857  (68% CL)
+nll S+B -> -0.0321337  nll B -> -0.0321337
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2a0ef36
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.949219
+Sigma  for expected limits: 0.484304
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -10.5756 (r = 2.44211e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -10.3454 (r = 2.4003e-12)
+At r = 1.200000:	q_mu = 14.74283	q_A  = 5.85419	CLsb = 0.00001	CLb  = 0.03312	CLs  = 0.00031
+At r = 0.600000:	q_mu = 6.43905	q_A  = 1.71955	CLsb = 0.00093	CLb  = 0.03597	CLs  = 0.02593
+At r = 0.300000:	q_mu = 2.94263	q_A  = 0.52843	CLsb = 0.00848	CLb  = 0.04840	CLs  = 0.17524
+At r = 0.450000:	q_mu = 4.62700	q_A  = 1.04405	CLsb = 0.00276	CLb  = 0.03978	CLs  = 0.06937
+At r = 0.519940:	q_mu = 5.45670	q_A  = 1.33956	CLsb = 0.00166	CLb  = 0.03765	CLs  = 0.04415
+At r = 0.490546:	q_mu = 5.10468	q_A  = 1.21118	CLsb = 0.00206	CLb  = 0.03845	CLs  = 0.05346
+At r = 0.504654:	q_mu = 5.27305	q_A  = 1.27204	CLsb = 0.00186	CLb  = 0.03805	CLs  = 0.04878
+At r = 0.498800:	q_mu = 5.20305	q_A  = 1.24661	CLsb = 0.00194	CLb  = 0.03822	CLs  = 0.05068
+At r = 0.501627:	q_mu = 5.23682	q_A  = 1.25886	CLsb = 0.00190	CLb  = 0.03814	CLs  = 0.04976
+At r = 0.500457:	q_mu = 5.22284	q_A  = 1.25378	CLsb = 0.00191	CLb  = 0.03817	CLs  = 0.05013
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5005
+Expected  2.5%: r < 0.4728
+Expected 16.0%: r < 0.6533
+Expected 50.0%: r < 0.9492
+Expected 84.0%: r < 1.3692
+Expected 97.5%: r < 1.9085
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt
new file mode 100644
index 0000000..1771737
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_265.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_265.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            184.270500   15384.000000   184.270500 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068119    -    -  
+JER      lnN     1.016953    -    -  
+JEC      lnN     1.015310    -    -  
+trigger      lnN     1.082168    -    -  
+PDF      lnN     1.014765    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.060229 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..7c47840
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-qM75vQ.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.000
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.30017e-09  -1.30017e-09/+0.115945  (68% CL)
+nll S+B -> -0.0426799  nll B -> -0.0426799
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..9321f7c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.957031
+Sigma  for expected limits: 0.48829
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -8.95873 (r = 3.63878e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -9.40166 (r = 3.46667e-11)
+At r = 1.200000:	q_mu = 13.80277	q_A  = 5.70187	CLsb = 0.00002	CLb  = 0.04492	CLs  = 0.00049
+At r = 0.600000:	q_mu = 5.99297	q_A  = 1.72496	CLsb = 0.00165	CLb  = 0.05210	CLs  = 0.03168
+At r = 0.300000:	q_mu = 2.73229	q_A  = 0.55612	CLsb = 0.01373	CLb  = 0.07227	CLs  = 0.19003
+At r = 0.450000:	q_mu = 4.30106	q_A  = 1.06642	CLsb = 0.00468	CLb  = 0.05866	CLs  = 0.07974
+At r = 0.510679:	q_mu = 4.97118	q_A  = 1.31530	CLsb = 0.00307	CLb  = 0.05548	CLs  = 0.05524
+At r = 0.541362:	q_mu = 5.31752	q_A  = 1.45026	CLsb = 0.00248	CLb  = 0.05418	CLs  = 0.04574
+At r = 0.523640:	q_mu = 5.11688	q_A  = 1.37157	CLsb = 0.00280	CLb  = 0.05491	CLs  = 0.05102
+At r = 0.529806:	q_mu = 5.18649	q_A  = 1.39871	CLsb = 0.00268	CLb  = 0.05465	CLs  = 0.04912
+At r = 0.526268:	q_mu = 5.14652	q_A  = 1.38310	CLsb = 0.00275	CLb  = 0.05480	CLs  = 0.05020
+At r = 0.527502:	q_mu = 5.16045	q_A  = 1.38854	CLsb = 0.00273	CLb  = 0.05475	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5275
+Expected  2.5%: r < 0.4654
+Expected 16.0%: r < 0.6555
+Expected 50.0%: r < 0.9570
+Expected 84.0%: r < 1.3957
+Expected 97.5%: r < 1.9459
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
new file mode 100644
index 0000000..fb19ec6
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_270.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  187.683 15384	187.683
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06842    -	-
+JER       lnN     1.01813   - 	-
+JEC       lnN     1.01225   -	-
+trigger   lnN     1.0760638829   -   -
+PDF       lnN     1.01461887818   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.080
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
new file mode 100644
index 0000000..7768503
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_270.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  187.683 21478	187.683
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06842    -	-
+JER       lnN     1.01813   - 	-
+JEC       lnN     1.01225   -	-
+trigger   lnN     1.0760638829   -   -
+PDF       lnN     1.01461887818   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..db27bc1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-5UpEtv.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.39585e-08  -3.39585e-08/+0.200631  (68% CL)
+nll S+B -> -0.0624136  nll B -> -0.0624131
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2aba9f9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.847656
+Sigma  for expected limits: 0.432486
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -7.28357 (r = 9.4083e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -11.6216 (r = 2.5402e-10)
+At r = 1.200000:	q_mu = 10.61601	q_A  = 7.08703	CLsb = 0.00044	CLb  = 0.25373	CLs  = 0.00174
+At r = 0.600000:	q_mu = 3.97623	q_A  = 2.12344	CLsb = 0.01818	CLb  = 0.26247	CLs  = 0.06925
+At r = 0.900000:	q_mu = 7.01163	q_A  = 4.29266	CLsb = 0.00319	CLb  = 0.25586	CLs  = 0.01245
+At r = 0.750000:	q_mu = 5.41646	q_A  = 3.12399	CLsb = 0.00785	CLb  = 0.25833	CLs  = 0.03037
+At r = 0.677427:	q_mu = 4.69954	q_A  = 2.61822	CLsb = 0.01187	CLb  = 0.26007	CLs  = 0.04565
+At r = 0.648419:	q_mu = 4.42342	q_A  = 2.42734	CLsb = 0.01395	CLb  = 0.26089	CLs  = 0.05348
+At r = 0.664093:	q_mu = 4.57185	q_A  = 2.52966	CLsb = 0.01279	CLb  = 0.26044	CLs  = 0.04911
+At r = 0.658330:	q_mu = 4.51706	q_A  = 2.49181	CLsb = 0.01321	CLb  = 0.26060	CLs  = 0.05068
+At r = 0.661472:	q_mu = 4.54691	q_A  = 2.51242	CLsb = 0.01298	CLb  = 0.26051	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.6615
+Expected  2.5%: r < 0.4122
+Expected 16.0%: r < 0.5806
+Expected 50.0%: r < 0.8477
+Expected 84.0%: r < 1.2295
+Expected 97.5%: r < 1.7192
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt
new file mode 100644
index 0000000..b6aae1d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_275.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_275.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            202.212667   15384.000000   202.212667 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068547    -    -  
+JER      lnN     1.018227    -    -  
+JEC      lnN     1.010057    -    -  
+trigger      lnN     1.072849    -    -  
+PDF      lnN     1.014604    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.090120 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt
new file mode 100644
index 0000000..07b78eb
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_275.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_275.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            202.212667   21478.000000   202.212667 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068282    -    -  
+JER      lnN     1.016492    -    -  
+JEC      lnN     1.011421    -    -  
+trigger      lnN     1.077232    -    -  
+PDF      lnN     1.014798    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.007019 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..cfdce3c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-X4f1Z6.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.017969  -0.017969/+0.410022  (68% CL)
+nll S+B -> -0.0442087  nll B -> -0.043239
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b73ee20
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.759766
+Sigma  for expected limits: 0.387643
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -4.82875 (r = 0.0183068)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -13.3071 (r = 8.92511e-07)
+At r = 5.417510:	q_mu = 83.02110	q_A  = 85.73804	CLsb = 0.00000	CLb  = 0.55879	CLs  = 0.00000
+At r = 2.717909:	q_mu = 31.07922	q_A  = 32.96097	CLsb = 0.00000	CLb  = 0.56604	CLs  = 0.00000
+At r = 1.368108:	q_mu = 9.64842	q_A  = 10.72410	CLsb = 0.00095	CLb  = 0.56694	CLs  = 0.00167
+At r = 0.693207:	q_mu = 2.62177	q_A  = 3.26497	CLsb = 0.05270	CLb  = 0.57446	CLs  = 0.09174
+At r = 1.030657:	q_mu = 5.67839	q_A  = 6.59770	CLsb = 0.00859	CLb  = 0.57364	CLs  = 0.01497
+At r = 0.861932:	q_mu = 4.02342	q_A  = 4.80823	CLsb = 0.02244	CLb  = 0.57414	CLs  = 0.03908
+At r = 0.789208:	q_mu = 3.38676	q_A  = 4.11139	CLsb = 0.03286	CLb  = 0.57430	CLs  = 0.05722
+At r = 0.824329:	q_mu = 3.68821	q_A  = 4.44207	CLsb = 0.02740	CLb  = 0.57423	CLs  = 0.04771
+At r = 0.810068:	q_mu = 3.56444	q_A  = 4.30647	CLsb = 0.02951	CLb  = 0.57426	CLs  = 0.05140
+At r = 0.817147:	q_mu = 3.62565	q_A  = 4.37356	CLsb = 0.02845	CLb  = 0.57424	CLs  = 0.04954
+At r = 0.814307:	q_mu = 3.60103	q_A  = 4.34658	CLsb = 0.02887	CLb  = 0.57425	CLs  = 0.05028
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8143
+Expected  2.5%: r < 0.3784
+Expected 16.0%: r < 0.5259
+Expected 50.0%: r < 0.7598
+Expected 84.0%: r < 1.1020
+Expected 97.5%: r < 1.5315
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt
new file mode 100644
index 0000000..8b10f2a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_280.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_280.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            216.742333   15384.000000   216.742333 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068517    -    -  
+JER      lnN     1.017390    -    -  
+JEC      lnN     1.008658    -    -  
+trigger      lnN     1.072250    -    -  
+PDF      lnN     1.014709    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.091467 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt
new file mode 100644
index 0000000..facba26
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_280.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_280.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            216.742333   21478.000000   216.742333 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068145    -    -  
+JER      lnN     1.014921    -    -  
+JEC      lnN     1.010594    -    -  
+trigger      lnN     1.078395    -    -  
+PDF      lnN     1.014981    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.013749 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ec7bf2d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-eYxONe.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.000
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.189037  -0.189037/+0.41497  (68% CL)
+nll S+B -> -0.136597  nll B -> -0.0304309
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..28847f0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.767578
+Sigma  for expected limits: 0.391629
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -2.58834 (r = 0.188998)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -12.9769 (r = 3.76e-07)
+At r = 1.388998:	q_mu = 7.35806	q_A  = 10.96599	CLsb = 0.00334	CLb  = 0.72539	CLs  = 0.00460
+At r = 0.788998:	q_mu = 2.03048	q_A  = 4.04634	CLsb = 0.07709	CLb  = 0.72126	CLs  = 0.10688
+At r = 1.088998:	q_mu = 4.41094	q_A  = 7.17140	CLsb = 0.01785	CLb  = 0.71827	CLs  = 0.02486
+At r = 0.913999:	q_mu = 2.92396	q_A  = 5.25823	CLsb = 0.04364	CLb  = 0.72010	CLs  = 0.06060
+At r = 0.979202:	q_mu = 3.44696	q_A  = 5.94272	CLsb = 0.03168	CLb  = 0.71944	CLs  = 0.04404
+At r = 0.945419:	q_mu = 3.17124	q_A  = 5.58373	CLsb = 0.03747	CLb  = 0.71978	CLs  = 0.05206
+At r = 0.958701:	q_mu = 3.27844	q_A  = 5.72377	CLsb = 0.03510	CLb  = 0.71965	CLs  = 0.04877
+At r = 0.951993:	q_mu = 3.22411	q_A  = 5.65287	CLsb = 0.03628	CLb  = 0.71972	CLs  = 0.05041
+At r = 0.954660:	q_mu = 3.24566	q_A  = 5.68101	CLsb = 0.03581	CLb  = 0.71969	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.9547
+Expected  2.5%: r < 0.3823
+Expected 16.0%: r < 0.5313
+Expected 50.0%: r < 0.7676
+Expected 84.0%: r < 1.1072
+Expected 97.5%: r < 1.5433
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt
new file mode 100644
index 0000000..f9d8e74
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_285.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_285.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            231.272000   15384.000000   231.272000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068371    -    -  
+JER      lnN     1.015919    -    -  
+JEC      lnN     1.007872    -    -  
+trigger      lnN     1.073612    -    -  
+PDF      lnN     1.014909    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.086184 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt
new file mode 100644
index 0000000..cd8e027
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_285.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_285.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            231.272000   21478.000000   231.272000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068010    -    -  
+JER      lnN     1.013487    -    -  
+JEC      lnN     1.009770    -    -  
+trigger      lnN     1.079550    -    -  
+PDF      lnN     1.015169    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.019901 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..1efed11
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-kImubq.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.187178  -0.187178/+0.346594  (68% CL)
+nll S+B -> -0.16925  nll B -> -0.0188187
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..273f69b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.662109
+Sigma  for expected limits: 0.337817
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -6.19863 (r = 0.187474)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -17.4402 (r = 3.94981e-08)
+At r = 1.387474:	q_mu = 10.32627	q_A  = 14.38328	CLsb = 0.00066	CLb  = 0.71873	CLs  = 0.00091
+At r = 0.787474:	q_mu = 2.86660	q_A  = 5.28113	CLsb = 0.04522	CLb  = 0.72740	CLs  = 0.06216
+At r = 1.087474:	q_mu = 6.13869	q_A  = 9.42394	CLsb = 0.00661	CLb  = 0.72314	CLs  = 0.00914
+At r = 0.937474:	q_mu = 4.37368	q_A  = 7.23627	CLsb = 0.01825	CLb  = 0.72531	CLs  = 0.02516
+At r = 0.846363:	q_mu = 3.42559	q_A  = 6.01905	CLsb = 0.03210	CLb  = 0.72659	CLs  = 0.04417
+At r = 0.817502:	q_mu = 3.14619	q_A  = 5.65245	CLsb = 0.03805	CLb  = 0.72699	CLs  = 0.05234
+At r = 0.829504:	q_mu = 3.26112	q_A  = 5.80376	CLsb = 0.03547	CLb  = 0.72683	CLs  = 0.04880
+At r = 0.823778:	q_mu = 3.20606	q_A  = 5.73136	CLsb = 0.03668	CLb  = 0.72690	CLs  = 0.05046
+At r = 0.826187:	q_mu = 3.22918	q_A  = 5.76178	CLsb = 0.03617	CLb  = 0.72687	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8262
+Expected  2.5%: r < 0.3401
+Expected 16.0%: r < 0.4646
+Expected 50.0%: r < 0.6621
+Expected 84.0%: r < 0.9498
+Expected 97.5%: r < 1.3112
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/datacard_290_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/datacard_290_gaus_exp_250_330.txt
new file mode 100644
index 0000000..9f4fbb6
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/datacard_290_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_290.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_290.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            245.801667   15384.000000   245.801667 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.068150    -    -  
+JER      lnN     1.014111    -    -  
+JEC      lnN     1.007512    -    -  
+trigger      lnN     1.076281    -    -  
+PDF      lnN     1.015175    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.076416 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..e1aa816
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-HXeloH.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.44987  -0.370717/+0.382873  (68% CL)
+nll S+B -> -0.73295  nll B -> -0.00351837
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..9045391
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.245821 (0.012291 times rMax), while it should be at zero
+Median for expected limits: 1.01172
+Sigma  for expected limits: 0.516193
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -15.3678 (r = 0.449863)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -17.7081 (r = 0.246236)
+At r = 1.649863:	q_mu = 8.49510	q_A  = 11.64275	CLsb = 0.00178	CLb  = 0.69059	CLs  = 0.00258
+At r = 1.049863:	q_mu = 2.35366	q_A  = 4.22174	CLsb = 0.06249	CLb  = 0.69865	CLs  = 0.08945
+At r = 1.349863:	q_mu = 5.04161	q_A  = 7.58638	CLsb = 0.01237	CLb  = 0.69462	CLs  = 0.01781
+At r = 1.196367:	q_mu = 3.55943	q_A  = 5.76752	CLsb = 0.02960	CLb  = 0.69670	CLs  = 0.04249
+At r = 1.141447:	q_mu = 3.08233	q_A  = 5.16511	CLsb = 0.03957	CLb  = 0.69743	CLs  = 0.05674
+At r = 1.171647:	q_mu = 3.34106	q_A  = 5.49333	CLsb = 0.03379	CLb  = 0.69705	CLs  = 0.04847
+At r = 1.160840:	q_mu = 3.24749	q_A  = 5.37487	CLsb = 0.03577	CLb  = 0.69718	CLs  = 0.05130
+At r = 1.166915:	q_mu = 3.29993	q_A  = 5.44130	CLsb = 0.03464	CLb  = 0.69710	CLs  = 0.04969
+
+ -- Asymptotic -- 
+Observed Limit: r < 1.1669
+Expected  2.5%: r < 0.6501
+Expected 16.0%: r < 0.7885
+Expected 50.0%: r < 1.0117
+Expected 84.0%: r < 1.3384
+Expected 97.5%: r < 1.7525
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/datacard_290_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/datacard_290_novo_285_625.txt
new file mode 100644
index 0000000..b7b1128
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/datacard_290_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_290.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_290.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            245.801667   21478.000000   245.801667 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067881    -    -  
+JER      lnN     1.012256    -    -  
+JEC      lnN     1.008952    -    -  
+trigger      lnN     1.080691    -    -  
+PDF      lnN     1.015367    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.025186 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..f5c4b9c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-893jCd.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.132093  -0.132093/+0.331057  (68% CL)
+nll S+B -> -0.103062  nll B -> -0.0217605
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0350775
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.634766
+Sigma  for expected limits: 0.323866
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -8.84584 (r = 0.131915)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -19.6726 (r = 2.61659e-06)
+At r = 1.331915:	q_mu = 11.21539	q_A  = 14.39851	CLsb = 0.00041	CLb  = 0.67206	CLs  = 0.00060
+At r = 0.731915:	q_mu = 3.12763	q_A  = 4.98601	CLsb = 0.03849	CLb  = 0.67883	CLs  = 0.05670
+At r = 1.031915:	q_mu = 6.68558	q_A  = 9.24710	CLsb = 0.00486	CLb  = 0.67554	CLs  = 0.00719
+At r = 0.881915:	q_mu = 4.76841	q_A  = 6.98880	CLsb = 0.01449	CLb  = 0.67723	CLs  = 0.02140
+At r = 0.777397:	q_mu = 3.59386	q_A  = 5.56421	CLsb = 0.02900	CLb  = 0.67836	CLs  = 0.04275
+At r = 0.757204:	q_mu = 3.38339	q_A  = 5.30426	CLsb = 0.03293	CLb  = 0.67857	CLs  = 0.04853
+At r = 0.748256:	q_mu = 3.29190	q_A  = 5.19072	CLsb = 0.03481	CLb  = 0.67866	CLs  = 0.05129
+At r = 0.753343:	q_mu = 3.34378	q_A  = 5.25514	CLsb = 0.03373	CLb  = 0.67861	CLs  = 0.04970
+At r = 0.751559:	q_mu = 3.32554	q_A  = 5.23251	CLsb = 0.03411	CLb  = 0.67863	CLs  = 0.05026
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.7516
+Expected  2.5%: r < 0.3261
+Expected 16.0%: r < 0.4454
+Expected 50.0%: r < 0.6348
+Expected 84.0%: r < 0.9106
+Expected 97.5%: r < 1.2571
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/datacard_295_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/datacard_295_gaus_exp_250_330.txt
new file mode 100644
index 0000000..d660c8f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/datacard_295_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_295.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_295.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            260.331333   15384.000000   260.331333 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067892    -    -  
+JER      lnN     1.012265    -    -  
+JEC      lnN     1.007396    -    -  
+trigger      lnN     1.079600    -    -  
+PDF      lnN     1.015481    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.064306 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..3a86fc9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-0sIVSG.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.102276  -0.102276/+0.374638  (68% CL)
+nll S+B -> -0.0382524  nll B -> -0.000381767
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2ee49e0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.111784 (0.005589 times rMax), while it should be at zero
+Median for expected limits: 0.863281
+Sigma  for expected limits: 0.440458
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -19.4435 (r = 0.102152)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -19.44 (r = 0.111726)
+At r = 1.302152:	q_mu = 9.07614	q_A  = 8.94814	CLsb = 0.00129	CLb  = 0.49146	CLs  = 0.00263
+At r = 0.702152:	q_mu = 2.47630	q_A  = 2.40327	CLsb = 0.05777	CLb  = 0.49060	CLs  = 0.11775
+At r = 1.002152:	q_mu = 5.35251	q_A  = 5.24986	CLsb = 0.01034	CLb  = 0.49106	CLs  = 0.02106
+At r = 0.881594:	q_mu = 4.08405	q_A  = 3.99275	CLsb = 0.02164	CLb  = 0.49089	CLs  = 0.04408
+At r = 0.827293:	q_mu = 3.56072	q_A  = 3.47477	CLsb = 0.02957	CLb  = 0.49080	CLs  = 0.06025
+At r = 0.853217:	q_mu = 3.80690	q_A  = 3.71837	CLsb = 0.02551	CLb  = 0.49084	CLs  = 0.05198
+At r = 0.864236:	q_mu = 3.91340	q_A  = 3.82379	CLsb = 0.02394	CLb  = 0.49086	CLs  = 0.04878
+At r = 0.858601:	q_mu = 3.85869	q_A  = 3.76964	CLsb = 0.02474	CLb  = 0.49085	CLs  = 0.05040
+At r = 0.860818:	q_mu = 3.88017	q_A  = 3.79090	CLsb = 0.02442	CLb  = 0.49086	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8608
+Expected  2.5%: r < 0.5126
+Expected 16.0%: r < 0.6468
+Expected 50.0%: r < 0.8633
+Expected 84.0%: r < 1.1833
+Expected 97.5%: r < 1.5832
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/datacard_295_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/datacard_295_novo_285_625.txt
new file mode 100644
index 0000000..1e87a3f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/datacard_295_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_295.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_295.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            260.331333   21478.000000   260.331333 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067757    -    -  
+JER      lnN     1.011298    -    -  
+JEC      lnN     1.008142    -    -  
+trigger      lnN     1.081814    -    -  
+PDF      lnN     1.015576    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.029315 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..a7f69f9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-a3aY7Y.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.09952e-07  -1.09952e-07/+0.306157  (68% CL)
+nll S+B -> -0.0184476  nll B -> -0.0184476
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b723a09
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.630859
+Sigma  for expected limits: 0.321873
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -12.6307 (r = 1.27551e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -20.8714 (r = 1.04983e-07)
+At r = 9.410069:	q_mu = 192.47908	q_A  = 192.65150	CLsb = 0.00000	CLb  = 0.50248	CLs  = 0.00000
+At r = 4.705041:	q_mu = 92.39414	q_A  = 92.03090	CLsb = 0.00000	CLb  = 0.49245	CLs  = 0.00000
+At r = 2.352527:	q_mu = 36.70961	q_A  = 36.51249	CLsb = 0.00000	CLb  = 0.49349	CLs  = 0.00000
+At r = 1.176270:	q_mu = 11.92018	q_A  = 11.87942	CLsb = 0.00028	CLb  = 0.49764	CLs  = 0.00056
+At r = 0.588141:	q_mu = 3.38696	q_A  = 3.36206	CLsb = 0.03286	CLb  = 0.49729	CLs  = 0.06607
+At r = 0.882206:	q_mu = 7.15155	q_A  = 7.11776	CLsb = 0.00374	CLb  = 0.49747	CLs  = 0.00753
+At r = 0.735173:	q_mu = 5.12581	q_A  = 5.09621	CLsb = 0.01179	CLb  = 0.49738	CLs  = 0.02370
+At r = 0.649517:	q_mu = 4.07554	q_A  = 4.04861	CLsb = 0.02175	CLb  = 0.49733	CLs  = 0.04374
+At r = 0.621320:	q_mu = 3.75235	q_A  = 3.72634	CLsb = 0.02637	CLb  = 0.49731	CLs  = 0.05302
+At r = 0.633831:	q_mu = 3.89433	q_A  = 3.86792	CLsb = 0.02422	CLb  = 0.49732	CLs  = 0.04871
+At r = 0.628239:	q_mu = 3.83059	q_A  = 3.80436	CLsb = 0.02516	CLb  = 0.49732	CLs  = 0.05060
+At r = 0.630751:	q_mu = 3.85917	q_A  = 3.83285	CLsb = 0.02474	CLb  = 0.49732	CLs  = 0.04974
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.6308
+Expected  2.5%: r < 0.3314
+Expected 16.0%: r < 0.4472
+Expected 50.0%: r < 0.6309
+Expected 84.0%: r < 0.8999
+Expected 97.5%: r < 1.2460
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt
new file mode 100644
index 0000000..9135e4f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_300.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  274.861 15384	274.861
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06764    -	-
+JER       lnN     1.01068   - 	-
+JEC       lnN     1.00734   -	-
+trigger   lnN     1.0829156197   -   -
+PDF       lnN     1.01580080477   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.052
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..1b80bd6
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-QawHyb.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.02104e-08  -2.02104e-08/+0.242066  (68% CL)
+nll S+B -> -0.000739163  nll B -> -0.000739182
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1ac7530
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.035630 (0.001782 times rMax), while it should be at zero
+Median for expected limits: 0.742188
+Sigma  for expected limits: 0.378674
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -24.0533 (r = 9.77444e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -21.5981 (r = 0.035511)
+At r = 1.368222:	q_mu = 15.47843	q_A  = 12.30575	CLsb = 0.00004	CLb  = 0.32556	CLs  = 0.00012
+At r = 0.684111:	q_mu = 5.01714	q_A  = 3.26236	CLsb = 0.01095	CLb  = 0.31357	CLs  = 0.03493
+At r = 0.342056:	q_mu = 1.66225	q_A  = 0.75672	CLsb = 0.08221	CLb  = 0.30137	CLs  = 0.27278
+At r = 0.513083:	q_mu = 3.14697	q_A  = 1.80620	CLsb = 0.03268	CLb  = 0.30896	CLs  = 0.10578
+At r = 0.605622:	q_mu = 4.11377	q_A  = 2.54617	CLsb = 0.01845	CLb  = 0.31164	CLs  = 0.05920
+At r = 0.641427:	q_mu = 4.51667	q_A  = 2.86328	CLsb = 0.01460	CLb  = 0.31258	CLs  = 0.04672
+At r = 0.626058:	q_mu = 4.34185	q_A  = 2.72506	CLsb = 0.01616	CLb  = 0.31217	CLs  = 0.05176
+At r = 0.633283:	q_mu = 4.42367	q_A  = 2.78963	CLsb = 0.01541	CLb  = 0.31236	CLs  = 0.04933
+At r = 0.630224:	q_mu = 4.38894	q_A  = 2.76220	CLsb = 0.01572	CLb  = 0.31228	CLs  = 0.05035
+At r = 0.631671:	q_mu = 4.40536	q_A  = 2.77516	CLsb = 0.01557	CLb  = 0.31232	CLs  = 0.04987
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.6317
+Expected  2.5%: r < 0.4102
+Expected 16.0%: r < 0.5373
+Expected 50.0%: r < 0.7422
+Expected 84.0%: r < 1.0410
+Expected 97.5%: r < 1.4162
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/datacard_300_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/datacard_300_novo_285_625.txt
new file mode 100644
index 0000000..ca5dad1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/datacard_300_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_300.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  274.861 21478	274.861
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06764    -	-
+JER       lnN     1.01068   - 	-
+JEC       lnN     1.00734   -	-
+trigger   lnN     1.0829156197   -   -
+PDF       lnN     1.01580080477   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.032
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..11f1cf0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-I0YyFn.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.09112e-07  -1.09112e-07/+0.212911  (68% CL)
+nll S+B -> -0.036277  nll B -> -0.036277
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..414df0f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.580078
+Sigma  for expected limits: 0.295964
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -26.2623 (r = 2.30515e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -32.8506 (r = 1.23577e-05)
+At r = 1.201614:	q_mu = 17.03244	q_A  = 14.68663	CLsb = 0.00002	CLb  = 0.37978	CLs  = 0.00005
+At r = 0.600807:	q_mu = 5.42239	q_A  = 4.11668	CLsb = 0.00937	CLb  = 0.37381	CLs  = 0.02506
+At r = 0.300404:	q_mu = 1.71126	q_A  = 1.03408	CLsb = 0.08853	CLb  = 0.36958	CLs  = 0.23954
+At r = 0.450605:	q_mu = 3.34348	q_A  = 2.34388	CLsb = 0.03162	CLb  = 0.37204	CLs  = 0.08500
+At r = 0.532855:	q_mu = 4.43041	q_A  = 3.26098	CLsb = 0.01660	CLb  = 0.37305	CLs  = 0.04450
+At r = 0.504563:	q_mu = 4.04202	q_A  = 2.93043	CLsb = 0.02085	CLb  = 0.37271	CLs  = 0.05594
+At r = 0.521328:	q_mu = 4.27037	q_A  = 3.12444	CLsb = 0.01823	CLb  = 0.37291	CLs  = 0.04889
+At r = 0.515732:	q_mu = 4.19356	q_A  = 3.05907	CLsb = 0.01907	CLb  = 0.37285	CLs  = 0.05115
+At r = 0.517978:	q_mu = 4.22432	q_A  = 3.08523	CLsb = 0.01873	CLb  = 0.37287	CLs  = 0.05023
+At r = 0.519100:	q_mu = 4.23972	q_A  = 3.09834	CLsb = 0.01856	CLb  = 0.37289	CLs  = 0.04978
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5191
+Expected  2.5%: r < 0.3138
+Expected 16.0%: r < 0.4168
+Expected 50.0%: r < 0.5801
+Expected 84.0%: r < 0.8182
+Expected 97.5%: r < 1.1248
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/datacard_310_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/datacard_310_gaus_exp_250_330.txt
new file mode 100644
index 0000000..874f2d2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/datacard_310_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_310.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_310.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            311.649000   15384.000000   311.649000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067251    -    -  
+JER      lnN     1.009014    -    -  
+JEC      lnN     1.006932    -    -  
+trigger      lnN     1.087877    -    -  
+PDF      lnN     1.016409    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.032254 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ac6dd76
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-lLSKtf.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 9.1324e-10  -9.1324e-10/+0.100971  (68% CL)
+nll S+B -> -0.0100567  nll B -> -0.0100567
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ff5ab3b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.587891
+Sigma  for expected limits: 0.29995
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -37.736 (r = 1.43291e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -29.227 (r = 0.0161568)
+At r = 1.200000:	q_mu = 23.36431	q_A  = 14.38713	CLsb = 0.00000	CLb  = 0.11833	CLs  = 0.00000
+At r = 0.600000:	q_mu = 9.02474	q_A  = 3.98638	CLsb = 0.00056	CLb  = 0.10352	CLs  = 0.00541
+At r = 0.300000:	q_mu = 3.61578	q_A  = 0.98556	CLsb = 0.01024	CLb  = 0.09263	CLs  = 0.11053
+At r = 0.450000:	q_mu = 6.12596	q_A  = 2.25680	CLsb = 0.00264	CLb  = 0.09891	CLs  = 0.02664
+At r = 0.366904:	q_mu = 4.68341	q_A  = 1.49255	CLsb = 0.00574	CLb  = 0.09579	CLs  = 0.05994
+At r = 0.398391:	q_mu = 5.21541	q_A  = 1.76509	CLsb = 0.00431	CLb  = 0.09706	CLs  = 0.04437
+At r = 0.382088:	q_mu = 4.93763	q_A  = 1.62130	CLsb = 0.00500	CLb  = 0.09641	CLs  = 0.05190
+At r = 0.388450:	q_mu = 5.04544	q_A  = 1.67672	CLsb = 0.00472	CLb  = 0.09667	CLs  = 0.04883
+At r = 0.385203:	q_mu = 4.99032	q_A  = 1.64833	CLsb = 0.00486	CLb  = 0.09654	CLs  = 0.05038
+At r = 0.386478:	q_mu = 5.01194	q_A  = 1.65945	CLsb = 0.00481	CLb  = 0.09659	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.3865
+Expected  2.5%: r < 0.3204
+Expected 16.0%: r < 0.4228
+Expected 50.0%: r < 0.5879
+Expected 84.0%: r < 0.8293
+Expected 97.5%: r < 1.1400
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/datacard_310_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/datacard_310_novo_285_625.txt
new file mode 100644
index 0000000..7d76bb2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/datacard_310_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_310.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_310.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            311.649000   21478.000000   311.649000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067431    -    -  
+JER      lnN     1.010557    -    -  
+JEC      lnN     1.005788    -    -  
+trigger      lnN     1.085035    -    -  
+PDF      lnN     1.016298    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.032601 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..c246665
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-o5BviE.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.69119e-10  -1.69119e-10/+0.113803  (68% CL)
+nll S+B -> -0.0277482  nll B -> -0.0277482
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..425b948
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.096329 (0.004816 times rMax), while it should be at zero
+Median for expected limits: 0.607422
+Sigma  for expected limits: 0.309915
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -45.7327 (r = 2.45878e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -46.0935 (r = 0.0963707)
+At r = 1.200000:	q_mu = 24.70663	q_A  = 15.20701	CLsb = 0.00000	CLb  = 0.11161	CLs  = 0.00000
+At r = 0.600000:	q_mu = 9.10965	q_A  = 3.71334	CLsb = 0.00044	CLb  = 0.08073	CLs  = 0.00543
+At r = 0.300000:	q_mu = 3.41803	q_A  = 0.64220	CLsb = 0.00565	CLb  = 0.04164	CLs  = 0.13567
+At r = 0.450000:	q_mu = 6.02196	q_A  = 1.88875	CLsb = 0.00200	CLb  = 0.06633	CLs  = 0.03017
+At r = 0.379669:	q_mu = 4.73540	q_A  = 1.22756	CLsb = 0.00356	CLb  = 0.05671	CLs  = 0.06282
+At r = 0.411238:	q_mu = 5.29915	q_A  = 1.50809	CLsb = 0.00279	CLb  = 0.06135	CLs  = 0.04546
+At r = 0.397495:	q_mu = 5.05092	q_A  = 1.38266	CLsb = 0.00311	CLb  = 0.05940	CLs  = 0.05240
+At r = 0.403873:	q_mu = 5.16558	q_A  = 1.44024	CLsb = 0.00296	CLb  = 0.06032	CLs  = 0.04907
+At r = 0.401137:	q_mu = 5.11628	q_A  = 1.41541	CLsb = 0.00302	CLb  = 0.05993	CLs  = 0.05047
+At r = 0.402415:	q_mu = 5.13929	q_A  = 1.42698	CLsb = 0.00299	CLb  = 0.06011	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.4024
+Expected  2.5%: r < 0.3690
+Expected 16.0%: r < 0.4602
+Expected 50.0%: r < 0.6074
+Expected 84.0%: r < 0.8278
+Expected 97.5%: r < 1.1025
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/datacard_320_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/datacard_320_gaus_exp_250_330.txt
new file mode 100644
index 0000000..cbbd5f9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/datacard_320_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_320.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_320.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            348.437000   15384.000000   348.437000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067007    -    -  
+JER      lnN     1.009139    -    -  
+JEC      lnN     1.006127    -    -  
+trigger      lnN     1.090731    -    -  
+PDF      lnN     1.016974    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.018739 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..3105f08
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-Eckg5p.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0  -0/+0.0434158  (68% CL)
+nll S+B -> -0.0497511  nll B -> -0.0497507
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..121700f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.494141
+Sigma  for expected limits: 0.252117
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -58.2794 (r = 1.04048e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -37.344 (r = 0.0105995)
+At r = 1.200000:	q_mu = 39.76224	q_A  = 19.07139	CLsb = 0.00000	CLb  = 0.00892	CLs  = 0.00000
+At r = 0.600000:	q_mu = 17.59875	q_A  = 5.53509	CLsb = 0.00000	CLb  = 0.00518	CLs  = 0.00009
+At r = 0.300000:	q_mu = 7.86888	q_A  = 1.42036	CLsb = 0.00005	CLb  = 0.00341	CLs  = 0.01426
+At r = 0.150000:	q_mu = 3.64541	q_A  = 0.33705	CLsb = 0.00030	CLb  = 0.00219	CLs  = 0.13783
+At r = 0.225000:	q_mu = 5.69216	q_A  = 0.78888	CLsb = 0.00013	CLb  = 0.00289	CLs  = 0.04568
+At r = 0.205091:	q_mu = 5.13557	q_A  = 0.65107	CLsb = 0.00017	CLb  = 0.00273	CLs  = 0.06161
+At r = 0.216208:	q_mu = 5.44522	q_A  = 0.72644	CLsb = 0.00015	CLb  = 0.00282	CLs  = 0.05216
+At r = 0.220210:	q_mu = 5.55738	q_A  = 0.75455	CLsb = 0.00014	CLb  = 0.00285	CLs  = 0.04911
+At r = 0.218455:	q_mu = 5.50816	q_A  = 0.74216	CLsb = 0.00014	CLb  = 0.00284	CLs  = 0.05043
+At r = 0.219256:	q_mu = 5.53062	q_A  = 0.74780	CLsb = 0.00014	CLb  = 0.00284	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2193
+Expected  2.5%: r < 0.2673
+Expected 16.0%: r < 0.3550
+Expected 50.0%: r < 0.4941
+Expected 84.0%: r < 0.7010
+Expected 97.5%: r < 0.9609
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/datacard_320_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/datacard_320_novo_285_625.txt
new file mode 100644
index 0000000..9f74d64
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/datacard_320_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_320.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_320.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            348.437000   21478.000000   348.437000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067248    -    -  
+JER      lnN     1.011536    -    -  
+JEC      lnN     1.004396    -    -  
+trigger      lnN     1.087022    -    -  
+PDF      lnN     1.016843    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.028284 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..b7ebe9f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-fukyG6.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.66533e-16  -1.66533e-16/+0.0278631  (68% CL)
+nll S+B -> -0.0687204  nll B -> -0.0687196
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ac1903d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.419922
+Sigma  for expected limits: 0.21425
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -79.8452 (r = 2.47933e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -47.5701 (r = 0.00601811)
+At r = 1.200000:	q_mu = 54.62698	q_A  = 24.55742	CLsb = 0.00000	CLb  = 0.00121	CLs  = 0.00000
+At r = 0.600000:	q_mu = 25.59468	q_A  = 7.46459	CLsb = 0.00000	CLb  = 0.00045	CLs  = 0.00000
+At r = 0.300000:	q_mu = 11.89230	q_A  = 1.98118	CLsb = 0.00000	CLb  = 0.00022	CLs  = 0.00193
+At r = 0.150000:	q_mu = 5.63088	q_A  = 0.48831	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.05118
+At r = 0.225000:	q_mu = 8.69550	q_A  = 1.11574	CLsb = 0.00000	CLb  = 0.00017	CLs  = 0.01024
+At r = 0.187500:	q_mu = 7.14499	q_A  = 0.77141	CLsb = 0.00000	CLb  = 0.00014	CLs  = 0.02309
+At r = 0.158379:	q_mu = 5.96593	q_A  = 0.54613	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04291
+At r = 0.152563:	q_mu = 5.73316	q_A  = 0.50567	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04850
+At r = 0.151401:	q_mu = 5.68677	q_A  = 0.49777	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04970
+At r = 0.150889:	q_mu = 5.66633	q_A  = 0.49430	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1509
+Expected  2.5%: r < 0.2272
+Expected 16.0%: r < 0.3017
+Expected 50.0%: r < 0.4199
+Expected 84.0%: r < 0.5990
+Expected 97.5%: r < 0.8188
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/datacard_330_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/datacard_330_novo_285_625.txt
new file mode 100644
index 0000000..bc5ce8c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/datacard_330_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_330.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_330.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            385.225000   21478.000000   385.225000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067084    -    -  
+JER      lnN     1.013087    -    -  
+JEC      lnN     1.003277    -    -  
+trigger      lnN     1.088849    -    -  
+PDF      lnN     1.017410    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.021067 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..f91f7c5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-NOFIHa.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.75533e-11  -4.75533e-11/+0.0311762  (68% CL)
+nll S+B -> -0.0202984  nll B -> -0.0202981
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..9beb90e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.364258
+Sigma  for expected limits: 0.185849
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -87.8895 (r = 5.91378e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -59.449 (r = 0.00330012)
+At r = 1.200000:	q_mu = 55.85633	q_A  = 30.40871	CLsb = 0.00000	CLb  = 0.01052	CLs  = 0.00000
+At r = 0.600000:	q_mu = 25.34046	q_A  = 9.64979	CLsb = 0.00000	CLb  = 0.00578	CLs  = 0.00000
+At r = 0.300000:	q_mu = 11.32796	q_A  = 2.63856	CLsb = 0.00001	CLb  = 0.00374	CLs  = 0.00229
+At r = 0.150000:	q_mu = 5.19721	q_A  = 0.66798	CLsb = 0.00017	CLb  = 0.00280	CLs  = 0.05957
+At r = 0.225000:	q_mu = 8.16398	q_A  = 1.50162	CLsb = 0.00004	CLb  = 0.00328	CLs  = 0.01223
+At r = 0.187500:	q_mu = 6.65374	q_A  = 1.04527	CLsb = 0.00008	CLb  = 0.00305	CLs  = 0.02732
+At r = 0.164237:	q_mu = 5.74371	q_A  = 0.80189	CLsb = 0.00013	CLb  = 0.00290	CLs  = 0.04444
+At r = 0.156804:	q_mu = 5.45753	q_A  = 0.73071	CLsb = 0.00015	CLb  = 0.00285	CLs  = 0.05180
+At r = 0.159662:	q_mu = 5.56727	q_A  = 0.75767	CLsb = 0.00014	CLb  = 0.00287	CLs  = 0.04884
+At r = 0.158179:	q_mu = 5.51024	q_A  = 0.74339	CLsb = 0.00014	CLb  = 0.00285	CLs  = 0.05036
+At r = 0.158753:	q_mu = 5.53229	q_A  = 0.74882	CLsb = 0.00014	CLb  = 0.00286	CLs  = 0.04977
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1588
+Expected  2.5%: r < 0.1956
+Expected 16.0%: r < 0.2609
+Expected 50.0%: r < 0.3643
+Expected 84.0%: r < 0.5196
+Expected 97.5%: r < 0.7149
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/datacard_340_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/datacard_340_novo_285_625.txt
new file mode 100644
index 0000000..748334a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/datacard_340_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_340.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_340.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            422.013000   21478.000000   422.013000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066931    -    -  
+JER      lnN     1.014678    -    -  
+JEC      lnN     1.002547    -    -  
+trigger      lnN     1.090488    -    -  
+PDF      lnN     1.017975    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.012967 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt
new file mode 100644
index 0000000..3d76d98
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_350.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:f_gaus_exp
+shapes data_obs   HbbHbb w_background_gaus_exp_250_330.root      HbbHbb:data_obs_gaus_exp_250_330
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  458.801 15384	458.801
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06678    -	-
+JER       lnN     1.01578   - 	-
+JEC       lnN     1.00232   -	-
+trigger   lnN     1.0919145030   -   -
+PDF       lnN     1.01851212214   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 
+par_gaus_exp_0   param   266.499 0.453027
+par_gaus_exp_1   param   11.9408 0.531579
+par_gaus_exp_2   param   0.13851 0.00812008
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..672cafd
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-C8dITT.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.000
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 8.80129e-13  -8.80129e-13/+0.0511586  (68% CL)
+nll S+B -> -0.00150495  nll B -> -0.00150466
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d682416
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.321289
+Sigma  for expected limits: 0.163926
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -89.6741 (r = 1.01015e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -73.1303 (r = 0.00149266)
+At r = 1.200000:	q_mu = 50.49185	q_A  = 36.36571	CLsb = 0.00000	CLb  = 0.12075	CLs  = 0.00000
+At r = 0.600000:	q_mu = 20.83083	q_A  = 11.99770	CLsb = 0.00000	CLb  = 0.10114	CLs  = 0.00001
+At r = 0.300000:	q_mu = 8.29081	q_A  = 3.36908	CLsb = 0.00075	CLb  = 0.09001	CLs  = 0.00829
+At r = 0.150000:	q_mu = 3.43370	q_A  = 0.86969	CLsb = 0.01052	CLb  = 0.08461	CLs  = 0.12433
+At r = 0.225000:	q_mu = 5.70771	q_A  = 1.93320	CLsb = 0.00300	CLb  = 0.08733	CLs  = 0.03435
+At r = 0.192493:	q_mu = 4.68132	q_A  = 1.42418	CLsb = 0.00526	CLb  = 0.08618	CLs  = 0.06107
+At r = 0.208035:	q_mu = 5.16474	q_A  = 1.65879	CLsb = 0.00404	CLb  = 0.08675	CLs  = 0.04653
+At r = 0.201639:	q_mu = 4.96406	q_A  = 1.56018	CLsb = 0.00451	CLb  = 0.08651	CLs  = 0.05208
+At r = 0.204770:	q_mu = 5.06198	q_A  = 1.60808	CLsb = 0.00427	CLb  = 0.08662	CLs  = 0.04929
+At r = 0.203496:	q_mu = 5.02205	q_A  = 1.58850	CLsb = 0.00436	CLb  = 0.08658	CLs  = 0.05041
+At r = 0.204123:	q_mu = 5.04168	q_A  = 1.59812	CLsb = 0.00432	CLb  = 0.08660	CLs  = 0.04986
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2041
+Expected  2.5%: r < 0.1713
+Expected 16.0%: r < 0.2293
+Expected 50.0%: r < 0.3213
+Expected 84.0%: r < 0.4583
+Expected 97.5%: r < 0.6305
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt
new file mode 100644
index 0000000..4be6f43
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_350.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  458.801 21478	458.801
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06678    -	-
+JER       lnN     1.01578   - 	-
+JEC       lnN     1.00232   -	-
+trigger   lnN     1.0919145030   -   -
+PDF       lnN     1.01851212214   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.006
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..6ff5ae6
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-2PLJF3.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 6.9721e-10  -6.9721e-10/+0.0671663  (68% CL)
+nll S+B -> -0.000191857  nll B -> -0.000191325
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..f4c31f8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.280273
+Sigma  for expected limits: 0.142999
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -102.644 (r = 3.80654e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -91.8739 (r = 0.000267643)
+At r = 1.200000:	q_mu = 52.36044	q_A  = 43.63679	CLsb = 0.00000	CLb  = 0.25453	CLs  = 0.00000
+At r = 0.600000:	q_mu = 20.59971	q_A  = 15.01402	CLsb = 0.00000	CLb  = 0.23552	CLs  = 0.00001
+At r = 0.300000:	q_mu = 7.50998	q_A  = 4.34457	CLsb = 0.00223	CLb  = 0.22383	CLs  = 0.00996
+At r = 0.150000:	q_mu = 2.80374	q_A  = 1.14346	CLsb = 0.03247	CLb  = 0.21878	CLs  = 0.14842
+At r = 0.225000:	q_mu = 4.95157	q_A  = 2.51474	CLsb = 0.00928	CLb  = 0.22115	CLs  = 0.04198
+At r = 0.201692:	q_mu = 4.23690	q_A  = 2.03653	CLsb = 0.01397	CLb  = 0.22037	CLs  = 0.06341
+At r = 0.212433:	q_mu = 4.56132	q_A  = 2.25143	CLsb = 0.01160	CLb  = 0.22073	CLs  = 0.05254
+At r = 0.217168:	q_mu = 4.70715	q_A  = 2.34901	CLsb = 0.01067	CLb  = 0.22086	CLs  = 0.04831
+At r = 0.214669:	q_mu = 4.62994	q_A  = 2.29720	CLsb = 0.01115	CLb  = 0.22078	CLs  = 0.05050
+At r = 0.215620:	q_mu = 4.65906	q_A  = 2.31685	CLsb = 0.01097	CLb  = 0.22083	CLs  = 0.04966
+At r = 0.215123:	q_mu = 4.64375	q_A  = 2.30657	CLsb = 0.01106	CLb  = 0.22081	CLs  = 0.05010
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2151
+Expected  2.5%: r < 0.1494
+Expected 16.0%: r < 0.2000
+Expected 50.0%: r < 0.2803
+Expected 84.0%: r < 0.3998
+Expected 97.5%: r < 0.5536
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt
new file mode 100644
index 0000000..b1dff8c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_360.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_360.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            493.845000   21478.000000   493.845000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066625    -    -  
+JER      lnN     1.016001    -    -  
+JEC      lnN     1.002656    -    -  
+trigger      lnN     1.093096    -    -  
+PDF      lnN     1.019000    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.001714 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..8ccf8f0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-51Xrs5.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.95394e-09  -2.95394e-09/+0.0563317  (68% CL)
+nll S+B -> -0.000142026  nll B -> -0.000142027
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..9e99848
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.249023
+Sigma  for expected limits: 0.127055
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -117.832 (r = 5.76617e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -112.761 (r = 0.000153911)
+At r = 1.200000:	q_mu = 60.97427	q_A  = 50.88470	CLsb = 0.00000	CLb  = 0.23972	CLs  = 0.00000
+At r = 0.600000:	q_mu = 24.77193	q_A  = 18.16292	CLsb = 0.00000	CLb  = 0.21906	CLs  = 0.00000
+At r = 0.300000:	q_mu = 9.22140	q_A  = 5.40243	CLsb = 0.00083	CLb  = 0.20567	CLs  = 0.00403
+At r = 0.150000:	q_mu = 3.46837	q_A  = 1.44512	CLsb = 0.02049	CLb  = 0.20003	CLs  = 0.10245
+At r = 0.225000:	q_mu = 6.10660	q_A  = 3.15117	CLsb = 0.00456	CLb  = 0.20258	CLs  = 0.02250
+At r = 0.193399:	q_mu = 4.93131	q_A  = 2.36062	CLsb = 0.00882	CLb  = 0.20142	CLs  = 0.04380
+At r = 0.179310:	q_mu = 4.43649	q_A  = 2.04116	CLsb = 0.01170	CLb  = 0.20093	CLs  = 0.05821
+At r = 0.185333:	q_mu = 4.64580	q_A  = 2.17525	CLsb = 0.01038	CLb  = 0.20114	CLs  = 0.05159
+At r = 0.188181:	q_mu = 4.74599	q_A  = 2.24002	CLsb = 0.00980	CLb  = 0.20124	CLs  = 0.04871
+At r = 0.186574:	q_mu = 4.68933	q_A  = 2.20334	CLsb = 0.01012	CLb  = 0.20119	CLs  = 0.05032
+At r = 0.187145:	q_mu = 4.70942	q_A  = 2.21633	CLsb = 0.01001	CLb  = 0.20121	CLs  = 0.04974
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1871
+Expected  2.5%: r < 0.1323
+Expected 16.0%: r < 0.1774
+Expected 50.0%: r < 0.2490
+Expected 84.0%: r < 0.3572
+Expected 97.5%: r < 0.4932
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt
new file mode 100644
index 0000000..1a56fbd
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_370.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_370.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            528.889000   21478.000000   528.889000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066464    -    -  
+JER      lnN     1.015508    -    -  
+JEC      lnN     1.003387    -    -  
+trigger      lnN     1.093984    -    -  
+PDF      lnN     1.019426    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.000219 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..93f7eda
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-KQMUaG.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.71198e-10  -1.71198e-10/+0.0456377  (68% CL)
+nll S+B -> -0.000141132  nll B -> -0.000141138
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..4e7979d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.22168
+Sigma  for expected limits: 0.113104
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -145.743 (r = 4.01762e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -138.591 (r = 2.89604e-06)
+At r = 1.200000:	q_mu = 70.83484	q_A  = 59.06539	CLsb = 0.00000	CLb  = 0.22193	CLs  = 0.00000
+At r = 0.600000:	q_mu = 29.83174	q_A  = 21.85826	CLsb = 0.00000	CLb  = 0.19691	CLs  = 0.00000
+At r = 0.300000:	q_mu = 11.44171	q_A  = 6.68948	CLsb = 0.00023	CLb  = 0.17913	CLs  = 0.00127
+At r = 0.150000:	q_mu = 4.38402	q_A  = 1.81799	CLsb = 0.01073	CLb  = 0.17066	CLs  = 0.06286
+At r = 0.225000:	q_mu = 7.64527	q_A  = 3.93267	CLsb = 0.00175	CLb  = 0.17462	CLs  = 0.01005
+At r = 0.187500:	q_mu = 5.93950	q_A  = 2.78696	CLsb = 0.00448	CLb  = 0.17253	CLs  = 0.02596
+At r = 0.165264:	q_mu = 4.99794	q_A  = 2.19005	CLsb = 0.00758	CLb  = 0.17139	CLs  = 0.04422
+At r = 0.157947:	q_mu = 4.70038	q_A  = 2.00791	CLsb = 0.00896	CLb  = 0.17104	CLs  = 0.05241
+At r = 0.161035:	q_mu = 4.82515	q_A  = 2.08386	CLsb = 0.00835	CLb  = 0.17119	CLs  = 0.04880
+At r = 0.159579:	q_mu = 4.76618	q_A  = 2.04788	CLsb = 0.00864	CLb  = 0.17112	CLs  = 0.05048
+At r = 0.160198:	q_mu = 4.79123	q_A  = 2.06314	CLsb = 0.00852	CLb  = 0.17115	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1602
+Expected  2.5%: r < 0.1173
+Expected 16.0%: r < 0.1577
+Expected 50.0%: r < 0.2217
+Expected 84.0%: r < 0.3180
+Expected 97.5%: r < 0.4390
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt
new file mode 100644
index 0000000..db36c29
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_380.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_380.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            563.933000   21478.000000   563.933000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066300    -    -  
+JER      lnN     1.014604    -    -  
+JEC      lnN     1.004291    -    -  
+trigger      lnN     1.094526    -    -  
+PDF      lnN     1.019782    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.000600 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ffb1d47
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-PiHAXj.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 5.30889e-10  -5.30889e-10/+0.0688383  (68% CL)
+nll S+B -> -0.000140363  nll B -> -0.00014037
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d005a9a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.200195
+Sigma  for expected limits: 0.102142
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -166.986 (r = 4.92073e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -167.548 (r = 5.49299e-10)
+At r = 1.200000:	q_mu = 72.42116	q_A  = 67.53374	CLsb = 0.00000	CLb  = 0.38309	CLs  = 0.00000
+At r = 0.600000:	q_mu = 29.11274	q_A  = 25.81792	CLsb = 0.00000	CLb  = 0.37289	CLs  = 0.00000
+At r = 0.300000:	q_mu = 10.07471	q_A  = 8.11894	CLsb = 0.00071	CLb  = 0.36573	CLs  = 0.00193
+At r = 0.150000:	q_mu = 3.28941	q_A  = 2.24010	CLsb = 0.03236	CLb  = 0.36297	CLs  = 0.08914
+At r = 0.225000:	q_mu = 6.33390	q_A  = 4.80967	CLsb = 0.00553	CLb  = 0.36411	CLs  = 0.01520
+At r = 0.184610:	q_mu = 4.59638	q_A  = 3.32268	CLsb = 0.01492	CLb  = 0.36340	CLs  = 0.04106
+At r = 0.170651:	q_mu = 4.04788	q_A  = 2.86364	CLsb = 0.02057	CLb  = 0.36321	CLs  = 0.05663
+At r = 0.177768:	q_mu = 4.32412	q_A  = 3.09411	CLsb = 0.01749	CLb  = 0.36331	CLs  = 0.04813
+At r = 0.175013:	q_mu = 4.21629	q_A  = 3.00395	CLsb = 0.01863	CLb  = 0.36327	CLs  = 0.05128
+At r = 0.176444:	q_mu = 4.27218	q_A  = 3.05065	CLsb = 0.01803	CLb  = 0.36329	CLs  = 0.04962
+At r = 0.175895:	q_mu = 4.25070	q_A  = 3.03269	CLsb = 0.01826	CLb  = 0.36328	CLs  = 0.05025
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1759
+Expected  2.5%: r < 0.1052
+Expected 16.0%: r < 0.1412
+Expected 50.0%: r < 0.2002
+Expected 84.0%: r < 0.2856
+Expected 97.5%: r < 0.3954
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt
new file mode 100644
index 0000000..24d88a4
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_390.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_390.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            598.977000   21478.000000   598.977000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066131    -    -  
+JER      lnN     1.013597    -    -  
+JEC      lnN     1.005147    -    -  
+trigger      lnN     1.094669    -    -  
+PDF      lnN     1.020058    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.000228 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..3a7d2a9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-xMgQK8.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 9.42728e-09  -9.42728e-09/+0.0670633  (68% CL)
+nll S+B -> -0.000144847  nll B -> -0.00014415
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0415d5f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.179199
+Sigma  for expected limits: 0.0914299
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -207.083 (r = 1.91734e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -201.376 (r = 1.8615e-07)
+At r = 1.200002:	q_mu = 80.54293	q_A  = 76.78408	CLsb = 0.00000	CLb  = 0.41509	CLs  = 0.00000
+At r = 0.600002:	q_mu = 32.88373	q_A  = 30.26584	CLsb = 0.00000	CLb  = 0.40597	CLs  = 0.00000
+At r = 0.300002:	q_mu = 11.38356	q_A  = 9.77805	CLsb = 0.00036	CLb  = 0.39870	CLs  = 0.00090
+At r = 0.150002:	q_mu = 3.62056	q_A  = 2.73981	CLsb = 0.02735	CLb  = 0.39510	CLs  = 0.06922
+At r = 0.225002:	q_mu = 7.10306	q_A  = 5.83819	CLsb = 0.00370	CLb  = 0.39676	CLs  = 0.00933
+At r = 0.187502:	q_mu = 5.24737	q_A  = 4.16909	CLsb = 0.01056	CLb  = 0.39587	CLs  = 0.02667
+At r = 0.167733:	q_mu = 4.35929	q_A  = 3.38378	CLsb = 0.01766	CLb  = 0.39545	CLs  = 0.04466
+At r = 0.160530:	q_mu = 4.05255	q_A  = 3.11525	CLsb = 0.02115	CLb  = 0.39530	CLs  = 0.05351
+At r = 0.164132:	q_mu = 4.20474	q_A  = 3.24829	CLsb = 0.01934	CLb  = 0.39537	CLs  = 0.04891
+At r = 0.162703:	q_mu = 4.14409	q_A  = 3.19522	CLsb = 0.02004	CLb  = 0.39534	CLs  = 0.05069
+At r = 0.163426:	q_mu = 4.17473	q_A  = 3.22202	CLsb = 0.01968	CLb  = 0.39536	CLs  = 0.04978
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1634
+Expected  2.5%: r < 0.0948
+Expected 16.0%: r < 0.1275
+Expected 50.0%: r < 0.1792
+Expected 84.0%: r < 0.2571
+Expected 97.5%: r < 0.3549
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt
new file mode 100644
index 0000000..d636890
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_400.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  634.021 21478	634.021
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06596    -	-
+JER       lnN     1.01279   - 	-
+JEC       lnN     1.00573   -	-
+trigger   lnN     1.0943615895   -   -
+PDF       lnN     1.02024557782   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.0001
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ac19ae5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-8Idrne.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.64476e-09  -2.64476e-09/+0.0588167  (68% CL)
+nll S+B -> -0.000140109  nll B -> -0.000140151
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..56191e8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.166504
+Sigma  for expected limits: 0.0849525
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -229.835 (r = 7.13638e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -230.895 (r = 7.80281e-07)
+At r = 1.200007:	q_mu = 88.89151	q_A  = 84.25707	CLsb = 0.00000	CLb  = 0.40035	CLs  = 0.00000
+At r = 0.600007:	q_mu = 37.17670	q_A  = 33.89531	CLsb = 0.00000	CLb  = 0.38904	CLs  = 0.00000
+At r = 0.300007:	q_mu = 13.20563	q_A  = 11.15823	CLsb = 0.00013	CLb  = 0.37963	CLs  = 0.00035
+At r = 0.150007:	q_mu = 4.29866	q_A  = 3.16195	CLsb = 0.01796	CLb  = 0.37463	CLs  = 0.04794
+At r = 0.075007:	q_mu = 1.42799	q_A  = 0.83716	CLsb = 0.10789	CLb  = 0.37340	CLs  = 0.28894
+At r = 0.112507:	q_mu = 2.69999	q_A  = 1.82923	CLsb = 0.04703	CLb  = 0.37376	CLs  = 0.12582
+At r = 0.141201:	q_mu = 3.89591	q_A  = 2.82032	CLsb = 0.02277	CLb  = 0.37439	CLs  = 0.06082
+At r = 0.147002:	q_mu = 4.15951	q_A  = 3.04356	CLsb = 0.01949	CLb  = 0.37455	CLs  = 0.05203
+At r = 0.148774:	q_mu = 4.24145	q_A  = 3.11325	CLsb = 0.01857	CLb  = 0.37460	CLs  = 0.04958
+At r = 0.148173:	q_mu = 4.21359	q_A  = 3.08954	CLsb = 0.01888	CLb  = 0.37458	CLs  = 0.05040
+At r = 0.148528:	q_mu = 4.23003	q_A  = 3.10353	CLsb = 0.01870	CLb  = 0.37459	CLs  = 0.04992
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1485
+Expected  2.5%: r < 0.0875
+Expected 16.0%: r < 0.1180
+Expected 50.0%: r < 0.1665
+Expected 84.0%: r < 0.2375
+Expected 97.5%: r < 0.3289
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt
new file mode 100644
index 0000000..9c1f82c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_410.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_410.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            676.487800   21478.000000   676.487800 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065786    -    -  
+JER      lnN     1.012424    -    -  
+JEC      lnN     1.005870    -    -  
+trigger      lnN     1.093565    -    -  
+PDF      lnN     1.020341    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.000233 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..7fd14bc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-4WQ7rG.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.44252e-09  -1.44252e-09/+0.0505777  (68% CL)
+nll S+B -> -0.000226186  nll B -> -0.000226068
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d73824f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.154785
+Sigma  for expected limits: 0.0789735
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -263.144 (r = 9.0639e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -262.287 (r = 3.58348e-06)
+At r = 1.200009:	q_mu = 97.90505	q_A  = 91.94993	CLsb = 0.00000	CLb  = 0.37808	CLs  = 0.00000
+At r = 0.600009:	q_mu = 41.93057	q_A  = 37.66006	CLsb = 0.00000	CLb  = 0.36394	CLs  = 0.00000
+At r = 0.300009:	q_mu = 15.31527	q_A  = 12.61193	CLsb = 0.00004	CLb  = 0.35175	CLs  = 0.00012
+At r = 0.150009:	q_mu = 5.12948	q_A  = 3.61213	CLsb = 0.01073	CLb  = 0.34488	CLs  = 0.03112
+At r = 0.075009:	q_mu = 1.75360	q_A  = 0.96072	CLsb = 0.08308	CLb  = 0.34294	CLs  = 0.24227
+At r = 0.112509:	q_mu = 3.26030	q_A  = 2.09472	CLsb = 0.03216	CLb  = 0.34360	CLs  = 0.09359
+At r = 0.129588:	q_mu = 4.06947	q_A  = 2.74097	CLsb = 0.01985	CLb  = 0.34413	CLs  = 0.05769
+At r = 0.137458:	q_mu = 4.46658	q_A  = 3.06452	CLsb = 0.01574	CLb  = 0.34441	CLs  = 0.04569
+At r = 0.133451:	q_mu = 4.26249	q_A  = 2.89776	CLsb = 0.01773	CLb  = 0.34426	CLs  = 0.05149
+At r = 0.135041:	q_mu = 4.34302	q_A  = 2.96344	CLsb = 0.01691	CLb  = 0.34432	CLs  = 0.04912
+At r = 0.134243:	q_mu = 4.30253	q_A  = 2.93039	CLsb = 0.01732	CLb  = 0.34429	CLs  = 0.05030
+At r = 0.134562:	q_mu = 4.31868	q_A  = 2.94357	CLsb = 0.01715	CLb  = 0.34430	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1346
+Expected  2.5%: r < 0.0816
+Expected 16.0%: r < 0.1099
+Expected 50.0%: r < 0.1548
+Expected 84.0%: r < 0.2220
+Expected 97.5%: r < 0.3065
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt
new file mode 100644
index 0000000..c3c039f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_420.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_420.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            718.954600   21478.000000   718.954600 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065610    -    -  
+JER      lnN     1.012475    -    -  
+JEC      lnN     1.005602    -    -  
+trigger      lnN     1.092303    -    -  
+PDF      lnN     1.020370    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.001110 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..d57bde1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-ELM3Sn.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.53247e-10  -1.53247e-10/+0.0508553  (68% CL)
+nll S+B -> -0.000740574  nll B -> -0.000740575
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c3e4f11
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.144043
+Sigma  for expected limits: 0.0734927
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -296.988 (r = 9.86049e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -298.466 (r = 1.25089e-06)
+At r = 1.200010:	q_mu = 105.28521	q_A  = 100.60718	CLsb = 0.00000	CLb  = 0.40781	CLs  = 0.00000
+At r = 0.600010:	q_mu = 45.38003	q_A  = 41.93349	CLsb = 0.00000	CLb  = 0.39507	CLs  = 0.00000
+At r = 0.300010:	q_mu = 16.52944	q_A  = 14.28676	CLsb = 0.00002	CLb  = 0.38336	CLs  = 0.00006
+At r = 0.150010:	q_mu = 5.42226	q_A  = 4.13691	CLsb = 0.00939	CLb  = 0.37601	CLs  = 0.02497
+At r = 0.075010:	q_mu = 1.78461	q_A  = 1.10518	CLsb = 0.08466	CLb  = 0.37329	CLs  = 0.22678
+At r = 0.112510:	q_mu = 3.39800	q_A  = 2.40493	CLsb = 0.03067	CLb  = 0.37441	CLs  = 0.08193
+At r = 0.132478:	q_mu = 4.42839	q_A  = 3.27695	CLsb = 0.01666	CLb  = 0.37523	CLs  = 0.04439
+At r = 0.125383:	q_mu = 4.04962	q_A  = 2.95374	CLsb = 0.02080	CLb  = 0.37493	CLs  = 0.05548
+At r = 0.129450:	q_mu = 4.26501	q_A  = 3.13719	CLsb = 0.01833	CLb  = 0.37510	CLs  = 0.04886
+At r = 0.128046:	q_mu = 4.19014	q_A  = 3.07331	CLsb = 0.01915	CLb  = 0.37504	CLs  = 0.05106
+At r = 0.128863:	q_mu = 4.23361	q_A  = 3.11038	CLsb = 0.01867	CLb  = 0.37507	CLs  = 0.04977
+At r = 0.128583:	q_mu = 4.21867	q_A  = 3.09764	CLsb = 0.01883	CLb  = 0.37506	CLs  = 0.05021
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1286
+Expected  2.5%: r < 0.0757
+Expected 16.0%: r < 0.1021
+Expected 50.0%: r < 0.1440
+Expected 84.0%: r < 0.2066
+Expected 97.5%: r < 0.2853
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt
new file mode 100644
index 0000000..e2b523d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_430.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_430.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            761.421400   21478.000000   761.421400 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065432    -    -  
+JER      lnN     1.012857    -    -  
+JEC      lnN     1.005012    -    -  
+trigger      lnN     1.090614    -    -  
+PDF      lnN     1.020362    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002230 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..f1f4bb5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-H98qsp.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0199901  -0.0199901/+0.0681595  (68% CL)
+nll S+B -> -0.046308  nll B -> -0.00207248
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..5c78ae0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.134277
+Sigma  for expected limits: 0.0685101
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -320.259 (r = 0.0208992)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -336.621 (r = 3.0859e-05)
+At r = 1.220899:	q_mu = 106.22323	q_A  = 111.65328	CLsb = 0.00000	CLb  = 0.60262	CLs  = 0.00000
+At r = 0.620899:	q_mu = 44.73804	q_A  = 48.60498	CLsb = 0.00000	CLb  = 0.61144	CLs  = 0.00000
+At r = 0.320899:	q_mu = 15.46765	q_A  = 17.93735	CLsb = 0.00004	CLb  = 0.61881	CLs  = 0.00007
+At r = 0.170899:	q_mu = 4.53881	q_A  = 5.96931	CLsb = 0.01657	CLb  = 0.62277	CLs  = 0.02660
+At r = 0.095899:	q_mu = 1.22005	q_A  = 2.01786	CLsb = 0.13468	CLb  = 0.62398	CLs  = 0.21583
+At r = 0.133399:	q_mu = 2.64797	q_A  = 3.77114	CLsb = 0.05184	CLb  = 0.62350	CLs  = 0.08315
+At r = 0.154287:	q_mu = 3.64837	q_A  = 4.94508	CLsb = 0.02806	CLb  = 0.62312	CLs  = 0.04503
+At r = 0.147259:	q_mu = 3.29655	q_A  = 4.53551	CLsb = 0.03471	CLb  = 0.62325	CLs  = 0.05570
+At r = 0.150114:	q_mu = 3.43760	q_A  = 4.70010	CLsb = 0.03186	CLb  = 0.62320	CLs  = 0.05113
+At r = 0.151537:	q_mu = 3.50883	q_A  = 4.78301	CLsb = 0.03052	CLb  = 0.62317	CLs  = 0.04898
+At r = 0.150705:	q_mu = 3.46713	q_A  = 4.73448	CLsb = 0.03130	CLb  = 0.62319	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1507
+Expected  2.5%: r < 0.0711
+Expected 16.0%: r < 0.0953
+Expected 50.0%: r < 0.1343
+Expected 84.0%: r < 0.1926
+Expected 97.5%: r < 0.2659
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt
new file mode 100644
index 0000000..b88d57b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_440.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_440.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            803.888200   21478.000000   803.888200 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065252    -    -  
+JER      lnN     1.013481    -    -  
+JEC      lnN     1.004186    -    -  
+trigger      lnN     1.088536    -    -  
+PDF      lnN     1.020350    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.003294 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..f8f57ba
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-4QAekW.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0937448  -0.0636101/+0.066714  (68% CL)
+nll S+B -> -1.08844  nll B -> -0.0041431
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..f202936
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.127441
+Sigma  for expected limits: 0.0650223
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -332.031 (r = 0.0938078)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -373.842 (r = 1.28426e-07)
+At r = 1.293808:	q_mu = 104.59995	q_A  = 128.10838	CLsb = 0.00000	CLb  = 0.86238	CLs  = 0.00000
+At r = 0.693808:	q_mu = 43.93206	q_A  = 61.42836	CLsb = 0.00000	CLb  = 0.88676	CLs  = 0.00000
+At r = 0.393808:	q_mu = 15.33356	q_A  = 27.39402	CLsb = 0.00005	CLb  = 0.90627	CLs  = 0.00005
+At r = 0.243808:	q_mu = 4.57631	q_A  = 12.48067	CLsb = 0.01621	CLb  = 0.91828	CLs  = 0.01765
+At r = 0.168808:	q_mu = 1.24160	q_A  = 6.49281	CLsb = 0.13258	CLb  = 0.92419	CLs  = 0.14346
+At r = 0.198991:	q_mu = 2.36559	q_A  = 8.73707	CLsb = 0.06202	CLb  = 0.92188	CLs  = 0.06727
+At r = 0.215906:	q_mu = 3.12909	q_A  = 10.09708	CLsb = 0.03845	CLb  = 0.92053	CLs  = 0.04177
+At r = 0.207418:	q_mu = 2.73472	q_A  = 9.40613	CLsb = 0.04909	CLb  = 0.92121	CLs  = 0.05329
+At r = 0.210894:	q_mu = 2.89348	q_A  = 9.68703	CLsb = 0.04447	CLb  = 0.92093	CLs  = 0.04829
+At r = 0.209216:	q_mu = 2.81636	q_A  = 9.55108	CLsb = 0.04665	CLb  = 0.92107	CLs  = 0.05065
+At r = 0.209916:	q_mu = 2.84839	q_A  = 9.60766	CLsb = 0.04573	CLb  = 0.92101	CLs  = 0.04965
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2099
+Expected  2.5%: r < 0.0672
+Expected 16.0%: r < 0.0903
+Expected 50.0%: r < 0.1274
+Expected 84.0%: r < 0.1818
+Expected 97.5%: r < 0.2501
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt
new file mode 100644
index 0000000..7e45c33
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_450.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  846.355 21478	846.355
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06507    -	-
+JER       lnN     1.01426   - 	-
+JEC       lnN     1.00321   -	-
+trigger   lnN     1.0861090745   -   -
+PDF       lnN     1.02036477335   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.004
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..0b167cf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-GLnnYi.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.147015  -0.0600369/+0.0641575  (68% CL)
+nll S+B -> -3.11167  nll B -> -0.00605359
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..00ef186
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.117676
+Sigma  for expected limits: 0.0600398
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -361.01 (r = 0.147056)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -424.724 (r = 3.25833e-06)
+At r = 1.347056:	q_mu = 107.33076	q_A  = 146.57085	CLsb = 0.00000	CLb  = 0.95965	CLs  = 0.00000
+At r = 0.747056:	q_mu = 45.22995	q_A  = 75.05046	CLsb = 0.00000	CLb  = 0.97368	CLs  = 0.00000
+At r = 0.447056:	q_mu = 15.97184	q_A  = 37.36948	CLsb = 0.00003	CLb  = 0.98285	CLs  = 0.00003
+At r = 0.297056:	q_mu = 4.84858	q_A  = 19.80510	CLsb = 0.01383	CLb  = 0.98772	CLs  = 0.01401
+At r = 0.222056:	q_mu = 1.33503	q_A  = 12.12212	CLsb = 0.12396	CLb  = 0.99000	CLs  = 0.12521
+At r = 0.259556:	q_mu = 2.86366	q_A  = 15.83042	CLsb = 0.04530	CLb  = 0.98889	CLs  = 0.04581
+At r = 0.249445:	q_mu = 2.40318	q_A  = 14.80169	CLsb = 0.06054	CLb  = 0.98919	CLs  = 0.06121
+At r = 0.255090:	q_mu = 2.65608	q_A  = 15.37359	CLsb = 0.05158	CLb  = 0.98902	CLs  = 0.05215
+At r = 0.257144:	q_mu = 2.75071	q_A  = 15.58317	CLsb = 0.04861	CLb  = 0.98896	CLs  = 0.04915
+At r = 0.256257:	q_mu = 2.70967	q_A  = 15.49255	CLsb = 0.04987	CLb  = 0.98899	CLs  = 0.05043
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2563
+Expected  2.5%: r < 0.0621
+Expected 16.0%: r < 0.0833
+Expected 50.0%: r < 0.1177
+Expected 84.0%: r < 0.1679
+Expected 97.5%: r < 0.2324
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt
new file mode 100644
index 0000000..bd231c8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_460.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_460.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            887.682000   21478.000000   887.682000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.064889    -    -  
+JER      lnN     1.015107    -    -  
+JEC      lnN     1.002185    -    -  
+trigger      lnN     1.083397    -    -  
+PDF      lnN     1.020431    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.004139 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..38928de
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-ju130r.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.139603  -0.0560708/+0.0598685  (68% CL)
+nll S+B -> -3.22174  nll B -> -0.00681387
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..764f469
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.109863
+Sigma  for expected limits: 0.0560537
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -410.229 (r = 0.13955)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -476.552 (r = 1.18402e-06)
+At r = 1.339550:	q_mu = 117.51015	q_A  = 158.56189	CLsb = 0.00000	CLb  = 0.96011	CLs  = 0.00000
+At r = 0.739550:	q_mu = 50.16165	q_A  = 81.50445	CLsb = 0.00000	CLb  = 0.97414	CLs  = 0.00000
+At r = 0.439550:	q_mu = 17.93846	q_A  = 40.53451	CLsb = 0.00001	CLb  = 0.98347	CLs  = 0.00001
+At r = 0.289550:	q_mu = 5.49533	q_A  = 21.30199	CLsb = 0.00953	CLb  = 0.98843	CLs  = 0.00965
+At r = 0.214550:	q_mu = 1.51954	q_A  = 12.87434	CLsb = 0.10884	CLb  = 0.99075	CLs  = 0.10986
+At r = 0.252050:	q_mu = 3.25322	q_A  = 16.94145	CLsb = 0.03564	CLb  = 0.98962	CLs  = 0.03602
+At r = 0.235725:	q_mu = 2.43026	q_A  = 15.13025	CLsb = 0.05951	CLb  = 0.99012	CLs  = 0.06010
+At r = 0.243682:	q_mu = 2.81889	q_A  = 16.00575	CLsb = 0.04658	CLb  = 0.98988	CLs  = 0.04706
+At r = 0.240512:	q_mu = 2.66114	q_A  = 15.65525	CLsb = 0.05141	CLb  = 0.98997	CLs  = 0.05193
+At r = 0.242122:	q_mu = 2.74077	q_A  = 15.83298	CLsb = 0.04891	CLb  = 0.98992	CLs  = 0.04941
+At r = 0.241492:	q_mu = 2.70948	q_A  = 15.76334	CLsb = 0.04988	CLb  = 0.98994	CLs  = 0.05038
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2415
+Expected  2.5%: r < 0.0579
+Expected 16.0%: r < 0.0778
+Expected 50.0%: r < 0.1099
+Expected 84.0%: r < 0.1576
+Expected 97.5%: r < 0.2162
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt
new file mode 100644
index 0000000..03c2765
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_470.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_470.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            929.009000   21478.000000   929.009000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.064726    -    -  
+JER      lnN     1.015948    -    -  
+JEC      lnN     1.001268    -    -  
+trigger      lnN     1.080568    -    -  
+PDF      lnN     1.020545    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.003865 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..53e9257
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-F5KSfY.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0818373  -0.0518879/+0.0543797  (68% CL)
+nll S+B -> -1.25174  nll B -> -0.00657582
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e0469e5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.103027
+Sigma  for expected limits: 0.0525659
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -481.248 (r = 0.0818097)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -530.713 (r = 1.09456e-05)
+At r = 1.281810:	q_mu = 136.19541	q_A  = 164.08707	CLsb = 0.00000	CLb  = 0.87273	CLs  = 0.00000
+At r = 0.681810:	q_mu = 59.50953	q_A  = 80.58416	CLsb = 0.00000	CLb  = 0.89664	CLs  = 0.00000
+At r = 0.381810:	q_mu = 21.62998	q_A  = 36.41596	CLsb = 0.00000	CLb  = 0.91678	CLs  = 0.00000
+At r = 0.231810:	q_mu = 6.65429	q_A  = 16.43048	CLsb = 0.00495	CLb  = 0.92974	CLs  = 0.00532
+At r = 0.156810:	q_mu = 1.83465	q_A  = 8.28935	CLsb = 0.08779	CLb  = 0.93632	CLs  = 0.09376
+At r = 0.194310:	q_mu = 3.93592	q_A  = 12.13232	CLsb = 0.02363	CLb  = 0.93309	CLs  = 0.02533
+At r = 0.178720:	q_mu = 2.98021	q_A  = 10.47295	CLsb = 0.04214	CLb  = 0.93446	CLs  = 0.04510
+At r = 0.171868:	q_mu = 2.59616	q_A  = 9.77049	CLsb = 0.05356	CLb  = 0.93505	CLs  = 0.05728
+At r = 0.174985:	q_mu = 2.76803	q_A  = 10.08791	CLsb = 0.04808	CLb  = 0.93478	CLs  = 0.05144
+At r = 0.176376:	q_mu = 2.84625	q_A  = 10.23070	CLsb = 0.04579	CLb  = 0.93466	CLs  = 0.04899
+At r = 0.175633:	q_mu = 2.80435	q_A  = 10.15435	CLsb = 0.04700	CLb  = 0.93473	CLs  = 0.05029
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1756
+Expected  2.5%: r < 0.0543
+Expected 16.0%: r < 0.0737
+Expected 50.0%: r < 0.1030
+Expected 84.0%: r < 0.1478
+Expected 97.5%: r < 0.2027
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt
new file mode 100644
index 0000000..ed338fe
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_480.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_480.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            970.336000   21478.000000   970.336000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.064602    -    -  
+JER      lnN     1.016709    -    -  
+JEC      lnN     1.000631    -    -  
+trigger      lnN     1.077816    -    -  
+PDF      lnN     1.020700    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.003422 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..2533106
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-6xGIx1.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.0155087  -0.0155087/+0.0494883  (68% CL)
+nll S+B -> -0.0567275  nll B -> -0.00633549
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..50d88b0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.097168
+Sigma  for expected limits: 0.0495764
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -566.492 (r = 0.0155785)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -587.977 (r = 9.3546e-06)
+At r = 1.215579:	q_mu = 160.08055	q_A  = 167.47760	CLsb = 0.00000	CLb  = 0.61372	CLs  = 0.00000
+At r = 0.615579:	q_mu = 71.83815	q_A  = 77.18490	CLsb = 0.00000	CLb  = 0.62163	CLs  = 0.00000
+At r = 0.315579:	q_mu = 26.54255	q_A  = 30.03555	CLsb = 0.00000	CLb  = 0.62874	CLs  = 0.00000
+At r = 0.165579:	q_mu = 8.15378	q_A  = 10.20203	CLsb = 0.00215	CLb  = 0.63254	CLs  = 0.00340
+At r = 0.090579:	q_mu = 2.22399	q_A  = 3.35446	CLsb = 0.06794	CLb  = 0.63315	CLs  = 0.10731
+At r = 0.128079:	q_mu = 4.80277	q_A  = 6.40849	CLsb = 0.01421	CLb  = 0.63306	CLs  = 0.02244
+At r = 0.112720:	q_mu = 3.64408	q_A  = 5.05896	CLsb = 0.02813	CLb  = 0.63317	CLs  = 0.04443
+At r = 0.105920:	q_mu = 3.17530	q_A  = 4.50404	CLsb = 0.03738	CLb  = 0.63320	CLs  = 0.05903
+At r = 0.109100:	q_mu = 3.39098	q_A  = 4.76020	CLsb = 0.03278	CLb  = 0.63320	CLs  = 0.05176
+At r = 0.110482:	q_mu = 3.48661	q_A  = 4.87334	CLsb = 0.03093	CLb  = 0.63319	CLs  = 0.04885
+At r = 0.109762:	q_mu = 3.43666	q_A  = 4.81429	CLsb = 0.03188	CLb  = 0.63319	CLs  = 0.05035
+At r = 0.110040:	q_mu = 3.45588	q_A  = 4.83702	CLsb = 0.03151	CLb  = 0.63319	CLs  = 0.04977
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1100
+Expected  2.5%: r < 0.0512
+Expected 16.0%: r < 0.0688
+Expected 50.0%: r < 0.0972
+Expected 84.0%: r < 0.1386
+Expected 97.5%: r < 0.1907
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt
new file mode 100644
index 0000000..72d41d8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_490.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_490.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1011.663000   21478.000000   1011.663000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.064537    -    -  
+JER      lnN     1.017318    -    -  
+JEC      lnN     1.000444    -    -  
+trigger      lnN     1.075337    -    -  
+PDF      lnN     1.020886    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.003052 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..1806622
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-nlEOzC.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 7.31309e-10  -7.31309e-10/+0.0255814  (68% CL)
+nll S+B -> -0.00722762  nll B -> -0.0072276
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..a9088de
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0942383
+Sigma  for expected limits: 0.0480816
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -634.228 (r = 7.54527e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -627.559 (r = 2.62826e-06)
+At r = 1.200000:	q_mu = 183.98544	q_A  = 172.94250	CLsb = 0.00000	CLb  = 0.33729	CLs  = 0.00000
+At r = 0.600000:	q_mu = 87.02337	q_A  = 78.61215	CLsb = 0.00000	CLb  = 0.31763	CLs  = 0.00000
+At r = 0.300000:	q_mu = 35.18055	q_A  = 29.39345	CLsb = 0.00000	CLb  = 0.29677	CLs  = 0.00000
+At r = 0.150000:	q_mu = 12.59340	q_A  = 9.09924	CLsb = 0.00016	CLb  = 0.28124	CLs  = 0.00058
+At r = 0.075000:	q_mu = 4.40097	q_A  = 2.49889	CLsb = 0.01454	CLb  = 0.27371	CLs  = 0.05312
+At r = 0.112500:	q_mu = 8.11387	q_A  = 5.37325	CLsb = 0.00181	CLb  = 0.27721	CLs  = 0.00654
+At r = 0.093750:	q_mu = 6.15035	q_A  = 3.81838	CLsb = 0.00537	CLb  = 0.27536	CLs  = 0.01952
+At r = 0.079657:	q_mu = 4.81413	q_A  = 2.80332	CLsb = 0.01146	CLb  = 0.27409	CLs  = 0.04181
+At r = 0.076873:	q_mu = 4.56541	q_A  = 2.61945	CLsb = 0.01322	CLb  = 0.27386	CLs  = 0.04828
+At r = 0.075949:	q_mu = 4.48399	q_A  = 2.55965	CLsb = 0.01386	CLb  = 0.27379	CLs  = 0.05062
+At r = 0.076325:	q_mu = 4.51705	q_A  = 2.58390	CLsb = 0.01360	CLb  = 0.27382	CLs  = 0.04965
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0763
+Expected  2.5%: r < 0.0497
+Expected 16.0%: r < 0.0667
+Expected 50.0%: r < 0.0942
+Expected 84.0%: r < 0.1337
+Expected 97.5%: r < 0.1844
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt
new file mode 100644
index 0000000..f20822b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_500.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1052.99 21478	1052.99
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06455    -	-
+JER       lnN     1.0177   - 	-
+JEC       lnN     1.00088   -	-
+trigger   lnN     1.0733235575   -   -
+PDF       lnN     1.02109510112   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.003
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..75f85dd
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-wfybWD.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.35981e-08  -1.35981e-08/+0.0160236  (68% CL)
+nll S+B -> -0.0114837  nll B -> -0.0114837
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..fa0c19d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0883789
+Sigma  for expected limits: 0.0450921
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -718.322 (r = 6.65587e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -694.317 (r = 7.67502e-07)
+At r = 1.200001:	q_mu = 207.26985	q_A  = 185.37901	CLsb = 0.00000	CLb  = 0.21073	CLs  = 0.00000
+At r = 0.600001:	q_mu = 101.99467	q_A  = 85.40118	CLsb = 0.00000	CLb  = 0.18465	CLs  = 0.00000
+At r = 0.300001:	q_mu = 43.86608	q_A  = 32.45423	CLsb = 0.00000	CLb  = 0.15827	CLs  = 0.00000
+At r = 0.150001:	q_mu = 17.09070	q_A  = 10.17976	CLsb = 0.00001	CLb  = 0.13940	CLs  = 0.00007
+At r = 0.075001:	q_mu = 6.58559	q_A  = 2.81326	CLsb = 0.00254	CLb  = 0.13039	CLs  = 0.01949
+At r = 0.037501:	q_mu = 2.69045	q_A  = 0.73933	CLsb = 0.02305	CLb  = 0.12828	CLs  = 0.17971
+At r = 0.056251:	q_mu = 4.50114	q_A  = 1.62013	CLsb = 0.00810	CLb  = 0.12888	CLs  = 0.06282
+At r = 0.062925:	q_mu = 5.21337	q_A  = 2.01043	CLsb = 0.00543	CLb  = 0.12935	CLs  = 0.04196
+At r = 0.059270:	q_mu = 4.81909	q_A  = 1.79185	CLsb = 0.00677	CLb  = 0.12908	CLs  = 0.05243
+At r = 0.060624:	q_mu = 4.96395	q_A  = 1.87144	CLsb = 0.00624	CLb  = 0.12917	CLs  = 0.04830
+At r = 0.059897:	q_mu = 4.88600	q_A  = 1.82849	CLsb = 0.00652	CLb  = 0.12912	CLs  = 0.05048
+At r = 0.060169:	q_mu = 4.91508	q_A  = 1.84449	CLsb = 0.00641	CLb  = 0.12914	CLs  = 0.04966
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0602
+Expected  2.5%: r < 0.0466
+Expected 16.0%: r < 0.0626
+Expected 50.0%: r < 0.0884
+Expected 84.0%: r < 0.1261
+Expected 97.5%: r < 0.1734
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt
new file mode 100644
index 0000000..f9c5436
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_510.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_510.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1083.866000   21478.000000   1083.866000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.064655    -    -  
+JER      lnN     1.017809    -    -  
+JEC      lnN     1.002022    -    -  
+trigger      lnN     1.071913    -    -  
+PDF      lnN     1.021317    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.003422 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..efacbea
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-NNeJBk.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.86278e-14  -4.86278e-14/+0.0130441  (68% CL)
+nll S+B -> -0.0198862  nll B -> -0.0198862
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e61a16c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0844727
+Sigma  for expected limits: 0.0430991
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -780.666 (r = 2.7558e-11)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -746.405 (r = 8.47981e-06)
+At r = 1.200000:	q_mu = 221.47819	q_A  = 194.10562	CLsb = 0.00000	CLb  = 0.16296	CLs  = 0.00000
+At r = 0.600000:	q_mu = 111.05624	q_A  = 90.16450	CLsb = 0.00000	CLb  = 0.13565	CLs  = 0.00000
+At r = 0.300000:	q_mu = 49.07584	q_A  = 34.64828	CLsb = 0.00000	CLb  = 0.11019	CLs  = 0.00000
+At r = 0.150000:	q_mu = 19.75842	q_A  = 10.96852	CLsb = 0.00000	CLb  = 0.09225	CLs  = 0.00002
+At r = 0.075000:	q_mu = 7.86534	q_A  = 3.04461	CLsb = 0.00089	CLb  = 0.08358	CLs  = 0.01059
+At r = 0.037500:	q_mu = 3.29998	q_A  = 0.80046	CLsb = 0.01097	CLb  = 0.08123	CLs  = 0.13500
+At r = 0.056250:	q_mu = 5.44066	q_A  = 1.75434	CLsb = 0.00330	CLb  = 0.08203	CLs  = 0.04027
+At r = 0.049816:	q_mu = 4.67249	q_A  = 1.38785	CLsb = 0.00505	CLb  = 0.08165	CLs  = 0.06189
+At r = 0.053658:	q_mu = 5.12704	q_A  = 1.60181	CLsb = 0.00393	CLb  = 0.08186	CLs  = 0.04797
+At r = 0.052389:	q_mu = 4.97561	q_A  = 1.52956	CLsb = 0.00427	CLb  = 0.08178	CLs  = 0.05221
+At r = 0.052908:	q_mu = 5.03733	q_A  = 1.55890	CLsb = 0.00413	CLb  = 0.08181	CLs  = 0.05044
+At r = 0.053162:	q_mu = 5.06771	q_A  = 1.57339	CLsb = 0.00406	CLb  = 0.08183	CLs  = 0.04959
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0532
+Expected  2.5%: r < 0.0445
+Expected 16.0%: r < 0.0605
+Expected 50.0%: r < 0.0845
+Expected 84.0%: r < 0.1205
+Expected 97.5%: r < 0.1658
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt
new file mode 100644
index 0000000..1bfd4da
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_520.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_520.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1114.742000   21478.000000   1114.742000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.064837    -    -  
+JER      lnN     1.017696    -    -  
+JEC      lnN     1.003601    -    -  
+trigger      lnN     1.071008    -    -  
+PDF      lnN     1.021543    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.004119 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..bd0e9f6
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-35COWJ.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.77778e-13  -2.77778e-13/+0.0112088  (68% CL)
+nll S+B -> -0.032176  nll B -> -0.0321759
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..fb31597
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.081543
+Sigma  for expected limits: 0.0416043
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -846.011 (r = 3.84703e-11)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -800.733 (r = 5.41362e-06)
+At r = 1.200000:	q_mu = 234.94974	q_A  = 202.11615	CLsb = 0.00000	CLb  = 0.12410	CLs  = 0.00000
+At r = 0.600000:	q_mu = 119.78155	q_A  = 94.82583	CLsb = 0.00000	CLb  = 0.10003	CLs  = 0.00000
+At r = 0.300000:	q_mu = 54.06491	q_A  = 36.86317	CLsb = 0.00000	CLb  = 0.07830	CLs  = 0.00000
+At r = 0.150000:	q_mu = 22.26226	q_A  = 11.78450	CLsb = 0.00000	CLb  = 0.06349	CLs  = 0.00001
+At r = 0.075000:	q_mu = 9.03162	q_A  = 3.28702	CLsb = 0.00034	CLb  = 0.05657	CLs  = 0.00602
+At r = 0.037500:	q_mu = 3.84074	q_A  = 0.86476	CLsb = 0.00570	CLb  = 0.05479	CLs  = 0.10409
+At r = 0.056250:	q_mu = 6.28664	q_A  = 1.89531	CLsb = 0.00148	CLb  = 0.05537	CLs  = 0.02675
+At r = 0.045595:	q_mu = 4.85756	q_A  = 1.26337	CLsb = 0.00324	CLb  = 0.05493	CLs  = 0.05892
+At r = 0.049498:	q_mu = 5.36946	q_A  = 1.48104	CLsb = 0.00244	CLb  = 0.05507	CLs  = 0.04435
+At r = 0.047399:	q_mu = 5.09244	q_A  = 1.36194	CLsb = 0.00284	CLb  = 0.05499	CLs  = 0.05171
+At r = 0.048186:	q_mu = 5.19585	q_A  = 1.40604	CLsb = 0.00269	CLb  = 0.05502	CLs  = 0.04883
+At r = 0.047768:	q_mu = 5.14081	q_A  = 1.38251	CLsb = 0.00277	CLb  = 0.05500	CLs  = 0.05034
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0478
+Expected  2.5%: r < 0.0430
+Expected 16.0%: r < 0.0578
+Expected 50.0%: r < 0.0815
+Expected 84.0%: r < 0.1157
+Expected 97.5%: r < 0.1596
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt
new file mode 100644
index 0000000..d61d0a5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_530.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_530.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1145.618000   21478.000000   1145.618000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065074    -    -  
+JER      lnN     1.017438    -    -  
+JEC      lnN     1.005259    -    -  
+trigger      lnN     1.070453    -    -  
+PDF      lnN     1.021762    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.004805 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..91f054d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-i8fROh.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.62074e-11  -1.62074e-11/+0.00898897  (68% CL)
+nll S+B -> -0.0441381  nll B -> -0.0441377
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..21ebfe5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0786133
+Sigma  for expected limits: 0.0401096
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -917.167 (r = 5.43947e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -859.059 (r = 1.62209e-06)
+At r = 1.200000:	q_mu = 250.73251	q_A  = 210.63783	CLsb = 0.00000	CLb  = 0.08359	CLs  = 0.00000
+At r = 0.600000:	q_mu = 130.74554	q_A  = 99.52974	CLsb = 0.00000	CLb  = 0.05885	CLs  = 0.00000
+At r = 0.300000:	q_mu = 60.79075	q_A  = 39.14702	CLsb = 0.00000	CLb  = 0.04185	CLs  = 0.00000
+At r = 0.150000:	q_mu = 25.91910	q_A  = 12.64162	CLsb = 0.00000	CLb  = 0.03094	CLs  = 0.00000
+At r = 0.075000:	q_mu = 10.86331	q_A  = 3.54426	CLsb = 0.00006	CLb  = 0.02596	CLs  = 0.00250
+At r = 0.037500:	q_mu = 4.73508	q_A  = 0.93317	CLsb = 0.00167	CLb  = 0.02454	CLs  = 0.06820
+At r = 0.056250:	q_mu = 7.64788	q_A  = 2.04515	CLsb = 0.00035	CLb  = 0.02506	CLs  = 0.01400
+At r = 0.046875:	q_mu = 6.15079	q_A  = 1.43850	CLsb = 0.00078	CLb  = 0.02474	CLs  = 0.03147
+At r = 0.042386:	q_mu = 5.46253	q_A  = 1.18385	CLsb = 0.00113	CLb  = 0.02464	CLs  = 0.04579
+At r = 0.040545:	q_mu = 5.18565	q_A  = 1.08595	CLsb = 0.00131	CLb  = 0.02459	CLs  = 0.05327
+At r = 0.041530:	q_mu = 5.33330	q_A  = 1.13772	CLsb = 0.00121	CLb  = 0.02461	CLs  = 0.04914
+At r = 0.041164:	q_mu = 5.27829	q_A  = 1.11833	CLsb = 0.00125	CLb  = 0.02460	CLs  = 0.05064
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0412
+Expected  2.5%: r < 0.0415
+Expected 16.0%: r < 0.0557
+Expected 50.0%: r < 0.0786
+Expected 84.0%: r < 0.1115
+Expected 97.5%: r < 0.1529
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt
new file mode 100644
index 0000000..4095460
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_540.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_540.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1176.494000   21478.000000   1176.494000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065342    -    -  
+JER      lnN     1.017114    -    -  
+JEC      lnN     1.006642    -    -  
+trigger      lnN     1.070093    -    -  
+PDF      lnN     1.021965    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.005194 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..00d0c7b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-XrVP5E.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.69704e-14  -3.69704e-14/+0.00728769  (68% CL)
+nll S+B -> -0.0469109  nll B -> -0.0469103
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..627ea1c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0766602
+Sigma  for expected limits: 0.039113
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -973.711 (r = 2.66296e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -906.62 (r = 5.13703e-06)
+At r = 1.200000:	q_mu = 264.08924	q_A  = 215.80957	CLsb = 0.00000	CLb  = 0.05017	CLs  = 0.00000
+At r = 0.600000:	q_mu = 140.24329	q_A  = 102.80588	CLsb = 0.00000	CLb  = 0.03244	CLs  = 0.00000
+At r = 0.300000:	q_mu = 67.00564	q_A  = 40.74597	CLsb = 0.00000	CLb  = 0.01985	CLs  = 0.00000
+At r = 0.150000:	q_mu = 29.55781	q_A  = 13.24517	CLsb = 0.00000	CLb  = 0.01251	CLs  = 0.00000
+At r = 0.075000:	q_mu = 12.81014	q_A  = 3.72558	CLsb = 0.00001	CLb  = 0.00930	CLs  = 0.00099
+At r = 0.037500:	q_mu = 5.72977	q_A  = 0.98109	CLsb = 0.00035	CLb  = 0.00826	CLs  = 0.04267
+At r = 0.018750:	q_mu = 2.67097	q_A  = 0.25442	CLsb = 0.00187	CLb  = 0.00830	CLs  = 0.22490
+At r = 0.028125:	q_mu = 4.15500	q_A  = 0.56033	CLsb = 0.00082	CLb  = 0.00817	CLs  = 0.10001
+At r = 0.034228:	q_mu = 5.17029	q_A  = 0.82144	CLsb = 0.00047	CLb  = 0.00822	CLs  = 0.05770
+At r = 0.036124:	q_mu = 5.49332	q_A  = 0.91237	CLsb = 0.00040	CLb  = 0.00824	CLs  = 0.04846
+At r = 0.035474:	q_mu = 5.38205	q_A  = 0.88065	CLsb = 0.00042	CLb  = 0.00823	CLs  = 0.05146
+At r = 0.035854:	q_mu = 5.44698	q_A  = 0.89910	CLsb = 0.00041	CLb  = 0.00824	CLs  = 0.04969
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0359
+Expected  2.5%: r < 0.0404
+Expected 16.0%: r < 0.0543
+Expected 50.0%: r < 0.0767
+Expected 84.0%: r < 0.1087
+Expected 97.5%: r < 0.1491
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt
new file mode 100644
index 0000000..3788a5c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_550.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1207.37 21478	1207.37
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06562    -	-
+JER       lnN     1.0168   - 	-
+JEC       lnN     1.00739   -	-
+trigger   lnN     1.0697740714   -   -
+PDF       lnN     1.02213999321   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.005
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..abb0508
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-jrfaFR.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.82511e-12  -3.82511e-12/+0.00648579  (68% CL)
+nll S+B -> -0.0365182  nll B -> -0.0365178
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..f3b8b20
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out
@@ -0,0 +1,43 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0727539
+Sigma  for expected limits: 0.03712
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1049.74 (r = 2.2462e-11)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -980.155 (r = 1.17817e-06)
+At r = 1.200000:	q_mu = 278.62015	q_A  = 225.93398	CLsb = 0.00000	CLb  = 0.03984	CLs  = 0.00000
+At r = 0.600000:	q_mu = 149.56193	q_A  = 109.12676	CLsb = 0.00000	CLb  = 0.02647	CLs  = 0.00000
+At r = 0.300000:	q_mu = 72.59142	q_A  = 43.88819	CLsb = 0.00000	CLb  = 0.01514	CLs  = 0.00000
+At r = 0.150000:	q_mu = 32.52218	q_A  = 14.45793	CLsb = 0.00000	CLb  = 0.00876	CLs  = 0.00000
+At r = 0.075000:	q_mu = 14.25784	q_A  = 4.09642	CLsb = 0.00000	CLb  = 0.00603	CLs  = 0.00048
+At r = 0.037500:	q_mu = 6.42114	q_A  = 1.08016	CLsb = 0.00015	CLb  = 0.00509	CLs  = 0.03020
+At r = 0.018750:	q_mu = 3.00434	q_A  = 0.27928	CLsb = 0.00095	CLb  = 0.00496	CLs  = 0.19050
+At r = 0.028125:	q_mu = 4.66486	q_A  = 0.61645	CLsb = 0.00039	CLb  = 0.00497	CLs  = 0.07754
+At r = 0.033490:	q_mu = 5.65871	q_A  = 0.86663	CLsb = 0.00023	CLb  = 0.00503	CLs  = 0.04544
+At r = 0.031649:	q_mu = 5.31430	q_A  = 0.77625	CLsb = 0.00027	CLb  = 0.00501	CLs  = 0.05467
+At r = 0.032728:	q_mu = 5.51571	q_A  = 0.82863	CLsb = 0.00025	CLb  = 0.00502	CLs  = 0.04906
+At r = 0.032361:	q_mu = 5.44710	q_A  = 0.81063	CLsb = 0.00026	CLb  = 0.00501	CLs  = 0.05090
+At r = 0.032578:	q_mu = 5.48752	q_A  = 0.82120	CLsb = 0.00025	CLb  = 0.00502	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0326
+Expected  2.5%: r < 0.0384
+Expected 16.0%: r < 0.0515
+Expected 50.0%: r < 0.0728
+Expected 84.0%: r < 0.1032
+Expected 97.5%: r < 0.1415
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/datacard_560_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/datacard_560_novo_285_625.txt
new file mode 100644
index 0000000..a565120
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/datacard_560_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_560.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_560.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1239.830000   21478.000000   1239.830000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065890    -    -  
+JER      lnN     1.016559    -    -  
+JEC      lnN     1.007259    -    -  
+trigger      lnN     1.069371    -    -  
+PDF      lnN     1.022281    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.004038 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..fbebec4
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-0MgZZi.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 6.18672e-13  -6.18672e-13/+0.00692426  (68% CL)
+nll S+B -> -0.0173488  nll B -> -0.0173488
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..4fdd47c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out
@@ -0,0 +1,43 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0698242
+Sigma  for expected limits: 0.0356253
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1115.65 (r = 3.31342e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1051.34 (r = 4.23388e-06)
+At r = 1.200000:	q_mu = 285.14763	q_A  = 235.91970	CLsb = 0.00000	CLb  = 0.05452	CLs  = 0.00000
+At r = 0.600000:	q_mu = 152.38726	q_A  = 115.11763	CLsb = 0.00000	CLb  = 0.04121	CLs  = 0.00000
+At r = 0.300000:	q_mu = 73.42168	q_A  = 46.87270	CLsb = 0.00000	CLb  = 0.02626	CLs  = 0.00000
+At r = 0.150000:	q_mu = 32.39242	q_A  = 15.61560	CLsb = 0.00000	CLb  = 0.01689	CLs  = 0.00000
+At r = 0.075000:	q_mu = 13.90828	q_A  = 4.44947	CLsb = 0.00001	CLb  = 0.01248	CLs  = 0.00054
+At r = 0.037500:	q_mu = 6.14541	q_A  = 1.17253	CLsb = 0.00036	CLb  = 0.01083	CLs  = 0.03358
+At r = 0.018750:	q_mu = 2.83743	q_A  = 0.30126	CLsb = 0.00212	CLb  = 0.01043	CLs  = 0.20350
+At r = 0.028125:	q_mu = 4.43670	q_A  = 0.66791	CLsb = 0.00090	CLb  = 0.01056	CLs  = 0.08474
+At r = 0.032399:	q_mu = 5.20260	q_A  = 0.88116	CLsb = 0.00060	CLb  = 0.01067	CLs  = 0.05590
+At r = 0.034312:	q_mu = 5.55263	q_A  = 0.98590	CLsb = 0.00050	CLb  = 0.01073	CLs  = 0.04624
+At r = 0.033299:	q_mu = 5.36669	q_A  = 0.92970	CLsb = 0.00055	CLb  = 0.01070	CLs  = 0.05114
+At r = 0.033683:	q_mu = 5.43705	q_A  = 0.95080	CLsb = 0.00053	CLb  = 0.01071	CLs  = 0.04923
+At r = 0.033481:	q_mu = 5.39999	q_A  = 0.93966	CLsb = 0.00054	CLb  = 0.01071	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0335
+Expected  2.5%: r < 0.0368
+Expected 16.0%: r < 0.0495
+Expected 50.0%: r < 0.0698
+Expected 84.0%: r < 0.0985
+Expected 97.5%: r < 0.1354
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/datacard_570_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/datacard_570_novo_285_625.txt
new file mode 100644
index 0000000..1c4bf6b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/datacard_570_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_570.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_570.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1272.290000   21478.000000   1272.290000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066152    -    -  
+JER      lnN     1.016393    -    -  
+JEC      lnN     1.006447    -    -  
+trigger      lnN     1.068883    -    -  
+PDF      lnN     1.022394    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.002531 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..8b2df1f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-mKe3sI.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.43552e-13  -1.43552e-13/+0.00869819  (68% CL)
+nll S+B -> -0.00225494  nll B -> -0.00225498
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..fd4b191
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.065918
+Sigma  for expected limits: 0.0336322
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1188.38 (r = 4.761e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1136.12 (r = 8.6642e-05)
+At r = 1.200000:	q_mu = 289.21107	q_A  = 250.25258	CLsb = 0.00000	CLb  = 0.10910	CLs  = 0.00000
+At r = 0.600000:	q_mu = 152.35748	q_A  = 123.47695	CLsb = 0.00000	CLb  = 0.09688	CLs  = 0.00000
+At r = 0.300000:	q_mu = 71.69991	q_A  = 51.10543	CLsb = 0.00000	CLb  = 0.07488	CLs  = 0.00000
+At r = 0.150000:	q_mu = 30.32460	q_A  = 17.28453	CLsb = 0.00000	CLb  = 0.05841	CLs  = 0.00000
+At r = 0.075000:	q_mu = 12.31370	q_A  = 4.96098	CLsb = 0.00005	CLb  = 0.04941	CLs  = 0.00107
+At r = 0.037500:	q_mu = 5.16262	q_A  = 1.30415	CLsb = 0.00232	CLb  = 0.04558	CLs  = 0.05085
+At r = 0.056250:	q_mu = 8.52787	q_A  = 2.86864	CLsb = 0.00038	CLb  = 0.04739	CLs  = 0.00809
+At r = 0.046875:	q_mu = 6.78790	q_A  = 2.01625	CLsb = 0.00097	CLb  = 0.04646	CLs  = 0.02082
+At r = 0.039517:	q_mu = 5.50209	q_A  = 1.44510	CLsb = 0.00193	CLb  = 0.04576	CLs  = 0.04215
+At r = 0.038049:	q_mu = 5.25456	q_A  = 1.34193	CLsb = 0.00221	CLb  = 0.04563	CLs  = 0.04833
+At r = 0.037755:	q_mu = 5.20545	q_A  = 1.32178	CLsb = 0.00226	CLb  = 0.04561	CLs  = 0.04966
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0378
+Expected  2.5%: r < 0.0348
+Expected 16.0%: r < 0.0469
+Expected 50.0%: r < 0.0659
+Expected 84.0%: r < 0.0930
+Expected 97.5%: r < 0.1278
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt
new file mode 100644
index 0000000..736a965
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_580.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_580.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1304.750000   21478.000000   1304.750000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066413    -    -  
+JER      lnN     1.016291    -    -  
+JEC      lnN     1.005265    -    -  
+trigger      lnN     1.068343    -    -  
+PDF      lnN     1.022485    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.000806 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..3940761
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-ZQnrGa.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.63811e-10  -4.63811e-10/+0.0108147  (68% CL)
+nll S+B -> -0.000664601  nll B -> -0.000664615
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ca716d3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0600586
+Sigma  for expected limits: 0.0306427
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1301.16 (r = 1.3578e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1251.93 (r = 0.00038971)
+At r = 1.200000:	q_mu = 304.62073	q_A  = 274.72218	CLsb = 0.00000	CLb  = 0.18355	CLs  = 0.00000
+At r = 0.600000:	q_mu = 158.79616	q_A  = 137.32520	CLsb = 0.00000	CLb  = 0.17981	CLs  = 0.00000
+At r = 0.300000:	q_mu = 73.75133	q_A  = 58.35062	CLsb = 0.00000	CLb  = 0.15671	CLs  = 0.00000
+At r = 0.150000:	q_mu = 30.08174	q_A  = 20.24877	CLsb = 0.00000	CLb  = 0.13729	CLs  = 0.00000
+At r = 0.075000:	q_mu = 11.47250	q_A  = 5.89742	CLsb = 0.00017	CLb  = 0.12551	CLs  = 0.00139
+At r = 0.037500:	q_mu = 4.47819	q_A  = 1.55014	CLsb = 0.00774	CLb  = 0.11982	CLs  = 0.06460
+At r = 0.056250:	q_mu = 7.71014	q_A  = 3.41579	CLsb = 0.00131	CLb  = 0.12266	CLs  = 0.01065
+At r = 0.046875:	q_mu = 6.02163	q_A  = 2.40029	CLsb = 0.00328	CLb  = 0.12126	CLs  = 0.02708
+At r = 0.041585:	q_mu = 5.13211	q_A  = 1.89957	CLsb = 0.00537	CLb  = 0.12046	CLs  = 0.04459
+At r = 0.039759:	q_mu = 4.83634	q_A  = 1.73949	CLsb = 0.00633	CLb  = 0.12019	CLs  = 0.05271
+At r = 0.040585:	q_mu = 4.96931	q_A  = 1.81101	CLsb = 0.00588	CLb  = 0.12031	CLs  = 0.04889
+At r = 0.040222:	q_mu = 4.91067	q_A  = 1.77937	CLsb = 0.00608	CLb  = 0.12025	CLs  = 0.05053
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0402
+Expected  2.5%: r < 0.0324
+Expected 16.0%: r < 0.0423
+Expected 50.0%: r < 0.0601
+Expected 84.0%: r < 0.0845
+Expected 97.5%: r < 0.1163
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt
new file mode 100644
index 0000000..670604a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_590.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_590.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1337.210000   21478.000000   1337.210000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.066677    -    -  
+JER      lnN     1.016240    -    -  
+JEC      lnN     1.004023    -    -  
+trigger      lnN     1.067782    -    -  
+PDF      lnN     1.022564    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.000813 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..43f6e02
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-7J6MSn.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.2445e-11  -1.2445e-11/+0.0108999  (68% CL)
+nll S+B -> -0.00293027  nll B -> -0.00293031
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..21aa86b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0522461
+Sigma  for expected limits: 0.0266567
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1441.21 (r = 3.04823e-11)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1396.69 (r = 0.00053395)
+At r = 1.200000:	q_mu = 339.65190	q_A  = 312.57086	CLsb = 0.00000	CLb  = 0.22187	CLs  = 0.00000
+At r = 0.600000:	q_mu = 177.00774	q_A  = 158.15833	CLsb = 0.00000	CLb  = 0.22680	CLs  = 0.00000
+At r = 0.300000:	q_mu = 83.61558	q_A  = 69.84555	CLsb = 0.00000	CLb  = 0.20502	CLs  = 0.00000
+At r = 0.150000:	q_mu = 34.26860	q_A  = 25.26589	CLsb = 0.00000	CLb  = 0.18525	CLs  = 0.00000
+At r = 0.075000:	q_mu = 12.79232	q_A  = 7.58198	CLsb = 0.00011	CLb  = 0.17204	CLs  = 0.00063
+At r = 0.037500:	q_mu = 4.78123	q_A  = 2.01564	CLsb = 0.00834	CLb  = 0.16503	CLs  = 0.05053
+At r = 0.056250:	q_mu = 8.45729	q_A  = 4.42149	CLsb = 0.00110	CLb  = 0.16861	CLs  = 0.00651
+At r = 0.046875:	q_mu = 6.52767	q_A  = 3.11544	CLsb = 0.00315	CLb  = 0.16687	CLs  = 0.01888
+At r = 0.039456:	q_mu = 5.12946	q_A  = 2.22717	CLsb = 0.00686	CLb  = 0.16543	CLs  = 0.04144
+At r = 0.037975:	q_mu = 4.86507	q_A  = 2.06624	CLsb = 0.00795	CLb  = 0.16514	CLs  = 0.04817
+At r = 0.037679:	q_mu = 4.81289	q_A  = 2.03460	CLsb = 0.00819	CLb  = 0.16506	CLs  = 0.04963
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0377
+Expected  2.5%: r < 0.0282
+Expected 16.0%: r < 0.0376
+Expected 50.0%: r < 0.0522
+Expected 84.0%: r < 0.0743
+Expected 97.5%: r < 0.1017
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt
new file mode 100644
index 0000000..076763b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_600.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1369.67 21478	1369.67
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06695    -	-
+JER       lnN     1.01623   - 	-
+JEC       lnN     1.00303   -	-
+trigger   lnN     1.06723   -   -
+PDF       lnN     1.02263746575   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.002
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..fc8bfc1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-njhj0I.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.06338e-11  -4.06338e-11/+0.00943798  (68% CL)
+nll S+B -> -0.00602164  nll B -> -0.00602167
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6bebef2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out
@@ -0,0 +1,43 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0444336
+Sigma  for expected limits: 0.0226706
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1565.84 (r = 1.88326e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1524.35 (r = 0.000269459)
+At r = 1.200000:	q_mu = 383.27504	q_A  = 356.28194	CLsb = 0.00000	CLb  = 0.23729	CLs  = 0.00000
+At r = 0.600000:	q_mu = 200.48912	q_A  = 181.83795	CLsb = 0.00000	CLb  = 0.24460	CLs  = 0.00000
+At r = 0.300000:	q_mu = 97.70625	q_A  = 83.72163	CLsb = 0.00000	CLb  = 0.22238	CLs  = 0.00000
+At r = 0.150000:	q_mu = 41.31857	q_A  = 31.82998	CLsb = 0.00000	CLb  = 0.20020	CLs  = 0.00000
+At r = 0.075000:	q_mu = 15.68304	q_A  = 9.98690	CLsb = 0.00002	CLb  = 0.18373	CLs  = 0.00013
+At r = 0.037500:	q_mu = 5.83477	q_A  = 2.73748	CLsb = 0.00479	CLb  = 0.17464	CLs  = 0.02744
+At r = 0.018750:	q_mu = 2.29913	q_A  = 0.69945	CLsb = 0.03651	CLb  = 0.16944	CLs  = 0.21547
+At r = 0.028125:	q_mu = 3.92679	q_A  = 1.56312	CLsb = 0.01406	CLb  = 0.17226	CLs  = 0.08164
+At r = 0.033372:	q_mu = 4.96206	q_A  = 2.18385	CLsb = 0.00781	CLb  = 0.17361	CLs  = 0.04497
+At r = 0.031577:	q_mu = 4.59850	q_A  = 1.96105	CLsb = 0.00959	CLb  = 0.17317	CLs  = 0.05537
+At r = 0.032640:	q_mu = 4.81265	q_A  = 2.09163	CLsb = 0.00849	CLb  = 0.17343	CLs  = 0.04898
+At r = 0.032284:	q_mu = 4.74055	q_A  = 2.04747	CLsb = 0.00885	CLb  = 0.17334	CLs  = 0.05104
+At r = 0.032498:	q_mu = 4.78371	q_A  = 2.07389	CLsb = 0.00863	CLb  = 0.17339	CLs  = 0.04980
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0325
+Expected  2.5%: r < 0.0240
+Expected 16.0%: r < 0.0320
+Expected 50.0%: r < 0.0444
+Expected 84.0%: r < 0.0639
+Expected 97.5%: r < 0.0876
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt
new file mode 100644
index 0000000..cedad6f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_610.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_610.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1384.608000   21478.000000   1384.608000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067236    -    -  
+JER      lnN     1.016249    -    -  
+JEC      lnN     1.002526    -    -  
+trigger      lnN     1.066713    -    -  
+PDF      lnN     1.022713    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.002509 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..34c77ee
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-Yob3gR.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.030
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.75177e-12  -1.75177e-12/+0.0077258  (68% CL)
+nll S+B -> -0.00862239  nll B -> -0.00862241
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e2c9aa1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0375977
+Sigma  for expected limits: 0.0191828
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1698.04 (r = 2.122e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1659.35 (r = 8.39057e-07)
+At r = 1.200000:	q_mu = 433.83080	q_A  = 406.31160	CLsb = 0.00000	CLb  = 0.24742	CLs  = 0.00000
+At r = 0.600000:	q_mu = 228.17097	q_A  = 208.81302	CLsb = 0.00000	CLb  = 0.25149	CLs  = 0.00000
+At r = 0.300000:	q_mu = 114.70582	q_A  = 100.02242	CLsb = 0.00000	CLb  = 0.23145	CLs  = 0.00000
+At r = 0.150000:	q_mu = 50.45336	q_A  = 40.09117	CLsb = 0.00000	CLb  = 0.20660	CLs  = 0.00000
+At r = 0.075000:	q_mu = 19.76042	q_A  = 13.27036	CLsb = 0.00000	CLb  = 0.18652	CLs  = 0.00002
+At r = 0.037500:	q_mu = 7.44283	q_A  = 3.79955	CLsb = 0.00196	CLb  = 0.17501	CLs  = 0.01123
+At r = 0.018750:	q_mu = 2.92646	q_A  = 1.01165	CLsb = 0.02513	CLb  = 0.17058	CLs  = 0.14734
+At r = 0.028125:	q_mu = 5.01016	q_A  = 2.20541	CLsb = 0.00756	CLb  = 0.17250	CLs  = 0.04384
+At r = 0.025436:	q_mu = 4.37474	q_A  = 1.82006	CLsb = 0.01084	CLb  = 0.17187	CLs  = 0.06308
+At r = 0.026810:	q_mu = 4.69581	q_A  = 2.01288	CLsb = 0.00903	CLb  = 0.17220	CLs  = 0.05246
+At r = 0.027354:	q_mu = 4.82521	q_A  = 2.09177	CLsb = 0.00840	CLb  = 0.17233	CLs  = 0.04871
+At r = 0.027092:	q_mu = 4.76268	q_A  = 2.05355	CLsb = 0.00870	CLb  = 0.17227	CLs  = 0.05049
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0271
+Expected  2.5%: r < 0.0197
+Expected 16.0%: r < 0.0267
+Expected 50.0%: r < 0.0376
+Expected 84.0%: r < 0.0541
+Expected 97.5%: r < 0.0743
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt
new file mode 100644
index 0000000..56f0a91
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_620.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_620.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1399.546000   21478.000000   1399.546000 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067535    -    -  
+JER      lnN     1.016289    -    -  
+JEC      lnN     1.002471    -    -  
+trigger      lnN     1.066228    -    -  
+PDF      lnN     1.022791    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.002412 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt
new file mode 100644
index 0000000..2f7c449
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_650.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_285_625.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_285_625.root      HbbHbb:data_obs_novo_285_625
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1444.36 21478	1444.36
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06847    -	-
+JER       lnN     1.01649   - 	-
+JEC       lnN     1.00387   -	-
+trigger   lnN     1.0648885684   -   -
+PDF       lnN     1.02303488549   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 
+par_novo_0   param   150.156 5.29728
+par_novo_1   param   28.8835 4.43805
+par_novo_2   param   -1.27624 0.0948088
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..e9c5251
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-YE0Xhr.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.147503  -0.147503/+2.8525  (68% CL)
+nll S+B -> -0.00131631  nll B -> -0.000318429
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..96905d7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.09375
+Sigma  for expected limits: 3.61933
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.210642 (r = 0.139019)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.230908 (r = 0.00714918)
+At r = 41.734895:	q_mu = 63.05196	q_A  = 62.18544	CLsb = 0.00000	CLb  = 0.47809	CLs  = 0.00000
+At r = 20.936957:	q_mu = 24.26738	q_A  = 23.98776	CLsb = 0.00000	CLb  = 0.48861	CLs  = 0.00000
+At r = 10.537988:	q_mu = 7.80862	q_A  = 7.80020	CLsb = 0.00260	CLb  = 0.49940	CLs  = 0.00521
+At r = 5.338503:	q_mu = 2.20503	q_A  = 2.26213	CLsb = 0.06878	CLb  = 0.50762	CLs  = 0.13550
+At r = 7.938245:	q_mu = 4.67631	q_A  = 4.71128	CLsb = 0.01529	CLb  = 0.50322	CLs  = 0.03039
+At r = 6.725412:	q_mu = 3.43071	q_A  = 3.47923	CLsb = 0.03200	CLb  = 0.50521	CLs  = 0.06333
+At r = 7.280294:	q_mu = 3.98157	q_A  = 4.02449	CLsb = 0.02300	CLb  = 0.50428	CLs  = 0.04561
+At r = 7.045072:	q_mu = 3.74400	q_A  = 3.78942	CLsb = 0.02650	CLb  = 0.50467	CLs  = 0.05251
+At r = 7.157499:	q_mu = 3.85682	q_A  = 3.90107	CLsb = 0.02477	CLb  = 0.50448	CLs  = 0.04910
+At r = 7.110742:	q_mu = 3.80973	q_A  = 3.85447	CLsb = 0.02548	CLb  = 0.50456	CLs  = 0.05050
+At r = 7.133290:	q_mu = 3.83241	q_A  = 3.87691	CLsb = 0.02514	CLb  = 0.50452	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.1333
+Expected  2.5%: r < 3.6993
+Expected 16.0%: r < 5.0120
+Expected 50.0%: r < 7.0938
+Expected 84.0%: r < 10.2324
+Expected 97.5%: r < 14.2629
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
new file mode 100644
index 0000000..1d5f772
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1000.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  3.85006 1443	3.85006
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.08075    -	-
+JER       lnN     1.00831   - 	-
+JEC       lnN     1.00454   -	-
+trigger   lnN     1.0573539334   -       -
+PDF       lnN     1.03835416871   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.063
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..6af1852
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-sxzJVt.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.95149e-07  -1.95149e-07/+1.25477  (68% CL)
+nll S+B -> -0.000932278  nll B -> -0.000932345
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..f97f215
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.28125
+Sigma  for expected limits: 3.71499
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.923115 (r = 5.70768e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.260797 (r = 9.28604e-06)
+At r = 4.166657:	q_mu = 4.05042	q_A  = 1.34698	CLsb = 0.01003	CLb  = 0.12207	CLs  = 0.08215
+At r = 8.333314:	q_mu = 9.82967	q_A  = 4.87999	CLsb = 0.00044	CLb  = 0.13129	CLs  = 0.00331
+At r = 4.166657:	q_mu = 4.05043	q_A  = 1.34698	CLsb = 0.01003	CLb  = 0.12207	CLs  = 0.08215
+At r = 6.249985:	q_mu = 6.77122	q_A  = 2.88843	CLsb = 0.00224	CLb  = 0.12666	CLs  = 0.01771
+At r = 5.122572:	q_mu = 5.25147	q_A  = 1.99251	CLsb = 0.00514	CLb  = 0.12417	CLs  = 0.04143
+At r = 4.721405:	q_mu = 4.73759	q_A  = 1.70891	CLsb = 0.00684	CLb  = 0.12335	CLs  = 0.05544
+At r = 4.915404:	q_mu = 4.98412	q_A  = 1.84349	CLsb = 0.00596	CLb  = 0.12373	CLs  = 0.04820
+At r = 4.835882:	q_mu = 4.88260	q_A  = 1.78768	CLsb = 0.00631	CLb  = 0.12356	CLs  = 0.05105
+At r = 4.874834:	q_mu = 4.93224	q_A  = 1.81490	CLsb = 0.00614	CLb  = 0.12364	CLs  = 0.04964
+At r = 4.858967:	q_mu = 4.91199	q_A  = 1.80377	CLsb = 0.00621	CLb  = 0.12360	CLs  = 0.05021
+
+ -- Asymptotic -- 
+Observed Limit: r < 4.8590
+Expected  2.5%: r < 3.7971
+Expected 16.0%: r < 5.1445
+Expected 50.0%: r < 7.2812
+Expected 84.0%: r < 10.5609
+Expected 97.5%: r < 14.7678
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt
new file mode 100644
index 0000000..3e28fac
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1050.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1050.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.629505   1443.000000   3.629505 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.082060    -    -  
+JER      lnN     1.007739    -    -  
+JEC      lnN     1.003494    -    -  
+trigger      lnN     1.057102    -    -  
+PDF      lnN     1.039471    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.100397 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..8a9dc24
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-oCxMkH.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.49725e-07  -1.49725e-07/+1.80033  (68% CL)
+nll S+B -> -0.0006222  nll B -> -0.000622291
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ce37002
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.046226 (0.002311 times rMax), while it should be at zero
+Median for expected limits: 7.96875
+Sigma  for expected limits: 4.06576
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.699386 (r = 4.785e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.282978 (r = 0.000126511)
+At r = 6.305859:	q_mu = 4.91496	q_A  = 2.48968	CLsb = 0.00948	CLb  = 0.22109	CLs  = 0.04287
+At r = 3.152932:	q_mu = 1.97023	q_A  = 0.65776	CLsb = 0.05260	CLb  = 0.20921	CLs  = 0.25141
+At r = 4.729396:	q_mu = 3.33806	q_A  = 1.44455	CLsb = 0.02332	CLb  = 0.21543	CLs  = 0.10823
+At r = 5.781037:	q_mu = 4.36872	q_A  = 2.11515	CLsb = 0.01290	CLb  = 0.21924	CLs  = 0.05885
+At r = 5.997030:	q_mu = 4.59164	q_A  = 2.26677	CLsb = 0.01137	CLb  = 0.22003	CLs  = 0.05169
+At r = 6.102670:	q_mu = 4.70108	q_A  = 2.34166	CLsb = 0.01069	CLb  = 0.22037	CLs  = 0.04851
+At r = 6.041295:	q_mu = 4.63713	q_A  = 2.29776	CLsb = 0.01108	CLb  = 0.22016	CLs  = 0.05034
+At r = 6.062658:	q_mu = 4.65934	q_A  = 2.31298	CLsb = 0.01095	CLb  = 0.22024	CLs  = 0.04970
+At r = 6.050399:	q_mu = 4.64658	q_A  = 2.30423	CLsb = 0.01102	CLb  = 0.22019	CLs  = 0.05007
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.0504
+Expected  2.5%: r < 4.1556
+Expected 16.0%: r < 5.6004
+Expected 50.0%: r < 7.9688
+Expected 84.0%: r < 11.5581
+Expected 97.5%: r < 16.1622
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt
new file mode 100644
index 0000000..f693aef
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1100.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1100.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.408950   1443.000000   3.408950 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.083083    -    -  
+JER      lnN     1.008962    -    -  
+JEC      lnN     1.005448    -    -  
+trigger      lnN     1.057066    -    -  
+PDF      lnN     1.036784    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.112168 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..1586b1f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-9jw0zk.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -2.10277/+1.48375e-07  (68% CL)
+nll S+B -> -0.84585  nll B -> -0.00141303
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d7ec204
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.046073 (0.002304 times rMax), while it should be at zero
+Median for expected limits: 7.03125
+Sigma  for expected limits: 3.58744
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.524391 (r = 4.4283)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.359387 (r = 0.0580577)
+At r = 14.484961:	q_mu = 6.85388	q_A  = 13.53639	CLsb = 0.00442	CLb  = 0.85570	CLs  = 0.00517
+At r = 9.456628:	q_mu = 1.95839	q_A  = 6.53765	CLsb = 0.08084	CLb  = 0.87646	CLs  = 0.09224
+At r = 11.970794:	q_mu = 4.12206	q_A  = 9.84446	CLsb = 0.02116	CLb  = 0.86592	CLs  = 0.02444
+At r = 10.886819:	q_mu = 3.11086	q_A  = 8.36497	CLsb = 0.03889	CLb  = 0.87044	CLs  = 0.04467
+At r = 10.423028:	q_mu = 2.71332	q_A  = 7.75594	CLsb = 0.04976	CLb  = 0.87238	CLs  = 0.05704
+At r = 10.622991:	q_mu = 2.88247	q_A  = 8.01700	CLsb = 0.04477	CLb  = 0.87153	CLs  = 0.05137
+At r = 10.716709:	q_mu = 2.96250	q_A  = 8.14059	CLsb = 0.04261	CLb  = 0.87118	CLs  = 0.04891
+At r = 10.664322:	q_mu = 2.91745	q_A  = 8.07138	CLsb = 0.04381	CLb  = 0.87138	CLs  = 0.05028
+
+ -- Asymptotic -- 
+Observed Limit: r < 10.6643
+Expected  2.5%: r < 3.6942
+Expected 16.0%: r < 4.9847
+Expected 50.0%: r < 7.0312
+Expected 84.0%: r < 10.1422
+Expected 97.5%: r < 14.2251
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt
new file mode 100644
index 0000000..ae79455
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1150.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1150.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.188395   1443.000000   3.188395 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.083914    -    -  
+JER      lnN     1.011382    -    -  
+JEC      lnN     1.009404    -    -  
+trigger      lnN     1.057174    -    -  
+PDF      lnN     1.031559    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.106855 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..24f14ef
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-1O39Xj.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.94672  -1.94672/+1.05328  (68% CL)
+nll S+B -> -0.250449  nll B -> -0.000618092
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..861aaf3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.54688
+Sigma  for expected limits: 2.83009
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.219765 (r = 1.94582)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.472313 (r = 0.0146962)
+At r = 10.114858:	q_mu = 6.32488	q_A  = 10.70003	CLsb = 0.00595	CLb  = 0.77522	CLs  = 0.00768
+At r = 6.030339:	q_mu = 1.81889	q_A  = 4.44885	CLsb = 0.08872	CLb  = 0.77654	CLs  = 0.11425
+At r = 8.072599:	q_mu = 3.81543	q_A  = 7.36517	CLsb = 0.02539	CLb  = 0.77654	CLs  = 0.03270
+At r = 7.109518:	q_mu = 2.80147	q_A  = 5.92936	CLsb = 0.04709	CLb  = 0.77675	CLs  = 0.06062
+At r = 7.542558:	q_mu = 3.24240	q_A  = 6.56261	CLsb = 0.03588	CLb  = 0.77670	CLs  = 0.04619
+At r = 7.355017:	q_mu = 3.04878	q_A  = 6.28610	CLsb = 0.04040	CLb  = 0.77671	CLs  = 0.05201
+At r = 7.442421:	q_mu = 3.13836	q_A  = 6.41443	CLsb = 0.03824	CLb  = 0.77671	CLs  = 0.04923
+At r = 7.405154:	q_mu = 3.09998	q_A  = 6.35957	CLsb = 0.03915	CLb  = 0.77671	CLs  = 0.05040
+At r = 7.422703:	q_mu = 3.11800	q_A  = 6.38536	CLsb = 0.03872	CLb  = 0.77671	CLs  = 0.04985
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.4227
+Expected  2.5%: r < 2.8709
+Expected 16.0%: r < 3.8849
+Expected 50.0%: r < 5.5469
+Expected 84.0%: r < 8.0895
+Expected 97.5%: r < 11.4840
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt
new file mode 100644
index 0000000..b43b801
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_1200.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_1200.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  2.96784 1443	2.96784
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.08465    -	-
+JER       lnN     1.0144   - 	-
+JEC       lnN     1.01436   -	-
+trigger   lnN     1.0573539334   -       -
+PDF       lnN     1.02506688669   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.093
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..63540be
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-CObeUn.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 2.99999  -2.99999/+9.14357e-06  (68% CL)
+nll S+B -> -0.0535203  nll B -> -0.000325304
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..5ce278a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.852289 (0.042614 times rMax), while it should be at zero
+Median for expected limits: 22.3125
+Sigma  for expected limits: 11.3841
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0998613 (r = 3.47038)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.172665 (r = 1.1436)
+At r = 32.533466:	q_mu = 6.67046	q_A  = 7.96513	CLsb = 0.00490	CLb  = 0.59465	CLs  = 0.00824
+At r = 18.001925:	q_mu = 1.80784	q_A  = 2.49579	CLsb = 0.08938	CLb  = 0.59299	CLs  = 0.15073
+At r = 25.267696:	q_mu = 3.91778	q_A  = 4.91660	CLsb = 0.02389	CLb  = 0.59406	CLs  = 0.04021
+At r = 21.634810:	q_mu = 2.77455	q_A  = 3.61951	CLsb = 0.04789	CLb  = 0.59360	CLs  = 0.08067
+At r = 23.631785:	q_mu = 3.38215	q_A  = 4.31214	CLsb = 0.03295	CLb  = 0.59387	CLs  = 0.05549
+At r = 24.382324:	q_mu = 3.62411	q_A  = 4.58576	CLsb = 0.02847	CLb  = 0.59395	CLs  = 0.04794
+At r = 24.059442:	q_mu = 3.51909	q_A  = 4.46713	CLsb = 0.03033	CLb  = 0.59392	CLs  = 0.05107
+At r = 24.210619:	q_mu = 3.56805	q_A  = 4.52247	CLsb = 0.02945	CLb  = 0.59394	CLs  = 0.04959
+At r = 24.146316:	q_mu = 3.54717	q_A  = 4.49887	CLsb = 0.02982	CLb  = 0.59393	CLs  = 0.05021
+
+ -- Asymptotic -- 
+Observed Limit: r < 24.1463
+Expected  2.5%: r < 12.3329
+Expected 16.0%: r < 16.1532
+Expected 50.0%: r < 22.3125
+Expected 84.0%: r < 31.2953
+Expected 97.5%: r < 42.8611
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
new file mode 100644
index 0000000..22b36b3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_550.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  1.76851 1443	1.76851
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06501    -	-
+JER       lnN     1.01835   - 	-
+JEC       lnN     1.03168   -	-
+trigger   lnN     1.0697740714   -       -
+PDF       lnN     1.02213999321   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.121
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..51bef2e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-DCxWcy.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -3/+6.08127e-08  (68% CL)
+nll S+B -> -0.274933  nll B -> -0.00037626
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c261550
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 22.6875
+Sigma  for expected limits: 11.5755
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.29609 (r = 12.9224)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.213106 (r = 0.0013257)
+At r = 47.390711:	q_mu = 7.53506	q_A  = 14.34208	CLsb = 0.00303	CLb  = 0.85131	CLs  = 0.00355
+At r = 30.156558:	q_mu = 2.09384	q_A  = 6.46977	CLsb = 0.07395	CLb  = 0.86358	CLs  = 0.08563
+At r = 38.773635:	q_mu = 4.47571	q_A  = 10.14138	CLsb = 0.01719	CLb  = 0.85746	CLs  = 0.02005
+At r = 34.434354:	q_mu = 3.18197	q_A  = 8.21768	CLsb = 0.03723	CLb  = 0.86056	CLs  = 0.04326
+At r = 32.853022:	q_mu = 2.75701	q_A  = 7.55340	CLsb = 0.04841	CLb  = 0.86169	CLs  = 0.05619
+At r = 33.733696:	q_mu = 2.99087	q_A  = 7.92113	CLsb = 0.04187	CLb  = 0.86105	CLs  = 0.04862
+At r = 33.421561:	q_mu = 2.90698	q_A  = 7.78999	CLsb = 0.04410	CLb  = 0.86128	CLs  = 0.05120
+At r = 33.598777:	q_mu = 2.95444	q_A  = 7.86431	CLsb = 0.04282	CLb  = 0.86115	CLs  = 0.04973
+
+ -- Asymptotic -- 
+Observed Limit: r < 33.5988
+Expected  2.5%: r < 11.9198
+Expected 16.0%: r < 16.0839
+Expected 50.0%: r < 22.6875
+Expected 84.0%: r < 32.5447
+Expected 97.5%: r < 44.9302
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
new file mode 100644
index 0000000..31dbca1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_570.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_570.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            1.944130   1443.000000   1.944130 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.065792    -    -  
+JER      lnN     1.018356    -    -  
+JEC      lnN     1.029523    -    -  
+trigger      lnN     1.068784    -    -  
+PDF      lnN     1.022346    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.103873 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..588f6df
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-HAK6XO.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 7.01913e-06  -7.01913e-06/+2.99999  (68% CL)
+nll S+B -> -0.000320582  nll B -> -0.000320695
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..be83b2a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.222329 (0.011116 times rMax), while it should be at zero
+Median for expected limits: 19.8125
+Sigma  for expected limits: 10.1086
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.32986 (r = 4.41047e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.160612 (r = 0.248848)
+At r = 92.474877:	q_mu = 52.06770	q_A  = 49.66826	CLsb = 0.00000	CLb  = 0.43241	CLs  = 0.00000
+At r = 46.237440:	q_mu = 19.37494	q_A  = 17.43241	CLsb = 0.00001	CLb  = 0.40803	CLs  = 0.00001
+At r = 23.118722:	q_mu = 6.45664	q_A  = 5.15450	CLsb = 0.00528	CLb  = 0.38714	CLs  = 0.01363
+At r = 11.559363:	q_mu = 2.12025	q_A  = 1.36351	CLsb = 0.06789	CLb  = 0.37296	CLs  = 0.18202
+At r = 17.339043:	q_mu = 4.05205	q_A  = 2.99851	CLsb = 0.02088	CLb  = 0.38049	CLs  = 0.05489
+At r = 20.228883:	q_mu = 5.20025	q_A  = 4.01679	CLsb = 0.01074	CLb  = 0.38390	CLs  = 0.02798
+At r = 18.236939:	q_mu = 4.39663	q_A  = 3.30146	CLsb = 0.01707	CLb  = 0.38157	CLs  = 0.04474
+At r = 17.846438:	q_mu = 4.24546	q_A  = 3.16826	CLsb = 0.01865	CLb  = 0.38110	CLs  = 0.04893
+At r = 17.668347:	q_mu = 4.17727	q_A  = 3.10834	CLsb = 0.01940	CLb  = 0.38089	CLs  = 0.05095
+At r = 17.770015:	q_mu = 4.21613	q_A  = 3.14247	CLsb = 0.01897	CLb  = 0.38101	CLs  = 0.04979
+At r = 17.734484:	q_mu = 4.20253	q_A  = 3.13052	CLsb = 0.01912	CLb  = 0.38097	CLs  = 0.05019
+
+ -- Asymptotic -- 
+Observed Limit: r < 17.7345
+Expected  2.5%: r < 10.4867
+Expected 16.0%: r < 14.0567
+Expected 50.0%: r < 19.8125
+Expected 84.0%: r < 28.2627
+Expected 97.5%: r < 38.8824
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
new file mode 100644
index 0000000..32226a7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_600.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  2.20756 1443	2.20756
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06685    -	-
+JER       lnN     1.01758   - 	-
+JEC       lnN     1.0267   -	-
+trigger   lnN     1.06723   -       -
+PDF       lnN     1.02263746575   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 0.065
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..f649a95
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-hZTAMI.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -3/+1.07146e-07  (68% CL)
+nll S+B -> -0.0840843  nll B -> -0.000318754
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..5d91a18
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.064542 (0.003227 times rMax), while it should be at zero
+Median for expected limits: 17.5625
+Sigma  for expected limits: 8.96062
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0273718 (r = 3.4271)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.14862 (r = 0.0426501)
+At r = 26.289981:	q_mu = 6.20546	q_A  = 8.03397	CLsb = 0.00637	CLb  = 0.63433	CLs  = 0.01004
+At r = 14.858539:	q_mu = 1.70807	q_A  = 2.81092	CLsb = 0.09562	CLb  = 0.64418	CLs  = 0.14843
+At r = 20.574260:	q_mu = 3.66798	q_A  = 5.15876	CLsb = 0.02773	CLb  = 0.63911	CLs  = 0.04339
+At r = 18.904242:	q_mu = 3.03096	q_A  = 4.41383	CLsb = 0.04084	CLb  = 0.64056	CLs  = 0.06376
+At r = 19.748363:	q_mu = 3.34648	q_A  = 4.78445	CLsb = 0.03367	CLb  = 0.63983	CLs  = 0.05263
+At r = 20.089084:	q_mu = 3.47760	q_A  = 4.93749	CLsb = 0.03110	CLb  = 0.63953	CLs  = 0.04863
+At r = 19.925283:	q_mu = 3.41429	q_A  = 4.86367	CLsb = 0.03232	CLb  = 0.63968	CLs  = 0.05052
+At r = 19.993705:	q_mu = 3.44068	q_A  = 4.89445	CLsb = 0.03180	CLb  = 0.63962	CLs  = 0.04972
+
+ -- Asymptotic -- 
+Observed Limit: r < 19.9937
+Expected  2.5%: r < 9.2272
+Expected 16.0%: r < 12.4506
+Expected 50.0%: r < 17.5625
+Expected 84.0%: r < 25.1930
+Expected 97.5%: r < 34.7807
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
new file mode 100644
index 0000000..670c57a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_620.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_620.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            2.333008   1443.000000   2.333008 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.067433    -    -  
+JER      lnN     1.016197    -    -  
+JEC      lnN     1.025353    -    -  
+trigger      lnN     1.066147    -    -  
+PDF      lnN     1.022809    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.023567 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..7c700fc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-hjnGS5.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.66779e-08  -1.66779e-08/+2.32183  (68% CL)
+nll S+B -> -0.000362701  nll B -> -0.00036261
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e0bb95b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.067475 (0.003374 times rMax), while it should be at zero
+Median for expected limits: 15.4375
+Sigma  for expected limits: 7.87642
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.13315 (r = 1.9983e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.137323 (r = 0.0149591)
+At r = 7.585524:	q_mu = 3.80936	q_A  = 0.98082	CLsb = 0.00779	CLb  = 0.07664	CLs  = 0.10170
+At r = 15.171048:	q_mu = 9.03712	q_A  = 3.69742	CLsb = 0.00046	CLb  = 0.08250	CLs  = 0.00563
+At r = 7.585524:	q_mu = 3.80925	q_A  = 0.98083	CLsb = 0.00780	CLb  = 0.07665	CLs  = 0.10171
+At r = 11.378286:	q_mu = 6.27308	q_A  = 2.14739	CLsb = 0.00203	CLb  = 0.07961	CLs  = 0.02553
+At r = 9.144168:	q_mu = 4.78200	q_A  = 1.41036	CLsb = 0.00457	CLb  = 0.07787	CLs  = 0.05863
+At r = 9.933166:	q_mu = 5.29600	q_A  = 1.65472	CLsb = 0.00345	CLb  = 0.07848	CLs  = 0.04395
+At r = 9.492809:	q_mu = 5.00739	q_A  = 1.51616	CLsb = 0.00404	CLb  = 0.07814	CLs  = 0.05166
+At r = 9.651915:	q_mu = 5.11116	q_A  = 1.56558	CLsb = 0.00381	CLb  = 0.07827	CLs  = 0.04874
+At r = 9.564116:	q_mu = 5.05382	q_A  = 1.53821	CLsb = 0.00394	CLb  = 0.07820	CLs  = 0.05033
+At r = 9.595997:	q_mu = 5.07462	q_A  = 1.54812	CLsb = 0.00389	CLb  = 0.07822	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 9.5960
+Expected  2.5%: r < 8.1710
+Expected 16.0%: r < 10.9811
+Expected 50.0%: r < 15.4375
+Expected 84.0%: r < 22.1448
+Expected 97.5%: r < 30.7661
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
new file mode 100644
index 0000000..1cee687
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_650.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  2.52118 1443	2.52118
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.06833    -	-
+JER       lnN     1.01405   - 	-
+JEC       lnN     1.02443   -	-
+trigger   lnN     1.0648885684   -       -
+PDF       lnN     1.02303488549   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.053
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..487efca
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-SaR9oZ.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 5.20049e-11  -5.20049e-11/+1.28503  (68% CL)
+nll S+B -> -0.000397475  nll B -> -0.000396747
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..5220a11
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.020142 (0.001007 times rMax), while it should be at zero
+Median for expected limits: 14.3125
+Sigma  for expected limits: 7.30243
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 6.56595 (r = 3.0721e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.139688 (r = 0.00417938)
+At r = 3.645501:	q_mu = 2.93068	q_A  = 0.27478	CLsb = 0.00112	CLb  = 0.00565	CLs  = 0.19753
+At r = 7.291001:	q_mu = 6.21226	q_A  = 1.06500	CLsb = 0.00021	CLb  = 0.00632	CLs  = 0.03341
+At r = 3.645501:	q_mu = 2.93068	q_A  = 0.27478	CLsb = 0.00112	CLb  = 0.00565	CLs  = 0.19753
+At r = 5.468251:	q_mu = 4.53238	q_A  = 0.60875	CLsb = 0.00049	CLb  = 0.00596	CLs  = 0.08265
+At r = 6.277316:	q_mu = 5.26826	q_A  = 0.79680	CLsb = 0.00034	CLb  = 0.00613	CLs  = 0.05552
+At r = 6.647338:	q_mu = 5.61023	q_A  = 0.89077	CLsb = 0.00029	CLb  = 0.00621	CLs  = 0.04618
+At r = 6.445590:	q_mu = 5.42338	q_A  = 0.83886	CLsb = 0.00031	CLb  = 0.00616	CLs  = 0.05107
+At r = 6.519842:	q_mu = 5.49204	q_A  = 0.85775	CLsb = 0.00030	CLb  = 0.00618	CLs  = 0.04921
+At r = 6.479547:	q_mu = 5.45476	q_A  = 0.84745	CLsb = 0.00031	CLb  = 0.00617	CLs  = 0.05021
+At r = 6.494414:	q_mu = 5.46851	q_A  = 0.85124	CLsb = 0.00031	CLb  = 0.00617	CLs  = 0.04984
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.4944
+Expected  2.5%: r < 7.5197
+Expected 16.0%: r < 10.1466
+Expected 50.0%: r < 14.3125
+Expected 84.0%: r < 20.5310
+Expected 97.5%: r < 28.5240
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
new file mode 100644
index 0000000..5433ea2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_670.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_670.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            2.668268   1443.000000   2.668268 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.069092    -    -  
+JER      lnN     1.013467    -    -  
+JEC      lnN     1.024585    -    -  
+trigger      lnN     1.064548    -    -  
+PDF      lnN     1.023176    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.104617 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..5cf5c7f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-xZeslC.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.8356e-12  -3.8356e-12/+2.85436  (68% CL)
+nll S+B -> -0.000721358  nll B -> -0.00072136
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6c6e5e5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 13.0625
+Sigma  for expected limits: 6.66466
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.40867 (r = 4.94184e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.147155 (r = 4.57929e-05)
+At r = 7.391949:	q_mu = 3.27417	q_A  = 1.30873	CLsb = 0.02259	CLb  = 0.19516	CLs  = 0.11574
+At r = 14.783898:	q_mu = 8.51241	q_A  = 4.81702	CLsb = 0.00120	CLb  = 0.19993	CLs  = 0.00598
+At r = 7.391974:	q_mu = 3.27418	q_A  = 1.30874	CLsb = 0.02259	CLb  = 0.19516	CLs  = 0.11574
+At r = 11.087936:	q_mu = 5.68885	q_A  = 2.82685	CLsb = 0.00566	CLb  = 0.19735	CLs  = 0.02870
+At r = 9.171532:	q_mu = 4.38077	q_A  = 1.97583	CLsb = 0.01188	CLb  = 0.19615	CLs  = 0.06055
+At r = 9.947877:	q_mu = 4.89744	q_A  = 2.30530	CLsb = 0.00885	CLb  = 0.19666	CLs  = 0.04499
+At r = 9.571786:	q_mu = 4.64451	q_A  = 2.14270	CLsb = 0.01021	CLb  = 0.19640	CLs  = 0.05201
+At r = 9.728823:	q_mu = 4.74951	q_A  = 2.20990	CLsb = 0.00962	CLb  = 0.19650	CLs  = 0.04897
+At r = 9.653977:	q_mu = 4.69935	q_A  = 2.17774	CLsb = 0.00990	CLb  = 0.19645	CLs  = 0.05040
+At r = 9.685465:	q_mu = 4.72042	q_A  = 2.19123	CLsb = 0.00978	CLb  = 0.19647	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 9.6855
+Expected  2.5%: r < 6.8629
+Expected 16.0%: r < 9.2120
+Expected 50.0%: r < 13.0625
+Expected 84.0%: r < 18.7379
+Expected 97.5%: r < 26.0328
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt
new file mode 100644
index 0000000..570f116
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_700.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_700.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            2.888900   1443.000000   2.888900 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.070435    -    -  
+JER      lnN     1.013638    -    -  
+JEC      lnN     1.025033    -    -  
+trigger      lnN     1.064349    -    -  
+PDF      lnN     1.023441    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.169204 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..bc150d8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-SN3WLq.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -3/+2.51133e-06  (68% CL)
+nll S+B -> -0.151238  nll B -> -0.00134837
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..70f7481
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 12.2812
+Sigma  for expected limits: 6.26606
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.96854 (r = 3.23053)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.155656 (r = 0.00394496)
+At r = 20.804360:	q_mu = 7.05885	q_A  = 9.85528	CLsb = 0.00394	CLb  = 0.68526	CLs  = 0.00576
+At r = 12.017446:	q_mu = 1.97316	q_A  = 3.67759	CLsb = 0.08006	CLb  = 0.69603	CLs  = 0.11502
+At r = 16.410903:	q_mu = 4.20310	q_A  = 6.48958	CLsb = 0.02018	CLb  = 0.69052	CLs  = 0.02922
+At r = 14.154190:	q_mu = 2.97045	q_A  = 4.96755	CLsb = 0.04240	CLb  = 0.69333	CLs  = 0.06115
+At r = 15.097703:	q_mu = 3.46452	q_A  = 5.58501	CLsb = 0.03135	CLb  = 0.69215	CLs  = 0.04529
+At r = 14.660426:	q_mu = 3.23163	q_A  = 5.29569	CLsb = 0.03611	CLb  = 0.69272	CLs  = 0.05213
+At r = 14.851834:	q_mu = 3.33285	q_A  = 5.42151	CLsb = 0.03395	CLb  = 0.69245	CLs  = 0.04904
+At r = 14.764880:	q_mu = 3.28668	q_A  = 5.36419	CLsb = 0.03492	CLb  = 0.69257	CLs  = 0.05042
+At r = 14.803297:	q_mu = 3.30704	q_A  = 5.38948	CLsb = 0.03449	CLb  = 0.69252	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 14.8033
+Expected  2.5%: r < 6.4525
+Expected 16.0%: r < 8.6838
+Expected 50.0%: r < 12.2812
+Expected 84.0%: r < 17.7151
+Expected 97.5%: r < 24.5397
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt
new file mode 100644
index 0000000..966266d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_720.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_720.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.035988   1443.000000   3.035988 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.071378    -    -  
+JER      lnN     1.013968    -    -  
+JEC      lnN     1.024727    -    -  
+trigger      lnN     1.063997    -    -  
+PDF      lnN     1.023706    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.196071 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..cf68f05
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-dxHtQF.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -2.88132/+4.63975e-09  (68% CL)
+nll S+B -> -0.523075  nll B -> -0.00218838
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..34949f3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 11.3438
+Sigma  for expected limits: 5.78773
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.68855 (r = 6.94254)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.165843 (r = 0.003173)
+At r = 24.248580:	q_mu = 7.06852	q_A  = 14.65866	CLsb = 0.00392	CLb  = 0.87900	CLs  = 0.00446
+At r = 15.595559:	q_mu = 1.98736	q_A  = 6.83311	CLsb = 0.07931	CLb  = 0.88576	CLs  = 0.08954
+At r = 19.922070:	q_mu = 4.21907	q_A  = 10.50681	CLsb = 0.01999	CLb  = 0.88246	CLs  = 0.02265
+At r = 17.927932:	q_mu = 3.10503	q_A  = 8.74622	CLsb = 0.03903	CLb  = 0.88401	CLs  = 0.04415
+At r = 17.132876:	q_mu = 2.70052	q_A  = 8.07539	CLsb = 0.05016	CLb  = 0.88462	CLs  = 0.05670
+At r = 17.452444:	q_mu = 2.86060	q_A  = 8.34301	CLsb = 0.04539	CLb  = 0.88437	CLs  = 0.05132
+At r = 17.613422:	q_mu = 2.94221	q_A  = 8.47913	CLsb = 0.04315	CLb  = 0.88427	CLs  = 0.04879
+At r = 17.518942:	q_mu = 2.89404	q_A  = 8.39911	CLsb = 0.04445	CLb  = 0.88433	CLs  = 0.05027
+
+ -- Asymptotic -- 
+Observed Limit: r < 17.5189
+Expected  2.5%: r < 5.9599
+Expected 16.0%: r < 8.0419
+Expected 50.0%: r < 11.3438
+Expected 84.0%: r < 16.3628
+Expected 97.5%: r < 22.6665
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
new file mode 100644
index 0000000..203fd58
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_750.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  3.25662 1443	3.25662
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.07272    -	-
+JER       lnN     1.01396   - 	-
+JEC       lnN     1.02208   -	-
+trigger   lnN     1.0624078267   -       -
+PDF       lnN     1.02432019608   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.199
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..5eb1b81
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-WgrGIE.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -2.30171/+1.35991e-07  (68% CL)
+nll S+B -> -0.687721  nll B -> -0.00207933
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..58cb08d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.025041 (0.001252 times rMax), while it should be at zero
+Median for expected limits: 10.7188
+Sigma  for expected limits: 5.46885
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.48978 (r = 7.7411)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.169853 (r = 0.00378125)
+At r = 24.134142:	q_mu = 7.11427	q_A  = 16.12564	CLsb = 0.00382	CLb  = 0.91124	CLs  = 0.00420
+At r = 15.937621:	q_mu = 2.00459	q_A  = 7.92401	CLsb = 0.07841	CLb  = 0.91911	CLs  = 0.08531
+At r = 20.035882:	q_mu = 4.25017	q_A  = 11.79955	CLsb = 0.01962	CLb  = 0.91519	CLs  = 0.02144
+At r = 18.025749:	q_mu = 3.06250	q_A  = 9.83459	CLsb = 0.04006	CLb  = 0.91713	CLs  = 0.04368
+At r = 17.270860:	q_mu = 2.65833	q_A  = 9.12761	CLsb = 0.05150	CLb  = 0.91785	CLs  = 0.05611
+At r = 17.699937:	q_mu = 2.88574	q_A  = 9.52772	CLsb = 0.04468	CLb  = 0.91742	CLs  = 0.04871
+At r = 17.550528:	q_mu = 2.80552	q_A  = 9.38763	CLsb = 0.04697	CLb  = 0.91758	CLs  = 0.05119
+At r = 17.636899:	q_mu = 2.85174	q_A  = 9.46850	CLsb = 0.04564	CLb  = 0.91749	CLs  = 0.04974
+
+ -- Asymptotic -- 
+Observed Limit: r < 17.6369
+Expected  2.5%: r < 5.5897
+Expected 16.0%: r < 7.5531
+Expected 50.0%: r < 10.7188
+Expected 84.0%: r < 15.3758
+Expected 97.5%: r < 21.2274
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt
new file mode 100644
index 0000000..d32016d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_770.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_770.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.370148   1443.000000   3.370148 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.073494    -    -  
+JER      lnN     1.013282    -    -  
+JEC      lnN     1.018450    -    -  
+trigger      lnN     1.060398    -    -  
+PDF      lnN     1.024888    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.172079 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..1727afa
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-hVS8oQ.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3  -3/+1.38947e-07  (68% CL)
+nll S+B -> -0.390829  nll B -> -0.00118109
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c9995e2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.90625
+Sigma  for expected limits: 5.0543
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.86048 (r = 4.54466)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.16756 (r = 0.000753632)
+At r = 19.113986:	q_mu = 6.99479	q_A  = 12.48890	CLsb = 0.00409	CLb  = 0.81305	CLs  = 0.00503
+At r = 11.829324:	q_mu = 1.94808	q_A  = 5.34524	CLsb = 0.08140	CLb  = 0.82023	CLs  = 0.09924
+At r = 15.471655:	q_mu = 4.15768	q_A  = 8.65511	CLsb = 0.02072	CLb  = 0.81672	CLs  = 0.02537
+At r = 13.293924:	q_mu = 2.75223	q_A  = 6.60474	CLsb = 0.04856	CLb  = 0.81885	CLs  = 0.05930
+At r = 14.079618:	q_mu = 3.23161	q_A  = 7.32118	CLsb = 0.03611	CLb  = 0.81809	CLs  = 0.04415
+At r = 13.657273:	q_mu = 2.97057	q_A  = 6.93320	CLsb = 0.04240	CLb  = 0.81847	CLs  = 0.05180
+At r = 13.816441:	q_mu = 3.06769	q_A  = 7.07836	CLsb = 0.03993	CLb  = 0.81833	CLs  = 0.04880
+At r = 13.732639:	q_mu = 3.01634	q_A  = 7.00175	CLsb = 0.04121	CLb  = 0.81841	CLs  = 0.05036
+At r = 13.764627:	q_mu = 3.03588	q_A  = 7.03094	CLsb = 0.04072	CLb  = 0.81838	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 13.7646
+Expected  2.5%: r < 5.2047
+Expected 16.0%: r < 6.9861
+Expected 50.0%: r < 9.9062
+Expected 84.0%: r < 14.2103
+Expected 97.5%: r < 19.6183
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
new file mode 100644
index 0000000..07dfe6d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_800.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  3.54044 1443	3.54044
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.0745    -	-
+JER       lnN     1.01211   - 	-
+JEC       lnN     1.0129   -	-
+trigger   lnN     1.0573539334   -       -
+PDF       lnN     1.02563135345   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.118
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..8f036da
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-czMtsS.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.000
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.13062  -1.13062/+1.86938  (68% CL)
+nll S+B -> -0.0307151  nll B -> -0.000773809
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..3c67090
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.40625
+Sigma  for expected limits: 4.7992
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.92843 (r = 1.1312)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.16515 (r = 0.000830782)
+At r = 14.272387:	q_mu = 6.69158	q_A  = 8.19180	CLsb = 0.00484	CLb  = 0.60847	CLs  = 0.00796
+At r = 7.701796:	q_mu = 1.84678	q_A  = 2.65107	CLsb = 0.08708	CLb  = 0.60613	CLs  = 0.14366
+At r = 10.987092:	q_mu = 3.96037	q_A  = 5.12112	CLsb = 0.02329	CLb  = 0.60754	CLs  = 0.03834
+At r = 9.801635:	q_mu = 3.11980	q_A  = 4.15367	CLsb = 0.03867	CLb  = 0.60710	CLs  = 0.06370
+At r = 10.491054:	q_mu = 3.59853	q_A  = 4.70645	CLsb = 0.02892	CLb  = 0.60736	CLs  = 0.04761
+At r = 10.260323:	q_mu = 3.43534	q_A  = 4.51854	CLsb = 0.03191	CLb  = 0.60727	CLs  = 0.05254
+At r = 10.353154:	q_mu = 3.50056	q_A  = 4.59372	CLsb = 0.03067	CLb  = 0.60731	CLs  = 0.05051
+At r = 10.399588:	q_mu = 3.53341	q_A  = 4.63154	CLsb = 0.03007	CLb  = 0.60733	CLs  = 0.04952
+At r = 10.372064:	q_mu = 3.51392	q_A  = 4.60911	CLsb = 0.03043	CLb  = 0.60732	CLs  = 0.05010
+
+ -- Asymptotic -- 
+Observed Limit: r < 10.3721
+Expected  2.5%: r < 4.9052
+Expected 16.0%: r < 6.6458
+Expected 50.0%: r < 9.4062
+Expected 84.0%: r < 13.4931
+Expected 97.5%: r < 18.7461
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt
new file mode 100644
index 0000000..af64d0b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_820.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_820.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.566236   1443.000000   3.566236 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.075108    -    -  
+JER      lnN     1.011879    -    -  
+JEC      lnN     1.011019    -    -  
+trigger      lnN     1.056303    -    -  
+PDF      lnN     1.025845    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.093739 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..045ec40
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-MuxWTr.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.06259e-10  -4.06259e-10/+3  (68% CL)
+nll S+B -> -0.000603749  nll B -> -0.00060375
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6e250bc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.03125
+Sigma  for expected limits: 4.60787
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.74727 (r = 3.43821e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.162599 (r = 1.2571e-05)
+At r = 47.448815:	q_mu = 58.19374	q_A  = 56.65642	CLsb = 0.00000	CLb  = 0.45933	CLs  = 0.00000
+At r = 23.724425:	q_mu = 21.76524	q_A  = 20.59805	CLsb = 0.00000	CLb  = 0.44884	CLs  = 0.00000
+At r = 11.862230:	q_mu = 7.07970	q_A  = 6.32809	CLsb = 0.00385	CLb  = 0.44062	CLs  = 0.00874
+At r = 5.931132:	q_mu = 2.17289	q_A  = 1.74626	CLsb = 0.06905	CLb  = 0.43588	CLs  = 0.15842
+At r = 8.896681:	q_mu = 4.34369	q_A  = 3.74244	CLsb = 0.01831	CLb  = 0.43825	CLs  = 0.04178
+At r = 7.413906:	q_mu = 3.18043	q_A  = 2.66332	CLsb = 0.03669	CLb  = 0.43706	CLs  = 0.08396
+At r = 8.294956:	q_mu = 3.85380	q_A  = 3.28595	CLsb = 0.02446	CLb  = 0.43777	CLs  = 0.05587
+At r = 8.599161:	q_mu = 4.09884	q_A  = 3.51398	CLsb = 0.02115	CLb  = 0.43802	CLs  = 0.04829
+At r = 8.480090:	q_mu = 4.00211	q_A  = 3.42387	CLsb = 0.02240	CLb  = 0.43792	CLs  = 0.05114
+At r = 8.541288:	q_mu = 4.05168	q_A  = 3.47004	CLsb = 0.02175	CLb  = 0.43797	CLs  = 0.04966
+At r = 8.517553:	q_mu = 4.03242	q_A  = 3.45209	CLsb = 0.02200	CLb  = 0.43795	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 8.5176
+Expected  2.5%: r < 4.7273
+Expected 16.0%: r < 6.3581
+Expected 50.0%: r < 9.0312
+Expected 84.0%: r < 12.9551
+Expected 97.5%: r < 17.9988
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt
new file mode 100644
index 0000000..debbf26
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_840.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_840.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.592032   1443.000000   3.592032 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.075690    -    -  
+JER      lnN     1.012045    -    -  
+JEC      lnN     1.010536    -    -  
+trigger      lnN     1.056045    -    -  
+PDF      lnN     1.025964    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.079892 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..244772d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-NDu87o.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.16573e-15  -1.16573e-15/+2.92651  (68% CL)
+nll S+B -> -0.00053301  nll B -> -0.00053301
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..96372ca
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.65625
+Sigma  for expected limits: 4.41654
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.67989 (r = 1.4786e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.14063 (r = 2.88228e-05)
+At r = 13.314270:	q_mu = 10.20713	q_A  = 8.31580	CLsb = 0.00066	CLb  = 0.37148	CLs  = 0.00178
+At r = 6.657142:	q_mu = 3.41607	q_A  = 2.34136	CLsb = 0.02996	CLb  = 0.36273	CLs  = 0.08261
+At r = 9.985706:	q_mu = 6.48186	q_A  = 4.96935	CLsb = 0.00511	CLb  = 0.36721	CLs  = 0.01391
+At r = 8.321424:	q_mu = 4.85578	q_A  = 3.55430	CLsb = 0.01286	CLb  = 0.36498	CLs  = 0.03523
+At r = 7.441569:	q_mu = 4.06997	q_A  = 2.88636	CLsb = 0.02032	CLb  = 0.36379	CLs  = 0.05584
+At r = 7.786463:	q_mu = 4.37195	q_A  = 3.14161	CLsb = 0.01702	CLb  = 0.36427	CLs  = 0.04673
+At r = 7.612781:	q_mu = 4.21873	q_A  = 3.01183	CLsb = 0.01862	CLb  = 0.36403	CLs  = 0.05114
+At r = 7.682335:	q_mu = 4.27980	q_A  = 3.06350	CLsb = 0.01796	CLb  = 0.36412	CLs  = 0.04933
+At r = 7.647720:	q_mu = 4.24936	q_A  = 3.03773	CLsb = 0.01829	CLb  = 0.36408	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.6477
+Expected  2.5%: r < 4.5479
+Expected 16.0%: r < 6.1367
+Expected 50.0%: r < 8.6562
+Expected 84.0%: r < 12.4862
+Expected 97.5%: r < 17.2964
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt
new file mode 100644
index 0000000..bf07e2e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_860.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_860.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.617828   1443.000000   3.617828 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.076264    -    -  
+JER      lnN     1.012376    -    -  
+JEC      lnN     1.010854    -    -  
+trigger      lnN     1.056312    -    -  
+PDF      lnN     1.026204    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.071776 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..51e8bcc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-FrFUJd.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 6.91114e-14  -6.91114e-14/+2.80552  (68% CL)
+nll S+B -> -0.000495945  nll B -> -0.000495836
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..77320d5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.34375
+Sigma  for expected limits: 4.25709
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.66222 (r = 5.26868e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.158146 (r = 2.1183e-05)
+At r = 13.728106:	q_mu = 11.38179	q_A  = 9.35243	CLsb = 0.00035	CLb  = 0.37002	CLs  = 0.00094
+At r = 6.864056:	q_mu = 3.83187	q_A  = 2.69958	CLsb = 0.02343	CLb  = 0.36521	CLs  = 0.06415
+At r = 10.296081:	q_mu = 7.25828	q_A  = 5.64925	CLsb = 0.00331	CLb  = 0.36750	CLs  = 0.00901
+At r = 8.580068:	q_mu = 5.44492	q_A  = 4.06684	CLsb = 0.00918	CLb  = 0.36630	CLs  = 0.02506
+At r = 7.571166:	q_mu = 4.47046	q_A  = 3.23504	CLsb = 0.01609	CLb  = 0.36564	CLs  = 0.04402
+At r = 7.238331:	q_mu = 4.16541	q_A  = 2.97823	CLsb = 0.01924	CLb  = 0.36544	CLs  = 0.05265
+At r = 7.381642:	q_mu = 4.29567	q_A  = 3.08765	CLsb = 0.01782	CLb  = 0.36552	CLs  = 0.04876
+At r = 7.315538:	q_mu = 4.23538	q_A  = 3.03695	CLsb = 0.01847	CLb  = 0.36548	CLs  = 0.05052
+At r = 7.344297:	q_mu = 4.26156	q_A  = 3.05896	CLsb = 0.01818	CLb  = 0.36550	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.3443
+Expected  2.5%: r < 4.3185
+Expected 16.0%: r < 5.8437
+Expected 50.0%: r < 8.3438
+Expected 84.0%: r < 12.0354
+Expected 97.5%: r < 16.7762
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt
new file mode 100644
index 0000000..bc18f81
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_880.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_880.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.643624   1443.000000   3.643624 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.076848    -    -  
+JER      lnN     1.012635    -    -  
+JEC      lnN     1.011374    -    -  
+trigger      lnN     1.056838    -    -  
+PDF      lnN     1.026782    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.064707 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..5897465
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-oI871n.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 7.80542e-13  -7.80542e-13/+2.62544  (68% CL)
+nll S+B -> -0.000438322  nll B -> -0.000438323
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..4b1a3f7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.15625
+Sigma  for expected limits: 4.16143
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.62909 (r = 1.41678e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.158128 (r = 0.000345797)
+At r = 12.755578:	q_mu = 10.90467	q_A  = 8.53565	CLsb = 0.00044	CLb  = 0.34258	CLs  = 0.00128
+At r = 6.377790:	q_mu = 3.70331	q_A  = 2.41707	CLsb = 0.02451	CLb  = 0.33956	CLs  = 0.07219
+At r = 9.566684:	q_mu = 6.97031	q_A  = 5.11512	CLsb = 0.00377	CLb  = 0.34085	CLs  = 0.01107
+At r = 7.972237:	q_mu = 5.24154	q_A  = 3.66388	CLsb = 0.01000	CLb  = 0.34013	CLs  = 0.02941
+At r = 7.218408:	q_mu = 4.48897	q_A  = 3.04737	CLsb = 0.01544	CLb  = 0.33984	CLs  = 0.04544
+At r = 6.911306:	q_mu = 4.19538	q_A  = 2.81011	CLsb = 0.01833	CLb  = 0.33974	CLs  = 0.05395
+At r = 7.081585:	q_mu = 4.35718	q_A  = 2.94061	CLsb = 0.01667	CLb  = 0.33979	CLs  = 0.04907
+At r = 7.020643:	q_mu = 4.29899	q_A  = 2.89360	CLsb = 0.01725	CLb  = 0.33977	CLs  = 0.05077
+At r = 7.054795:	q_mu = 4.33156	q_A  = 2.91991	CLsb = 0.01693	CLb  = 0.33978	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.0548
+Expected  2.5%: r < 4.2852
+Expected 16.0%: r < 5.7822
+Expected 50.0%: r < 8.1562
+Expected 84.0%: r < 11.7650
+Expected 97.5%: r < 16.3992
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
new file mode 100644
index 0000000..28a6cc3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_900.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate                  3.66942 1443	3.66942
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.07746    -	-
+JER       lnN     1.01259   - 	-
+JEC       lnN     1.0115   -	-
+trigger   lnN     1.0573539334   -       -
+PDF       lnN     1.02791393996   -	-
+shapeBkg_signal_bkg_HbbHbb__norm param 0.0 -0.054
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..0ba8ebd
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-lT5WP7.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 3.15274e-11  -3.15274e-11/+2.19708  (68% CL)
+nll S+B -> -0.000353093  nll B -> -0.000352994
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..23d986e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.65625
+Sigma  for expected limits: 3.90632
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.53049 (r = 5.97681e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.177356 (r = 0.000701154)
+At r = 9.180727:	q_mu = 7.58792	q_A  = 5.30645	CLsb = 0.00256	CLb  = 0.31023	CLs  = 0.00827
+At r = 4.590367:	q_mu = 2.72793	q_A  = 1.46549	CLsb = 0.04164	CLb  = 0.30104	CLs  = 0.13831
+At r = 6.885547:	q_mu = 4.93994	q_A  = 3.13927	CLsb = 0.01131	CLb  = 0.30567	CLs  = 0.03699
+At r = 6.006793:	q_mu = 4.03655	q_A  = 2.43487	CLsb = 0.01906	CLb  = 0.30390	CLs  = 0.06271
+At r = 6.484084:	q_mu = 4.51928	q_A  = 2.80848	CLsb = 0.01440	CLb  = 0.30488	CLs  = 0.04722
+At r = 6.311725:	q_mu = 4.34260	q_A  = 2.67090	CLsb = 0.01595	CLb  = 0.30452	CLs  = 0.05237
+At r = 6.407914:	q_mu = 4.44086	q_A  = 2.74730	CLsb = 0.01506	CLb  = 0.30472	CLs  = 0.04944
+At r = 6.373594:	q_mu = 4.40571	q_A  = 2.71993	CLsb = 0.01537	CLb  = 0.30465	CLs  = 0.05047
+At r = 6.392861:	q_mu = 4.42543	q_A  = 2.73528	CLsb = 0.01520	CLb  = 0.30469	CLs  = 0.04989
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.3929
+Expected  2.5%: r < 4.0076
+Expected 16.0%: r < 5.4186
+Expected 50.0%: r < 7.6562
+Expected 84.0%: r < 11.1048
+Expected 97.5%: r < 15.4333
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt
new file mode 100644
index 0000000..28049cc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_920.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_920.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.705548   1443.000000   3.705548 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.078112    -    -  
+JER      lnN     1.012075    -    -  
+JEC      lnN     1.010787    -    -  
+trigger      lnN     1.057649    -    -  
+PDF      lnN     1.029727    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.036212 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..a943a85
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-3bZTK4.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.000
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 4.71585e-06  -4.71585e-06/+2.4311  (68% CL)
+nll S+B -> -0.000305637  nll B -> -0.000305577
+Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d255cfb
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.40625
+Sigma  for expected limits: 3.77877
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.58918 (r = 3.43176e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.191463 (r = 0.00107556)
+At r = 12.394837:	q_mu = 11.60633	q_A  = 9.52188	CLsb = 0.00031	CLb  = 0.36777	CLs  = 0.00084
+At r = 6.197419:	q_mu = 3.97825	q_A  = 2.76217	CLsb = 0.02129	CLb  = 0.35724	CLs  = 0.05959
+At r = 9.296128:	q_mu = 7.45812	q_A  = 5.77116	CLsb = 0.00295	CLb  = 0.36275	CLs  = 0.00813
+At r = 7.746773:	q_mu = 5.62129	q_A  = 4.15964	CLsb = 0.00825	CLb  = 0.36005	CLs  = 0.02290
+At r = 6.734770:	q_mu = 4.52473	q_A  = 3.22111	CLsb = 0.01547	CLb  = 0.35824	CLs  = 0.04318
+At r = 6.431539:	q_mu = 4.21291	q_A  = 2.95835	CLsb = 0.01855	CLb  = 0.35767	CLs  = 0.05186
+At r = 6.540542:	q_mu = 4.32389	q_A  = 3.05158	CLsb = 0.01738	CLb  = 0.35787	CLs  = 0.04858
+At r = 6.480255:	q_mu = 4.26238	q_A  = 2.99987	CLsb = 0.01802	CLb  = 0.35776	CLs  = 0.05037
+At r = 6.502115:	q_mu = 4.28464	q_A  = 3.01858	CLsb = 0.01779	CLb  = 0.35780	CLs  = 0.04971
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.5021
+Expected  2.5%: r < 3.8622
+Expected 16.0%: r < 5.2051
+Expected 50.0%: r < 7.4062
+Expected 84.0%: r < 10.7422
+Expected 97.5%: r < 15.0213
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt
new file mode 100644
index 0000000..4af474e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_940.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_940.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.741676   1443.000000   3.741676 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.078788    -    -  
+JER      lnN     1.011205    -    -  
+JEC      lnN     1.009408    -    -  
+trigger      lnN     1.057732    -    -  
+PDF      lnN     1.031994    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 -0.012861 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..ebd0bd7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-TVM4ZF.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.020
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 0.659342  -0.659342/+2.34066  (68% CL)
+nll S+B -> -0.0196628  nll B -> -0.000318379
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e8f9402
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.21875
+Sigma  for expected limits: 3.6831
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.11739 (r = 0.654975)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.205737 (r = 0.00487269)
+At r = 10.590660:	q_mu = 6.83695	q_A  = 7.63259	CLsb = 0.00446	CLb  = 0.55881	CLs  = 0.00799
+At r = 5.622818:	q_mu = 1.93521	q_A  = 2.43652	CLsb = 0.08209	CLb  = 0.56742	CLs  = 0.14468
+At r = 8.106739:	q_mu = 4.09596	q_A  = 4.76182	CLsb = 0.02149	CLb  = 0.56289	CLs  = 0.03818
+At r = 7.207739:	q_mu = 3.23898	q_A  = 3.84968	CLsb = 0.03595	CLb  = 0.56448	CLs  = 0.06369
+At r = 7.727735:	q_mu = 3.72493	q_A  = 4.36810	CLsb = 0.02680	CLb  = 0.56356	CLs  = 0.04756
+At r = 7.552481:	q_mu = 3.55812	q_A  = 4.19052	CLsb = 0.02963	CLb  = 0.56387	CLs  = 0.05254
+At r = 7.657345:	q_mu = 3.65755	q_A  = 4.29641	CLsb = 0.02791	CLb  = 0.56368	CLs  = 0.04951
+At r = 7.622482:	q_mu = 3.62435	q_A  = 4.26107	CLsb = 0.02847	CLb  = 0.56374	CLs  = 0.05050
+At r = 7.636524:	q_mu = 3.63768	q_A  = 4.27527	CLsb = 0.02824	CLb  = 0.56372	CLs  = 0.05010
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.6365
+Expected  2.5%: r < 3.7363
+Expected 16.0%: r < 5.0558
+Expected 50.0%: r < 7.2188
+Expected 84.0%: r < 10.4127
+Expected 97.5%: r < 14.6044
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt
new file mode 100644
index 0000000..13bbcc7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_960.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_960.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.777804   1443.000000   3.777804 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.079468    -    -  
+JER      lnN     1.010165    -    -  
+JEC      lnN     1.007689    -    -  
+trigger      lnN     1.057667    -    -  
+PDF      lnN     1.034399    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.013297 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out
new file mode 100644
index 0000000..4f71470
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out
@@ -0,0 +1,19 @@
+>>> including systematics
+>>> method used to compute upper limit is MaxLikelihoodFit
+>>> random number generator seed is 123456
+[?1034hMissing background ModelConfig 'ModelConfig_bonly' in workspace 'w' in file roostats-6Em1RB.root
+Will make one from the signal ModelConfig 'ModelConfig' setting signal strenth 'r' to zero
+Computing limit starting from observation
+Created Branches
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Running Minos for POI 
+Real time 0:00:00, CP time 0.010
+
+
+ --- MaxLikelihoodFit ---
+Best fit r: 1.09748  -1.09748/+1.90252  (68% CL)
+nll S+B -> -0.0574817  nll B -> -0.000326762
+Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..7111b0b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out
@@ -0,0 +1,37 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.03125
+Sigma  for expected limits: 3.58744
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0869877 (r = 1.09416)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.22384 (r = 0.0102098)
+At r = 10.049581:	q_mu = 5.89935	q_A  = 7.23946	CLsb = 0.00757	CLb  = 0.60325	CLs  = 0.01255
+At r = 5.571871:	q_mu = 1.65914	q_A  = 2.50191	CLsb = 0.09886	CLb  = 0.61549	CLs  = 0.16062
+At r = 7.810726:	q_mu = 3.52195	q_A  = 4.63810	CLsb = 0.03028	CLb  = 0.60909	CLs  = 0.04971
+At r = 6.691298:	q_mu = 2.51871	q_A  = 3.50497	CLsb = 0.05625	CLb  = 0.61222	CLs  = 0.09188
+At r = 7.578499:	q_mu = 3.30278	q_A  = 4.39302	CLsb = 0.03458	CLb  = 0.60972	CLs  = 0.05672
+At r = 7.756214:	q_mu = 3.47000	q_A  = 4.58010	CLsb = 0.03125	CLb  = 0.60923	CLs  = 0.05129
+At r = 7.791809:	q_mu = 3.50389	q_A  = 4.61792	CLsb = 0.03061	CLb  = 0.60913	CLs  = 0.05026
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.7918
+Expected  2.5%: r < 3.6667
+Expected 16.0%: r < 4.9415
+Expected 50.0%: r < 7.0312
+Expected 84.0%: r < 10.1983
+Expected 97.5%: r < 14.2608
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt
new file mode 100644
index 0000000..d959cb6
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt
@@ -0,0 +1,27 @@
+imax 1 number of channels
+jmax * number of backgrounds
+kmax * number of systematic uncertainty sources
+----------
+shapes signal     HbbHbb w_signal_980.root      HbbHbb:signal_fixed
+shapes signal_bkg HbbHbb w_signal_980.root      HbbHbb:signal_bkg
+shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
+shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
+----------
+## Observation
+bin                     HbbHbb
+observation             -1
+----------
+bin                   HbbHbb          HbbHbb	HbbHbb
+process               signal      background	signal_bkg
+process               0           1		2
+rate            3.813932   1443.000000   3.813932 
+lumi_13TeV  lnN   1.026       -		-
+bTag      lnN     1.080129    -    -  
+JER      lnN     1.009138    -    -  
+JEC      lnN     1.005958    -    -  
+trigger      lnN     1.057520    -    -  
+PDF      lnN     1.036624    -    -  
+shapeBkg_signal_bkg_HbbHbb__norm param  0.0 0.039503 
+par_novo_0   param   300.004 77.2331
+par_novo_1   param   228.272 200.342
+par_novo_2   param   -0.351207 1.11678
diff --git a/changename.sh b/changename.sh
new file mode 100755
index 0000000..489b636
--- /dev/null
+++ b/changename.sh
@@ -0,0 +1,70 @@
+#!/bin/bash
+tag=$1
+dest_dir="PreselectedWithRegression"
+
+cd ${dest_dir}${tag}
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-260_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-350_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root  
+mv Histograms_Preselected_GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph.root Histograms_Preselected_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root 
+mv Histograms_Preselected_RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root Histograms_Preselected_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root
+mv Histograms_Preselected_RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root Histograms_Preselected_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root
+mv PreSelected_GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-260_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-350_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root  
+mv PreSelected_GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph.root PreSelected_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root 
+mv PreSelected_RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root  PreSelected_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root
+mv PreSelected_RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root  PreSelected_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root
+cd LMRSelection_chi2
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-260_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-350_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root
+mv Histograms_LMR_GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph.root Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root
+mv Histograms_LMR_RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root Histograms_LMR_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root
+mv Histograms_LMR_RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root Histograms_LMR_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root
+cd ..
+cd MMRSelection_chi2
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-260_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-350_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root
+mv Histograms_MMR_GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph.root Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root
+mv Histograms_MMR_RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root
+mv Histograms_MMR_RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root
+cd ..
+cd ..
\ No newline at end of file
diff --git a/doBuildInputsLMR_bias.sh b/doBuildInputsLMR_bias.sh
index e9b6bc0..1da2fe9 100644
--- a/doBuildInputsLMR_bias.sh
+++ b/doBuildInputsLMR_bias.sh
@@ -41,7 +41,7 @@ echo "PDF"
 python PDFSyst.py --mass $1 --location $4> $folder/pdf.log
 mv $dest_dir/w_background$background.root $folder/
 mv $dest_dir/*BackgroundFit_*${background}*.png* $folder/ 
-mv $dest_dir/BackgroundFit_SB_Split* $folder/ 
+mv $dest_dir/BackgroundFit_SR_Split* $folder/ 
 rm -fr $dest_dir/Background*  
 rm -fr $dest_dir/w_background*
 echo "end"
diff --git a/doBuildInputs_bias.sh b/doBuildInputs_bias.sh
index 599a427..b3808a3 100644
--- a/doBuildInputs_bias.sh
+++ b/doBuildInputs_bias.sh
@@ -38,7 +38,7 @@ echo "PDF"
 python PDFSyst.py --mass $1 --location $4> $folder/pdf.log
 mv $dest_dir/w_background$background.root $folder/
 mv $dest_dir/*BackgroundFit_*${background}*.png* $folder/ 
-mv $dest_dir/BackgroundFit_SB_Split* $folder/ 
+mv $dest_dir/BackgroundFit_SR_Split* $folder/ 
 rm -fr $dest_dir/Background*  
 rm -fr $dest_dir/w_background*
 echo "end"
diff --git a/doDatacards.sh b/doDatacards.sh
index 58aa5c1..0241d24 100755
--- a/doDatacards.sh
+++ b/doDatacards.sh
@@ -13,6 +13,7 @@ pdfLogName="pdf.log"
 sigLogName="signal"${mass}"_sig.log"
 trgLogName="PDFs/trig.log"
 
+
 sig_norm=`grep 'norm =' ${dirName}/${sigLogName}| awk '{print $3/50}'`
 jec_norm=`grep 'JEC     lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
 jer_norm=`grep 'JER     lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
@@ -56,7 +57,6 @@ PDF       lnN     ${pdf_norm}   -
 EOF
 
 #now add the systematics to the card
-#grep 'sg_' ${dirName}/${sigLogName} | grep ' param ' >> ${dirName}/${dcardName}
 grep 'par_'${function}'_' ${dirName}/${bgLogName} | grep ' param ' >> ${dirName}/${dcardName}
 
 cards+="${dirName}/${dcardName} "
diff --git a/doDatacardsLMR.sh b/doDatacardsLMR.sh
index 0206823..81f2a7f 100755
--- a/doDatacardsLMR.sh
+++ b/doDatacardsLMR.sh
@@ -13,6 +13,7 @@ pdfLogName="pdf.log"
 sigLogName="signal"${mass}"_sig.log"
 trgLogName="PDFs/trig.log"
 
+ 
 sig_norm=`grep 'norm =' ${dirName}/${sigLogName}| awk '{print $3}'`
 jec_norm=`grep 'JEC     lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
 jer_norm=`grep 'JER     lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
@@ -58,7 +59,7 @@ EOF
 #bkg_norm rateParam HbbHbb 1 ${bkg_norm} 
 
 #now add the systematics to the card
-#grep 'sg_' ${dirName}/${sigLogName} | grep ' param ' >> ${dirName}/${dcardName}
+
 grep 'par_'${function}'_' ${dirName}/${bgLogName} | grep ' param ' >> ${dirName}/${dcardName}
 
 cards+="${dirName}/${dcardName} "
diff --git a/doDatacardsLMR_bias.sh b/doDatacardsLMR_bias.sh
index 166529f..c8ea9dc 100644
--- a/doDatacardsLMR_bias.sh
+++ b/doDatacardsLMR_bias.sh
@@ -10,11 +10,13 @@ Type="Split"
 datacardtype="f_${function}"
 data_file="w_background_${function}_${range}.root"
 pdfLogName="pdf.log"
-sigLogName="signal"${mass}"_sig.log"
+sigLogName="signal"${mass}"_sig.log"	
+trgLogName="PDFs/trig.log"
 
 sig_norm=`grep 'norm =' ${dirName}/${sigLogName}| awk '{print $3}'`
 jec_norm=`grep 'JEC     lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
 jer_norm=`grep 'JER     lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
+trigger_norm=`grep 'trig'${mass}' ' ${trgLogName} | awk '{print $2}'`
 btag_norm=`grep 'btag    lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
 pdf_norm=`grep 'PDF lnN' ${dirName}/${pdfLogName} | awk '{print $3}'`
 bkg_norm=`grep ' Background number of '${function}_${range}' = ' ${dirName}/${bgLogName} | awk '{print $6}'`
@@ -22,11 +24,11 @@ bkg_norm=`grep ' Background number of '${function}_${range}' = ' ${dirName}/${bg
 if [ $4 -eq 1 ];
         then
 	case "$mass" in
-	260) bias=-0.060;; 270) bias=-0.110;;	300) bias=-0.192;;
+	260) bias=-0.033;; 270) bias=-0.071;;	300) bias=-0.050;;
 	esac
 	else 
         case "$mass" in
-	300) bias=-0.036;; 350) bias=-0.069;; 400) bias=-0.014;; 450) bias=-0.029;; 500) bias=-0.002;; 550) bias=-0.010;; 600) bias=-0.019;;
+	300) bias=0.038;; 350) bias=0.005;; 400) bias=0.0001;; 450) bias=-0.003;; 500) bias=-0.002;; 550) bias=-0.003;; 600) bias=0.002;;
         esac
 fi
 
@@ -34,6 +36,7 @@ echo "bias" ${bias}
 echo sig_norm ${sig_norm}
 echo JEC ${jec_norm}
 echo JER ${jer_norm}
+echo trigger ${trigger_norm}
 echo bTag ${btag_norm}
 echo PDF ${pdf_norm}
 echo bkg_norm ${bkg_norm}
@@ -61,7 +64,7 @@ lumi_13TeV  lnN   1.026       -		-
 bTag      lnN     ${btag_norm}    -	-
 JER       lnN     ${jer_norm}   - 	-
 JEC       lnN     ${jec_norm}   -	-
-trigger   lnN     1.10    -	-
+trigger   lnN     ${trigger_norm}   -   -
 PDF       lnN     ${pdf_norm}   -	-
 shapeBkg_signal_bkg_HbbHbb__norm param 0.0 ${bias}
 EOF
@@ -69,7 +72,6 @@ EOF
 
 
 #now add the systematics to the card
-grep 'sg_' ${dirName}/${sigLogName} | grep ' param ' >> ${dirName}/${dcardName}
 grep 'par_'${function}'_' ${dirName}/${bgLogName} | grep ' param ' >> ${dirName}/${dcardName}
 
 cards+="${dirName}/${dcardName} "
diff --git a/doDatacards_bias.sh b/doDatacards_bias.sh
index 94b6ad6..b0c0a9b 100644
--- a/doDatacards_bias.sh
+++ b/doDatacards_bias.sh
@@ -11,6 +11,7 @@ datacardtype="f_${function}"
 data_file="w_background_${function}_${range}.root"
 pdfLogName="pdf.log"
 sigLogName="signal"${mass}"_sig.log"
+trgLogName="PDFs/trig.log"
 
 sig_norm=`grep 'norm =' ${dirName}/${sigLogName}| awk '{print $3/50}'`
 jec_norm=`grep 'JEC     lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
@@ -18,15 +19,16 @@ jer_norm=`grep 'JER     lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
 btag_norm=`grep 'btag    lnN' ${dirName}/${sigLogName} | awk '{print $3}'`
 pdf_norm=`grep 'PDF lnN' ${dirName}/${pdfLogName} | awk '{print $3}'`
 bkg_norm=`grep ' Background number of '${function}_${range}' = ' ${dirName}/${bgLogName} | awk '{print $6}'`
+trigger_norm=`grep 'trig'${mass}' ' ${trgLogName} | awk '{print $2}'`
 
 if [ $4 -eq 1 ];
         then
         case "$mass" in
-        550) bias=-0.00039;; 600) bias=0.00045;; 650) bias=0.00014;; 750) bias=-0.00042;; 800) bias=-0.00054;; 900) bias=-0.00049;; 1000) bias=0.00015;;
+        550) bias=0.170;; 600) bias=0.053;; 650) bias=-0.062;; 750) bias=-0.190;; 800) bias=-0.119;; 900) bias=-0.033;; 1000) bias=0.061;; 1200) bias=0.094;;
         esac
         else
         case "$mass" in
-        550) bias=-0.00039;; 600) bias=0.00045;; 650) bias=0.00014;; 750) bias=-0.00042;; 800) bias=-0.00054;; 900) bias=-0.00049;; 1000) bias=0.00015;;
+        550) bias=0.170;; 600) bias=0.053;; 650) bias=-0.062;; 750) bias=-0.190;; 800) bias=-0.119;; 900) bias=-0.033;; 1000) bias=0.061;; 1200) bias=0.094;;
         esac    
 fi
 
@@ -34,10 +36,12 @@ echo "bias" ${bias}
 echo sig_norm ${sig_norm}
 echo JEC ${jec_norm}
 echo JER ${jer_norm}
+echo trigger ${trigger_norm}
 echo bTag ${btag_norm}
 echo PDF ${pdf_norm}
 echo bkg_norm ${bkg_norm}
 
+
 #let's build a datacard!
 cat > ${dirName}/${dcardName} <<EOF
 imax 1 number of channels
@@ -61,15 +65,13 @@ lumi_13TeV  lnN   1.026       -		-
 bTag      lnN     ${btag_norm}    -	-
 JER       lnN     ${jer_norm}   - 	-
 JEC       lnN     ${jec_norm}   -	-
-trigger   lnN     1.10    -	-
+trigger   lnN     ${trigger_norm}   -       -
 PDF       lnN     ${pdf_norm}   -	-
 shapeBkg_signal_bkg_HbbHbb__norm param 0.0 ${bias}
 EOF
 #bkg_norm rateParam HbbHbb 1 ${bkg_norm} 
 
-
 #now add the systematics to the card
-grep 'sg_' ${dirName}/${sigLogName} | grep ' param ' >> ${dirName}/${dcardName}
 grep 'par_'${function}'_' ${dirName}/${bgLogName} | grep ' param ' >> ${dirName}/${dcardName}
 
 cards+="${dirName}/${dcardName} "
diff --git a/doLimits.sh b/doLimits.sh
index 6f45ec8..75d416a 100644
--- a/doLimits.sh
+++ b/doLimits.sh
@@ -49,8 +49,8 @@ done
 
 if [ $5 -eq 1 ];
         then
-	massesMMR=(550 600 650 750 800 900 1000)
-        else massesMMR=() #550 600 650 750 800 900 1000)
+	massesMMR=(1200) #550 600 650 750 800 900 1000 1200)
+        else massesMMR=()
 fi
 
 cleanUp=0
diff --git a/doLimits_bias.sh b/doLimits_bias.sh
index 33df715..c320a5a 100644
--- a/doLimits_bias.sh
+++ b/doLimits_bias.sh
@@ -52,8 +52,8 @@ done
 
 if [ $range_num_MMR -eq 1 ];
         then
-	massesMMR=(550 600 650 750 800 900 1000)
-        else massesMMR=() #550 600 650 750 800 900 1000)
+	massesMMR=(550 600 650 750 800 900 1000 1200)
+        else massesMMR=()
 fi
 
 cleanUp=0
diff --git a/drawLimits_All.c b/drawLimits_All.c
new file mode 100644
index 0000000..e251778
--- /dev/null
+++ b/drawLimits_All.c
@@ -0,0 +1,7 @@
+{
+  std::vector<double> masses_LMR1={260, 265, 270, 275, 280, 285, 290, 295, 300, 310, 320};
+  std::vector<double> masses_LMR2={290, 295, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620};
+  std::vector<double> masses_MMR={550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1050, 1100, 1150, 1200};  
+  gROOT->LoadMacro("DrawLimitPlot_All.cc++");
+  DrawLimitPlot_All(masses_LMR1,masses_LMR2,masses_MMR, 1, 1e4,"gaus_exp_250_330","novo_285_625","novo_550_1200");
+}
diff --git a/drawLimits_Combined.c b/drawLimits_Combined.c
new file mode 100644
index 0000000..85e1b18
--- /dev/null
+++ b/drawLimits_Combined.c
@@ -0,0 +1,9 @@
+{
+  std::vector<double> masses_LMR1={260, 265, 270, 275, 280, 285, 290, 295, 300, 310};
+  std::vector<double> masses_LMR2={320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540};
+  std::vector<double> masses_MMR={550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1050, 1100, 1150, 1200};
+  std::vector<double> masses_C={260, 265, 270, 275, 280, 285, 290, 295, 300, 310,320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540,550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1050, 1100, 1150, 1200};
+  gROOT->LoadMacro("DrawLimitPlot_Combined.cc++");
+
+  DrawLimitPlot_Combined(masses_LMR1, masses_LMR2, masses_MMR, masses_C, 1, 1e4,"gaus_exp_250_330","novo_285_625","novo_550_1200");
+}
diff --git a/drawLimits_LMR.c b/drawLimits_LMR.c
index a1e0f62..ce00433 100644
--- a/drawLimits_LMR.c
+++ b/drawLimits_LMR.c
@@ -1,8 +1,6 @@
 {
   std::vector<double> masses_1={260, 270, 300};
   std::vector<double> masses_2={300, 350, 400, 450, 500, 550, 600};
-  //std::vector<double> masses_1={260, 265, 270, 275, 280, 285, 290, 295, 300, 310, 320};
-  //std::vector<double> masses_2={290, 295, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600};
   gROOT->LoadMacro("DrawLimitPlot.cc++");
   DrawLimitPlot(masses_1, 10, 1e5, "gaus_exp_250_330", 0);
   DrawLimitPlot(masses_2, 10, 1e5, "novo_285_625", 0);
diff --git a/drawLimits_LMR_interpolated.c b/drawLimits_LMR_interpolated.c
index a1e0f62..0c19ff9 100644
--- a/drawLimits_LMR_interpolated.c
+++ b/drawLimits_LMR_interpolated.c
@@ -1,8 +1,6 @@
 {
-  std::vector<double> masses_1={260, 270, 300};
-  std::vector<double> masses_2={300, 350, 400, 450, 500, 550, 600};
-  //std::vector<double> masses_1={260, 265, 270, 275, 280, 285, 290, 295, 300, 310, 320};
-  //std::vector<double> masses_2={290, 295, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600};
+  std::vector<double> masses_1={260, 265, 270, 275, 280, 285, 290, 295, 300, 310, 320};
+  std::vector<double> masses_2={290, 295, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620};
   gROOT->LoadMacro("DrawLimitPlot.cc++");
   DrawLimitPlot(masses_1, 10, 1e5, "gaus_exp_250_330", 0);
   DrawLimitPlot(masses_2, 10, 1e5, "novo_285_625", 0);
diff --git a/drawLimits_MMR.c b/drawLimits_MMR.c
index 144e7a0..ec9b7e6 100644
--- a/drawLimits_MMR.c
+++ b/drawLimits_MMR.c
@@ -1,6 +1,5 @@
 {
   std::vector<double> masses={550, 600, 650, 750, 800, 900, 1000}; 
-  //std::vector<double> masses={550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000};
   gROOT->LoadMacro("DrawLimitPlot.cc++");
   DrawLimitPlot(masses, 1, 1e4, "novo_550_1200", 1);
 }
diff --git a/drawLimits_MMR_interpolated.c b/drawLimits_MMR_interpolated.c
index 144e7a0..334b990 100644
--- a/drawLimits_MMR_interpolated.c
+++ b/drawLimits_MMR_interpolated.c
@@ -1,6 +1,5 @@
 {
-  std::vector<double> masses={550, 600, 650, 750, 800, 900, 1000}; 
-  //std::vector<double> masses={550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000};
+  std::vector<double> masses={550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1050, 1100, 1150, 1200};
   gROOT->LoadMacro("DrawLimitPlot.cc++");
   DrawLimitPlot(masses, 1, 1e4, "novo_550_1200", 1);
 }
diff --git a/launchBias.sh b/launchBias.sh
index 3217825..cdc618a 100644
--- a/launchBias.sh
+++ b/launchBias.sh
@@ -1,15 +1,16 @@
 source launchBias_LMR.sh gaus_exp 250_330 gaus_exp 250_330 1 &> /dev/null &
 source launchBias_LMR.sh crystal 250_330 gaus_exp 250_330 1 &> /dev/null &
-#source launchBias_LMR.sh crystal 250_330 crystal 250_330 1 &> /dev/null & 
-#source launchBias_LMR.sh gaus_exp 250_330 crystal 250_330 1 &> /dev/null &
+source launchBias_LMR.sh crystal 250_330 crystal 250_330 1 &> /dev/null &
+source launchBias_LMR.sh gaus_exp 250_330 crystal 250_330 1 &> /dev/null &
 
 source launchBias_LMR.sh novo 285_625 novo 285_625 2 &> /dev/null &
 source launchBias_LMR.sh crystal_1 285_625 novo 285_625 2 &> /dev/null &
-#source launchBias_LMR.sh crystal_1 285_625 crystal_1 285_625 2 &> /dev/null & 
-#source launchBias_LMR.sh novo 285_625 crystal_1 285_625 2 &> /dev/null &
+source launchBias_LMR.sh crystal_1 285_625 crystal_1 285_625 2 &> /dev/null &
+source launchBias_LMR.sh novo 285_625 crystal_1 285_625 2 &> /dev/null &
 
 source launchBias_MMR.sh novo 550_1200 novo 550_1200 1 &> /dev/null &
 source launchBias_MMR.sh crystal_1 550_1200 novo 550_1200 1 &> /dev/null &
-#source launchBias_MMR.sh crystal_1 550_1200 crystal_1 550_1200 1 &> /dev/null &
-#source launchBias_MMR.sh novo 550_1200 crystal_1 550_1200 1 &> /dev/null &
+source launchBias_MMR.sh crystal_1 550_1200 crystal_1 550_1200 1 &> /dev/null &
+source launchBias_MMR.sh novo 550_1200 crystal_1 550_1200 1 &> /dev/null &
+
 
diff --git a/launchBias_LMR.sh b/launchBias_LMR.sh
index 405680f..b238a68 100644
--- a/launchBias_LMR.sh
+++ b/launchBias_LMR.sh
@@ -12,10 +12,10 @@
   background_LMR_2="_${function_LMR_2}_${range_LMR_2}"
   if [ $5 -eq 1 ];
           then
-          masses_LMR=(260 270 300) #300) #260 270) # 300 350)
-          strenght_LMR=(0.0 0.5 1.0) #0.0 0.5 1.0)
-          else masses_LMR=(270 300 350 450 500 550 600 650) #300) #450 500 550 600 650)
-          strenght_LMR=(0.0 0.1 0.2 0.3 0.6) #0.6) # 0.0 0.1 0.2 0.3 1.0)
+          masses_LMR=(260 270 300)  
+          strenght_LMR=(0.0 0.6 1.0) 
+          else masses_LMR=(270 300 350 400 450 500 550 600)
+          strenght_LMR=(0.0 0.1 0.2 0.3 0.6)
   fi
   
   source_dir_LMR="PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/"
@@ -47,8 +47,8 @@
                   cp ../../../../${source_dir_LMR}LMR_${i}${background_LMR_1}/datacard*txt .
                   cp ../../../../${source_dir_LMR}LMR_${i}${background_LMR_2}/w_*.root .
                   cp ../../../../${source_dir_LMR}LMR_${i}${background_LMR_2}/datacard*txt .
-                  #combine datacard_${i}${background_LMR_1}.txt -M GenerateOnly -m $i -t ${n_toys} --saveToys -s ${seed} --expectSignal=$signal_strenght -n ${name} --toysNoSystematic
-                  #combine datacard_${i}${background_LMR_2}.txt -M MaxLikelihoodFit -m $i --expectSignal=$signal_strenght --rMin=-10 --rMax=10 -t ${n_toys} --toysFile=higgsCombine${name}.GenerateOnly.mH$i.${seed}.root -s ${seed} -n ${name}_${i} --robustFit=1  #--saveNormalizations --plot --out out 
+                  combine datacard_${i}${background_LMR_1}.txt -M GenerateOnly -m $i -t ${n_toys} --saveToys -s ${seed} --expectSignal=$signal_strenght -n ${name} --toysNoSystematic
+                  combine datacard_${i}${background_LMR_2}.txt -M MaxLikelihoodFit -m $i --expectSignal=$signal_strenght --rMin=-10 --rMax=10 -t ${n_toys} --toysFile=higgsCombine${name}.GenerateOnly.mH$i.${seed}.root -s ${seed} -n ${name}_${i} --robustFit=1  #--saveNormalizations --plot --out out 
           done
           root -l -b -q drawBias_LMR.C\($signal_strenght,\"$name\",\"$background_LMR_1\",\"$background_LMR_2\"\)
   done
diff --git a/launchBias_MMR.sh b/launchBias_MMR.sh
index 263a703..8124ad8 100644
--- a/launchBias_MMR.sh
+++ b/launchBias_MMR.sh
@@ -12,10 +12,10 @@
   background_MMR_2="_${function_MMR_2}_${range_MMR_2}"
   if [ $5 -eq 1 ];
           then
-          masses_MMR=(550 600 650 750 800 900 1000) #650 750 800 900 1000) #550 600) #750 800 900 1000)
-          strenght_MMR=(0.0 0.1 0.2 0.3)
-          else masses_MMR=(550 600 650 750 800 900 1000)
+          masses_MMR=(550 600 650 750 800 900 1000 1200)
           strenght_MMR=(0.0 0.1 0.2 0.3)
+          else masses_MMR=()
+          strenght_MMR=()
   fi
   
   source_dir_MMR="PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/"
@@ -47,8 +47,8 @@
                   cp ../../../../${source_dir_MMR}/MMR_${i}${background_MMR_1}/datacard*txt .
                   cp ../../../../${source_dir_MMR}/MMR_${i}${background_MMR_2}/w_*.root .
                   cp ../../../../${source_dir_MMR}/MMR_${i}${background_MMR_2}/datacard*txt .
-                  #combine datacard_${i}${background_MMR_1}.txt -M GenerateOnly -m $i -t ${n_toys} --saveToys -s ${seed} --expectSignal=$signal_strenght -n ${name} --toysNoSystematic
-                  #combine datacard_${i}${background_MMR_2}.txt -M MaxLikelihoodFit -m $i --expectSignal=$signal_strenght --rMin=-10 --rMax=10 -t ${n_toys} --toysFile=higgsCombine${name}.GenerateOnly.mH$i.${seed}.root -s ${seed} -n ${name}_${i} --robustFit=1  #--saveNormalizations --plot --out out 
+                  combine datacard_${i}${background_MMR_1}.txt -M GenerateOnly -m $i -t ${n_toys} --saveToys -s ${seed} --expectSignal=$signal_strenght -n ${name} --toysNoSystematic
+                  combine datacard_${i}${background_MMR_2}.txt -M MaxLikelihoodFit -m $i --expectSignal=$signal_strenght --rMin=-10 --rMax=10 -t ${n_toys} --toysFile=higgsCombine${name}.GenerateOnly.mH$i.${seed}.root -s ${seed} -n ${name}_${i} --robustFit=1  #--saveNormalizations --plot --out out 
           done
           root -l -b -q drawBias_MMR.C\($signal_strenght,\"$name\",\"$background_MMR_1\",\"$background_MMR_2\"\)
   done
diff --git a/launchDatacard.sh b/launchDatacard.sh
index 84f6dce..fb82db4 100644
--- a/launchDatacard.sh
+++ b/launchDatacard.sh
@@ -1,6 +1,4 @@
 source doLimits.sh gaus_exp 250_330 novo 550_1200 1 1 $1
-#source doLimits.sh crystal 250_330 crystal_1 550_1200 1 1 $1
-#source doLimits.sh novo 285_625 novo 550_1200 2 2 $1
-#source doLimits.sh crystal_1 285_625 crystal_1 550_1200 2 2 $1
-
-
+source doLimits.sh crystal 250_330 crystal_1 550_1200 1 1 $1
+source doLimits.sh novo 285_625 novo 550_1200 2 2 $1
+source doLimits.sh crystal_1 285_625 crystal_1 550_1200 2 2 $1
diff --git a/launchDatacard_bias.sh b/launchDatacard_bias.sh
index a002067..f9e083b 100644
--- a/launchDatacard_bias.sh
+++ b/launchDatacard_bias.sh
@@ -4,3 +4,4 @@ source doLimits_bias.sh novo 285_625 novo 550_1200 2 2 $1
 source doLimits_bias.sh crystal_1 285_625 crystal_1 550_1200 2 2 $1
 
 
+
diff --git a/launchInterpolation.sh b/launchInterpolation.sh
index d1826b0..e040e9a 100644
--- a/launchInterpolation.sh
+++ b/launchInterpolation.sh
@@ -1,30 +1,28 @@
-echo "LMR 1"
+echo "LMR 1 interpolation"
 cp InterpolateSignal.C PreselectedWithRegressionDeepCSV/limits/LMR/
 cd PreselectedWithRegressionDeepCSV/limits/LMR/
 root -l -b -q "InterpolateSignal.C(\"gaus_exp\", \"250_330\",1, 0)"
 rm InterpolateSignal.C
 cd -
 
-
-echo "LMR 2"
+echo "LMR 2 interpolation"
 cp InterpolateSignal.C PreselectedWithRegressionDeepCSV/limits/LMR/
 cd PreselectedWithRegressionDeepCSV/limits/LMR/
 root -l -b -q "InterpolateSignal.C(\"novo\", \"285_625\",2, 0)"
 rm InterpolateSignal.C
 cd -
 
-echo "MMR 1"
+echo "MMR 1 interpolation"
 cp InterpolateSignal.C PreselectedWithRegressionDeepCSV/limits/MMR/
 cd PreselectedWithRegressionDeepCSV/limits/MMR/
 root -l -b -q "InterpolateSignal.C(\"novo\", \"550_1200\",1, 1)"
 rm InterpolateSignal.C
 cd -
 
-source runLimits_Interpolation.sh gaus_exp 250_330 novo 550_1200 1
-source runLimits_Interpolation.sh novo 285_625 novo 550_1200 2
-
+./runLimits_Interpolation.sh gaus_exp 250_330 novo 550_1200 1
+./runLimits_Interpolation.sh novo 285_625 novo 550_1200 2
 
-echo "LMR"
+echo "LMR limits plot"
 cp drawLimits_LMR_interpolated.c PreselectedWithRegressionDeepCSV/limits/LMR/
 cp DrawLimitPlot.cc PreselectedWithRegressionDeepCSV/limits/LMR/
 cd PreselectedWithRegressionDeepCSV/limits/LMR/
@@ -33,7 +31,7 @@ rm -fr drawLimits_LMR_interpolated.c
 rm -fr DrawLimitPlot.cc
 cd -
 
-echo "MMR"
+echo "MMR limits plot"
 cp drawLimits_MMR_interpolated.c  PreselectedWithRegressionDeepCSV/limits/MMR/
 cp DrawLimitPlot.cc PreselectedWithRegressionDeepCSV/limits/MMR/
 cd PreselectedWithRegressionDeepCSV/limits/MMR/
@@ -42,3 +40,15 @@ rm -fr drawLimits_MMR_interpolated.c
 rm -fr DrawLimitPlot.cc
 cd -
 
+#Here the brazilian plot is performed with overlapping and taking information from limits folder
+
+cp drawLimits_All.c PreselectedWithRegressionDeepCSV/limits/
+cp DrawLimitPlot_All.cc PreselectedWithRegressionDeepCSV/limits/
+cd PreselectedWithRegressionDeepCSV/limits/
+root -l -b -q drawLimits_All.c
+rm -fr drawLimits_All.c
+rm -fr DrawLimitPlot.cc
+cd -
+
+
+
diff --git a/launchInterpolation_bias.sh b/launchInterpolation_bias.sh
new file mode 100755
index 0000000..3e759e9
--- /dev/null
+++ b/launchInterpolation_bias.sh
@@ -0,0 +1,66 @@
+echo "LMR 1 interpolation"
+cp InterpolateSignal_bias.C PreselectedWithRegressionDeepCSV/limits_bias/LMR/
+cd PreselectedWithRegressionDeepCSV/limits_bias/LMR/
+root -l -b -q "InterpolateSignal_bias.C(\"gaus_exp\", \"250_330\",1, 0)"
+rm InterpolateSignal_bias.C
+cd -
+
+echo "LMR 2 interpolation"
+cp InterpolateSignal_bias.C PreselectedWithRegressionDeepCSV/limits_bias/LMR/
+cd PreselectedWithRegressionDeepCSV/limits_bias/LMR/
+root -l -b -q "InterpolateSignal_bias.C(\"novo\", \"285_625\",2, 0)"
+rm InterpolateSignal_bias.C
+cd -
+
+echo "MMR 1 interpolation"
+cp InterpolateSignal_bias.C PreselectedWithRegressionDeepCSV/limits_bias/MMR/
+cd PreselectedWithRegressionDeepCSV/limits_bias/MMR/
+root -l -b -q "InterpolateSignal_bias.C(\"novo\", \"550_1200\",1, 1)"
+rm InterpolateSignal_bias.C
+cd -
+
+./runLimits_Interpolation_bias.sh gaus_exp 250_330 novo 550_1200 1
+./runLimits_Interpolation_bias.sh novo 285_625 novo 550_1200 2
+
+echo "LMR limits plot"
+cp drawLimits_LMR_interpolated.c PreselectedWithRegressionDeepCSV/limits_bias/LMR/
+cp DrawLimitPlot.cc PreselectedWithRegressionDeepCSV/limits_bias/LMR/
+cd PreselectedWithRegressionDeepCSV/limits_bias/LMR/
+root -l -b -q drawLimits_LMR_interpolated.c 
+rm -fr drawLimits_LMR_interpolated.c 
+rm -fr DrawLimitPlot*
+cd -
+
+echo "MMR limits plot"
+cp drawLimits_MMR_interpolated.c  PreselectedWithRegressionDeepCSV/limits_bias/MMR/
+cp DrawLimitPlot.cc PreselectedWithRegressionDeepCSV/limits_bias/MMR/
+cd PreselectedWithRegressionDeepCSV/limits_bias/MMR/
+root -l -b -q drawLimits_MMR_interpolated.c 
+rm -fr drawLimits_MMR_interpolated.c 
+rm -fr DrawLimitPlot*
+cd -
+
+#Here the brazilian plot is performed with overlapping and taking information from limits_bias folder
+
+cp drawLimits_All.c PreselectedWithRegressionDeepCSV/limits_bias/
+cp DrawLimitPlot_All.cc PreselectedWithRegressionDeepCSV/limits_bias/
+cd PreselectedWithRegressionDeepCSV/limits_bias/
+root -l -b -q drawLimits_All.c
+mv UpperLimit_all.png UpperLimit_combined_bias.png
+mv UpperLimit_all.pdf UpperLimit_combined_bias.pdf
+rm -fr drawLimits_All.c
+rm -fr DrawLimitPlot_All*
+cd -
+
+#Here the brazilian plot is performed combining the three regions and taking information from limits_bias folder (limits_bias_graviton and limits_bias_radion in github)
+
+cp drawLimits_Combined.c PreselectedWithRegressionDeepCSV/limits_bias/
+cp DrawLimitPlot_Combined.cc PreselectedWithRegressionDeepCSV/limits_bias/
+cd PreselectedWithRegressionDeepCSV/limits_bias/
+root -l -b -q drawLimits_Combined.c
+mv UpperLimit_combined.png UpperLimit_combined_bias.png
+mv UpperLimit_combined.pdf UpperLimit_combined_bias.pdf
+rm -fr drawLimits_Combined.c
+rm -fr DrawLimitPlot_Combined*
+cd -
+
diff --git a/launchLimits.sh b/launchLimits.sh
index 00729ab..1d33c9f 100644
--- a/launchLimits.sh
+++ b/launchLimits.sh
@@ -1,19 +1,19 @@
-#source runLimits.sh gaus_exp 250_330 novo 550_1200 1
-#source runLimits.sh novo 285_625 novo 550_1200 2
+source runLimits.sh gaus_exp 250_330 novo 550_1200 1
+source runLimits.sh novo 285_625 novo 550_1200 2
 
 echo "LMR"
-cp drawLimits_LMR.c PreselectedWithRegressionDeepCSV/limits/LMR/
-cp DrawLimitPlot.cc PreselectedWithRegressionDeepCSV/limits/LMR/
-cd PreselectedWithRegressionDeepCSV/limits/LMR/
+cp drawLimits_LMR.c PreselectedWithRegressionDeepCSV/limits_no/LMR/
+cp DrawLimitPlot.cc PreselectedWithRegressionDeepCSV/limits_no/LMR/
+cd PreselectedWithRegressionDeepCSV/limits_no/LMR/
 root -l -b -q drawLimits_LMR.c
 rm -fr drawLimits_LMR.c 
 rm -fr DrawLimitPlot.cc
 cd -
 
 echo "MMR"
-cp drawLimits_MMR.c PreselectedWithRegressionDeepCSV/limits/MMR/
-cp DrawLimitPlot.cc PreselectedWithRegressionDeepCSV/limits/MMR/
-cd PreselectedWithRegressionDeepCSV/limits/MMR/
+cp drawLimits_MMR.c PreselectedWithRegressionDeepCSV/limits_no/MMR/
+cp DrawLimitPlot.cc PreselectedWithRegressionDeepCSV/limits_no/MMR/
+cd PreselectedWithRegressionDeepCSV/limits_no/MMR/
 root -l -b -q drawLimits_MMR.c
 rm -fr drawLimits_MMR.c 
 rm -fr DrawLimitPlot.cc 
diff --git a/launchLimits_bias.sh b/launchLimits_bias.sh
index 4b002d8..a527250 100644
--- a/launchLimits_bias.sh
+++ b/launchLimits_bias.sh
@@ -1,5 +1,6 @@
-#source runLimits_bias.sh gaus_exp 250_330 novo 550_1200 1
-#source runLimits_bias.sh novo 285_625 novo 550_1200 2
+
+./runLimits_bias.sh gaus_exp 250_330 novo 550_1200 1
+./runLimits_bias.sh novo 285_625 novo 550_1200 2
 
 echo "LMR"
 cp drawLimits_LMR.c PreselectedWithRegressionDeepCSV/limits_bias/LMR/
diff --git a/launchSyst.sh b/launchSyst.sh
index b6df2c0..d4e2a06 100644
--- a/launchSyst.sh
+++ b/launchSyst.sh
@@ -1,64 +1,76 @@
 location=$1
 
+cd PreselectedWithRegressionDeepCSV
+./processPreSelection_Graviton.sh ${location}
+cd LMRSelection_chi2
+./processLMRSelection.sh
+cd ../MMRSelection_chi2
+./processMMRSelection.sh
+cd ../../
+
 cd PreselectedWithRegressionDeepCSV_JECm1
 echo "JEC +"
-source processPreSelection_Graviton.sh ${location}
+./processPreSelection_Graviton.sh ${location}
 echo "JEC LMR"
 cd LMRSelection_chi2 
-source processLMRSelection.sh
+./processLMRSelection.sh
 echo "JEC MMR"
 cd ../MMRSelection_chi2
-source processMMRSelection.sh
+./processMMRSelection.sh
 cd ../../
+
 cd PreselectedWithRegressionDeepCSV_JECp1
 echo "JEC -"
-source processPreSelection_Graviton.sh
+./processPreSelection_Graviton.sh ${location}
 cd LMRSelection_chi2
 echo "JEC LMR"
-source processLMRSelection.sh
+./processLMRSelection.sh
 cd ../MMRSelection_chi2
 echo "JEC MMR"
-source processMMRSelection.sh
+./processMMRSelection.sh
 cd ../../
+
 echo "JER -"
 cd PreselectedWithRegressionDeepCSV_JERm1
-source processPreSelection_Graviton.sh ${location}
+./processPreSelection_Graviton.sh ${location}
 echo "JER LMR"
 cd LMRSelection_chi2
-source processLMRSelection.sh
+./processLMRSelection.sh
 echo "JER MMR"
 cd ../MMRSelection_chi2
-source processMMRSelection.sh
+./processMMRSelection.sh
 cd ../../
+
 echo "JER +"
 cd PreselectedWithRegressionDeepCSV_JERp1
-source processPreSelection_Graviton.sh ${location}
+./processPreSelection_Graviton.sh ${location}
 cd LMRSelection_chi2
 echo "JER LMR"
-source processLMRSelection.sh
+./processLMRSelection.sh
 cd ../MMRSelection_chi2
 echo "JER MMR"
-source processMMRSelection.sh
+./processMMRSelection.sh
 cd ../../
 
 echo "bTag -"
 cd PreselectedWithRegressionDeepCSV_bTagm1
-source processPreSelection_Graviton.sh ${location}
+./processPreSelection_Graviton.sh ${location}
 echo "bTag LMR"
 cd LMRSelection_chi2
-source processLMRSelection.sh
+./processLMRSelection.sh
 echo "bTag MMR"
 cd ../MMRSelection_chi2
-source processMMRSelection.sh
+./processMMRSelection.sh
 cd ../../
+
 echo "bTag +"
 cd PreselectedWithRegressionDeepCSV_bTagp1
-source processPreSelection_Graviton.sh ${location}
+./processPreSelection_Graviton.sh ${location}
 cd LMRSelection_chi2
 echo "bTag LMR"
-source processLMRSelection.sh
+./processLMRSelection.sh
 cd ../MMRSelection_chi2
 echo "bTag MMR"
-source processMMRSelection.sh
+./processMMRSelection.sh
 cd ../../
 
diff --git a/runLimits_Interpolation.sh b/runLimits_Interpolation.sh
index da89cd7..0395d66 100644
--- a/runLimits_Interpolation.sh
+++ b/runLimits_Interpolation.sh
@@ -1,8 +1,8 @@
 #!/bin/bash
 
 DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
-cd /scratch/malara/WorkingArea/release/CMSSW_7_4_7/src/HiggsAnalysis/CombinedLimit 
-cmsenv
+#cd /scratch/malara/WorkingArea/release/CMSSW_7_4_7/src/HiggsAnalysis/CombinedLimit 
+#cmsenv
 cd $DIR
 
 function_LMR=$1
@@ -16,13 +16,13 @@ background_MMR="_${function_MMR}_${range_MMR}"
 if [ $5 -eq 1 ];
         then
         masses_LMR=(260 265 270 275 280 285 290 295 300 310 320)
-        else masses_LMR=(270 275 280 285 290 295 300 310 320 330 340 350 360 370 380 390 400 410 420 430 440 450 460 470 480 490 500 510 520 530 540 550 560 570 580 590 600 610 620)
+        else masses_LMR=(290 295 300 310 320 330 340 350 360 370 380 390 400 410 420 430 440 450 460 470 480 490 500 510 520 530 540 550 560 570 580 590 600 610 620)
 fi
 
 if [ $5 -eq 1 ];
         then
         masses_MMR=(550 570 600 620 650 670 700 720 750 770 800 820 840 860 880 900 920 940 960 980 1000) #550 600 650 750 800 900 1000)
-        else masses_MMR=() #550 600 650 750 800 900 1000)
+        else masses_MMR=() 
 fi
 
 echo 'MMR'
@@ -40,9 +40,9 @@ do
 	fi
 	mkdir out
         echo "Asymptotic"
-        combine -M Asymptotic datacard_${i}${background_MMR}.txt -t -1 &> CMS_HH4b_$i\_13TeV_asymptoticCLs.out
+        combine -M Asymptotic datacard_${i}${background_MMR}.txt -t -1  |& tee  CMS_HH4b_$i\_13TeV_asymptoticCLs.out
         echo "MaxLikelihoodFit"
-        combine -M MaxLikelihoodFit datacard_${i}${background_MMR}.txt -t -1 --minimizerTolerance=0.001 --rMin=0 --rMax=3 &> CMS_HH4b_$i\_13TeV_MaxLikelihood.out
+        combine -M MaxLikelihoodFit datacard_${i}${background_MMR}.txt -t -1 --minimizerTolerance=0.001 --rMin=0 --rMax=3 |& tee CMS_HH4b_$i\_13TeV_MaxLikelihood.out
         echo "Plot"
         combine -M MaxLikelihoodFit datacard_${i}${background_MMR}.txt -t -1 --minimizerTolerance=0.001 --rMin=0 --rMax=3 --saveNormalizations --plot --out out 
 done
@@ -65,9 +65,9 @@ do
         fi
         mkdir out
         echo "Asymptotic"
-        combine -M Asymptotic datacard_${i}${background_LMR}.txt -t -1 &> CMS_HH4b_$i\_13TeV_asymptoticCLs.out
+        combine -M Asymptotic datacard_${i}${background_LMR}.txt -t -1  |& tee  CMS_HH4b_$i\_13TeV_asymptoticCLs.out
         echo "MaxLikelihoodFit"
-        combine -M MaxLikelihoodFit datacard_${i}${background_LMR}.txt -t -1 --minimizerTolerance=0.001 --rMin=0 --rMax=3 &> CMS_HH4b_$i\_13TeV_MaxLikelihood.out
+        combine -M MaxLikelihoodFit datacard_${i}${background_LMR}.txt -t -1 --minimizerTolerance=0.001 --rMin=0 --rMax=3  |& tee  CMS_HH4b_$i\_13TeV_MaxLikelihood.out
         echo "Plot"
         combine -M MaxLikelihoodFit datacard_${i}${background_LMR}.txt -t -1 --minimizerTolerance=0.001 --rMin=0 --rMax=3 --saveNormalizations --plot --out out
 done
diff --git a/runLimits_Interpolation_bias.sh b/runLimits_Interpolation_bias.sh
new file mode 100755
index 0000000..e63cc8a
--- /dev/null
+++ b/runLimits_Interpolation_bias.sh
@@ -0,0 +1,77 @@
+#!/bin/bash
+
+DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
+
+cd $DIR
+
+function_LMR=$1
+range_LMR=$2
+background_LMR="_${function_LMR}_${range_LMR}"
+
+function_MMR=$3
+range_MMR=$4
+background_MMR="_${function_MMR}_${range_MMR}"
+
+if [ $5 -eq 1 ];
+        then
+        masses_LMR=(260 265 270 275 280 285 290 295 300 310 320)
+        else masses_LMR=(290 295 300 310 320 330 340 350 360 370 380 390 400 410 420 430 440 450 460 470 480 490 500 510 520 530 540 550 560 570 580 590 600 610 620)
+fi
+
+if [ $5 -eq 1 ];
+        then
+        masses_MMR=(550 570 600 620 650 670 700 720 750 770 800 820 840 860 880 900 920 940 960 980 1000 1050 1100 1150 1200) 
+        else masses_MMR=() 
+fi
+
+#Here -t -1 was removed for the unblinding
+
+echo 'MMR'
+for i in ${masses_MMR[@]}
+
+do
+        cd $DIR
+        folder="PreselectedWithRegressionDeepCSV/limits_bias/MMR/MMR_${i}${background_MMR}"
+	if [ -d $folder ]
+	then
+	cd $folder
+	else
+        echo "mass point $i"
+        continue
+	fi
+	mkdir out
+        echo "Asymptotic"
+        combine -M Asymptotic datacard_${i}${background_MMR}.txt |& tee  CMS_HH4b_$i\_13TeV_asymptoticCLs.out
+        echo "MaxLikelihoodFit"
+        combine -M MaxLikelihoodFit datacard_${i}${background_MMR}.txt --minimizerTolerance=0.001 --rMin=0 --rMax=3 |& tee CMS_HH4b_$i\_13TeV_MaxLikelihood.out
+        echo "Plot"
+        combine -M MaxLikelihoodFit datacard_${i}${background_MMR}.txt --minimizerTolerance=0.001 --rMin=0 --rMax=3 --saveNormalizations --plot --out out 
+done
+
+cd $DIR
+
+echo 'LMR'
+
+for i in ${masses_LMR[@]}
+
+do
+        cd $DIR
+        folder="PreselectedWithRegressionDeepCSV/limits_bias/LMR/LMR_${i}${background_LMR}"
+        if [ -d $folder ]
+        then
+        cd $folder
+	else
+        echo "mass point $i" 
+	continue
+        fi
+        mkdir out
+        echo "Asymptotic"
+        combine -M Asymptotic datacard_${i}${background_LMR}.txt  |& tee  CMS_HH4b_$i\_13TeV_asymptoticCLs.out
+        echo "MaxLikelihoodFit"
+        combine -M MaxLikelihoodFit datacard_${i}${background_LMR}.txt --minimizerTolerance=0.001 --rMin=0 --rMax=3  |& tee  CMS_HH4b_$i\_13TeV_MaxLikelihood.out
+        echo "Plot"
+        combine -M MaxLikelihoodFit datacard_${i}${background_LMR}.txt --minimizerTolerance=0.001 --rMin=0 --rMax=3 --saveNormalizations --plot --out out
+done
+
+cd $DIR
+

From d626aa463fec77237965a3c923dd7ad9e425d3e7 Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Fri, 22 Sep 2017 07:16:04 -0500
Subject: [PATCH 02/11] New files

---
 DisplayCutFlow_LMR.cc                         |  55 ++--
 DisplayCutFlow_MMR.cc                         |  49 +--
 PreselectedWithRegressionDeepCSV/ABCD/ABCD.c  |   7 +
 PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc | 292 ++++++++++++++++++
 4 files changed, 333 insertions(+), 70 deletions(-)
 create mode 100644 PreselectedWithRegressionDeepCSV/ABCD/ABCD.c
 create mode 100644 PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc

diff --git a/DisplayCutFlow_LMR.cc b/DisplayCutFlow_LMR.cc
index cc3d017..a15db3d 100644
--- a/DisplayCutFlow_LMR.cc
+++ b/DisplayCutFlow_LMR.cc
@@ -208,7 +208,7 @@ void pushBackHistograms(Samples &sample, TFile *file, TFile * old, bool MC=true)
 
 void signalEff(int npoint)
 {
-        int massPtsStd[8]={260, 270, 300, 350, 400, 450,  500, 550};
+        int massPtsStd[9]={260, 270, 300, 350, 400, 450, 500, 550, 600};
 	int massPts[npoint];
 	for(int i=0; i<npoint; i++) massPts[i]=massPtsStd[i];  
 	std::cout<<" === Signal Efficiencies === "<<std::endl;
@@ -229,7 +229,7 @@ void signalEff(int npoint)
 
 void cumEff(int npoint)
 {
-	int massPtsStd[8]={260, 270, 300, 350, 400, 450,  500, 550};
+	int massPtsStd[9]={260, 270, 300, 350, 400, 450,  500, 550, 600};
 	int massPts[npoint];
 	for(int i=0; i<npoint; i++) massPts[i]=massPtsStd[i];
 
@@ -260,40 +260,27 @@ void DisplayCutFlow_LMR()
   lumi_13TeV  = "(2016)";  // default is "5.1 fb^{-1}"
 
 
-	//int n=10;
-	int massL[6]={260, 270, 300, 400, 500, 550};// 800, 1000, 1200};
-//	int massL[5]={260, 270, 300, 400, 600}; //, 700, 800, 900, 1000, 1100};
-  TFile *glugluToX260=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-260_narrow_13TeV-madgraph.root");
-  TFile *glugluToX270=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root");
-  TFile *glugluToX300=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root");
- //TFile *glugluToX350=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-350_narrow_13TeV-madgraph.root");
-  TFile *glugluToX400=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root");
- // TFile *glugluToX450=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root"); 
-  TFile *glugluToX500=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root");
-  TFile *glugluToX550=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root");
-  //TFile *glugluToX600=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root");
-  //TFile *glugluToX650=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root");
- // TFile *glugluToX700=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-700_narrow_13TeV-madgraph.root");
-//TFile *glugluToX800=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root");
-//TFile *glugluToX900=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root");
-//TFile *glugluToX1000=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-1000_narrow_13TeV-madgraph.root");
-//TFile *glugluToX1200=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-1200_narrow_13TeV-madgraph.root");
+  int massL[9]={260, 270, 300, 350, 400, 450, 500, 550, 600};
+  TFile *glugluToX260=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-260_narrow_13TeV-madgraph.root");
+  TFile *glugluToX270=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root");
+  TFile *glugluToX300=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root");
+  TFile *glugluToX350=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-350_narrow_13TeV-madgraph.root");
+  TFile *glugluToX400=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root");
+  TFile *glugluToX450=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root"); 
+  TFile *glugluToX500=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root");
+  TFile *glugluToX550=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root");
+  TFile *glugluToX600=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root");
+
 
   pushBackHistograms(signals, glugluToX260, glugluToX260);
   pushBackHistograms(signals, glugluToX270, glugluToX270);
-  pushBackHistograms(signals, glugluToX300, glugluToX300 );
-//  pushBackHistograms(signals, glugluToX350, glugluToX350 );
+  pushBackHistograms(signals, glugluToX300, glugluToX300);
+  pushBackHistograms(signals, glugluToX350, glugluToX350);
   pushBackHistograms(signals, glugluToX400, glugluToX400);
-//  pushBackHistograms(signals, glugluToX450, glugluToX450);
+  pushBackHistograms(signals, glugluToX450, glugluToX450);
   pushBackHistograms(signals, glugluToX500, glugluToX500);
   pushBackHistograms(signals, glugluToX550, glugluToX550);
-  //pushBackHistograms(signals, glugluToX600, glugluToX600);
- // pushBackHistograms(signals, glugluToX650, glugluToX650);
- // pushBackHistograms(signals, glugluToX700, glugluToX700);
-//pushBackHistograms(signals, glugluToX800, glugluToX800);
-//pushBackHistograms(signals, glugluToX900, glugluToX900);
-//pushBackHistograms(signals, glugluToX1000, glugluToX1000);
-//pushBackHistograms(signals, glugluToX1200, glugluToX1200);
+  pushBackHistograms(signals, glugluToX600, glugluToX600);
 
   std::vector<TH1F *> h_Cut;
   TH1F *h_Init=new TH1F("h_Init", "h_Init", 154, 260, 1800);
@@ -302,13 +289,9 @@ void DisplayCutFlow_LMR()
   TH1F *h_Events8=(TH1F*)h_Init->Clone("h_Events8");
   TH1F *h_Events10=(TH1F*)h_Init->Clone("h_Events10");
   TH1F *h_Events16=(TH1F*)h_Init->Clone("h_Events16");
-  for (unsigned int i=0; i<6; ++i)
-//   for (unsigned int i=0; i<9; ++i)
+  for (unsigned int i=0; i<9; ++i)
   {
 	  h_Init->SetBinContent(h_Init->FindBin(massL[i]), signals.v_CountWithPU.at(i)->GetBinContent(1));
-	  // std::cout<<"signals.v_CountWithPU.at(i)->GetBinContent(1) = "<<.signals.v_CountWithPU.at(i)->GetBinContent(1)<<std::endl;
-	  // h_Events2->SetBinContent(i, signals.v_Cuts.at(i)->GetBinContent(2));
-	  //
 	  std::cout<<massL[i]<<"   "<<signals.v_Cuts.at(i)->GetBinContent(4)<< "   "<<signals.v_Cuts.at(i)->GetBinContent(8)<<"   "<< signals.v_Cuts.at(i)->GetBinContent(10)<< "  "<< signals.v_Cuts.at(i)->GetBinContent(12)<<std::endl;
 	  h_Events3->SetBinContent(h_Init->FindBin(massL[i]), signals.v_Cuts.at(i)->GetBinContent(4));
 	  h_Events8->SetBinContent(h_Init->FindBin(massL[i]), signals.v_Cuts.at(i)->GetBinContent(8));
@@ -372,7 +355,5 @@ void DisplayCutFlow_LMR()
   // g_Ae_2->Draw("AL*");
 
   c_Ae->SaveAs("c_Ae_LMR.pdf");
-  c_Ae->SaveAs("c_Ae.root");
-
 
 }
diff --git a/DisplayCutFlow_MMR.cc b/DisplayCutFlow_MMR.cc
index 1cdd6f3..39d4405 100644
--- a/DisplayCutFlow_MMR.cc
+++ b/DisplayCutFlow_MMR.cc
@@ -207,7 +207,7 @@ void pushBackHistograms(Samples &sample, TFile *file, TFile * old, bool MC=true)
 
 void signalEff(int npoint)
 {
-	int massPtsStd[10]={450, 500, 550,  650, 700, 750, 800, 900, 1000, 1200};// 350, 450, 500 ,550, 650,  700, 800, 900, 1000, 1200};
+	int massPtsStd[8]={550, 600, 650, 750, 800, 900, 1000, 1200};
 	int massPts[npoint];
 
 
@@ -230,7 +230,7 @@ void signalEff(int npoint)
 
 void cumEff(int npoint)
 {
-	int massPtsStd[10]={450, 500, 550,  650, 700, 750, 800, 900, 1000, 1200};// 350, 450, 550, 650,  700, 800, 900, 1000, 1200};
+	int massPtsStd[8]={550, 600, 650, 750, 800, 900, 1000, 1200};
 
 	int massPts[npoint];
 	for(int i=0; i<npoint; i++) massPts[i]=massPtsStd[i];
@@ -258,41 +258,29 @@ void DisplayCutFlow_MMR()
   gROOT->SetStyle("Plain");
   gStyle->SetOptStat(0000);
   writeExtraText = true;       // if extra text
-  extraText  = "Preliminary";  // default extra text is "Preliminary"
+  extraText  = "Simulation";  // default extra text is "Preliminary"
   lumi_13TeV  = "(2016)";  // default is "5.1 fb^{-1}"
 
 
-	//int n=10;
-	int massL[]={400, 500, 550, 600,  650,  750, 800, 900,1000, 1200};
-	//	int massL[5]={260, 270, 300, 400, 600}; //, 700, 800, 900, 1000, 1100};
-	   TFile *glugluToX400=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root");
-  //TFile *glugluToX450=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root"); 
-  TFile *glugluToX500=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root");
-  TFile *glugluToX550=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root");
-   TFile *glugluToX600=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root");
-  TFile *glugluToX650=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root");
-  //TFile *glugluToX700=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-700_narrow_13TeV-madgraph.root");
-   TFile *glugluToX750=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root");
-
-  TFile *glugluToX800=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root");
-  TFile *glugluToX900=new TFile("Histograms_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root");
-  TFile *glugluToX1000=new TFile("Histograms_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root");
-  TFile *glugluToX1200=new TFile("Histograms_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root");
-//  TFile *glugluToX1400=new TFile("Histograms_BulkGravTohhTohbbhbb_narrow_M-1400_13TeV-madgraph.root");
-
-   pushBackHistograms(signals, glugluToX400, glugluToX400);
- // pushBackHistograms(signals, glugluToX450, glugluToX450);
-  pushBackHistograms(signals, glugluToX500, glugluToX500);
+	int massL[]={550, 600,  650, 750, 800, 900, 1000, 1200};
+
+  TFile *glugluToX550=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root");
+  TFile *glugluToX600=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root");
+  TFile *glugluToX650=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root");
+  TFile *glugluToX750=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root");
+  TFile *glugluToX800=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root");
+  TFile *glugluToX900=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root");
+  TFile *glugluToX1000=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root");
+  TFile *glugluToX1200=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root");
+
   pushBackHistograms(signals, glugluToX550, glugluToX550);
   pushBackHistograms(signals, glugluToX600, glugluToX600);
   pushBackHistograms(signals, glugluToX650, glugluToX650);
- // pushBackHistograms(signals, glugluToX700, glugluToX700);
   pushBackHistograms(signals, glugluToX750, glugluToX750);
   pushBackHistograms(signals, glugluToX800, glugluToX800);
   pushBackHistograms(signals, glugluToX900, glugluToX900);
   pushBackHistograms(signals, glugluToX1000, glugluToX1000);
   pushBackHistograms(signals, glugluToX1200, glugluToX1200);
- // pushBackHistograms(signals, glugluToX1400, glugluToX1400);
 
 std::vector<TH1F *> h_Cut;
 TH1F *h_Init=new TH1F("h_Init", "h_Init", 154, 260, 1800);
@@ -301,8 +289,8 @@ TH1F *h_Events3=(TH1F*)h_Init->Clone("h_Events3");
 TH1F *h_Events8=(TH1F*)h_Init->Clone("h_Events8");
 TH1F *h_Events10=(TH1F*)h_Init->Clone("h_Events10");
 TH1F *h_Events16=(TH1F*)h_Init->Clone("h_Events16");
-//  for (unsigned int i=2; i<=8; ++i)
-for (unsigned int i=0; i<9; ++i)
+
+for (unsigned int i=0; i<8; ++i)
 {
 	h_Init->SetBinContent(h_Init->FindBin(massL[i]), signals.v_CountWithPU.at(i)->GetBinContent(1));
 	// std::cout<<"signals.v_CountWithPU.at(i)->GetBinContent(1) = "<<.signals.v_CountWithPU.at(i)->GetBinContent(1)<<std::endl;
@@ -368,11 +356,6 @@ g_Ae_3->SetMinimum(0.0001);
 
   c_Ae->Update();
 
-
-// g_Ae_2->Draw("AL*");
-
 c_Ae->SaveAs("c_Ae_MMR.pdf");
-c_Ae->SaveAs("c_Ae.root");
-
 
 }
diff --git a/PreselectedWithRegressionDeepCSV/ABCD/ABCD.c b/PreselectedWithRegressionDeepCSV/ABCD/ABCD.c
new file mode 100644
index 0000000..7524295
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/ABCD/ABCD.c
@@ -0,0 +1,7 @@
+{
+  gROOT->LoadMacro("ABCD.cc");
+  //150
+  ABCD("Histograms_LMR_150BTagTotal.root","Histograms_LMR_AntiTag_150_BTagTotal.root",285,625,5,"150","h_mX_SB_kinFit","h_mX_SR_kinFit");
+  //120
+  ABCD("Histograms_LMR_BTagTotal.root","Histograms_LMR_AntiTag_BTagTotal.root",285,625,5,"120","h_mX_SB_kinFit","h_mX_SR_kinFit");  
+}
diff --git a/PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc b/PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc
new file mode 100644
index 0000000..10a5cc2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc
@@ -0,0 +1,292 @@
+#include <iostream>
+#include <TH1F.h>
+#include <TROOT.h>
+#include <TFile.h>
+#include <TLegend.h>
+#include <TCanvas.h>
+#include <TProfile.h>
+#include <TStyle.h>
+#include <TPaveText.h>
+#include <THStack.h>
+#include <TF1.h>
+#include <TSystem.h>
+#include <TGraphErrors.h>
+#include <TF1.h>
+#include <TLine.h>
+#include "../../CMS_lumi.c"
+
+using namespace RooFit ;
+
+// Plot cosmetics
+int iPeriod = 4;    // 1=7TeV, 2=8TeV, 3=7+8TeV, 7=7+8+13TeV 
+int iPos = 11;
+
+std::string itoa(int i) 
+{
+  char res[10];
+  sprintf(res, "%d", i);
+  std::string ret(res);
+  return ret;
+}
+
+void ABCD(std::string filename1,std::string  filename2, double plot_lo, 
+                                                           double plot_hi, 
+                                                           double rebin, std::string mass,
+                                                           std::string hist1="h_mX_SB_kinFit", 
+                                                           std::string hist2="h_mX_SR_kinFit")
+{
+  
+  gROOT->SetStyle("Plain");
+  gStyle->SetPadGridX(0);
+  gStyle->SetPadGridY(0);
+  gStyle->SetOptStat(0000);
+  writeExtraText = true;       // if extra text
+  extraText  = "Preliminary";  // default extra text is "Preliminary"
+  lumi_13TeV = "35.9 fb^{-1}"; 
+
+  //Save the histograms for the fit
+
+  TFile *f_data_tag=new TFile(filename1.c_str());
+  TH1F *h_mX_SB_kinFit=(TH1F*)f_data_tag->Get(hist1.c_str());
+  TH1F *h_mX_SR_kinFit=(TH1F*)f_data_tag->Get(hist2.c_str());
+  TFile *f_data_antitag=new TFile(filename2.c_str());
+  TH1F *h_mX_SB_kinFit_antitag=(TH1F*)f_data_antitag->Get(hist1.c_str());
+  TH1F *h_mX_SR_kinFit_antitag=(TH1F*)f_data_antitag->Get(hist2.c_str());
+  h_mX_SR_kinFit_antitag->Rebin(rebin);
+  h_mX_SB_kinFit_antitag->Rebin(rebin);
+  h_mX_SB_kinFit->Rebin(rebin);
+  h_mX_SR_kinFit->Rebin(rebin);
+  double nEventsSR= h_mX_SR_kinFit->Integral();
+
+  //Calculate prediction A
+  h_mX_SB_kinFit->Scale(1./h_mX_SB_kinFit->Integral());
+  h_mX_SB_kinFit_antitag->Scale(1./h_mX_SB_kinFit_antitag->Integral());
+  h_mX_SR_kinFit_antitag->Scale(1./h_mX_SR_kinFit_antitag->Integral());
+  h_mX_SR_kinFit_antitag->Divide(h_mX_SB_kinFit_antitag);
+  h_mX_SR_kinFit_antitag->Multiply(h_mX_SB_kinFit);
+  h_mX_SR_kinFit_antitag->Scale(nEventsSR);
+  h_mX_SR_kinFit_A=(TH1F*)h_mX_SR_kinFit_antitag->Clone("h_mX_SR_kinFit");
+
+  //This is without normalization to 1
+  RooRealVar *x;
+  x=new RooRealVar("x", "m_{X} (GeV)", plot_lo, plot_hi);
+  RooDataHist pred1("pred1", "Data", RooArgList(*x), h_mX_SR_kinFit_A);
+  RooDataHist pred2("pred2", "Data", RooArgList(*x), h_mX_SR_kinFit);
+  RooPlot *data_plot1=x->frame();
+  pred1.plotOn(data_plot1, RooFit::MarkerColor(kBlue));
+  RooPlot *data_plot2=x->frame();
+  pred2.plotOn(data_plot2, RooFit::MarkerColor(kBlack));
+
+  TCanvas *c_Background=new TCanvas("c_Background", "c_Background", 1200, 1200);
+  c_Background->SetFillStyle(4000);
+  c_Background->SetFrameFillColor(0);
+  c_Background->SetRightMargin(0.01);
+  c_Background->SetLeftMargin(0.15);
+
+  TPad *p_1=new TPad("p_1", "p_1", 0, 0, 1, 1);
+        p_1->SetFillStyle(4000);
+        p_1->SetFrameFillColor(0);
+        p_1->SetBottomMargin(0.10);
+        p_1->SetLeftMargin(0.15);        
+  p_1->Draw();
+  p_1->cd();
+  data_plot1->Draw();
+  data_plot1->SetMaximum(1700);
+  data_plot1->GetXaxis()->SetLabelOffset(0.01); 
+  data_plot1->GetXaxis()->SetLabelFont(42);
+  data_plot1->GetYaxis()->SetLabelFont(42);
+  data_plot1->GetYaxis()->SetTitleFont(42);
+  data_plot1->GetXaxis()->SetTitleFont(42);
+  data_plot2->SetMarkerColor(kBlack);
+  data_plot2->Draw("same");
+  data_plot1->GetYaxis()->SetTitleOffset(1.7);
+  data_plot1->SetTitle("; m_{X} (GeV); Events / 5 GeV ");
+  TLegend *leg = new TLegend(0.85625,0.7021654,0.3565625,0.8903839,NULL,"brNDC");
+  leg->SetBorderSize(0);
+  leg->SetTextSize(0.025);
+  leg->SetHeader("SR Background Estimation"); 
+  leg->SetLineColor(1);
+  leg->SetLineWidth(3);
+  leg->SetFillColor(0);
+  leg->SetFillStyle(0);
+  h_mX_SR_kinFit_A->SetMarkerColor(kBlue);
+  h_mX_SR_kinFit_A->SetLineWidth(2);  
+  h_mX_SR_kinFit_A->SetLineColor(kBlue);
+  h_mX_SR_kinFit->SetMarkerColor(kBlack);
+  h_mX_SR_kinFit->SetLineWidth(2);
+  h_mX_SR_kinFit->SetLineColor(kBlack);
+  leg->AddEntry(h_mX_SR_kinFit_A,Form("Predicted at m_{h}= %s GeV",mass.c_str()) , "lep");
+  leg->AddEntry(h_mX_SR_kinFit,Form("Observed at m_{h}= %s GeV",mass.c_str()), "lep");
+  leg->Draw();
+
+  CMS_lumi( p_1, iPeriod, iPos );
+  c_Background->SaveAs(Form("Background_SR_%s.png", mass.c_str()) );
+  c_Background->SaveAs(Form("Background_SR_%s.pdf", mass.c_str()) );
+
+  //Normalized to 1 plot
+
+  h_mX_SR_kinFit_A->GetXaxis()->SetRangeUser(plot_lo, plot_hi);
+  h_mX_SR_kinFit->GetXaxis()->SetRangeUser(plot_lo, plot_hi);
+  h_mX_SR_kinFit_A->Scale(1. / (h_mX_SR_kinFit_A->Integral()));
+  h_mX_SR_kinFit->Scale(1. / (h_mX_SR_kinFit->Integral()));
+
+  RooRealVar *x_1;
+  x_1=new RooRealVar("x_1", "m_{X} (GeV)", plot_lo, plot_hi);
+  RooDataHist pred1_1("pred1_1", "Data", RooArgList(*x_1), h_mX_SR_kinFit_A);
+  RooDataHist pred2_1("pred2_1", "Data", RooArgList(*x_1), h_mX_SR_kinFit);
+  RooPlot *data_plot1_1=x_1->frame();
+  pred1_1.plotOn(data_plot1_1, RooFit::MarkerColor(kBlue));
+  RooPlot *data_plot2_1=x_1->frame();
+  pred2_1.plotOn(data_plot2_1, RooFit::MarkerColor(kBlack));
+
+  TCanvas *c_Background_1=new TCanvas("c_Background", "c_Background", 1200, 1200);
+  c_Background_1->SetFillStyle(4000);
+  c_Background_1->SetFrameFillColor(0);
+  c_Background_1->SetRightMargin(0.01);
+  c_Background_1->SetLeftMargin(0.15);
+
+  TPad *p_1_1=new TPad("p_1", "p_1", 0, 0, 1, 1);
+        p_1_1->SetFillStyle(4000);
+        p_1_1->SetFrameFillColor(0);
+        p_1_1->SetBottomMargin(0.10);
+        p_1_1->SetLeftMargin(0.15);        
+  p_1_1->Draw();
+  p_1_1->cd();
+  data_plot1_1->Draw();
+  data_plot1_1->SetMaximum(0.12);
+  data_plot1_1->GetXaxis()->SetLabelOffset(0.01); 
+  data_plot1_1->GetXaxis()->SetLabelFont(42);
+  data_plot1_1->GetYaxis()->SetLabelFont(42);
+  data_plot1_1->GetYaxis()->SetTitleFont(42);
+  data_plot1_1->GetXaxis()->SetTitleFont(42);
+  data_plot2_1->SetMarkerColor(kBlack);
+  data_plot2_1->Draw("same");
+  data_plot1_1->GetYaxis()->SetTitleOffset(1.7);
+  data_plot1_1->SetTitle("; m_{X} (GeV); Normalized Units ");
+  TLegend *leg_1 = new TLegend(0.85625,0.7021654,0.3565625,0.8903839,NULL,"brNDC");
+  leg_1->SetBorderSize(0);
+  leg_1->SetTextSize(0.025);
+  leg_1->SetHeader("SR Background Estimation"); 
+  leg_1->SetLineColor(1);
+  leg_1->SetLineWidth(3);
+  leg_1->SetFillColor(0);
+  leg_1->SetFillStyle(0);
+  h_mX_SR_kinFit_A->SetMarkerColor(kBlue);
+  h_mX_SR_kinFit_A->SetLineWidth(2);  
+  h_mX_SR_kinFit_A->SetLineColor(kBlue);
+  h_mX_SR_kinFit->SetMarkerColor(kBlack);
+  h_mX_SR_kinFit->SetLineWidth(2);
+  h_mX_SR_kinFit->SetLineColor(kBlack);
+  leg_1->AddEntry(h_mX_SR_kinFit_A,Form("Predicted at m_{h}= %s GeV",mass.c_str()) , "lep");
+  leg_1->AddEntry(h_mX_SR_kinFit,Form("Observed at m_{h}= %s GeV",mass.c_str()), "lep");
+  leg_1->Draw();
+  CMS_lumi( p_1_1, iPeriod, iPos );
+  c_Background_1->SaveAs(Form("Background_SR_norm1_%s.png", mass.c_str()) );
+  c_Background_1->SaveAs(Form("Background_SR_norm1_%s.pdf", mass.c_str()) );
+
+  //Ratio plot
+  TH1F *h_mX_SR_ratio=(TH1F*)h_mX_SR_kinFit_A->Clone("h_mX_SR_ratio");
+  h_mX_SR_ratio->Divide(h_mX_SR_kinFit);   
+  //Kolmogorov test
+  double compatibility1 = h_mX_SR_kinFit_A->KolmogorovTest(h_mX_SR_kinFit);
+  cout<<"The Kolmogorov compatibility is : "<<compatibility1<<endl;
+  double compatibility2 = h_mX_SR_kinFit_A->Chi2Test(h_mX_SR_kinFit,"WU");
+  cout<<"The Chi2 compatibility is : "<<compatibility2<<endl;
+
+  RooRealVar *x_2;
+  x_2=new RooRealVar("x_2", "m_{X} (GeV)", plot_lo, plot_hi);
+  RooDataHist pred1_2("pred1_2", "Data", RooArgList(*x_2), h_mX_SR_kinFit_A);
+  RooDataHist pred2_2("pred2_2", "Data", RooArgList(*x_2), h_mX_SR_kinFit);
+  RooPlot *data_plot1_2=x_2->frame();
+  pred1_2.plotOn(data_plot1_2, RooFit::MarkerColor(kBlue));
+  RooPlot *data_plot2_2=x_2->frame();
+  pred2_2.plotOn(data_plot2_2, RooFit::MarkerColor(kBlack));
+  //Ratio plot variables
+  RooDataHist pull_2("pull_2", "Data", RooArgList(*x_2), h_mX_SR_ratio);
+  RooPlot* frameR = x_2->frame();  
+  pull_2.plotOn(frameR, RooFit::MarkerColor(kBlack));  
+
+  double xPad = 0.3;
+//  TCanvas *c_Background_2=new TCanvas("c_Background_2", "c_Background_2", 700*(1.-xPad), 700);
+  TCanvas *c_Background_2=new TCanvas("c_Background_2", "c_Background_2", 700, 700);
+  c_Background_2->SetFillStyle(4000);
+  c_Background_2->SetFrameFillColor(0);
+
+  TPad *p_1_2=new TPad("p_1_2", "p_1_2", 0, xPad, 1, 1);
+        p_1_2->SetFillStyle(4000);
+        p_1_2->SetFrameFillColor(0);
+        p_1_2->SetBottomMargin(0.02);
+        p_1_2->SetLeftMargin(0.15); 
+
+
+  TPad* p_2 = new TPad("p_2", "p_2",0,0,1,xPad);
+  p_2->SetBottomMargin((1.-xPad)/xPad*0.13);
+  p_2->SetTopMargin(0.03);
+  p_2->SetLeftMargin(0.15);   
+  p_2->SetFillColor(0);
+  p_2->SetBorderMode(0);
+  p_2->SetBorderSize(2);
+  p_2->SetFrameBorderMode(0);
+  p_2->SetFrameBorderMode(0);
+
+  p_1_2->Draw();
+  p_2->Draw();
+  p_1_2->cd();  
+
+  data_plot1_2->Draw();
+  data_plot1_2->SetMaximum(0.12);
+  data_plot1_2->GetXaxis()->SetLabelOffset(0.05);
+  data_plot1_2->GetXaxis()->SetLabelFont(42);
+  data_plot1_2->GetYaxis()->SetLabelFont(42);
+  data_plot1_2->GetYaxis()->SetTitleFont(42);
+  data_plot1_2->GetXaxis()->SetTitleFont(42); 
+  data_plot2_2->SetMarkerColor(kBlue);
+  data_plot2_2->Draw("same");
+  data_plot1_2->GetYaxis()->SetTitleOffset(1.25);
+  data_plot1_2->SetTitle("; m_{X} (GeV); Normalized Units ");
+  TLegend *leg_2 = new TLegend(0.85625,0.7021654,0.3565625,0.8903839,NULL,"brNDC");
+  leg_2->SetBorderSize(0);
+  leg_2->SetTextSize(0.025);
+  leg_2->SetHeader("SR Background Estimation"); 
+  leg_2->SetLineColor(1);
+  leg_2->SetLineWidth(3);
+  leg_2->SetFillColor(0);
+  leg_2->SetFillStyle(0);
+  h_mX_SR_kinFit_A->SetMarkerColor(kBlue);
+  h_mX_SR_kinFit_A->SetLineWidth(2);  
+  h_mX_SR_kinFit_A->SetLineColor(kBlue);
+  h_mX_SR_kinFit->SetMarkerColor(kBlack);
+  h_mX_SR_kinFit->SetLineWidth(2);
+  h_mX_SR_kinFit->SetLineColor(kBlack);
+  leg_2->AddEntry(h_mX_SR_kinFit,"Data in SR", "lep");
+  leg_2->AddEntry(h_mX_SR_kinFit_A,"Predicted from ABCD Method", "lep");
+  //leg_2->AddEntry(h_mX_SR_kinFit_A,Form("Predicted at m_{h}= %s GeV",mass.c_str()) , "lep");
+  //leg_2->AddEntry(h_mX_SR_kinFit,Form("Observed at m_{h}= %s GeV",mass.c_str()), "lep");
+  leg_2->Draw();
+  CMS_lumi( p_1_2, iPeriod, iPos );
+
+  p_2->cd();
+  gPad->SetGridy(1);
+  frameR->Draw();
+  frameR->SetTitle("; m_{X} (GeV); Predicted / Observed");
+  frameR->SetMaximum(2);
+  frameR->SetMinimum(0);
+  frameR->GetXaxis()->SetLabelFont(42);
+  frameR->GetYaxis()->SetLabelFont(42);
+  frameR->GetYaxis()->SetTitleFont(42);
+  frameR->GetXaxis()->SetTitleFont(42);  
+  frameR->GetYaxis()->SetTitleSize(0.07);
+  frameR->GetYaxis()->SetTitleOffset(0.5);
+  frameR->GetXaxis()->SetTitleSize(0.09);
+  frameR->GetXaxis()->SetTitleOffset(1.0);
+  frameR->GetXaxis()->SetLabelSize(0.07);
+  frameR->GetYaxis()->SetLabelSize(0.06);
+  frameR->Draw();
+  p_1_2->cd();  
+
+  c_Background_2->SaveAs(Form("Background_SR_norm1_ratio_%s.png", mass.c_str()) );
+  c_Background_2->SaveAs(Form("Background_SR_norm1_ratio_%s.pdf", mass.c_str()) );
+
+}
+
+

From 0c87086c4fc9edbe3759be1c7b74d9a9644a5d77 Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Fri, 22 Sep 2017 11:09:46 -0500
Subject: [PATCH 03/11] New files

---
 .../CMS_HH4b_1000_13TeV_asymptoticCLs.out     | 41 ++++++++++++++++++
 .../CMS_HH4b_1050_13TeV_asymptoticCLs.out     | 40 ++++++++++++++++++
 .../CMS_HH4b_1100_13TeV_asymptoticCLs.out     | 40 ++++++++++++++++++
 .../CMS_HH4b_1150_13TeV_asymptoticCLs.out     | 39 +++++++++++++++++
 .../CMS_HH4b_1200_13TeV_asymptoticCLs.out     | 39 +++++++++++++++++
 .../CMS_HH4b_260_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_265_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_270_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_275_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_280_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_285_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_290_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_295_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_300_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_310_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_320_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_330_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_340_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_350_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_360_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_370_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_380_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_390_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_400_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_410_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_420_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_430_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_440_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_450_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_460_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_470_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_480_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_490_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_500_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_510_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_520_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_530_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_540_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_550_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_570_13TeV_asymptoticCLs.out      | 38 +++++++++++++++++
 .../CMS_HH4b_600_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_620_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_650_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_670_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_700_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_720_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_750_13TeV_asymptoticCLs.out      | 38 +++++++++++++++++
 .../CMS_HH4b_770_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_800_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_820_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_840_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_860_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_880_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_900_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_920_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_940_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_960_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_980_13TeV_asymptoticCLs.out      | 37 ++++++++++++++++
 .../CMS_HH4b_1000_13TeV_asymptoticCLs.out     | 41 ++++++++++++++++++
 .../CMS_HH4b_1050_13TeV_asymptoticCLs.out     | 40 ++++++++++++++++++
 .../CMS_HH4b_1100_13TeV_asymptoticCLs.out     | 39 +++++++++++++++++
 .../CMS_HH4b_1150_13TeV_asymptoticCLs.out     | 38 +++++++++++++++++
 .../CMS_HH4b_1200_13TeV_asymptoticCLs.out     | 39 +++++++++++++++++
 .../CMS_HH4b_260_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_265_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_270_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_275_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_280_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_285_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_290_13TeV_asymptoticCLs.out      | 38 +++++++++++++++++
 .../CMS_HH4b_295_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_300_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_310_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_320_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_330_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_340_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_350_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_360_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_370_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_380_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_390_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_400_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_410_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_420_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_430_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_440_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_450_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_460_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_470_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_480_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_490_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_500_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_510_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_520_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_530_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_540_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_550_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_570_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_600_13TeV_asymptoticCLs.out      | 42 +++++++++++++++++++
 .../CMS_HH4b_620_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_650_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_670_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_700_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_720_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_750_13TeV_asymptoticCLs.out      | 38 +++++++++++++++++
 .../CMS_HH4b_770_13TeV_asymptoticCLs.out      | 38 +++++++++++++++++
 .../CMS_HH4b_800_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_820_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_840_13TeV_asymptoticCLs.out      | 41 ++++++++++++++++++
 .../CMS_HH4b_860_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_880_13TeV_asymptoticCLs.out      | 40 ++++++++++++++++++
 .../CMS_HH4b_900_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_920_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_940_13TeV_asymptoticCLs.out      | 38 +++++++++++++++++
 .../CMS_HH4b_960_13TeV_asymptoticCLs.out      | 39 +++++++++++++++++
 .../CMS_HH4b_980_13TeV_asymptoticCLs.out      | 38 +++++++++++++++++
 116 files changed, 4671 insertions(+)
 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1000_13TeV_asymptoticCLs.out
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 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1150_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1200_13TeV_asymptoticCLs.out
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 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_265_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_270_13TeV_asymptoticCLs.out
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 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_770_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_800_13TeV_asymptoticCLs.out
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 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_880_13TeV_asymptoticCLs.out
 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_900_13TeV_asymptoticCLs.out
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 create mode 100644 PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_980_13TeV_asymptoticCLs.out

diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1000_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..96905d7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1000_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.09375
+Sigma  for expected limits: 3.61933
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.210642 (r = 0.139019)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.230908 (r = 0.00714918)
+At r = 41.734895:	q_mu = 63.05196	q_A  = 62.18544	CLsb = 0.00000	CLb  = 0.47809	CLs  = 0.00000
+At r = 20.936957:	q_mu = 24.26738	q_A  = 23.98776	CLsb = 0.00000	CLb  = 0.48861	CLs  = 0.00000
+At r = 10.537988:	q_mu = 7.80862	q_A  = 7.80020	CLsb = 0.00260	CLb  = 0.49940	CLs  = 0.00521
+At r = 5.338503:	q_mu = 2.20503	q_A  = 2.26213	CLsb = 0.06878	CLb  = 0.50762	CLs  = 0.13550
+At r = 7.938245:	q_mu = 4.67631	q_A  = 4.71128	CLsb = 0.01529	CLb  = 0.50322	CLs  = 0.03039
+At r = 6.725412:	q_mu = 3.43071	q_A  = 3.47923	CLsb = 0.03200	CLb  = 0.50521	CLs  = 0.06333
+At r = 7.280294:	q_mu = 3.98157	q_A  = 4.02449	CLsb = 0.02300	CLb  = 0.50428	CLs  = 0.04561
+At r = 7.045072:	q_mu = 3.74400	q_A  = 3.78942	CLsb = 0.02650	CLb  = 0.50467	CLs  = 0.05251
+At r = 7.157499:	q_mu = 3.85682	q_A  = 3.90107	CLsb = 0.02477	CLb  = 0.50448	CLs  = 0.04910
+At r = 7.110742:	q_mu = 3.80973	q_A  = 3.85447	CLsb = 0.02548	CLb  = 0.50456	CLs  = 0.05050
+At r = 7.133290:	q_mu = 3.83241	q_A  = 3.87691	CLsb = 0.02514	CLb  = 0.50452	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.1333
+Expected  2.5%: r < 3.6993
+Expected 16.0%: r < 5.0120
+Expected 50.0%: r < 7.0938
+Expected 84.0%: r < 10.2324
+Expected 97.5%: r < 14.2629
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1050_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1050_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..f97f215
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1050_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.28125
+Sigma  for expected limits: 3.71499
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.923115 (r = 5.70768e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.260797 (r = 9.28604e-06)
+At r = 4.166657:	q_mu = 4.05042	q_A  = 1.34698	CLsb = 0.01003	CLb  = 0.12207	CLs  = 0.08215
+At r = 8.333314:	q_mu = 9.82967	q_A  = 4.87999	CLsb = 0.00044	CLb  = 0.13129	CLs  = 0.00331
+At r = 4.166657:	q_mu = 4.05043	q_A  = 1.34698	CLsb = 0.01003	CLb  = 0.12207	CLs  = 0.08215
+At r = 6.249985:	q_mu = 6.77122	q_A  = 2.88843	CLsb = 0.00224	CLb  = 0.12666	CLs  = 0.01771
+At r = 5.122572:	q_mu = 5.25147	q_A  = 1.99251	CLsb = 0.00514	CLb  = 0.12417	CLs  = 0.04143
+At r = 4.721405:	q_mu = 4.73759	q_A  = 1.70891	CLsb = 0.00684	CLb  = 0.12335	CLs  = 0.05544
+At r = 4.915404:	q_mu = 4.98412	q_A  = 1.84349	CLsb = 0.00596	CLb  = 0.12373	CLs  = 0.04820
+At r = 4.835882:	q_mu = 4.88260	q_A  = 1.78768	CLsb = 0.00631	CLb  = 0.12356	CLs  = 0.05105
+At r = 4.874834:	q_mu = 4.93224	q_A  = 1.81490	CLsb = 0.00614	CLb  = 0.12364	CLs  = 0.04964
+At r = 4.858967:	q_mu = 4.91199	q_A  = 1.80377	CLsb = 0.00621	CLb  = 0.12360	CLs  = 0.05021
+
+ -- Asymptotic -- 
+Observed Limit: r < 4.8590
+Expected  2.5%: r < 3.7971
+Expected 16.0%: r < 5.1445
+Expected 50.0%: r < 7.2812
+Expected 84.0%: r < 10.5609
+Expected 97.5%: r < 14.7678
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1100_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1100_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ce37002
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1100_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.046226 (0.002311 times rMax), while it should be at zero
+Median for expected limits: 7.96875
+Sigma  for expected limits: 4.06576
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.699386 (r = 4.785e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.282978 (r = 0.000126511)
+At r = 6.305859:	q_mu = 4.91496	q_A  = 2.48968	CLsb = 0.00948	CLb  = 0.22109	CLs  = 0.04287
+At r = 3.152932:	q_mu = 1.97023	q_A  = 0.65776	CLsb = 0.05260	CLb  = 0.20921	CLs  = 0.25141
+At r = 4.729396:	q_mu = 3.33806	q_A  = 1.44455	CLsb = 0.02332	CLb  = 0.21543	CLs  = 0.10823
+At r = 5.781037:	q_mu = 4.36872	q_A  = 2.11515	CLsb = 0.01290	CLb  = 0.21924	CLs  = 0.05885
+At r = 5.997030:	q_mu = 4.59164	q_A  = 2.26677	CLsb = 0.01137	CLb  = 0.22003	CLs  = 0.05169
+At r = 6.102670:	q_mu = 4.70108	q_A  = 2.34166	CLsb = 0.01069	CLb  = 0.22037	CLs  = 0.04851
+At r = 6.041295:	q_mu = 4.63713	q_A  = 2.29776	CLsb = 0.01108	CLb  = 0.22016	CLs  = 0.05034
+At r = 6.062658:	q_mu = 4.65934	q_A  = 2.31298	CLsb = 0.01095	CLb  = 0.22024	CLs  = 0.04970
+At r = 6.050399:	q_mu = 4.64658	q_A  = 2.30423	CLsb = 0.01102	CLb  = 0.22019	CLs  = 0.05007
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.0504
+Expected  2.5%: r < 4.1556
+Expected 16.0%: r < 5.6004
+Expected 50.0%: r < 7.9688
+Expected 84.0%: r < 11.5581
+Expected 97.5%: r < 16.1622
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1150_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1150_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d7ec204
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1150_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.046073 (0.002304 times rMax), while it should be at zero
+Median for expected limits: 7.03125
+Sigma  for expected limits: 3.58744
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.524391 (r = 4.4283)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.359387 (r = 0.0580577)
+At r = 14.484961:	q_mu = 6.85388	q_A  = 13.53639	CLsb = 0.00442	CLb  = 0.85570	CLs  = 0.00517
+At r = 9.456628:	q_mu = 1.95839	q_A  = 6.53765	CLsb = 0.08084	CLb  = 0.87646	CLs  = 0.09224
+At r = 11.970794:	q_mu = 4.12206	q_A  = 9.84446	CLsb = 0.02116	CLb  = 0.86592	CLs  = 0.02444
+At r = 10.886819:	q_mu = 3.11086	q_A  = 8.36497	CLsb = 0.03889	CLb  = 0.87044	CLs  = 0.04467
+At r = 10.423028:	q_mu = 2.71332	q_A  = 7.75594	CLsb = 0.04976	CLb  = 0.87238	CLs  = 0.05704
+At r = 10.622991:	q_mu = 2.88247	q_A  = 8.01700	CLsb = 0.04477	CLb  = 0.87153	CLs  = 0.05137
+At r = 10.716709:	q_mu = 2.96250	q_A  = 8.14059	CLsb = 0.04261	CLb  = 0.87118	CLs  = 0.04891
+At r = 10.664322:	q_mu = 2.91745	q_A  = 8.07138	CLsb = 0.04381	CLb  = 0.87138	CLs  = 0.05028
+
+ -- Asymptotic -- 
+Observed Limit: r < 10.6643
+Expected  2.5%: r < 3.6942
+Expected 16.0%: r < 4.9847
+Expected 50.0%: r < 7.0312
+Expected 84.0%: r < 10.1422
+Expected 97.5%: r < 14.2251
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1200_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1200_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..861aaf3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_1200_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.54688
+Sigma  for expected limits: 2.83009
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.219765 (r = 1.94582)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.472313 (r = 0.0146962)
+At r = 10.114858:	q_mu = 6.32488	q_A  = 10.70003	CLsb = 0.00595	CLb  = 0.77522	CLs  = 0.00768
+At r = 6.030339:	q_mu = 1.81889	q_A  = 4.44885	CLsb = 0.08872	CLb  = 0.77654	CLs  = 0.11425
+At r = 8.072599:	q_mu = 3.81543	q_A  = 7.36517	CLsb = 0.02539	CLb  = 0.77654	CLs  = 0.03270
+At r = 7.109518:	q_mu = 2.80147	q_A  = 5.92936	CLsb = 0.04709	CLb  = 0.77675	CLs  = 0.06062
+At r = 7.542558:	q_mu = 3.24240	q_A  = 6.56261	CLsb = 0.03588	CLb  = 0.77670	CLs  = 0.04619
+At r = 7.355017:	q_mu = 3.04878	q_A  = 6.28610	CLsb = 0.04040	CLb  = 0.77671	CLs  = 0.05201
+At r = 7.442421:	q_mu = 3.13836	q_A  = 6.41443	CLsb = 0.03824	CLb  = 0.77671	CLs  = 0.04923
+At r = 7.405154:	q_mu = 3.09998	q_A  = 6.35957	CLsb = 0.03915	CLb  = 0.77671	CLs  = 0.05040
+At r = 7.422703:	q_mu = 3.11800	q_A  = 6.38536	CLsb = 0.03872	CLb  = 0.77671	CLs  = 0.04985
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.4227
+Expected  2.5%: r < 2.8709
+Expected 16.0%: r < 3.8849
+Expected 50.0%: r < 5.5469
+Expected 84.0%: r < 8.0895
+Expected 97.5%: r < 11.4840
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_260_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..bac0459
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_260_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.941406
+Sigma  for expected limits: 0.480318
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -3.98144 (r = 1.01987e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -11.5356 (r = 1.63924e-06)
+At r = 3.815762:	q_mu = 40.41295	q_A  = 39.63963	CLsb = 0.00000	CLb  = 0.47551	CLs  = 0.00000
+At r = 1.907881:	q_mu = 13.92126	q_A  = 13.44666	CLsb = 0.00010	CLb  = 0.47420	CLs  = 0.00020
+At r = 0.953940:	q_mu = 4.21011	q_A  = 3.94994	CLsb = 0.02004	CLb  = 0.47391	CLs  = 0.04229
+At r = 0.476970:	q_mu = 1.24105	q_A  = 1.10706	CLsb = 0.13224	CLb  = 0.47461	CLs  = 0.27864
+At r = 0.715455:	q_mu = 2.52945	q_A  = 2.33101	CLsb = 0.05572	CLb  = 0.47409	CLs  = 0.11753
+At r = 0.874982:	q_mu = 3.61309	q_A  = 3.37302	CLsb = 0.02859	CLb  = 0.47394	CLs  = 0.06032
+At r = 0.908362:	q_mu = 3.86076	q_A  = 3.61215	CLsb = 0.02465	CLb  = 0.47393	CLs  = 0.05201
+At r = 0.924435:	q_mu = 3.98250	q_A  = 3.72980	CLsb = 0.02293	CLb  = 0.47392	CLs  = 0.04838
+At r = 0.915378:	q_mu = 3.91370	q_A  = 3.66331	CLsb = 0.02389	CLb  = 0.47392	CLs  = 0.05040
+At r = 0.918606:	q_mu = 3.93815	q_A  = 3.68694	CLsb = 0.02354	CLb  = 0.47392	CLs  = 0.04967
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.9186
+Expected  2.5%: r < 0.4836
+Expected 16.0%: r < 0.6570
+Expected 50.0%: r < 0.9414
+Expected 84.0%: r < 1.3504
+Expected 97.5%: r < 1.8762
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_265_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_265_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2a0ef36
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_265_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.949219
+Sigma  for expected limits: 0.484304
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -10.5756 (r = 2.44211e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -10.3454 (r = 2.4003e-12)
+At r = 1.200000:	q_mu = 14.74283	q_A  = 5.85419	CLsb = 0.00001	CLb  = 0.03312	CLs  = 0.00031
+At r = 0.600000:	q_mu = 6.43905	q_A  = 1.71955	CLsb = 0.00093	CLb  = 0.03597	CLs  = 0.02593
+At r = 0.300000:	q_mu = 2.94263	q_A  = 0.52843	CLsb = 0.00848	CLb  = 0.04840	CLs  = 0.17524
+At r = 0.450000:	q_mu = 4.62700	q_A  = 1.04405	CLsb = 0.00276	CLb  = 0.03978	CLs  = 0.06937
+At r = 0.519940:	q_mu = 5.45670	q_A  = 1.33956	CLsb = 0.00166	CLb  = 0.03765	CLs  = 0.04415
+At r = 0.490546:	q_mu = 5.10468	q_A  = 1.21118	CLsb = 0.00206	CLb  = 0.03845	CLs  = 0.05346
+At r = 0.504654:	q_mu = 5.27305	q_A  = 1.27204	CLsb = 0.00186	CLb  = 0.03805	CLs  = 0.04878
+At r = 0.498800:	q_mu = 5.20305	q_A  = 1.24661	CLsb = 0.00194	CLb  = 0.03822	CLs  = 0.05068
+At r = 0.501627:	q_mu = 5.23682	q_A  = 1.25886	CLsb = 0.00190	CLb  = 0.03814	CLs  = 0.04976
+At r = 0.500457:	q_mu = 5.22284	q_A  = 1.25378	CLsb = 0.00191	CLb  = 0.03817	CLs  = 0.05013
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5005
+Expected  2.5%: r < 0.4728
+Expected 16.0%: r < 0.6533
+Expected 50.0%: r < 0.9492
+Expected 84.0%: r < 1.3692
+Expected 97.5%: r < 1.9085
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_270_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..9321f7c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_270_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.957031
+Sigma  for expected limits: 0.48829
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -8.95873 (r = 3.63878e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -9.40166 (r = 3.46667e-11)
+At r = 1.200000:	q_mu = 13.80277	q_A  = 5.70187	CLsb = 0.00002	CLb  = 0.04492	CLs  = 0.00049
+At r = 0.600000:	q_mu = 5.99297	q_A  = 1.72496	CLsb = 0.00165	CLb  = 0.05210	CLs  = 0.03168
+At r = 0.300000:	q_mu = 2.73229	q_A  = 0.55612	CLsb = 0.01373	CLb  = 0.07227	CLs  = 0.19003
+At r = 0.450000:	q_mu = 4.30106	q_A  = 1.06642	CLsb = 0.00468	CLb  = 0.05866	CLs  = 0.07974
+At r = 0.510679:	q_mu = 4.97118	q_A  = 1.31530	CLsb = 0.00307	CLb  = 0.05548	CLs  = 0.05524
+At r = 0.541362:	q_mu = 5.31752	q_A  = 1.45026	CLsb = 0.00248	CLb  = 0.05418	CLs  = 0.04574
+At r = 0.523640:	q_mu = 5.11688	q_A  = 1.37157	CLsb = 0.00280	CLb  = 0.05491	CLs  = 0.05102
+At r = 0.529806:	q_mu = 5.18649	q_A  = 1.39871	CLsb = 0.00268	CLb  = 0.05465	CLs  = 0.04912
+At r = 0.526268:	q_mu = 5.14652	q_A  = 1.38310	CLsb = 0.00275	CLb  = 0.05480	CLs  = 0.05020
+At r = 0.527502:	q_mu = 5.16045	q_A  = 1.38854	CLsb = 0.00273	CLb  = 0.05475	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5275
+Expected  2.5%: r < 0.4654
+Expected 16.0%: r < 0.6555
+Expected 50.0%: r < 0.9570
+Expected 84.0%: r < 1.3957
+Expected 97.5%: r < 1.9459
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_275_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_275_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2aba9f9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_275_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.847656
+Sigma  for expected limits: 0.432486
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -7.28357 (r = 9.4083e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -11.6216 (r = 2.5402e-10)
+At r = 1.200000:	q_mu = 10.61601	q_A  = 7.08703	CLsb = 0.00044	CLb  = 0.25373	CLs  = 0.00174
+At r = 0.600000:	q_mu = 3.97623	q_A  = 2.12344	CLsb = 0.01818	CLb  = 0.26247	CLs  = 0.06925
+At r = 0.900000:	q_mu = 7.01163	q_A  = 4.29266	CLsb = 0.00319	CLb  = 0.25586	CLs  = 0.01245
+At r = 0.750000:	q_mu = 5.41646	q_A  = 3.12399	CLsb = 0.00785	CLb  = 0.25833	CLs  = 0.03037
+At r = 0.677427:	q_mu = 4.69954	q_A  = 2.61822	CLsb = 0.01187	CLb  = 0.26007	CLs  = 0.04565
+At r = 0.648419:	q_mu = 4.42342	q_A  = 2.42734	CLsb = 0.01395	CLb  = 0.26089	CLs  = 0.05348
+At r = 0.664093:	q_mu = 4.57185	q_A  = 2.52966	CLsb = 0.01279	CLb  = 0.26044	CLs  = 0.04911
+At r = 0.658330:	q_mu = 4.51706	q_A  = 2.49181	CLsb = 0.01321	CLb  = 0.26060	CLs  = 0.05068
+At r = 0.661472:	q_mu = 4.54691	q_A  = 2.51242	CLsb = 0.01298	CLb  = 0.26051	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.6615
+Expected  2.5%: r < 0.4122
+Expected 16.0%: r < 0.5806
+Expected 50.0%: r < 0.8477
+Expected 84.0%: r < 1.2295
+Expected 97.5%: r < 1.7192
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_280_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_280_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b73ee20
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_280_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.759766
+Sigma  for expected limits: 0.387643
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -4.82875 (r = 0.0183068)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -13.3071 (r = 8.92511e-07)
+At r = 5.417510:	q_mu = 83.02110	q_A  = 85.73804	CLsb = 0.00000	CLb  = 0.55879	CLs  = 0.00000
+At r = 2.717909:	q_mu = 31.07922	q_A  = 32.96097	CLsb = 0.00000	CLb  = 0.56604	CLs  = 0.00000
+At r = 1.368108:	q_mu = 9.64842	q_A  = 10.72410	CLsb = 0.00095	CLb  = 0.56694	CLs  = 0.00167
+At r = 0.693207:	q_mu = 2.62177	q_A  = 3.26497	CLsb = 0.05270	CLb  = 0.57446	CLs  = 0.09174
+At r = 1.030657:	q_mu = 5.67839	q_A  = 6.59770	CLsb = 0.00859	CLb  = 0.57364	CLs  = 0.01497
+At r = 0.861932:	q_mu = 4.02342	q_A  = 4.80823	CLsb = 0.02244	CLb  = 0.57414	CLs  = 0.03908
+At r = 0.789208:	q_mu = 3.38676	q_A  = 4.11139	CLsb = 0.03286	CLb  = 0.57430	CLs  = 0.05722
+At r = 0.824329:	q_mu = 3.68821	q_A  = 4.44207	CLsb = 0.02740	CLb  = 0.57423	CLs  = 0.04771
+At r = 0.810068:	q_mu = 3.56444	q_A  = 4.30647	CLsb = 0.02951	CLb  = 0.57426	CLs  = 0.05140
+At r = 0.817147:	q_mu = 3.62565	q_A  = 4.37356	CLsb = 0.02845	CLb  = 0.57424	CLs  = 0.04954
+At r = 0.814307:	q_mu = 3.60103	q_A  = 4.34658	CLsb = 0.02887	CLb  = 0.57425	CLs  = 0.05028
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8143
+Expected  2.5%: r < 0.3784
+Expected 16.0%: r < 0.5259
+Expected 50.0%: r < 0.7598
+Expected 84.0%: r < 1.1020
+Expected 97.5%: r < 1.5315
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_285_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_285_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..28847f0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_285_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.767578
+Sigma  for expected limits: 0.391629
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -2.58834 (r = 0.188998)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -12.9769 (r = 3.76e-07)
+At r = 1.388998:	q_mu = 7.35806	q_A  = 10.96599	CLsb = 0.00334	CLb  = 0.72539	CLs  = 0.00460
+At r = 0.788998:	q_mu = 2.03048	q_A  = 4.04634	CLsb = 0.07709	CLb  = 0.72126	CLs  = 0.10688
+At r = 1.088998:	q_mu = 4.41094	q_A  = 7.17140	CLsb = 0.01785	CLb  = 0.71827	CLs  = 0.02486
+At r = 0.913999:	q_mu = 2.92396	q_A  = 5.25823	CLsb = 0.04364	CLb  = 0.72010	CLs  = 0.06060
+At r = 0.979202:	q_mu = 3.44696	q_A  = 5.94272	CLsb = 0.03168	CLb  = 0.71944	CLs  = 0.04404
+At r = 0.945419:	q_mu = 3.17124	q_A  = 5.58373	CLsb = 0.03747	CLb  = 0.71978	CLs  = 0.05206
+At r = 0.958701:	q_mu = 3.27844	q_A  = 5.72377	CLsb = 0.03510	CLb  = 0.71965	CLs  = 0.04877
+At r = 0.951993:	q_mu = 3.22411	q_A  = 5.65287	CLsb = 0.03628	CLb  = 0.71972	CLs  = 0.05041
+At r = 0.954660:	q_mu = 3.24566	q_A  = 5.68101	CLsb = 0.03581	CLb  = 0.71969	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.9547
+Expected  2.5%: r < 0.3823
+Expected 16.0%: r < 0.5313
+Expected 50.0%: r < 0.7676
+Expected 84.0%: r < 1.1072
+Expected 97.5%: r < 1.5433
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_290_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_290_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..273f69b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_290_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.662109
+Sigma  for expected limits: 0.337817
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -6.19863 (r = 0.187474)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -17.4402 (r = 3.94981e-08)
+At r = 1.387474:	q_mu = 10.32627	q_A  = 14.38328	CLsb = 0.00066	CLb  = 0.71873	CLs  = 0.00091
+At r = 0.787474:	q_mu = 2.86660	q_A  = 5.28113	CLsb = 0.04522	CLb  = 0.72740	CLs  = 0.06216
+At r = 1.087474:	q_mu = 6.13869	q_A  = 9.42394	CLsb = 0.00661	CLb  = 0.72314	CLs  = 0.00914
+At r = 0.937474:	q_mu = 4.37368	q_A  = 7.23627	CLsb = 0.01825	CLb  = 0.72531	CLs  = 0.02516
+At r = 0.846363:	q_mu = 3.42559	q_A  = 6.01905	CLsb = 0.03210	CLb  = 0.72659	CLs  = 0.04417
+At r = 0.817502:	q_mu = 3.14619	q_A  = 5.65245	CLsb = 0.03805	CLb  = 0.72699	CLs  = 0.05234
+At r = 0.829504:	q_mu = 3.26112	q_A  = 5.80376	CLsb = 0.03547	CLb  = 0.72683	CLs  = 0.04880
+At r = 0.823778:	q_mu = 3.20606	q_A  = 5.73136	CLsb = 0.03668	CLb  = 0.72690	CLs  = 0.05046
+At r = 0.826187:	q_mu = 3.22918	q_A  = 5.76178	CLsb = 0.03617	CLb  = 0.72687	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8262
+Expected  2.5%: r < 0.3401
+Expected 16.0%: r < 0.4646
+Expected 50.0%: r < 0.6621
+Expected 84.0%: r < 0.9498
+Expected 97.5%: r < 1.3112
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_295_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_295_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0350775
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_295_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.634766
+Sigma  for expected limits: 0.323866
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -8.84584 (r = 0.131915)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -19.6726 (r = 2.61659e-06)
+At r = 1.331915:	q_mu = 11.21539	q_A  = 14.39851	CLsb = 0.00041	CLb  = 0.67206	CLs  = 0.00060
+At r = 0.731915:	q_mu = 3.12763	q_A  = 4.98601	CLsb = 0.03849	CLb  = 0.67883	CLs  = 0.05670
+At r = 1.031915:	q_mu = 6.68558	q_A  = 9.24710	CLsb = 0.00486	CLb  = 0.67554	CLs  = 0.00719
+At r = 0.881915:	q_mu = 4.76841	q_A  = 6.98880	CLsb = 0.01449	CLb  = 0.67723	CLs  = 0.02140
+At r = 0.777397:	q_mu = 3.59386	q_A  = 5.56421	CLsb = 0.02900	CLb  = 0.67836	CLs  = 0.04275
+At r = 0.757204:	q_mu = 3.38339	q_A  = 5.30426	CLsb = 0.03293	CLb  = 0.67857	CLs  = 0.04853
+At r = 0.748256:	q_mu = 3.29190	q_A  = 5.19072	CLsb = 0.03481	CLb  = 0.67866	CLs  = 0.05129
+At r = 0.753343:	q_mu = 3.34378	q_A  = 5.25514	CLsb = 0.03373	CLb  = 0.67861	CLs  = 0.04970
+At r = 0.751559:	q_mu = 3.32554	q_A  = 5.23251	CLsb = 0.03411	CLb  = 0.67863	CLs  = 0.05026
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.7516
+Expected  2.5%: r < 0.3261
+Expected 16.0%: r < 0.4454
+Expected 50.0%: r < 0.6348
+Expected 84.0%: r < 0.9106
+Expected 97.5%: r < 1.2571
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_300_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b723a09
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_300_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.630859
+Sigma  for expected limits: 0.321873
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -12.6307 (r = 1.27551e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -20.8714 (r = 1.04983e-07)
+At r = 9.410069:	q_mu = 192.47908	q_A  = 192.65150	CLsb = 0.00000	CLb  = 0.50248	CLs  = 0.00000
+At r = 4.705041:	q_mu = 92.39414	q_A  = 92.03090	CLsb = 0.00000	CLb  = 0.49245	CLs  = 0.00000
+At r = 2.352527:	q_mu = 36.70961	q_A  = 36.51249	CLsb = 0.00000	CLb  = 0.49349	CLs  = 0.00000
+At r = 1.176270:	q_mu = 11.92018	q_A  = 11.87942	CLsb = 0.00028	CLb  = 0.49764	CLs  = 0.00056
+At r = 0.588141:	q_mu = 3.38696	q_A  = 3.36206	CLsb = 0.03286	CLb  = 0.49729	CLs  = 0.06607
+At r = 0.882206:	q_mu = 7.15155	q_A  = 7.11776	CLsb = 0.00374	CLb  = 0.49747	CLs  = 0.00753
+At r = 0.735173:	q_mu = 5.12581	q_A  = 5.09621	CLsb = 0.01179	CLb  = 0.49738	CLs  = 0.02370
+At r = 0.649517:	q_mu = 4.07554	q_A  = 4.04861	CLsb = 0.02175	CLb  = 0.49733	CLs  = 0.04374
+At r = 0.621320:	q_mu = 3.75235	q_A  = 3.72634	CLsb = 0.02637	CLb  = 0.49731	CLs  = 0.05302
+At r = 0.633831:	q_mu = 3.89433	q_A  = 3.86792	CLsb = 0.02422	CLb  = 0.49732	CLs  = 0.04871
+At r = 0.628239:	q_mu = 3.83059	q_A  = 3.80436	CLsb = 0.02516	CLb  = 0.49732	CLs  = 0.05060
+At r = 0.630751:	q_mu = 3.85917	q_A  = 3.83285	CLsb = 0.02474	CLb  = 0.49732	CLs  = 0.04974
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.6308
+Expected  2.5%: r < 0.3314
+Expected 16.0%: r < 0.4472
+Expected 50.0%: r < 0.6309
+Expected 84.0%: r < 0.8999
+Expected 97.5%: r < 1.2460
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_310_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_310_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..414df0f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_310_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.580078
+Sigma  for expected limits: 0.295964
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -26.2623 (r = 2.30515e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -32.8506 (r = 1.23577e-05)
+At r = 1.201614:	q_mu = 17.03244	q_A  = 14.68663	CLsb = 0.00002	CLb  = 0.37978	CLs  = 0.00005
+At r = 0.600807:	q_mu = 5.42239	q_A  = 4.11668	CLsb = 0.00937	CLb  = 0.37381	CLs  = 0.02506
+At r = 0.300404:	q_mu = 1.71126	q_A  = 1.03408	CLsb = 0.08853	CLb  = 0.36958	CLs  = 0.23954
+At r = 0.450605:	q_mu = 3.34348	q_A  = 2.34388	CLsb = 0.03162	CLb  = 0.37204	CLs  = 0.08500
+At r = 0.532855:	q_mu = 4.43041	q_A  = 3.26098	CLsb = 0.01660	CLb  = 0.37305	CLs  = 0.04450
+At r = 0.504563:	q_mu = 4.04202	q_A  = 2.93043	CLsb = 0.02085	CLb  = 0.37271	CLs  = 0.05594
+At r = 0.521328:	q_mu = 4.27037	q_A  = 3.12444	CLsb = 0.01823	CLb  = 0.37291	CLs  = 0.04889
+At r = 0.515732:	q_mu = 4.19356	q_A  = 3.05907	CLsb = 0.01907	CLb  = 0.37285	CLs  = 0.05115
+At r = 0.517978:	q_mu = 4.22432	q_A  = 3.08523	CLsb = 0.01873	CLb  = 0.37287	CLs  = 0.05023
+At r = 0.519100:	q_mu = 4.23972	q_A  = 3.09834	CLsb = 0.01856	CLb  = 0.37289	CLs  = 0.04978
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5191
+Expected  2.5%: r < 0.3138
+Expected 16.0%: r < 0.4168
+Expected 50.0%: r < 0.5801
+Expected 84.0%: r < 0.8182
+Expected 97.5%: r < 1.1248
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_320_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_320_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..121700f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_320_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.494141
+Sigma  for expected limits: 0.252117
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -58.2794 (r = 1.04048e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -37.344 (r = 0.0105995)
+At r = 1.200000:	q_mu = 39.76224	q_A  = 19.07139	CLsb = 0.00000	CLb  = 0.00892	CLs  = 0.00000
+At r = 0.600000:	q_mu = 17.59875	q_A  = 5.53509	CLsb = 0.00000	CLb  = 0.00518	CLs  = 0.00009
+At r = 0.300000:	q_mu = 7.86888	q_A  = 1.42036	CLsb = 0.00005	CLb  = 0.00341	CLs  = 0.01426
+At r = 0.150000:	q_mu = 3.64541	q_A  = 0.33705	CLsb = 0.00030	CLb  = 0.00219	CLs  = 0.13783
+At r = 0.225000:	q_mu = 5.69216	q_A  = 0.78888	CLsb = 0.00013	CLb  = 0.00289	CLs  = 0.04568
+At r = 0.205091:	q_mu = 5.13557	q_A  = 0.65107	CLsb = 0.00017	CLb  = 0.00273	CLs  = 0.06161
+At r = 0.216208:	q_mu = 5.44522	q_A  = 0.72644	CLsb = 0.00015	CLb  = 0.00282	CLs  = 0.05216
+At r = 0.220210:	q_mu = 5.55738	q_A  = 0.75455	CLsb = 0.00014	CLb  = 0.00285	CLs  = 0.04911
+At r = 0.218455:	q_mu = 5.50816	q_A  = 0.74216	CLsb = 0.00014	CLb  = 0.00284	CLs  = 0.05043
+At r = 0.219256:	q_mu = 5.53062	q_A  = 0.74780	CLsb = 0.00014	CLb  = 0.00284	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2193
+Expected  2.5%: r < 0.2673
+Expected 16.0%: r < 0.3550
+Expected 50.0%: r < 0.4941
+Expected 84.0%: r < 0.7010
+Expected 97.5%: r < 0.9609
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_330_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_330_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ac1903d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_330_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.419922
+Sigma  for expected limits: 0.21425
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -79.8452 (r = 2.47933e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -47.5701 (r = 0.00601811)
+At r = 1.200000:	q_mu = 54.62698	q_A  = 24.55742	CLsb = 0.00000	CLb  = 0.00121	CLs  = 0.00000
+At r = 0.600000:	q_mu = 25.59468	q_A  = 7.46459	CLsb = 0.00000	CLb  = 0.00045	CLs  = 0.00000
+At r = 0.300000:	q_mu = 11.89230	q_A  = 1.98118	CLsb = 0.00000	CLb  = 0.00022	CLs  = 0.00193
+At r = 0.150000:	q_mu = 5.63088	q_A  = 0.48831	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.05118
+At r = 0.225000:	q_mu = 8.69550	q_A  = 1.11574	CLsb = 0.00000	CLb  = 0.00017	CLs  = 0.01024
+At r = 0.187500:	q_mu = 7.14499	q_A  = 0.77141	CLsb = 0.00000	CLb  = 0.00014	CLs  = 0.02309
+At r = 0.158379:	q_mu = 5.96593	q_A  = 0.54613	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04291
+At r = 0.152563:	q_mu = 5.73316	q_A  = 0.50567	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04850
+At r = 0.151401:	q_mu = 5.68677	q_A  = 0.49777	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04970
+At r = 0.150889:	q_mu = 5.66633	q_A  = 0.49430	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1509
+Expected  2.5%: r < 0.2272
+Expected 16.0%: r < 0.3017
+Expected 50.0%: r < 0.4199
+Expected 84.0%: r < 0.5990
+Expected 97.5%: r < 0.8188
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_340_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_340_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..9beb90e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_340_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.364258
+Sigma  for expected limits: 0.185849
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -87.8895 (r = 5.91378e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -59.449 (r = 0.00330012)
+At r = 1.200000:	q_mu = 55.85633	q_A  = 30.40871	CLsb = 0.00000	CLb  = 0.01052	CLs  = 0.00000
+At r = 0.600000:	q_mu = 25.34046	q_A  = 9.64979	CLsb = 0.00000	CLb  = 0.00578	CLs  = 0.00000
+At r = 0.300000:	q_mu = 11.32796	q_A  = 2.63856	CLsb = 0.00001	CLb  = 0.00374	CLs  = 0.00229
+At r = 0.150000:	q_mu = 5.19721	q_A  = 0.66798	CLsb = 0.00017	CLb  = 0.00280	CLs  = 0.05957
+At r = 0.225000:	q_mu = 8.16398	q_A  = 1.50162	CLsb = 0.00004	CLb  = 0.00328	CLs  = 0.01223
+At r = 0.187500:	q_mu = 6.65374	q_A  = 1.04527	CLsb = 0.00008	CLb  = 0.00305	CLs  = 0.02732
+At r = 0.164237:	q_mu = 5.74371	q_A  = 0.80189	CLsb = 0.00013	CLb  = 0.00290	CLs  = 0.04444
+At r = 0.156804:	q_mu = 5.45753	q_A  = 0.73071	CLsb = 0.00015	CLb  = 0.00285	CLs  = 0.05180
+At r = 0.159662:	q_mu = 5.56727	q_A  = 0.75767	CLsb = 0.00014	CLb  = 0.00287	CLs  = 0.04884
+At r = 0.158179:	q_mu = 5.51024	q_A  = 0.74339	CLsb = 0.00014	CLb  = 0.00285	CLs  = 0.05036
+At r = 0.158753:	q_mu = 5.53229	q_A  = 0.74882	CLsb = 0.00014	CLb  = 0.00286	CLs  = 0.04977
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1588
+Expected  2.5%: r < 0.1956
+Expected 16.0%: r < 0.2609
+Expected 50.0%: r < 0.3643
+Expected 84.0%: r < 0.5196
+Expected 97.5%: r < 0.7149
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_350_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d682416
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_350_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.321289
+Sigma  for expected limits: 0.163926
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -89.6741 (r = 1.01015e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -73.1303 (r = 0.00149266)
+At r = 1.200000:	q_mu = 50.49185	q_A  = 36.36571	CLsb = 0.00000	CLb  = 0.12075	CLs  = 0.00000
+At r = 0.600000:	q_mu = 20.83083	q_A  = 11.99770	CLsb = 0.00000	CLb  = 0.10114	CLs  = 0.00001
+At r = 0.300000:	q_mu = 8.29081	q_A  = 3.36908	CLsb = 0.00075	CLb  = 0.09001	CLs  = 0.00829
+At r = 0.150000:	q_mu = 3.43370	q_A  = 0.86969	CLsb = 0.01052	CLb  = 0.08461	CLs  = 0.12433
+At r = 0.225000:	q_mu = 5.70771	q_A  = 1.93320	CLsb = 0.00300	CLb  = 0.08733	CLs  = 0.03435
+At r = 0.192493:	q_mu = 4.68132	q_A  = 1.42418	CLsb = 0.00526	CLb  = 0.08618	CLs  = 0.06107
+At r = 0.208035:	q_mu = 5.16474	q_A  = 1.65879	CLsb = 0.00404	CLb  = 0.08675	CLs  = 0.04653
+At r = 0.201639:	q_mu = 4.96406	q_A  = 1.56018	CLsb = 0.00451	CLb  = 0.08651	CLs  = 0.05208
+At r = 0.204770:	q_mu = 5.06198	q_A  = 1.60808	CLsb = 0.00427	CLb  = 0.08662	CLs  = 0.04929
+At r = 0.203496:	q_mu = 5.02205	q_A  = 1.58850	CLsb = 0.00436	CLb  = 0.08658	CLs  = 0.05041
+At r = 0.204123:	q_mu = 5.04168	q_A  = 1.59812	CLsb = 0.00432	CLb  = 0.08660	CLs  = 0.04986
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2041
+Expected  2.5%: r < 0.1713
+Expected 16.0%: r < 0.2293
+Expected 50.0%: r < 0.3213
+Expected 84.0%: r < 0.4583
+Expected 97.5%: r < 0.6305
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_360_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_360_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..f4c31f8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_360_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.280273
+Sigma  for expected limits: 0.142999
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -102.644 (r = 3.80654e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -91.8739 (r = 0.000267643)
+At r = 1.200000:	q_mu = 52.36044	q_A  = 43.63679	CLsb = 0.00000	CLb  = 0.25453	CLs  = 0.00000
+At r = 0.600000:	q_mu = 20.59971	q_A  = 15.01402	CLsb = 0.00000	CLb  = 0.23552	CLs  = 0.00001
+At r = 0.300000:	q_mu = 7.50998	q_A  = 4.34457	CLsb = 0.00223	CLb  = 0.22383	CLs  = 0.00996
+At r = 0.150000:	q_mu = 2.80374	q_A  = 1.14346	CLsb = 0.03247	CLb  = 0.21878	CLs  = 0.14842
+At r = 0.225000:	q_mu = 4.95157	q_A  = 2.51474	CLsb = 0.00928	CLb  = 0.22115	CLs  = 0.04198
+At r = 0.201692:	q_mu = 4.23690	q_A  = 2.03653	CLsb = 0.01397	CLb  = 0.22037	CLs  = 0.06341
+At r = 0.212433:	q_mu = 4.56132	q_A  = 2.25143	CLsb = 0.01160	CLb  = 0.22073	CLs  = 0.05254
+At r = 0.217168:	q_mu = 4.70715	q_A  = 2.34901	CLsb = 0.01067	CLb  = 0.22086	CLs  = 0.04831
+At r = 0.214669:	q_mu = 4.62994	q_A  = 2.29720	CLsb = 0.01115	CLb  = 0.22078	CLs  = 0.05050
+At r = 0.215620:	q_mu = 4.65906	q_A  = 2.31685	CLsb = 0.01097	CLb  = 0.22083	CLs  = 0.04966
+At r = 0.215123:	q_mu = 4.64375	q_A  = 2.30657	CLsb = 0.01106	CLb  = 0.22081	CLs  = 0.05010
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2151
+Expected  2.5%: r < 0.1494
+Expected 16.0%: r < 0.2000
+Expected 50.0%: r < 0.2803
+Expected 84.0%: r < 0.3998
+Expected 97.5%: r < 0.5536
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_370_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_370_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..9e99848
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_370_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.249023
+Sigma  for expected limits: 0.127055
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -117.832 (r = 5.76617e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -112.761 (r = 0.000153911)
+At r = 1.200000:	q_mu = 60.97427	q_A  = 50.88470	CLsb = 0.00000	CLb  = 0.23972	CLs  = 0.00000
+At r = 0.600000:	q_mu = 24.77193	q_A  = 18.16292	CLsb = 0.00000	CLb  = 0.21906	CLs  = 0.00000
+At r = 0.300000:	q_mu = 9.22140	q_A  = 5.40243	CLsb = 0.00083	CLb  = 0.20567	CLs  = 0.00403
+At r = 0.150000:	q_mu = 3.46837	q_A  = 1.44512	CLsb = 0.02049	CLb  = 0.20003	CLs  = 0.10245
+At r = 0.225000:	q_mu = 6.10660	q_A  = 3.15117	CLsb = 0.00456	CLb  = 0.20258	CLs  = 0.02250
+At r = 0.193399:	q_mu = 4.93131	q_A  = 2.36062	CLsb = 0.00882	CLb  = 0.20142	CLs  = 0.04380
+At r = 0.179310:	q_mu = 4.43649	q_A  = 2.04116	CLsb = 0.01170	CLb  = 0.20093	CLs  = 0.05821
+At r = 0.185333:	q_mu = 4.64580	q_A  = 2.17525	CLsb = 0.01038	CLb  = 0.20114	CLs  = 0.05159
+At r = 0.188181:	q_mu = 4.74599	q_A  = 2.24002	CLsb = 0.00980	CLb  = 0.20124	CLs  = 0.04871
+At r = 0.186574:	q_mu = 4.68933	q_A  = 2.20334	CLsb = 0.01012	CLb  = 0.20119	CLs  = 0.05032
+At r = 0.187145:	q_mu = 4.70942	q_A  = 2.21633	CLsb = 0.01001	CLb  = 0.20121	CLs  = 0.04974
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1871
+Expected  2.5%: r < 0.1323
+Expected 16.0%: r < 0.1774
+Expected 50.0%: r < 0.2490
+Expected 84.0%: r < 0.3572
+Expected 97.5%: r < 0.4932
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_380_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_380_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..4e7979d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_380_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.22168
+Sigma  for expected limits: 0.113104
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -145.743 (r = 4.01762e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -138.591 (r = 2.89604e-06)
+At r = 1.200000:	q_mu = 70.83484	q_A  = 59.06539	CLsb = 0.00000	CLb  = 0.22193	CLs  = 0.00000
+At r = 0.600000:	q_mu = 29.83174	q_A  = 21.85826	CLsb = 0.00000	CLb  = 0.19691	CLs  = 0.00000
+At r = 0.300000:	q_mu = 11.44171	q_A  = 6.68948	CLsb = 0.00023	CLb  = 0.17913	CLs  = 0.00127
+At r = 0.150000:	q_mu = 4.38402	q_A  = 1.81799	CLsb = 0.01073	CLb  = 0.17066	CLs  = 0.06286
+At r = 0.225000:	q_mu = 7.64527	q_A  = 3.93267	CLsb = 0.00175	CLb  = 0.17462	CLs  = 0.01005
+At r = 0.187500:	q_mu = 5.93950	q_A  = 2.78696	CLsb = 0.00448	CLb  = 0.17253	CLs  = 0.02596
+At r = 0.165264:	q_mu = 4.99794	q_A  = 2.19005	CLsb = 0.00758	CLb  = 0.17139	CLs  = 0.04422
+At r = 0.157947:	q_mu = 4.70038	q_A  = 2.00791	CLsb = 0.00896	CLb  = 0.17104	CLs  = 0.05241
+At r = 0.161035:	q_mu = 4.82515	q_A  = 2.08386	CLsb = 0.00835	CLb  = 0.17119	CLs  = 0.04880
+At r = 0.159579:	q_mu = 4.76618	q_A  = 2.04788	CLsb = 0.00864	CLb  = 0.17112	CLs  = 0.05048
+At r = 0.160198:	q_mu = 4.79123	q_A  = 2.06314	CLsb = 0.00852	CLb  = 0.17115	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1602
+Expected  2.5%: r < 0.1173
+Expected 16.0%: r < 0.1577
+Expected 50.0%: r < 0.2217
+Expected 84.0%: r < 0.3180
+Expected 97.5%: r < 0.4390
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_390_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_390_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d005a9a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_390_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.200195
+Sigma  for expected limits: 0.102142
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -166.986 (r = 4.92073e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -167.548 (r = 5.49299e-10)
+At r = 1.200000:	q_mu = 72.42116	q_A  = 67.53374	CLsb = 0.00000	CLb  = 0.38309	CLs  = 0.00000
+At r = 0.600000:	q_mu = 29.11274	q_A  = 25.81792	CLsb = 0.00000	CLb  = 0.37289	CLs  = 0.00000
+At r = 0.300000:	q_mu = 10.07471	q_A  = 8.11894	CLsb = 0.00071	CLb  = 0.36573	CLs  = 0.00193
+At r = 0.150000:	q_mu = 3.28941	q_A  = 2.24010	CLsb = 0.03236	CLb  = 0.36297	CLs  = 0.08914
+At r = 0.225000:	q_mu = 6.33390	q_A  = 4.80967	CLsb = 0.00553	CLb  = 0.36411	CLs  = 0.01520
+At r = 0.184610:	q_mu = 4.59638	q_A  = 3.32268	CLsb = 0.01492	CLb  = 0.36340	CLs  = 0.04106
+At r = 0.170651:	q_mu = 4.04788	q_A  = 2.86364	CLsb = 0.02057	CLb  = 0.36321	CLs  = 0.05663
+At r = 0.177768:	q_mu = 4.32412	q_A  = 3.09411	CLsb = 0.01749	CLb  = 0.36331	CLs  = 0.04813
+At r = 0.175013:	q_mu = 4.21629	q_A  = 3.00395	CLsb = 0.01863	CLb  = 0.36327	CLs  = 0.05128
+At r = 0.176444:	q_mu = 4.27218	q_A  = 3.05065	CLsb = 0.01803	CLb  = 0.36329	CLs  = 0.04962
+At r = 0.175895:	q_mu = 4.25070	q_A  = 3.03269	CLsb = 0.01826	CLb  = 0.36328	CLs  = 0.05025
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1759
+Expected  2.5%: r < 0.1052
+Expected 16.0%: r < 0.1412
+Expected 50.0%: r < 0.2002
+Expected 84.0%: r < 0.2856
+Expected 97.5%: r < 0.3954
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_400_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0415d5f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_400_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.179199
+Sigma  for expected limits: 0.0914299
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -207.083 (r = 1.91734e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -201.376 (r = 1.8615e-07)
+At r = 1.200002:	q_mu = 80.54293	q_A  = 76.78408	CLsb = 0.00000	CLb  = 0.41509	CLs  = 0.00000
+At r = 0.600002:	q_mu = 32.88373	q_A  = 30.26584	CLsb = 0.00000	CLb  = 0.40597	CLs  = 0.00000
+At r = 0.300002:	q_mu = 11.38356	q_A  = 9.77805	CLsb = 0.00036	CLb  = 0.39870	CLs  = 0.00090
+At r = 0.150002:	q_mu = 3.62056	q_A  = 2.73981	CLsb = 0.02735	CLb  = 0.39510	CLs  = 0.06922
+At r = 0.225002:	q_mu = 7.10306	q_A  = 5.83819	CLsb = 0.00370	CLb  = 0.39676	CLs  = 0.00933
+At r = 0.187502:	q_mu = 5.24737	q_A  = 4.16909	CLsb = 0.01056	CLb  = 0.39587	CLs  = 0.02667
+At r = 0.167733:	q_mu = 4.35929	q_A  = 3.38378	CLsb = 0.01766	CLb  = 0.39545	CLs  = 0.04466
+At r = 0.160530:	q_mu = 4.05255	q_A  = 3.11525	CLsb = 0.02115	CLb  = 0.39530	CLs  = 0.05351
+At r = 0.164132:	q_mu = 4.20474	q_A  = 3.24829	CLsb = 0.01934	CLb  = 0.39537	CLs  = 0.04891
+At r = 0.162703:	q_mu = 4.14409	q_A  = 3.19522	CLsb = 0.02004	CLb  = 0.39534	CLs  = 0.05069
+At r = 0.163426:	q_mu = 4.17473	q_A  = 3.22202	CLsb = 0.01968	CLb  = 0.39536	CLs  = 0.04978
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1634
+Expected  2.5%: r < 0.0948
+Expected 16.0%: r < 0.1275
+Expected 50.0%: r < 0.1792
+Expected 84.0%: r < 0.2571
+Expected 97.5%: r < 0.3549
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_410_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_410_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..56191e8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_410_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.166504
+Sigma  for expected limits: 0.0849525
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -229.835 (r = 7.13638e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -230.895 (r = 7.80281e-07)
+At r = 1.200007:	q_mu = 88.89151	q_A  = 84.25707	CLsb = 0.00000	CLb  = 0.40035	CLs  = 0.00000
+At r = 0.600007:	q_mu = 37.17670	q_A  = 33.89531	CLsb = 0.00000	CLb  = 0.38904	CLs  = 0.00000
+At r = 0.300007:	q_mu = 13.20563	q_A  = 11.15823	CLsb = 0.00013	CLb  = 0.37963	CLs  = 0.00035
+At r = 0.150007:	q_mu = 4.29866	q_A  = 3.16195	CLsb = 0.01796	CLb  = 0.37463	CLs  = 0.04794
+At r = 0.075007:	q_mu = 1.42799	q_A  = 0.83716	CLsb = 0.10789	CLb  = 0.37340	CLs  = 0.28894
+At r = 0.112507:	q_mu = 2.69999	q_A  = 1.82923	CLsb = 0.04703	CLb  = 0.37376	CLs  = 0.12582
+At r = 0.141201:	q_mu = 3.89591	q_A  = 2.82032	CLsb = 0.02277	CLb  = 0.37439	CLs  = 0.06082
+At r = 0.147002:	q_mu = 4.15951	q_A  = 3.04356	CLsb = 0.01949	CLb  = 0.37455	CLs  = 0.05203
+At r = 0.148774:	q_mu = 4.24145	q_A  = 3.11325	CLsb = 0.01857	CLb  = 0.37460	CLs  = 0.04958
+At r = 0.148173:	q_mu = 4.21359	q_A  = 3.08954	CLsb = 0.01888	CLb  = 0.37458	CLs  = 0.05040
+At r = 0.148528:	q_mu = 4.23003	q_A  = 3.10353	CLsb = 0.01870	CLb  = 0.37459	CLs  = 0.04992
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1485
+Expected  2.5%: r < 0.0875
+Expected 16.0%: r < 0.1180
+Expected 50.0%: r < 0.1665
+Expected 84.0%: r < 0.2375
+Expected 97.5%: r < 0.3289
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_420_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_420_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d73824f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_420_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.154785
+Sigma  for expected limits: 0.0789735
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -263.144 (r = 9.0639e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -262.287 (r = 3.58348e-06)
+At r = 1.200009:	q_mu = 97.90505	q_A  = 91.94993	CLsb = 0.00000	CLb  = 0.37808	CLs  = 0.00000
+At r = 0.600009:	q_mu = 41.93057	q_A  = 37.66006	CLsb = 0.00000	CLb  = 0.36394	CLs  = 0.00000
+At r = 0.300009:	q_mu = 15.31527	q_A  = 12.61193	CLsb = 0.00004	CLb  = 0.35175	CLs  = 0.00012
+At r = 0.150009:	q_mu = 5.12948	q_A  = 3.61213	CLsb = 0.01073	CLb  = 0.34488	CLs  = 0.03112
+At r = 0.075009:	q_mu = 1.75360	q_A  = 0.96072	CLsb = 0.08308	CLb  = 0.34294	CLs  = 0.24227
+At r = 0.112509:	q_mu = 3.26030	q_A  = 2.09472	CLsb = 0.03216	CLb  = 0.34360	CLs  = 0.09359
+At r = 0.129588:	q_mu = 4.06947	q_A  = 2.74097	CLsb = 0.01985	CLb  = 0.34413	CLs  = 0.05769
+At r = 0.137458:	q_mu = 4.46658	q_A  = 3.06452	CLsb = 0.01574	CLb  = 0.34441	CLs  = 0.04569
+At r = 0.133451:	q_mu = 4.26249	q_A  = 2.89776	CLsb = 0.01773	CLb  = 0.34426	CLs  = 0.05149
+At r = 0.135041:	q_mu = 4.34302	q_A  = 2.96344	CLsb = 0.01691	CLb  = 0.34432	CLs  = 0.04912
+At r = 0.134243:	q_mu = 4.30253	q_A  = 2.93039	CLsb = 0.01732	CLb  = 0.34429	CLs  = 0.05030
+At r = 0.134562:	q_mu = 4.31868	q_A  = 2.94357	CLsb = 0.01715	CLb  = 0.34430	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1346
+Expected  2.5%: r < 0.0816
+Expected 16.0%: r < 0.1099
+Expected 50.0%: r < 0.1548
+Expected 84.0%: r < 0.2220
+Expected 97.5%: r < 0.3065
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_430_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_430_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c3e4f11
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_430_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.144043
+Sigma  for expected limits: 0.0734927
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -296.988 (r = 9.86049e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -298.466 (r = 1.25089e-06)
+At r = 1.200010:	q_mu = 105.28521	q_A  = 100.60718	CLsb = 0.00000	CLb  = 0.40781	CLs  = 0.00000
+At r = 0.600010:	q_mu = 45.38003	q_A  = 41.93349	CLsb = 0.00000	CLb  = 0.39507	CLs  = 0.00000
+At r = 0.300010:	q_mu = 16.52944	q_A  = 14.28676	CLsb = 0.00002	CLb  = 0.38336	CLs  = 0.00006
+At r = 0.150010:	q_mu = 5.42226	q_A  = 4.13691	CLsb = 0.00939	CLb  = 0.37601	CLs  = 0.02497
+At r = 0.075010:	q_mu = 1.78461	q_A  = 1.10518	CLsb = 0.08466	CLb  = 0.37329	CLs  = 0.22678
+At r = 0.112510:	q_mu = 3.39800	q_A  = 2.40493	CLsb = 0.03067	CLb  = 0.37441	CLs  = 0.08193
+At r = 0.132478:	q_mu = 4.42839	q_A  = 3.27695	CLsb = 0.01666	CLb  = 0.37523	CLs  = 0.04439
+At r = 0.125383:	q_mu = 4.04962	q_A  = 2.95374	CLsb = 0.02080	CLb  = 0.37493	CLs  = 0.05548
+At r = 0.129450:	q_mu = 4.26501	q_A  = 3.13719	CLsb = 0.01833	CLb  = 0.37510	CLs  = 0.04886
+At r = 0.128046:	q_mu = 4.19014	q_A  = 3.07331	CLsb = 0.01915	CLb  = 0.37504	CLs  = 0.05106
+At r = 0.128863:	q_mu = 4.23361	q_A  = 3.11038	CLsb = 0.01867	CLb  = 0.37507	CLs  = 0.04977
+At r = 0.128583:	q_mu = 4.21867	q_A  = 3.09764	CLsb = 0.01883	CLb  = 0.37506	CLs  = 0.05021
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1286
+Expected  2.5%: r < 0.0757
+Expected 16.0%: r < 0.1021
+Expected 50.0%: r < 0.1440
+Expected 84.0%: r < 0.2066
+Expected 97.5%: r < 0.2853
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_440_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_440_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..5c78ae0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_440_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.134277
+Sigma  for expected limits: 0.0685101
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -320.259 (r = 0.0208992)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -336.621 (r = 3.0859e-05)
+At r = 1.220899:	q_mu = 106.22323	q_A  = 111.65328	CLsb = 0.00000	CLb  = 0.60262	CLs  = 0.00000
+At r = 0.620899:	q_mu = 44.73804	q_A  = 48.60498	CLsb = 0.00000	CLb  = 0.61144	CLs  = 0.00000
+At r = 0.320899:	q_mu = 15.46765	q_A  = 17.93735	CLsb = 0.00004	CLb  = 0.61881	CLs  = 0.00007
+At r = 0.170899:	q_mu = 4.53881	q_A  = 5.96931	CLsb = 0.01657	CLb  = 0.62277	CLs  = 0.02660
+At r = 0.095899:	q_mu = 1.22005	q_A  = 2.01786	CLsb = 0.13468	CLb  = 0.62398	CLs  = 0.21583
+At r = 0.133399:	q_mu = 2.64797	q_A  = 3.77114	CLsb = 0.05184	CLb  = 0.62350	CLs  = 0.08315
+At r = 0.154287:	q_mu = 3.64837	q_A  = 4.94508	CLsb = 0.02806	CLb  = 0.62312	CLs  = 0.04503
+At r = 0.147259:	q_mu = 3.29655	q_A  = 4.53551	CLsb = 0.03471	CLb  = 0.62325	CLs  = 0.05570
+At r = 0.150114:	q_mu = 3.43760	q_A  = 4.70010	CLsb = 0.03186	CLb  = 0.62320	CLs  = 0.05113
+At r = 0.151537:	q_mu = 3.50883	q_A  = 4.78301	CLsb = 0.03052	CLb  = 0.62317	CLs  = 0.04898
+At r = 0.150705:	q_mu = 3.46713	q_A  = 4.73448	CLsb = 0.03130	CLb  = 0.62319	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1507
+Expected  2.5%: r < 0.0711
+Expected 16.0%: r < 0.0953
+Expected 50.0%: r < 0.1343
+Expected 84.0%: r < 0.1926
+Expected 97.5%: r < 0.2659
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_450_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..f202936
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_450_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.127441
+Sigma  for expected limits: 0.0650223
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -332.031 (r = 0.0938078)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -373.842 (r = 1.28426e-07)
+At r = 1.293808:	q_mu = 104.59995	q_A  = 128.10838	CLsb = 0.00000	CLb  = 0.86238	CLs  = 0.00000
+At r = 0.693808:	q_mu = 43.93206	q_A  = 61.42836	CLsb = 0.00000	CLb  = 0.88676	CLs  = 0.00000
+At r = 0.393808:	q_mu = 15.33356	q_A  = 27.39402	CLsb = 0.00005	CLb  = 0.90627	CLs  = 0.00005
+At r = 0.243808:	q_mu = 4.57631	q_A  = 12.48067	CLsb = 0.01621	CLb  = 0.91828	CLs  = 0.01765
+At r = 0.168808:	q_mu = 1.24160	q_A  = 6.49281	CLsb = 0.13258	CLb  = 0.92419	CLs  = 0.14346
+At r = 0.198991:	q_mu = 2.36559	q_A  = 8.73707	CLsb = 0.06202	CLb  = 0.92188	CLs  = 0.06727
+At r = 0.215906:	q_mu = 3.12909	q_A  = 10.09708	CLsb = 0.03845	CLb  = 0.92053	CLs  = 0.04177
+At r = 0.207418:	q_mu = 2.73472	q_A  = 9.40613	CLsb = 0.04909	CLb  = 0.92121	CLs  = 0.05329
+At r = 0.210894:	q_mu = 2.89348	q_A  = 9.68703	CLsb = 0.04447	CLb  = 0.92093	CLs  = 0.04829
+At r = 0.209216:	q_mu = 2.81636	q_A  = 9.55108	CLsb = 0.04665	CLb  = 0.92107	CLs  = 0.05065
+At r = 0.209916:	q_mu = 2.84839	q_A  = 9.60766	CLsb = 0.04573	CLb  = 0.92101	CLs  = 0.04965
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2099
+Expected  2.5%: r < 0.0672
+Expected 16.0%: r < 0.0903
+Expected 50.0%: r < 0.1274
+Expected 84.0%: r < 0.1818
+Expected 97.5%: r < 0.2501
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_460_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_460_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..00ef186
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_460_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.117676
+Sigma  for expected limits: 0.0600398
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -361.01 (r = 0.147056)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -424.724 (r = 3.25833e-06)
+At r = 1.347056:	q_mu = 107.33076	q_A  = 146.57085	CLsb = 0.00000	CLb  = 0.95965	CLs  = 0.00000
+At r = 0.747056:	q_mu = 45.22995	q_A  = 75.05046	CLsb = 0.00000	CLb  = 0.97368	CLs  = 0.00000
+At r = 0.447056:	q_mu = 15.97184	q_A  = 37.36948	CLsb = 0.00003	CLb  = 0.98285	CLs  = 0.00003
+At r = 0.297056:	q_mu = 4.84858	q_A  = 19.80510	CLsb = 0.01383	CLb  = 0.98772	CLs  = 0.01401
+At r = 0.222056:	q_mu = 1.33503	q_A  = 12.12212	CLsb = 0.12396	CLb  = 0.99000	CLs  = 0.12521
+At r = 0.259556:	q_mu = 2.86366	q_A  = 15.83042	CLsb = 0.04530	CLb  = 0.98889	CLs  = 0.04581
+At r = 0.249445:	q_mu = 2.40318	q_A  = 14.80169	CLsb = 0.06054	CLb  = 0.98919	CLs  = 0.06121
+At r = 0.255090:	q_mu = 2.65608	q_A  = 15.37359	CLsb = 0.05158	CLb  = 0.98902	CLs  = 0.05215
+At r = 0.257144:	q_mu = 2.75071	q_A  = 15.58317	CLsb = 0.04861	CLb  = 0.98896	CLs  = 0.04915
+At r = 0.256257:	q_mu = 2.70967	q_A  = 15.49255	CLsb = 0.04987	CLb  = 0.98899	CLs  = 0.05043
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2563
+Expected  2.5%: r < 0.0621
+Expected 16.0%: r < 0.0833
+Expected 50.0%: r < 0.1177
+Expected 84.0%: r < 0.1679
+Expected 97.5%: r < 0.2324
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_470_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_470_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..764f469
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_470_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.109863
+Sigma  for expected limits: 0.0560537
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -410.229 (r = 0.13955)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -476.552 (r = 1.18402e-06)
+At r = 1.339550:	q_mu = 117.51015	q_A  = 158.56189	CLsb = 0.00000	CLb  = 0.96011	CLs  = 0.00000
+At r = 0.739550:	q_mu = 50.16165	q_A  = 81.50445	CLsb = 0.00000	CLb  = 0.97414	CLs  = 0.00000
+At r = 0.439550:	q_mu = 17.93846	q_A  = 40.53451	CLsb = 0.00001	CLb  = 0.98347	CLs  = 0.00001
+At r = 0.289550:	q_mu = 5.49533	q_A  = 21.30199	CLsb = 0.00953	CLb  = 0.98843	CLs  = 0.00965
+At r = 0.214550:	q_mu = 1.51954	q_A  = 12.87434	CLsb = 0.10884	CLb  = 0.99075	CLs  = 0.10986
+At r = 0.252050:	q_mu = 3.25322	q_A  = 16.94145	CLsb = 0.03564	CLb  = 0.98962	CLs  = 0.03602
+At r = 0.235725:	q_mu = 2.43026	q_A  = 15.13025	CLsb = 0.05951	CLb  = 0.99012	CLs  = 0.06010
+At r = 0.243682:	q_mu = 2.81889	q_A  = 16.00575	CLsb = 0.04658	CLb  = 0.98988	CLs  = 0.04706
+At r = 0.240512:	q_mu = 2.66114	q_A  = 15.65525	CLsb = 0.05141	CLb  = 0.98997	CLs  = 0.05193
+At r = 0.242122:	q_mu = 2.74077	q_A  = 15.83298	CLsb = 0.04891	CLb  = 0.98992	CLs  = 0.04941
+At r = 0.241492:	q_mu = 2.70948	q_A  = 15.76334	CLsb = 0.04988	CLb  = 0.98994	CLs  = 0.05038
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.2415
+Expected  2.5%: r < 0.0579
+Expected 16.0%: r < 0.0778
+Expected 50.0%: r < 0.1099
+Expected 84.0%: r < 0.1576
+Expected 97.5%: r < 0.2162
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_480_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_480_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e0469e5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_480_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.103027
+Sigma  for expected limits: 0.0525659
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -481.248 (r = 0.0818097)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -530.713 (r = 1.09456e-05)
+At r = 1.281810:	q_mu = 136.19541	q_A  = 164.08707	CLsb = 0.00000	CLb  = 0.87273	CLs  = 0.00000
+At r = 0.681810:	q_mu = 59.50953	q_A  = 80.58416	CLsb = 0.00000	CLb  = 0.89664	CLs  = 0.00000
+At r = 0.381810:	q_mu = 21.62998	q_A  = 36.41596	CLsb = 0.00000	CLb  = 0.91678	CLs  = 0.00000
+At r = 0.231810:	q_mu = 6.65429	q_A  = 16.43048	CLsb = 0.00495	CLb  = 0.92974	CLs  = 0.00532
+At r = 0.156810:	q_mu = 1.83465	q_A  = 8.28935	CLsb = 0.08779	CLb  = 0.93632	CLs  = 0.09376
+At r = 0.194310:	q_mu = 3.93592	q_A  = 12.13232	CLsb = 0.02363	CLb  = 0.93309	CLs  = 0.02533
+At r = 0.178720:	q_mu = 2.98021	q_A  = 10.47295	CLsb = 0.04214	CLb  = 0.93446	CLs  = 0.04510
+At r = 0.171868:	q_mu = 2.59616	q_A  = 9.77049	CLsb = 0.05356	CLb  = 0.93505	CLs  = 0.05728
+At r = 0.174985:	q_mu = 2.76803	q_A  = 10.08791	CLsb = 0.04808	CLb  = 0.93478	CLs  = 0.05144
+At r = 0.176376:	q_mu = 2.84625	q_A  = 10.23070	CLsb = 0.04579	CLb  = 0.93466	CLs  = 0.04899
+At r = 0.175633:	q_mu = 2.80435	q_A  = 10.15435	CLsb = 0.04700	CLb  = 0.93473	CLs  = 0.05029
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1756
+Expected  2.5%: r < 0.0543
+Expected 16.0%: r < 0.0737
+Expected 50.0%: r < 0.1030
+Expected 84.0%: r < 0.1478
+Expected 97.5%: r < 0.2027
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_490_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_490_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..50d88b0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_490_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.097168
+Sigma  for expected limits: 0.0495764
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -566.492 (r = 0.0155785)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -587.977 (r = 9.3546e-06)
+At r = 1.215579:	q_mu = 160.08055	q_A  = 167.47760	CLsb = 0.00000	CLb  = 0.61372	CLs  = 0.00000
+At r = 0.615579:	q_mu = 71.83815	q_A  = 77.18490	CLsb = 0.00000	CLb  = 0.62163	CLs  = 0.00000
+At r = 0.315579:	q_mu = 26.54255	q_A  = 30.03555	CLsb = 0.00000	CLb  = 0.62874	CLs  = 0.00000
+At r = 0.165579:	q_mu = 8.15378	q_A  = 10.20203	CLsb = 0.00215	CLb  = 0.63254	CLs  = 0.00340
+At r = 0.090579:	q_mu = 2.22399	q_A  = 3.35446	CLsb = 0.06794	CLb  = 0.63315	CLs  = 0.10731
+At r = 0.128079:	q_mu = 4.80277	q_A  = 6.40849	CLsb = 0.01421	CLb  = 0.63306	CLs  = 0.02244
+At r = 0.112720:	q_mu = 3.64408	q_A  = 5.05896	CLsb = 0.02813	CLb  = 0.63317	CLs  = 0.04443
+At r = 0.105920:	q_mu = 3.17530	q_A  = 4.50404	CLsb = 0.03738	CLb  = 0.63320	CLs  = 0.05903
+At r = 0.109100:	q_mu = 3.39098	q_A  = 4.76020	CLsb = 0.03278	CLb  = 0.63320	CLs  = 0.05176
+At r = 0.110482:	q_mu = 3.48661	q_A  = 4.87334	CLsb = 0.03093	CLb  = 0.63319	CLs  = 0.04885
+At r = 0.109762:	q_mu = 3.43666	q_A  = 4.81429	CLsb = 0.03188	CLb  = 0.63319	CLs  = 0.05035
+At r = 0.110040:	q_mu = 3.45588	q_A  = 4.83702	CLsb = 0.03151	CLb  = 0.63319	CLs  = 0.04977
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1100
+Expected  2.5%: r < 0.0512
+Expected 16.0%: r < 0.0688
+Expected 50.0%: r < 0.0972
+Expected 84.0%: r < 0.1386
+Expected 97.5%: r < 0.1907
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_500_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..a9088de
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_500_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0942383
+Sigma  for expected limits: 0.0480816
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -634.228 (r = 7.54527e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -627.559 (r = 2.62826e-06)
+At r = 1.200000:	q_mu = 183.98544	q_A  = 172.94250	CLsb = 0.00000	CLb  = 0.33729	CLs  = 0.00000
+At r = 0.600000:	q_mu = 87.02337	q_A  = 78.61215	CLsb = 0.00000	CLb  = 0.31763	CLs  = 0.00000
+At r = 0.300000:	q_mu = 35.18055	q_A  = 29.39345	CLsb = 0.00000	CLb  = 0.29677	CLs  = 0.00000
+At r = 0.150000:	q_mu = 12.59340	q_A  = 9.09924	CLsb = 0.00016	CLb  = 0.28124	CLs  = 0.00058
+At r = 0.075000:	q_mu = 4.40097	q_A  = 2.49889	CLsb = 0.01454	CLb  = 0.27371	CLs  = 0.05312
+At r = 0.112500:	q_mu = 8.11387	q_A  = 5.37325	CLsb = 0.00181	CLb  = 0.27721	CLs  = 0.00654
+At r = 0.093750:	q_mu = 6.15035	q_A  = 3.81838	CLsb = 0.00537	CLb  = 0.27536	CLs  = 0.01952
+At r = 0.079657:	q_mu = 4.81413	q_A  = 2.80332	CLsb = 0.01146	CLb  = 0.27409	CLs  = 0.04181
+At r = 0.076873:	q_mu = 4.56541	q_A  = 2.61945	CLsb = 0.01322	CLb  = 0.27386	CLs  = 0.04828
+At r = 0.075949:	q_mu = 4.48399	q_A  = 2.55965	CLsb = 0.01386	CLb  = 0.27379	CLs  = 0.05062
+At r = 0.076325:	q_mu = 4.51705	q_A  = 2.58390	CLsb = 0.01360	CLb  = 0.27382	CLs  = 0.04965
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0763
+Expected  2.5%: r < 0.0497
+Expected 16.0%: r < 0.0667
+Expected 50.0%: r < 0.0942
+Expected 84.0%: r < 0.1337
+Expected 97.5%: r < 0.1844
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_510_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_510_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..fa0c19d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_510_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0883789
+Sigma  for expected limits: 0.0450921
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -718.322 (r = 6.65587e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -694.317 (r = 7.67502e-07)
+At r = 1.200001:	q_mu = 207.26985	q_A  = 185.37901	CLsb = 0.00000	CLb  = 0.21073	CLs  = 0.00000
+At r = 0.600001:	q_mu = 101.99467	q_A  = 85.40118	CLsb = 0.00000	CLb  = 0.18465	CLs  = 0.00000
+At r = 0.300001:	q_mu = 43.86608	q_A  = 32.45423	CLsb = 0.00000	CLb  = 0.15827	CLs  = 0.00000
+At r = 0.150001:	q_mu = 17.09070	q_A  = 10.17976	CLsb = 0.00001	CLb  = 0.13940	CLs  = 0.00007
+At r = 0.075001:	q_mu = 6.58559	q_A  = 2.81326	CLsb = 0.00254	CLb  = 0.13039	CLs  = 0.01949
+At r = 0.037501:	q_mu = 2.69045	q_A  = 0.73933	CLsb = 0.02305	CLb  = 0.12828	CLs  = 0.17971
+At r = 0.056251:	q_mu = 4.50114	q_A  = 1.62013	CLsb = 0.00810	CLb  = 0.12888	CLs  = 0.06282
+At r = 0.062925:	q_mu = 5.21337	q_A  = 2.01043	CLsb = 0.00543	CLb  = 0.12935	CLs  = 0.04196
+At r = 0.059270:	q_mu = 4.81909	q_A  = 1.79185	CLsb = 0.00677	CLb  = 0.12908	CLs  = 0.05243
+At r = 0.060624:	q_mu = 4.96395	q_A  = 1.87144	CLsb = 0.00624	CLb  = 0.12917	CLs  = 0.04830
+At r = 0.059897:	q_mu = 4.88600	q_A  = 1.82849	CLsb = 0.00652	CLb  = 0.12912	CLs  = 0.05048
+At r = 0.060169:	q_mu = 4.91508	q_A  = 1.84449	CLsb = 0.00641	CLb  = 0.12914	CLs  = 0.04966
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0602
+Expected  2.5%: r < 0.0466
+Expected 16.0%: r < 0.0626
+Expected 50.0%: r < 0.0884
+Expected 84.0%: r < 0.1261
+Expected 97.5%: r < 0.1734
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_520_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_520_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e61a16c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_520_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0844727
+Sigma  for expected limits: 0.0430991
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -780.666 (r = 2.7558e-11)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -746.405 (r = 8.47981e-06)
+At r = 1.200000:	q_mu = 221.47819	q_A  = 194.10562	CLsb = 0.00000	CLb  = 0.16296	CLs  = 0.00000
+At r = 0.600000:	q_mu = 111.05624	q_A  = 90.16450	CLsb = 0.00000	CLb  = 0.13565	CLs  = 0.00000
+At r = 0.300000:	q_mu = 49.07584	q_A  = 34.64828	CLsb = 0.00000	CLb  = 0.11019	CLs  = 0.00000
+At r = 0.150000:	q_mu = 19.75842	q_A  = 10.96852	CLsb = 0.00000	CLb  = 0.09225	CLs  = 0.00002
+At r = 0.075000:	q_mu = 7.86534	q_A  = 3.04461	CLsb = 0.00089	CLb  = 0.08358	CLs  = 0.01059
+At r = 0.037500:	q_mu = 3.29998	q_A  = 0.80046	CLsb = 0.01097	CLb  = 0.08123	CLs  = 0.13500
+At r = 0.056250:	q_mu = 5.44066	q_A  = 1.75434	CLsb = 0.00330	CLb  = 0.08203	CLs  = 0.04027
+At r = 0.049816:	q_mu = 4.67249	q_A  = 1.38785	CLsb = 0.00505	CLb  = 0.08165	CLs  = 0.06189
+At r = 0.053658:	q_mu = 5.12704	q_A  = 1.60181	CLsb = 0.00393	CLb  = 0.08186	CLs  = 0.04797
+At r = 0.052389:	q_mu = 4.97561	q_A  = 1.52956	CLsb = 0.00427	CLb  = 0.08178	CLs  = 0.05221
+At r = 0.052908:	q_mu = 5.03733	q_A  = 1.55890	CLsb = 0.00413	CLb  = 0.08181	CLs  = 0.05044
+At r = 0.053162:	q_mu = 5.06771	q_A  = 1.57339	CLsb = 0.00406	CLb  = 0.08183	CLs  = 0.04959
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0532
+Expected  2.5%: r < 0.0445
+Expected 16.0%: r < 0.0605
+Expected 50.0%: r < 0.0845
+Expected 84.0%: r < 0.1205
+Expected 97.5%: r < 0.1658
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_530_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_530_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..fb31597
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_530_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.081543
+Sigma  for expected limits: 0.0416043
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -846.011 (r = 3.84703e-11)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -800.733 (r = 5.41362e-06)
+At r = 1.200000:	q_mu = 234.94974	q_A  = 202.11615	CLsb = 0.00000	CLb  = 0.12410	CLs  = 0.00000
+At r = 0.600000:	q_mu = 119.78155	q_A  = 94.82583	CLsb = 0.00000	CLb  = 0.10003	CLs  = 0.00000
+At r = 0.300000:	q_mu = 54.06491	q_A  = 36.86317	CLsb = 0.00000	CLb  = 0.07830	CLs  = 0.00000
+At r = 0.150000:	q_mu = 22.26226	q_A  = 11.78450	CLsb = 0.00000	CLb  = 0.06349	CLs  = 0.00001
+At r = 0.075000:	q_mu = 9.03162	q_A  = 3.28702	CLsb = 0.00034	CLb  = 0.05657	CLs  = 0.00602
+At r = 0.037500:	q_mu = 3.84074	q_A  = 0.86476	CLsb = 0.00570	CLb  = 0.05479	CLs  = 0.10409
+At r = 0.056250:	q_mu = 6.28664	q_A  = 1.89531	CLsb = 0.00148	CLb  = 0.05537	CLs  = 0.02675
+At r = 0.045595:	q_mu = 4.85756	q_A  = 1.26337	CLsb = 0.00324	CLb  = 0.05493	CLs  = 0.05892
+At r = 0.049498:	q_mu = 5.36946	q_A  = 1.48104	CLsb = 0.00244	CLb  = 0.05507	CLs  = 0.04435
+At r = 0.047399:	q_mu = 5.09244	q_A  = 1.36194	CLsb = 0.00284	CLb  = 0.05499	CLs  = 0.05171
+At r = 0.048186:	q_mu = 5.19585	q_A  = 1.40604	CLsb = 0.00269	CLb  = 0.05502	CLs  = 0.04883
+At r = 0.047768:	q_mu = 5.14081	q_A  = 1.38251	CLsb = 0.00277	CLb  = 0.05500	CLs  = 0.05034
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0478
+Expected  2.5%: r < 0.0430
+Expected 16.0%: r < 0.0578
+Expected 50.0%: r < 0.0815
+Expected 84.0%: r < 0.1157
+Expected 97.5%: r < 0.1596
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_540_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_540_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..21ebfe5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_540_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0786133
+Sigma  for expected limits: 0.0401096
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -917.167 (r = 5.43947e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -859.059 (r = 1.62209e-06)
+At r = 1.200000:	q_mu = 250.73251	q_A  = 210.63783	CLsb = 0.00000	CLb  = 0.08359	CLs  = 0.00000
+At r = 0.600000:	q_mu = 130.74554	q_A  = 99.52974	CLsb = 0.00000	CLb  = 0.05885	CLs  = 0.00000
+At r = 0.300000:	q_mu = 60.79075	q_A  = 39.14702	CLsb = 0.00000	CLb  = 0.04185	CLs  = 0.00000
+At r = 0.150000:	q_mu = 25.91910	q_A  = 12.64162	CLsb = 0.00000	CLb  = 0.03094	CLs  = 0.00000
+At r = 0.075000:	q_mu = 10.86331	q_A  = 3.54426	CLsb = 0.00006	CLb  = 0.02596	CLs  = 0.00250
+At r = 0.037500:	q_mu = 4.73508	q_A  = 0.93317	CLsb = 0.00167	CLb  = 0.02454	CLs  = 0.06820
+At r = 0.056250:	q_mu = 7.64788	q_A  = 2.04515	CLsb = 0.00035	CLb  = 0.02506	CLs  = 0.01400
+At r = 0.046875:	q_mu = 6.15079	q_A  = 1.43850	CLsb = 0.00078	CLb  = 0.02474	CLs  = 0.03147
+At r = 0.042386:	q_mu = 5.46253	q_A  = 1.18385	CLsb = 0.00113	CLb  = 0.02464	CLs  = 0.04579
+At r = 0.040545:	q_mu = 5.18565	q_A  = 1.08595	CLsb = 0.00131	CLb  = 0.02459	CLs  = 0.05327
+At r = 0.041530:	q_mu = 5.33330	q_A  = 1.13772	CLsb = 0.00121	CLb  = 0.02461	CLs  = 0.04914
+At r = 0.041164:	q_mu = 5.27829	q_A  = 1.11833	CLsb = 0.00125	CLb  = 0.02460	CLs  = 0.05064
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0412
+Expected  2.5%: r < 0.0415
+Expected 16.0%: r < 0.0557
+Expected 50.0%: r < 0.0786
+Expected 84.0%: r < 0.1115
+Expected 97.5%: r < 0.1529
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_550_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..5ce278a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_550_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.852289 (0.042614 times rMax), while it should be at zero
+Median for expected limits: 22.3125
+Sigma  for expected limits: 11.3841
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0998613 (r = 3.47038)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.172665 (r = 1.1436)
+At r = 32.533466:	q_mu = 6.67046	q_A  = 7.96513	CLsb = 0.00490	CLb  = 0.59465	CLs  = 0.00824
+At r = 18.001925:	q_mu = 1.80784	q_A  = 2.49579	CLsb = 0.08938	CLb  = 0.59299	CLs  = 0.15073
+At r = 25.267696:	q_mu = 3.91778	q_A  = 4.91660	CLsb = 0.02389	CLb  = 0.59406	CLs  = 0.04021
+At r = 21.634810:	q_mu = 2.77455	q_A  = 3.61951	CLsb = 0.04789	CLb  = 0.59360	CLs  = 0.08067
+At r = 23.631785:	q_mu = 3.38215	q_A  = 4.31214	CLsb = 0.03295	CLb  = 0.59387	CLs  = 0.05549
+At r = 24.382324:	q_mu = 3.62411	q_A  = 4.58576	CLsb = 0.02847	CLb  = 0.59395	CLs  = 0.04794
+At r = 24.059442:	q_mu = 3.51909	q_A  = 4.46713	CLsb = 0.03033	CLb  = 0.59392	CLs  = 0.05107
+At r = 24.210619:	q_mu = 3.56805	q_A  = 4.52247	CLsb = 0.02945	CLb  = 0.59394	CLs  = 0.04959
+At r = 24.146316:	q_mu = 3.54717	q_A  = 4.49887	CLsb = 0.02982	CLb  = 0.59393	CLs  = 0.05021
+
+ -- Asymptotic -- 
+Observed Limit: r < 24.1463
+Expected  2.5%: r < 12.3329
+Expected 16.0%: r < 16.1532
+Expected 50.0%: r < 22.3125
+Expected 84.0%: r < 31.2953
+Expected 97.5%: r < 42.8611
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_570_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c261550
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_570_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 22.6875
+Sigma  for expected limits: 11.5755
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.29609 (r = 12.9224)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.213106 (r = 0.0013257)
+At r = 47.390711:	q_mu = 7.53506	q_A  = 14.34208	CLsb = 0.00303	CLb  = 0.85131	CLs  = 0.00355
+At r = 30.156558:	q_mu = 2.09384	q_A  = 6.46977	CLsb = 0.07395	CLb  = 0.86358	CLs  = 0.08563
+At r = 38.773635:	q_mu = 4.47571	q_A  = 10.14138	CLsb = 0.01719	CLb  = 0.85746	CLs  = 0.02005
+At r = 34.434354:	q_mu = 3.18197	q_A  = 8.21768	CLsb = 0.03723	CLb  = 0.86056	CLs  = 0.04326
+At r = 32.853022:	q_mu = 2.75701	q_A  = 7.55340	CLsb = 0.04841	CLb  = 0.86169	CLs  = 0.05619
+At r = 33.733696:	q_mu = 2.99087	q_A  = 7.92113	CLsb = 0.04187	CLb  = 0.86105	CLs  = 0.04862
+At r = 33.421561:	q_mu = 2.90698	q_A  = 7.78999	CLsb = 0.04410	CLb  = 0.86128	CLs  = 0.05120
+At r = 33.598777:	q_mu = 2.95444	q_A  = 7.86431	CLsb = 0.04282	CLb  = 0.86115	CLs  = 0.04973
+
+ -- Asymptotic -- 
+Observed Limit: r < 33.5988
+Expected  2.5%: r < 11.9198
+Expected 16.0%: r < 16.0839
+Expected 50.0%: r < 22.6875
+Expected 84.0%: r < 32.5447
+Expected 97.5%: r < 44.9302
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_600_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..be83b2a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_600_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.222329 (0.011116 times rMax), while it should be at zero
+Median for expected limits: 19.8125
+Sigma  for expected limits: 10.1086
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.32986 (r = 4.41047e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.160612 (r = 0.248848)
+At r = 92.474877:	q_mu = 52.06770	q_A  = 49.66826	CLsb = 0.00000	CLb  = 0.43241	CLs  = 0.00000
+At r = 46.237440:	q_mu = 19.37494	q_A  = 17.43241	CLsb = 0.00001	CLb  = 0.40803	CLs  = 0.00001
+At r = 23.118722:	q_mu = 6.45664	q_A  = 5.15450	CLsb = 0.00528	CLb  = 0.38714	CLs  = 0.01363
+At r = 11.559363:	q_mu = 2.12025	q_A  = 1.36351	CLsb = 0.06789	CLb  = 0.37296	CLs  = 0.18202
+At r = 17.339043:	q_mu = 4.05205	q_A  = 2.99851	CLsb = 0.02088	CLb  = 0.38049	CLs  = 0.05489
+At r = 20.228883:	q_mu = 5.20025	q_A  = 4.01679	CLsb = 0.01074	CLb  = 0.38390	CLs  = 0.02798
+At r = 18.236939:	q_mu = 4.39663	q_A  = 3.30146	CLsb = 0.01707	CLb  = 0.38157	CLs  = 0.04474
+At r = 17.846438:	q_mu = 4.24546	q_A  = 3.16826	CLsb = 0.01865	CLb  = 0.38110	CLs  = 0.04893
+At r = 17.668347:	q_mu = 4.17727	q_A  = 3.10834	CLsb = 0.01940	CLb  = 0.38089	CLs  = 0.05095
+At r = 17.770015:	q_mu = 4.21613	q_A  = 3.14247	CLsb = 0.01897	CLb  = 0.38101	CLs  = 0.04979
+At r = 17.734484:	q_mu = 4.20253	q_A  = 3.13052	CLsb = 0.01912	CLb  = 0.38097	CLs  = 0.05019
+
+ -- Asymptotic -- 
+Observed Limit: r < 17.7345
+Expected  2.5%: r < 10.4867
+Expected 16.0%: r < 14.0567
+Expected 50.0%: r < 19.8125
+Expected 84.0%: r < 28.2627
+Expected 97.5%: r < 38.8824
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_620_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..5d91a18
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_620_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.064542 (0.003227 times rMax), while it should be at zero
+Median for expected limits: 17.5625
+Sigma  for expected limits: 8.96062
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0273718 (r = 3.4271)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.14862 (r = 0.0426501)
+At r = 26.289981:	q_mu = 6.20546	q_A  = 8.03397	CLsb = 0.00637	CLb  = 0.63433	CLs  = 0.01004
+At r = 14.858539:	q_mu = 1.70807	q_A  = 2.81092	CLsb = 0.09562	CLb  = 0.64418	CLs  = 0.14843
+At r = 20.574260:	q_mu = 3.66798	q_A  = 5.15876	CLsb = 0.02773	CLb  = 0.63911	CLs  = 0.04339
+At r = 18.904242:	q_mu = 3.03096	q_A  = 4.41383	CLsb = 0.04084	CLb  = 0.64056	CLs  = 0.06376
+At r = 19.748363:	q_mu = 3.34648	q_A  = 4.78445	CLsb = 0.03367	CLb  = 0.63983	CLs  = 0.05263
+At r = 20.089084:	q_mu = 3.47760	q_A  = 4.93749	CLsb = 0.03110	CLb  = 0.63953	CLs  = 0.04863
+At r = 19.925283:	q_mu = 3.41429	q_A  = 4.86367	CLsb = 0.03232	CLb  = 0.63968	CLs  = 0.05052
+At r = 19.993705:	q_mu = 3.44068	q_A  = 4.89445	CLsb = 0.03180	CLb  = 0.63962	CLs  = 0.04972
+
+ -- Asymptotic -- 
+Observed Limit: r < 19.9937
+Expected  2.5%: r < 9.2272
+Expected 16.0%: r < 12.4506
+Expected 50.0%: r < 17.5625
+Expected 84.0%: r < 25.1930
+Expected 97.5%: r < 34.7807
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_650_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e0bb95b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_650_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.067475 (0.003374 times rMax), while it should be at zero
+Median for expected limits: 15.4375
+Sigma  for expected limits: 7.87642
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.13315 (r = 1.9983e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.137323 (r = 0.0149591)
+At r = 7.585524:	q_mu = 3.80936	q_A  = 0.98082	CLsb = 0.00779	CLb  = 0.07664	CLs  = 0.10170
+At r = 15.171048:	q_mu = 9.03712	q_A  = 3.69742	CLsb = 0.00046	CLb  = 0.08250	CLs  = 0.00563
+At r = 7.585524:	q_mu = 3.80925	q_A  = 0.98083	CLsb = 0.00780	CLb  = 0.07665	CLs  = 0.10171
+At r = 11.378286:	q_mu = 6.27308	q_A  = 2.14739	CLsb = 0.00203	CLb  = 0.07961	CLs  = 0.02553
+At r = 9.144168:	q_mu = 4.78200	q_A  = 1.41036	CLsb = 0.00457	CLb  = 0.07787	CLs  = 0.05863
+At r = 9.933166:	q_mu = 5.29600	q_A  = 1.65472	CLsb = 0.00345	CLb  = 0.07848	CLs  = 0.04395
+At r = 9.492809:	q_mu = 5.00739	q_A  = 1.51616	CLsb = 0.00404	CLb  = 0.07814	CLs  = 0.05166
+At r = 9.651915:	q_mu = 5.11116	q_A  = 1.56558	CLsb = 0.00381	CLb  = 0.07827	CLs  = 0.04874
+At r = 9.564116:	q_mu = 5.05382	q_A  = 1.53821	CLsb = 0.00394	CLb  = 0.07820	CLs  = 0.05033
+At r = 9.595997:	q_mu = 5.07462	q_A  = 1.54812	CLsb = 0.00389	CLb  = 0.07822	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 9.5960
+Expected  2.5%: r < 8.1710
+Expected 16.0%: r < 10.9811
+Expected 50.0%: r < 15.4375
+Expected 84.0%: r < 22.1448
+Expected 97.5%: r < 30.7661
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_670_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_670_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..5220a11
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_670_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.020142 (0.001007 times rMax), while it should be at zero
+Median for expected limits: 14.3125
+Sigma  for expected limits: 7.30243
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 6.56595 (r = 3.0721e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.139688 (r = 0.00417938)
+At r = 3.645501:	q_mu = 2.93068	q_A  = 0.27478	CLsb = 0.00112	CLb  = 0.00565	CLs  = 0.19753
+At r = 7.291001:	q_mu = 6.21226	q_A  = 1.06500	CLsb = 0.00021	CLb  = 0.00632	CLs  = 0.03341
+At r = 3.645501:	q_mu = 2.93068	q_A  = 0.27478	CLsb = 0.00112	CLb  = 0.00565	CLs  = 0.19753
+At r = 5.468251:	q_mu = 4.53238	q_A  = 0.60875	CLsb = 0.00049	CLb  = 0.00596	CLs  = 0.08265
+At r = 6.277316:	q_mu = 5.26826	q_A  = 0.79680	CLsb = 0.00034	CLb  = 0.00613	CLs  = 0.05552
+At r = 6.647338:	q_mu = 5.61023	q_A  = 0.89077	CLsb = 0.00029	CLb  = 0.00621	CLs  = 0.04618
+At r = 6.445590:	q_mu = 5.42338	q_A  = 0.83886	CLsb = 0.00031	CLb  = 0.00616	CLs  = 0.05107
+At r = 6.519842:	q_mu = 5.49204	q_A  = 0.85775	CLsb = 0.00030	CLb  = 0.00618	CLs  = 0.04921
+At r = 6.479547:	q_mu = 5.45476	q_A  = 0.84745	CLsb = 0.00031	CLb  = 0.00617	CLs  = 0.05021
+At r = 6.494414:	q_mu = 5.46851	q_A  = 0.85124	CLsb = 0.00031	CLb  = 0.00617	CLs  = 0.04984
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.4944
+Expected  2.5%: r < 7.5197
+Expected 16.0%: r < 10.1466
+Expected 50.0%: r < 14.3125
+Expected 84.0%: r < 20.5310
+Expected 97.5%: r < 28.5240
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_700_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_700_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6c6e5e5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_700_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 13.0625
+Sigma  for expected limits: 6.66466
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.40867 (r = 4.94184e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.147155 (r = 4.57929e-05)
+At r = 7.391949:	q_mu = 3.27417	q_A  = 1.30873	CLsb = 0.02259	CLb  = 0.19516	CLs  = 0.11574
+At r = 14.783898:	q_mu = 8.51241	q_A  = 4.81702	CLsb = 0.00120	CLb  = 0.19993	CLs  = 0.00598
+At r = 7.391974:	q_mu = 3.27418	q_A  = 1.30874	CLsb = 0.02259	CLb  = 0.19516	CLs  = 0.11574
+At r = 11.087936:	q_mu = 5.68885	q_A  = 2.82685	CLsb = 0.00566	CLb  = 0.19735	CLs  = 0.02870
+At r = 9.171532:	q_mu = 4.38077	q_A  = 1.97583	CLsb = 0.01188	CLb  = 0.19615	CLs  = 0.06055
+At r = 9.947877:	q_mu = 4.89744	q_A  = 2.30530	CLsb = 0.00885	CLb  = 0.19666	CLs  = 0.04499
+At r = 9.571786:	q_mu = 4.64451	q_A  = 2.14270	CLsb = 0.01021	CLb  = 0.19640	CLs  = 0.05201
+At r = 9.728823:	q_mu = 4.74951	q_A  = 2.20990	CLsb = 0.00962	CLb  = 0.19650	CLs  = 0.04897
+At r = 9.653977:	q_mu = 4.69935	q_A  = 2.17774	CLsb = 0.00990	CLb  = 0.19645	CLs  = 0.05040
+At r = 9.685465:	q_mu = 4.72042	q_A  = 2.19123	CLsb = 0.00978	CLb  = 0.19647	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 9.6855
+Expected  2.5%: r < 6.8629
+Expected 16.0%: r < 9.2120
+Expected 50.0%: r < 13.0625
+Expected 84.0%: r < 18.7379
+Expected 97.5%: r < 26.0328
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_720_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_720_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..70f7481
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_720_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 12.2812
+Sigma  for expected limits: 6.26606
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.96854 (r = 3.23053)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.155656 (r = 0.00394496)
+At r = 20.804360:	q_mu = 7.05885	q_A  = 9.85528	CLsb = 0.00394	CLb  = 0.68526	CLs  = 0.00576
+At r = 12.017446:	q_mu = 1.97316	q_A  = 3.67759	CLsb = 0.08006	CLb  = 0.69603	CLs  = 0.11502
+At r = 16.410903:	q_mu = 4.20310	q_A  = 6.48958	CLsb = 0.02018	CLb  = 0.69052	CLs  = 0.02922
+At r = 14.154190:	q_mu = 2.97045	q_A  = 4.96755	CLsb = 0.04240	CLb  = 0.69333	CLs  = 0.06115
+At r = 15.097703:	q_mu = 3.46452	q_A  = 5.58501	CLsb = 0.03135	CLb  = 0.69215	CLs  = 0.04529
+At r = 14.660426:	q_mu = 3.23163	q_A  = 5.29569	CLsb = 0.03611	CLb  = 0.69272	CLs  = 0.05213
+At r = 14.851834:	q_mu = 3.33285	q_A  = 5.42151	CLsb = 0.03395	CLb  = 0.69245	CLs  = 0.04904
+At r = 14.764880:	q_mu = 3.28668	q_A  = 5.36419	CLsb = 0.03492	CLb  = 0.69257	CLs  = 0.05042
+At r = 14.803297:	q_mu = 3.30704	q_A  = 5.38948	CLsb = 0.03449	CLb  = 0.69252	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 14.8033
+Expected  2.5%: r < 6.4525
+Expected 16.0%: r < 8.6838
+Expected 50.0%: r < 12.2812
+Expected 84.0%: r < 17.7151
+Expected 97.5%: r < 24.5397
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_750_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..34949f3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_750_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 11.3438
+Sigma  for expected limits: 5.78773
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.68855 (r = 6.94254)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.165843 (r = 0.003173)
+At r = 24.248580:	q_mu = 7.06852	q_A  = 14.65866	CLsb = 0.00392	CLb  = 0.87900	CLs  = 0.00446
+At r = 15.595559:	q_mu = 1.98736	q_A  = 6.83311	CLsb = 0.07931	CLb  = 0.88576	CLs  = 0.08954
+At r = 19.922070:	q_mu = 4.21907	q_A  = 10.50681	CLsb = 0.01999	CLb  = 0.88246	CLs  = 0.02265
+At r = 17.927932:	q_mu = 3.10503	q_A  = 8.74622	CLsb = 0.03903	CLb  = 0.88401	CLs  = 0.04415
+At r = 17.132876:	q_mu = 2.70052	q_A  = 8.07539	CLsb = 0.05016	CLb  = 0.88462	CLs  = 0.05670
+At r = 17.452444:	q_mu = 2.86060	q_A  = 8.34301	CLsb = 0.04539	CLb  = 0.88437	CLs  = 0.05132
+At r = 17.613422:	q_mu = 2.94221	q_A  = 8.47913	CLsb = 0.04315	CLb  = 0.88427	CLs  = 0.04879
+At r = 17.518942:	q_mu = 2.89404	q_A  = 8.39911	CLsb = 0.04445	CLb  = 0.88433	CLs  = 0.05027
+
+ -- Asymptotic -- 
+Observed Limit: r < 17.5189
+Expected  2.5%: r < 5.9599
+Expected 16.0%: r < 8.0419
+Expected 50.0%: r < 11.3438
+Expected 84.0%: r < 16.3628
+Expected 97.5%: r < 22.6665
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_770_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_770_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..58cb08d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_770_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.025041 (0.001252 times rMax), while it should be at zero
+Median for expected limits: 10.7188
+Sigma  for expected limits: 5.46885
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.48978 (r = 7.7411)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.169853 (r = 0.00378125)
+At r = 24.134142:	q_mu = 7.11427	q_A  = 16.12564	CLsb = 0.00382	CLb  = 0.91124	CLs  = 0.00420
+At r = 15.937621:	q_mu = 2.00459	q_A  = 7.92401	CLsb = 0.07841	CLb  = 0.91911	CLs  = 0.08531
+At r = 20.035882:	q_mu = 4.25017	q_A  = 11.79955	CLsb = 0.01962	CLb  = 0.91519	CLs  = 0.02144
+At r = 18.025749:	q_mu = 3.06250	q_A  = 9.83459	CLsb = 0.04006	CLb  = 0.91713	CLs  = 0.04368
+At r = 17.270860:	q_mu = 2.65833	q_A  = 9.12761	CLsb = 0.05150	CLb  = 0.91785	CLs  = 0.05611
+At r = 17.699937:	q_mu = 2.88574	q_A  = 9.52772	CLsb = 0.04468	CLb  = 0.91742	CLs  = 0.04871
+At r = 17.550528:	q_mu = 2.80552	q_A  = 9.38763	CLsb = 0.04697	CLb  = 0.91758	CLs  = 0.05119
+At r = 17.636899:	q_mu = 2.85174	q_A  = 9.46850	CLsb = 0.04564	CLb  = 0.91749	CLs  = 0.04974
+
+ -- Asymptotic -- 
+Observed Limit: r < 17.6369
+Expected  2.5%: r < 5.5897
+Expected 16.0%: r < 7.5531
+Expected 50.0%: r < 10.7188
+Expected 84.0%: r < 15.3758
+Expected 97.5%: r < 21.2274
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_800_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c9995e2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_800_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.90625
+Sigma  for expected limits: 5.0543
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.86048 (r = 4.54466)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.16756 (r = 0.000753632)
+At r = 19.113986:	q_mu = 6.99479	q_A  = 12.48890	CLsb = 0.00409	CLb  = 0.81305	CLs  = 0.00503
+At r = 11.829324:	q_mu = 1.94808	q_A  = 5.34524	CLsb = 0.08140	CLb  = 0.82023	CLs  = 0.09924
+At r = 15.471655:	q_mu = 4.15768	q_A  = 8.65511	CLsb = 0.02072	CLb  = 0.81672	CLs  = 0.02537
+At r = 13.293924:	q_mu = 2.75223	q_A  = 6.60474	CLsb = 0.04856	CLb  = 0.81885	CLs  = 0.05930
+At r = 14.079618:	q_mu = 3.23161	q_A  = 7.32118	CLsb = 0.03611	CLb  = 0.81809	CLs  = 0.04415
+At r = 13.657273:	q_mu = 2.97057	q_A  = 6.93320	CLsb = 0.04240	CLb  = 0.81847	CLs  = 0.05180
+At r = 13.816441:	q_mu = 3.06769	q_A  = 7.07836	CLsb = 0.03993	CLb  = 0.81833	CLs  = 0.04880
+At r = 13.732639:	q_mu = 3.01634	q_A  = 7.00175	CLsb = 0.04121	CLb  = 0.81841	CLs  = 0.05036
+At r = 13.764627:	q_mu = 3.03588	q_A  = 7.03094	CLsb = 0.04072	CLb  = 0.81838	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 13.7646
+Expected  2.5%: r < 5.2047
+Expected 16.0%: r < 6.9861
+Expected 50.0%: r < 9.9062
+Expected 84.0%: r < 14.2103
+Expected 97.5%: r < 19.6183
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_820_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_820_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..3c67090
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_820_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.40625
+Sigma  for expected limits: 4.7992
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.92843 (r = 1.1312)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.16515 (r = 0.000830782)
+At r = 14.272387:	q_mu = 6.69158	q_A  = 8.19180	CLsb = 0.00484	CLb  = 0.60847	CLs  = 0.00796
+At r = 7.701796:	q_mu = 1.84678	q_A  = 2.65107	CLsb = 0.08708	CLb  = 0.60613	CLs  = 0.14366
+At r = 10.987092:	q_mu = 3.96037	q_A  = 5.12112	CLsb = 0.02329	CLb  = 0.60754	CLs  = 0.03834
+At r = 9.801635:	q_mu = 3.11980	q_A  = 4.15367	CLsb = 0.03867	CLb  = 0.60710	CLs  = 0.06370
+At r = 10.491054:	q_mu = 3.59853	q_A  = 4.70645	CLsb = 0.02892	CLb  = 0.60736	CLs  = 0.04761
+At r = 10.260323:	q_mu = 3.43534	q_A  = 4.51854	CLsb = 0.03191	CLb  = 0.60727	CLs  = 0.05254
+At r = 10.353154:	q_mu = 3.50056	q_A  = 4.59372	CLsb = 0.03067	CLb  = 0.60731	CLs  = 0.05051
+At r = 10.399588:	q_mu = 3.53341	q_A  = 4.63154	CLsb = 0.03007	CLb  = 0.60733	CLs  = 0.04952
+At r = 10.372064:	q_mu = 3.51392	q_A  = 4.60911	CLsb = 0.03043	CLb  = 0.60732	CLs  = 0.05010
+
+ -- Asymptotic -- 
+Observed Limit: r < 10.3721
+Expected  2.5%: r < 4.9052
+Expected 16.0%: r < 6.6458
+Expected 50.0%: r < 9.4062
+Expected 84.0%: r < 13.4931
+Expected 97.5%: r < 18.7461
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_840_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_840_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6e250bc
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_840_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.03125
+Sigma  for expected limits: 4.60787
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.74727 (r = 3.43821e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.162599 (r = 1.2571e-05)
+At r = 47.448815:	q_mu = 58.19374	q_A  = 56.65642	CLsb = 0.00000	CLb  = 0.45933	CLs  = 0.00000
+At r = 23.724425:	q_mu = 21.76524	q_A  = 20.59805	CLsb = 0.00000	CLb  = 0.44884	CLs  = 0.00000
+At r = 11.862230:	q_mu = 7.07970	q_A  = 6.32809	CLsb = 0.00385	CLb  = 0.44062	CLs  = 0.00874
+At r = 5.931132:	q_mu = 2.17289	q_A  = 1.74626	CLsb = 0.06905	CLb  = 0.43588	CLs  = 0.15842
+At r = 8.896681:	q_mu = 4.34369	q_A  = 3.74244	CLsb = 0.01831	CLb  = 0.43825	CLs  = 0.04178
+At r = 7.413906:	q_mu = 3.18043	q_A  = 2.66332	CLsb = 0.03669	CLb  = 0.43706	CLs  = 0.08396
+At r = 8.294956:	q_mu = 3.85380	q_A  = 3.28595	CLsb = 0.02446	CLb  = 0.43777	CLs  = 0.05587
+At r = 8.599161:	q_mu = 4.09884	q_A  = 3.51398	CLsb = 0.02115	CLb  = 0.43802	CLs  = 0.04829
+At r = 8.480090:	q_mu = 4.00211	q_A  = 3.42387	CLsb = 0.02240	CLb  = 0.43792	CLs  = 0.05114
+At r = 8.541288:	q_mu = 4.05168	q_A  = 3.47004	CLsb = 0.02175	CLb  = 0.43797	CLs  = 0.04966
+At r = 8.517553:	q_mu = 4.03242	q_A  = 3.45209	CLsb = 0.02200	CLb  = 0.43795	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 8.5176
+Expected  2.5%: r < 4.7273
+Expected 16.0%: r < 6.3581
+Expected 50.0%: r < 9.0312
+Expected 84.0%: r < 12.9551
+Expected 97.5%: r < 17.9988
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_860_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_860_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..96372ca
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_860_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.65625
+Sigma  for expected limits: 4.41654
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.67989 (r = 1.4786e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.14063 (r = 2.88228e-05)
+At r = 13.314270:	q_mu = 10.20713	q_A  = 8.31580	CLsb = 0.00066	CLb  = 0.37148	CLs  = 0.00178
+At r = 6.657142:	q_mu = 3.41607	q_A  = 2.34136	CLsb = 0.02996	CLb  = 0.36273	CLs  = 0.08261
+At r = 9.985706:	q_mu = 6.48186	q_A  = 4.96935	CLsb = 0.00511	CLb  = 0.36721	CLs  = 0.01391
+At r = 8.321424:	q_mu = 4.85578	q_A  = 3.55430	CLsb = 0.01286	CLb  = 0.36498	CLs  = 0.03523
+At r = 7.441569:	q_mu = 4.06997	q_A  = 2.88636	CLsb = 0.02032	CLb  = 0.36379	CLs  = 0.05584
+At r = 7.786463:	q_mu = 4.37195	q_A  = 3.14161	CLsb = 0.01702	CLb  = 0.36427	CLs  = 0.04673
+At r = 7.612781:	q_mu = 4.21873	q_A  = 3.01183	CLsb = 0.01862	CLb  = 0.36403	CLs  = 0.05114
+At r = 7.682335:	q_mu = 4.27980	q_A  = 3.06350	CLsb = 0.01796	CLb  = 0.36412	CLs  = 0.04933
+At r = 7.647720:	q_mu = 4.24936	q_A  = 3.03773	CLsb = 0.01829	CLb  = 0.36408	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.6477
+Expected  2.5%: r < 4.5479
+Expected 16.0%: r < 6.1367
+Expected 50.0%: r < 8.6562
+Expected 84.0%: r < 12.4862
+Expected 97.5%: r < 17.2964
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_880_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_880_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..77320d5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_880_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.34375
+Sigma  for expected limits: 4.25709
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.66222 (r = 5.26868e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.158146 (r = 2.1183e-05)
+At r = 13.728106:	q_mu = 11.38179	q_A  = 9.35243	CLsb = 0.00035	CLb  = 0.37002	CLs  = 0.00094
+At r = 6.864056:	q_mu = 3.83187	q_A  = 2.69958	CLsb = 0.02343	CLb  = 0.36521	CLs  = 0.06415
+At r = 10.296081:	q_mu = 7.25828	q_A  = 5.64925	CLsb = 0.00331	CLb  = 0.36750	CLs  = 0.00901
+At r = 8.580068:	q_mu = 5.44492	q_A  = 4.06684	CLsb = 0.00918	CLb  = 0.36630	CLs  = 0.02506
+At r = 7.571166:	q_mu = 4.47046	q_A  = 3.23504	CLsb = 0.01609	CLb  = 0.36564	CLs  = 0.04402
+At r = 7.238331:	q_mu = 4.16541	q_A  = 2.97823	CLsb = 0.01924	CLb  = 0.36544	CLs  = 0.05265
+At r = 7.381642:	q_mu = 4.29567	q_A  = 3.08765	CLsb = 0.01782	CLb  = 0.36552	CLs  = 0.04876
+At r = 7.315538:	q_mu = 4.23538	q_A  = 3.03695	CLsb = 0.01847	CLb  = 0.36548	CLs  = 0.05052
+At r = 7.344297:	q_mu = 4.26156	q_A  = 3.05896	CLsb = 0.01818	CLb  = 0.36550	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.3443
+Expected  2.5%: r < 4.3185
+Expected 16.0%: r < 5.8437
+Expected 50.0%: r < 8.3438
+Expected 84.0%: r < 12.0354
+Expected 97.5%: r < 16.7762
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_900_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..4b1a3f7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_900_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.15625
+Sigma  for expected limits: 4.16143
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.62909 (r = 1.41678e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.158128 (r = 0.000345797)
+At r = 12.755578:	q_mu = 10.90467	q_A  = 8.53565	CLsb = 0.00044	CLb  = 0.34258	CLs  = 0.00128
+At r = 6.377790:	q_mu = 3.70331	q_A  = 2.41707	CLsb = 0.02451	CLb  = 0.33956	CLs  = 0.07219
+At r = 9.566684:	q_mu = 6.97031	q_A  = 5.11512	CLsb = 0.00377	CLb  = 0.34085	CLs  = 0.01107
+At r = 7.972237:	q_mu = 5.24154	q_A  = 3.66388	CLsb = 0.01000	CLb  = 0.34013	CLs  = 0.02941
+At r = 7.218408:	q_mu = 4.48897	q_A  = 3.04737	CLsb = 0.01544	CLb  = 0.33984	CLs  = 0.04544
+At r = 6.911306:	q_mu = 4.19538	q_A  = 2.81011	CLsb = 0.01833	CLb  = 0.33974	CLs  = 0.05395
+At r = 7.081585:	q_mu = 4.35718	q_A  = 2.94061	CLsb = 0.01667	CLb  = 0.33979	CLs  = 0.04907
+At r = 7.020643:	q_mu = 4.29899	q_A  = 2.89360	CLsb = 0.01725	CLb  = 0.33977	CLs  = 0.05077
+At r = 7.054795:	q_mu = 4.33156	q_A  = 2.91991	CLsb = 0.01693	CLb  = 0.33978	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.0548
+Expected  2.5%: r < 4.2852
+Expected 16.0%: r < 5.7822
+Expected 50.0%: r < 8.1562
+Expected 84.0%: r < 11.7650
+Expected 97.5%: r < 16.3992
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_920_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_920_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..23d986e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_920_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.65625
+Sigma  for expected limits: 3.90632
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.53049 (r = 5.97681e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.177356 (r = 0.000701154)
+At r = 9.180727:	q_mu = 7.58792	q_A  = 5.30645	CLsb = 0.00256	CLb  = 0.31023	CLs  = 0.00827
+At r = 4.590367:	q_mu = 2.72793	q_A  = 1.46549	CLsb = 0.04164	CLb  = 0.30104	CLs  = 0.13831
+At r = 6.885547:	q_mu = 4.93994	q_A  = 3.13927	CLsb = 0.01131	CLb  = 0.30567	CLs  = 0.03699
+At r = 6.006793:	q_mu = 4.03655	q_A  = 2.43487	CLsb = 0.01906	CLb  = 0.30390	CLs  = 0.06271
+At r = 6.484084:	q_mu = 4.51928	q_A  = 2.80848	CLsb = 0.01440	CLb  = 0.30488	CLs  = 0.04722
+At r = 6.311725:	q_mu = 4.34260	q_A  = 2.67090	CLsb = 0.01595	CLb  = 0.30452	CLs  = 0.05237
+At r = 6.407914:	q_mu = 4.44086	q_A  = 2.74730	CLsb = 0.01506	CLb  = 0.30472	CLs  = 0.04944
+At r = 6.373594:	q_mu = 4.40571	q_A  = 2.71993	CLsb = 0.01537	CLb  = 0.30465	CLs  = 0.05047
+At r = 6.392861:	q_mu = 4.42543	q_A  = 2.73528	CLsb = 0.01520	CLb  = 0.30469	CLs  = 0.04989
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.3929
+Expected  2.5%: r < 4.0076
+Expected 16.0%: r < 5.4186
+Expected 50.0%: r < 7.6562
+Expected 84.0%: r < 11.1048
+Expected 97.5%: r < 15.4333
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_940_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_940_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d255cfb
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_940_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.40625
+Sigma  for expected limits: 3.77877
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.58918 (r = 3.43176e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.191463 (r = 0.00107556)
+At r = 12.394837:	q_mu = 11.60633	q_A  = 9.52188	CLsb = 0.00031	CLb  = 0.36777	CLs  = 0.00084
+At r = 6.197419:	q_mu = 3.97825	q_A  = 2.76217	CLsb = 0.02129	CLb  = 0.35724	CLs  = 0.05959
+At r = 9.296128:	q_mu = 7.45812	q_A  = 5.77116	CLsb = 0.00295	CLb  = 0.36275	CLs  = 0.00813
+At r = 7.746773:	q_mu = 5.62129	q_A  = 4.15964	CLsb = 0.00825	CLb  = 0.36005	CLs  = 0.02290
+At r = 6.734770:	q_mu = 4.52473	q_A  = 3.22111	CLsb = 0.01547	CLb  = 0.35824	CLs  = 0.04318
+At r = 6.431539:	q_mu = 4.21291	q_A  = 2.95835	CLsb = 0.01855	CLb  = 0.35767	CLs  = 0.05186
+At r = 6.540542:	q_mu = 4.32389	q_A  = 3.05158	CLsb = 0.01738	CLb  = 0.35787	CLs  = 0.04858
+At r = 6.480255:	q_mu = 4.26238	q_A  = 2.99987	CLsb = 0.01802	CLb  = 0.35776	CLs  = 0.05037
+At r = 6.502115:	q_mu = 4.28464	q_A  = 3.01858	CLsb = 0.01779	CLb  = 0.35780	CLs  = 0.04971
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.5021
+Expected  2.5%: r < 3.8622
+Expected 16.0%: r < 5.2051
+Expected 50.0%: r < 7.4062
+Expected 84.0%: r < 10.7422
+Expected 97.5%: r < 15.0213
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_960_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_960_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e8f9402
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_960_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.21875
+Sigma  for expected limits: 3.6831
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.11739 (r = 0.654975)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.205737 (r = 0.00487269)
+At r = 10.590660:	q_mu = 6.83695	q_A  = 7.63259	CLsb = 0.00446	CLb  = 0.55881	CLs  = 0.00799
+At r = 5.622818:	q_mu = 1.93521	q_A  = 2.43652	CLsb = 0.08209	CLb  = 0.56742	CLs  = 0.14468
+At r = 8.106739:	q_mu = 4.09596	q_A  = 4.76182	CLsb = 0.02149	CLb  = 0.56289	CLs  = 0.03818
+At r = 7.207739:	q_mu = 3.23898	q_A  = 3.84968	CLsb = 0.03595	CLb  = 0.56448	CLs  = 0.06369
+At r = 7.727735:	q_mu = 3.72493	q_A  = 4.36810	CLsb = 0.02680	CLb  = 0.56356	CLs  = 0.04756
+At r = 7.552481:	q_mu = 3.55812	q_A  = 4.19052	CLsb = 0.02963	CLb  = 0.56387	CLs  = 0.05254
+At r = 7.657345:	q_mu = 3.65755	q_A  = 4.29641	CLsb = 0.02791	CLb  = 0.56368	CLs  = 0.04951
+At r = 7.622482:	q_mu = 3.62435	q_A  = 4.26107	CLsb = 0.02847	CLb  = 0.56374	CLs  = 0.05050
+At r = 7.636524:	q_mu = 3.63768	q_A  = 4.27527	CLsb = 0.02824	CLb  = 0.56372	CLs  = 0.05010
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.6365
+Expected  2.5%: r < 3.7363
+Expected 16.0%: r < 5.0558
+Expected 50.0%: r < 7.2188
+Expected 84.0%: r < 10.4127
+Expected 97.5%: r < 14.6044
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_980_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_980_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..7111b0b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin0/CMS_HH4b_980_13TeV_asymptoticCLs.out
@@ -0,0 +1,37 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.03125
+Sigma  for expected limits: 3.58744
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0869877 (r = 1.09416)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.22384 (r = 0.0102098)
+At r = 10.049581:	q_mu = 5.89935	q_A  = 7.23946	CLsb = 0.00757	CLb  = 0.60325	CLs  = 0.01255
+At r = 5.571871:	q_mu = 1.65914	q_A  = 2.50191	CLsb = 0.09886	CLb  = 0.61549	CLs  = 0.16062
+At r = 7.810726:	q_mu = 3.52195	q_A  = 4.63810	CLsb = 0.03028	CLb  = 0.60909	CLs  = 0.04971
+At r = 6.691298:	q_mu = 2.51871	q_A  = 3.50497	CLsb = 0.05625	CLb  = 0.61222	CLs  = 0.09188
+At r = 7.578499:	q_mu = 3.30278	q_A  = 4.39302	CLsb = 0.03458	CLb  = 0.60972	CLs  = 0.05672
+At r = 7.756214:	q_mu = 3.47000	q_A  = 4.58010	CLsb = 0.03125	CLb  = 0.60923	CLs  = 0.05129
+At r = 7.791809:	q_mu = 3.50389	q_A  = 4.61792	CLsb = 0.03061	CLb  = 0.60913	CLs  = 0.05026
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.7918
+Expected  2.5%: r < 3.6667
+Expected 16.0%: r < 4.9415
+Expected 50.0%: r < 7.0312
+Expected 84.0%: r < 10.1983
+Expected 97.5%: r < 14.2608
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1000_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..78b89ad
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1000_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.89062
+Sigma  for expected limits: 3.00548
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.306981 (r = 0.121879)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.330482 (r = 4.93472e-05)
+At r = 39.962318:	q_mu = 75.80425	q_A  = 74.74510	CLsb = 0.00000	CLb  = 0.47558	CLs  = 0.00000
+At r = 20.042098:	q_mu = 30.18384	q_A  = 29.80061	CLsb = 0.00000	CLb  = 0.48600	CLs  = 0.00000
+At r = 10.081988:	q_mu = 10.01207	q_A  = 9.96915	CLsb = 0.00078	CLb  = 0.49729	CLs  = 0.00156
+At r = 5.101934:	q_mu = 2.88326	q_A  = 2.93778	CLsb = 0.04475	CLb  = 0.50637	CLs  = 0.08838
+At r = 7.591961:	q_mu = 6.05332	q_A  = 6.07134	CLsb = 0.00694	CLb  = 0.50146	CLs  = 0.01384
+At r = 6.346947:	q_mu = 4.35454	q_A  = 4.39465	CLsb = 0.01846	CLb  = 0.50382	CLs  = 0.03663
+At r = 5.746076:	q_mu = 3.61436	q_A  = 3.66256	CLsb = 0.02864	CLb  = 0.50504	CLs  = 0.05671
+At r = 6.004759:	q_mu = 3.92618	q_A  = 3.97110	CLsb = 0.02377	CLb  = 0.50451	CLs  = 0.04711
+At r = 5.886674:	q_mu = 3.78246	q_A  = 3.82889	CLsb = 0.02590	CLb  = 0.50475	CLs  = 0.05131
+At r = 5.938865:	q_mu = 3.84563	q_A  = 3.89138	CLsb = 0.02494	CLb  = 0.50464	CLs  = 0.04942
+At r = 5.915371:	q_mu = 3.81706	q_A  = 3.86310	CLsb = 0.02537	CLb  = 0.50469	CLs  = 0.05026
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.9154
+Expected  2.5%: r < 3.0834
+Expected 16.0%: r < 4.1580
+Expected 50.0%: r < 5.8906
+Expected 84.0%: r < 8.4969
+Expected 97.5%: r < 11.8439
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1050_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1050_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c10c878
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1050_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.21875
+Sigma  for expected limits: 3.17289
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1.10418 (r = 3.74902e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.355836 (r = 9.4531e-06)
+At r = 3.670872:	q_mu = 4.14572	q_A  = 1.43620	CLsb = 0.00993	CLb  = 0.12914	CLs  = 0.07691
+At r = 7.341743:	q_mu = 10.13323	q_A  = 5.18263	CLsb = 0.00038	CLb  = 0.13845	CLs  = 0.00278
+At r = 3.670872:	q_mu = 4.14573	q_A  = 1.43620	CLsb = 0.00993	CLb  = 0.12914	CLs  = 0.07691
+At r = 5.506308:	q_mu = 6.96063	q_A  = 3.07347	CLsb = 0.00211	CLb  = 0.13379	CLs  = 0.01574
+At r = 4.436619:	q_mu = 5.27070	q_A  = 2.05550	CLsb = 0.00531	CLb  = 0.13108	CLs  = 0.04051
+At r = 4.082287:	q_mu = 4.74131	q_A  = 1.75766	CLsb = 0.00712	CLb  = 0.13024	CLs  = 0.05469
+At r = 4.237770:	q_mu = 4.97151	q_A  = 1.88567	CLsb = 0.00627	CLb  = 0.13059	CLs  = 0.04798
+At r = 4.167502:	q_mu = 4.86706	q_A  = 1.82723	CLsb = 0.00664	CLb  = 0.13042	CLs  = 0.05091
+At r = 4.198730:	q_mu = 4.91338	q_A  = 1.85304	CLsb = 0.00647	CLb  = 0.13049	CLs  = 0.04959
+At r = 4.184713:	q_mu = 4.89256	q_A  = 1.84142	CLsb = 0.00655	CLb  = 0.13046	CLs  = 0.05018
+
+ -- Asymptotic -- 
+Observed Limit: r < 4.1847
+Expected  2.5%: r < 3.2430
+Expected 16.0%: r < 4.3705
+Expected 50.0%: r < 6.2188
+Expected 84.0%: r < 8.9950
+Expected 97.5%: r < 12.5971
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1100_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1100_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1157641
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1100_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.95312
+Sigma  for expected limits: 3.54758
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.868114 (r = 8.42799e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.375002 (r = 8.1962e-05)
+At r = 5.201996:	q_mu = 4.66136	q_A  = 2.25008	CLsb = 0.01062	CLb  = 0.21077	CLs  = 0.05038
+At r = 10.403991:	q_mu = 12.01496	q_A  = 7.88679	CLsb = 0.00020	CLb  = 0.23117	CLs  = 0.00085
+At r = 5.202000:	q_mu = 4.66137	q_A  = 2.25009	CLsb = 0.01062	CLb  = 0.21077	CLs  = 0.05038
+At r = 7.802995:	q_mu = 8.09233	q_A  = 4.74640	CLsb = 0.00161	CLb  = 0.22127	CLs  = 0.00726
+At r = 6.502498:	q_mu = 6.30560	q_A  = 3.40627	CLsb = 0.00426	CLb  = 0.21609	CLs  = 0.01969
+At r = 5.470379:	q_mu = 4.98794	q_A  = 2.47240	CLsb = 0.00884	CLb  = 0.21188	CLs  = 0.04172
+At r = 5.264184:	q_mu = 4.73711	q_A  = 2.30157	CLsb = 0.01018	CLb  = 0.21107	CLs  = 0.04821
+At r = 5.222904:	q_mu = 4.68655	q_A  = 2.26708	CLsb = 0.01047	CLb  = 0.21086	CLs  = 0.04965
+At r = 5.210568:	q_mu = 4.67169	q_A  = 2.25705	CLsb = 0.01056	CLb  = 0.21081	CLs  = 0.05007
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.2106
+Expected  2.5%: r < 3.6259
+Expected 16.0%: r < 4.8866
+Expected 50.0%: r < 6.9531
+Expected 84.0%: r < 10.0295
+Expected 97.5%: r < 14.0670
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1150_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1150_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..532dad1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1150_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.53125
+Sigma  for expected limits: 3.33233
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.491704 (r = 3.82992)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.44047 (r = 0.0557444)
+At r = 13.083317:	q_mu = 6.87455	q_A  = 13.08884	CLsb = 0.00437	CLb  = 0.84035	CLs  = 0.00520
+At r = 8.456618:	q_mu = 1.95426	q_A  = 6.17759	CLsb = 0.08106	CLb  = 0.86160	CLs  = 0.09409
+At r = 10.769968:	q_mu = 4.12571	q_A  = 9.43232	CLsb = 0.02112	CLb  = 0.85084	CLs  = 0.02482
+At r = 9.797290:	q_mu = 3.13378	q_A  = 8.00821	CLsb = 0.03834	CLb  = 0.85534	CLs  = 0.04483
+At r = 9.371175:	q_mu = 2.73413	q_A  = 7.40883	CLsb = 0.04911	CLb  = 0.85733	CLs  = 0.05729
+At r = 9.560261:	q_mu = 2.90928	q_A  = 7.67326	CLsb = 0.04404	CLb  = 0.85643	CLs  = 0.05142
+At r = 9.646323:	q_mu = 2.98966	q_A  = 7.79496	CLsb = 0.04190	CLb  = 0.85608	CLs  = 0.04894
+At r = 9.599281:	q_mu = 2.94537	q_A  = 7.72831	CLsb = 0.04306	CLb  = 0.85628	CLs  = 0.05029
+
+ -- Asymptotic -- 
+Observed Limit: r < 9.5993
+Expected  2.5%: r < 3.4315
+Expected 16.0%: r < 4.6060
+Expected 50.0%: r < 6.5312
+Expected 84.0%: r < 9.3689
+Expected 97.5%: r < 13.0984
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1200_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1200_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..fefad24
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_1200_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.42188
+Sigma  for expected limits: 2.76631
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.263761 (r = 1.78414)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.523063 (r = 0.0149269)
+At r = 9.879654:	q_mu = 6.58853	q_A  = 10.71622	CLsb = 0.00513	CLb  = 0.76014	CLs  = 0.00675
+At r = 5.831897:	q_mu = 1.89778	q_A  = 4.37418	CLsb = 0.08416	CLb  = 0.76234	CLs  = 0.11040
+At r = 7.855776:	q_mu = 3.97839	q_A  = 7.32822	CLsb = 0.02304	CLb  = 0.76192	CLs  = 0.03024
+At r = 6.822384:	q_mu = 2.84053	q_A  = 5.75647	CLsb = 0.04596	CLb  = 0.76235	CLs  = 0.06028
+At r = 7.253236:	q_mu = 3.29697	q_A  = 6.39688	CLsb = 0.03470	CLb  = 0.76222	CLs  = 0.04553
+At r = 7.052066:	q_mu = 3.08114	q_A  = 6.09553	CLsb = 0.03960	CLb  = 0.76226	CLs  = 0.05195
+At r = 7.139045:	q_mu = 3.17355	q_A  = 6.22509	CLsb = 0.03742	CLb  = 0.76225	CLs  = 0.04909
+At r = 7.099128:	q_mu = 3.13095	q_A  = 6.16548	CLsb = 0.03841	CLb  = 0.76226	CLs  = 0.05039
+At r = 7.116593:	q_mu = 3.14954	q_A  = 6.19153	CLsb = 0.03797	CLb  = 0.76226	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.1166
+Expected  2.5%: r < 2.8062
+Expected 16.0%: r < 3.7973
+Expected 50.0%: r < 5.4219
+Expected 84.0%: r < 7.9072
+Expected 97.5%: r < 11.1582
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_260_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ba4e864
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_260_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.871094
+Sigma  for expected limits: 0.444444
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -5.71368 (r = 1.91825e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -13.4967 (r = 2.09248e-06)
+At r = 7.211415:	q_mu = 97.95010	q_A  = 97.76285	CLsb = 0.00000	CLb  = 0.49622	CLs  = 0.00000
+At r = 3.605707:	q_mu = 40.86396	q_A  = 40.75859	CLsb = 0.00000	CLb  = 0.49671	CLs  = 0.00000
+At r = 1.802854:	q_mu = 14.00070	q_A  = 13.94548	CLsb = 0.00009	CLb  = 0.49705	CLs  = 0.00018
+At r = 0.901427:	q_mu = 4.14144	q_A  = 4.11451	CLsb = 0.02092	CLb  = 0.49735	CLs  = 0.04207
+At r = 0.450714:	q_mu = 1.16596	q_A  = 1.15296	CLsb = 0.14011	CLb  = 0.49759	CLs  = 0.28159
+At r = 0.676070:	q_mu = 2.44896	q_A  = 2.42907	CLsb = 0.05880	CLb  = 0.49745	CLs  = 0.11820
+At r = 0.826209:	q_mu = 3.53411	q_A  = 3.50954	CLsb = 0.03006	CLb  = 0.49738	CLs  = 0.06043
+At r = 0.857689:	q_mu = 3.78331	q_A  = 3.75775	CLsb = 0.02588	CLb  = 0.49737	CLs  = 0.05204
+At r = 0.873010:	q_mu = 3.90720	q_A  = 3.88116	CLsb = 0.02404	CLb  = 0.49736	CLs  = 0.04833
+At r = 0.864320:	q_mu = 3.83671	q_A  = 3.81095	CLsb = 0.02507	CLb  = 0.49737	CLs  = 0.05041
+At r = 0.867396:	q_mu = 3.86160	q_A  = 3.83574	CLsb = 0.02470	CLb  = 0.49737	CLs  = 0.04966
+At r = 0.865661:	q_mu = 3.84755	q_A  = 3.82174	CLsb = 0.02491	CLb  = 0.49737	CLs  = 0.05008
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8657
+Expected  2.5%: r < 0.4458
+Expected 16.0%: r < 0.6069
+Expected 50.0%: r < 0.8711
+Expected 84.0%: r < 1.2496
+Expected 97.5%: r < 1.7360
+
+Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_265_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_265_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..120f061
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_265_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.855469
+Sigma  for expected limits: 0.436472
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -13.6439 (r = 1.37555e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -12.5786 (r = 1.18461e-12)
+At r = 1.200000:	q_mu = 16.67565	q_A  = 6.98851	CLsb = 0.00000	CLb  = 0.03346	CLs  = 0.00011
+At r = 0.600000:	q_mu = 7.24584	q_A  = 2.05539	CLsb = 0.00059	CLb  = 0.03513	CLs  = 0.01678
+At r = 0.300000:	q_mu = 3.29063	q_A  = 0.62600	CLsb = 0.00666	CLb  = 0.04610	CLs  = 0.14446
+At r = 0.478289:	q_mu = 5.56866	q_A  = 1.38297	CLsb = 0.00156	CLb  = 0.03757	CLs  = 0.04153
+At r = 0.421391:	q_mu = 4.81768	q_A  = 1.11135	CLsb = 0.00246	CLb  = 0.03938	CLs  = 0.06249
+At r = 0.446230:	q_mu = 5.14283	q_A  = 1.22651	CLsb = 0.00202	CLb  = 0.03852	CLs  = 0.05234
+At r = 0.457717:	q_mu = 5.29463	q_A  = 1.28157	CLsb = 0.00184	CLb  = 0.03816	CLs  = 0.04819
+At r = 0.451327:	q_mu = 5.21008	q_A  = 1.25080	CLsb = 0.00194	CLb  = 0.03836	CLs  = 0.05046
+At r = 0.453630:	q_mu = 5.24051	q_A  = 1.26185	CLsb = 0.00190	CLb  = 0.03829	CLs  = 0.04963
+At r = 0.452352:	q_mu = 5.22363	q_A  = 1.25572	CLsb = 0.00192	CLb  = 0.03833	CLs  = 0.05009
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.4524
+Expected  2.5%: r < 0.4261
+Expected 16.0%: r < 0.5921
+Expected 50.0%: r < 0.8555
+Expected 84.0%: r < 1.2408
+Expected 97.5%: r < 1.7244
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_270_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..673fce7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_270_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.839844
+Sigma  for expected limits: 0.4285
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -12.6488 (r = 6.18841e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -12.1318 (r = 1.34226e-11)
+At r = 1.200000:	q_mu = 16.16637	q_A  = 7.15059	CLsb = 0.00001	CLb  = 0.04592	CLs  = 0.00014
+At r = 0.600000:	q_mu = 6.95634	q_A  = 2.15902	CLsb = 0.00096	CLb  = 0.05129	CLs  = 0.01875
+At r = 0.300000:	q_mu = 3.14183	q_A  = 0.68667	CLsb = 0.01044	CLb  = 0.06925	CLs  = 0.15079
+At r = 0.450000:	q_mu = 4.97169	q_A  = 1.32853	CLsb = 0.00314	CLb  = 0.05701	CLs  = 0.05504
+At r = 0.490708:	q_mu = 5.49557	q_A  = 1.53566	CLsb = 0.00228	CLb  = 0.05505	CLs  = 0.04137
+At r = 0.469098:	q_mu = 5.21606	q_A  = 1.42399	CLsb = 0.00270	CLb  = 0.05604	CLs  = 0.04817
+At r = 0.461008:	q_mu = 5.11224	q_A  = 1.38318	CLsb = 0.00288	CLb  = 0.05644	CLs  = 0.05098
+At r = 0.464838:	q_mu = 5.16133	q_A  = 1.40243	CLsb = 0.00279	CLb  = 0.05625	CLs  = 0.04963
+At r = 0.463222:	q_mu = 5.14061	q_A  = 1.39429	CLsb = 0.00283	CLb  = 0.05633	CLs  = 0.05019
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.4632
+Expected  2.5%: r < 0.4084
+Expected 16.0%: r < 0.5753
+Expected 50.0%: r < 0.8398
+Expected 84.0%: r < 1.2248
+Expected 97.5%: r < 1.7076
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_275_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_275_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1f14072
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_275_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.751953
+Sigma  for expected limits: 0.383657
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -10.9295 (r = 3.00826e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -14.6376 (r = 1.53547e-10)
+At r = 1.200000:	q_mu = 12.78379	q_A  = 8.67252	CLsb = 0.00013	CLb  = 0.24258	CLs  = 0.00056
+At r = 0.600000:	q_mu = 4.78282	q_A  = 2.60377	CLsb = 0.01104	CLb  = 0.24977	CLs  = 0.04422
+At r = 0.300000:	q_mu = 1.92347	q_A  = 0.81394	CLsb = 0.06462	CLb  = 0.26931	CLs  = 0.23995
+At r = 0.450000:	q_mu = 3.24357	q_A  = 1.59230	CLsb = 0.02767	CLb  = 0.25646	CLs  = 0.10790
+At r = 0.553472:	q_mu = 4.28293	q_A  = 2.26592	CLsb = 0.01481	CLb  = 0.25144	CLs  = 0.05888
+At r = 0.574724:	q_mu = 4.50881	q_A  = 2.41760	CLsb = 0.01296	CLb  = 0.25064	CLs  = 0.05172
+At r = 0.584138:	q_mu = 4.61019	q_A  = 2.48621	CLsb = 0.01222	CLb  = 0.25031	CLs  = 0.04880
+At r = 0.579105:	q_mu = 4.55588	q_A  = 2.44941	CLsb = 0.01261	CLb  = 0.25048	CLs  = 0.05034
+At r = 0.580992:	q_mu = 4.57622	q_A  = 2.46318	CLsb = 0.01246	CLb  = 0.25042	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5810
+Expected  2.5%: r < 0.3657
+Expected 16.0%: r < 0.5151
+Expected 50.0%: r < 0.7520
+Expected 84.0%: r < 1.0966
+Expected 97.5%: r < 1.5289
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_280_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_280_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b32b129
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_280_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.732422
+Sigma  for expected limits: 0.373692
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -6.80886 (r = 8.60386e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -14.619 (r = 1.16866e-09)
+At r = 5.511343:	q_mu = 89.67971	q_A  = 90.53908	CLsb = 0.00000	CLb  = 0.51805	CLs  = 0.00000
+At r = 2.755671:	q_mu = 34.37855	q_A  = 35.04466	CLsb = 0.00000	CLb  = 0.52254	CLs  = 0.00000
+At r = 1.377836:	q_mu = 10.84684	q_A  = 11.49441	CLsb = 0.00049	CLb  = 0.53859	CLs  = 0.00092
+At r = 0.688918:	q_mu = 3.16899	q_A  = 3.43798	CLsb = 0.03752	CLb  = 0.52950	CLs  = 0.07087
+At r = 1.033377:	q_mu = 6.61856	q_A  = 6.99415	CLsb = 0.00505	CLb  = 0.52869	CLs  = 0.00954
+At r = 0.861147:	q_mu = 4.75962	q_A  = 5.08419	CLsb = 0.01457	CLb  = 0.52916	CLs  = 0.02753
+At r = 0.774189:	q_mu = 3.92121	q_A  = 4.21832	CLsb = 0.02384	CLb  = 0.52936	CLs  = 0.04504
+At r = 0.741402:	q_mu = 3.62360	q_A  = 3.91003	CLsb = 0.02848	CLb  = 0.52942	CLs  = 0.05380
+At r = 0.758766:	q_mu = 3.77993	q_A  = 4.07202	CLsb = 0.02594	CLb  = 0.52938	CLs  = 0.04899
+At r = 0.752270:	q_mu = 3.72111	q_A  = 4.01109	CLsb = 0.02686	CLb  = 0.52940	CLs  = 0.05075
+At r = 0.755756:	q_mu = 3.75262	q_A  = 4.04373	CLsb = 0.02636	CLb  = 0.52939	CLs  = 0.04980
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.7558
+Expected  2.5%: r < 0.3619
+Expected 16.0%: r < 0.5052
+Expected 50.0%: r < 0.7324
+Expected 84.0%: r < 1.0682
+Expected 97.5%: r < 1.4892
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_285_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_285_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1d77e3a
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_285_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.630859
+Sigma  for expected limits: 0.321873
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -7.65443 (r = 0.163322)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -18.6964 (r = 1.46827e-06)
+At r = 1.363322:	q_mu = 10.74596	q_A  = 14.96952	CLsb = 0.00052	CLb  = 0.72272	CLs  = 0.00072
+At r = 0.763322:	q_mu = 3.03043	q_A  = 5.42906	CLsb = 0.04086	CLb  = 0.72214	CLs  = 0.05658
+At r = 1.063322:	q_mu = 6.49019	q_A  = 9.76696	CLsb = 0.00542	CLb  = 0.71824	CLs  = 0.00755
+At r = 0.913322:	q_mu = 4.62415	q_A  = 7.47467	CLsb = 0.01576	CLb  = 0.72026	CLs  = 0.02188
+At r = 0.808939:	q_mu = 3.48437	q_A  = 6.02311	CLsb = 0.03098	CLb  = 0.72158	CLs  = 0.04293
+At r = 0.788782:	q_mu = 3.28036	q_A  = 5.75749	CLsb = 0.03506	CLb  = 0.72183	CLs  = 0.04857
+At r = 0.779809:	q_mu = 3.19129	q_A  = 5.64083	CLsb = 0.03702	CLb  = 0.72194	CLs  = 0.05127
+At r = 0.784931:	q_mu = 3.24199	q_A  = 5.70729	CLsb = 0.03589	CLb  = 0.72188	CLs  = 0.04971
+At r = 0.783142:	q_mu = 3.22424	q_A  = 5.68404	CLsb = 0.03628	CLb  = 0.72190	CLs  = 0.05025
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.7831
+Expected  2.5%: r < 0.3191
+Expected 16.0%: r < 0.4385
+Expected 50.0%: r < 0.6309
+Expected 84.0%: r < 0.9100
+Expected 97.5%: r < 1.2605
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_290_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_290_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..da8a083
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_290_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.619141
+Sigma  for expected limits: 0.315894
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -7.73267 (r = 0.197359)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -19.5942 (r = 1.96868e-06)
+At r = 1.397359:	q_mu = 11.16321	q_A  = 16.07932	CLsb = 0.00042	CLb  = 0.74818	CLs  = 0.00056
+At r = 0.797359:	q_mu = 3.11650	q_A  = 6.07211	CLsb = 0.03875	CLb  = 0.75766	CLs  = 0.05115
+At r = 1.097359:	q_mu = 6.65666	q_A  = 10.65430	CLsb = 0.00494	CLb  = 0.75303	CLs  = 0.00656
+At r = 0.947359:	q_mu = 4.74936	q_A  = 8.24197	CLsb = 0.01465	CLb  = 0.75540	CLs  = 0.01940
+At r = 0.830164:	q_mu = 3.44841	q_A  = 6.52423	CLsb = 0.03166	CLb  = 0.75718	CLs  = 0.04181
+At r = 0.806870:	q_mu = 3.21123	q_A  = 6.20185	CLsb = 0.03657	CLb  = 0.75752	CLs  = 0.04827
+At r = 0.802243:	q_mu = 3.16499	q_A  = 6.13859	CLsb = 0.03762	CLb  = 0.75759	CLs  = 0.04965
+At r = 0.800347:	q_mu = 3.14613	q_A  = 6.11275	CLsb = 0.03805	CLb  = 0.75762	CLs  = 0.05023
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.8003
+Expected  2.5%: r < 0.3132
+Expected 16.0%: r < 0.4291
+Expected 50.0%: r < 0.6191
+Expected 84.0%: r < 0.8931
+Expected 97.5%: r < 1.2371
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_295_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_295_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..3be6fdf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_295_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.572266
+Sigma  for expected limits: 0.291978
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -14.0202 (r = 0.0805799)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -24.2504 (r = 1.16607e-09)
+At r = 1.280580:	q_mu = 13.78809	q_A  = 16.15586	CLsb = 0.00010	CLb  = 0.62028	CLs  = 0.00016
+At r = 0.680580:	q_mu = 3.91798	q_A  = 5.29244	CLsb = 0.02389	CLb  = 0.62595	CLs  = 0.03816
+At r = 0.380580:	q_mu = 1.02757	q_A  = 1.79812	CLsb = 0.15537	CLb  = 0.62826	CLs  = 0.24729
+At r = 0.530580:	q_mu = 2.26158	q_A  = 3.34277	CLsb = 0.06631	CLb  = 0.62721	CLs  = 0.10572
+At r = 0.618757:	q_mu = 3.18727	q_A  = 4.44303	CLsb = 0.03711	CLb  = 0.62648	CLs  = 0.05923
+At r = 0.650179:	q_mu = 3.55054	q_A  = 4.86701	CLsb = 0.02976	CLb  = 0.62621	CLs  = 0.04753
+At r = 0.638105:	q_mu = 3.40894	q_A  = 4.70218	CLsb = 0.03242	CLb  = 0.62632	CLs  = 0.05177
+At r = 0.644446:	q_mu = 3.48299	q_A  = 4.78844	CLsb = 0.03100	CLb  = 0.62626	CLs  = 0.04950
+At r = 0.642042:	q_mu = 3.45484	q_A  = 4.75567	CLsb = 0.03153	CLb  = 0.62629	CLs  = 0.05035
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.6420
+Expected  2.5%: r < 0.2962
+Expected 16.0%: r < 0.4030
+Expected 50.0%: r < 0.5723
+Expected 84.0%: r < 0.8209
+Expected 97.5%: r < 1.1333
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_300_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..a97521f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_300_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.572266
+Sigma  for expected limits: 0.291978
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -16.2356 (r = 0.00580876)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -24.9223 (r = 3.70035e-06)
+At r = 7.176043:	q_mu = 158.95838	q_A  = 160.13167	CLsb = 0.00000	CLb  = 0.51852	CLs  = 0.00000
+At r = 3.590926:	q_mu = 72.80760	q_A  = 73.66780	CLsb = 0.00000	CLb  = 0.52004	CLs  = 0.00000
+At r = 1.798367:	q_mu = 27.37847	q_A  = 27.95084	CLsb = 0.00000	CLb  = 0.52170	CLs  = 0.00000
+At r = 0.902088:	q_mu = 8.46405	q_A  = 8.80013	CLsb = 0.00181	CLb  = 0.52281	CLs  = 0.00346
+At r = 0.453948:	q_mu = 2.30134	q_A  = 2.48104	CLsb = 0.06463	CLb  = 0.52317	CLs  = 0.12354
+At r = 0.678018:	q_mu = 4.98250	q_A  = 5.24383	CLsb = 0.01280	CLb  = 0.52304	CLs  = 0.02448
+At r = 0.554108:	q_mu = 3.38967	q_A  = 3.60666	CLsb = 0.03280	CLb  = 0.52313	CLs  = 0.06271
+At r = 0.602749:	q_mu = 3.98386	q_A  = 4.21850	CLsb = 0.02297	CLb  = 0.52310	CLs  = 0.04391
+At r = 0.578836:	q_mu = 3.68656	q_A  = 3.91256	CLsb = 0.02743	CLb  = 0.52312	CLs  = 0.05243
+At r = 0.588735:	q_mu = 3.80844	q_A  = 4.03803	CLsb = 0.02550	CLb  = 0.52311	CLs  = 0.04874
+At r = 0.583988:	q_mu = 3.74977	q_A  = 3.97764	CLsb = 0.02641	CLb  = 0.52311	CLs  = 0.05048
+At r = 0.585975:	q_mu = 3.77428	q_A  = 4.00287	CLsb = 0.02602	CLb  = 0.52311	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.5860
+Expected  2.5%: r < 0.2995
+Expected 16.0%: r < 0.4050
+Expected 50.0%: r < 0.5723
+Expected 84.0%: r < 0.8209
+Expected 97.5%: r < 1.1333
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_310_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_310_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c2e32af
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_310_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.525391
+Sigma  for expected limits: 0.268061
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -34.5718 (r = 4.60208e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -40.46 (r = 0.0135793)
+At r = 1.200000:	q_mu = 20.49123	q_A  = 17.38444	CLsb = 0.00000	CLb  = 0.35474	CLs  = 0.00001
+At r = 0.600000:	q_mu = 6.74007	q_A  = 4.97375	CLsb = 0.00432	CLb  = 0.34605	CLs  = 0.01248
+At r = 0.300000:	q_mu = 2.18023	q_A  = 1.25575	CLsb = 0.06263	CLb  = 0.33999	CLs  = 0.18420
+At r = 0.450000:	q_mu = 4.20139	q_A  = 2.84220	CLsb = 0.01835	CLb  = 0.34343	CLs  = 0.05344
+At r = 0.525000:	q_mu = 5.41135	q_A  = 3.84493	CLsb = 0.00913	CLb  = 0.34479	CLs  = 0.02648
+At r = 0.470691:	q_mu = 4.52271	q_A  = 3.10565	CLsb = 0.01522	CLb  = 0.34382	CLs  = 0.04426
+At r = 0.459988:	q_mu = 4.35529	q_A  = 2.96810	CLsb = 0.01678	CLb  = 0.34362	CLs  = 0.04882
+At r = 0.455883:	q_mu = 4.29176	q_A  = 2.91606	CLsb = 0.01741	CLb  = 0.34355	CLs  = 0.05068
+At r = 0.457887:	q_mu = 4.32273	q_A  = 2.94141	CLsb = 0.01710	CLb  = 0.34358	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.4579
+Expected  2.5%: r < 0.2842
+Expected 16.0%: r < 0.3775
+Expected 50.0%: r < 0.5254
+Expected 84.0%: r < 0.7411
+Expected 97.5%: r < 1.0188
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_320_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_320_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..9184658
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_320_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.435547
+Sigma  for expected limits: 0.222222
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -72.7331 (r = 5.80011e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -49.0019 (r = 0.00935973)
+At r = 1.200000:	q_mu = 46.22218	q_A  = 23.61288	CLsb = 0.00000	CLb  = 0.01000	CLs  = 0.00000
+At r = 0.600000:	q_mu = 20.56848	q_A  = 7.07948	CLsb = 0.00000	CLb  = 0.00563	CLs  = 0.00002
+At r = 0.300000:	q_mu = 9.15678	q_A  = 1.85024	CLsb = 0.00003	CLb  = 0.00362	CLs  = 0.00720
+At r = 0.150000:	q_mu = 4.21425	q_A  = 0.44514	CLsb = 0.00024	CLb  = 0.00237	CLs  = 0.10135
+At r = 0.225000:	q_mu = 6.60529	q_A  = 1.03337	CLsb = 0.00009	CLb  = 0.00307	CLs  = 0.02802
+At r = 0.182977:	q_mu = 5.24442	q_A  = 0.67473	CLsb = 0.00016	CLb  = 0.00270	CLs  = 0.05815
+At r = 0.198336:	q_mu = 5.73573	q_A  = 0.79734	CLsb = 0.00013	CLb  = 0.00284	CLs  = 0.04466
+At r = 0.190005:	q_mu = 5.46833	q_A  = 0.72960	CLsb = 0.00014	CLb  = 0.00277	CLs  = 0.05155
+At r = 0.193092:	q_mu = 5.56716	q_A  = 0.75436	CLsb = 0.00014	CLb  = 0.00280	CLs  = 0.04889
+At r = 0.191429:	q_mu = 5.51388	q_A  = 0.74097	CLsb = 0.00014	CLb  = 0.00278	CLs  = 0.05031
+At r = 0.192047:	q_mu = 5.53366	q_A  = 0.74593	CLsb = 0.00014	CLb  = 0.00279	CLs  = 0.04978
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1920
+Expected  2.5%: r < 0.2356
+Expected 16.0%: r < 0.3114
+Expected 50.0%: r < 0.4355
+Expected 84.0%: r < 0.6144
+Expected 97.5%: r < 0.8446
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_330_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_330_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..1e43656
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_330_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.366211
+Sigma  for expected limits: 0.186846
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -99.8417 (r = 9.96425e-12)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -63.0911 (r = 0.00500345)
+At r = 1.200000:	q_mu = 63.42786	q_A  = 30.60526	CLsb = 0.00000	CLb  = 0.00151	CLs  = 0.00000
+At r = 0.600000:	q_mu = 29.92973	q_A  = 9.64956	CLsb = 0.00000	CLb  = 0.00055	CLs  = 0.00000
+At r = 0.300000:	q_mu = 13.88150	q_A  = 2.61458	CLsb = 0.00000	CLb  = 0.00025	CLs  = 0.00068
+At r = 0.150000:	q_mu = 6.54077	q_A  = 0.65167	CLsb = 0.00000	CLb  = 0.00013	CLs  = 0.03171
+At r = 0.075000:	q_mu = 3.15109	q_A  = 0.15284	CLsb = 0.00001	CLb  = 0.00006	CLs  = 0.18952
+At r = 0.112500:	q_mu = 4.81873	q_A  = 0.35994	CLsb = 0.00001	CLb  = 0.00010	CLs  = 0.07852
+At r = 0.134935:	q_mu = 5.84288	q_A  = 0.52435	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04578
+At r = 0.127514:	q_mu = 5.50198	q_A  = 0.46660	CLsb = 0.00001	CLb  = 0.00011	CLs  = 0.05478
+At r = 0.130533:	q_mu = 5.64040	q_A  = 0.48970	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.05093
+At r = 0.132021:	q_mu = 5.70873	q_A  = 0.50128	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04913
+At r = 0.131141:	q_mu = 5.66830	q_A  = 0.49442	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.05018
+At r = 0.131439:	q_mu = 5.68198	q_A  = 0.49674	CLsb = 0.00001	CLb  = 0.00012	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1314
+Expected  2.5%: r < 0.1967
+Expected 16.0%: r < 0.2623
+Expected 50.0%: r < 0.3662
+Expected 84.0%: r < 0.5195
+Expected 97.5%: r < 0.7121
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_340_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_340_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..951e251
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_340_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.313477
+Sigma  for expected limits: 0.15994
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -112.292 (r = 8.31446e-12)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -79.5082 (r = 0.00295354)
+At r = 1.200000:	q_mu = 66.10513	q_A  = 38.15151	CLsb = 0.00000	CLb  = 0.01182	CLs  = 0.00000
+At r = 0.600000:	q_mu = 30.30873	q_A  = 12.60857	CLsb = 0.00000	CLb  = 0.00634	CLs  = 0.00000
+At r = 0.300000:	q_mu = 13.52539	q_A  = 3.53264	CLsb = 0.00000	CLb  = 0.00393	CLs  = 0.00072
+At r = 0.150000:	q_mu = 6.16046	q_A  = 0.90434	CLsb = 0.00010	CLb  = 0.00286	CLs  = 0.03561
+At r = 0.075000:	q_mu = 2.90119	q_A  = 0.22039	CLsb = 0.00044	CLb  = 0.00215	CLs  = 0.20583
+At r = 0.112500:	q_mu = 4.48968	q_A  = 0.50598	CLsb = 0.00022	CLb  = 0.00255	CLs  = 0.08724
+At r = 0.131135:	q_mu = 5.31028	q_A  = 0.69023	CLsb = 0.00015	CLb  = 0.00271	CLs  = 0.05613
+At r = 0.138745:	q_mu = 5.65099	q_A  = 0.77343	CLsb = 0.00013	CLb  = 0.00278	CLs  = 0.04676
+At r = 0.134992:	q_mu = 5.48253	q_A  = 0.73181	CLsb = 0.00014	CLb  = 0.00275	CLs  = 0.05118
+At r = 0.136520:	q_mu = 5.55098	q_A  = 0.74859	CLsb = 0.00014	CLb  = 0.00276	CLs  = 0.04934
+At r = 0.135770:	q_mu = 5.51737	q_A  = 0.74016	CLsb = 0.00014	CLb  = 0.00275	CLs  = 0.05024
+At r = 0.136077:	q_mu = 5.53113	q_A  = 0.74353	CLsb = 0.00014	CLb  = 0.00275	CLs  = 0.04987
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1361
+Expected  2.5%: r < 0.1678
+Expected 16.0%: r < 0.2241
+Expected 50.0%: r < 0.3135
+Expected 84.0%: r < 0.4447
+Expected 97.5%: r < 0.6135
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_350_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..822e585
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_350_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.276367
+Sigma  for expected limits: 0.141006
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -116.33 (r = 1.27829e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -96.9561 (r = 0.00152179)
+At r = 1.200000:	q_mu = 60.86842	q_A  = 45.17119	CLsb = 0.00000	CLb  = 0.12145	CLs  = 0.00000
+At r = 0.600000:	q_mu = 25.60759	q_A  = 15.52494	CLsb = 0.00000	CLb  = 0.10037	CLs  = 0.00000
+At r = 0.300000:	q_mu = 10.21176	q_A  = 4.47542	CLsb = 0.00026	CLb  = 0.08759	CLs  = 0.00296
+At r = 0.150000:	q_mu = 4.18630	q_A  = 1.16808	CLsb = 0.00662	CLb  = 0.08131	CLs  = 0.08145
+At r = 0.225000:	q_mu = 7.00579	q_A  = 2.58332	CLsb = 0.00143	CLb  = 0.08445	CLs  = 0.01690
+At r = 0.183616:	q_mu = 5.39751	q_A  = 1.73930	CLsb = 0.00341	CLb  = 0.08273	CLs  = 0.04119
+At r = 0.169246:	q_mu = 4.86903	q_A  = 1.48239	CLsb = 0.00455	CLb  = 0.08215	CLs  = 0.05538
+At r = 0.176089:	q_mu = 5.11865	q_A  = 1.60230	CLsb = 0.00397	CLb  = 0.08242	CLs  = 0.04814
+At r = 0.173241:	q_mu = 5.01430	q_A  = 1.55184	CLsb = 0.00420	CLb  = 0.08231	CLs  = 0.05104
+At r = 0.174615:	q_mu = 5.06455	q_A  = 1.57608	CLsb = 0.00409	CLb  = 0.08236	CLs  = 0.04962
+At r = 0.174047:	q_mu = 5.04373	q_A  = 1.56603	CLsb = 0.00413	CLb  = 0.08234	CLs  = 0.05021
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1740
+Expected  2.5%: r < 0.1474
+Expected 16.0%: r < 0.1972
+Expected 50.0%: r < 0.2764
+Expected 84.0%: r < 0.3942
+Expected 97.5%: r < 0.5424
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_360_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_360_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6978bdf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_360_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.237305
+Sigma  for expected limits: 0.121076
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -130.711 (r = 1.14513e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -125.766 (r = 0.00042722)
+At r = 1.200000:	q_mu = 65.00100	q_A  = 55.20787	CLsb = 0.00000	CLb  = 0.25495	CLs  = 0.00000
+At r = 0.600000:	q_mu = 26.38681	q_A  = 19.92713	CLsb = 0.00000	CLb  = 0.23468	CLs  = 0.00000
+At r = 0.300000:	q_mu = 9.72066	q_A  = 5.96493	CLsb = 0.00066	CLb  = 0.22098	CLs  = 0.00299
+At r = 0.150000:	q_mu = 3.58928	q_A  = 1.59351	CLsb = 0.02004	CLb  = 0.21462	CLs  = 0.09339
+At r = 0.225000:	q_mu = 6.39187	q_A  = 3.48066	CLsb = 0.00407	CLb  = 0.21763	CLs  = 0.01872
+At r = 0.188325:	q_mu = 4.94872	q_A  = 2.47666	CLsb = 0.00916	CLb  = 0.21611	CLs  = 0.04238
+At r = 0.174243:	q_mu = 4.43080	q_A  = 2.13174	CLsb = 0.01231	CLb  = 0.21555	CLs  = 0.05710
+At r = 0.182077:	q_mu = 4.71646	q_A  = 2.32087	CLsb = 0.01045	CLb  = 0.21586	CLs  = 0.04842
+At r = 0.179293:	q_mu = 4.61415	q_A  = 2.25278	CLsb = 0.01108	CLb  = 0.21575	CLs  = 0.05136
+At r = 0.180866:	q_mu = 4.67186	q_A  = 2.29114	CLsb = 0.01072	CLb  = 0.21581	CLs  = 0.04968
+At r = 0.180311:	q_mu = 4.65146	q_A  = 2.27756	CLsb = 0.01085	CLb  = 0.21579	CLs  = 0.05027
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1803
+Expected  2.5%: r < 0.1256
+Expected 16.0%: r < 0.1688
+Expected 50.0%: r < 0.2373
+Expected 84.0%: r < 0.3385
+Expected 97.5%: r < 0.4657
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_370_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_370_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..41c19a3
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_370_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.208008
+Sigma  for expected limits: 0.106128
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -167.078 (r = 5.85482e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -157.802 (r = 0.000225297)
+At r = 1.200000:	q_mu = 77.39288	q_A  = 64.95501	CLsb = 0.00000	CLb  = 0.22017	CLs  = 0.00000
+At r = 0.600000:	q_mu = 32.87397	q_A  = 24.44918	CLsb = 0.00000	CLb  = 0.19713	CLs  = 0.00000
+At r = 0.300000:	q_mu = 12.60094	q_A  = 7.57518	CLsb = 0.00012	CLb  = 0.18062	CLs  = 0.00068
+At r = 0.150000:	q_mu = 4.77741	q_A  = 2.06551	CLsb = 0.00864	CLb  = 0.17272	CLs  = 0.05003
+At r = 0.225000:	q_mu = 8.39045	q_A  = 4.46437	CLsb = 0.00118	CLb  = 0.17643	CLs  = 0.00666
+At r = 0.187500:	q_mu = 6.49920	q_A  = 3.16611	CLsb = 0.00330	CLb  = 0.17448	CLs  = 0.01894
+At r = 0.157517:	q_mu = 5.10797	q_A  = 2.26935	CLsb = 0.00717	CLb  = 0.17305	CLs  = 0.04144
+At r = 0.151521:	q_mu = 4.84378	q_A  = 2.10615	CLsb = 0.00832	CLb  = 0.17279	CLs  = 0.04817
+At r = 0.150322:	q_mu = 4.79153	q_A  = 2.07419	CLsb = 0.00857	CLb  = 0.17274	CLs  = 0.04963
+At r = 0.150082:	q_mu = 4.78101	q_A  = 2.06772	CLsb = 0.00862	CLb  = 0.17272	CLs  = 0.04992
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1501
+Expected  2.5%: r < 0.1101
+Expected 16.0%: r < 0.1472
+Expected 50.0%: r < 0.2080
+Expected 84.0%: r < 0.2967
+Expected 97.5%: r < 0.4082
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_380_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_380_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b67d9e9
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_380_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.182617
+Sigma  for expected limits: 0.0931738
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -208.304 (r = 2.47185e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -196.96 (r = 1.48835e-06)
+At r = 1.200000:	q_mu = 89.48698	q_A  = 75.58484	CLsb = 0.00000	CLb  = 0.21199	CLs  = 0.00000
+At r = 0.600000:	q_mu = 39.35061	q_A  = 29.61836	CLsb = 0.00000	CLb  = 0.18562	CLs  = 0.00000
+At r = 0.300000:	q_mu = 15.51017	q_A  = 9.50655	CLsb = 0.00002	CLb  = 0.16513	CLs  = 0.00015
+At r = 0.150000:	q_mu = 5.96094	q_A  = 2.64716	CLsb = 0.00408	CLb  = 0.15425	CLs  = 0.02645
+At r = 0.075000:	q_mu = 2.41316	q_A  = 0.69219	CLsb = 0.03100	CLb  = 0.15051	CLs  = 0.20600
+At r = 0.112500:	q_mu = 4.05985	q_A  = 1.52323	CLsb = 0.01185	CLb  = 0.15206	CLs  = 0.07796
+At r = 0.132327:	q_mu = 5.03524	q_A  = 2.08268	CLsb = 0.00683	CLb  = 0.15316	CLs  = 0.04459
+At r = 0.125110:	q_mu = 4.67242	q_A  = 1.86999	CLsb = 0.00838	CLb  = 0.15276	CLs  = 0.05483
+At r = 0.129127:	q_mu = 4.87324	q_A  = 1.98705	CLsb = 0.00748	CLb  = 0.15298	CLs  = 0.04889
+At r = 0.127695:	q_mu = 4.80132	q_A  = 1.94493	CLsb = 0.00779	CLb  = 0.15290	CLs  = 0.05094
+At r = 0.128501:	q_mu = 4.84174	q_A  = 1.96858	CLsb = 0.00761	CLb  = 0.15294	CLs  = 0.04978
+At r = 0.128215:	q_mu = 4.82738	q_A  = 1.96017	CLsb = 0.00767	CLb  = 0.15293	CLs  = 0.05019
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1282
+Expected  2.5%: r < 0.0967
+Expected 16.0%: r < 0.1296
+Expected 50.0%: r < 0.1826
+Expected 84.0%: r < 0.2605
+Expected 97.5%: r < 0.3607
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_390_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_390_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0a6dfea
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_390_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.160645
+Sigma  for expected limits: 0.081963
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -245.915 (r = 7.34585e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -244.15 (r = 9.65223e-07)
+At r = 1.200000:	q_mu = 93.00380	q_A  = 87.18885	CLsb = 0.00000	CLb  = 0.37776	CLs  = 0.00000
+At r = 0.600000:	q_mu = 39.56333	q_A  = 35.49591	CLsb = 0.00000	CLb  = 0.36642	CLs  = 0.00000
+At r = 0.300000:	q_mu = 14.32042	q_A  = 11.80751	CLsb = 0.00007	CLb  = 0.35731	CLs  = 0.00020
+At r = 0.150000:	q_mu = 4.74521	q_A  = 3.36098	CLsb = 0.01352	CLb  = 0.35289	CLs  = 0.03832
+At r = 0.075000:	q_mu = 1.60342	q_A  = 0.88814	CLsb = 0.09310	CLb  = 0.35216	CLs  = 0.26437
+At r = 0.112500:	q_mu = 3.00170	q_A  = 1.94420	CLsb = 0.03807	CLb  = 0.35227	CLs  = 0.10807
+At r = 0.134804:	q_mu = 3.99986	q_A  = 2.74601	CLsb = 0.02090	CLb  = 0.35260	CLs  = 0.05929
+At r = 0.142589:	q_mu = 4.37559	q_A  = 3.05461	CLsb = 0.01677	CLb  = 0.35275	CLs  = 0.04753
+At r = 0.139604:	q_mu = 4.22986	q_A  = 2.93453	CLsb = 0.01826	CLb  = 0.35269	CLs  = 0.05177
+At r = 0.141173:	q_mu = 4.30619	q_A  = 2.99736	CLsb = 0.01746	CLb  = 0.35272	CLs  = 0.04950
+At r = 0.140579:	q_mu = 4.27720	q_A  = 2.97348	CLsb = 0.01776	CLb  = 0.35271	CLs  = 0.05035
+At r = 0.140893:	q_mu = 4.29251	q_A  = 2.98608	CLsb = 0.01760	CLb  = 0.35271	CLs  = 0.04990
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1409
+Expected  2.5%: r < 0.0850
+Expected 16.0%: r < 0.1143
+Expected 50.0%: r < 0.1606
+Expected 84.0%: r < 0.2304
+Expected 97.5%: r < 0.3181
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_400_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..dd3629e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_400_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.143066
+Sigma  for expected limits: 0.0729944
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -304.594 (r = 1.34117e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -297.818 (r = 1.12204e-06)
+At r = 1.200013:	q_mu = 103.36235	q_A  = 99.32219	CLsb = 0.00000	CLb  = 0.41969	CLs  = 0.00000
+At r = 0.600013:	q_mu = 44.75210	q_A  = 41.82977	CLsb = 0.00000	CLb  = 0.41063	CLs  = 0.00000
+At r = 0.300013:	q_mu = 16.26399	q_A  = 14.39062	CLsb = 0.00003	CLb  = 0.40249	CLs  = 0.00007
+At r = 0.150013:	q_mu = 5.24944	q_A  = 4.18765	CLsb = 0.01056	CLb  = 0.39765	CLs  = 0.02656
+At r = 0.075013:	q_mu = 1.67481	q_A  = 1.11783	CLsb = 0.09330	CLb  = 0.39612	CLs  = 0.23555
+At r = 0.112513:	q_mu = 3.25257	q_A  = 2.43516	CLsb = 0.03420	CLb  = 0.39670	CLs  = 0.08620
+At r = 0.133892:	q_mu = 4.34355	q_A  = 3.38475	CLsb = 0.01785	CLb  = 0.39721	CLs  = 0.04494
+At r = 0.126813:	q_mu = 3.96813	q_A  = 3.05555	CLsb = 0.02227	CLb  = 0.39703	CLs  = 0.05608
+At r = 0.129747:	q_mu = 4.12197	q_A  = 3.19017	CLsb = 0.02033	CLb  = 0.39710	CLs  = 0.05120
+At r = 0.131178:	q_mu = 4.19793	q_A  = 3.25678	CLsb = 0.01944	CLb  = 0.39714	CLs  = 0.04896
+At r = 0.130353:	q_mu = 4.15403	q_A  = 3.21827	CLsb = 0.01995	CLb  = 0.39712	CLs  = 0.05024
+At r = 0.130640:	q_mu = 4.16926	q_A  = 3.23162	CLsb = 0.01977	CLb  = 0.39713	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1306
+Expected  2.5%: r < 0.0754
+Expected 16.0%: r < 0.1016
+Expected 50.0%: r < 0.1431
+Expected 84.0%: r < 0.2052
+Expected 97.5%: r < 0.2833
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_410_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_410_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..544d03e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_410_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.131348
+Sigma  for expected limits: 0.0670153
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -356.321 (r = 4.59474e-07)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -348.03 (r = 2.25453e-08)
+At r = 1.200000:	q_mu = 114.87828	q_A  = 109.88733	CLsb = 0.00000	CLb  = 0.40592	CLs  = 0.00000
+At r = 0.600000:	q_mu = 51.06473	q_A  = 47.39782	CLsb = 0.00000	CLb  = 0.39500	CLs  = 0.00000
+At r = 0.300000:	q_mu = 19.10913	q_A  = 16.71465	CLsb = 0.00001	CLb  = 0.38482	CLs  = 0.00002
+At r = 0.150000:	q_mu = 6.32566	q_A  = 4.94789	CLsb = 0.00564	CLb  = 0.37840	CLs  = 0.01490
+At r = 0.075000:	q_mu = 2.05931	q_A  = 1.33104	CLsb = 0.07087	CLb  = 0.37614	CLs  = 0.18842
+At r = 0.112500:	q_mu = 3.95403	q_A  = 2.88911	CLsb = 0.02206	CLb  = 0.37704	CLs  = 0.05850
+At r = 0.131250:	q_mu = 5.08523	q_A  = 3.86081	CLsb = 0.01141	CLb  = 0.37768	CLs  = 0.03021
+At r = 0.119814:	q_mu = 4.38163	q_A  = 3.25377	CLsb = 0.01715	CLb  = 0.37728	CLs  = 0.04547
+At r = 0.116145:	q_mu = 4.16493	q_A  = 3.06854	CLsb = 0.01948	CLb  = 0.37716	CLs  = 0.05164
+At r = 0.117623:	q_mu = 4.25168	q_A  = 3.14258	CLsb = 0.01851	CLb  = 0.37721	CLs  = 0.04907
+At r = 0.116893:	q_mu = 4.20872	q_A  = 3.10589	CLsb = 0.01898	CLb  = 0.37718	CLs  = 0.05033
+At r = 0.117189:	q_mu = 4.22613	q_A  = 3.12075	CLsb = 0.01879	CLb  = 0.37719	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1172
+Expected  2.5%: r < 0.0690
+Expected 16.0%: r < 0.0929
+Expected 50.0%: r < 0.1313
+Expected 84.0%: r < 0.1874
+Expected 97.5%: r < 0.2594
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_420_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_420_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..709a44c
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_420_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.120605
+Sigma  for expected limits: 0.0615345
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -403.385 (r = 1.57706e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -402.028 (r = 2.59699e-06)
+At r = 1.200000:	q_mu = 126.66018	q_A  = 120.96622	CLsb = 0.00000	CLb  = 0.39787	CLs  = 0.00000
+At r = 0.600000:	q_mu = 57.50089	q_A  = 53.25451	CLsb = 0.00000	CLb  = 0.38555	CLs  = 0.00000
+At r = 0.300000:	q_mu = 22.02092	q_A  = 19.19675	CLsb = 0.00000	CLb  = 0.37362	CLs  = 0.00000
+At r = 0.150000:	q_mu = 7.42568	q_A  = 5.77428	CLsb = 0.00301	CLb  = 0.36557	CLs  = 0.00824
+At r = 0.075000:	q_mu = 2.44582	q_A  = 1.56494	CLsb = 0.05446	CLb  = 0.36239	CLs  = 0.15028
+At r = 0.112500:	q_mu = 4.66734	q_A  = 3.38502	CLsb = 0.01432	CLb  = 0.36374	CLs  = 0.03938
+At r = 0.093750:	q_mu = 3.48313	q_A  = 2.39761	CLsb = 0.02879	CLb  = 0.36297	CLs  = 0.07931
+At r = 0.103633:	q_mu = 4.08981	q_A  = 2.89955	CLsb = 0.02007	CLb  = 0.36336	CLs  = 0.05523
+At r = 0.107493:	q_mu = 4.33756	q_A  = 3.10699	CLsb = 0.01735	CLb  = 0.36352	CLs  = 0.04774
+At r = 0.105742:	q_mu = 4.22441	q_A  = 3.01208	CLsb = 0.01854	CLb  = 0.36344	CLs  = 0.05102
+At r = 0.106519:	q_mu = 4.27444	q_A  = 3.05401	CLsb = 0.01801	CLb  = 0.36348	CLs  = 0.04954
+At r = 0.106169:	q_mu = 4.25191	q_A  = 3.03512	CLsb = 0.01825	CLb  = 0.36346	CLs  = 0.05020
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1062
+Expected  2.5%: r < 0.0636
+Expected 16.0%: r < 0.0854
+Expected 50.0%: r < 0.1206
+Expected 84.0%: r < 0.1720
+Expected 97.5%: r < 0.2382
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_430_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_430_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..66842d1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_430_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.11084
+Sigma  for expected limits: 0.056552
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -457.954 (r = 4.5373e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -459.693 (r = 4.62772e-06)
+At r = 1.200000:	q_mu = 136.97118	q_A  = 132.58188	CLsb = 0.00000	CLb  = 0.42442	CLs  = 0.00000
+At r = 0.600000:	q_mu = 62.77840	q_A  = 59.40345	CLsb = 0.00000	CLb  = 0.41335	CLs  = 0.00000
+At r = 0.300000:	q_mu = 24.15535	q_A  = 21.83427	CLsb = 0.00000	CLb  = 0.40193	CLs  = 0.00000
+At r = 0.150000:	q_mu = 8.06241	q_A  = 6.66575	CLsb = 0.00217	CLb  = 0.39340	CLs  = 0.00552
+At r = 0.075000:	q_mu = 2.57752	q_A  = 1.81931	CLsb = 0.05156	CLb  = 0.38933	CLs  = 0.13244
+At r = 0.112500:	q_mu = 5.01631	q_A  = 3.92234	CLsb = 0.01201	CLb  = 0.39120	CLs  = 0.03071
+At r = 0.094995:	q_mu = 3.79472	q_A  = 2.85339	CLsb = 0.02454	CLb  = 0.39026	CLs  = 0.06289
+At r = 0.102977:	q_mu = 4.33482	q_A  = 3.32300	CLsb = 0.01785	CLb  = 0.39069	CLs  = 0.04568
+At r = 0.099575:	q_mu = 4.10092	q_A  = 3.11896	CLsb = 0.02047	CLb  = 0.39050	CLs  = 0.05243
+At r = 0.101192:	q_mu = 4.21138	q_A  = 3.21519	CLsb = 0.01918	CLb  = 0.39059	CLs  = 0.04912
+At r = 0.100515:	q_mu = 4.16502	q_A  = 3.17477	CLsb = 0.01972	CLb  = 0.39055	CLs  = 0.05048
+At r = 0.100840:	q_mu = 4.18721	q_A  = 3.19411	CLsb = 0.01946	CLb  = 0.39057	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1008
+Expected  2.5%: r < 0.0585
+Expected 16.0%: r < 0.0785
+Expected 50.0%: r < 0.1108
+Expected 84.0%: r < 0.1590
+Expected 97.5%: r < 0.2195
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_440_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_440_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..27f5ff2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_440_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.103027
+Sigma  for expected limits: 0.0525659
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -505.286 (r = 0.0142003)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -523.684 (r = 9.37967e-08)
+At r = 1.214200:	q_mu = 141.40172	q_A  = 147.14392	CLsb = 0.00000	CLb  = 0.59446	CLs  = 0.00000
+At r = 0.614200:	q_mu = 63.98582	q_A  = 68.18214	CLsb = 0.00000	CLb  = 0.60185	CLs  = 0.00000
+At r = 0.314200:	q_mu = 23.84676	q_A  = 26.63549	CLsb = 0.00000	CLb  = 0.60936	CLs  = 0.00000
+At r = 0.164200:	q_mu = 7.36732	q_A  = 9.02667	CLsb = 0.00332	CLb  = 0.61415	CLs  = 0.00541
+At r = 0.089200:	q_mu = 2.01240	q_A  = 2.93523	CLsb = 0.07801	CLb  = 0.61587	CLs  = 0.12666
+At r = 0.126700:	q_mu = 4.34425	q_A  = 5.65054	CLsb = 0.01857	CLb  = 0.61516	CLs  = 0.03018
+At r = 0.108642:	q_mu = 3.12589	q_A  = 4.25119	CLsb = 0.03853	CLb  = 0.61555	CLs  = 0.06259
+At r = 0.116703:	q_mu = 3.64910	q_A  = 4.85604	CLsb = 0.02805	CLb  = 0.61538	CLs  = 0.04558
+At r = 0.113209:	q_mu = 3.41804	q_A  = 4.58976	CLsb = 0.03224	CLb  = 0.61546	CLs  = 0.05239
+At r = 0.114845:	q_mu = 3.52542	q_A  = 4.71367	CLsb = 0.03022	CLb  = 0.61543	CLs  = 0.04910
+At r = 0.114151:	q_mu = 3.47969	q_A  = 4.66094	CLsb = 0.03106	CLb  = 0.61544	CLs  = 0.05047
+At r = 0.114480:	q_mu = 3.50129	q_A  = 4.68585	CLsb = 0.03066	CLb  = 0.61543	CLs  = 0.04982
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1145
+Expected  2.5%: r < 0.0543
+Expected 16.0%: r < 0.0730
+Expected 50.0%: r < 0.1030
+Expected 84.0%: r < 0.1470
+Expected 97.5%: r < 0.2035
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_450_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..d2fff02
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_450_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0961914
+Sigma  for expected limits: 0.0490782
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -540.808 (r = 0.0685438)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -590.194 (r = 3.90263e-08)
+At r = 1.268544:	q_mu = 142.08334	q_A  = 167.49090	CLsb = 0.00000	CLb  = 0.84660	CLs  = 0.00000
+At r = 0.668544:	q_mu = 64.11550	q_A  = 83.52988	CLsb = 0.00000	CLb  = 0.87124	CLs  = 0.00000
+At r = 0.368544:	q_mu = 24.12540	q_A  = 37.89762	CLsb = 0.00000	CLb  = 0.89331	CLs  = 0.00000
+At r = 0.218544:	q_mu = 7.62097	q_A  = 16.74862	CLsb = 0.00288	CLb  = 0.90855	CLs  = 0.00318
+At r = 0.143544:	q_mu = 2.13060	q_A  = 8.08080	CLsb = 0.07219	CLb  = 0.91667	CLs  = 0.07875
+At r = 0.181044:	q_mu = 4.54034	q_A  = 12.16686	CLsb = 0.01655	CLb  = 0.91266	CLs  = 0.01814
+At r = 0.160326:	q_mu = 3.11577	q_A  = 9.83888	CLsb = 0.03877	CLb  = 0.91490	CLs  = 0.04238
+At r = 0.153385:	q_mu = 2.68911	q_A  = 9.09710	CLsb = 0.05052	CLb  = 0.91563	CLs  = 0.05517
+At r = 0.156845:	q_mu = 2.89841	q_A  = 9.46427	CLsb = 0.04433	CLb  = 0.91527	CLs  = 0.04844
+At r = 0.155478:	q_mu = 2.81491	q_A  = 9.31859	CLsb = 0.04670	CLb  = 0.91541	CLs  = 0.05101
+At r = 0.156174:	q_mu = 2.85731	q_A  = 9.39268	CLsb = 0.04548	CLb  = 0.91534	CLs  = 0.04969
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1562
+Expected  2.5%: r < 0.0507
+Expected 16.0%: r < 0.0681
+Expected 50.0%: r < 0.0962
+Expected 84.0%: r < 0.1365
+Expected 97.5%: r < 0.1883
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_460_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_460_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..516618b
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_460_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.090332
+Sigma  for expected limits: 0.0460886
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -572.005 (r = 0.112719)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -647.67 (r = 2.18632e-06)
+At r = 1.312719:	q_mu = 142.94218	q_A  = 185.61220	CLsb = 0.00000	CLb  = 0.95235	CLs  = 0.00000
+At r = 0.712719:	q_mu = 64.12353	q_A  = 97.46317	CLsb = 0.00000	CLb  = 0.96888	CLs  = 0.00000
+At r = 0.412719:	q_mu = 24.19617	q_A  = 48.59291	CLsb = 0.00000	CLb  = 0.97991	CLs  = 0.00000
+At r = 0.262719:	q_mu = 7.73397	q_A  = 24.84320	CLsb = 0.00271	CLb  = 0.98621	CLs  = 0.00275
+At r = 0.187719:	q_mu = 2.19412	q_A  = 14.29589	CLsb = 0.06927	CLb  = 0.98927	CLs  = 0.07002
+At r = 0.225219:	q_mu = 4.63635	q_A  = 19.38732	CLsb = 0.01565	CLb  = 0.98777	CLs  = 0.01584
+At r = 0.202017:	q_mu = 3.03756	q_A  = 16.18656	CLsb = 0.04068	CLb  = 0.98871	CLs  = 0.04114
+At r = 0.194964:	q_mu = 2.60715	q_A  = 15.24543	CLsb = 0.05319	CLb  = 0.98899	CLs  = 0.05378
+At r = 0.197911:	q_mu = 2.78363	q_A  = 15.63670	CLsb = 0.04762	CLb  = 0.98887	CLs  = 0.04815
+At r = 0.196519:	q_mu = 2.69965	q_A  = 15.45150	CLsb = 0.05019	CLb  = 0.98892	CLs  = 0.05075
+At r = 0.197112:	q_mu = 2.73529	q_A  = 15.53033	CLsb = 0.04908	CLb  = 0.98890	CLs  = 0.04963
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1971
+Expected  2.5%: r < 0.0476
+Expected 16.0%: r < 0.0640
+Expected 50.0%: r < 0.0903
+Expected 84.0%: r < 0.1296
+Expected 97.5%: r < 0.1778
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_470_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_470_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..4d9e9e5
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_470_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0854492
+Sigma  for expected limits: 0.0435973
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -634.141 (r = 0.110322)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -713.177 (r = 1.55498e-05)
+At r = 1.310322:	q_mu = 153.93803	q_A  = 199.43785	CLsb = 0.00000	CLb  = 0.95683	CLs  = 0.00000
+At r = 0.710322:	q_mu = 69.74057	q_A  = 105.23990	CLsb = 0.00000	CLb  = 0.97178	CLs  = 0.00000
+At r = 0.410322:	q_mu = 26.59429	q_A  = 52.72711	CLsb = 0.00000	CLb  = 0.98233	CLs  = 0.00000
+At r = 0.260322:	q_mu = 8.58051	q_A  = 26.99374	CLsb = 0.00170	CLb  = 0.98828	CLs  = 0.00172
+At r = 0.185322:	q_mu = 2.45019	q_A  = 15.49773	CLsb = 0.05876	CLb  = 0.99114	CLs  = 0.05928
+At r = 0.222822:	q_mu = 5.15963	q_A  = 21.05282	CLsb = 0.01156	CLb  = 0.98974	CLs  = 0.01168
+At r = 0.204072:	q_mu = 3.70445	q_A  = 18.21874	CLsb = 0.02713	CLb  = 0.99045	CLs  = 0.02740
+At r = 0.192381:	q_mu = 2.89707	q_A  = 16.50754	CLsb = 0.04437	CLb  = 0.99088	CLs  = 0.04478
+At r = 0.188749:	q_mu = 2.66323	q_A  = 15.98571	CLsb = 0.05135	CLb  = 0.99102	CLs  = 0.05181
+At r = 0.190184:	q_mu = 2.75464	q_A  = 16.19135	CLsb = 0.04849	CLb  = 0.99096	CLs  = 0.04893
+At r = 0.189463:	q_mu = 2.70852	q_A  = 16.08787	CLsb = 0.04991	CLb  = 0.99099	CLs  = 0.05036
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1895
+Expected  2.5%: r < 0.0451
+Expected 16.0%: r < 0.0605
+Expected 50.0%: r < 0.0854
+Expected 84.0%: r < 0.1219
+Expected 97.5%: r < 0.1677
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_480_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_480_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..862bc54
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_480_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0805664
+Sigma  for expected limits: 0.0411061
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -723.346 (r = 0.0671984)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -783.216 (r = 6.60604e-06)
+At r = 1.267198:	q_mu = 175.33525	q_A  = 207.71948	CLsb = 0.00000	CLb  = 0.87921	CLs  = 0.00000
+At r = 0.667198:	q_mu = 81.27298	q_A  = 105.90561	CLsb = 0.00000	CLb  = 0.89900	CLs  = 0.00000
+At r = 0.367198:	q_mu = 31.55144	q_A  = 49.35093	CLsb = 0.00000	CLb  = 0.92043	CLs  = 0.00000
+At r = 0.217198:	q_mu = 10.25360	q_A  = 22.26918	CLsb = 0.00068	CLb  = 0.93535	CLs  = 0.00073
+At r = 0.142198:	q_mu = 2.92203	q_A  = 10.85075	CLsb = 0.04369	CLb  = 0.94348	CLs  = 0.04631
+At r = 0.104698:	q_mu = 0.77463	q_A  = 6.24573	CLsb = 0.18939	CLb  = 0.94728	CLs  = 0.19994
+At r = 0.123448:	q_mu = 1.69398	q_A  = 8.43105	CLsb = 0.09654	CLb  = 0.94543	CLs  = 0.10211
+At r = 0.136993:	q_mu = 2.55190	q_A  = 10.15720	CLsb = 0.05508	CLb  = 0.94403	CLs  = 0.05835
+At r = 0.139774:	q_mu = 2.74681	q_A  = 10.52569	CLsb = 0.04872	CLb  = 0.94374	CLs  = 0.05163
+At r = 0.140831:	q_mu = 2.82242	q_A  = 10.66679	CLsb = 0.04648	CLb  = 0.94363	CLs  = 0.04925
+At r = 0.140350:	q_mu = 2.78787	q_A  = 10.60247	CLsb = 0.04749	CLb  = 0.94368	CLs  = 0.05032
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.1403
+Expected  2.5%: r < 0.0425
+Expected 16.0%: r < 0.0571
+Expected 50.0%: r < 0.0806
+Expected 84.0%: r < 0.1149
+Expected 97.5%: r < 0.1581
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_490_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_490_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..388eb09
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_490_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0766602
+Sigma  for expected limits: 0.039113
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -829.008 (r = 0.0156335)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -856.768 (r = 1.57784e-07)
+At r = 1.215634:	q_mu = 203.08451	q_A  = 213.25274	CLsb = 0.00000	CLb  = 0.63773	CLs  = 0.00000
+At r = 0.615634:	q_mu = 96.43604	q_A  = 103.88015	CLsb = 0.00000	CLb  = 0.64504	CLs  = 0.00000
+At r = 0.315634:	q_mu = 38.17933	q_A  = 43.28478	CLsb = 0.00000	CLb  = 0.65549	CLs  = 0.00000
+At r = 0.165634:	q_mu = 12.44591	q_A  = 15.58715	CLsb = 0.00021	CLb  = 0.66282	CLs  = 0.00032
+At r = 0.090634:	q_mu = 3.50928	q_A  = 5.29656	CLsb = 0.03051	CLb  = 0.66572	CLs  = 0.04583
+At r = 0.053134:	q_mu = 0.91960	q_A  = 1.92664	CLsb = 0.16879	CLb  = 0.66607	CLs  = 0.25341
+At r = 0.071884:	q_mu = 2.02392	q_A  = 3.42875	CLsb = 0.07742	CLb  = 0.66605	CLs  = 0.11624
+At r = 0.085481:	q_mu = 3.06537	q_A  = 4.74938	CLsb = 0.03999	CLb  = 0.66585	CLs  = 0.06006
+At r = 0.088276:	q_mu = 3.30283	q_A  = 5.04316	CLsb = 0.03458	CLb  = 0.66579	CLs  = 0.05194
+At r = 0.089322:	q_mu = 3.39359	q_A  = 5.15489	CLsb = 0.03273	CLb  = 0.66577	CLs  = 0.04915
+At r = 0.088854:	q_mu = 3.35279	q_A  = 5.10472	CLsb = 0.03355	CLb  = 0.66578	CLs  = 0.05039
+At r = 0.089063:	q_mu = 3.37103	q_A  = 5.12717	CLsb = 0.03318	CLb  = 0.66578	CLs  = 0.04983
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0891
+Expected  2.5%: r < 0.0404
+Expected 16.0%: r < 0.0543
+Expected 50.0%: r < 0.0767
+Expected 84.0%: r < 0.1087
+Expected 97.5%: r < 0.1500
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_500_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..c169316
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_500_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0737305
+Sigma  for expected limits: 0.0376183
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -911.172 (r = 6.40898e-11)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -906.139 (r = 2.6656e-06)
+At r = 1.200000:	q_mu = 228.44603	q_A  = 218.71829	CLsb = 0.00000	CLb  = 0.37112	CLs  = 0.00000
+At r = 0.600000:	q_mu = 112.98935	q_A  = 105.21156	CLsb = 0.00000	CLb  = 0.35229	CLs  = 0.00000
+At r = 0.300000:	q_mu = 47.77111	q_A  = 42.16905	CLsb = 0.00000	CLb  = 0.33311	CLs  = 0.00000
+At r = 0.150000:	q_mu = 17.40358	q_A  = 13.85385	CLsb = 0.00001	CLb  = 0.31673	CLs  = 0.00004
+At r = 0.075000:	q_mu = 5.92138	q_A  = 3.92595	CLsb = 0.00648	CLb  = 0.30729	CLs  = 0.02108
+At r = 0.037500:	q_mu = 2.08584	q_A  = 1.04002	CLsb = 0.06269	CLb  = 0.30406	CLs  = 0.20618
+At r = 0.056250:	q_mu = 3.80663	q_A  = 2.27206	CLsb = 0.02188	CLb  = 0.30536	CLs  = 0.07165
+At r = 0.064412:	q_mu = 4.68135	q_A  = 2.94258	CLsb = 0.01313	CLb  = 0.30614	CLs  = 0.04290
+At r = 0.060831:	q_mu = 4.28855	q_A  = 2.63869	CLsb = 0.01649	CLb  = 0.30579	CLs  = 0.05394
+At r = 0.062496:	q_mu = 4.46947	q_A  = 2.77814	CLsb = 0.01485	CLb  = 0.30595	CLs  = 0.04853
+At r = 0.061787:	q_mu = 4.39200	q_A  = 2.71832	CLsb = 0.01553	CLb  = 0.30588	CLs  = 0.05077
+At r = 0.062121:	q_mu = 4.42845	q_A  = 2.74644	CLsb = 0.01520	CLb  = 0.30591	CLs  = 0.04970
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0621
+Expected  2.5%: r < 0.0392
+Expected 16.0%: r < 0.0524
+Expected 50.0%: r < 0.0737
+Expected 84.0%: r < 0.1058
+Expected 97.5%: r < 0.1451
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_510_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_510_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..a05f444
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_510_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0698242
+Sigma  for expected limits: 0.0356253
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1011.99 (r = 4.0599e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -985.723 (r = 1.80281e-06)
+At r = 1.200000:	q_mu = 253.75697	q_A  = 231.49147	CLsb = 0.00000	CLb  = 0.23217	CLs  = 0.00000
+At r = 0.600000:	q_mu = 129.88354	q_A  = 112.71816	CLsb = 0.00000	CLb  = 0.20943	CLs  = 0.00000
+At r = 0.300000:	q_mu = 58.08778	q_A  = 45.81617	CLsb = 0.00000	CLb  = 0.18234	CLs  = 0.00000
+At r = 0.150000:	q_mu = 23.00369	q_A  = 15.25101	CLsb = 0.00000	CLb  = 0.16045	CLs  = 0.00000
+At r = 0.075000:	q_mu = 8.71072	q_A  = 4.35498	CLsb = 0.00087	CLb  = 0.14833	CLs  = 0.00588
+At r = 0.037500:	q_mu = 3.43792	q_A  = 1.15613	CLsb = 0.01633	CLb  = 0.14433	CLs  = 0.11313
+At r = 0.056250:	q_mu = 5.87294	q_A  = 2.52365	CLsb = 0.00411	CLb  = 0.14590	CLs  = 0.02818
+At r = 0.046312:	q_mu = 4.52862	q_A  = 1.73798	CLsb = 0.00873	CLb  = 0.14493	CLs  = 0.06026
+At r = 0.050252:	q_mu = 5.04738	q_A  = 2.03325	CLsb = 0.00652	CLb  = 0.14528	CLs  = 0.04486
+At r = 0.048305:	q_mu = 4.78870	q_A  = 1.88466	CLsb = 0.00754	CLb  = 0.14510	CLs  = 0.05196
+At r = 0.049101:	q_mu = 4.89394	q_A  = 1.94479	CLsb = 0.00710	CLb  = 0.14517	CLs  = 0.04894
+At r = 0.048714:	q_mu = 4.84260	q_A  = 1.91539	CLsb = 0.00731	CLb  = 0.14513	CLs  = 0.05039
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0487
+Expected  2.5%: r < 0.0368
+Expected 16.0%: r < 0.0500
+Expected 50.0%: r < 0.0698
+Expected 84.0%: r < 0.1002
+Expected 97.5%: r < 0.1374
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_520_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_520_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ed368a2
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_520_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0678711
+Sigma  for expected limits: 0.0346287
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1084.59 (r = 1.39161e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1046.73 (r = 3.73166e-06)
+At r = 1.200000:	q_mu = 269.07739	q_A  = 240.62333	CLsb = 0.00000	CLb  = 0.17953	CLs  = 0.00000
+At r = 0.600000:	q_mu = 139.60422	q_A  = 118.01977	CLsb = 0.00000	CLb  = 0.16025	CLs  = 0.00000
+At r = 0.300000:	q_mu = 63.92342	q_A  = 48.44762	CLsb = 0.00000	CLb  = 0.13313	CLs  = 0.00000
+At r = 0.150000:	q_mu = 26.10989	q_A  = 16.27957	CLsb = 0.00000	CLb  = 0.11158	CLs  = 0.00000
+At r = 0.075000:	q_mu = 10.22690	q_A  = 4.67456	CLsb = 0.00028	CLb  = 0.09957	CLs  = 0.00286
+At r = 0.037500:	q_mu = 4.16051	q_A  = 1.24271	CLsb = 0.00769	CLb  = 0.09532	CLs  = 0.08064
+At r = 0.056250:	q_mu = 6.98765	q_A  = 2.71155	CLsb = 0.00161	CLb  = 0.09707	CLs  = 0.01663
+At r = 0.045791:	q_mu = 5.35564	q_A  = 1.82752	CLsb = 0.00394	CLb  = 0.09596	CLs  = 0.04111
+At r = 0.042205:	q_mu = 4.82768	q_A  = 1.56172	CLsb = 0.00529	CLb  = 0.09566	CLs  = 0.05528
+At r = 0.043895:	q_mu = 5.07436	q_A  = 1.68453	CLsb = 0.00461	CLb  = 0.09579	CLs  = 0.04812
+At r = 0.043184:	q_mu = 4.97013	q_A  = 1.63232	CLsb = 0.00488	CLb  = 0.09573	CLs  = 0.05103
+At r = 0.043523:	q_mu = 5.01980	q_A  = 1.65714	CLsb = 0.00475	CLb  = 0.09576	CLs  = 0.04962
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0435
+Expected  2.5%: r < 0.0358
+Expected 16.0%: r < 0.0481
+Expected 50.0%: r < 0.0679
+Expected 84.0%: r < 0.0963
+Expected 97.5%: r < 0.1320
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_530_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_530_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..81858f7
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_530_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0649414
+Sigma  for expected limits: 0.033134
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1159.76 (r = 4.66294e-13)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1110.16 (r = 4.08504e-06)
+At r = 1.200000:	q_mu = 283.73452	q_A  = 249.46338	CLsb = 0.00000	CLb  = 0.13898	CLs  = 0.00000
+At r = 0.600000:	q_mu = 148.55383	q_A  = 123.15580	CLsb = 0.00000	CLb  = 0.12625	CLs  = 0.00000
+At r = 0.300000:	q_mu = 69.20048	q_A  = 51.07121	CLsb = 0.00000	CLb  = 0.10232	CLs  = 0.00000
+At r = 0.150000:	q_mu = 28.81604	q_A  = 17.33047	CLsb = 0.00000	CLb  = 0.08387	CLs  = 0.00000
+At r = 0.075000:	q_mu = 11.48154	q_A  = 5.00595	CLsb = 0.00011	CLb  = 0.07393	CLs  = 0.00155
+At r = 0.037500:	q_mu = 4.72991	q_A  = 1.33298	CLsb = 0.00432	CLb  = 0.07063	CLs  = 0.06122
+At r = 0.056250:	q_mu = 7.89039	q_A  = 2.90700	CLsb = 0.00077	CLb  = 0.07195	CLs  = 0.01073
+At r = 0.046875:	q_mu = 6.25161	q_A  = 2.05022	CLsb = 0.00187	CLb  = 0.07117	CLs  = 0.02630
+At r = 0.041172:	q_mu = 5.31170	q_A  = 1.59713	CLsb = 0.00313	CLb  = 0.07083	CLs  = 0.04425
+At r = 0.039332:	q_mu = 5.01762	q_A  = 1.46179	CLsb = 0.00369	CLb  = 0.07071	CLs  = 0.05213
+At r = 0.040074:	q_mu = 5.13557	q_A  = 1.51558	CLsb = 0.00345	CLb  = 0.07075	CLs  = 0.04881
+At r = 0.039708:	q_mu = 5.07730	q_A  = 1.48892	CLsb = 0.00357	CLb  = 0.07073	CLs  = 0.05042
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0397
+Expected  2.5%: r < 0.0342
+Expected 16.0%: r < 0.0462
+Expected 50.0%: r < 0.0649
+Expected 84.0%: r < 0.0926
+Expected 97.5%: r < 0.1274
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_540_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_540_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..dd9b460
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_540_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 0.0629883
+Sigma  for expected limits: 0.0321375
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -1239.31 (r = 2.25578e-10)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -1176.17 (r = 3.52923e-06)
+At r = 1.200000:	q_mu = 301.67404	q_A  = 258.04014	CLsb = 0.00000	CLb  = 0.08721	CLs  = 0.00000
+At r = 0.600000:	q_mu = 159.98470	q_A  = 128.09808	CLsb = 0.00000	CLb  = 0.07947	CLs  = 0.00000
+At r = 0.300000:	q_mu = 76.50399	q_A  = 53.64744	CLsb = 0.00000	CLb  = 0.05935	CLs  = 0.00000
+At r = 0.150000:	q_mu = 32.94684	q_A  = 18.38196	CLsb = 0.00000	CLb  = 0.04470	CLs  = 0.00000
+At r = 0.075000:	q_mu = 13.59647	q_A  = 5.34155	CLsb = 0.00002	CLb  = 0.03706	CLs  = 0.00056
+At r = 0.037500:	q_mu = 5.76783	q_A  = 1.42472	CLsb = 0.00129	CLb  = 0.03443	CLs  = 0.03757
+At r = 0.018750:	q_mu = 2.58330	q_A  = 0.37042	CLsb = 0.00762	CLb  = 0.03454	CLs  = 0.22067
+At r = 0.028125:	q_mu = 4.10567	q_A  = 0.81524	CLsb = 0.00321	CLb  = 0.03422	CLs  = 0.09395
+At r = 0.033287:	q_mu = 5.00421	q_A  = 1.13090	CLsb = 0.00196	CLb  = 0.03429	CLs  = 0.05715
+At r = 0.035203:	q_mu = 5.34835	q_A  = 1.26064	CLsb = 0.00162	CLb  = 0.03435	CLs  = 0.04729
+At r = 0.034369:	q_mu = 5.19778	q_A  = 1.20331	CLsb = 0.00176	CLb  = 0.03433	CLs  = 0.05137
+At r = 0.034754:	q_mu = 5.26711	q_A  = 1.22960	CLsb = 0.00170	CLb  = 0.03434	CLs  = 0.04945
+
+ -- Asymptotic -- 
+Observed Limit: r < 0.0348
+Expected  2.5%: r < 0.0330
+Expected 16.0%: r < 0.0447
+Expected 50.0%: r < 0.0630
+Expected 84.0%: r < 0.0894
+Expected 97.5%: r < 0.1233
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_550_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..87c582d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_550_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.676879 (0.033844 times rMax), while it should be at zero
+Median for expected limits: 16.0625
+Sigma  for expected limits: 8.1953
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0978673 (r = 2.61195)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.179176 (r = 0.687894)
+At r = 23.576533:	q_mu = 6.63403	q_A  = 8.08372	CLsb = 0.00500	CLb  = 0.60547	CLs  = 0.00826
+At r = 13.094243:	q_mu = 1.79300	q_A  = 2.57114	CLsb = 0.09028	CLb  = 0.60428	CLs  = 0.14940
+At r = 18.335388:	q_mu = 3.89109	q_A  = 5.01396	CLsb = 0.02427	CLb  = 0.60511	CLs  = 0.04011
+At r = 16.584466:	q_mu = 3.11234	q_A  = 4.12181	CLsb = 0.03885	CLb  = 0.60490	CLs  = 0.06423
+At r = 17.329494:	q_mu = 3.43462	q_A  = 4.49257	CLsb = 0.03192	CLb  = 0.60499	CLs  = 0.05276
+At r = 17.688570:	q_mu = 3.59495	q_A  = 4.67615	CLsb = 0.02898	CLb  = 0.60504	CLs  = 0.04789
+At r = 17.489099:	q_mu = 3.50548	q_A  = 4.57376	CLsb = 0.03058	CLb  = 0.60501	CLs  = 0.05055
+At r = 17.561319:	q_mu = 3.53773	q_A  = 4.61070	CLsb = 0.02999	CLb  = 0.60502	CLs  = 0.04957
+At r = 17.521528:	q_mu = 3.51993	q_A  = 4.59033	CLsb = 0.03032	CLb  = 0.60502	CLs  = 0.05011
+
+ -- Asymptotic -- 
+Observed Limit: r < 17.5215
+Expected  2.5%: r < 8.8156
+Expected 16.0%: r < 11.5898
+Expected 50.0%: r < 16.0625
+Expected 84.0%: r < 22.5291
+Expected 97.5%: r < 30.6496
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_570_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..8c09a7f
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_570_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.217878 (0.010894 times rMax), while it should be at zero
+Median for expected limits: 16.9375
+Sigma  for expected limits: 8.64174
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.3179 (r = 9.66702)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.196502 (r = 0.327943)
+At r = 34.307469:	q_mu = 7.36075	q_A  = 13.99118	CLsb = 0.00333	CLb  = 0.84789	CLs  = 0.00393
+At r = 21.987246:	q_mu = 2.04213	q_A  = 6.29372	CLsb = 0.07650	CLb  = 0.85986	CLs  = 0.08897
+At r = 28.147357:	q_mu = 4.36843	q_A  = 9.88047	CLsb = 0.01831	CLb  = 0.85389	CLs  = 0.02144
+At r = 25.214693:	q_mu = 3.16881	q_A  = 8.09937	CLsb = 0.03753	CLb  = 0.85675	CLs  = 0.04380
+At r = 24.087051:	q_mu = 2.75105	q_A  = 7.44913	CLsb = 0.04860	CLb  = 0.85784	CLs  = 0.05665
+At r = 24.750526:	q_mu = 2.99422	q_A  = 7.82963	CLsb = 0.04178	CLb  = 0.85719	CLs  = 0.04874
+At r = 24.527853:	q_mu = 2.91156	q_A  = 7.70107	CLsb = 0.04397	CLb  = 0.85741	CLs  = 0.05129
+At r = 24.661315:	q_mu = 2.96095	q_A  = 7.77799	CLsb = 0.04265	CLb  = 0.85728	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 24.6613
+Expected  2.5%: r < 9.0973
+Expected 16.0%: r < 12.1292
+Expected 50.0%: r < 16.9375
+Expected 84.0%: r < 24.0264
+Expected 97.5%: r < 32.9353
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_600_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e2fdc1d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_600_13TeV_asymptoticCLs.out
@@ -0,0 +1,42 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.093465 (0.004673 times rMax), while it should be at zero
+Median for expected limits: 14.6875
+Sigma  for expected limits: 7.49376
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.247526 (r = 3.32732e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.164158 (r = 0.122343)
+At r = 79.459005:	q_mu = 60.92950	q_A  = 60.46277	CLsb = 0.00000	CLb  = 0.48803	CLs  = 0.00000
+At r = 39.729519:	q_mu = 22.74922	q_A  = 22.04264	CLsb = 0.00000	CLb  = 0.47001	CLs  = 0.00000
+At r = 19.864776:	q_mu = 7.33392	q_A  = 6.71684	CLsb = 0.00336	CLb  = 0.45262	CLs  = 0.00742
+At r = 9.932405:	q_mu = 2.22187	q_A  = 1.81572	CLsb = 0.06704	CLb  = 0.44010	CLs  = 0.15233
+At r = 14.898590:	q_mu = 4.47675	q_A  = 3.94486	CLsb = 0.01700	CLb  = 0.44674	CLs  = 0.03805
+At r = 12.415498:	q_mu = 3.26650	q_A  = 2.79185	CLsb = 0.03492	CLb  = 0.44353	CLs  = 0.07874
+At r = 13.656088:	q_mu = 3.85141	q_A  = 3.34683	CLsb = 0.02457	CLb  = 0.44516	CLs  = 0.05520
+At r = 14.168936:	q_mu = 4.10511	q_A  = 3.58893	CLsb = 0.02114	CLb  = 0.44582	CLs  = 0.04743
+At r = 13.923510:	q_mu = 3.98279	q_A  = 3.47211	CLsb = 0.02273	CLb  = 0.44550	CLs  = 0.05102
+At r = 14.026836:	q_mu = 4.03408	q_A  = 3.52107	CLsb = 0.02205	CLb  = 0.44564	CLs  = 0.04948
+At r = 13.977911:	q_mu = 4.00976	q_A  = 3.49785	CLsb = 0.02237	CLb  = 0.44557	CLs  = 0.05020
+
+ -- Asymptotic -- 
+Observed Limit: r < 13.9779
+Expected  2.5%: r < 7.7740
+Expected 16.0%: r < 10.4476
+Expected 50.0%: r < 14.6875
+Expected 84.0%: r < 20.9518
+Expected 97.5%: r < 29.0098
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_620_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..e16a8a0
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_620_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.032860 (0.001643 times rMax), while it should be at zero
+Median for expected limits: 12.8125
+Sigma  for expected limits: 6.53711
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.0328461 (r = 2.21884)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.148222 (r = 0.0223934)
+At r = 18.850043:	q_mu = 6.12695	q_A  = 7.72669	CLsb = 0.00666	CLb  = 0.61960	CLs  = 0.01074
+At r = 10.534443:	q_mu = 1.68081	q_A  = 2.63984	CLsb = 0.09741	CLb  = 0.62866	CLs  = 0.15495
+At r = 14.692243:	q_mu = 3.61623	q_A  = 4.91789	CLsb = 0.02861	CLb  = 0.62400	CLs  = 0.04585
+At r = 12.613343:	q_mu = 2.56950	q_A  = 3.70576	CLsb = 0.05447	CLb  = 0.62630	CLs  = 0.08697
+At r = 14.051293:	q_mu = 3.27820	q_A  = 4.53006	CLsb = 0.03510	CLb  = 0.62469	CLs  = 0.05619
+At r = 14.345582:	q_mu = 3.43132	q_A  = 4.70619	CLsb = 0.03199	CLb  = 0.62438	CLs  = 0.05123
+At r = 14.475564:	q_mu = 3.50018	q_A  = 4.78514	CLsb = 0.03068	CLb  = 0.62423	CLs  = 0.04915
+At r = 14.406511:	q_mu = 3.46353	q_A  = 4.74314	CLsb = 0.03137	CLb  = 0.62431	CLs  = 0.05024
+
+ -- Asymptotic -- 
+Observed Limit: r < 14.4065
+Expected  2.5%: r < 6.7816
+Expected 16.0%: r < 9.1139
+Expected 50.0%: r < 12.8125
+Expected 84.0%: r < 18.3793
+Expected 97.5%: r < 25.5346
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_650_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ac36daf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_650_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+WARNING: Best fit of asimov dataset is at r = 0.036911 (0.001846 times rMax), while it should be at zero
+Median for expected limits: 11.2188
+Sigma  for expected limits: 5.72396
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.13525 (r = 8.38602e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.139447 (r = 0.007078)
+At r = 5.544822:	q_mu = 3.82966	q_A  = 1.00163	CLsb = 0.00790	CLb  = 0.07885	CLs  = 0.10014
+At r = 11.089643:	q_mu = 9.10509	q_A  = 3.76819	CLsb = 0.00046	CLb  = 0.08462	CLs  = 0.00540
+At r = 5.544822:	q_mu = 3.83012	q_A  = 1.00164	CLsb = 0.00789	CLb  = 0.07882	CLs  = 0.10012
+At r = 8.317232:	q_mu = 6.31446	q_A  = 2.19025	CLsb = 0.00203	CLb  = 0.08176	CLs  = 0.02484
+At r = 7.204215:	q_mu = 5.27726	q_A  = 1.66317	CLsb = 0.00356	CLb  = 0.08058	CLs  = 0.04423
+At r = 6.672977:	q_mu = 4.80059	q_A  = 1.43478	CLsb = 0.00462	CLb  = 0.08002	CLs  = 0.05778
+At r = 6.902908:	q_mu = 5.00539	q_A  = 1.53175	CLsb = 0.00413	CLb  = 0.08026	CLs  = 0.05150
+At r = 7.009992:	q_mu = 5.10155	q_A  = 1.57789	CLsb = 0.00392	CLb  = 0.08037	CLs  = 0.04880
+At r = 6.949906:	q_mu = 5.04751	q_A  = 1.55192	CLsb = 0.00404	CLb  = 0.08031	CLs  = 0.05030
+At r = 6.971368:	q_mu = 5.06679	q_A  = 1.56117	CLsb = 0.00400	CLb  = 0.08033	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.9714
+Expected  2.5%: r < 5.8942
+Expected 16.0%: r < 7.9325
+Expected 50.0%: r < 11.2188
+Expected 84.0%: r < 16.0931
+Expected 97.5%: r < 22.2176
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_670_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_670_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..32efca1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_670_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 10.5938
+Sigma  for expected limits: 5.40507
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 6.55348 (r = 7.73786e-09)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.140859 (r = 0.000895212)
+At r = 2.668819:	q_mu = 2.92081	q_A  = 0.26995	CLsb = 0.00107	CLb  = 0.00537	CLs  = 0.19890
+At r = 5.337638:	q_mu = 6.18428	q_A  = 1.04442	CLsb = 0.00020	CLb  = 0.00596	CLs  = 0.03401
+At r = 2.668819:	q_mu = 2.92081	q_A  = 0.26995	CLsb = 0.00107	CLb  = 0.00537	CLs  = 0.19890
+At r = 4.003229:	q_mu = 4.51431	q_A  = 0.59728	CLsb = 0.00047	CLb  = 0.00564	CLs  = 0.08366
+At r = 4.613778:	q_mu = 5.26881	q_A  = 0.78762	CLsb = 0.00032	CLb  = 0.00579	CLs  = 0.05566
+At r = 4.884563:	q_mu = 5.60881	q_A  = 0.88000	CLsb = 0.00027	CLb  = 0.00586	CLs  = 0.04634
+At r = 4.740494:	q_mu = 5.42752	q_A  = 0.83018	CLsb = 0.00030	CLb  = 0.00582	CLs  = 0.05109
+At r = 4.794828:	q_mu = 5.49579	q_A  = 0.84877	CLsb = 0.00029	CLb  = 0.00583	CLs  = 0.04925
+At r = 4.766054:	q_mu = 5.45962	q_A  = 0.83888	CLsb = 0.00029	CLb  = 0.00583	CLs  = 0.05022
+At r = 4.776933:	q_mu = 5.47329	q_A  = 0.84261	CLsb = 0.00029	CLb  = 0.00583	CLs  = 0.04985
+
+ -- Asymptotic -- 
+Observed Limit: r < 4.7769
+Expected  2.5%: r < 5.5659
+Expected 16.0%: r < 7.4710
+Expected 50.0%: r < 10.5938
+Expected 84.0%: r < 15.1965
+Expected 97.5%: r < 21.1128
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_700_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_700_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..6cf1469
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_700_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.90625
+Sigma  for expected limits: 5.0543
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.37286 (r = 1.62154e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.150395 (r = 1.95994e-05)
+At r = 5.271680:	q_mu = 3.15862	q_A  = 1.16982	CLsb = 0.02270	CLb  = 0.17894	CLs  = 0.12684
+At r = 10.543361:	q_mu = 8.06608	q_A  = 4.31544	CLsb = 0.00144	CLb  = 0.18333	CLs  = 0.00786
+At r = 5.271689:	q_mu = 3.15863	q_A  = 1.16982	CLsb = 0.02270	CLb  = 0.17894	CLs  = 0.12684
+At r = 7.907525:	q_mu = 5.42801	q_A  = 2.52793	CLsb = 0.00618	CLb  = 0.18088	CLs  = 0.03414
+At r = 6.767369:	q_mu = 4.39724	q_A  = 1.88395	CLsb = 0.01107	CLb  = 0.17995	CLs  = 0.06149
+At r = 7.316085:	q_mu = 4.88498	q_A  = 2.18415	CLsb = 0.00839	CLb  = 0.18042	CLs  = 0.04648
+At r = 7.091924:	q_mu = 4.68353	q_A  = 2.05897	CLsb = 0.00940	CLb  = 0.18022	CLs  = 0.05216
+At r = 7.202632:	q_mu = 4.78263	q_A  = 2.12033	CLsb = 0.00889	CLb  = 0.18031	CLs  = 0.04928
+At r = 7.158009:	q_mu = 4.74258	q_A  = 2.09548	CLsb = 0.00909	CLb  = 0.18027	CLs  = 0.05043
+At r = 7.180199:	q_mu = 4.76246	q_A  = 2.10781	CLsb = 0.00899	CLb  = 0.18029	CLs  = 0.04986
+
+ -- Asymptotic -- 
+Observed Limit: r < 7.1802
+Expected  2.5%: r < 5.1660
+Expected 16.0%: r < 6.9991
+Expected 50.0%: r < 9.9062
+Expected 84.0%: r < 14.2103
+Expected 97.5%: r < 19.7426
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_720_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_720_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..ff1328e
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_720_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 9.53125
+Sigma  for expected limits: 4.86297
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.96628 (r = 2.27446)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.158676 (r = 0.00281509)
+At r = 15.598229:	q_mu = 6.85311	q_A  = 9.33954	CLsb = 0.00442	CLb  = 0.66939	CLs  = 0.00661
+At r = 8.936344:	q_mu = 1.91004	q_A  = 3.41892	CLsb = 0.08348	CLb  = 0.67975	CLs  = 0.12281
+At r = 12.267286:	q_mu = 4.07462	q_A  = 6.10472	CLsb = 0.02177	CLb  = 0.67444	CLs  = 0.03227
+At r = 10.728145:	q_mu = 2.98984	q_A  = 4.78766	CLsb = 0.04189	CLb  = 0.67687	CLs  = 0.06189
+At r = 11.439483:	q_mu = 3.47408	q_A  = 5.38102	CLsb = 0.03117	CLb  = 0.67574	CLs  = 0.04613
+At r = 11.141124:	q_mu = 3.26762	q_A  = 5.12912	CLsb = 0.03533	CLb  = 0.67620	CLs  = 0.05225
+At r = 11.285011:	q_mu = 3.36645	q_A  = 5.24994	CLsb = 0.03327	CLb  = 0.67598	CLs  = 0.04922
+At r = 11.225778:	q_mu = 3.32559	q_A  = 5.20005	CLsb = 0.03410	CLb  = 0.67607	CLs  = 0.05045
+At r = 11.254646:	q_mu = 3.34547	q_A  = 5.22434	CLsb = 0.03370	CLb  = 0.67603	CLs  = 0.04984
+
+ -- Asymptotic -- 
+Observed Limit: r < 11.2546
+Expected  2.5%: r < 4.9704
+Expected 16.0%: r < 6.7163
+Expected 50.0%: r < 9.5312
+Expected 84.0%: r < 13.6724
+Expected 97.5%: r < 18.9953
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_750_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..4c8d809
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_750_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.96875
+Sigma  for expected limits: 4.57598
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.71563 (r = 5.27332)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.169492 (r = 0.00944538)
+At r = 18.889224:	q_mu = 7.05923	q_A  = 14.35939	CLsb = 0.00394	CLb  = 0.87128	CLs  = 0.00453
+At r = 12.081272:	q_mu = 1.98294	q_A  = 6.61555	CLsb = 0.07954	CLb  = 0.87777	CLs  = 0.09062
+At r = 15.485248:	q_mu = 4.21196	q_A  = 10.24511	CLsb = 0.02007	CLb  = 0.87462	CLs  = 0.02295
+At r = 13.941030:	q_mu = 3.11557	q_A  = 8.53056	CLsb = 0.03877	CLb  = 0.87608	CLs  = 0.04426
+At r = 13.315815:	q_mu = 2.71083	q_A  = 7.86749	CLsb = 0.04983	CLb  = 0.87666	CLs  = 0.05685
+At r = 13.572237:	q_mu = 2.87431	q_A  = 8.13740	CLsb = 0.04500	CLb  = 0.87641	CLs  = 0.05135
+At r = 13.698811:	q_mu = 2.95598	q_A  = 8.27197	CLsb = 0.04278	CLb  = 0.87632	CLs  = 0.04882
+At r = 13.625541:	q_mu = 2.90843	q_A  = 8.19394	CLsb = 0.04406	CLb  = 0.87638	CLs  = 0.05027
+
+ -- Asymptotic -- 
+Observed Limit: r < 13.6255
+Expected  2.5%: r < 4.7121
+Expected 16.0%: r < 6.3250
+Expected 50.0%: r < 8.9688
+Expected 84.0%: r < 12.8655
+Expected 97.5%: r < 17.8742
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_770_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_770_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2eec501
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_770_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.5625
+Sigma  for expected limits: 4.3687
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.49637 (r = 6.05382)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.157625 (r = 0.000477728)
+At r = 19.108166:	q_mu = 7.05540	q_A  = 15.80761	CLsb = 0.00395	CLb  = 0.90653	CLs  = 0.00436
+At r = 12.580991:	q_mu = 1.98678	q_A  = 7.72038	CLsb = 0.07934	CLb  = 0.91450	CLs  = 0.08676
+At r = 15.844578:	q_mu = 4.21380	q_A  = 11.53837	CLsb = 0.02005	CLb  = 0.91054	CLs  = 0.02202
+At r = 14.282970:	q_mu = 3.06273	q_A  = 9.64755	CLsb = 0.04005	CLb  = 0.91245	CLs  = 0.04390
+At r = 13.682389:	q_mu = 2.66074	q_A  = 8.95066	CLsb = 0.05143	CLb  = 0.91318	CLs  = 0.05632
+At r = 14.031909:	q_mu = 2.89245	q_A  = 9.35454	CLsb = 0.04450	CLb  = 0.91274	CLs  = 0.04875
+At r = 13.913005:	q_mu = 2.81257	q_A  = 9.21635	CLsb = 0.04676	CLb  = 0.91289	CLs  = 0.05123
+At r = 13.983351:	q_mu = 2.85968	q_A  = 9.29799	CLsb = 0.04541	CLb  = 0.91280	CLs  = 0.04975
+
+ -- Asymptotic -- 
+Observed Limit: r < 13.9834
+Expected  2.5%: r < 4.4987
+Expected 16.0%: r < 6.0385
+Expected 50.0%: r < 8.5625
+Expected 84.0%: r < 12.2827
+Expected 97.5%: r < 17.0646
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_800_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..0b71cce
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_800_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 8.03125
+Sigma  for expected limits: 4.09765
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.87384 (r = 3.54103)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.173959 (r = 0.00361293)
+At r = 15.439401:	q_mu = 7.08306	q_A  = 12.37403	CLsb = 0.00389	CLb  = 0.80408	CLs  = 0.00484
+At r = 9.490215:	q_mu = 1.97617	q_A  = 5.23321	CLsb = 0.07990	CLb  = 0.81107	CLs  = 0.09851
+At r = 12.464808:	q_mu = 4.21384	q_A  = 8.53838	CLsb = 0.02005	CLb  = 0.80765	CLs  = 0.02482
+At r = 11.255831:	q_mu = 3.22019	q_A  = 7.12345	CLsb = 0.03637	CLb  = 0.80907	CLs  = 0.04495
+At r = 10.711016:	q_mu = 2.80899	q_A  = 6.51681	CLsb = 0.04687	CLb  = 0.80970	CLs  = 0.05788
+At r = 10.963356:	q_mu = 2.99687	q_A  = 6.79559	CLsb = 0.04171	CLb  = 0.80940	CLs  = 0.05154
+At r = 11.073615:	q_mu = 3.08004	q_A  = 6.91893	CLsb = 0.03963	CLb  = 0.80932	CLs  = 0.04897
+At r = 11.015529:	q_mu = 3.03594	q_A  = 6.85381	CLsb = 0.04072	CLb  = 0.80937	CLs  = 0.05031
+At r = 11.037761:	q_mu = 3.05278	q_A  = 6.87868	CLsb = 0.04030	CLb  = 0.80935	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 11.0378
+Expected  2.5%: r < 4.2195
+Expected 16.0%: r < 5.6638
+Expected 50.0%: r < 8.0312
+Expected 84.0%: r < 11.5207
+Expected 97.5%: r < 15.9050
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_820_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_820_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..952f70d
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_820_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.59375
+Sigma  for expected limits: 3.87443
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.90507 (r = 0.822466)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.190281 (r = 0.00085352)
+At r = 12.960312:	q_mu = 8.48282	q_A  = 10.03026	CLsb = 0.00179	CLb  = 0.60046	CLs  = 0.00299
+At r = 6.891389:	q_mu = 2.38010	q_A  = 3.20651	CLsb = 0.06144	CLb  = 0.59790	CLs  = 0.10277
+At r = 9.925851:	q_mu = 5.06323	q_A  = 6.26063	CLsb = 0.01222	CLb  = 0.59947	CLs  = 0.02038
+At r = 8.579381:	q_mu = 3.77086	q_A  = 4.80595	CLsb = 0.02608	CLb  = 0.59885	CLs  = 0.04354
+At r = 8.024366:	q_mu = 3.28403	q_A  = 4.25110	CLsb = 0.03498	CLb  = 0.59856	CLs  = 0.05844
+At r = 8.259716:	q_mu = 3.48738	q_A  = 4.48334	CLsb = 0.03092	CLb  = 0.59868	CLs  = 0.05165
+At r = 8.372175:	q_mu = 3.58586	q_A  = 4.59626	CLsb = 0.02914	CLb  = 0.59880	CLs  = 0.04866
+At r = 8.308605:	q_mu = 3.52988	q_A  = 4.53225	CLsb = 0.03014	CLb  = 0.59875	CLs  = 0.05033
+At r = 8.331263:	q_mu = 3.54978	q_A  = 4.55464	CLsb = 0.02978	CLb  = 0.59873	CLs  = 0.04973
+
+ -- Asymptotic -- 
+Observed Limit: r < 8.3313
+Expected  2.5%: r < 3.9749
+Expected 16.0%: r < 5.3743
+Expected 50.0%: r < 7.5938
+Expected 84.0%: r < 10.8931
+Expected 97.5%: r < 15.1339
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_840_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_840_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..3853765
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_840_13TeV_asymptoticCLs.out
@@ -0,0 +1,41 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 7.21875
+Sigma  for expected limits: 3.6831
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.68322 (r = 1.52936e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.205901 (r = 2.23069e-05)
+At r = 41.062590:	q_mu = 64.23709	q_A  = 62.44540	CLsb = 0.00000	CLb  = 0.45487	CLs  = 0.00000
+At r = 20.531296:	q_mu = 24.62647	q_A  = 23.26193	CLsb = 0.00000	CLb  = 0.44375	CLs  = 0.00000
+At r = 10.265649:	q_mu = 8.17041	q_A  = 7.28403	CLsb = 0.00210	CLb  = 0.43478	CLs  = 0.00482
+At r = 5.132825:	q_mu = 2.53782	q_A  = 2.03141	CLsb = 0.05447	CLb  = 0.42950	CLs  = 0.12683
+At r = 7.699237:	q_mu = 5.04213	q_A  = 4.33081	CLsb = 0.01216	CLb  = 0.43215	CLs  = 0.02814
+At r = 6.402239:	q_mu = 3.68953	q_A  = 3.07782	CLsb = 0.02688	CLb  = 0.43080	CLs  = 0.06240
+At r = 6.950389:	q_mu = 4.24058	q_A  = 3.58581	CLsb = 0.01939	CLb  = 0.43137	CLs  = 0.04495
+At r = 6.698442:	q_mu = 3.98381	q_A  = 3.34865	CLsb = 0.02256	CLb  = 0.43111	CLs  = 0.05234
+At r = 6.809342:	q_mu = 4.09594	q_A  = 3.45211	CLsb = 0.02112	CLb  = 0.43122	CLs  = 0.04897
+At r = 6.759304:	q_mu = 4.04516	q_A  = 3.40524	CLsb = 0.02176	CLb  = 0.43117	CLs  = 0.05046
+At r = 6.781559:	q_mu = 4.06770	q_A  = 3.42605	CLsb = 0.02147	CLb  = 0.43120	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.7816
+Expected  2.5%: r < 3.7645
+Expected 16.0%: r < 5.1003
+Expected 50.0%: r < 7.2188
+Expected 84.0%: r < 10.3551
+Expected 97.5%: r < 14.3866
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_860_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_860_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..3bb61de
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_860_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.90625
+Sigma  for expected limits: 3.52366
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.55 (r = 1.38844e-05)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.22096 (r = 3.84225e-05)
+At r = 10.895350:	q_mu = 10.72975	q_A  = 8.73884	CLsb = 0.00050	CLb  = 0.36816	CLs  = 0.00135
+At r = 5.447682:	q_mu = 3.60806	q_A  = 2.47373	CLsb = 0.02659	CLb  = 0.35920	CLs  = 0.07403
+At r = 8.171516:	q_mu = 6.83027	q_A  = 5.23605	CLsb = 0.00419	CLb  = 0.36379	CLs  = 0.01151
+At r = 6.809599:	q_mu = 5.12287	q_A  = 3.75014	CLsb = 0.01098	CLb  = 0.36151	CLs  = 0.03038
+At r = 6.200170:	q_mu = 4.41973	q_A  = 3.15152	CLsb = 0.01649	CLb  = 0.36048	CLs  = 0.04573
+At r = 5.938170:	q_mu = 4.13018	q_A  = 2.90800	CLsb = 0.01953	CLb  = 0.36004	CLs  = 0.05423
+At r = 6.090478:	q_mu = 4.29749	q_A  = 3.04847	CLsb = 0.01770	CLb  = 0.36029	CLs  = 0.04914
+At r = 6.038521:	q_mu = 4.24009	q_A  = 3.00020	CLsb = 0.01831	CLb  = 0.36020	CLs  = 0.05083
+At r = 6.069072:	q_mu = 4.27380	q_A  = 3.02854	CLsb = 0.01795	CLb  = 0.36025	CLs  = 0.04983
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.0691
+Expected  2.5%: r < 3.6015
+Expected 16.0%: r < 4.8795
+Expected 50.0%: r < 6.9062
+Expected 84.0%: r < 9.9069
+Expected 97.5%: r < 13.7638
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_880_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_880_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2c818d8
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_880_13TeV_asymptoticCLs.out
@@ -0,0 +1,40 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.53125
+Sigma  for expected limits: 3.33233
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.54841 (r = 4.17385e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.24256 (r = 4.52721e-06)
+At r = 12.669265:	q_mu = 14.48470	q_A  = 12.34968	CLsb = 0.00007	CLb  = 0.38065	CLs  = 0.00018
+At r = 6.334635:	q_mu = 4.82908	q_A  = 3.62033	CLsb = 0.01320	CLb  = 0.37538	CLs  = 0.03516
+At r = 3.167319:	q_mu = 1.61558	q_A  = 0.97640	CLsb = 0.09483	CLb  = 0.37319	CLs  = 0.25412
+At r = 4.750977:	q_mu = 3.04905	q_A  = 2.11579	CLsb = 0.03792	CLb  = 0.37418	CLs  = 0.10134
+At r = 5.596407:	q_mu = 3.95947	q_A  = 2.87682	CLsb = 0.02194	CLb  = 0.37480	CLs  = 0.05853
+At r = 5.926586:	q_mu = 4.34056	q_A  = 3.20102	CLsb = 0.01753	CLb  = 0.37507	CLs  = 0.04675
+At r = 5.781487:	q_mu = 4.17130	q_A  = 3.05665	CLsb = 0.01936	CLb  = 0.37495	CLs  = 0.05164
+At r = 5.848124:	q_mu = 4.24867	q_A  = 3.12258	CLsb = 0.01850	CLb  = 0.37500	CLs  = 0.04934
+At r = 5.819230:	q_mu = 4.21505	q_A  = 3.09392	CLsb = 0.01887	CLb  = 0.37498	CLs  = 0.05033
+At r = 5.832583:	q_mu = 4.23057	q_A  = 3.10714	CLsb = 0.01870	CLb  = 0.37499	CLs  = 0.04987
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.8326
+Expected  2.5%: r < 3.4187
+Expected 16.0%: r < 4.6224
+Expected 50.0%: r < 6.5312
+Expected 84.0%: r < 9.4210
+Expected 97.5%: r < 13.1319
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_900_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..a3f0522
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_900_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.40625
+Sigma  for expected limits: 3.26856
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.48272 (r = 1.43736e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.250818 (r = 1.55245e-06)
+At r = 10.357689:	q_mu = 11.43257	q_A  = 9.02530	CLsb = 0.00033	CLb  = 0.34434	CLs  = 0.00096
+At r = 5.178845:	q_mu = 3.88106	q_A  = 2.56960	CLsb = 0.02211	CLb  = 0.34125	CLs  = 0.06478
+At r = 7.768267:	q_mu = 7.31134	q_A  = 5.42290	CLsb = 0.00313	CLb  = 0.34257	CLs  = 0.00913
+At r = 6.473556:	q_mu = 5.49697	q_A  = 3.88966	CLsb = 0.00866	CLb  = 0.34182	CLs  = 0.02534
+At r = 5.723640:	q_mu = 4.53503	q_A  = 3.09729	CLsb = 0.01506	CLb  = 0.34147	CLs  = 0.04412
+At r = 5.472696:	q_mu = 4.22912	q_A  = 2.84924	CLsb = 0.01801	CLb  = 0.34137	CLs  = 0.05276
+At r = 5.583154:	q_mu = 4.36271	q_A  = 2.95730	CLsb = 0.01666	CLb  = 0.34141	CLs  = 0.04879
+At r = 5.533310:	q_mu = 4.30222	q_A  = 2.90831	CLsb = 0.01726	CLb  = 0.34139	CLs  = 0.05054
+At r = 5.555472:	q_mu = 4.32907	q_A  = 2.93005	CLsb = 0.01699	CLb  = 0.34140	CLs  = 0.04976
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.5555
+Expected  2.5%: r < 3.3658
+Expected 16.0%: r < 4.5416
+Expected 50.0%: r < 6.4062
+Expected 84.0%: r < 9.2407
+Expected 97.5%: r < 12.8806
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_920_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_920_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..2a111c1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_920_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 6.10938
+Sigma  for expected limits: 3.11709
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: 7.36944 (r = 2.39866e-06)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.275525 (r = 0.000533625)
+At r = 7.680703:	q_mu = 8.15052	q_A  = 5.83501	CLsb = 0.00190	CLb  = 0.31587	CLs  = 0.00600
+At r = 3.840353:	q_mu = 2.91062	q_A  = 1.62117	CLsb = 0.03757	CLb  = 0.30630	CLs  = 0.12266
+At r = 5.760528:	q_mu = 5.29586	q_A  = 3.46264	CLsb = 0.00930	CLb  = 0.31115	CLs  = 0.02989
+At r = 4.816771:	q_mu = 4.05830	q_A  = 2.48426	CLsb = 0.01897	CLb  = 0.30877	CLs  = 0.06144
+At r = 5.221439:	q_mu = 4.57461	q_A  = 2.88759	CLsb = 0.01406	CLb  = 0.30981	CLs  = 0.04537
+At r = 5.036822:	q_mu = 4.33617	q_A  = 2.70033	CLsb = 0.01614	CLb  = 0.30933	CLs  = 0.05217
+At r = 5.118647:	q_mu = 4.44125	q_A  = 2.78265	CLsb = 0.01518	CLb  = 0.30954	CLs  = 0.04905
+At r = 5.081907:	q_mu = 4.39395	q_A  = 2.74556	CLsb = 0.01561	CLb  = 0.30945	CLs  = 0.05043
+At r = 5.098309:	q_mu = 4.41504	q_A  = 2.76209	CLsb = 0.01542	CLb  = 0.30949	CLs  = 0.04981
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.0983
+Expected  2.5%: r < 3.1859
+Expected 16.0%: r < 4.2937
+Expected 50.0%: r < 6.1094
+Expected 84.0%: r < 8.8125
+Expected 97.5%: r < 12.2837
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_940_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_940_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..b23cbbf
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_940_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.95312
+Sigma  for expected limits: 3.03736
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.551612 (r = 3.56507e-08)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.292808 (r = 0.000622116)
+At r = 10.391315:	q_mu = 12.31834	q_A  = 10.26497	CLsb = 0.00021	CLb  = 0.37431	CLs  = 0.00057
+At r = 5.195658:	q_mu = 4.20774	q_A  = 3.00083	CLsb = 0.01873	CLb  = 0.36379	CLs  = 0.05149
+At r = 7.793487:	q_mu = 7.91167	q_A  = 6.24406	CLsb = 0.00231	CLb  = 0.36931	CLs  = 0.00625
+At r = 6.494572:	q_mu = 5.95710	q_A  = 4.50943	CLsb = 0.00686	CLb  = 0.36660	CLs  = 0.01872
+At r = 5.485691:	q_mu = 4.57884	q_A  = 3.31626	CLsb = 0.01509	CLb  = 0.36442	CLs  = 0.04141
+At r = 5.285018:	q_mu = 4.32086	q_A  = 3.09668	CLsb = 0.01753	CLb  = 0.36398	CLs  = 0.04817
+At r = 5.245112:	q_mu = 4.27023	q_A  = 3.05375	CLsb = 0.01806	CLb  = 0.36390	CLs  = 0.04963
+At r = 5.227273:	q_mu = 4.24767	q_A  = 3.03464	CLsb = 0.01830	CLb  = 0.36386	CLs  = 0.05030
+
+ -- Asymptotic -- 
+Observed Limit: r < 5.2273
+Expected  2.5%: r < 3.0812
+Expected 16.0%: r < 4.1694
+Expected 50.0%: r < 5.9531
+Expected 84.0%: r < 8.5871
+Expected 97.5%: r < 12.0439
+
+Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_960_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_960_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..7c515a1
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_960_13TeV_asymptoticCLs.out
@@ -0,0 +1,39 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.82812
+Sigma  for expected limits: 2.97359
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.204404 (r = 0.491632)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.310173 (r = 0.00238276)
+At r = 9.144900:	q_mu = 7.70409	q_A  = 8.48835	CLsb = 0.00275	CLb  = 0.55482	CLs  = 0.00497
+At r = 4.818266:	q_mu = 2.19876	q_A  = 2.69649	CLsb = 0.06906	CLb  = 0.56328	CLs  = 0.12261
+At r = 6.981583:	q_mu = 4.63367	q_A  = 5.29253	CLsb = 0.01568	CLb  = 0.55881	CLs  = 0.02805
+At r = 5.870720:	q_mu = 3.29329	q_A  = 3.87446	CLsb = 0.03478	CLb  = 0.56105	CLs  = 0.06199
+At r = 6.333853:	q_mu = 3.83026	q_A  = 4.44504	CLsb = 0.02517	CLb  = 0.56010	CLs  = 0.04493
+At r = 6.118248:	q_mu = 3.57626	q_A  = 4.17561	CLsb = 0.02931	CLb  = 0.56054	CLs  = 0.05228
+At r = 6.212178:	q_mu = 3.68606	q_A  = 4.29218	CLsb = 0.02743	CLb  = 0.56035	CLs  = 0.04896
+At r = 6.169325:	q_mu = 3.63580	q_A  = 4.23883	CLsb = 0.02827	CLb  = 0.56043	CLs  = 0.05045
+At r = 6.188168:	q_mu = 3.65786	q_A  = 4.26226	CLsb = 0.02790	CLb  = 0.56039	CLs  = 0.04979
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.1882
+Expected  2.5%: r < 3.0393
+Expected 16.0%: r < 4.0960
+Expected 50.0%: r < 5.8281
+Expected 84.0%: r < 8.4532
+Expected 97.5%: r < 11.8206
+
+Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_980_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_980_13TeV_asymptoticCLs.out
new file mode 100644
index 0000000..60d6896
--- /dev/null
+++ b/PreselectedWithRegressionDeepCSV/log_spin2/CMS_HH4b_980_13TeV_asymptoticCLs.out
@@ -0,0 +1,38 @@
+>>> including systematics
+>>> method used to compute upper limit is Asymptotic
+>>> random number generator seed is 123456
+[?1034hComputing limit starting from observation
+Will compute both limit(s) using minimizer Minuit2 with strategy 0 and tolerance 0.01
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Median for expected limits: 5.8125
+Sigma  for expected limits: 2.96562
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Constraints of type RooGaussian: 4
+Constraints of type SimpleGaussianConstraint: 6
+Restricting r to positive values.
+
+Make global fit of real data
+NLL at global minimum of data: -0.169059 (r = 0.768863)
+
+Make global fit of asimov data
+NLL at global minimum of asimov: -0.323341 (r = 0.00286036)
+At r = 8.000155:	q_mu = 5.64868	q_A  = 6.80562	CLsb = 0.00873	CLb  = 0.59176	CLs  = 0.01476
+At r = 4.384509:	q_mu = 1.57402	q_A  = 2.28292	CLsb = 0.10481	CLb  = 0.60115	CLs  = 0.17435
+At r = 6.192332:	q_mu = 3.35784	q_A  = 4.31065	CLsb = 0.03344	CLb  = 0.59630	CLs  = 0.05608
+At r = 7.096244:	q_mu = 4.44653	q_A  = 5.50599	CLsb = 0.01749	CLb  = 0.59398	CLs  = 0.02944
+At r = 6.501949:	q_mu = 3.71717	q_A  = 4.70760	CLsb = 0.02693	CLb  = 0.59550	CLs  = 0.04522
+At r = 6.324421:	q_mu = 3.50936	q_A  = 4.47837	CLsb = 0.03051	CLb  = 0.59595	CLs  = 0.05120
+At r = 6.387004:	q_mu = 3.58206	q_A  = 4.55867	CLsb = 0.02920	CLb  = 0.59579	CLs  = 0.04902
+At r = 6.351638:	q_mu = 3.54089	q_A  = 4.51321	CLsb = 0.02994	CLb  = 0.59588	CLs  = 0.05024
+
+ -- Asymptotic -- 
+Observed Limit: r < 6.3516
+Expected  2.5%: r < 3.0311
+Expected 16.0%: r < 4.0850
+Expected 50.0%: r < 5.8125
+Expected 84.0%: r < 8.3842
+Expected 97.5%: r < 11.7594
+
+Done in 0.00 min (cpu), 0.00 min (real)

From cd1399012b7c6f586a5a11b9d84733ea27645cde Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Tue, 26 Sep 2017 14:59:30 -0500
Subject: [PATCH 04/11] New files

---
 InterpolateSignal_bias.C | 941 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 941 insertions(+)
 create mode 100644 InterpolateSignal_bias.C

diff --git a/InterpolateSignal_bias.C b/InterpolateSignal_bias.C
new file mode 100644
index 0000000..19bc54f
--- /dev/null
+++ b/InterpolateSignal_bias.C
@@ -0,0 +1,941 @@
+/* ************************************
+ *  *                Library             *
+ *   **************************************/
+
+#include <stdio.h>
+#include <cstdio>
+#include <stdlib.h>
+#include <unistd.h>
+#include <iostream>
+#include <fstream>
+#include <sstream>
+#include <string>
+#include <vector>
+#include <cmath>
+#include <ctime>
+#include <algorithm>
+#include "TArrow.h"
+#include "TAxis.h"
+#include "TCanvas.h"
+#include "TChain.h"
+#include "TColor.h"
+#include "TF1.h"
+#include "TFile.h"
+#include "TFitResult.h"
+#include "TFractionFitter.h"
+#include "TFrame.h"
+#include "TGraphErrors.h"
+#include "TH1.h"
+#include "TH2.h"
+#include "TH3.h"
+#include "TH1F.h"
+#include "THStack.h"
+#include "TLatex.h"
+#include "TLegend.h"
+#include "TLine.h"
+#include "TLorentzVector.h"
+#include "TMinuit.h"
+#include "TMath.h"
+#include "TMatrixDSym.h"
+#include "TPaveText.h"
+#include "TPaveText.h"
+#include "TProfile.h"
+#include "TRandom3.h"
+#include "TROOT.h"
+#include "TStyle.h"
+#include "TSystem.h"
+#include "TTree.h"
+#include "TTreeReader.h"
+#include "TTreeReaderArray.h"
+#include "TTreeReaderValue.h"
+#include "TView.h"
+#ifndef __CINT__
+#include "RooGlobalFunc.h"
+#endif
+#include "RooAbsPdf.h"
+#include "RooAddPdf.h"
+#include "RooArgList.h"
+#include "RooCBShape.h"
+#include "RooChebychev.h"
+#include "RooConstVar.h"
+#include "RooDataHist.h"
+#include "RooDataSet.h"
+#include "RooFitResult.h"
+#include "RooGaussian.h"
+#include "RooIntegralMorph.h"
+#include "RooNLLVar.h"
+#include "RooPolynomial.h"
+#include "RooRealVar.h"
+#include "RooPlot.h"
+#include "RooWorkspace.h"
+#include "../../../PDFs/ExpGaussExp.h"
+
+using namespace RooFit ;
+
+/*************************************
+ **      Function Declaration        *
+ *************************************/
+Double_t straight_line(Double_t *x, Double_t *par);
+Double_t pol_line(Double_t *x, Double_t *par);
+void PrintArray(Double_t *v, Int_t dim, Int_t precision);
+std::string itoa(int i);
+void interpolation_normalization(bool, std::string, std::string, int);
+bool flag_crystal = 1; //1 for CrystalBall 0 for ExpGaussExp
+const int NumOfSyst=5;
+
+void InterpolateSignal_bias(std::string function, std::string name_range, int range, bool flag_MMR) {
+    gSystem->Load("../../../PDFs/ExpGaussExp_cxx.so");
+    interpolation_normalization(flag_MMR, function, name_range, range);
+
+    // I m p o r t   p d f   s h a p e s
+    // ------------------------------------------------------
+    
+    // Observable
+    RooRealVar *X;
+    if(flag_MMR){
+        X= new RooRealVar("x","x",400,1400);
+    }
+    else{
+        if (range==1){X= new RooRealVar("x","x",230,400);}
+        else{X= new RooRealVar("x","x",250,700);}
+    }
+    
+    std::string dir, background=function+"_"+name_range;
+    double step = 10;
+    std::vector<double> masses;
+    std::vector<double> biases;    
+    if (flag_MMR) {
+        dir = "MMR";
+        std::vector<double> masses_temp;
+        std::vector<double> biases_temp;        
+        if (range==1){
+            masses_temp= {550, 600, 650, 750, 800, 900, 1000, 1200};
+            biases_temp= {0.170,0.053,-0.062,-0.190,-0.119,-0.033,0.061,0.094};
+        }
+        else{
+            masses_temp= {550, 600, 650, 750, 800, 900, 1000, 1200};
+            biases_temp= {0.170,0.053,-0.062,-0.190,-0.119,-0.033,0.061,0.094};
+        }
+        for (unsigned int i = 0 ; i< masses_temp.size(); i++) {
+            masses.push_back(masses_temp[i]);
+            biases.push_back(biases_temp[i]);            
+        }
+    }
+    else{
+        dir = "LMR";
+        std::vector<double> masses_temp;
+        std::vector<double> biases_temp;        
+        if (range==1){
+            masses_temp= {260, 270, 300, 350};
+            biases_temp= {-0.033,-0.071,-0.049,0.};            
+        }
+        else{
+            masses_temp= {270, 300, 350, 400, 450, 500, 550, 600, 650};
+            biases_temp= {0., 0.038,0.005, 0.0001,-0.003,-0.002,-0.003,0.002, 0.};            
+        }
+        for (unsigned int i = 0 ; i< masses_temp.size(); i++) {
+            masses.push_back(masses_temp[i]);
+            biases.push_back(biases_temp[i]);
+        }
+        
+    }
+    const unsigned int nMCpoints=masses.size();
+
+    
+    TFile *f[nMCpoints];   
+    RooWorkspace* xf[nMCpoints];    
+    RooAbsPdf* PDF_mass[nMCpoints];
+    
+    for (unsigned int i = 0; i<nMCpoints; i++ ) {
+        TString name = Form("%s_%d_%s/w_signal_%d.root", dir.c_str(), int(masses[i]), background.c_str(), int(masses[i]));
+        if (!gSystem->AccessPathName(name)) {
+            f[i] = new TFile(name);
+            xf[i] = (RooWorkspace*)f[i]->Get("HbbHbb");
+            xf[i]->Print();
+            PDF_mass[i] = xf[i]->pdf("signal_fixed");
+            PDF_mass[i]->Print("t");
+        } else {
+            std::cout<<"File is not found: "<<name<<std::endl;
+            return;
+        }
+    }
+
+    RooWorkspace* w_test= new RooWorkspace("w_test");
+    for (unsigned int i = 0; i!=nMCpoints; ++i ) {
+        RooWorkspace w("w");
+        TString name = Form("mass_%d",int(masses[i]));
+        cout<<"test_1" << endl;
+        PDF_mass[i]->Print();
+        cout<<"test_2" << endl;
+        w.import(*PDF_mass[i],RooFit::RenameConflictNodes(name),RooFit::RenameAllVariablesExcept(name,"x"),RooFit::RenameVariable("signal_fixed","signal_fixed_"+name), RooFit::RenameVariable("signalCore_fixed","signalCore_fixed_"+name), RooFit::RenameVariable("signalComb_fixed","signalComb_fixed_"+name) );
+        cout<<"test_3" << endl;
+        w.Print();
+        cout<<"test_4" << endl;
+        PDF_mass[i]->Print();
+        cout<<"test_5" << endl;
+        PDF_mass[i] = w.pdf("signal_fixed_"+name);
+        cout<<"test_6" << endl;
+        PDF_mass[i]->Print();
+        cout<<"test_7" << endl;
+        w_test= new RooWorkspace("w_test");
+        w_test->import(*PDF_mass[i]);
+        w_test->Print();
+        PDF_mass[i] = w_test->pdf("signal_fixed_"+name);
+        w_test->Print();
+        cout<<"test_8" << endl;
+        if (i!=0)PDF_mass[i-1]->Print();
+    }
+    cout<<"test_9" << endl;
+    w_test->Print();
+
+ 
+    for (unsigned int i = 0; i!=nMCpoints; ++i ) {
+        cout<<"test_10" << endl;
+        PDF_mass[i]->Print("t");
+    } 
+
+    // C r e a t e   i n t e r p o l a t i n g   p d f
+    // -----------------------------------------------
+    
+    // Create interpolation variable
+    RooRealVar alpha("alpha","alpha",0,1.0) ;
+    
+    // Specify sampling density on observable and interpolation variable
+    X->setBins(10000,"cache") ;
+    alpha.setBins(2200,"cache") ;
+    
+    TCanvas* c[nMCpoints];
+    TCanvas* c_tot;
+    TSpline3* s_bias;
+    RooPlot* frame1[nMCpoints];
+    RooPlot* frame_tot;
+    frame_tot = X->frame();
+    s_bias = new TSpline3(Form("Spline_bias_%d_%d",flag_MMR,range), &(masses[0]), &(biases[0]), nMCpoints, "b2e2", 0, 0);
+    
+    for (unsigned int iPoint = 0; iPoint<nMCpoints-1; iPoint++) {
+        
+        RooIntegralMorph lmorph("lmorph","lmorph",*PDF_mass[iPoint+1],*PDF_mass[iPoint],*X,alpha) ;
+        if (masses[iPoint]<300){
+            step=5;
+        }
+        else{
+            step=10;
+        }
+        
+        frame1[iPoint] = X->frame() ;
+        PDF_mass[iPoint]->plotOn(frame1[iPoint]) ;
+        PDF_mass[iPoint+1]->plotOn(frame1[iPoint]) ;
+        PDF_mass[iPoint]->plotOn(frame_tot,LineColor(kRed)) ;
+        PDF_mass[iPoint+1]->plotOn(frame_tot, LineColor(kRed)) ;
+        cout<< " Interpolate from " << masses[iPoint] << " to " << masses[iPoint+1] << endl;
+
+        int nPoints = int((masses[iPoint+1]-masses[iPoint])/step);
+
+        for (int i=0; i<=nPoints; i++) {
+            if (std::find(masses.begin(), masses.end(), int(masses[iPoint]+i*step)) != masses.end()){continue; }            
+            alpha.setVal(double(i)/double(nPoints)) ;
+            cout<< " Interpolate mass : " << int(masses[iPoint]+i*step) << endl;
+            lmorph.plotOn(frame1[iPoint],LineColor(kBlue)) ;
+            lmorph.plotOn(frame_tot,LineColor(kBlue), LineWidth(1)) ;
+            
+            TH1D* hist;
+            if(flag_MMR){
+                hist= (TH1D*)lmorph.createHistogram("m_X (GeV)",*X,Binning(1000,400,1400));
+            }
+            else{
+                hist= (TH1D*)lmorph.createHistogram("m_X (GeV)",*X,Binning(1000,0,1000));
+            }
+            
+            TCanvas* c_temp = new TCanvas(Form("linearmorph_%d",iPoint),Form("linearmorph_%d",iPoint),700,700) ;
+            hist->Draw();
+            c_temp->SaveAs(Form("%s_%d_%s/c_mX_SR_KinFit_%d.png", dir.c_str(), int(masses[iPoint]+i*step), background.c_str(), int(masses[iPoint]+i*step)));
+            delete c_temp;
+            
+            RooRealVar *x, *sg_p0, *sg_p1, *sg_p2, *sg_p3,*sg_p4;
+            double m=masses[iPoint]+i*step;
+            double bias = s_bias->Eval(m);
+            cout<<"This is the RooWorkspace bias: "<<bias<<endl;
+            if (flag_MMR) {
+                double rangeHi = 1.1584*m -5.84;
+                double rangeLo = 0.72*m + 98;
+                double sg_p1_up; 
+                if (rangeLo<250) rangeLo=250;
+                if (m<600){sg_p1_up=10;} else{sg_p1_up=25;} 
+                sg_p0=new RooRealVar("sg_p0", "sg_p0", 0.90208*m+47.792, 1.09712*m-32.712);
+                sg_p1=new RooRealVar("sg_p1", "sg_p1", 5.,sg_p1_up);
+                sg_p2=new RooRealVar("sg_p2", "sg_p2", 0.,5.);
+                sg_p3=new RooRealVar("sg_p3", "sg_p3", 0.,7.);
+                x=new RooRealVar("x", "m_{X} (GeV)", rangeLo-100., rangeHi+100.);
+                ExpGaussExp signal("signal", "Signal Prediction", *x, *sg_p0, *sg_p1, *sg_p2, *sg_p3);
+                RooDataHist signalHistogram("signalHistogram", "Signal Histogram", RooArgList(*x), hist);
+                signal.fitTo(signalHistogram, RooFit::Range(rangeLo, rangeHi), RooFit::Save());
+                
+                RooRealVar signal_p0("signal_p0", "signal_p0", sg_p0->getVal());
+                RooRealVar signal_p1("signal_p1", "signal_p1", sg_p1->getVal());
+                RooRealVar signal_p2("signal_p2", "signal_p2", sg_p2->getVal());
+                RooRealVar signal_p3("signal_p3", "signal_p3", sg_p3->getVal());
+                ExpGaussExp signal_fixed("signal_fixed", "Signal Prediction Fixed", *x, signal_p0, signal_p1, signal_p2, signal_p3);
+                RooRealVar signal_p0_1("signal_p0_1", "signal_p0_1", sg_p0->getVal());
+                RooRealVar signal_p1_1("signal_p1_1", "signal_p1_1", sg_p1->getVal());
+                RooRealVar signal_p2_1("signal_p2_1", "signal_p2_1", sg_p2->getVal());
+                RooRealVar signal_p3_1("signal_p3_1", "signal_p3_1", sg_p3->getVal());
+                ExpGaussExp signal_bkg("signal_bkg", "Signal-as-background Prediction Fixed", *x, signal_p0_1, signal_p1_1, signal_p2_1, signal_p3_1);
+                RooRealVar *signal_bkg_norm= new RooRealVar("signal_bkg_norm","signal_bkg_norm", 0., -abs(bias), abs(bias),"");
+
+                RooWorkspace *w=new RooWorkspace("HbbHbb");                
+                w->import(signal_fixed);
+                w->import(signal_bkg);
+                w->import(*signal_bkg_norm); 
+                w->SaveAs(Form("%s_%d_%s/w_signal_%d.root", dir.c_str(), int(masses[iPoint]+i*step), background.c_str(), int(masses[iPoint]+i*step)));
+            }
+            else{
+                double rangeHi = 1.1*m + 50;
+                double rangeLo = m/3. + 160;
+                if (rangeLo<250) rangeLo=250;
+                sg_p0=new RooRealVar("sg_p0", "sg_p0", 0.94*m, 1.1*m);
+                sg_p1=new RooRealVar("sg_p1", "sg_p1", 2., 0.1*m-20.);
+                double mu_min = 1.6*m-440.; if (mu_min<0) mu_min=10.;
+                sg_p2=new RooRealVar("sg_p2", "sg_p2", mu_min, 0.95*m+100.);
+                double sigma_max;
+                if (m<300) {sigma_max=300.;}else{ sigma_max = 150.;}
+                sg_p3=new RooRealVar("sg_p3", "sg_p3", 10.,sigma_max);
+                sg_p4=new RooRealVar("sg_p4", "sg_p4", 0., 1.);
+
+                x=new RooRealVar("x", "m_{X} (GeV)", rangeLo, rangeHi);
+                RooGaussian signalCore("signalCore", "Signal Prediction", *x, *sg_p0, *sg_p1);
+                RooGaussian signalComb("signalComb", "Combinatoric", *x, *sg_p2, *sg_p3);
+                RooAddPdf signal("signal", "signal", RooArgList(signalCore, signalComb), *sg_p4);
+                RooDataHist signalHistogram("signalHistogram", "Signal Histogram", RooArgList(*x), hist);
+                signal.fitTo(signalHistogram, RooFit::Range(rangeLo-50, rangeHi), RooFit::Save());
+
+                RooRealVar signal_p0("signal_p0", "signal_p0", sg_p0->getVal());
+                RooRealVar signal_p1("signal_p1", "signal_p1", sg_p1->getVal());
+                RooRealVar signal_p2("signal_p2", "signal_p2", sg_p2->getVal());
+                RooRealVar signal_p3("signal_p3", "signal_p3", sg_p3->getVal());
+                RooRealVar signal_p4("signal_p4", "signal_p4", sg_p4->getVal());
+                RooGaussian signalCore_fixed("signalCore_fixed", "Signal Prediction", *x, signal_p0, signal_p1);
+                RooGaussian signalComb_fixed("signalComb_fixed", "Combinatoric", *x, signal_p2, signal_p3);
+                RooAddPdf signal_fixed("signal_fixed", "signal", RooArgList(signalCore_fixed, signalComb_fixed), signal_p4);
+                RooRealVar signal_p0_1("signal_p0_1", "signal_p0_1", sg_p0->getVal());
+                RooRealVar signal_p1_1("signal_p1_1", "signal_p1_1", sg_p1->getVal());
+                RooRealVar signal_p2_1("signal_p2_1", "signal_p2_1", sg_p2->getVal());
+                RooRealVar signal_p3_1("signal_p3_1", "signal_p3_1", sg_p3->getVal());
+                RooRealVar signal_p4_1("signal_p4_1", "signal_p4_1", sg_p4->getVal());
+                RooGaussian signalCore_fixed_1("signalCore_fixed_1", "Signal Prediction_1", *x, signal_p0_1, signal_p1_1);
+                RooGaussian signalComb_fixed_1("signalComb_fixed_1", "Combinatoric_1", *x, signal_p2_1, signal_p3_1);
+                RooAddPdf signal_bkg("signal_bkg", "signal_1", RooArgList(signalCore_fixed_1, signalComb_fixed_1), signal_p4_1);
+                
+                RooRealVar *signal_bkg_norm= new RooRealVar("signal_bkg_norm","signal_bkg_norm", 0., -abs(bias), abs(bias),"");                
+                RooWorkspace *w=new RooWorkspace("HbbHbb");             
+                w->import(signal_fixed);
+                w->import(signal_bkg);   
+                w->import(*signal_bkg_norm); 
+                w->SaveAs(Form("%s_%d_%s/w_signal_%d.root", dir.c_str(), int(masses[iPoint]+i*step), background.c_str(), int(masses[iPoint]+i*step)));
+            }
+        }
+        c[iPoint] = new TCanvas(Form("linearmorph_%d",iPoint),Form("linearmorph_%d",iPoint),700,700) ;
+        frame1[iPoint]->Draw();
+        c[iPoint]->SaveAs(Form("fig/linearmorph_%d_%d_%d.png",int(masses[iPoint]), int(masses[iPoint+1]),range));
+        c[iPoint]->SaveAs(Form("fig/linearmorph_%d_%d_%d.pdf",int(masses[iPoint]), int(masses[iPoint+1]),range));
+        c[iPoint]->SaveAs(Form("fig/linearmorph_%d_%d_%d.root",int(masses[iPoint]), int(masses[iPoint+1]),range));
+        
+    }
+    c_tot = new TCanvas("linearmorph_tot","linearmorph_tot",700,700) ;
+    frame_tot->Draw();
+    c_tot->SaveAs(Form("fig/linearmorph_tot_%d.png",range));
+    c_tot->SaveAs(Form("fig/linearmorph_tot_%d.pdf",range));
+    c_tot->SaveAs(Form("fig/linearmorph_tot_%d.root",range));
+    return ;
+}
+/*********************************
+ **           Functions          *
+ *********************************/
+
+//================================================================================
+
+void interpolation_normalization(bool flag_MMR, std::string function, std::string name_range, int range){
+    
+    std::vector<double> mass_0;
+    std::vector<double> mass;
+    std::string dir, background=function+"_"+name_range;
+    if (flag_MMR) {
+        dir = "MMR";
+        std::vector<double> mass_0_temp,mass_temp;
+        if (range==1){mass_0_temp= {550, 600, 650, 750, 800, 900, 1000, 1200};}
+        else{mass_0_temp= {550, 600, 650, 750, 800, 900, 1000, 1200};}
+        if (range==1){mass_temp= {550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1050, 1100, 1150, 1200};}
+        else{mass_temp= {550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000, 1050, 1100, 1150, 1200};}
+        for (unsigned int i = 0 ; i< mass_0_temp.size(); i++) {
+            mass_0.push_back(mass_0_temp[i]);
+        }
+        
+        for (unsigned int i = 0 ; i< mass_temp.size(); i++){
+            mass.push_back(mass_temp[i]);
+        }
+    }
+    else{
+        dir = "LMR";
+        std::vector<double> mass_0_temp,mass_temp;
+        if (range==1){mass_0_temp= {260, 270, 300, 350};}
+        else{mass_0_temp= {270, 300, 350, 400, 450, 500, 550, 600, 650};}
+        if (range==1){mass_temp= {260, 265, 270, 275, 280, 285, 290, 295, 300, 310, 320, 350};}
+        else{mass_temp= {270, 275, 280, 285, 290, 295, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 650};}
+        for (unsigned int i = 0 ; i< mass_0_temp.size(); i++) {
+            mass_0.push_back(mass_0_temp[i]);
+        }
+        
+        for (unsigned int i = 0 ; i< mass_temp.size(); i++){
+            mass.push_back(mass_temp[i]);
+
+        }
+        
+    }
+    const unsigned int nPoints=mass.size();
+    const unsigned int nPoints_0=mass_0.size();
+    double lin[nPoints],interpol[nPoints];
+    double signal_0[nPoints_0];
+    double interpol_syst_0[NumOfSyst][nPoints];
+    double syst_0[NumOfSyst][nPoints_0];
+    double syst[NumOfSyst][nPoints_0];
+    double sp_syst_0[nPoints_0];
+    std::string name_syst[NumOfSyst];
+    double interpol_bias_0[nPoints];
+    double signal_0_bias[nPoints_0];  
+    double sp_bias_0[nPoints_0];
+    TSpline3* sp_bias;
+
+    int j=0;
+    for (int syst_num=0; syst_num<NumOfSyst; syst_num++) {
+        switch (syst_num) {
+            case 0: name_syst[syst_num]="bTag";break;
+            case 1: name_syst[syst_num]="JER";break;
+            case 2: name_syst[syst_num]="JEC";break;
+            case 3: name_syst[syst_num]="PDF";break;
+            case 4: name_syst[syst_num]="trigger";break;
+        }
+    }
+    
+    for (unsigned i = 0; i<nPoints; i++) {
+        if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){
+            continue;
+        }
+        if (gSystem->AccessPathName(Form("%s_%d_%s", dir.c_str(), int(mass[i]), background.c_str()))) {
+            gSystem->Exec(Form("mkdir %s_%d_%s", dir.c_str(), int(mass[i]), background.c_str()));
+        }
+        int lMarker=0;
+        for (auto m : mass_0){
+            if (m > mass[i]){
+                break;
+            }
+            lMarker++;
+        }
+        gSystem->Exec(Form("cp -r %s_%d_%s/datacard_%d_%s.txt %s_%d_%s/datacard_%d_%s.txt", dir.c_str(), int(mass_0[lMarker]), background.c_str(), int(mass_0[lMarker]), background.c_str(), dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str()));
+        gSystem->Exec(Form("cp -r %s_%d_%s/signal%d_sig.log %s_%d_%s/signal%d_sig.log", dir.c_str(), int(mass_0[lMarker]), background.c_str(), int(mass_0[lMarker]), dir.c_str(), int(mass[i]), background.c_str(), int(mass[i])));
+        gSystem->Exec(Form("cp -r %s_%d_%s/w_background_%s.root %s_%d_%s/w_background_%s.root", dir.c_str(), int(mass_0[lMarker]), background.c_str(), background.c_str(), dir.c_str(), int(mass[i]), background.c_str(), background.c_str()));
+        if(mass_0[lMarker] == 1200){gSystem->Exec(Form("sed -i 's/.signal_%d./_signal_%d./g' %s_%d_%s/datacard_%d_%s.txt", int(mass_0[lMarker]), int(mass[i]), dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str())); }
+        else{gSystem->Exec(Form("sed -i 's/%d./%d./g' %s_%d_%s/datacard_%d_%s.txt", int(mass_0[lMarker]), int(mass[i]), dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str()));}
+        
+    }
+
+    for (unsigned i = 0; i<nPoints_0; i++) {
+        
+        std::string mass_string= itoa(mass_0[i]);
+        std::cout<< mass_string << std::endl;
+        std::string filename=dir+"_"+mass_string+"_"+background+"/datacard_"+mass_string+"_"+background+".txt";
+        
+        std::ifstream file(filename.c_str(), ios::in);
+        bool found= false;
+        std::string line;
+        while (!found && !file.eof()) {
+            getline(file, line);
+            std::size_t pos = line.find("rate");
+            if (pos!=std::string::npos){
+                found=true;
+                signal_0[i] = atof(line.substr(pos+22,line.find_last_of(" ")).c_str());
+                cout<<"This is the rate in the datacards: "<<signal_0[i]<<endl;                
+            }
+        }
+        
+        file.close();
+
+        std::string filename_bias=dir+"_"+mass_string+"_"+background+"/datacard_"+mass_string+"_"+background+".txt";
+        std::ifstream file_bias(filename_bias.c_str(), ios::in);
+        bool found_bias= false; 
+        std::string line_bias;
+        while (!found_bias && !file_bias.eof()) {
+            getline(file_bias, line_bias);
+            std::size_t pos = line_bias.find("shapeBkg_signal_bkg_HbbHbb__norm");
+            if (pos!=std::string::npos){
+                found_bias=true;
+                signal_0_bias[i] = atof(line_bias.substr(pos+43,line_bias.find_last_of(" ")).c_str());
+                cout<<"This is the bias in the datacards: "<<signal_0_bias[i]<<endl;
+            }
+        }
+        file_bias.close();
+
+        for (int syst_num = 0; syst_num<NumOfSyst; syst_num++) {
+            
+            std::string filename=dir+"_"+mass_string+"_"+background+"/datacard_"+mass_string+"_"+background+".txt";
+            std::ifstream file_syst(filename.c_str(), ios::in);
+            found= false;
+            while (!found && !file_syst.eof()) {
+                getline(file_syst, line);
+                std::size_t pos = line.find(Form("%s", name_syst[syst_num].c_str()));;
+                if (pos!=std::string::npos){
+                    found=true;
+                    syst_0[syst_num][i] = atof(line.substr(pos+16,line.find_last_of("-")).c_str());
+                    cout<<"This is the systematic in the datacards: "<<syst_0[syst_num][i]<<endl;
+                }
+            }
+            file_syst.close();
+        }
+        if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){j++;}        
+    }
+
+    TCanvas *c1 = new TCanvas("canvas","canvas",700,700);
+    TPad *p_1=new TPad("p_1", "p_1", 0, 0.3, 1, 1);
+    p_1->SetFillStyle(4000);
+    p_1->SetFrameFillColor(0);
+    p_1->SetBottomMargin(0.035);
+    TPad* p_2 = new TPad("p_2", "p_2",0,0,1,0.3);
+    p_2->SetBottomMargin(0.2);
+    p_2->SetTopMargin(0.02);
+    p_2->SetFillColor(0);
+    p_2->SetBorderMode(0);
+    p_2->SetBorderSize(2);
+    p_2->SetFrameBorderMode(0);
+    p_2->SetFrameBorderMode(0);
+    p_1->Draw();
+    p_2->Draw();
+    p_1->cd();
+    
+    TH1F* hr_1;
+    TH1F* hr_2;
+    if (flag_MMR) {
+        if (range==1){hr_1 = c1->DrawFrame(400,0,1300,10);}
+        else{hr_1 = c1->DrawFrame(400,0,1300,10);}
+        hr_1->SetTitle("Linear interpolation of yield in MMR");
+    } else {
+        if (range==1){hr_1 = c1->DrawFrame(250,0,370,600);}
+        else{hr_1 = c1->DrawFrame(250,0,650,2000);}
+        hr_1->SetTitle("Linear interpolation of yield in LMR");
+    }
+    hr_1->SetXTitle("m_{X} (GeV)");
+    hr_1->GetYaxis()->SetTitleOffset(1.2);
+    hr_1->SetYTitle("Normalization");
+    c1->GetFrame()->SetBorderSize(12);
+    p_2->cd();
+    if (flag_MMR) {
+        if (range==1){hr_2 = c1->DrawFrame(400,-0.07,1300,0.07);}
+        else{hr_2 = c1->DrawFrame(400,-0.07,1300,0.07);}
+    } else {
+        if (range==1){hr_2 = c1->DrawFrame(250,-0.04,370,0.04);}
+        else{hr_2 = c1->DrawFrame(250,-0.04,650,0.04);}
+    }
+    hr_2->SetXTitle("m_{X} (GeV)");
+    hr_2->GetXaxis()->SetTitleOffset(0.6);
+    hr_2->GetXaxis()->SetTitleSize(0.08);
+    hr_2->GetYaxis()->SetTitleOffset(0.5);
+    hr_2->GetYaxis()->SetTitleSize(0.08);
+    hr_2->SetLabelSize(0.06,"xy");
+    hr_2->SetYTitle("Relative errors");    
+    c1->GetFrame()->SetBorderSize(12);
+    p_1->cd();
+        
+    TGraphErrors* g_signal_0 = new TGraphErrors(nPoints_0, &(mass_0[0]), signal_0);
+    g_signal_0->SetMarkerColor(kRed);
+    g_signal_0->SetMarkerStyle(21);
+    g_signal_0->SetLineColor(0);
+    g_signal_0->Draw("P");
+    
+    j=0;
+    for (unsigned i = 0; i<nPoints; i++) {
+        if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){
+            interpol[i]=signal_0[j];
+            j++;
+        }
+        else{int lMarker=0;
+            for (auto pVal : mass_0){  if (pVal > mass[i]){break;}lMarker++;}
+            interpol[i] =( (signal_0[lMarker]-signal_0[lMarker-1])*(mass[i]-mass_0[lMarker-1])/(mass_0[lMarker]-mass_0[lMarker-1])+signal_0[lMarker-1]);
+        }
+    }
+
+    TGraphErrors* g_signal_2 = new TGraphErrors(nPoints, &(mass[0]), interpol);
+    g_signal_2->SetMarkerColor(kBlue);
+    g_signal_2->SetMarkerStyle(20);
+    g_signal_2->SetLineColor(0);
+    g_signal_2->Draw("P");
+    g_signal_0->Draw("P");
+
+    TF1 *fit_pol = new TF1("fit_pol",pol_line,100,1000,4);
+    fit_pol->SetParameter(0, 1500.);
+    fit_pol->SetParameter(1, -13.);
+    fit_pol->SetParameter(2, 0.07 );
+    fit_pol->SetParameter(3, -1.e-05);
+    fit_pol->SetParName(0, "x_0");
+    fit_pol->SetParName(1, "x_1");
+    fit_pol->SetParName(2, "x_2");
+    fit_pol->SetParName(3, "x_3");
+    if (flag_MMR) {
+        g_signal_0->Fit(fit_pol,"","", 550,1200);
+    }
+    else{
+        if (range==1){
+            g_signal_0->Fit(fit_pol,"","",260,400);}
+        else{g_signal_0->Fit(fit_pol,"","",260,650);}
+    }
+ 
+    TGraphErrors* g_pull = new TGraphErrors(nPoints);
+    g_pull->SetMarkerStyle(7);
+    g_pull->SetMarkerSize(0.4);
+    
+    for (unsigned i = 0; i<nPoints; i++) {
+        bool trovato = false;
+        for (double m : mass_0) {
+            if (m == mass[i]) {
+                trovato=true;
+            }
+        }
+        if (!trovato) {
+            double temp = (interpol[i]-fit_pol->Eval(mass[i]))/fit_pol->Eval(mass[i]);
+            g_pull->SetPoint(i, mass[i],temp);
+        }
+    }     
+        
+    TLegend *leg=new TLegend(0.2, 0.65, 0.65, 0.85);
+    leg->SetFillStyle(1); leg->SetFillColor(kWhite);
+    leg->AddEntry(g_signal_0, "Norm for MC masses", "lep");
+    leg->AddEntry(g_signal_2, "Interpolation", "lep");
+    leg->SetFillColor(kWhite);
+    leg->SetFillStyle(0);
+    leg->SetTextSize(0.03);
+    leg->SetTextFont(42);
+    leg->SetBorderSize(0);
+    leg->Draw();
+
+    p_2->cd();
+    TLine* line;
+    g_pull->Draw("P"); 
+    if (flag_MMR) {
+        line= new TLine(350, 0, 1200, 0);
+    }
+    else{
+        line= new TLine(250, 0, 550, 0);
+    }
+    line->SetLineStyle(2);
+    line->SetLineWidth(1);
+    line->Draw();
+         
+    if (flag_MMR) {
+        c1->SaveAs("interpolation_yield_MMR.pdf");
+        c1->SaveAs("interpolation_yield_MMR.png");
+        
+    } else {
+        c1->SaveAs(Form("interpolation_yield_LMR_%d.pdf",range));
+        c1->SaveAs(Form("interpolation_yield_LMR_%d.png",range));   
+    }
+    
+    for (unsigned i = 0; i<nPoints; i++) {
+        
+        std::string mass_string= itoa(mass[i]);
+        std::string filename=dir+"_"+mass_string+"_"+background+"/datacard_"+mass_string+"_"+background+".txt";
+        
+        std::ifstream file(filename.c_str(), ios::in);
+        
+        bool found= false;
+        std::string line;
+        double background_temp=0.;                
+        
+
+        while (!found && !file.eof()) {
+            getline(file, line);
+            std::size_t pos = line.find("rate");
+            if (pos!=std::string::npos){
+                found=true;
+                background_temp = atof((line.substr(line.find_last_of(" "))).c_str());
+            }
+            
+        }
+                
+        if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){
+            continue;
+        }
+        
+        int lMarker=0;
+        for (auto m : mass_0){
+            if (m > mass[i]){
+                break;
+            }
+            lMarker++;
+        }
+        gSystem->Exec(Form("sed -i 's/.*rate.*/rate            %f   %f   %f /g' %s_%d_%s/datacard_%d_%s.txt", interpol[i], background_temp,interpol[i], dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str()));
+    }
+    cout<<"end"<<endl;
+
+
+    //Interpolate bias
+    TCanvas *c3 = new TCanvas("canvas","canvas",700,700);
+    TPad *p_3=new TPad("p_3", "p_3", 0, 0, 1, 1);
+    p_3->SetFillStyle(4000);
+    p_3->SetFrameFillColor(0);
+    p_3->SetBottomMargin(0.035);  
+    p_3->Draw();
+    
+    TH1F* hr_3;
+    if (flag_MMR) {
+        if (range==1){hr_3 = c3->DrawFrame(400,-0.5,1400,0.5);}
+        else{hr_3 = c3->DrawFrame(400,0.5,1400,0.5);}
+        hr_3->SetTitle("Interpolation of bias in MMR");
+    } else {
+        if (range==1){hr_3 = c3->DrawFrame(250,-0.5,370,0.5);}
+        else{hr_3 = c3->DrawFrame(250,-0.5,650,0.5);}
+        hr_3->SetTitle("Interpolation of bias in LMR");
+    }
+    hr_3->SetXTitle("m_{X} (GeV)");
+    hr_3->GetYaxis()->SetTitleOffset(1.2);
+    hr_3->SetYTitle("Bias");
+    c3->GetFrame()->SetBorderSize(12);
+    
+    TGraphErrors* g_signal_0_bias = new TGraphErrors(nPoints_0, &(mass_0[0]), signal_0_bias);
+    g_signal_0_bias->SetMarkerColor(kRed);
+    g_signal_0_bias->SetMarkerStyle(21);
+    g_signal_0_bias->SetLineColor(0);
+    
+    //Code for Spline
+    for (unsigned i = 0; i<nPoints_0; i++) {
+            sp_bias_0[i]= signal_0_bias[i];
+            cout<<"This is the spline mc input (bias): "<<sp_bias_0[i]<<endl;
+    }
+    //sp_bias = new TSpline3(Form("Spline_bias_%d_%d",flag_MMR,range), &(mass_0[0]), sp_bias_0, nPoints_0, "b2e2", 0, 0);
+    sp_bias = new TSpline3(Form("Spline_bias_%d_%d",flag_MMR,range), &(mass_0[0]), sp_bias_0, nPoints_0, "b2e2", 0, 0);
+    sp_bias->SetLineColor(kGreen+2);  
+     
+    int k=0;
+    for (unsigned i = 0; i<nPoints; i++) {
+            if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){
+                interpol_bias_0[i]=signal_0_bias[k];
+                cout<<"This is the mc (bias): "<<interpol_bias_0[i]<<endl;
+                k++;
+            }
+            else{
+                interpol_bias_0[i]=sp_bias->Eval(mass[i]);
+                cout<<"This is the interpolation (bias): "<<interpol_bias_0[i]<<endl;
+            }
+
+    }
+
+    TGraphErrors* g_signal_2_bias = new TGraphErrors(nPoints, &(mass[0]), interpol_bias_0);
+    g_signal_2_bias->SetMarkerColor(kBlue);
+    g_signal_2_bias->SetMarkerStyle(20);
+    g_signal_2_bias->SetLineColor(0);
+    g_signal_2_bias->Draw("P");
+    g_signal_0_bias->Draw("P");
+    sp_bias->Draw("lsame");    
+    
+    TLegend *leg_bias=new TLegend(0.2, 0.65, 0.65, 0.85);
+    leg_bias->SetFillStyle(1); leg_bias->SetFillColor(kWhite);
+    leg_bias->AddEntry(g_signal_0_bias, "Bias for MC masses", "lep");
+    leg_bias->AddEntry(g_signal_2_bias, "Interpolation", "lep");
+    leg_bias->AddEntry(sp_bias, "Spline Interpolation", "l");    
+    leg_bias->SetFillColor(kWhite);
+    leg_bias->SetFillStyle(0);
+    leg_bias->SetTextSize(0.03);
+    leg_bias->SetTextFont(42);
+    leg_bias->SetBorderSize(0);
+    leg_bias->Draw();
+         
+    if (flag_MMR) {
+        c3->SaveAs("interpolation_bias_MMR.pdf");
+        c3->SaveAs("interpolation_bias_MMR.png");
+        
+    } else {
+        c3->SaveAs(Form("interpolation_bias_LMR_%d.pdf",range));
+        c3->SaveAs(Form("interpolation_bias_LMR_%d.png",range));   
+    }
+
+    //Change the bias value in datacards
+    for (unsigned i = 0; i<nPoints; i++) {
+        if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){ continue;}
+        std::string mass_string= itoa(mass[i]);
+        std::string filename_bias=dir+"_"+mass_string+"_"+background+"/datacard_"+mass_string+"_"+background+".txt";    
+        std::ifstream file_bias(filename_bias.c_str(), ios::in);
+        gSystem->Exec(Form("sed -i 's/shapeBkg_signal_bkg_HbbHbb__norm.*param.*/shapeBkg_signal_bkg_HbbHbb__norm param  0.0 %f /g' %s_%d_%s/datacard_%d_%s.txt", interpol_bias_0[i], dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str()));
+        file_bias.close();
+    }
+    cout<<"end"<<endl;
+
+    TCanvas *c2[NumOfSyst];
+    TPad *p_syst1[NumOfSyst];
+    TH1F* h_syst_1[NumOfSyst];
+    TGraphErrors* g_syst_0[NumOfSyst];
+    TGraphErrors* g_syst_1[NumOfSyst];  
+    TLegend* leg_syst[NumOfSyst];
+    TSpline3* sp_syst[NumOfSyst];
+
+    for (int syst_num=0; syst_num<NumOfSyst; syst_num++) {
+        c2[syst_num]= new TCanvas(Form("canvas_syst_%d",syst_num),Form("canvas_syst_%d",syst_num),700,700);
+        c2[syst_num]->GetFrame()->SetBorderSize(12);
+        p_syst1[syst_num] = new TPad(Form("p_syst1_%d",syst_num), Form("p_syst1_%d",syst_num), 0, 0, 1, 1);
+        p_syst1[syst_num]->SetFillStyle(4000);
+        p_syst1[syst_num]->SetFrameFillColor(0);
+        p_syst1[syst_num]->SetBottomMargin(0.035);
+        p_syst1[syst_num]->Draw();
+
+        if (flag_MMR) {
+            if (range==1){
+                h_syst_1[syst_num] = c2[syst_num]->DrawFrame(500,1,1250,1.10);
+            }
+            else{
+                h_syst_1[syst_num] = c2[syst_num]->DrawFrame(500,1,1250,1.10);
+            }
+            h_syst_1[syst_num]->SetTitle(Form("Interpolation of %s in MMR",name_syst[syst_num].c_str()));
+        } else {
+            if (range==1){
+                switch (syst_num) {
+                    case 0: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.0,370,1.30); break;
+                    case 1: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,0.97,370,1.07); break;
+                    case 2: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,0.95,370,1.05); break;
+                    case 3: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.0,370,1.05); break;
+                    case 4: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.05,370,1.15); break;
+                }
+            }
+            else{
+                switch (syst_num) {
+                    case 0: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.0,650,1.30); break;
+                    case 1: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,0.97,650,1.07); break;
+                    case 2: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,0.95,650,1.05); break;
+                    case 3: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1,650,1.05); break;
+                    case 4: h_syst_1[syst_num] = c2[syst_num]->DrawFrame(250,1.05,650,1.15); break;
+                }
+
+            }
+            h_syst_1[syst_num]->SetTitle(Form("Interpolation of %s in LMR",name_syst[syst_num].c_str()));
+        }
+        h_syst_1[syst_num]->SetXTitle("m_{X} (GeV)");
+        h_syst_1[syst_num]->GetYaxis()->SetTitleOffset(1.2);
+        h_syst_1[syst_num]->SetYTitle(Form("%s",name_syst[syst_num].c_str()));
+        g_syst_0[syst_num] = new TGraphErrors(nPoints_0, &(mass_0[0]), syst_0[syst_num]);
+        g_syst_0[syst_num]->SetMarkerColor(kRed);
+        g_syst_0[syst_num]->SetMarkerStyle(21);
+        g_syst_0[syst_num]->SetLineColor(0);
+        g_syst_0[syst_num]->Draw("P");
+
+        //Code for Spline  
+        for (unsigned i = 0; i<nPoints_0; i++) {
+            sp_syst_0[i]= syst_0[syst_num][i];
+            cout<<"This is the spline mc input: "<<sp_syst_0[i]<<endl;
+        }
+        sp_syst[syst_num] = new TSpline3(Form("Spline_syst_%d",syst_num), &(mass_0[0]), sp_syst_0, nPoints_0, "b2e2", 0, 0);
+        sp_syst[syst_num]->SetLineColor(kGreen+2);   
+        j=0;
+        for (unsigned i = 0; i<nPoints; i++) {
+            if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){
+                interpol_syst_0[syst_num][i]=syst_0[syst_num][j];
+                cout<<"This is the mc: "<<interpol_syst_0[syst_num][i]<<endl;
+                j++;
+            }
+            else{
+                interpol_syst_0[syst_num][i]=sp_syst[syst_num]->Eval(mass[i]);
+                cout<<"This is the interpolation: "<<interpol_syst_0[syst_num][i]<<endl;
+            }
+
+        }
+         
+        g_syst_1[syst_num] = new TGraphErrors(nPoints, &(mass[0]), interpol_syst_0[syst_num]);
+        g_syst_1[syst_num]->SetMarkerColor(kBlue);
+        g_syst_1[syst_num]->SetMarkerStyle(20);
+        g_syst_1[syst_num]->SetLineColor(0);
+        g_syst_1[syst_num]->Draw("P");
+        g_syst_0[syst_num]->Draw("P");
+        sp_syst[syst_num]->Draw("lsame");
+     
+        leg_syst[syst_num] =new TLegend(0.5, 0.65, 0.82, 0.85);
+        leg_syst[syst_num]->SetFillStyle(1); leg->SetFillColor(kWhite);
+        leg_syst[syst_num]->AddEntry(g_syst_0[syst_num], Form("%s for MC points", name_syst[syst_num].c_str()), "lep");
+        leg_syst[syst_num]->AddEntry(g_syst_1[syst_num], Form("%s for interpolated points", name_syst[syst_num].c_str()), "lep");
+        leg_syst[syst_num]->AddEntry(sp_syst[syst_num], "Spline Interpolation", "l");               
+        leg_syst[syst_num]->SetFillColor(kWhite);
+        leg_syst[syst_num]->SetFillStyle(0);
+        leg_syst[syst_num]->SetTextSize(0.03);
+        leg_syst[syst_num]->SetTextFont(42);
+        leg_syst[syst_num]->SetBorderSize(0);
+        leg_syst[syst_num]->Draw();
+        
+        if (flag_MMR) {
+            c2[syst_num]->SaveAs(Form("%s_interpolation_MMR_%d.pdf", name_syst[syst_num].c_str(), range));
+            c2[syst_num]->SaveAs(Form("%s_interpolation_MMR_%d.png", name_syst[syst_num].c_str(), range));
+        } else {
+            c2[syst_num]->SaveAs(Form("%s_interpolation_LMR_%d.pdf", name_syst[syst_num].c_str(), range));
+            c2[syst_num]->SaveAs(Form("%s_interpolation_LMR_%d.png", name_syst[syst_num].c_str(), range));
+        }
+        
+        for (unsigned i = 0; i<nPoints; i++) {
+            if (std::find(mass_0.begin(), mass_0.end(), mass[i]) != mass_0.end()){ continue;}
+            std::string mass_string= itoa(mass[i]);
+            std::string filename=dir+"_"+mass_string+"_"+background+"/datacard_"+mass_string+"_"+background+".txt";
+            std::ifstream file_syst(filename.c_str(), ios::in);
+            gSystem->Exec(Form("sed -i 's/%s.*lnN.*/%s      lnN     %f    -    -  /g' %s_%d_%s/datacard_%d_%s.txt", name_syst[syst_num].c_str(), name_syst[syst_num].c_str(), interpol_syst_0[syst_num][i], dir.c_str(), int(mass[i]), background.c_str(), int(mass[i]), background.c_str()));
+            file_syst.close();
+        }
+        
+    }
+}
+
+
+//================================================================================
+
+Double_t straight_line(Double_t *x, Double_t *par)
+{
+    Double_t m,q; // Exponential slope
+    
+    q = par[0];
+    m = par[1];
+    
+    return q + m*x[0];
+}
+
+//================================================================================
+
+Double_t pol_line(Double_t *x, Double_t *par)
+{
+    Double_t x_0,x_1,x_2,x_3; // Exponential slope
+    
+    x_0 = par[0];
+    x_1 = par[1];
+    x_2 = par[2];
+    x_3 = par[3];
+    
+    return x_0 + x_1*x[0]+ x_2*x[0]*x[0]+ x_3*x[0]*x[0]*x[0];
+}
+
+//================================================================================
+
+void PrintArray(Double_t *v, Int_t dim, Int_t precision){
+    int i;
+    for (i = 0; i < dim; i++){
+        switch (precision) {
+            case 0: printf("v[%d]: %.0f\n", i, v[i]); break;
+            case 1: printf("v[%d]: %.1f\n", i, v[i]); break;
+            case 2: printf("v[%d]: %.2f\n", i, v[i]); break;
+            case 3: printf("v[%d]: %.3f\n", i, v[i]); break;
+            case 4: printf("v[%d]: %.4f\n", i, v[i]); break;
+            case 5: printf("v[%d]: %.5f\n", i, v[i]); break;
+            case 6: printf("v[%d]: %.6f\n", i, v[i]); break;
+            case 7: printf("v[%d]: %.7f\n", i, v[i]); break;
+            default : printf("v[%d]: %.8f\n", i, v[i]); break;
+        }
+    }
+    cout << endl;
+}
+
+//================================================================================
+
+std::string itoa(int i)
+{
+    char res[4];
+    sprintf(res, "%d", i);
+    std::string ret(res);
+    return ret;
+}
+
+//================================================================================

From 25ebea138700a0caca75a36ee4bdb513d1fea0cd Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Mon, 2 Oct 2017 22:17:56 -0500
Subject: [PATCH 05/11] New files

---
 .../3GeV/LMR_260_crystal_252_330/data_bkg.log |  750 --------
 .../datacard_260_crystal_252_330.txt          |   35 -
 .../fit/3GeV/LMR_260_crystal_252_330/pdf.log  |   10 -
 .../LMR_260_crystal_252_330/signal260_sig.log |  842 ---------
 .../LMR_260_gaus_exp_252_330/data_bkg.log     |  750 --------
 .../datacard_260_gaus_exp_252_330.txt         |   30 -
 .../fit/3GeV/LMR_260_gaus_exp_252_330/pdf.log |   10 -
 .../signal260_sig.log                         |  842 ---------
 .../LMR_270_crystal_1_285_624/data_bkg.log    |  750 --------
 .../datacard_270_crystal_1_285_624.txt        |   31 -
 .../3GeV/LMR_270_crystal_1_285_624/pdf.log    |   10 -
 .../signal270_sig.log                         |  959 -----------
 .../3GeV/LMR_270_crystal_252_330/data_bkg.log |  750 --------
 .../datacard_270_crystal_252_330.txt          |   35 -
 .../fit/3GeV/LMR_270_crystal_252_330/pdf.log  |   10 -
 .../LMR_270_crystal_252_330/signal270_sig.log |  959 -----------
 .../LMR_270_gaus_exp_252_330/data_bkg.log     |  750 --------
 .../datacard_270_gaus_exp_252_330.txt         |   30 -
 .../fit/3GeV/LMR_270_gaus_exp_252_330/pdf.log |   10 -
 .../signal270_sig.log                         |  959 -----------
 .../LMR_270_novo_285_624/signal270_sig.log    |    2 -
 .../LMR_300_crystal_1_285_624/data_bkg.log    |  750 --------
 .../datacard_300_crystal_1_285_624.txt        |   31 -
 .../3GeV/LMR_300_crystal_1_285_624/pdf.log    |   10 -
 .../signal300_sig.log                         |  859 ----------
 .../3GeV/LMR_300_crystal_252_330/data_bkg.log |  750 --------
 .../datacard_300_crystal_252_330.txt          |   35 -
 .../fit/3GeV/LMR_300_crystal_252_330/pdf.log  |   10 -
 .../LMR_300_crystal_252_330/signal300_sig.log |  859 ----------
 .../LMR_300_gaus_exp_252_330/data_bkg.log     |  750 --------
 .../datacard_300_gaus_exp_252_330.txt         |   30 -
 .../fit/3GeV/LMR_300_gaus_exp_252_330/pdf.log |   10 -
 .../signal300_sig.log                         |  859 ----------
 .../3GeV/LMR_300_novo_285_624/data_bkg.log    |  750 --------
 .../datacard_300_novo_285_624.txt             |   30 -
 .../fit/3GeV/LMR_300_novo_285_624/pdf.log     |   10 -
 .../LMR_300_novo_285_624/signal300_sig.log    |  859 ----------
 .../LMR_350_crystal_1_285_624/data_bkg.log    |  750 --------
 .../datacard_350_crystal_1_285_624.txt        |   31 -
 .../3GeV/LMR_350_crystal_1_285_624/pdf.log    |   10 -
 .../signal350_sig.log                         |  927 ----------
 .../3GeV/LMR_350_crystal_252_330/data_bkg.log |  750 --------
 .../datacard_350_crystal_252_330.txt          |   35 -
 .../fit/3GeV/LMR_350_crystal_252_330/pdf.log  |   10 -
 .../LMR_350_crystal_252_330/signal350_sig.log |  927 ----------
 .../LMR_350_gaus_exp_252_330/data_bkg.log     |  750 --------
 .../datacard_350_gaus_exp_252_330.txt         |   30 -
 .../fit/3GeV/LMR_350_gaus_exp_252_330/pdf.log |   10 -
 .../signal350_sig.log                         |  927 ----------
 .../3GeV/LMR_350_novo_285_624/data_bkg.log    |  750 --------
 .../datacard_350_novo_285_624.txt             |   30 -
 .../fit/3GeV/LMR_350_novo_285_624/pdf.log     |   10 -
 .../LMR_350_novo_285_624/signal350_sig.log    |  927 ----------
 .../LMR_400_crystal_1_285_624/data_bkg.log    |  750 --------
 .../datacard_400_crystal_1_285_624.txt        |   31 -
 .../3GeV/LMR_400_crystal_1_285_624/pdf.log    |   10 -
 .../signal400_sig.log                         |  869 ----------
 .../3GeV/LMR_400_novo_285_624/data_bkg.log    |  750 --------
 .../datacard_400_novo_285_624.txt             |   30 -
 .../fit/3GeV/LMR_400_novo_285_624/pdf.log     |   10 -
 .../LMR_400_novo_285_624/signal400_sig.log    |  869 ----------
 .../LMR_450_crystal_1_285_624/data_bkg.log    |  750 --------
 .../datacard_450_crystal_1_285_624.txt        |   31 -
 .../3GeV/LMR_450_crystal_1_285_624/pdf.log    |   10 -
 .../signal450_sig.log                         |  849 ---------
 .../3GeV/LMR_450_novo_285_624/data_bkg.log    |  750 --------
 .../datacard_450_novo_285_624.txt             |   30 -
 .../fit/3GeV/LMR_450_novo_285_624/pdf.log     |   10 -
 .../LMR_450_novo_285_624/signal450_sig.log    |  849 ---------
 .../LMR_500_crystal_1_285_624/data_bkg.log    |  750 --------
 .../datacard_500_crystal_1_285_624.txt        |   31 -
 .../3GeV/LMR_500_crystal_1_285_624/pdf.log    |   10 -
 .../signal500_sig.log                         |  916 ----------
 .../3GeV/LMR_500_novo_285_624/data_bkg.log    |  750 --------
 .../datacard_500_novo_285_624.txt             |   30 -
 .../fit/3GeV/LMR_500_novo_285_624/pdf.log     |   10 -
 .../LMR_500_novo_285_624/signal500_sig.log    |  916 ----------
 .../LMR_550_crystal_1_285_624/data_bkg.log    |  750 --------
 .../datacard_550_crystal_1_285_624.txt        |   31 -
 .../3GeV/LMR_550_crystal_1_285_624/pdf.log    |   10 -
 .../signal550_sig.log                         |  872 ----------
 .../3GeV/LMR_550_novo_285_624/data_bkg.log    |  750 --------
 .../datacard_550_novo_285_624.txt             |   30 -
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 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out (100%)
 rename PreselectedWithRegressionDeepCSV/{ => limits_bias}/limits_bias_radion/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt (100%)
 delete mode 100644 bias_LMR_1.txt
 delete mode 100644 bias_LMR_2.txt
 delete mode 100644 bias_MMR_1.txt
 delete mode 100644 bias_MMR_2.txt
 delete mode 100644 out.log
 delete mode 100644 out2.log
 delete mode 100644 prova.txt
 delete mode 100644 test1.txt
 delete mode 100644 test10.txt
 delete mode 100644 test11.txt
 delete mode 100644 test12.txt
 delete mode 100644 test2.txt
 delete mode 100644 test3.txt
 delete mode 100644 test4.txt
 delete mode 100644 test5.txt
 delete mode 100644 test6.txt
 delete mode 100644 test7.txt
 delete mode 100644 test8.txt
 delete mode 100644 test9.txt

diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt
deleted file mode 100644
index 36f4d8c..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  191.924 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06823    -
-JER       lnN     1.02103   - 
-JEC       lnN     1.01807   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01504940545   -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/pdf.log
deleted file mode 100644
index d74576e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=7.89989 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=5.9771e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.98474e+01   2.50075e+00   3.01290e-03  -1.61476e-05
-   2  Mean         1.00154e+00   1.72384e-03   2.41798e-06   3.32702e-02
-   3  Sigma        1.50494e-02   1.19888e-03   3.07932e-05   1.91423e-03
-1.00153706947 +/- 0.00172384303603
-0.0150494054533 +/- 0.00119888063503
-PDF lnN 1.01504940545
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/signal260_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/signal260_sig.log
deleted file mode 100644
index 13dd83d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_crystal_252_330/signal260_sig.log
+++ /dev/null
@@ -1,842 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7249.56 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -3.41934e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -9.44540e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.87170e+02
-   4  sg_p3        5.54385e+01   2.90000e+01  -7.56845e-01  -4.27472e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.11620e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM MIGRAD    STATUS=CONVERGED     183 CALLS         184 TOTAL
-                     EDM=2.26284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.54307e+02   4.46691e-01   1.29592e-03   1.21370e-02
-   2  sg_p1        1.55513e+01   3.65330e-01   1.72918e-03  -4.57555e-02
-   3  sg_p2        3.13992e+02   1.11306e+01   1.54612e-03   9.59972e-03
-   4  sg_p3        7.00767e+01   6.24766e+00   2.56609e-03   1.76365e-03
-   5  sg_p4        9.03546e-01   1.22165e-02   2.78748e-03  -5.41093e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.996e-01  3.046e-02  3.316e-01  2.128e-01  9.423e-04 
-  3.046e-02  1.335e-01  1.073e+00 -6.884e-02  1.627e-03 
-  3.316e-01  1.073e+00  1.240e+02 -3.745e+01  8.007e-02 
-  2.128e-01 -6.884e-02 -3.745e+01  3.907e+01 -1.718e-02 
-  9.423e-04  1.627e-03  8.007e-02 -1.718e-02  1.494e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24437   1.000  0.187  0.067  0.076  0.173
-        2  0.40012   0.187  1.000  0.264 -0.030  0.364
-        3  0.72503   0.067  0.264  1.000 -0.538  0.588
-        4  0.56339   0.076 -0.030 -0.538  1.000 -0.225
-        5  0.63827   0.173  0.364  0.588 -0.225  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM HESSE     STATUS=OK             31 CALLS         215 TOTAL
-                     EDM=2.25533e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.54307e+02   4.46615e-01   2.59185e-04   2.17043e-01
-   2  sg_p1        1.55513e+01   3.65352e-01   3.45837e-04   1.79332e-01
-   3  sg_p2        3.13992e+02   1.12246e+01   6.18447e-05   4.82680e-02
-   4  sg_p3        7.00767e+01   6.29870e+00   1.02643e-04  -6.25716e-01
-   5  sg_p4        9.03546e-01   1.22468e-02   1.11499e-04   6.61353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.995e-01  3.031e-02  3.258e-01  2.130e-01  9.376e-04 
-  3.031e-02  1.335e-01  1.084e+00 -7.870e-02  1.633e-03 
-  3.258e-01  1.084e+00  1.261e+02 -3.883e+01  8.134e-02 
-  2.130e-01 -7.870e-02 -3.883e+01  3.971e+01 -1.806e-02 
-  9.376e-04  1.633e-03  8.134e-02 -1.806e-02  1.502e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24371   1.000  0.186  0.065  0.076  0.171
-        2  0.40024   0.186  1.000  0.264 -0.034  0.365
-        3  0.73047   0.065  0.264  1.000 -0.549  0.591
-        4  0.57308   0.076 -0.034 -0.549  1.000 -0.234
-        5  0.64057   0.171  0.365  0.591 -0.234  1.000
-260
-254.307 +- 0.446615
-15.5513 +- 0.365352
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7365.44 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -5.31672e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -1.29968e+02
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.18090e+02
-   4  sg_p3        7.02234e+01   2.90000e+01  -6.24469e-01   3.04411e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.01446e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM MIGRAD    STATUS=CONVERGED     193 CALLS         194 TOTAL
-                     EDM=9.01413e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.56005e+02   4.49108e-01   1.34491e-03  -5.08347e-03
-   2  sg_p1        1.58159e+01   3.69974e-01   1.76393e-03  -5.10762e-02
-   3  sg_p2        3.20358e+02   1.45835e+01   1.97066e-03   3.38124e-02
-   4  sg_p3        8.43702e+01   8.25437e+00   3.00025e-03   1.43647e-02
-   5  sg_p4        9.08830e-01   1.15488e-02   2.75207e-03  -4.16137e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.033e-02  4.244e-01  2.172e-01  8.632e-04 
-  3.033e-02  1.369e-01  1.451e+00 -1.530e-01  1.573e-03 
-  4.244e-01  1.451e+00  2.129e+02 -7.227e+01  9.550e-02 
-  2.172e-01 -1.530e-01 -7.227e+01  6.823e+01 -2.243e-02 
-  8.632e-04  1.573e-03  9.550e-02 -2.243e-02  1.335e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23216   1.000  0.182  0.065  0.059  0.166
-        2  0.40488   0.182  1.000  0.269 -0.050  0.368
-        3  0.74731   0.065  0.269  1.000 -0.600  0.566
-        4  0.62245   0.059 -0.050 -0.600  1.000 -0.235
-        5  0.62271   0.166  0.368  0.566 -0.235  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM HESSE     STATUS=OK             31 CALLS         225 TOTAL
-                     EDM=9.02546e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.56005e+02   4.49038e-01   5.37964e-05   3.04976e-01
-   2  sg_p1        1.58159e+01   3.70057e-01   3.52786e-04   2.02768e-01
-   3  sg_p2        3.20358e+02   1.47403e+01   3.94131e-04   7.02587e-02
-   4  sg_p3        8.43702e+01   8.34145e+00   1.20010e-04  -5.08769e-01
-   5  sg_p4        9.08830e-01   1.15806e-02   5.50414e-04   6.88425e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.017e-02  4.192e-01  2.171e-01  8.603e-04 
-  3.017e-02  1.370e-01  1.472e+00 -1.690e-01  1.581e-03 
-  4.192e-01  1.472e+00  2.175e+02 -7.517e+01  9.735e-02 
-  2.171e-01 -1.690e-01 -7.517e+01  6.968e+01 -2.367e-02 
-  8.603e-04  1.581e-03  9.735e-02 -2.367e-02  1.343e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23152   1.000  0.182  0.063  0.058  0.165
-        2  0.40534   0.182  1.000  0.270 -0.055  0.369
-        3  0.75354   0.063  0.270  1.000 -0.611  0.570
-        4  0.63259   0.058 -0.055 -0.611  1.000 -0.245
-        5  0.62540   0.165  0.369  0.570 -0.245  1.000
-260
-256.005 +- 0.449038
-15.8159 +- 0.370057
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7023.18 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -2.24645e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -8.46385e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.26204e+02
-   4  sg_p3        6.83932e+01   2.90000e+01  -6.40116e-01   1.32344e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.30920e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=1.6519e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.53020e+02   4.42659e-01   1.26031e-03   3.88378e-02
-   2  sg_p1        1.54031e+01   3.53863e-01   1.68006e-03  -8.87814e-02
-   3  sg_p2        3.18681e+02   1.25359e+01   1.70808e-03   3.37307e-03
-   4  sg_p3        7.61417e+01   7.12298e+00   2.70731e-03  -4.47116e-02
-   5  sg_p4        9.04717e-01   1.16729e-02   2.71701e-03  -2.80475e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.960e-01  2.470e-02  3.794e-01  1.447e-01  7.850e-04 
-  2.470e-02  1.253e-01  1.069e+00 -1.360e-01  1.312e-03 
-  3.794e-01  1.069e+00  1.572e+02 -5.206e+01  8.352e-02 
-  1.447e-01 -1.360e-01 -5.206e+01  5.079e+01 -2.199e-02 
-  7.850e-04  1.312e-03  8.352e-02 -2.199e-02  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20982   1.000  0.158  0.068  0.046  0.152
-        2  0.35244   0.158  1.000  0.241 -0.054  0.317
-        3  0.72927   0.068  0.241  1.000 -0.582  0.570
-        4  0.59651   0.046 -0.054 -0.582  1.000 -0.264
-        5  0.60854   0.152  0.317  0.570 -0.264  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM HESSE     STATUS=OK             31 CALLS         213 TOTAL
-                     EDM=1.65128e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.53020e+02   4.42602e-01   2.52062e-04   1.51594e-01
-   2  sg_p1        1.54031e+01   3.53933e-01   3.36012e-04   1.66253e-01
-   3  sg_p2        3.18681e+02   1.26590e+01   6.83233e-05   6.44624e-02
-   4  sg_p3        7.61417e+01   7.19114e+00   1.08292e-04  -5.75018e-01
-   5  sg_p4        9.04717e-01   1.17079e-02   5.43402e-04   6.67300e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.959e-01  2.459e-02  3.764e-01  1.438e-01  7.830e-04 
-  2.459e-02  1.253e-01  1.084e+00 -1.475e-01  1.320e-03 
-  3.764e-01  1.084e+00  1.604e+02 -5.404e+01  8.512e-02 
-  1.438e-01 -1.475e-01 -5.404e+01  5.177e+01 -2.306e-02 
-  7.830e-04  1.320e-03  8.512e-02 -2.306e-02  1.372e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20923   1.000  0.157  0.067  0.045  0.151
-        2  0.35293   0.157  1.000  0.242 -0.058  0.318
-        3  0.73547   0.067  0.242  1.000 -0.593  0.574
-        4  0.60661   0.045 -0.058 -0.593  1.000 -0.274
-        5  0.61162   0.151  0.318  0.574 -0.274  1.000
-260
-253.02 +- 0.442602
-15.4031 +- 0.353933
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5529.06 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.09302e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.84754e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.60258e+01
-   4  sg_p3        1.19103e+02   2.90000e+01  -2.50167e-01   6.51588e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55737e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM MIGRAD    STATUS=CONVERGED     276 CALLS         277 TOTAL
-                     EDM=4.33865e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.23280e-01   6.16272e-04  -2.78767e-01
-   2  sg_p1        3.47719e+00   1.26808e-01   2.66781e-03  -6.03093e-03
-   3  sg_p2        2.67513e+02   7.88309e+00   7.67886e-04  -3.32533e-01
-   4  sg_p3        3.42369e+01   3.97181e+00   1.09311e-03  -2.13224e-01
-   5  sg_p4        6.40026e-01   4.56991e-02   3.70400e-03   4.78364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.286e-03 -3.667e-02  3.860e-02  7.477e-05 
-  2.286e-03  1.610e-02  4.707e-01 -1.623e-01  3.257e-03 
- -3.667e-02  4.707e-01  6.220e+01 -2.796e+01  3.355e-01 
-  3.860e-02 -1.623e-01 -2.796e+01  1.579e+01 -1.455e-01 
-  7.477e-05  3.257e-03  3.355e-01 -1.455e-01  2.118e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20586   1.000  0.146 -0.038  0.079  0.013
-        2  0.60362   0.146  1.000  0.470 -0.322  0.558
-        3  0.95992  -0.038  0.470  1.000 -0.892  0.924
-        4  0.90004   0.079 -0.322 -0.892  1.000 -0.796
-        5  0.93542   0.013  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM HESSE     STATUS=OK             31 CALLS         308 TOTAL
-                     EDM=4.34749e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.23300e-01   1.23254e-04   9.13107e-02
-   2  sg_p1        3.47719e+00   1.27818e-01   1.06712e-04  -2.64476e-01
-   3  sg_p2        2.67513e+02   8.27292e+00   1.53577e-04   5.44068e-01
-   4  sg_p3        3.42369e+01   4.16972e+00   2.18622e-04  -9.84235e-01
-   5  sg_p4        6.40026e-01   4.75240e-02   7.40799e-04  -4.55485e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.233e-03 -4.363e-02  4.203e-02  3.794e-05 
-  2.233e-03  1.636e-02  5.114e-01 -1.832e-01  3.471e-03 
- -4.363e-02  5.114e-01  6.851e+01 -3.117e+01  3.687e-01 
-  4.203e-02 -1.832e-01 -3.117e+01  1.740e+01 -1.624e-01 
-  3.794e-05  3.471e-03  3.687e-01 -1.624e-01  2.293e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20660   1.000  0.142 -0.043  0.082  0.006
-        2  0.61186   0.142  1.000  0.483 -0.343  0.567
-        3  0.96369  -0.043  0.483  1.000 -0.903  0.930
-        4  0.90977   0.082 -0.343 -0.903  1.000 -0.813
-        5  0.94051   0.006  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.1233
-3.47719 +- 0.127818
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5643.26 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.61456e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -4.66447e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -2.40363e+01
-   4  sg_p3        1.17448e+02   2.90000e+01  -2.61968e-01   1.99273e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.86435e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=7.77109e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61021e+02   1.29098e-01   6.49909e-04  -1.01661e-02
-   2  sg_p1        3.57410e+00   1.33955e-01   2.78633e-03   8.71570e-03
-   3  sg_p2        2.69189e+02   7.27138e+00   7.50620e-04  -6.29806e-03
-   4  sg_p3        3.37078e+01   3.73722e+00   1.08346e-03   1.26302e-02
-   5  sg_p4        6.28095e-01   4.44728e-02   3.81722e-03   4.51572e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.658e-03 -2.984e-02  3.729e-02  1.239e-04 
-  2.658e-03  1.797e-02  4.694e-01 -1.655e-01  3.402e-03 
- -2.984e-02  4.694e-01  5.292e+01 -2.409e+01  2.999e-01 
-  3.729e-02 -1.655e-01 -2.409e+01  1.398e+01 -1.324e-01 
-  1.239e-04  3.402e-03  2.999e-01 -1.324e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21380   1.000  0.154 -0.032  0.077  0.021
-        2  0.61009   0.154  1.000  0.481 -0.330  0.567
-        3  0.95628  -0.032  0.481  1.000 -0.886  0.921
-        4  0.89342   0.077 -0.330 -0.886  1.000 -0.790
-        5  0.93183   0.021  0.567  0.921 -0.790  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM HESSE     STATUS=OK             31 CALLS         361 TOTAL
-                     EDM=7.78626e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61021e+02   1.29118e-01   1.29982e-04   1.02301e-01
-   2  sg_p1        3.57410e+00   1.35116e-01   1.11453e-04  -2.14592e-01
-   3  sg_p2        2.69189e+02   7.65572e+00   3.00248e-05   5.55561e-01
-   4  sg_p3        3.37078e+01   3.93737e+00   4.33384e-05  -9.90860e-01
-   5  sg_p4        6.28095e-01   4.63527e-02   1.52689e-04  -5.09360e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.595e-03 -3.703e-02  4.087e-02  8.376e-05 
-  2.595e-03  1.829e-02  5.123e-01 -1.882e-01  3.639e-03 
- -3.703e-02  5.123e-01  5.866e+01 -2.709e+01  3.317e-01 
-  4.087e-02 -1.882e-01 -2.709e+01  1.552e+01 -1.489e-01 
-  8.376e-05  3.639e-03  3.317e-01 -1.489e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21449   1.000  0.149 -0.037  0.080  0.014
-        2  0.61885   0.149  1.000  0.495 -0.353  0.576
-        3  0.96065  -0.037  0.495  1.000 -0.898  0.927
-        4  0.90455   0.080 -0.353 -0.898  1.000 -0.810
-        5  0.93751   0.014  0.576  0.927 -0.810  1.000
-260
-261.021 +- 0.129118
-3.5741 +- 0.135116
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5267.68 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -5.95437e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00   3.20402e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.99949e+01
-   4  sg_p3        1.11751e+02   2.90000e+01  -3.02882e-01  -4.35631e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.33332e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=1.65041e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60758e+02   1.21975e-01   5.95143e-04   1.08233e-01
-   2  sg_p1        3.44214e+00   1.23415e-01   2.58042e-03  -3.07927e-02
-   3  sg_p2        2.66886e+02   8.40621e+00   7.85904e-04  -8.91521e-02
-   4  sg_p3        3.45456e+01   4.21772e+00   1.11909e-03  -3.70390e-02
-   5  sg_p4        6.53607e-01   4.66834e-02   3.55052e-03   4.88918e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.239e-03 -3.126e-02  3.680e-02  1.101e-04 
-  2.239e-03  1.525e-02  4.727e-01 -1.617e-01  3.144e-03 
- -3.126e-02  4.727e-01  7.074e+01 -3.174e+01  3.661e-01 
-  3.680e-02 -1.617e-01 -3.174e+01  1.781e+01 -1.585e-01 
-  1.101e-04  3.144e-03  3.661e-01 -1.585e-01  2.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20236   1.000  0.149 -0.030  0.072  0.019
-        2  0.58940   0.149  1.000  0.455 -0.310  0.542
-        3  0.96112  -0.030  0.455  1.000 -0.894  0.926
-        4  0.90222   0.072 -0.310 -0.894  1.000 -0.799
-        5  0.93659   0.019  0.542  0.926 -0.799  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.76189e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60758e+02   1.21991e-01   1.19029e-04   7.59045e-02
-   2  sg_p1        3.44214e+00   1.24473e-01   5.16084e-04  -2.82680e-01
-   3  sg_p2        2.66886e+02   8.89789e+00   1.57181e-04   5.39785e-01
-   4  sg_p3        3.45456e+01   4.46620e+00   4.47638e-05  -9.80400e-01
-   5  sg_p4        6.53607e-01   4.88967e-02   1.42021e-04  -3.95830e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.186e-03 -3.913e-02  4.064e-02  6.994e-05 
-  2.186e-03  1.552e-02  5.207e-01 -1.864e-01  3.386e-03 
- -3.913e-02  5.207e-01  7.927e+01 -3.606e+01  4.092e-01 
-  4.064e-02 -1.864e-01 -3.606e+01  1.997e+01 -1.803e-01 
-  6.994e-05  3.386e-03  4.092e-01 -1.803e-01  2.428e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20297   1.000  0.144 -0.036  0.075  0.012
-        2  0.59871   0.144  1.000  0.470 -0.335  0.552
-        3  0.96537  -0.036  0.470  1.000 -0.906  0.933
-        4  0.91331   0.075 -0.335 -0.906  1.000 -0.819
-        5  0.94245   0.012  0.552  0.933 -0.819  1.000
-260
-260.758 +- 0.121991
-3.44214 +- 0.124473
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5338.33 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.92141e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -3.46913e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.94669e+01
-   4  sg_p3        1.15260e+02   2.90000e+01  -2.77623e-01   2.60024e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.53009e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=1.81993e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60953e+02   1.29425e-01   6.35842e-04   1.60007e-03
-   2  sg_p1        3.60691e+00   1.34289e-01   2.70753e-03   6.00340e-02
-   3  sg_p2        2.69933e+02   7.51981e+00   7.59887e-04   1.45220e-02
-   4  sg_p3        3.30610e+01   3.84505e+00   1.10949e-03  -7.50525e-02
-   5  sg_p4        6.55961e-01   4.53996e-02   3.52891e-03  -1.95435e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.675e-02  2.478e-03 -2.803e-02  3.713e-02  1.271e-04 
-  2.478e-03  1.806e-02  5.001e-01 -1.785e-01  3.521e-03 
- -2.803e-02  5.001e-01  5.660e+01 -2.561e+01  3.175e-01 
-  3.713e-02 -1.785e-01 -2.561e+01  1.480e+01 -1.399e-01 
-  1.271e-04  3.521e-03  3.175e-01 -1.399e-01  2.088e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20432   1.000  0.142 -0.029  0.075  0.021
-        2  0.61219   0.142  1.000  0.495 -0.345  0.573
-        3  0.95634  -0.029  0.495  1.000 -0.885  0.924
-        4  0.89204   0.075 -0.345 -0.885  1.000 -0.796
-        5  0.93370   0.021  0.573  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=1.90259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60953e+02   1.29442e-01   1.27168e-04   9.54629e-02
-   2  sg_p1        3.60691e+00   1.35689e-01   5.41506e-04  -1.97834e-01
-   3  sg_p2        2.69933e+02   7.93967e+00   3.03955e-05   5.60690e-01
-   4  sg_p3        3.30610e+01   4.05992e+00   4.43797e-05  -9.99053e-01
-   5  sg_p4        6.55961e-01   4.74783e-02   7.05783e-04  -3.85646e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.676e-02  2.413e-03 -3.514e-02  4.064e-02  8.764e-05 
-  2.413e-03  1.844e-02  5.501e-01 -2.046e-01  3.797e-03 
- -3.514e-02  5.501e-01  6.310e+01 -2.896e+01  3.534e-01 
-  4.064e-02 -2.046e-01 -2.896e+01  1.650e+01 -1.584e-01 
-  8.764e-05  3.797e-03  3.534e-01 -1.584e-01  2.286e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20493   1.000  0.137 -0.034  0.077  0.014
-        2  0.62260   0.137  1.000  0.510 -0.371  0.585
-        3  0.96093  -0.034  0.510  1.000 -0.897  0.930
-        4  0.90377   0.077 -0.371 -0.897  1.000 -0.816
-        5  0.93964   0.014  0.585  0.930 -0.816  1.000
-260
-260.953 +- 0.129442
-3.60691 +- 0.135689
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5550.93 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.28869e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.53562e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.85127e+01
-   4  sg_p3        1.16923e+02   2.90000e+01  -2.65719e-01   3.07224e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51841e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM MIGRAD    STATUS=CONVERGED     274 CALLS         275 TOTAL
-                     EDM=7.69222e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60915e+02   1.19244e-01   5.95259e-04   2.60414e-02
-   2  sg_p1        3.41319e+00   1.20663e-01   2.58530e-03   3.23980e-02
-   3  sg_p2        2.68923e+02   7.42025e+00   7.74450e-04   1.02102e-01
-   4  sg_p3        3.38737e+01   3.84818e+00   1.11926e-03   3.14690e-01
-   5  sg_p4        6.51986e-01   4.29286e-02   3.53695e-03   3.46225e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.303e-03 -1.721e-02  2.984e-02  1.633e-04 
-  2.303e-03  1.458e-02  4.143e-01 -1.451e-01  2.850e-03 
- -1.721e-02  4.143e-01  5.511e+01 -2.526e+01  2.945e-01 
-  2.984e-02 -1.451e-01 -2.526e+01  1.482e+01 -1.311e-01 
-  1.633e-04  2.850e-03  2.945e-01 -1.311e-01  1.865e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20941   1.000  0.160 -0.019  0.065  0.032
-        2  0.59245   0.160  1.000  0.462 -0.312  0.547
-        3  0.95480  -0.019  0.462  1.000 -0.884  0.919
-        4  0.89128   0.065 -0.312 -0.884  1.000 -0.789
-        5  0.92953   0.032  0.547  0.919 -0.789  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM HESSE     STATUS=OK             31 CALLS         306 TOTAL
-                     EDM=7.77868e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60915e+02   1.19248e-01   1.19052e-04   9.16025e-02
-   2  sg_p1        3.41319e+00   1.21507e-01   5.17060e-04  -2.97787e-01
-   3  sg_p2        2.68923e+02   7.75724e+00   1.54890e-04   5.53729e-01
-   4  sg_p3        3.38737e+01   4.02350e+00   2.23853e-04  -9.88776e-01
-   5  sg_p4        6.51986e-01   4.45034e-02   7.07389e-04  -4.02868e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.266e-03 -2.167e-02  3.206e-02  1.398e-04 
-  2.266e-03  1.478e-02  4.471e-01 -1.625e-01  3.022e-03 
- -2.167e-02  4.471e-01  6.023e+01 -2.794e+01  3.214e-01 
-  3.206e-02 -1.625e-01 -2.794e+01  1.620e+01 -1.452e-01 
-  1.398e-04  3.022e-03  3.214e-01 -1.452e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20954   1.000  0.156 -0.023  0.067  0.026
-        2  0.60000   0.156  1.000  0.474 -0.332  0.555
-        3  0.95873  -0.023  0.474  1.000 -0.894  0.925
-        4  0.90107   0.067 -0.332 -0.894  1.000 -0.805
-        5  0.93466   0.026  0.555  0.925 -0.805  1.000
-260
-260.915 +- 0.119248
-3.41319 +- 0.121507
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5158.41 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.61967e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.61061e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.77731e+01
-   4  sg_p3        1.15981e+02   2.90000e+01  -2.72457e-01   3.15087e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.44973e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM MIGRAD    STATUS=CONVERGED     308 CALLS         309 TOTAL
-                     EDM=5.20485e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.27328e-01   6.14172e-04  -1.42304e-01
-   2  sg_p1        3.47672e+00   1.30824e-01   2.65500e-03  -1.69927e-02
-   3  sg_p2        2.67457e+02   8.15515e+00   7.65940e-04  -5.24312e-02
-   4  sg_p3        3.41797e+01   4.10175e+00   1.09416e-03  -2.88607e-03
-   5  sg_p4        6.41502e-01   4.72632e-02   3.67010e-03   1.46000e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.621e-02  2.418e-03 -4.005e-02  4.151e-02  7.448e-05 
-  2.418e-03  1.714e-02  5.016e-01 -1.724e-01  3.472e-03 
- -4.005e-02  5.016e-01  6.658e+01 -2.986e+01  3.591e-01 
-  4.151e-02 -1.724e-01 -2.986e+01  1.684e+01 -1.554e-01 
-  7.448e-05  3.472e-03  3.591e-01 -1.554e-01  2.267e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20516   1.000  0.145 -0.039  0.079  0.012
-        2  0.60288   0.145  1.000  0.470 -0.321  0.557
-        3  0.95995  -0.039  0.470  1.000 -0.892  0.924
-        4  0.89989   0.079 -0.321 -0.892  1.000 -0.795
-        5  0.93542   0.012  0.557  0.924 -0.795  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM HESSE     STATUS=OK             31 CALLS         340 TOTAL
-                     EDM=5.2061e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.27350e-01   1.22834e-04   9.13271e-02
-   2  sg_p1        3.47672e+00   1.31905e-01   5.30999e-04  -2.64719e-01
-   3  sg_p2        2.67457e+02   8.59468e+00   1.53188e-04   5.43682e-01
-   4  sg_p3        3.41797e+01   4.32549e+00   4.37665e-05  -9.84949e-01
-   5  sg_p4        6.41502e-01   4.93072e-02   1.46804e-04  -4.48919e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.622e-02  2.353e-03 -4.855e-02  4.568e-02  2.931e-05 
-  2.353e-03  1.743e-02  5.482e-01 -1.965e-01  3.716e-03 
- -4.855e-02  5.482e-01  7.395e+01 -3.362e+01  3.979e-01 
-  4.568e-02 -1.965e-01 -3.362e+01  1.873e+01 -1.751e-01 
-  2.931e-05  3.716e-03  3.979e-01 -1.751e-01  2.471e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20598   1.000  0.140 -0.044  0.083  0.005
-        2  0.61146   0.140  1.000  0.483 -0.344  0.566
-        3  0.96402  -0.044  0.483  1.000 -0.903  0.931
-        4  0.91049   0.083 -0.344 -0.903  1.000 -0.814
-        5  0.94091   0.005  0.566  0.931 -0.814  1.000
-260
-260.912 +- 0.12735
-3.47672 +- 0.131905
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5919.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.57817e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -2.03212e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.98859e+01
-   4  sg_p3        1.17412e+02   2.90000e+01  -2.62219e-01   4.12643e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.69751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=2.6578e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.19425e-01   6.16849e-04  -2.18136e-01
-   2  sg_p1        3.47734e+00   1.22978e-01   2.67008e-03  -4.00164e-03
-   3  sg_p2        2.67522e+02   7.63977e+00   7.68027e-04   8.93806e-02
-   4  sg_p3        3.43314e+01   3.85522e+00   1.09374e-03   1.59575e-01
-   5  sg_p4        6.38280e-01   4.42553e-02   3.71607e-03  -5.05369e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.426e-02  2.165e-03 -3.368e-02  3.602e-02  7.485e-05 
-  2.165e-03  1.514e-02  4.429e-01 -1.530e-01  3.060e-03 
- -3.368e-02  4.429e-01  5.842e+01 -2.630e+01  3.147e-01 
-  3.602e-02 -1.530e-01 -2.630e+01  1.487e+01 -1.367e-01 
-  7.485e-05  3.060e-03  3.147e-01 -1.367e-01  1.985e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20661   1.000  0.147 -0.037  0.078  0.014
-        2  0.60439   0.147  1.000  0.471 -0.322  0.558
-        3  0.95995  -0.037  0.471  1.000 -0.892  0.924
-        4  0.90013   0.078 -0.322 -0.892  1.000 -0.796
-        5  0.93549   0.014  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=2.80959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.19444e-01   1.23370e-04   9.13304e-02
-   2  sg_p1        3.47734e+00   1.23908e-01   1.06803e-04  -2.64402e-01
-   3  sg_p2        2.67522e+02   8.01092e+00   1.53605e-04   5.44131e-01
-   4  sg_p3        3.43314e+01   4.04488e+00   2.18748e-04  -9.83058e-01
-   5  sg_p4        6.38280e-01   4.59835e-02   1.48643e-04  -4.63274e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.427e-02  2.115e-03 -4.024e-02  3.926e-02  4.011e-05 
-  2.115e-03  1.537e-02  4.799e-01 -1.722e-01  3.254e-03 
- -4.024e-02  4.799e-01  6.424e+01 -2.927e+01  3.453e-01 
-  3.926e-02 -1.722e-01 -2.927e+01  1.637e+01 -1.524e-01 
-  4.011e-05  3.254e-03  3.453e-01 -1.524e-01  2.145e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20733   1.000  0.143 -0.042  0.081  0.007
-        2  0.61221   0.143  1.000  0.483 -0.343  0.567
-        3  0.96365  -0.042  0.483  1.000 -0.903  0.930
-        4  0.90974   0.081 -0.343 -0.903  1.000 -0.813
-        5  0.94046   0.007  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.119444
-3.47734 +- 0.123908
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 260.912 +- 0.1233 (stat) - 0.153523 + 0.10939 (syst); -0.165439/+0.125566 (total)
-   Uncertainty on sg_p1 = 3.47719 +- 0.127818 (stat) - 0.064005 + 0.129714 (syst); -0.0904489/+0.144603 (total)
-   Uncertainty on sg_p2 = 267.513 +- 8.27292 (stat) - 0.627396 + 2.41961 (syst); -4.18377/+4.79216 (total)
-   Uncertainty on sg_p3 = 34.2369 +- 4.16972 (stat) - 1.17594 + 0.308663 (syst); -2.39363/+2.10758 (total)
-   Uncertainty on sg_p4 = 0.640026 +- 0.047524 (stat) - 0.0119301 + 0.0159351 (syst); -0.0265887/+0.0286105 (total) 
-   === Baseline plot === </br>
-   norm = 191.924
-JEC     lnN   1.01807  -
-JER     lnN   1.02103  -
-btag    lnN   1.06823  -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt
deleted file mode 100644
index c723563..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  191.924 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06823    -
-JER       lnN     1.02103   - 
-JEC       lnN     1.01807   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01504940545   -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/pdf.log
deleted file mode 100644
index d74576e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=7.89989 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=5.9771e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.98474e+01   2.50075e+00   3.01290e-03  -1.61476e-05
-   2  Mean         1.00154e+00   1.72384e-03   2.41798e-06   3.32702e-02
-   3  Sigma        1.50494e-02   1.19888e-03   3.07932e-05   1.91423e-03
-1.00153706947 +/- 0.00172384303603
-0.0150494054533 +/- 0.00119888063503
-PDF lnN 1.01504940545
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/signal260_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/signal260_sig.log
deleted file mode 100644
index 13dd83d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_260_gaus_exp_252_330/signal260_sig.log
+++ /dev/null
@@ -1,842 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7249.56 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -3.41934e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -9.44540e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.87170e+02
-   4  sg_p3        5.54385e+01   2.90000e+01  -7.56845e-01  -4.27472e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.11620e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM MIGRAD    STATUS=CONVERGED     183 CALLS         184 TOTAL
-                     EDM=2.26284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.54307e+02   4.46691e-01   1.29592e-03   1.21370e-02
-   2  sg_p1        1.55513e+01   3.65330e-01   1.72918e-03  -4.57555e-02
-   3  sg_p2        3.13992e+02   1.11306e+01   1.54612e-03   9.59972e-03
-   4  sg_p3        7.00767e+01   6.24766e+00   2.56609e-03   1.76365e-03
-   5  sg_p4        9.03546e-01   1.22165e-02   2.78748e-03  -5.41093e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.996e-01  3.046e-02  3.316e-01  2.128e-01  9.423e-04 
-  3.046e-02  1.335e-01  1.073e+00 -6.884e-02  1.627e-03 
-  3.316e-01  1.073e+00  1.240e+02 -3.745e+01  8.007e-02 
-  2.128e-01 -6.884e-02 -3.745e+01  3.907e+01 -1.718e-02 
-  9.423e-04  1.627e-03  8.007e-02 -1.718e-02  1.494e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24437   1.000  0.187  0.067  0.076  0.173
-        2  0.40012   0.187  1.000  0.264 -0.030  0.364
-        3  0.72503   0.067  0.264  1.000 -0.538  0.588
-        4  0.56339   0.076 -0.030 -0.538  1.000 -0.225
-        5  0.63827   0.173  0.364  0.588 -0.225  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM HESSE     STATUS=OK             31 CALLS         215 TOTAL
-                     EDM=2.25533e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.54307e+02   4.46615e-01   2.59185e-04   2.17043e-01
-   2  sg_p1        1.55513e+01   3.65352e-01   3.45837e-04   1.79332e-01
-   3  sg_p2        3.13992e+02   1.12246e+01   6.18447e-05   4.82680e-02
-   4  sg_p3        7.00767e+01   6.29870e+00   1.02643e-04  -6.25716e-01
-   5  sg_p4        9.03546e-01   1.22468e-02   1.11499e-04   6.61353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.995e-01  3.031e-02  3.258e-01  2.130e-01  9.376e-04 
-  3.031e-02  1.335e-01  1.084e+00 -7.870e-02  1.633e-03 
-  3.258e-01  1.084e+00  1.261e+02 -3.883e+01  8.134e-02 
-  2.130e-01 -7.870e-02 -3.883e+01  3.971e+01 -1.806e-02 
-  9.376e-04  1.633e-03  8.134e-02 -1.806e-02  1.502e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24371   1.000  0.186  0.065  0.076  0.171
-        2  0.40024   0.186  1.000  0.264 -0.034  0.365
-        3  0.73047   0.065  0.264  1.000 -0.549  0.591
-        4  0.57308   0.076 -0.034 -0.549  1.000 -0.234
-        5  0.64057   0.171  0.365  0.591 -0.234  1.000
-260
-254.307 +- 0.446615
-15.5513 +- 0.365352
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7365.44 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -5.31672e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -1.29968e+02
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.18090e+02
-   4  sg_p3        7.02234e+01   2.90000e+01  -6.24469e-01   3.04411e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.01446e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM MIGRAD    STATUS=CONVERGED     193 CALLS         194 TOTAL
-                     EDM=9.01413e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.56005e+02   4.49108e-01   1.34491e-03  -5.08347e-03
-   2  sg_p1        1.58159e+01   3.69974e-01   1.76393e-03  -5.10762e-02
-   3  sg_p2        3.20358e+02   1.45835e+01   1.97066e-03   3.38124e-02
-   4  sg_p3        8.43702e+01   8.25437e+00   3.00025e-03   1.43647e-02
-   5  sg_p4        9.08830e-01   1.15488e-02   2.75207e-03  -4.16137e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.033e-02  4.244e-01  2.172e-01  8.632e-04 
-  3.033e-02  1.369e-01  1.451e+00 -1.530e-01  1.573e-03 
-  4.244e-01  1.451e+00  2.129e+02 -7.227e+01  9.550e-02 
-  2.172e-01 -1.530e-01 -7.227e+01  6.823e+01 -2.243e-02 
-  8.632e-04  1.573e-03  9.550e-02 -2.243e-02  1.335e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23216   1.000  0.182  0.065  0.059  0.166
-        2  0.40488   0.182  1.000  0.269 -0.050  0.368
-        3  0.74731   0.065  0.269  1.000 -0.600  0.566
-        4  0.62245   0.059 -0.050 -0.600  1.000 -0.235
-        5  0.62271   0.166  0.368  0.566 -0.235  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM HESSE     STATUS=OK             31 CALLS         225 TOTAL
-                     EDM=9.02546e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.56005e+02   4.49038e-01   5.37964e-05   3.04976e-01
-   2  sg_p1        1.58159e+01   3.70057e-01   3.52786e-04   2.02768e-01
-   3  sg_p2        3.20358e+02   1.47403e+01   3.94131e-04   7.02587e-02
-   4  sg_p3        8.43702e+01   8.34145e+00   1.20010e-04  -5.08769e-01
-   5  sg_p4        9.08830e-01   1.15806e-02   5.50414e-04   6.88425e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.017e-02  4.192e-01  2.171e-01  8.603e-04 
-  3.017e-02  1.370e-01  1.472e+00 -1.690e-01  1.581e-03 
-  4.192e-01  1.472e+00  2.175e+02 -7.517e+01  9.735e-02 
-  2.171e-01 -1.690e-01 -7.517e+01  6.968e+01 -2.367e-02 
-  8.603e-04  1.581e-03  9.735e-02 -2.367e-02  1.343e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23152   1.000  0.182  0.063  0.058  0.165
-        2  0.40534   0.182  1.000  0.270 -0.055  0.369
-        3  0.75354   0.063  0.270  1.000 -0.611  0.570
-        4  0.63259   0.058 -0.055 -0.611  1.000 -0.245
-        5  0.62540   0.165  0.369  0.570 -0.245  1.000
-260
-256.005 +- 0.449038
-15.8159 +- 0.370057
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7023.18 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -2.24645e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -8.46385e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.26204e+02
-   4  sg_p3        6.83932e+01   2.90000e+01  -6.40116e-01   1.32344e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.30920e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=1.6519e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.53020e+02   4.42659e-01   1.26031e-03   3.88378e-02
-   2  sg_p1        1.54031e+01   3.53863e-01   1.68006e-03  -8.87814e-02
-   3  sg_p2        3.18681e+02   1.25359e+01   1.70808e-03   3.37307e-03
-   4  sg_p3        7.61417e+01   7.12298e+00   2.70731e-03  -4.47116e-02
-   5  sg_p4        9.04717e-01   1.16729e-02   2.71701e-03  -2.80475e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.960e-01  2.470e-02  3.794e-01  1.447e-01  7.850e-04 
-  2.470e-02  1.253e-01  1.069e+00 -1.360e-01  1.312e-03 
-  3.794e-01  1.069e+00  1.572e+02 -5.206e+01  8.352e-02 
-  1.447e-01 -1.360e-01 -5.206e+01  5.079e+01 -2.199e-02 
-  7.850e-04  1.312e-03  8.352e-02 -2.199e-02  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20982   1.000  0.158  0.068  0.046  0.152
-        2  0.35244   0.158  1.000  0.241 -0.054  0.317
-        3  0.72927   0.068  0.241  1.000 -0.582  0.570
-        4  0.59651   0.046 -0.054 -0.582  1.000 -0.264
-        5  0.60854   0.152  0.317  0.570 -0.264  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM HESSE     STATUS=OK             31 CALLS         213 TOTAL
-                     EDM=1.65128e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.53020e+02   4.42602e-01   2.52062e-04   1.51594e-01
-   2  sg_p1        1.54031e+01   3.53933e-01   3.36012e-04   1.66253e-01
-   3  sg_p2        3.18681e+02   1.26590e+01   6.83233e-05   6.44624e-02
-   4  sg_p3        7.61417e+01   7.19114e+00   1.08292e-04  -5.75018e-01
-   5  sg_p4        9.04717e-01   1.17079e-02   5.43402e-04   6.67300e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.959e-01  2.459e-02  3.764e-01  1.438e-01  7.830e-04 
-  2.459e-02  1.253e-01  1.084e+00 -1.475e-01  1.320e-03 
-  3.764e-01  1.084e+00  1.604e+02 -5.404e+01  8.512e-02 
-  1.438e-01 -1.475e-01 -5.404e+01  5.177e+01 -2.306e-02 
-  7.830e-04  1.320e-03  8.512e-02 -2.306e-02  1.372e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20923   1.000  0.157  0.067  0.045  0.151
-        2  0.35293   0.157  1.000  0.242 -0.058  0.318
-        3  0.73547   0.067  0.242  1.000 -0.593  0.574
-        4  0.60661   0.045 -0.058 -0.593  1.000 -0.274
-        5  0.61162   0.151  0.318  0.574 -0.274  1.000
-260
-253.02 +- 0.442602
-15.4031 +- 0.353933
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5529.06 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.09302e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.84754e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.60258e+01
-   4  sg_p3        1.19103e+02   2.90000e+01  -2.50167e-01   6.51588e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55737e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM MIGRAD    STATUS=CONVERGED     276 CALLS         277 TOTAL
-                     EDM=4.33865e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.23280e-01   6.16272e-04  -2.78767e-01
-   2  sg_p1        3.47719e+00   1.26808e-01   2.66781e-03  -6.03093e-03
-   3  sg_p2        2.67513e+02   7.88309e+00   7.67886e-04  -3.32533e-01
-   4  sg_p3        3.42369e+01   3.97181e+00   1.09311e-03  -2.13224e-01
-   5  sg_p4        6.40026e-01   4.56991e-02   3.70400e-03   4.78364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.286e-03 -3.667e-02  3.860e-02  7.477e-05 
-  2.286e-03  1.610e-02  4.707e-01 -1.623e-01  3.257e-03 
- -3.667e-02  4.707e-01  6.220e+01 -2.796e+01  3.355e-01 
-  3.860e-02 -1.623e-01 -2.796e+01  1.579e+01 -1.455e-01 
-  7.477e-05  3.257e-03  3.355e-01 -1.455e-01  2.118e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20586   1.000  0.146 -0.038  0.079  0.013
-        2  0.60362   0.146  1.000  0.470 -0.322  0.558
-        3  0.95992  -0.038  0.470  1.000 -0.892  0.924
-        4  0.90004   0.079 -0.322 -0.892  1.000 -0.796
-        5  0.93542   0.013  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM HESSE     STATUS=OK             31 CALLS         308 TOTAL
-                     EDM=4.34749e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.23300e-01   1.23254e-04   9.13107e-02
-   2  sg_p1        3.47719e+00   1.27818e-01   1.06712e-04  -2.64476e-01
-   3  sg_p2        2.67513e+02   8.27292e+00   1.53577e-04   5.44068e-01
-   4  sg_p3        3.42369e+01   4.16972e+00   2.18622e-04  -9.84235e-01
-   5  sg_p4        6.40026e-01   4.75240e-02   7.40799e-04  -4.55485e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.233e-03 -4.363e-02  4.203e-02  3.794e-05 
-  2.233e-03  1.636e-02  5.114e-01 -1.832e-01  3.471e-03 
- -4.363e-02  5.114e-01  6.851e+01 -3.117e+01  3.687e-01 
-  4.203e-02 -1.832e-01 -3.117e+01  1.740e+01 -1.624e-01 
-  3.794e-05  3.471e-03  3.687e-01 -1.624e-01  2.293e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20660   1.000  0.142 -0.043  0.082  0.006
-        2  0.61186   0.142  1.000  0.483 -0.343  0.567
-        3  0.96369  -0.043  0.483  1.000 -0.903  0.930
-        4  0.90977   0.082 -0.343 -0.903  1.000 -0.813
-        5  0.94051   0.006  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.1233
-3.47719 +- 0.127818
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5643.26 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.61456e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -4.66447e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -2.40363e+01
-   4  sg_p3        1.17448e+02   2.90000e+01  -2.61968e-01   1.99273e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.86435e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=7.77109e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61021e+02   1.29098e-01   6.49909e-04  -1.01661e-02
-   2  sg_p1        3.57410e+00   1.33955e-01   2.78633e-03   8.71570e-03
-   3  sg_p2        2.69189e+02   7.27138e+00   7.50620e-04  -6.29806e-03
-   4  sg_p3        3.37078e+01   3.73722e+00   1.08346e-03   1.26302e-02
-   5  sg_p4        6.28095e-01   4.44728e-02   3.81722e-03   4.51572e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.658e-03 -2.984e-02  3.729e-02  1.239e-04 
-  2.658e-03  1.797e-02  4.694e-01 -1.655e-01  3.402e-03 
- -2.984e-02  4.694e-01  5.292e+01 -2.409e+01  2.999e-01 
-  3.729e-02 -1.655e-01 -2.409e+01  1.398e+01 -1.324e-01 
-  1.239e-04  3.402e-03  2.999e-01 -1.324e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21380   1.000  0.154 -0.032  0.077  0.021
-        2  0.61009   0.154  1.000  0.481 -0.330  0.567
-        3  0.95628  -0.032  0.481  1.000 -0.886  0.921
-        4  0.89342   0.077 -0.330 -0.886  1.000 -0.790
-        5  0.93183   0.021  0.567  0.921 -0.790  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM HESSE     STATUS=OK             31 CALLS         361 TOTAL
-                     EDM=7.78626e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61021e+02   1.29118e-01   1.29982e-04   1.02301e-01
-   2  sg_p1        3.57410e+00   1.35116e-01   1.11453e-04  -2.14592e-01
-   3  sg_p2        2.69189e+02   7.65572e+00   3.00248e-05   5.55561e-01
-   4  sg_p3        3.37078e+01   3.93737e+00   4.33384e-05  -9.90860e-01
-   5  sg_p4        6.28095e-01   4.63527e-02   1.52689e-04  -5.09360e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.595e-03 -3.703e-02  4.087e-02  8.376e-05 
-  2.595e-03  1.829e-02  5.123e-01 -1.882e-01  3.639e-03 
- -3.703e-02  5.123e-01  5.866e+01 -2.709e+01  3.317e-01 
-  4.087e-02 -1.882e-01 -2.709e+01  1.552e+01 -1.489e-01 
-  8.376e-05  3.639e-03  3.317e-01 -1.489e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21449   1.000  0.149 -0.037  0.080  0.014
-        2  0.61885   0.149  1.000  0.495 -0.353  0.576
-        3  0.96065  -0.037  0.495  1.000 -0.898  0.927
-        4  0.90455   0.080 -0.353 -0.898  1.000 -0.810
-        5  0.93751   0.014  0.576  0.927 -0.810  1.000
-260
-261.021 +- 0.129118
-3.5741 +- 0.135116
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5267.68 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -5.95437e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00   3.20402e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.99949e+01
-   4  sg_p3        1.11751e+02   2.90000e+01  -3.02882e-01  -4.35631e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.33332e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=1.65041e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60758e+02   1.21975e-01   5.95143e-04   1.08233e-01
-   2  sg_p1        3.44214e+00   1.23415e-01   2.58042e-03  -3.07927e-02
-   3  sg_p2        2.66886e+02   8.40621e+00   7.85904e-04  -8.91521e-02
-   4  sg_p3        3.45456e+01   4.21772e+00   1.11909e-03  -3.70390e-02
-   5  sg_p4        6.53607e-01   4.66834e-02   3.55052e-03   4.88918e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.239e-03 -3.126e-02  3.680e-02  1.101e-04 
-  2.239e-03  1.525e-02  4.727e-01 -1.617e-01  3.144e-03 
- -3.126e-02  4.727e-01  7.074e+01 -3.174e+01  3.661e-01 
-  3.680e-02 -1.617e-01 -3.174e+01  1.781e+01 -1.585e-01 
-  1.101e-04  3.144e-03  3.661e-01 -1.585e-01  2.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20236   1.000  0.149 -0.030  0.072  0.019
-        2  0.58940   0.149  1.000  0.455 -0.310  0.542
-        3  0.96112  -0.030  0.455  1.000 -0.894  0.926
-        4  0.90222   0.072 -0.310 -0.894  1.000 -0.799
-        5  0.93659   0.019  0.542  0.926 -0.799  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.76189e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60758e+02   1.21991e-01   1.19029e-04   7.59045e-02
-   2  sg_p1        3.44214e+00   1.24473e-01   5.16084e-04  -2.82680e-01
-   3  sg_p2        2.66886e+02   8.89789e+00   1.57181e-04   5.39785e-01
-   4  sg_p3        3.45456e+01   4.46620e+00   4.47638e-05  -9.80400e-01
-   5  sg_p4        6.53607e-01   4.88967e-02   1.42021e-04  -3.95830e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.186e-03 -3.913e-02  4.064e-02  6.994e-05 
-  2.186e-03  1.552e-02  5.207e-01 -1.864e-01  3.386e-03 
- -3.913e-02  5.207e-01  7.927e+01 -3.606e+01  4.092e-01 
-  4.064e-02 -1.864e-01 -3.606e+01  1.997e+01 -1.803e-01 
-  6.994e-05  3.386e-03  4.092e-01 -1.803e-01  2.428e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20297   1.000  0.144 -0.036  0.075  0.012
-        2  0.59871   0.144  1.000  0.470 -0.335  0.552
-        3  0.96537  -0.036  0.470  1.000 -0.906  0.933
-        4  0.91331   0.075 -0.335 -0.906  1.000 -0.819
-        5  0.94245   0.012  0.552  0.933 -0.819  1.000
-260
-260.758 +- 0.121991
-3.44214 +- 0.124473
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5338.33 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.92141e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -3.46913e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.94669e+01
-   4  sg_p3        1.15260e+02   2.90000e+01  -2.77623e-01   2.60024e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.53009e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=1.81993e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60953e+02   1.29425e-01   6.35842e-04   1.60007e-03
-   2  sg_p1        3.60691e+00   1.34289e-01   2.70753e-03   6.00340e-02
-   3  sg_p2        2.69933e+02   7.51981e+00   7.59887e-04   1.45220e-02
-   4  sg_p3        3.30610e+01   3.84505e+00   1.10949e-03  -7.50525e-02
-   5  sg_p4        6.55961e-01   4.53996e-02   3.52891e-03  -1.95435e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.675e-02  2.478e-03 -2.803e-02  3.713e-02  1.271e-04 
-  2.478e-03  1.806e-02  5.001e-01 -1.785e-01  3.521e-03 
- -2.803e-02  5.001e-01  5.660e+01 -2.561e+01  3.175e-01 
-  3.713e-02 -1.785e-01 -2.561e+01  1.480e+01 -1.399e-01 
-  1.271e-04  3.521e-03  3.175e-01 -1.399e-01  2.088e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20432   1.000  0.142 -0.029  0.075  0.021
-        2  0.61219   0.142  1.000  0.495 -0.345  0.573
-        3  0.95634  -0.029  0.495  1.000 -0.885  0.924
-        4  0.89204   0.075 -0.345 -0.885  1.000 -0.796
-        5  0.93370   0.021  0.573  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=1.90259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60953e+02   1.29442e-01   1.27168e-04   9.54629e-02
-   2  sg_p1        3.60691e+00   1.35689e-01   5.41506e-04  -1.97834e-01
-   3  sg_p2        2.69933e+02   7.93967e+00   3.03955e-05   5.60690e-01
-   4  sg_p3        3.30610e+01   4.05992e+00   4.43797e-05  -9.99053e-01
-   5  sg_p4        6.55961e-01   4.74783e-02   7.05783e-04  -3.85646e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.676e-02  2.413e-03 -3.514e-02  4.064e-02  8.764e-05 
-  2.413e-03  1.844e-02  5.501e-01 -2.046e-01  3.797e-03 
- -3.514e-02  5.501e-01  6.310e+01 -2.896e+01  3.534e-01 
-  4.064e-02 -2.046e-01 -2.896e+01  1.650e+01 -1.584e-01 
-  8.764e-05  3.797e-03  3.534e-01 -1.584e-01  2.286e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20493   1.000  0.137 -0.034  0.077  0.014
-        2  0.62260   0.137  1.000  0.510 -0.371  0.585
-        3  0.96093  -0.034  0.510  1.000 -0.897  0.930
-        4  0.90377   0.077 -0.371 -0.897  1.000 -0.816
-        5  0.93964   0.014  0.585  0.930 -0.816  1.000
-260
-260.953 +- 0.129442
-3.60691 +- 0.135689
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5550.93 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.28869e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.53562e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.85127e+01
-   4  sg_p3        1.16923e+02   2.90000e+01  -2.65719e-01   3.07224e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51841e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM MIGRAD    STATUS=CONVERGED     274 CALLS         275 TOTAL
-                     EDM=7.69222e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60915e+02   1.19244e-01   5.95259e-04   2.60414e-02
-   2  sg_p1        3.41319e+00   1.20663e-01   2.58530e-03   3.23980e-02
-   3  sg_p2        2.68923e+02   7.42025e+00   7.74450e-04   1.02102e-01
-   4  sg_p3        3.38737e+01   3.84818e+00   1.11926e-03   3.14690e-01
-   5  sg_p4        6.51986e-01   4.29286e-02   3.53695e-03   3.46225e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.303e-03 -1.721e-02  2.984e-02  1.633e-04 
-  2.303e-03  1.458e-02  4.143e-01 -1.451e-01  2.850e-03 
- -1.721e-02  4.143e-01  5.511e+01 -2.526e+01  2.945e-01 
-  2.984e-02 -1.451e-01 -2.526e+01  1.482e+01 -1.311e-01 
-  1.633e-04  2.850e-03  2.945e-01 -1.311e-01  1.865e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20941   1.000  0.160 -0.019  0.065  0.032
-        2  0.59245   0.160  1.000  0.462 -0.312  0.547
-        3  0.95480  -0.019  0.462  1.000 -0.884  0.919
-        4  0.89128   0.065 -0.312 -0.884  1.000 -0.789
-        5  0.92953   0.032  0.547  0.919 -0.789  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM HESSE     STATUS=OK             31 CALLS         306 TOTAL
-                     EDM=7.77868e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60915e+02   1.19248e-01   1.19052e-04   9.16025e-02
-   2  sg_p1        3.41319e+00   1.21507e-01   5.17060e-04  -2.97787e-01
-   3  sg_p2        2.68923e+02   7.75724e+00   1.54890e-04   5.53729e-01
-   4  sg_p3        3.38737e+01   4.02350e+00   2.23853e-04  -9.88776e-01
-   5  sg_p4        6.51986e-01   4.45034e-02   7.07389e-04  -4.02868e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.266e-03 -2.167e-02  3.206e-02  1.398e-04 
-  2.266e-03  1.478e-02  4.471e-01 -1.625e-01  3.022e-03 
- -2.167e-02  4.471e-01  6.023e+01 -2.794e+01  3.214e-01 
-  3.206e-02 -1.625e-01 -2.794e+01  1.620e+01 -1.452e-01 
-  1.398e-04  3.022e-03  3.214e-01 -1.452e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20954   1.000  0.156 -0.023  0.067  0.026
-        2  0.60000   0.156  1.000  0.474 -0.332  0.555
-        3  0.95873  -0.023  0.474  1.000 -0.894  0.925
-        4  0.90107   0.067 -0.332 -0.894  1.000 -0.805
-        5  0.93466   0.026  0.555  0.925 -0.805  1.000
-260
-260.915 +- 0.119248
-3.41319 +- 0.121507
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5158.41 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.61967e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.61061e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.77731e+01
-   4  sg_p3        1.15981e+02   2.90000e+01  -2.72457e-01   3.15087e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.44973e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM MIGRAD    STATUS=CONVERGED     308 CALLS         309 TOTAL
-                     EDM=5.20485e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.27328e-01   6.14172e-04  -1.42304e-01
-   2  sg_p1        3.47672e+00   1.30824e-01   2.65500e-03  -1.69927e-02
-   3  sg_p2        2.67457e+02   8.15515e+00   7.65940e-04  -5.24312e-02
-   4  sg_p3        3.41797e+01   4.10175e+00   1.09416e-03  -2.88607e-03
-   5  sg_p4        6.41502e-01   4.72632e-02   3.67010e-03   1.46000e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.621e-02  2.418e-03 -4.005e-02  4.151e-02  7.448e-05 
-  2.418e-03  1.714e-02  5.016e-01 -1.724e-01  3.472e-03 
- -4.005e-02  5.016e-01  6.658e+01 -2.986e+01  3.591e-01 
-  4.151e-02 -1.724e-01 -2.986e+01  1.684e+01 -1.554e-01 
-  7.448e-05  3.472e-03  3.591e-01 -1.554e-01  2.267e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20516   1.000  0.145 -0.039  0.079  0.012
-        2  0.60288   0.145  1.000  0.470 -0.321  0.557
-        3  0.95995  -0.039  0.470  1.000 -0.892  0.924
-        4  0.89989   0.079 -0.321 -0.892  1.000 -0.795
-        5  0.93542   0.012  0.557  0.924 -0.795  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM HESSE     STATUS=OK             31 CALLS         340 TOTAL
-                     EDM=5.2061e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.27350e-01   1.22834e-04   9.13271e-02
-   2  sg_p1        3.47672e+00   1.31905e-01   5.30999e-04  -2.64719e-01
-   3  sg_p2        2.67457e+02   8.59468e+00   1.53188e-04   5.43682e-01
-   4  sg_p3        3.41797e+01   4.32549e+00   4.37665e-05  -9.84949e-01
-   5  sg_p4        6.41502e-01   4.93072e-02   1.46804e-04  -4.48919e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.622e-02  2.353e-03 -4.855e-02  4.568e-02  2.931e-05 
-  2.353e-03  1.743e-02  5.482e-01 -1.965e-01  3.716e-03 
- -4.855e-02  5.482e-01  7.395e+01 -3.362e+01  3.979e-01 
-  4.568e-02 -1.965e-01 -3.362e+01  1.873e+01 -1.751e-01 
-  2.931e-05  3.716e-03  3.979e-01 -1.751e-01  2.471e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20598   1.000  0.140 -0.044  0.083  0.005
-        2  0.61146   0.140  1.000  0.483 -0.344  0.566
-        3  0.96402  -0.044  0.483  1.000 -0.903  0.931
-        4  0.91049   0.083 -0.344 -0.903  1.000 -0.814
-        5  0.94091   0.005  0.566  0.931 -0.814  1.000
-260
-260.912 +- 0.12735
-3.47672 +- 0.131905
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5919.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.57817e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -2.03212e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.98859e+01
-   4  sg_p3        1.17412e+02   2.90000e+01  -2.62219e-01   4.12643e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.69751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=2.6578e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.19425e-01   6.16849e-04  -2.18136e-01
-   2  sg_p1        3.47734e+00   1.22978e-01   2.67008e-03  -4.00164e-03
-   3  sg_p2        2.67522e+02   7.63977e+00   7.68027e-04   8.93806e-02
-   4  sg_p3        3.43314e+01   3.85522e+00   1.09374e-03   1.59575e-01
-   5  sg_p4        6.38280e-01   4.42553e-02   3.71607e-03  -5.05369e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.426e-02  2.165e-03 -3.368e-02  3.602e-02  7.485e-05 
-  2.165e-03  1.514e-02  4.429e-01 -1.530e-01  3.060e-03 
- -3.368e-02  4.429e-01  5.842e+01 -2.630e+01  3.147e-01 
-  3.602e-02 -1.530e-01 -2.630e+01  1.487e+01 -1.367e-01 
-  7.485e-05  3.060e-03  3.147e-01 -1.367e-01  1.985e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20661   1.000  0.147 -0.037  0.078  0.014
-        2  0.60439   0.147  1.000  0.471 -0.322  0.558
-        3  0.95995  -0.037  0.471  1.000 -0.892  0.924
-        4  0.90013   0.078 -0.322 -0.892  1.000 -0.796
-        5  0.93549   0.014  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=2.80959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.19444e-01   1.23370e-04   9.13304e-02
-   2  sg_p1        3.47734e+00   1.23908e-01   1.06803e-04  -2.64402e-01
-   3  sg_p2        2.67522e+02   8.01092e+00   1.53605e-04   5.44131e-01
-   4  sg_p3        3.43314e+01   4.04488e+00   2.18748e-04  -9.83058e-01
-   5  sg_p4        6.38280e-01   4.59835e-02   1.48643e-04  -4.63274e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.427e-02  2.115e-03 -4.024e-02  3.926e-02  4.011e-05 
-  2.115e-03  1.537e-02  4.799e-01 -1.722e-01  3.254e-03 
- -4.024e-02  4.799e-01  6.424e+01 -2.927e+01  3.453e-01 
-  3.926e-02 -1.722e-01 -2.927e+01  1.637e+01 -1.524e-01 
-  4.011e-05  3.254e-03  3.453e-01 -1.524e-01  2.145e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20733   1.000  0.143 -0.042  0.081  0.007
-        2  0.61221   0.143  1.000  0.483 -0.343  0.567
-        3  0.96365  -0.042  0.483  1.000 -0.903  0.930
-        4  0.90974   0.081 -0.343 -0.903  1.000 -0.813
-        5  0.94046   0.007  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.119444
-3.47734 +- 0.123908
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 260.912 +- 0.1233 (stat) - 0.153523 + 0.10939 (syst); -0.165439/+0.125566 (total)
-   Uncertainty on sg_p1 = 3.47719 +- 0.127818 (stat) - 0.064005 + 0.129714 (syst); -0.0904489/+0.144603 (total)
-   Uncertainty on sg_p2 = 267.513 +- 8.27292 (stat) - 0.627396 + 2.41961 (syst); -4.18377/+4.79216 (total)
-   Uncertainty on sg_p3 = 34.2369 +- 4.16972 (stat) - 1.17594 + 0.308663 (syst); -2.39363/+2.10758 (total)
-   Uncertainty on sg_p4 = 0.640026 +- 0.047524 (stat) - 0.0119301 + 0.0159351 (syst); -0.0265887/+0.0286105 (total) 
-   === Baseline plot === </br>
-   norm = 191.924
-JEC     lnN   1.01807  -
-JER     lnN   1.02103  -
-btag    lnN   1.06823  -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt
deleted file mode 100644
index 23958b1..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01516984881   -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/pdf.log
deleted file mode 100644
index 423e5dc..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.27724 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.38865e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.93907e+01   2.48425e+00   3.18529e-03  -3.25663e-04
-   2  Mean         1.00132e+00   1.76739e-03   2.62530e-06  -5.38456e-01
-   3  Sigma        1.51698e-02   1.24775e-03   3.39881e-05  -4.59685e-03
-1.00131825619 +/- 0.00176739498053
-0.015169848807 +/- 0.00124775214983
-PDF lnN 1.01516984881
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/signal270_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/signal270_sig.log
deleted file mode 100644
index 9030762..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_1_285_624/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt
deleted file mode 100644
index 32490f8..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01516984881   -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/pdf.log
deleted file mode 100644
index 423e5dc..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.27724 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.38865e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.93907e+01   2.48425e+00   3.18529e-03  -3.25663e-04
-   2  Mean         1.00132e+00   1.76739e-03   2.62530e-06  -5.38456e-01
-   3  Sigma        1.51698e-02   1.24775e-03   3.39881e-05  -4.59685e-03
-1.00131825619 +/- 0.00176739498053
-0.015169848807 +/- 0.00124775214983
-PDF lnN 1.01516984881
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/signal270_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/signal270_sig.log
deleted file mode 100644
index b05287e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_crystal_252_330/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt
deleted file mode 100644
index 9d1fc9f..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01516984881   -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/pdf.log
deleted file mode 100644
index 423e5dc..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.27724 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.38865e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.93907e+01   2.48425e+00   3.18529e-03  -3.25663e-04
-   2  Mean         1.00132e+00   1.76739e-03   2.62530e-06  -5.38456e-01
-   3  Sigma        1.51698e-02   1.24775e-03   3.39881e-05  -4.59685e-03
-1.00131825619 +/- 0.00176739498053
-0.015169848807 +/- 0.00124775214983
-PDF lnN 1.01516984881
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/signal270_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/signal270_sig.log
deleted file mode 100644
index 373c8cc..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_gaus_exp_252_330/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_novo_285_624/signal270_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_novo_285_624/signal270_sig.log
deleted file mode 100644
index ef5c6ed..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_270_novo_285_624/signal270_sig.log
+++ /dev/null
@@ -1,2 +0,0 @@
-
-Processing test.c...
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt
deleted file mode 100644
index 36960b1..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01533148611   -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/pdf.log
deleted file mode 100644
index e77095c..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=10.366 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.25903e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.89692e+01   2.45680e+00   3.29830e-03  -7.24825e-06
-   2  Mean         1.00074e+00   1.81805e-03   2.81850e-06   3.61959e-03
-   3  Sigma        1.53315e-02   1.29036e-03   3.63480e-05   1.24404e-03
-1.00074474072 +/- 0.00181805488368
-0.0153314861114 +/- 0.00129036445321
-PDF lnN 1.01533148611
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/signal300_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_1_285_624/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt
deleted file mode 100644
index 6ba9ae7..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01533148611   -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/pdf.log
deleted file mode 100644
index e77095c..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=10.366 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.25903e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.89692e+01   2.45680e+00   3.29830e-03  -7.24825e-06
-   2  Mean         1.00074e+00   1.81805e-03   2.81850e-06   3.61959e-03
-   3  Sigma        1.53315e-02   1.29036e-03   3.63480e-05   1.24404e-03
-1.00074474072 +/- 0.00181805488368
-0.0153314861114 +/- 0.00129036445321
-PDF lnN 1.01533148611
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/signal300_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_crystal_252_330/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt
deleted file mode 100644
index 54d56e8..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01533148611   -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/pdf.log
deleted file mode 100644
index e77095c..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=10.366 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.25903e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.89692e+01   2.45680e+00   3.29830e-03  -7.24825e-06
-   2  Mean         1.00074e+00   1.81805e-03   2.81850e-06   3.61959e-03
-   3  Sigma        1.53315e-02   1.29036e-03   3.63480e-05   1.24404e-03
-1.00074474072 +/- 0.00181805488368
-0.0153314861114 +/- 0.00129036445321
-PDF lnN 1.01533148611
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/signal300_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_gaus_exp_252_330/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt
deleted file mode 100644
index 7ace650..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01533148611   -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/pdf.log
deleted file mode 100644
index e77095c..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=10.366 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.25903e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.89692e+01   2.45680e+00   3.29830e-03  -7.24825e-06
-   2  Mean         1.00074e+00   1.81805e-03   2.81850e-06   3.61959e-03
-   3  Sigma        1.53315e-02   1.29036e-03   3.63480e-05   1.24404e-03
-1.00074474072 +/- 0.00181805488368
-0.0153314861114 +/- 0.00129036445321
-PDF lnN 1.01533148611
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/signal300_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_300_novo_285_624/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt
deleted file mode 100644
index 9ce90d6..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0164211668   -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/pdf.log
deleted file mode 100644
index 9259882..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.92721 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.1511e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.76281e+01   2.26075e+00   2.99629e-03  -1.83938e-04
-   2  Mean         1.00111e+00   1.89451e-03   2.87033e-06  -5.72789e-01
-   3  Sigma        1.64212e-02   1.27561e-03   3.30460e-05  -5.02787e-03
-1.00110542289 +/- 0.00189450571012
-0.0164211667957 +/- 0.00127560788686
-PDF lnN 1.0164211668
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/signal350_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_1_285_624/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt
deleted file mode 100644
index c4e6ad8..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0164211668   -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/pdf.log
deleted file mode 100644
index 9259882..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.92721 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.1511e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.76281e+01   2.26075e+00   2.99629e-03  -1.83938e-04
-   2  Mean         1.00111e+00   1.89451e-03   2.87033e-06  -5.72789e-01
-   3  Sigma        1.64212e-02   1.27561e-03   3.30460e-05  -5.02787e-03
-1.00110542289 +/- 0.00189450571012
-0.0164211667957 +/- 0.00127560788686
-PDF lnN 1.0164211668
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/signal350_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_crystal_252_330/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt
deleted file mode 100644
index 34f3d13..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0164211668   -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/pdf.log
deleted file mode 100644
index 9259882..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.92721 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.1511e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.76281e+01   2.26075e+00   2.99629e-03  -1.83938e-04
-   2  Mean         1.00111e+00   1.89451e-03   2.87033e-06  -5.72789e-01
-   3  Sigma        1.64212e-02   1.27561e-03   3.30460e-05  -5.02787e-03
-1.00110542289 +/- 0.00189450571012
-0.0164211667957 +/- 0.00127560788686
-PDF lnN 1.0164211668
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/signal350_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_gaus_exp_252_330/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt
deleted file mode 100644
index a5c3f61..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0164211668   -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/pdf.log
deleted file mode 100644
index 9259882..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.92721 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.1511e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.76281e+01   2.26075e+00   2.99629e-03  -1.83938e-04
-   2  Mean         1.00111e+00   1.89451e-03   2.87033e-06  -5.72789e-01
-   3  Sigma        1.64212e-02   1.27561e-03   3.30460e-05  -5.02787e-03
-1.00110542289 +/- 0.00189450571012
-0.0164211667957 +/- 0.00127560788686
-PDF lnN 1.0164211668
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/signal350_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_350_novo_285_624/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt
deleted file mode 100644
index e06f0b4..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  790.651 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06523    -
-JER       lnN     1.01925   - 
-JEC       lnN     1.00381   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0199774927   -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/pdf.log
deleted file mode 100644
index 6c83983..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.89323 FROM MIGRAD    STATUS=CONVERGED      63 CALLS          64 TOTAL
-                     EDM=7.57236e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.56976e+01   1.98145e+00   2.66437e-03   2.44799e-04
-   2  Mean         9.97211e-01   2.43742e-03   3.88392e-06   6.59106e-02
-   3  Sigma        1.99775e-02   1.81293e-03   4.40458e-05  -2.69742e-02
-0.997211474351 +/- 0.00243741718583
-0.0199774926998 +/- 0.0018129318814
-PDF lnN 1.0199774927
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/signal400_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/signal400_sig.log
deleted file mode 100644
index 9acbb71..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_crystal_1_285_624/signal400_sig.log
+++ /dev/null
@@ -1,869 +0,0 @@
-
-Processing test.c...
-nSignal_init = 299800
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33249 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.15243e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   1.37205e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.80805e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.17737e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.38307e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=1.96152e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.85506e+02   3.78343e-01   1.28380e-03  -1.79696e-02
-   2  sg_p1        2.16205e+01   3.35235e-01   1.80013e-03  -1.11987e-02
-   3  sg_p2        3.70000e+02   1.32448e-01   9.45540e-03** at limit **
-   4  sg_p3        6.22011e+01   2.14887e+00   4.32821e-03   3.71767e-02
-   5  sg_p4        7.86673e-01   1.32740e-02   2.60376e-03  -4.77327e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.431e-01 -3.809e-02 -1.363e-08 -2.470e-01 -1.694e-03 
- -3.809e-02  1.124e-01  1.303e-09  3.035e-01  2.581e-03 
- -1.363e-08  1.303e-09  4.343e-10  9.091e-11 -1.595e-10 
- -2.470e-01  3.035e-01  9.091e-11  4.621e+00  1.948e-02 
- -1.694e-03  2.581e-03 -1.595e-10  1.948e-02  1.763e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37324   1.000 -0.300 -0.002 -0.304 -0.337
-        2  0.59095  -0.300  1.000  0.000  0.421  0.580
-        3  0.00218  -0.002  0.000  1.000  0.000 -0.001
-        4  0.68717  -0.304  0.421  0.000  1.000  0.682
-        5  0.75833  -0.337  0.580 -0.001  0.682  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM HESSE     STATUS=OK             31 CALLS         195 TOTAL
-                     EDM=1.96284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.85506e+02   3.78550e-01   5.13518e-05  -2.74710e-01
-   2  sg_p1        2.16205e+01   3.35880e-01   7.20051e-05   6.51457e-03
-   3  sg_p2        3.70000e+02   1.32456e-01   1.89108e-03  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.22011e+01   2.15536e+00   1.73128e-04   1.60716e-01
-   5  sg_p4        7.86673e-01   1.33169e-02   5.20752e-04   6.10583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.433e-01 -3.844e-02 -2.714e-09 -2.490e-01 -1.705e-03 
- -3.844e-02  1.128e-01  2.582e-10  3.070e-01  2.603e-03 
- -2.714e-09  2.582e-10  4.343e-10  2.856e-11 -3.187e-11 
- -2.490e-01  3.070e-01  2.856e-11  4.649e+00  1.966e-02 
- -1.705e-03  2.603e-03 -3.187e-11  1.966e-02  1.774e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37450   1.000 -0.302 -0.000 -0.305 -0.338
-        2  0.59306  -0.302  1.000  0.000  0.424  0.582
-        3  0.00043  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68946  -0.305  0.424  0.000  1.000  0.685
-        5  0.76013  -0.338  0.582 -0.000  0.685  1.000
-400
-385.506 +- 0.37855
-21.6205 +- 0.33588
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33081 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   1.81151e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.25726e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.70388e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.66591e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.95873e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM MIGRAD    STATUS=CONVERGED     160 CALLS         161 TOTAL
-                     EDM=5.64365e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.87437e+02   3.85764e-01   1.26589e-03  -5.15663e-01
-   2  sg_p1        2.16839e+01   3.35523e-01   1.79115e-03   1.07532e-01
-   3  sg_p2        3.70000e+02   1.39833e-01   9.73370e-03** at limit **
-   4  sg_p3        6.08508e+01   2.10095e+00   4.12758e-03   3.24347e-02
-   5  sg_p4        7.89007e-01   1.33639e-02   2.62549e-03  -2.60744e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-01 -4.305e-02 -2.519e-07 -2.764e-01 -1.946e-03 
- -4.305e-02  1.126e-01 -9.366e-09  3.008e-01  2.619e-03 
- -2.519e-07 -9.366e-09  1.704e-07 -3.173e-07 -6.072e-09 
- -2.764e-01  3.008e-01 -3.173e-07  4.417e+00  1.920e-02 
- -1.946e-03  2.619e-03 -6.072e-09  1.920e-02  1.787e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41597   1.000 -0.333 -0.002 -0.341 -0.377
-        2  0.59692  -0.333  1.000 -0.000  0.427  0.584
-        3  0.00247  -0.002 -0.000  1.000 -0.000 -0.001
-        4  0.68971  -0.341  0.427 -0.000  1.000  0.684
-        5  0.76090  -0.377  0.584 -0.001  0.684  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM HESSE     STATUS=OK             31 CALLS         192 TOTAL
-                     EDM=5.65901e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.87437e+02   3.86035e-01   2.53178e-04  -2.17803e-01
-   2  sg_p1        2.16839e+01   3.36156e-01   7.16461e-05   9.94233e-03
-   3  sg_p2        3.70000e+02   1.39842e-01   1.94674e-03  -1.57091e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.08508e+01   2.10696e+00   1.65103e-04   1.30388e-01
-   5  sg_p4        7.89007e-01   1.34047e-02   5.25097e-04   6.16292e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.490e-01 -4.342e-02 -4.545e-08 -2.786e-01 -1.959e-03 
- -4.342e-02  1.130e-01 -1.794e-09  3.041e-01  2.641e-03 
- -4.545e-08 -1.794e-09  1.704e-07 -5.759e-08 -1.102e-09 
- -2.786e-01  3.041e-01 -5.759e-08  4.443e+00  1.938e-02 
- -1.959e-03  2.641e-03 -1.102e-09  1.938e-02  1.798e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41736   1.000 -0.335 -0.000 -0.342 -0.378
-        2  0.59895  -0.335  1.000 -0.000  0.429  0.586
-        3  0.00045  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.69187  -0.342  0.429 -0.000  1.000  0.686
-        5  0.76259  -0.378  0.586 -0.000  0.686  1.000
-400
-387.437 +- 0.386035
-21.6839 +- 0.336156
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33253.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.45970e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.71903e+00
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.91853e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -8.75244e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.55185e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=3.35227e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.83669e+02   3.75050e-01   1.31711e-03   2.71422e-01
-   2  sg_p1        2.15657e+01   3.35007e-01   1.81860e-03   2.93721e-01
-   3  sg_p2        3.70000e+02   1.18706e-01   8.94035e-03** at limit **
-   4  sg_p3        6.23837e+01   2.11611e+00   4.26491e-03   6.14124e-02
-   5  sg_p4        7.79157e-01   1.33723e-02   2.61066e-03  -1.92762e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.407e-01 -3.293e-02 -8.781e-08 -2.099e-01 -1.470e-03 
- -3.293e-02  1.122e-01  1.601e-08  2.882e-01  2.545e-03 
- -8.781e-08  1.601e-08  1.802e-08  1.177e-07 -2.465e-10 
- -2.099e-01  2.882e-01  1.177e-07  4.481e+00  1.922e-02 
- -1.470e-03  2.545e-03 -2.465e-10  1.922e-02  1.789e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32654   1.000 -0.262 -0.002 -0.264 -0.293
-        2  0.57704  -0.262  1.000  0.000  0.406  0.568
-        3  0.00196  -0.002  0.000  1.000  0.000 -0.000
-        4  0.68265  -0.264  0.406  0.000  1.000  0.679
-        5  0.75308  -0.293  0.568 -0.000  0.679  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM HESSE     STATUS=OK             31 CALLS         190 TOTAL
-                     EDM=3.3512e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.83669e+02   3.75180e-01   2.63421e-04  -3.29696e-01
-   2  sg_p1        2.15657e+01   3.35505e-01   3.63719e-04   3.55092e-03
-   3  sg_p2        3.70000e+02   1.18712e-01   1.78807e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.23837e+01   2.12217e+00   1.70597e-04   1.64828e-01
-   5  sg_p4        7.79157e-01   1.34121e-02   5.22132e-04   5.92353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.408e-01 -3.318e-02 -1.693e-08 -2.114e-01 -1.478e-03 
- -3.318e-02  1.126e-01  3.095e-09  2.911e-01  2.564e-03 
- -1.693e-08  3.095e-09  1.803e-08  2.290e-08 -4.701e-11 
- -2.114e-01  2.911e-01  2.290e-08  4.507e+00  1.940e-02 
- -1.478e-03  2.564e-03 -4.701e-11  1.940e-02  1.799e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32749   1.000 -0.264 -0.000 -0.265 -0.294
-        2  0.57875  -0.264  1.000  0.000  0.409  0.570
-        3  0.00038  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68487  -0.265  0.409  0.000  1.000  0.681
-        5  0.75478  -0.294  0.570 -0.000  0.681  1.000
-400
-383.669 +- 0.37518
-21.5657 +- 0.335505
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24472.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.05856e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.09033e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.48368e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.94112e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.96270e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM MIGRAD    STATUS=CONVERGED     509 CALLS         510 TOTAL
-                     EDM=2.5866e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03031e+02   2.26519e-01   7.06422e-04  -6.24953e-01
-   2  sg_p1        9.12153e+00   3.63993e-01   2.95185e-03  -8.05301e-02
-   3  sg_p2        3.99298e+02   7.10621e-01   6.21816e-04   1.57926e-02
-   4  sg_p3        2.14947e+01   1.13267e+00   1.39396e-03  -1.73297e-02
-   5  sg_p4        6.42062e-01   4.06347e-02   2.84361e-03   2.63915e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.131e-02 -2.172e-02  2.774e-02 -8.091e-02 -2.646e-03 
- -2.172e-02  1.327e-01  1.233e-01  3.176e-01  1.317e-02 
-  2.774e-02  1.233e-01  5.050e-01  3.697e-01  1.525e-02 
- -8.091e-02  3.176e-01  3.697e-01  1.283e+00  4.116e-02 
- -2.646e-03  1.317e-02  1.525e-02  4.116e-02  1.655e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49329   1.000 -0.263  0.172 -0.315 -0.287
-        2  0.89097  -0.263  1.000  0.476  0.770  0.889
-        3  0.62717   0.172  0.476  1.000  0.459  0.527
-        4  0.89690  -0.315  0.770  0.459  1.000  0.893
-        5  0.94977  -0.287  0.889  0.527  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM HESSE     STATUS=OK             31 CALLS         541 TOTAL
-                     EDM=2.57939e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03031e+02   2.26798e-01   1.41284e-04   1.01207e-01
-   2  sg_p1        9.12153e+00   3.64169e-01   5.90369e-04   2.02560e-02
-   3  sg_p2        3.99298e+02   7.06750e-01   2.48726e-05   2.54828e+00
-   4  sg_p3        2.14947e+01   1.13406e+00   5.57583e-05  -9.89569e-01
-   5  sg_p4        6.42062e-01   4.06652e-02   5.68723e-04   2.88093e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.144e-02 -2.202e-02  2.804e-02 -8.193e-02 -2.679e-03 
- -2.202e-02  1.328e-01  1.208e-01  3.183e-01  1.319e-02 
-  2.804e-02  1.208e-01  4.995e-01  3.614e-01  1.495e-02 
- -8.193e-02  3.183e-01  3.614e-01  1.286e+00  4.125e-02 
- -2.679e-03  1.319e-02  1.495e-02  4.125e-02  1.658e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49518   1.000 -0.266  0.175 -0.319 -0.290
-        2  0.89108  -0.266  1.000  0.469  0.770  0.889
-        3  0.62183   0.175  0.469  1.000  0.451  0.520
-        4  0.89717  -0.319  0.770  0.451  1.000  0.893
-        5  0.94985  -0.290  0.889  0.520  0.893  1.000
-400
-403.031 +- 0.226798
-9.12153 +- 0.364169
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24696.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.50567e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.99560e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.90457e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.28000e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50850e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM MIGRAD    STATUS=CONVERGED     461 CALLS         462 TOTAL
-                     EDM=2.05098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03536e+02   2.36042e-01   7.27613e-04   1.38133e-01
-   2  sg_p1        9.26052e+00   3.88073e-01   3.03064e-03   3.06014e-03
-   3  sg_p2        3.99846e+02   7.05843e-01   6.16081e-04   4.24773e-01
-   4  sg_p3        2.13604e+01   1.14532e+00   1.37198e-03   1.42343e-01
-   5  sg_p4        6.36255e-01   4.36783e-02   2.89979e-03  -2.83285e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.572e-02 -2.634e-02  2.796e-02 -9.283e-02 -3.232e-03 
- -2.634e-02  1.508e-01  1.325e-01  3.480e-01  1.525e-02 
-  2.796e-02  1.325e-01  4.982e-01  3.683e-01  1.636e-02 
- -9.283e-02  3.480e-01  3.683e-01  1.312e+00  4.510e-02 
- -3.232e-03  1.525e-02  1.636e-02  4.510e-02  1.913e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.51806   1.000 -0.287  0.168 -0.343 -0.313
-        2  0.90009  -0.287  1.000  0.483  0.782  0.898
-        3  0.63614   0.168  0.483  1.000  0.456  0.530
-        4  0.90455  -0.343  0.782  0.456  1.000  0.900
-        5  0.95487  -0.313  0.898  0.530  0.900  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM HESSE     STATUS=OK             31 CALLS         493 TOTAL
-                     EDM=2.03888e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03536e+02   2.36409e-01   1.45523e-04   1.18130e-01
-   2  sg_p1        9.26052e+00   3.89977e-01   1.21225e-04   4.34340e-02
-   3  sg_p2        3.99846e+02   7.03519e-01   1.23216e-04   2.54251e+00
-   4  sg_p3        2.13604e+01   1.15130e+00   5.48791e-05  -9.93073e-01
-   5  sg_p4        6.36255e-01   4.39145e-02   5.79958e-04   2.76000e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.589e-02 -2.689e-02  2.803e-02 -9.446e-02 -3.293e-03 
- -2.689e-02  1.523e-01  1.317e-01  3.524e-01  1.543e-02 
-  2.803e-02  1.317e-01  4.949e-01  3.651e-01  1.624e-02 
- -9.446e-02  3.524e-01  3.651e-01  1.326e+00  4.564e-02 
- -3.293e-03  1.543e-02  1.624e-02  4.564e-02  1.934e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.52024   1.000 -0.291  0.169 -0.347 -0.317
-        2  0.90112  -0.291  1.000  0.480  0.784  0.899
-        3  0.63303   0.169  0.480  1.000  0.451  0.525
-        4  0.90559  -0.347  0.784  0.451  1.000  0.901
-        5  0.95536  -0.317  0.899  0.525  0.901  1.000
-400
-403.536 +- 0.236409
-9.26052 +- 0.389977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24015.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.73383e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.14601e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.01620e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.59452e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.70364e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM MIGRAD    STATUS=CONVERGED     571 CALLS         572 TOTAL
-                     EDM=2.11975e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02655e+02   2.13288e-01   6.62907e-04  -4.46168e-01
-   2  sg_p1        9.23949e+00   3.37872e-01   2.75680e-03  -1.32311e-01
-   3  sg_p2        3.98219e+02   8.68178e-01   7.02928e-04   2.98040e-01
-   4  sg_p3        2.22778e+01   1.33749e+00   1.59705e-03  -1.34034e-01
-   5  sg_p4        6.87624e-01   3.80009e-02   2.77016e-03   9.90234e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.549e-02 -1.871e-02  2.077e-02 -9.028e-02 -2.314e-03 
- -1.871e-02  1.143e-01  1.614e-01  3.481e-01  1.139e-02 
-  2.077e-02  1.614e-01  7.538e-01  6.352e-01  2.015e-02 
- -9.028e-02  3.481e-01  6.352e-01  1.790e+00  4.538e-02 
- -2.314e-03  1.139e-02  2.015e-02  4.538e-02  1.447e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48247   1.000 -0.259  0.112 -0.316 -0.285
-        2  0.88740  -0.259  1.000  0.550  0.770  0.886
-        3  0.68165   0.112  0.550  1.000  0.547  0.610
-        4  0.89573  -0.316  0.770  0.547  1.000  0.892
-        5  0.94802  -0.285  0.886  0.610  0.892  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM HESSE     STATUS=OK             31 CALLS         603 TOTAL
-                     EDM=2.11621e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02655e+02   2.13549e-01   1.32581e-04   8.86008e-02
-   2  sg_p1        9.23949e+00   3.38145e-01   5.51360e-04   3.99260e-02
-   3  sg_p2        3.98219e+02   8.63799e-01   1.40586e-04   2.55955e+00
-   4  sg_p3        2.22778e+01   1.33974e+00   6.38820e-05  -9.69500e-01
-   5  sg_p4        6.87624e-01   3.80543e-02   5.54033e-04   3.84665e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.560e-02 -1.897e-02  2.093e-02 -9.145e-02 -2.344e-03 
- -1.897e-02  1.145e-01  1.594e-01  3.492e-01  1.142e-02 
-  2.093e-02  1.594e-01  7.462e-01  6.264e-01  1.990e-02 
- -9.145e-02  3.492e-01  6.264e-01  1.796e+00  4.554e-02 
- -2.344e-03  1.142e-02  1.990e-02  4.554e-02  1.451e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48441   1.000 -0.263  0.113 -0.320 -0.288
-        2  0.88760  -0.263  1.000  0.545  0.770  0.886
-        3  0.67765   0.113  0.545  1.000  0.541  0.605
-        4  0.89610  -0.320  0.770  0.541  1.000  0.892
-        5  0.94817  -0.288  0.886  0.605  0.892  1.000
-400
-402.655 +- 0.213549
-9.23949 +- 0.338145
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23933.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.00563e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.26149e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.57290e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.98719e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.58184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23482 FROM MIGRAD    STATUS=CONVERGED     425 CALLS         426 TOTAL
-                     EDM=1.98551e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03064e+02   2.30766e-01   4.51369e-05   5.86157e-01
-   2  sg_p1        9.18055e+00   3.67314e-01  -4.43730e-04   8.55470e-03
-   3  sg_p2        3.99566e+02   7.08192e-01  -8.00128e-05  -4.66991e-01
-   4  sg_p3        2.13892e+01   1.12890e+00   4.69804e-04  -1.79727e-01
-   5  sg_p4        6.36669e-01   4.03843e-02   7.38905e-05   1.36445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.325e-02 -2.904e-02  2.726e-02 -9.686e-02 -3.527e-03 
- -2.904e-02  1.351e-01  1.202e-01  3.188e-01  1.315e-02 
-  2.726e-02  1.202e-01  5.015e-01  3.501e-01  1.456e-02 
- -9.686e-02  3.188e-01  3.501e-01  1.275e+00  4.101e-02 
- -3.527e-03  1.315e-02  1.456e-02  4.101e-02  1.635e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.56644   1.000 -0.342  0.167 -0.372 -0.378
-        2  0.88731  -0.342  1.000  0.462  0.768  0.885
-        3  0.64043   0.167  0.462  1.000  0.438  0.509
-        4  0.90083  -0.372  0.768  0.438  1.000  0.898
-        5  0.95189  -0.378  0.885  0.509  0.898  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23482 FROM HESSE     STATUS=OK             35 CALLS         461 TOTAL
-                     EDM=5.54045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03064e+02   2.33269e-01   7.19455e-04   1.02309e-01
-   2  sg_p1        9.18055e+00   3.92591e-01   3.01012e-03   3.00958e-02
-   3  sg_p2        3.99566e+02   7.11832e-01   6.13401e-04   2.54546e+00
-   4  sg_p3        2.13892e+01   1.16905e+00   1.37125e-03  -9.92320e-01
-   5  sg_p4        6.36669e-01   4.39485e-02   2.87997e-03   2.76861e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.442e-02 -2.298e-02  3.133e-02 -8.326e-02 -2.828e-03 
- -2.298e-02  1.543e-01  1.349e-01  3.609e-01  1.554e-02 
-  3.133e-02  1.349e-01  5.067e-01  3.816e-01  1.648e-02 
- -8.326e-02  3.609e-01  3.816e-01  1.367e+00  4.638e-02 
- -2.828e-03  1.554e-02  1.648e-02  4.638e-02  1.937e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49395   1.000 -0.251  0.189 -0.305 -0.275
-        2  0.90095  -0.251  1.000  0.482  0.786  0.899
-        3  0.63094   0.189  0.482  1.000  0.459  0.526
-        4  0.90514  -0.305  0.786  0.459  1.000  0.901
-        5  0.95480  -0.275  0.899  0.526  0.901  1.000
-400
-403.064 +- 0.233269
-9.18055 +- 0.392591
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24885.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.11264e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.79480e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39340e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.92985e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.63355e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM MIGRAD    STATUS=CONVERGED     428 CALLS         429 TOTAL
-                     EDM=7.26443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02955e+02   2.19114e-01   6.87184e-04  -4.52991e-01
-   2  sg_p1        9.16571e+00   3.57674e-01   2.86480e-03  -1.28599e-01
-   3  sg_p2        3.99199e+02   7.40925e-01   6.46031e-04   5.84783e-01
-   4  sg_p3        2.16431e+01   1.21207e+00   1.45003e-03  -5.04696e-01
-   5  sg_p4        6.62907e-01   4.05793e-02   2.83164e-03   1.71367e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.801e-02 -2.192e-02  2.514e-02 -8.718e-02 -2.692e-03 
- -2.192e-02  1.281e-01  1.292e-01  3.393e-01  1.300e-02 
-  2.514e-02  1.292e-01  5.490e-01  4.252e-01  1.618e-02 
- -8.718e-02  3.393e-01  4.252e-01  1.470e+00  4.429e-02 
- -2.692e-03  1.300e-02  1.618e-02  4.429e-02  1.651e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49883   1.000 -0.280  0.155 -0.328 -0.302
-        2  0.89599  -0.280  1.000  0.487  0.782  0.894
-        3  0.63326   0.155  0.487  1.000  0.473  0.538
-        4  0.90259  -0.328  0.782  0.473  1.000  0.899
-        5  0.95237  -0.302  0.894  0.538  0.899  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM HESSE     STATUS=OK             31 CALLS         460 TOTAL
-                     EDM=7.27657e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02955e+02   2.19385e-01   1.37437e-04   9.86503e-02
-   2  sg_p1        9.16571e+00   3.58424e-01   5.72960e-04   2.76226e-02
-   3  sg_p2        3.99199e+02   7.37765e-01   1.29206e-04   2.54932e+00
-   4  sg_p3        2.16431e+01   1.21551e+00   2.90006e-04  -9.85719e-01
-   5  sg_p4        6.62907e-01   4.06836e-02   5.66328e-04   3.31874e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.813e-02 -2.225e-02  2.533e-02 -8.836e-02 -2.729e-03 
- -2.225e-02  1.286e-01  1.275e-01  3.414e-01  1.307e-02 
-  2.533e-02  1.275e-01  5.443e-01  4.191e-01  1.598e-02 
- -8.836e-02  3.414e-01  4.191e-01  1.478e+00  4.455e-02 
- -2.729e-03  1.307e-02  1.598e-02  4.455e-02  1.659e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50069   1.000 -0.283  0.157 -0.331 -0.305
-        2  0.89645  -0.283  1.000  0.482  0.783  0.895
-        3  0.62918   0.157  0.482  1.000  0.467  0.532
-        4  0.90317  -0.331  0.783  0.467  1.000  0.900
-        5  0.95262  -0.305  0.895  0.532  0.900  1.000
-400
-402.955 +- 0.219385
-9.16571 +- 0.358424
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22933.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.87100e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.93992e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39002e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.82300e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50242e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM MIGRAD    STATUS=CONVERGED     449 CALLS         450 TOTAL
-                     EDM=1.18063e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.33943e-01   7.06213e-04   9.04520e-02
-   2  sg_p1        9.10686e+00   3.76352e-01   2.94856e-03  -2.29097e-02
-   3  sg_p2        3.99344e+02   7.27483e-01   6.18170e-04  -1.42732e-01
-   4  sg_p3        2.14204e+01   1.15968e+00   1.38769e-03   7.24703e-02
-   5  sg_p4        6.41123e-01   4.21101e-02   2.84478e-03  -3.40374e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.473e-02 -2.306e-02  3.001e-02 -8.509e-02 -2.816e-03 
- -2.306e-02  1.418e-01  1.295e-01  3.363e-01  1.412e-02 
-  3.001e-02  1.295e-01  5.292e-01  3.838e-01  1.605e-02 
- -8.509e-02  3.363e-01  3.838e-01  1.345e+00  4.369e-02 
- -2.816e-03  1.412e-02  1.605e-02  4.369e-02  1.778e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49289   1.000 -0.262  0.176 -0.314 -0.285
-        2  0.89116  -0.262  1.000  0.473  0.770  0.889
-        3  0.62460   0.176  0.473  1.000  0.455  0.523
-        4  0.89709  -0.314  0.770  0.455  1.000  0.893
-        5  0.94991  -0.285  0.889  0.523  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM HESSE     STATUS=OK             31 CALLS         481 TOTAL
-                     EDM=1.18704e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.34247e-01   1.41243e-04   1.01255e-01
-   2  sg_p1        9.10686e+00   3.78028e-01   1.17943e-04   1.78107e-02
-   3  sg_p2        3.99344e+02   7.25174e-01   1.23634e-04   2.54779e+00
-   4  sg_p3        2.14204e+01   1.16522e+00   5.55076e-05  -9.91505e-01
-   5  sg_p4        6.41123e-01   4.23208e-02   5.68957e-04   2.86134e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.487e-02 -2.352e-02  3.007e-02 -8.655e-02 -2.868e-03 
- -2.352e-02  1.431e-01  1.286e-01  3.403e-01  1.427e-02 
-  3.007e-02  1.286e-01  5.259e-01  3.804e-01  1.593e-02 
- -8.655e-02  3.403e-01  3.804e-01  1.358e+00  4.417e-02 
- -2.868e-03  1.427e-02  1.593e-02  4.417e-02  1.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49488   1.000 -0.265  0.177 -0.317 -0.289
-        2  0.89218  -0.265  1.000  0.469  0.772  0.890
-        3  0.62148   0.177  0.469  1.000  0.450  0.519
-        4  0.89813  -0.317  0.772  0.450  1.000  0.894
-        5  0.95042  -0.289  0.890  0.519  0.894  1.000
-400
-403.032 +- 0.234247
-9.10686 +- 0.378028
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26088.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.25521e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.24913e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.58204e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.06494e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.44374e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.85098 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (43592.9) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=411.751, sg_p1=10.1393, sg_p2=221.646, sg_p3=12.3173, sg_p4=0.392797
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=352.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=355.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=358.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=361.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=364.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=367.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=370.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=373.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=376.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=379.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=382.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=385.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-    ... (remaining 23 messages suppressed)
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM MIGRAD    STATUS=CONVERGED     410 CALLS         411 TOTAL
-                     EDM=8.53169e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.19508e-01   7.06641e-04   2.77604e-01
-   2  sg_p1        9.13654e+00   3.52245e-01   2.95146e-03   6.85002e-02
-   3  sg_p2        3.99251e+02   6.94391e-01   6.24869e-04  -5.23482e-02
-   4  sg_p3        2.15673e+01   1.10701e+00   1.40379e-03   1.05606e-01
-   5  sg_p4        6.42963e-01   3.92422e-02   2.83913e-03  -5.31174e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.818e-02 -2.053e-02  2.561e-02 -7.720e-02 -2.495e-03 
- -2.053e-02  1.242e-01  1.174e-01  3.004e-01  1.231e-02 
-  2.561e-02  1.174e-01  4.822e-01  3.562e-01  1.450e-02 
- -7.720e-02  3.004e-01  3.562e-01  1.226e+00  3.884e-02 
- -2.495e-03  1.231e-02  1.450e-02  3.884e-02  1.543e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49407   1.000 -0.265  0.168 -0.318 -0.289
-        2  0.89076  -0.265  1.000  0.480  0.770  0.889
-        3  0.62968   0.168  0.480  1.000  0.463  0.531
-        4  0.89677  -0.318  0.770  0.463  1.000  0.893
-        5  0.94966  -0.289  0.889  0.531  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM HESSE     STATUS=OK             31 CALLS         442 TOTAL
-                     EDM=8.53668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.19804e-01   1.41328e-04   1.01235e-01
-   2  sg_p1        9.13654e+00   3.53820e-01   1.18058e-04   2.27585e-02
-   3  sg_p2        3.99251e+02   6.92171e-01   1.24974e-04   2.54877e+00
-   4  sg_p3        2.15673e+01   1.11233e+00   5.61518e-05  -9.87685e-01
-   5  sg_p4        6.42963e-01   3.94399e-02   5.67827e-04   2.89973e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.831e-02 -2.094e-02  2.565e-02 -7.854e-02 -2.542e-03 
- -2.094e-02  1.253e-01  1.167e-01  3.040e-01  1.244e-02 
-  2.565e-02  1.167e-01  4.791e-01  3.532e-01  1.440e-02 
- -7.854e-02  3.040e-01  3.532e-01  1.238e+00  3.927e-02 
- -2.542e-03  1.244e-02  1.440e-02  3.927e-02  1.559e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49612   1.000 -0.269  0.169 -0.321 -0.293
-        2  0.89179  -0.269  1.000  0.476  0.772  0.890
-        3  0.62659   0.169  0.476  1.000  0.459  0.527
-        4  0.89781  -0.321  0.772  0.459  1.000  0.894
-        5  0.95017  -0.293  0.890  0.527  0.894  1.000
-400
-403.032 +- 0.219804
-9.13654 +- 0.35382
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 403.031 +- 0.226798 (stat) - 0.376479 + 0.504637 (syst); -0.393186/+0.517221 (total)
-   Uncertainty on sg_p1 = 9.12153 +- 0.364169 (stat) - 0.014669 + 0.138994 (syst); -0.182675/+0.229073 (total)
-   Uncertainty on sg_p2 = 399.298 +- 0.70675 (stat) - 1.07894 + 0.548609 (syst); -1.13534/+0.652569 (total)
-   Uncertainty on sg_p3 = 21.4947 +- 1.13406 (stat) - 0.134294 + 0.783059 (syst); -0.582718/+0.966802 (total)
-   Uncertainty on sg_p4 = 0.642062 +- 0.0406652 (stat) - 0.00580743 + 0.0455621 (syst); -0.0211457/+0.049893 (total) 
-   === Baseline plot === </br>
-   norm = 790.651
-JEC     lnN   1.00381  -
-JER     lnN   1.01925  -
-btag    lnN   1.06523  -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt
deleted file mode 100644
index 198429b..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  790.651 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06523    -
-JER       lnN     1.01925   - 
-JEC       lnN     1.00381   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0199774927   -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/pdf.log
deleted file mode 100644
index 6c83983..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.89323 FROM MIGRAD    STATUS=CONVERGED      63 CALLS          64 TOTAL
-                     EDM=7.57236e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.56976e+01   1.98145e+00   2.66437e-03   2.44799e-04
-   2  Mean         9.97211e-01   2.43742e-03   3.88392e-06   6.59106e-02
-   3  Sigma        1.99775e-02   1.81293e-03   4.40458e-05  -2.69742e-02
-0.997211474351 +/- 0.00243741718583
-0.0199774926998 +/- 0.0018129318814
-PDF lnN 1.0199774927
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/signal400_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/signal400_sig.log
deleted file mode 100644
index 9acbb71..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_400_novo_285_624/signal400_sig.log
+++ /dev/null
@@ -1,869 +0,0 @@
-
-Processing test.c...
-nSignal_init = 299800
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33249 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.15243e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   1.37205e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.80805e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.17737e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.38307e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=1.96152e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.85506e+02   3.78343e-01   1.28380e-03  -1.79696e-02
-   2  sg_p1        2.16205e+01   3.35235e-01   1.80013e-03  -1.11987e-02
-   3  sg_p2        3.70000e+02   1.32448e-01   9.45540e-03** at limit **
-   4  sg_p3        6.22011e+01   2.14887e+00   4.32821e-03   3.71767e-02
-   5  sg_p4        7.86673e-01   1.32740e-02   2.60376e-03  -4.77327e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.431e-01 -3.809e-02 -1.363e-08 -2.470e-01 -1.694e-03 
- -3.809e-02  1.124e-01  1.303e-09  3.035e-01  2.581e-03 
- -1.363e-08  1.303e-09  4.343e-10  9.091e-11 -1.595e-10 
- -2.470e-01  3.035e-01  9.091e-11  4.621e+00  1.948e-02 
- -1.694e-03  2.581e-03 -1.595e-10  1.948e-02  1.763e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37324   1.000 -0.300 -0.002 -0.304 -0.337
-        2  0.59095  -0.300  1.000  0.000  0.421  0.580
-        3  0.00218  -0.002  0.000  1.000  0.000 -0.001
-        4  0.68717  -0.304  0.421  0.000  1.000  0.682
-        5  0.75833  -0.337  0.580 -0.001  0.682  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM HESSE     STATUS=OK             31 CALLS         195 TOTAL
-                     EDM=1.96284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.85506e+02   3.78550e-01   5.13518e-05  -2.74710e-01
-   2  sg_p1        2.16205e+01   3.35880e-01   7.20051e-05   6.51457e-03
-   3  sg_p2        3.70000e+02   1.32456e-01   1.89108e-03  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.22011e+01   2.15536e+00   1.73128e-04   1.60716e-01
-   5  sg_p4        7.86673e-01   1.33169e-02   5.20752e-04   6.10583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.433e-01 -3.844e-02 -2.714e-09 -2.490e-01 -1.705e-03 
- -3.844e-02  1.128e-01  2.582e-10  3.070e-01  2.603e-03 
- -2.714e-09  2.582e-10  4.343e-10  2.856e-11 -3.187e-11 
- -2.490e-01  3.070e-01  2.856e-11  4.649e+00  1.966e-02 
- -1.705e-03  2.603e-03 -3.187e-11  1.966e-02  1.774e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37450   1.000 -0.302 -0.000 -0.305 -0.338
-        2  0.59306  -0.302  1.000  0.000  0.424  0.582
-        3  0.00043  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68946  -0.305  0.424  0.000  1.000  0.685
-        5  0.76013  -0.338  0.582 -0.000  0.685  1.000
-400
-385.506 +- 0.37855
-21.6205 +- 0.33588
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33081 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   1.81151e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.25726e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.70388e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.66591e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.95873e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM MIGRAD    STATUS=CONVERGED     160 CALLS         161 TOTAL
-                     EDM=5.64365e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.87437e+02   3.85764e-01   1.26589e-03  -5.15663e-01
-   2  sg_p1        2.16839e+01   3.35523e-01   1.79115e-03   1.07532e-01
-   3  sg_p2        3.70000e+02   1.39833e-01   9.73370e-03** at limit **
-   4  sg_p3        6.08508e+01   2.10095e+00   4.12758e-03   3.24347e-02
-   5  sg_p4        7.89007e-01   1.33639e-02   2.62549e-03  -2.60744e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-01 -4.305e-02 -2.519e-07 -2.764e-01 -1.946e-03 
- -4.305e-02  1.126e-01 -9.366e-09  3.008e-01  2.619e-03 
- -2.519e-07 -9.366e-09  1.704e-07 -3.173e-07 -6.072e-09 
- -2.764e-01  3.008e-01 -3.173e-07  4.417e+00  1.920e-02 
- -1.946e-03  2.619e-03 -6.072e-09  1.920e-02  1.787e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41597   1.000 -0.333 -0.002 -0.341 -0.377
-        2  0.59692  -0.333  1.000 -0.000  0.427  0.584
-        3  0.00247  -0.002 -0.000  1.000 -0.000 -0.001
-        4  0.68971  -0.341  0.427 -0.000  1.000  0.684
-        5  0.76090  -0.377  0.584 -0.001  0.684  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM HESSE     STATUS=OK             31 CALLS         192 TOTAL
-                     EDM=5.65901e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.87437e+02   3.86035e-01   2.53178e-04  -2.17803e-01
-   2  sg_p1        2.16839e+01   3.36156e-01   7.16461e-05   9.94233e-03
-   3  sg_p2        3.70000e+02   1.39842e-01   1.94674e-03  -1.57091e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.08508e+01   2.10696e+00   1.65103e-04   1.30388e-01
-   5  sg_p4        7.89007e-01   1.34047e-02   5.25097e-04   6.16292e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.490e-01 -4.342e-02 -4.545e-08 -2.786e-01 -1.959e-03 
- -4.342e-02  1.130e-01 -1.794e-09  3.041e-01  2.641e-03 
- -4.545e-08 -1.794e-09  1.704e-07 -5.759e-08 -1.102e-09 
- -2.786e-01  3.041e-01 -5.759e-08  4.443e+00  1.938e-02 
- -1.959e-03  2.641e-03 -1.102e-09  1.938e-02  1.798e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41736   1.000 -0.335 -0.000 -0.342 -0.378
-        2  0.59895  -0.335  1.000 -0.000  0.429  0.586
-        3  0.00045  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.69187  -0.342  0.429 -0.000  1.000  0.686
-        5  0.76259  -0.378  0.586 -0.000  0.686  1.000
-400
-387.437 +- 0.386035
-21.6839 +- 0.336156
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33253.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.45970e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.71903e+00
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.91853e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -8.75244e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.55185e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=3.35227e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.83669e+02   3.75050e-01   1.31711e-03   2.71422e-01
-   2  sg_p1        2.15657e+01   3.35007e-01   1.81860e-03   2.93721e-01
-   3  sg_p2        3.70000e+02   1.18706e-01   8.94035e-03** at limit **
-   4  sg_p3        6.23837e+01   2.11611e+00   4.26491e-03   6.14124e-02
-   5  sg_p4        7.79157e-01   1.33723e-02   2.61066e-03  -1.92762e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.407e-01 -3.293e-02 -8.781e-08 -2.099e-01 -1.470e-03 
- -3.293e-02  1.122e-01  1.601e-08  2.882e-01  2.545e-03 
- -8.781e-08  1.601e-08  1.802e-08  1.177e-07 -2.465e-10 
- -2.099e-01  2.882e-01  1.177e-07  4.481e+00  1.922e-02 
- -1.470e-03  2.545e-03 -2.465e-10  1.922e-02  1.789e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32654   1.000 -0.262 -0.002 -0.264 -0.293
-        2  0.57704  -0.262  1.000  0.000  0.406  0.568
-        3  0.00196  -0.002  0.000  1.000  0.000 -0.000
-        4  0.68265  -0.264  0.406  0.000  1.000  0.679
-        5  0.75308  -0.293  0.568 -0.000  0.679  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM HESSE     STATUS=OK             31 CALLS         190 TOTAL
-                     EDM=3.3512e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.83669e+02   3.75180e-01   2.63421e-04  -3.29696e-01
-   2  sg_p1        2.15657e+01   3.35505e-01   3.63719e-04   3.55092e-03
-   3  sg_p2        3.70000e+02   1.18712e-01   1.78807e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.23837e+01   2.12217e+00   1.70597e-04   1.64828e-01
-   5  sg_p4        7.79157e-01   1.34121e-02   5.22132e-04   5.92353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.408e-01 -3.318e-02 -1.693e-08 -2.114e-01 -1.478e-03 
- -3.318e-02  1.126e-01  3.095e-09  2.911e-01  2.564e-03 
- -1.693e-08  3.095e-09  1.803e-08  2.290e-08 -4.701e-11 
- -2.114e-01  2.911e-01  2.290e-08  4.507e+00  1.940e-02 
- -1.478e-03  2.564e-03 -4.701e-11  1.940e-02  1.799e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32749   1.000 -0.264 -0.000 -0.265 -0.294
-        2  0.57875  -0.264  1.000  0.000  0.409  0.570
-        3  0.00038  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68487  -0.265  0.409  0.000  1.000  0.681
-        5  0.75478  -0.294  0.570 -0.000  0.681  1.000
-400
-383.669 +- 0.37518
-21.5657 +- 0.335505
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24472.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.05856e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.09033e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.48368e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.94112e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.96270e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM MIGRAD    STATUS=CONVERGED     509 CALLS         510 TOTAL
-                     EDM=2.5866e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03031e+02   2.26519e-01   7.06422e-04  -6.24953e-01
-   2  sg_p1        9.12153e+00   3.63993e-01   2.95185e-03  -8.05301e-02
-   3  sg_p2        3.99298e+02   7.10621e-01   6.21816e-04   1.57926e-02
-   4  sg_p3        2.14947e+01   1.13267e+00   1.39396e-03  -1.73297e-02
-   5  sg_p4        6.42062e-01   4.06347e-02   2.84361e-03   2.63915e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.131e-02 -2.172e-02  2.774e-02 -8.091e-02 -2.646e-03 
- -2.172e-02  1.327e-01  1.233e-01  3.176e-01  1.317e-02 
-  2.774e-02  1.233e-01  5.050e-01  3.697e-01  1.525e-02 
- -8.091e-02  3.176e-01  3.697e-01  1.283e+00  4.116e-02 
- -2.646e-03  1.317e-02  1.525e-02  4.116e-02  1.655e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49329   1.000 -0.263  0.172 -0.315 -0.287
-        2  0.89097  -0.263  1.000  0.476  0.770  0.889
-        3  0.62717   0.172  0.476  1.000  0.459  0.527
-        4  0.89690  -0.315  0.770  0.459  1.000  0.893
-        5  0.94977  -0.287  0.889  0.527  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM HESSE     STATUS=OK             31 CALLS         541 TOTAL
-                     EDM=2.57939e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03031e+02   2.26798e-01   1.41284e-04   1.01207e-01
-   2  sg_p1        9.12153e+00   3.64169e-01   5.90369e-04   2.02560e-02
-   3  sg_p2        3.99298e+02   7.06750e-01   2.48726e-05   2.54828e+00
-   4  sg_p3        2.14947e+01   1.13406e+00   5.57583e-05  -9.89569e-01
-   5  sg_p4        6.42062e-01   4.06652e-02   5.68723e-04   2.88093e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.144e-02 -2.202e-02  2.804e-02 -8.193e-02 -2.679e-03 
- -2.202e-02  1.328e-01  1.208e-01  3.183e-01  1.319e-02 
-  2.804e-02  1.208e-01  4.995e-01  3.614e-01  1.495e-02 
- -8.193e-02  3.183e-01  3.614e-01  1.286e+00  4.125e-02 
- -2.679e-03  1.319e-02  1.495e-02  4.125e-02  1.658e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49518   1.000 -0.266  0.175 -0.319 -0.290
-        2  0.89108  -0.266  1.000  0.469  0.770  0.889
-        3  0.62183   0.175  0.469  1.000  0.451  0.520
-        4  0.89717  -0.319  0.770  0.451  1.000  0.893
-        5  0.94985  -0.290  0.889  0.520  0.893  1.000
-400
-403.031 +- 0.226798
-9.12153 +- 0.364169
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24696.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.50567e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.99560e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.90457e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.28000e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50850e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM MIGRAD    STATUS=CONVERGED     461 CALLS         462 TOTAL
-                     EDM=2.05098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03536e+02   2.36042e-01   7.27613e-04   1.38133e-01
-   2  sg_p1        9.26052e+00   3.88073e-01   3.03064e-03   3.06014e-03
-   3  sg_p2        3.99846e+02   7.05843e-01   6.16081e-04   4.24773e-01
-   4  sg_p3        2.13604e+01   1.14532e+00   1.37198e-03   1.42343e-01
-   5  sg_p4        6.36255e-01   4.36783e-02   2.89979e-03  -2.83285e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.572e-02 -2.634e-02  2.796e-02 -9.283e-02 -3.232e-03 
- -2.634e-02  1.508e-01  1.325e-01  3.480e-01  1.525e-02 
-  2.796e-02  1.325e-01  4.982e-01  3.683e-01  1.636e-02 
- -9.283e-02  3.480e-01  3.683e-01  1.312e+00  4.510e-02 
- -3.232e-03  1.525e-02  1.636e-02  4.510e-02  1.913e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.51806   1.000 -0.287  0.168 -0.343 -0.313
-        2  0.90009  -0.287  1.000  0.483  0.782  0.898
-        3  0.63614   0.168  0.483  1.000  0.456  0.530
-        4  0.90455  -0.343  0.782  0.456  1.000  0.900
-        5  0.95487  -0.313  0.898  0.530  0.900  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM HESSE     STATUS=OK             31 CALLS         493 TOTAL
-                     EDM=2.03888e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03536e+02   2.36409e-01   1.45523e-04   1.18130e-01
-   2  sg_p1        9.26052e+00   3.89977e-01   1.21225e-04   4.34340e-02
-   3  sg_p2        3.99846e+02   7.03519e-01   1.23216e-04   2.54251e+00
-   4  sg_p3        2.13604e+01   1.15130e+00   5.48791e-05  -9.93073e-01
-   5  sg_p4        6.36255e-01   4.39145e-02   5.79958e-04   2.76000e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.589e-02 -2.689e-02  2.803e-02 -9.446e-02 -3.293e-03 
- -2.689e-02  1.523e-01  1.317e-01  3.524e-01  1.543e-02 
-  2.803e-02  1.317e-01  4.949e-01  3.651e-01  1.624e-02 
- -9.446e-02  3.524e-01  3.651e-01  1.326e+00  4.564e-02 
- -3.293e-03  1.543e-02  1.624e-02  4.564e-02  1.934e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.52024   1.000 -0.291  0.169 -0.347 -0.317
-        2  0.90112  -0.291  1.000  0.480  0.784  0.899
-        3  0.63303   0.169  0.480  1.000  0.451  0.525
-        4  0.90559  -0.347  0.784  0.451  1.000  0.901
-        5  0.95536  -0.317  0.899  0.525  0.901  1.000
-400
-403.536 +- 0.236409
-9.26052 +- 0.389977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24015.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.73383e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.14601e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.01620e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.59452e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.70364e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM MIGRAD    STATUS=CONVERGED     571 CALLS         572 TOTAL
-                     EDM=2.11975e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02655e+02   2.13288e-01   6.62907e-04  -4.46168e-01
-   2  sg_p1        9.23949e+00   3.37872e-01   2.75680e-03  -1.32311e-01
-   3  sg_p2        3.98219e+02   8.68178e-01   7.02928e-04   2.98040e-01
-   4  sg_p3        2.22778e+01   1.33749e+00   1.59705e-03  -1.34034e-01
-   5  sg_p4        6.87624e-01   3.80009e-02   2.77016e-03   9.90234e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.549e-02 -1.871e-02  2.077e-02 -9.028e-02 -2.314e-03 
- -1.871e-02  1.143e-01  1.614e-01  3.481e-01  1.139e-02 
-  2.077e-02  1.614e-01  7.538e-01  6.352e-01  2.015e-02 
- -9.028e-02  3.481e-01  6.352e-01  1.790e+00  4.538e-02 
- -2.314e-03  1.139e-02  2.015e-02  4.538e-02  1.447e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48247   1.000 -0.259  0.112 -0.316 -0.285
-        2  0.88740  -0.259  1.000  0.550  0.770  0.886
-        3  0.68165   0.112  0.550  1.000  0.547  0.610
-        4  0.89573  -0.316  0.770  0.547  1.000  0.892
-        5  0.94802  -0.285  0.886  0.610  0.892  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM HESSE     STATUS=OK             31 CALLS         603 TOTAL
-                     EDM=2.11621e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02655e+02   2.13549e-01   1.32581e-04   8.86008e-02
-   2  sg_p1        9.23949e+00   3.38145e-01   5.51360e-04   3.99260e-02
-   3  sg_p2        3.98219e+02   8.63799e-01   1.40586e-04   2.55955e+00
-   4  sg_p3        2.22778e+01   1.33974e+00   6.38820e-05  -9.69500e-01
-   5  sg_p4        6.87624e-01   3.80543e-02   5.54033e-04   3.84665e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.560e-02 -1.897e-02  2.093e-02 -9.145e-02 -2.344e-03 
- -1.897e-02  1.145e-01  1.594e-01  3.492e-01  1.142e-02 
-  2.093e-02  1.594e-01  7.462e-01  6.264e-01  1.990e-02 
- -9.145e-02  3.492e-01  6.264e-01  1.796e+00  4.554e-02 
- -2.344e-03  1.142e-02  1.990e-02  4.554e-02  1.451e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48441   1.000 -0.263  0.113 -0.320 -0.288
-        2  0.88760  -0.263  1.000  0.545  0.770  0.886
-        3  0.67765   0.113  0.545  1.000  0.541  0.605
-        4  0.89610  -0.320  0.770  0.541  1.000  0.892
-        5  0.94817  -0.288  0.886  0.605  0.892  1.000
-400
-402.655 +- 0.213549
-9.23949 +- 0.338145
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23933.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.00563e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.26149e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.57290e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.98719e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.58184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23482 FROM MIGRAD    STATUS=CONVERGED     425 CALLS         426 TOTAL
-                     EDM=1.98551e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03064e+02   2.30766e-01   4.51369e-05   5.86157e-01
-   2  sg_p1        9.18055e+00   3.67314e-01  -4.43730e-04   8.55470e-03
-   3  sg_p2        3.99566e+02   7.08192e-01  -8.00128e-05  -4.66991e-01
-   4  sg_p3        2.13892e+01   1.12890e+00   4.69804e-04  -1.79727e-01
-   5  sg_p4        6.36669e-01   4.03843e-02   7.38905e-05   1.36445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.325e-02 -2.904e-02  2.726e-02 -9.686e-02 -3.527e-03 
- -2.904e-02  1.351e-01  1.202e-01  3.188e-01  1.315e-02 
-  2.726e-02  1.202e-01  5.015e-01  3.501e-01  1.456e-02 
- -9.686e-02  3.188e-01  3.501e-01  1.275e+00  4.101e-02 
- -3.527e-03  1.315e-02  1.456e-02  4.101e-02  1.635e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.56644   1.000 -0.342  0.167 -0.372 -0.378
-        2  0.88731  -0.342  1.000  0.462  0.768  0.885
-        3  0.64043   0.167  0.462  1.000  0.438  0.509
-        4  0.90083  -0.372  0.768  0.438  1.000  0.898
-        5  0.95189  -0.378  0.885  0.509  0.898  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23482 FROM HESSE     STATUS=OK             35 CALLS         461 TOTAL
-                     EDM=5.54045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03064e+02   2.33269e-01   7.19455e-04   1.02309e-01
-   2  sg_p1        9.18055e+00   3.92591e-01   3.01012e-03   3.00958e-02
-   3  sg_p2        3.99566e+02   7.11832e-01   6.13401e-04   2.54546e+00
-   4  sg_p3        2.13892e+01   1.16905e+00   1.37125e-03  -9.92320e-01
-   5  sg_p4        6.36669e-01   4.39485e-02   2.87997e-03   2.76861e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.442e-02 -2.298e-02  3.133e-02 -8.326e-02 -2.828e-03 
- -2.298e-02  1.543e-01  1.349e-01  3.609e-01  1.554e-02 
-  3.133e-02  1.349e-01  5.067e-01  3.816e-01  1.648e-02 
- -8.326e-02  3.609e-01  3.816e-01  1.367e+00  4.638e-02 
- -2.828e-03  1.554e-02  1.648e-02  4.638e-02  1.937e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49395   1.000 -0.251  0.189 -0.305 -0.275
-        2  0.90095  -0.251  1.000  0.482  0.786  0.899
-        3  0.63094   0.189  0.482  1.000  0.459  0.526
-        4  0.90514  -0.305  0.786  0.459  1.000  0.901
-        5  0.95480  -0.275  0.899  0.526  0.901  1.000
-400
-403.064 +- 0.233269
-9.18055 +- 0.392591
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24885.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.11264e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.79480e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39340e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.92985e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.63355e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM MIGRAD    STATUS=CONVERGED     428 CALLS         429 TOTAL
-                     EDM=7.26443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02955e+02   2.19114e-01   6.87184e-04  -4.52991e-01
-   2  sg_p1        9.16571e+00   3.57674e-01   2.86480e-03  -1.28599e-01
-   3  sg_p2        3.99199e+02   7.40925e-01   6.46031e-04   5.84783e-01
-   4  sg_p3        2.16431e+01   1.21207e+00   1.45003e-03  -5.04696e-01
-   5  sg_p4        6.62907e-01   4.05793e-02   2.83164e-03   1.71367e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.801e-02 -2.192e-02  2.514e-02 -8.718e-02 -2.692e-03 
- -2.192e-02  1.281e-01  1.292e-01  3.393e-01  1.300e-02 
-  2.514e-02  1.292e-01  5.490e-01  4.252e-01  1.618e-02 
- -8.718e-02  3.393e-01  4.252e-01  1.470e+00  4.429e-02 
- -2.692e-03  1.300e-02  1.618e-02  4.429e-02  1.651e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49883   1.000 -0.280  0.155 -0.328 -0.302
-        2  0.89599  -0.280  1.000  0.487  0.782  0.894
-        3  0.63326   0.155  0.487  1.000  0.473  0.538
-        4  0.90259  -0.328  0.782  0.473  1.000  0.899
-        5  0.95237  -0.302  0.894  0.538  0.899  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM HESSE     STATUS=OK             31 CALLS         460 TOTAL
-                     EDM=7.27657e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02955e+02   2.19385e-01   1.37437e-04   9.86503e-02
-   2  sg_p1        9.16571e+00   3.58424e-01   5.72960e-04   2.76226e-02
-   3  sg_p2        3.99199e+02   7.37765e-01   1.29206e-04   2.54932e+00
-   4  sg_p3        2.16431e+01   1.21551e+00   2.90006e-04  -9.85719e-01
-   5  sg_p4        6.62907e-01   4.06836e-02   5.66328e-04   3.31874e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.813e-02 -2.225e-02  2.533e-02 -8.836e-02 -2.729e-03 
- -2.225e-02  1.286e-01  1.275e-01  3.414e-01  1.307e-02 
-  2.533e-02  1.275e-01  5.443e-01  4.191e-01  1.598e-02 
- -8.836e-02  3.414e-01  4.191e-01  1.478e+00  4.455e-02 
- -2.729e-03  1.307e-02  1.598e-02  4.455e-02  1.659e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50069   1.000 -0.283  0.157 -0.331 -0.305
-        2  0.89645  -0.283  1.000  0.482  0.783  0.895
-        3  0.62918   0.157  0.482  1.000  0.467  0.532
-        4  0.90317  -0.331  0.783  0.467  1.000  0.900
-        5  0.95262  -0.305  0.895  0.532  0.900  1.000
-400
-402.955 +- 0.219385
-9.16571 +- 0.358424
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22933.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.87100e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.93992e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39002e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.82300e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50242e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM MIGRAD    STATUS=CONVERGED     449 CALLS         450 TOTAL
-                     EDM=1.18063e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.33943e-01   7.06213e-04   9.04520e-02
-   2  sg_p1        9.10686e+00   3.76352e-01   2.94856e-03  -2.29097e-02
-   3  sg_p2        3.99344e+02   7.27483e-01   6.18170e-04  -1.42732e-01
-   4  sg_p3        2.14204e+01   1.15968e+00   1.38769e-03   7.24703e-02
-   5  sg_p4        6.41123e-01   4.21101e-02   2.84478e-03  -3.40374e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.473e-02 -2.306e-02  3.001e-02 -8.509e-02 -2.816e-03 
- -2.306e-02  1.418e-01  1.295e-01  3.363e-01  1.412e-02 
-  3.001e-02  1.295e-01  5.292e-01  3.838e-01  1.605e-02 
- -8.509e-02  3.363e-01  3.838e-01  1.345e+00  4.369e-02 
- -2.816e-03  1.412e-02  1.605e-02  4.369e-02  1.778e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49289   1.000 -0.262  0.176 -0.314 -0.285
-        2  0.89116  -0.262  1.000  0.473  0.770  0.889
-        3  0.62460   0.176  0.473  1.000  0.455  0.523
-        4  0.89709  -0.314  0.770  0.455  1.000  0.893
-        5  0.94991  -0.285  0.889  0.523  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM HESSE     STATUS=OK             31 CALLS         481 TOTAL
-                     EDM=1.18704e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.34247e-01   1.41243e-04   1.01255e-01
-   2  sg_p1        9.10686e+00   3.78028e-01   1.17943e-04   1.78107e-02
-   3  sg_p2        3.99344e+02   7.25174e-01   1.23634e-04   2.54779e+00
-   4  sg_p3        2.14204e+01   1.16522e+00   5.55076e-05  -9.91505e-01
-   5  sg_p4        6.41123e-01   4.23208e-02   5.68957e-04   2.86134e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.487e-02 -2.352e-02  3.007e-02 -8.655e-02 -2.868e-03 
- -2.352e-02  1.431e-01  1.286e-01  3.403e-01  1.427e-02 
-  3.007e-02  1.286e-01  5.259e-01  3.804e-01  1.593e-02 
- -8.655e-02  3.403e-01  3.804e-01  1.358e+00  4.417e-02 
- -2.868e-03  1.427e-02  1.593e-02  4.417e-02  1.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49488   1.000 -0.265  0.177 -0.317 -0.289
-        2  0.89218  -0.265  1.000  0.469  0.772  0.890
-        3  0.62148   0.177  0.469  1.000  0.450  0.519
-        4  0.89813  -0.317  0.772  0.450  1.000  0.894
-        5  0.95042  -0.289  0.890  0.519  0.894  1.000
-400
-403.032 +- 0.234247
-9.10686 +- 0.378028
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26088.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.25521e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.24913e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.58204e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.06494e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.44374e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.85098 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (43592.9) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=411.751, sg_p1=10.1393, sg_p2=221.646, sg_p3=12.3173, sg_p4=0.392797
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=352.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=355.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=358.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=361.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=364.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=367.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=370.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=373.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=376.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=379.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=382.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=385.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-    ... (remaining 23 messages suppressed)
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM MIGRAD    STATUS=CONVERGED     410 CALLS         411 TOTAL
-                     EDM=8.53169e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.19508e-01   7.06641e-04   2.77604e-01
-   2  sg_p1        9.13654e+00   3.52245e-01   2.95146e-03   6.85002e-02
-   3  sg_p2        3.99251e+02   6.94391e-01   6.24869e-04  -5.23482e-02
-   4  sg_p3        2.15673e+01   1.10701e+00   1.40379e-03   1.05606e-01
-   5  sg_p4        6.42963e-01   3.92422e-02   2.83913e-03  -5.31174e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.818e-02 -2.053e-02  2.561e-02 -7.720e-02 -2.495e-03 
- -2.053e-02  1.242e-01  1.174e-01  3.004e-01  1.231e-02 
-  2.561e-02  1.174e-01  4.822e-01  3.562e-01  1.450e-02 
- -7.720e-02  3.004e-01  3.562e-01  1.226e+00  3.884e-02 
- -2.495e-03  1.231e-02  1.450e-02  3.884e-02  1.543e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49407   1.000 -0.265  0.168 -0.318 -0.289
-        2  0.89076  -0.265  1.000  0.480  0.770  0.889
-        3  0.62968   0.168  0.480  1.000  0.463  0.531
-        4  0.89677  -0.318  0.770  0.463  1.000  0.893
-        5  0.94966  -0.289  0.889  0.531  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM HESSE     STATUS=OK             31 CALLS         442 TOTAL
-                     EDM=8.53668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.19804e-01   1.41328e-04   1.01235e-01
-   2  sg_p1        9.13654e+00   3.53820e-01   1.18058e-04   2.27585e-02
-   3  sg_p2        3.99251e+02   6.92171e-01   1.24974e-04   2.54877e+00
-   4  sg_p3        2.15673e+01   1.11233e+00   5.61518e-05  -9.87685e-01
-   5  sg_p4        6.42963e-01   3.94399e-02   5.67827e-04   2.89973e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.831e-02 -2.094e-02  2.565e-02 -7.854e-02 -2.542e-03 
- -2.094e-02  1.253e-01  1.167e-01  3.040e-01  1.244e-02 
-  2.565e-02  1.167e-01  4.791e-01  3.532e-01  1.440e-02 
- -7.854e-02  3.040e-01  3.532e-01  1.238e+00  3.927e-02 
- -2.542e-03  1.244e-02  1.440e-02  3.927e-02  1.559e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49612   1.000 -0.269  0.169 -0.321 -0.293
-        2  0.89179  -0.269  1.000  0.476  0.772  0.890
-        3  0.62659   0.169  0.476  1.000  0.459  0.527
-        4  0.89781  -0.321  0.772  0.459  1.000  0.894
-        5  0.95017  -0.293  0.890  0.527  0.894  1.000
-400
-403.032 +- 0.219804
-9.13654 +- 0.35382
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 403.031 +- 0.226798 (stat) - 0.376479 + 0.504637 (syst); -0.393186/+0.517221 (total)
-   Uncertainty on sg_p1 = 9.12153 +- 0.364169 (stat) - 0.014669 + 0.138994 (syst); -0.182675/+0.229073 (total)
-   Uncertainty on sg_p2 = 399.298 +- 0.70675 (stat) - 1.07894 + 0.548609 (syst); -1.13534/+0.652569 (total)
-   Uncertainty on sg_p3 = 21.4947 +- 1.13406 (stat) - 0.134294 + 0.783059 (syst); -0.582718/+0.966802 (total)
-   Uncertainty on sg_p4 = 0.642062 +- 0.0406652 (stat) - 0.00580743 + 0.0455621 (syst); -0.0211457/+0.049893 (total) 
-   === Baseline plot === </br>
-   norm = 790.651
-JEC     lnN   1.00381  -
-JER     lnN   1.01925  -
-btag    lnN   1.06523  -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt
deleted file mode 100644
index 1b07531..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1083.26 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06507    -
-JER       lnN     1.01521   - 
-JEC       lnN     1.00732   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01846991095   -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/pdf.log
deleted file mode 100644
index 823f341..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.42219 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=3.69018e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.61838e+01   2.04083e+00   2.68103e-03  -9.45046e-06
-   2  Mean         1.00001e+00   2.14045e-03   3.36992e-06  -5.72729e-03
-   3  Sigma        1.84699e-02   1.55576e-03   3.84421e-05  -9.86497e-04
-1.00001004927 +/- 0.00214044725813
-0.0184699109466 +/- 0.00155575701095
-PDF lnN 1.01846991095
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/signal450_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/signal450_sig.log
deleted file mode 100644
index 758dffb..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_crystal_1_285_624/signal450_sig.log
+++ /dev/null
@@ -1,849 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   9.40956e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.15795e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   5.60158e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.43253e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.02042e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=3.59834e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.33700e+02   5.20779e-01   1.28024e-03  -4.50888e-02
-   2  sg_p1        2.45512e+01   4.32325e-01   2.13929e-03   2.15071e-02
-   3  sg_p2        4.10000e+02   7.56422e-01   1.62500e-02** at limit **
-   4  sg_p3        9.59075e+01   9.76509e+00   3.57927e-02  -4.80697e-03
-   5  sg_p4        8.98300e-01   1.09856e-02   2.31920e-03   1.35348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.712e-01 -3.295e-02 -7.320e-06 -1.029e+00 -1.066e-03 
- -3.295e-02  1.870e-01  4.421e-06  1.512e+00  2.106e-03 
- -7.320e-06  4.421e-06  3.900e-05  3.605e-04  1.357e-07 
- -1.029e+00  1.512e+00  3.605e-04  1.055e+02  6.647e-02 
- -1.066e-03  2.106e-03  1.357e-07  6.647e-02  1.207e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22083   1.000 -0.146 -0.002 -0.192 -0.186
-        2  0.45738  -0.146  1.000  0.002  0.340  0.443
-        3  0.00601  -0.002  0.002  1.000  0.006  0.002
-        4  0.60064  -0.192  0.340  0.006  1.000  0.589
-        5  0.64515  -0.186  0.443  0.002  0.589  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=3.62828e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.33700e+02   5.22464e-01   2.56047e-04  -3.28756e-01
-   2  sg_p1        2.45512e+01   4.36897e-01   8.55715e-05   3.54316e-01
-   3  sg_p2        4.10000e+02   7.56439e-01   3.24999e-03  -1.56999e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.59075e+01   1.00551e+01   1.43171e-03   1.14101e+00
-   5  sg_p4        8.98300e-01   1.13202e-02   4.63840e-04   9.21649e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.730e-01 -3.575e-02 -2.151e-06 -1.151e+00 -1.179e-03 
- -3.575e-02  1.909e-01  1.441e-06  1.696e+00  2.279e-03 
- -2.151e-06  1.441e-06  3.900e-05  1.093e-04  4.737e-08 
- -1.151e+00  1.696e+00  1.093e-04  1.126e+02  7.452e-02 
- -1.179e-03  2.279e-03  4.737e-08  7.452e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23428   1.000 -0.157 -0.001 -0.208 -0.199
-        2  0.47504  -0.157  1.000  0.001  0.366  0.461
-        3  0.00175  -0.001  0.001  1.000  0.002  0.001
-        4  0.63167  -0.208  0.366  0.002  1.000  0.620
-        5  0.67100  -0.199  0.461  0.001  0.620  1.000
-450
-433.7 +- 0.522464
-24.5512 +- 0.436897
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14967 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   7.30094e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -7.17086e+01
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   4.92262e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   1.24799e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.52207e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM MIGRAD    STATUS=CONVERGED     225 CALLS         226 TOTAL
-                     EDM=1.40963e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.35880e+02   5.28453e-01   1.25742e-03   3.65467e-02
-   2  sg_p1        2.47804e+01   4.36143e-01   2.15058e-03   8.90109e-02
-   3  sg_p2        4.10000e+02   8.41699e-01   1.71227e-02** at limit **
-   4  sg_p3        9.34154e+01   9.89175e+00   2.81029e-02   3.92610e-03
-   5  sg_p4        9.04757e-01   1.10728e-02   2.34320e-03  -1.13912e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.793e-01 -4.062e-02 -3.574e-06 -1.243e+00 -1.334e-03 
- -4.062e-02  1.903e-01  1.963e-06  1.596e+00  2.205e-03 
- -3.574e-06  1.963e-06  1.004e-05  1.505e-04  5.291e-08 
- -1.243e+00  1.596e+00  1.505e-04  1.043e+02  6.945e-02 
- -1.334e-03  2.205e-03  5.291e-08  6.945e-02  1.227e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26417   1.000 -0.176 -0.002 -0.230 -0.228
-        2  0.47132  -0.176  1.000  0.001  0.358  0.457
-        3  0.00513  -0.002  0.001  1.000  0.005  0.002
-        4  0.62620  -0.230  0.358  0.005  1.000  0.614
-        5  0.66724  -0.228  0.457  0.002  0.614  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM HESSE     STATUS=OK             31 CALLS         257 TOTAL
-                     EDM=1.45125e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.35880e+02   5.30103e-01   2.51483e-04  -2.63606e-01
-   2  sg_p1        2.47804e+01   4.39593e-01   4.30116e-04   3.69632e-01
-   3  sg_p2        4.10000e+02   8.41739e-01   3.42455e-03  -1.57118e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.34154e+01   1.01144e+01   1.12412e-03   1.02300e+00
-   5  sg_p4        9.04757e-01   1.13218e-02   9.37280e-05   9.43325e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.810e-01 -4.308e-02 -6.126e-07 -1.344e+00 -1.432e-03 
- -4.308e-02  1.933e-01  3.606e-07  1.730e+00  2.336e-03 
- -6.126e-07  3.606e-07  1.004e-05  2.633e-05  1.041e-08 
- -1.344e+00  1.730e+00  2.633e-05  1.094e+02  7.528e-02 
- -1.432e-03  2.336e-03  1.041e-08  7.528e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27490   1.000 -0.185 -0.000 -0.242 -0.238
-        2  0.48405  -0.185  1.000  0.000  0.376  0.469
-        3  0.00087  -0.000  0.000  1.000  0.001  0.000
-        4  0.64751  -0.242  0.376  0.001  1.000  0.636
-        5  0.68509  -0.238  0.469  0.000  0.636  1.000
-450
-435.88 +- 0.530103
-24.7804 +- 0.439593
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14989.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   1.09913e+03
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.79281e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   6.15691e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.35305e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.43184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM MIGRAD    STATUS=CONVERGED     259 CALLS         260 TOTAL
-                     EDM=2.88948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.31562e+02   5.09368e-01   1.30052e-03  -5.36209e-02
-   2  sg_p1        2.44193e+01   3.99415e-01   2.10037e-03   1.06473e-02
-   3  sg_p2        4.10000e+02   7.22690e-01   1.57718e-02** at limit **
-   4  sg_p3        1.00000e+02   1.55471e+01   7.04637e-02** at limit **
-   5  sg_p4        8.97810e-01   8.75371e-03   2.28074e-03   2.04575e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.470e-02 -3.574e-07  3.497e-04 -3.281e-04 
- -1.470e-02  1.596e-01 -3.286e-08 -5.660e-04  1.020e-03 
- -3.574e-07 -3.286e-08  5.312e-07 -1.926e-08 -7.103e-09 
-  3.497e-04 -5.660e-04 -1.926e-08  1.262e-03 -2.615e-05 
- -3.281e-04  1.020e-03 -7.103e-09 -2.615e-05  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09157   1.000 -0.072 -0.001  0.019 -0.074
-        2  0.29639  -0.072  1.000 -0.000 -0.040  0.292
-        3  0.00174  -0.001 -0.000  1.000 -0.001 -0.001
-        4  0.08650   0.019 -0.040 -0.001  1.000 -0.084
-        5  0.30486  -0.074  0.292 -0.001 -0.084  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM HESSE     STATUS=OK             31 CALLS         291 TOTAL
-                     EDM=2.76365e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.31562e+02   5.09297e-01   2.60104e-04  -3.94063e-01
-   2  sg_p1        2.44193e+01   3.99210e-01   8.40147e-05   3.45541e-01
-   3  sg_p2        4.10000e+02   7.22718e-01   3.15436e-03  -1.57070e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        1.00000e+02   1.57628e+01   1.40927e-02   1.56988e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   5  sg_p4        8.97810e-01   8.72528e-03   9.12295e-05   9.20031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.594e-01 -1.474e-02 -7.385e-08  6.324e-05 -3.205e-04 
- -1.474e-02  1.594e-01 -8.717e-09 -1.029e-04  1.011e-03 
- -7.385e-08 -8.717e-09  5.312e-07 -7.301e-10 -1.575e-09 
-  6.324e-05 -1.029e-04 -7.301e-10  1.280e-03 -4.742e-06 
- -3.205e-04  1.011e-03 -1.575e-09 -4.742e-06  7.615e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09005   1.000 -0.072 -0.000  0.003 -0.072
-        2  0.29480  -0.072  1.000 -0.000 -0.007  0.290
-        3  0.00033  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.01563   0.003 -0.007 -0.000  1.000 -0.015
-        5  0.29498  -0.072  0.290 -0.000 -0.015  1.000
-450
-431.562 +- 0.509297
-24.4193 +- 0.39921
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12740.9 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.59626e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.90307e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.30862e+02
-   4  sg_p3        3.11611e+01   1.40000e+01  -7.72180e-01   1.25776e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.90098e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.72857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53121e+02   3.12103e-01   7.60916e-04  -1.37805e-01
-   2  sg_p1        1.32664e+01   3.51765e-01   1.66864e-03  -1.59663e-01
-   3  sg_p2        4.41850e+02   2.88341e+00   3.42150e-03  -4.30161e-02
-   4  sg_p3        3.99520e+01   3.27521e+00   2.78644e-03  -1.95155e-02
-   5  sg_p4        8.69549e-01   2.03464e-02   2.42525e-03   7.02356e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.741e-02 -2.019e-02 -5.897e-02 -2.380e-01 -1.352e-03 
- -2.019e-02  1.238e-01 -4.014e-01  6.784e-01  5.251e-03 
- -5.897e-02 -4.014e-01  8.322e+00 -4.133e+00 -2.949e-02 
- -2.380e-01  6.784e-01 -4.133e+00  1.074e+01  5.122e-02 
- -1.352e-03  5.251e-03 -2.949e-02  5.122e-02  4.145e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32114   1.000 -0.184 -0.066 -0.233 -0.213
-        2  0.73542  -0.184  1.000 -0.395  0.588  0.733
-        3  0.54335  -0.066 -0.395  1.000 -0.437 -0.502
-        4  0.77539  -0.233  0.588 -0.437  1.000  0.768
-        5  0.85259  -0.213  0.733 -0.502  0.768  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=1.73002e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53121e+02   3.12202e-01   1.52183e-04   1.04231e-01
-   2  sg_p1        1.32664e+01   3.54275e-01   3.33728e-04  -6.67445e-02
-   3  sg_p2        4.41850e+02   2.90658e+00   6.84300e-04   1.24877e-01
-   4  sg_p3        3.99520e+01   3.31061e+00   1.11458e-04  -6.09081e-01
-   5  sg_p4        8.69549e-01   2.05823e-02   4.85050e-04   8.31731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.747e-02 -2.060e-02 -5.492e-02 -2.421e-01 -1.378e-03 
- -2.060e-02  1.256e-01 -4.183e-01  6.988e-01  5.382e-03 
- -5.492e-02 -4.183e-01  8.456e+00 -4.334e+00 -3.074e-02 
- -2.421e-01  6.988e-01 -4.334e+00  1.097e+01  5.275e-02 
- -1.378e-03  5.382e-03 -3.074e-02  5.275e-02  4.242e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32202   1.000 -0.186 -0.060 -0.234 -0.214
-        2  0.73982  -0.186  1.000 -0.406  0.595  0.738
-        3  0.55356  -0.060 -0.406  1.000 -0.450 -0.513
-        4  0.78084  -0.234  0.595 -0.450  1.000  0.773
-        5  0.85624  -0.214  0.738 -0.513  0.773  1.000
-450
-453.121 +- 0.312202
-13.2664 +- 0.354275
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.2 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.71963e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.47720e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.59810e+02
-   4  sg_p3        3.20356e+01   1.40000e+01  -7.54886e-01   1.25318e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.92447e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=5.05245e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53816e+02   3.21132e-01   7.83772e-04  -7.95633e-02
-   2  sg_p1        1.33997e+01   3.69195e-01   1.71799e-03   1.80096e-01
-   3  sg_p2        4.44337e+02   2.53515e+00   3.11461e-03  -5.82291e-02
-   4  sg_p3        3.80604e+01   2.91065e+00   2.47607e-03   7.49358e-02
-   5  sg_p4        8.58912e-01   2.26324e-02   2.50700e-03  -6.85706e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.031e-01 -2.126e-02 -8.734e-02 -2.148e-01 -1.521e-03 
- -2.126e-02  1.364e-01 -3.383e-01  6.405e-01  6.246e-03 
- -8.734e-02 -3.383e-01  6.432e+00 -2.789e+00 -2.624e-02 
- -2.148e-01  6.405e-01 -2.789e+00  8.480e+00  5.167e-02 
- -1.521e-03  6.246e-03 -2.624e-02  5.167e-02  5.129e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33218   1.000 -0.179 -0.107 -0.230 -0.209
-        2  0.74782  -0.179  1.000 -0.361  0.596  0.747
-        3  0.50601  -0.107 -0.361  1.000 -0.378 -0.457
-        4  0.78747  -0.230  0.596 -0.378  1.000  0.784
-        5  0.86569  -0.209  0.747 -0.457  0.784  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=5.14272e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53816e+02   3.21170e-01   1.56754e-04   1.27552e-01
-   2  sg_p1        1.33997e+01   3.71529e-01   3.43597e-04  -5.45997e-02
-   3  sg_p2        4.44337e+02   2.55137e+00   6.22923e-04   1.70589e-01
-   4  sg_p3        3.80604e+01   2.93737e+00   9.90429e-05  -6.42423e-01
-   5  sg_p4        8.58912e-01   2.28649e-02   5.01401e-04   8.00670e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.032e-01 -2.159e-02 -8.447e-02 -2.173e-01 -1.542e-03 
- -2.159e-02  1.381e-01 -3.519e-01  6.569e-01  6.381e-03 
- -8.447e-02 -3.519e-01  6.514e+00 -2.922e+00 -2.730e-02 
- -2.173e-01  6.569e-01 -2.922e+00  8.636e+00  5.298e-02 
- -1.542e-03  6.381e-03 -2.730e-02  5.298e-02  5.236e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33250   1.000 -0.181 -0.103 -0.230 -0.210
-        2  0.75151  -0.181  1.000 -0.371  0.602  0.750
-        3  0.51526  -0.103 -0.371  1.000 -0.390 -0.467
-        4  0.79182  -0.230  0.602 -0.390  1.000  0.788
-        5  0.86862  -0.210  0.750 -0.467  0.788  1.000
-450
-453.816 +- 0.32117
-13.3997 +- 0.371529
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12450.5 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -7.89096e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.29312e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.41083e+02
-   4  sg_p3        2.97404e+01   1.40000e+01  -8.00916e-01   5.32420e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.78505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=9.81901e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.52649e+02   2.99257e-01   7.27117e-04  -1.85651e-01
-   2  sg_p1        1.29215e+01   3.26230e-01   1.60240e-03  -1.04599e-01
-   3  sg_p2        4.39500e+02   3.30234e+00   3.79402e-03  -2.47036e-02
-   4  sg_p3        4.23678e+01   3.70551e+00   3.18328e-03  -2.16927e-02
-   5  sg_p4        8.78387e-01   1.75288e-02   2.31775e-03   5.63843e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.956e-02 -1.634e-02 -3.809e-02 -2.386e-01 -1.021e-03 
- -1.634e-02  1.065e-01 -4.382e-01  6.785e-01  4.010e-03 
- -3.809e-02 -4.382e-01  1.092e+01 -5.893e+00 -3.008e-02 
- -2.386e-01  6.785e-01 -5.893e+00  1.375e+01  4.755e-02 
- -1.021e-03  4.010e-03 -3.008e-02  4.755e-02  3.076e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29182   1.000 -0.167 -0.039 -0.215 -0.195
-        2  0.70607  -0.167  1.000 -0.406  0.561  0.701
-        3  0.56523  -0.039 -0.406  1.000 -0.481 -0.519
-        4  0.74887  -0.215  0.561 -0.481  1.000  0.731
-        5  0.82206  -0.195  0.701 -0.519  0.731  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM HESSE     STATUS=OK             31 CALLS         249 TOTAL
-                     EDM=9.82123e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.52649e+02   2.99376e-01   1.45423e-04   8.84175e-02
-   2  sg_p1        1.29215e+01   3.28560e-01   3.20481e-04  -9.82038e-02
-   3  sg_p2        4.39500e+02   3.33339e+00   7.58805e-04   8.19031e-02
-   4  sg_p3        4.23678e+01   3.74990e+00   1.27331e-04  -5.67592e-01
-   5  sg_p4        8.78387e-01   1.77374e-02   4.63550e-04   8.58362e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.963e-02 -1.673e-02 -3.321e-02 -2.436e-01 -1.045e-03 
- -1.673e-02  1.080e-01 -4.573e-01  7.011e-01  4.116e-03 
- -3.321e-02 -4.573e-01  1.113e+01 -6.187e+00 -3.140e-02 
- -2.436e-01  7.011e-01 -6.187e+00  1.408e+01  4.914e-02 
- -1.045e-03  4.116e-03 -3.140e-02  4.914e-02  3.149e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29306   1.000 -0.170 -0.033 -0.217 -0.197
-        2  0.71107  -0.170  1.000 -0.417  0.569  0.706
-        3  0.57630  -0.033 -0.417  1.000 -0.494 -0.531
-        4  0.75573  -0.217  0.569 -0.494  1.000  0.738
-        5  0.82667  -0.197  0.706 -0.531  0.738  1.000
-450
-452.649 +- 0.299376
-12.9215 +- 0.32856
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12485 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.28524e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.76932e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.07179e+02
-   4  sg_p3        3.15199e+01   1.40000e+01  -7.65049e-01   1.17013e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.75418e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=8.2003e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53041e+02   3.16233e-01   7.67663e-04  -4.53747e-01
-   2  sg_p1        1.34606e+01   3.60067e-01   1.68094e-03  -2.56821e-01
-   3  sg_p2        4.42647e+02   3.03755e+00   3.65255e-03  -7.93949e-02
-   4  sg_p3        4.13701e+01   3.70699e+00   3.03411e-03  -1.62102e-02
-   5  sg_p4        8.74490e-01   2.02974e-02   2.42550e-03   1.44185e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.000e-01 -1.902e-02 -8.059e-02 -2.487e-01 -1.247e-03 
- -1.902e-02  1.297e-01 -4.096e-01  8.024e-01  5.385e-03 
- -8.059e-02 -4.096e-01  9.236e+00 -4.749e+00 -2.911e-02 
- -2.487e-01  8.024e-01 -4.749e+00  1.376e+01  5.850e-02 
- -1.247e-03  5.385e-03 -2.911e-02  5.850e-02  4.125e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30405   1.000 -0.167 -0.084 -0.212 -0.194
-        2  0.73858  -0.167  1.000 -0.374  0.601  0.736
-        3  0.51688  -0.084 -0.374  1.000 -0.421 -0.472
-        4  0.78361  -0.212  0.601 -0.421  1.000  0.776
-        5  0.85381  -0.194  0.736 -0.472  0.776  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM HESSE     STATUS=OK             31 CALLS         238 TOTAL
-                     EDM=8.28097e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53041e+02   3.16314e-01   1.53533e-04   1.01529e-01
-   2  sg_p1        1.34606e+01   3.62947e-01   3.36188e-04  -4.90533e-02
-   3  sg_p2        4.42647e+02   3.06302e+00   7.30509e-04   1.39482e-01
-   4  sg_p3        4.13701e+01   3.75314e+00   1.21364e-04  -5.84588e-01
-   5  sg_p4        8.74490e-01   2.05612e-02   4.85100e-04   8.46520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.001e-01 -1.944e-02 -7.634e-02 -2.533e-01 -1.273e-03 
- -1.944e-02  1.318e-01 -4.295e-01  8.293e-01  5.535e-03 
- -7.634e-02 -4.295e-01  9.392e+00 -5.013e+00 -3.054e-02 
- -2.533e-01  8.293e-01 -5.013e+00  1.411e+01  6.046e-02 
- -1.273e-03  5.535e-03 -3.054e-02  6.046e-02  4.233e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30482   1.000 -0.169 -0.079 -0.213 -0.196
-        2  0.74343  -0.169  1.000 -0.386  0.608  0.741
-        3  0.52851  -0.079 -0.386  1.000 -0.436 -0.484
-        4  0.78960  -0.213  0.608 -0.436  1.000  0.782
-        5  0.85785  -0.196  0.741 -0.484  0.782  1.000
-450
-453.041 +- 0.316314
-13.4606 +- 0.362947
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.1 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.34152e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.79811e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -1.07673e+03
-   4  sg_p3        2.91978e+01   1.40000e+01  -8.12117e-01  -1.15313e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.79673e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM MIGRAD    STATUS=CONVERGED     214 CALLS         215 TOTAL
-                     EDM=2.54338e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53203e+02   3.05272e-01   7.48199e-04   1.37509e-01
-   2  sg_p1        1.33442e+01   3.36784e-01   1.63030e-03  -1.73887e-01
-   3  sg_p2        4.40023e+02   3.36501e+00   3.85092e-03  -4.69572e-02
-   4  sg_p3        4.14043e+01   3.72019e+00   3.17044e-03  -1.58965e-02
-   5  sg_p4        8.85415e-01   1.84477e-02   2.39174e-03   8.69592e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.319e-02 -1.886e-02 -3.146e-02 -2.700e-01 -1.210e-03 
- -1.886e-02  1.135e-01 -4.902e-01  7.251e-01  4.482e-03 
- -3.146e-02 -4.902e-01  1.134e+01 -6.160e+00 -3.421e-02 
- -2.700e-01  7.251e-01 -6.160e+00  1.386e+01  5.193e-02 
- -1.210e-03  4.482e-03 -3.421e-02  5.193e-02  3.407e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31564   1.000 -0.183 -0.031 -0.238 -0.215
-        2  0.72421  -0.183  1.000 -0.432  0.578  0.721
-        3  0.58870  -0.031 -0.432  1.000 -0.491 -0.551
-        4  0.76796  -0.238  0.578 -0.491  1.000  0.756
-        5  0.84414  -0.215  0.721 -0.551  0.756  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM HESSE     STATUS=OK             31 CALLS         246 TOTAL
-                     EDM=2.55427e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53203e+02   3.05429e-01   1.49640e-04   1.06973e-01
-   2  sg_p1        1.33442e+01   3.39511e-01   3.26061e-04  -5.96515e-02
-   3  sg_p2        4.40023e+02   3.39967e+00   7.70184e-04   9.14550e-02
-   4  sg_p3        4.14043e+01   3.76783e+00   1.26818e-04  -5.84003e-01
-   5  sg_p4        8.85415e-01   1.86940e-02   4.78349e-04   8.80144e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.329e-02 -1.935e-02 -2.553e-02 -2.761e-01 -1.241e-03 
- -1.935e-02  1.153e-01 -5.124e-01  7.508e-01  4.612e-03 
- -2.553e-02 -5.124e-01  1.157e+01 -6.480e+00 -3.578e-02 
- -2.761e-01  7.508e-01 -6.480e+00  1.422e+01  5.377e-02 
- -1.241e-03  4.612e-03 -3.578e-02  5.377e-02  3.499e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31711   1.000 -0.187 -0.025 -0.240 -0.217
-        2  0.72945  -0.187  1.000 -0.444  0.586  0.726
-        3  0.59988  -0.025 -0.444  1.000 -0.505 -0.562
-        4  0.77464  -0.240  0.586 -0.505  1.000  0.762
-        5  0.84859  -0.217  0.726 -0.562  0.762  1.000
-450
-453.203 +- 0.305429
-13.3442 +- 0.339511
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11934 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.21817e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.66012e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.28921e+02
-   4  sg_p3        3.02910e+01   1.40000e+01  -7.89682e-01   6.24982e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.41964e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=3.59163e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53125e+02   3.22437e-01   7.59830e-04   3.14030e-01
-   2  sg_p1        1.32568e+01   3.64776e-01   1.66662e-03   1.31711e-01
-   3  sg_p2        4.41914e+02   2.96380e+00   3.40318e-03  -1.73168e-02
-   4  sg_p3        3.96954e+01   3.35557e+00   2.76524e-03  -2.51020e-02
-   5  sg_p4        8.69980e-01   2.12003e-02   2.43138e-03   2.99659e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.192e-02 -6.249e-02 -2.549e-01 -1.475e-03 
- -2.192e-02  1.331e-01 -4.296e-01  7.236e-01  5.697e-03 
- -6.249e-02 -4.296e-01  8.793e+00 -4.343e+00 -3.167e-02 
- -2.549e-01  7.236e-01 -4.343e+00  1.127e+01  5.485e-02 
- -1.475e-03  5.697e-03 -3.167e-02  5.485e-02  4.500e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32406   1.000 -0.186 -0.065 -0.235 -0.216
-        2  0.73815  -0.186  1.000 -0.397  0.591  0.736
-        3  0.54427  -0.065 -0.397  1.000 -0.436 -0.503
-        4  0.77722  -0.235  0.591 -0.436  1.000  0.770
-        5  0.85485  -0.216  0.736 -0.503  0.770  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=3.63213e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53125e+02   3.22540e-01   1.51966e-04   1.04341e-01
-   2  sg_p1        1.32568e+01   3.67383e-01   3.33325e-04  -6.76154e-02
-   3  sg_p2        4.41914e+02   2.98753e+00   6.80636e-04   1.26049e-01
-   4  sg_p3        3.96954e+01   3.39157e+00   1.10610e-04  -6.13558e-01
-   5  sg_p4        8.69980e-01   2.14457e-02   4.86276e-04   8.33011e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.236e-02 -5.816e-02 -2.592e-01 -1.503e-03 
- -2.236e-02  1.350e-01 -4.476e-01  7.452e-01  5.838e-03 
- -5.816e-02 -4.476e-01  8.934e+00 -4.553e+00 -3.300e-02 
- -2.592e-01  7.452e-01 -4.553e+00  1.152e+01  5.647e-02 
- -1.503e-03  5.838e-03 -3.300e-02  5.647e-02  4.605e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32494   1.000 -0.189 -0.060 -0.237 -0.217
-        2  0.74250  -0.189  1.000 -0.408  0.598  0.740
-        3  0.55442  -0.060 -0.408  1.000 -0.449 -0.514
-        4  0.78258  -0.237  0.598 -0.449  1.000  0.775
-        5  0.85843  -0.217  0.740 -0.514  0.775  1.000
-450
-453.125 +- 0.32254
-13.2568 +- 0.367383
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13588.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.01194e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.14820e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.36931e+02
-   4  sg_p3        3.19529e+01   1.40000e+01  -7.56508e-01   1.83311e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.40586e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=2.9635e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53119e+02   3.02295e-01   7.61866e-04  -3.75062e-01
-   2  sg_p1        1.32780e+01   3.39541e-01   1.67011e-03  -9.46376e-02
-   3  sg_p2        4.41784e+02   2.80838e+00   3.43889e-03  -7.54198e-02
-   4  sg_p3        4.02094e+01   3.20169e+00   2.80752e-03   5.20848e-02
-   5  sg_p4        8.69165e-01   1.95466e-02   2.41927e-03  -3.07790e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.139e-02 -1.864e-02 -5.556e-02 -2.229e-01 -1.243e-03 
- -1.864e-02  1.153e-01 -3.761e-01  6.379e-01  4.851e-03 
- -5.556e-02 -3.761e-01  7.894e+00 -3.947e+00 -2.754e-02 
- -2.229e-01  6.379e-01 -3.947e+00  1.026e+01  4.798e-02 
- -1.243e-03  4.851e-03 -2.754e-02  4.798e-02  3.825e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31836   1.000 -0.182 -0.065 -0.230 -0.210
-        2  0.73280  -0.182  1.000 -0.394  0.586  0.730
-        3  0.54277  -0.065 -0.394  1.000 -0.439 -0.501
-        4  0.77378  -0.230  0.586 -0.439  1.000  0.766
-        5  0.85046  -0.210  0.730 -0.501  0.766  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM HESSE     STATUS=OK             31 CALLS         237 TOTAL
-                     EDM=2.98129e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53119e+02   3.02390e-01   1.52373e-04   1.04142e-01
-   2  sg_p1        1.32780e+01   3.41962e-01   3.34022e-04  -6.56836e-02
-   3  sg_p2        4.41784e+02   2.83105e+00   6.87778e-04   1.23663e-01
-   4  sg_p3        4.02094e+01   3.23660e+00   1.12301e-04  -6.04605e-01
-   5  sg_p4        8.69165e-01   1.97739e-02   4.83854e-04   8.30589e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.144e-02 -1.903e-02 -5.175e-02 -2.268e-01 -1.268e-03 
- -1.903e-02  1.170e-01 -3.920e-01  6.571e-01  4.973e-03 
- -5.175e-02 -3.920e-01  8.022e+00 -4.140e+00 -2.871e-02 
- -2.268e-01  6.571e-01 -4.140e+00  1.049e+01  4.942e-02 
- -1.268e-03  4.973e-03 -2.871e-02  4.942e-02  3.915e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31924   1.000 -0.184 -0.060 -0.232 -0.212
-        2  0.73725  -0.184  1.000 -0.405  0.593  0.735
-        3  0.55306  -0.060 -0.405  1.000 -0.451 -0.512
-        4  0.77932  -0.232  0.593 -0.451  1.000  0.771
-        5  0.85417  -0.212  0.735 -0.512  0.771  1.000
-450
-453.119 +- 0.30239
-13.278 +- 0.341962
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 72 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 80 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 453.121 +- 0.312202 (stat) - 0.472204 + 0.694919 (syst); -0.497337/+0.712236 (total)
-   Uncertainty on sg_p1 = 13.2664 +- 0.354275 (stat) - 0.344861 + 0.194275 (syst); -0.387695/+0.262907 (total)
-   Uncertainty on sg_p2 = 441.85 +- 2.90658 (stat) - 2.35076 + 2.48654 (syst); -2.76371/+2.88009 (total)
-   Uncertainty on sg_p3 = 39.952 +- 3.31061 (stat) - 1.8916 + 2.41576 (syst); -2.5136/+2.92847 (total)
-   Uncertainty on sg_p4 = 0.869549 +- 0.0205823 (stat) - 0.0106377 + 0.015866 (syst); -0.0148009/+0.0189113 (total) 
-   === Baseline plot === </br>
-   norm = 1083.26
-JEC     lnN   1.00732  -
-JER     lnN   1.01521  -
-btag    lnN   1.06507  -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt
deleted file mode 100644
index ef7832d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1083.26 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06507    -
-JER       lnN     1.01521   - 
-JEC       lnN     1.00732   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01846991095   -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/pdf.log
deleted file mode 100644
index 823f341..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.42219 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=3.69018e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.61838e+01   2.04083e+00   2.68103e-03  -9.45046e-06
-   2  Mean         1.00001e+00   2.14045e-03   3.36992e-06  -5.72729e-03
-   3  Sigma        1.84699e-02   1.55576e-03   3.84421e-05  -9.86497e-04
-1.00001004927 +/- 0.00214044725813
-0.0184699109466 +/- 0.00155575701095
-PDF lnN 1.01846991095
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/signal450_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/signal450_sig.log
deleted file mode 100644
index 758dffb..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_450_novo_285_624/signal450_sig.log
+++ /dev/null
@@ -1,849 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   9.40956e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.15795e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   5.60158e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.43253e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.02042e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=3.59834e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.33700e+02   5.20779e-01   1.28024e-03  -4.50888e-02
-   2  sg_p1        2.45512e+01   4.32325e-01   2.13929e-03   2.15071e-02
-   3  sg_p2        4.10000e+02   7.56422e-01   1.62500e-02** at limit **
-   4  sg_p3        9.59075e+01   9.76509e+00   3.57927e-02  -4.80697e-03
-   5  sg_p4        8.98300e-01   1.09856e-02   2.31920e-03   1.35348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.712e-01 -3.295e-02 -7.320e-06 -1.029e+00 -1.066e-03 
- -3.295e-02  1.870e-01  4.421e-06  1.512e+00  2.106e-03 
- -7.320e-06  4.421e-06  3.900e-05  3.605e-04  1.357e-07 
- -1.029e+00  1.512e+00  3.605e-04  1.055e+02  6.647e-02 
- -1.066e-03  2.106e-03  1.357e-07  6.647e-02  1.207e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22083   1.000 -0.146 -0.002 -0.192 -0.186
-        2  0.45738  -0.146  1.000  0.002  0.340  0.443
-        3  0.00601  -0.002  0.002  1.000  0.006  0.002
-        4  0.60064  -0.192  0.340  0.006  1.000  0.589
-        5  0.64515  -0.186  0.443  0.002  0.589  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=3.62828e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.33700e+02   5.22464e-01   2.56047e-04  -3.28756e-01
-   2  sg_p1        2.45512e+01   4.36897e-01   8.55715e-05   3.54316e-01
-   3  sg_p2        4.10000e+02   7.56439e-01   3.24999e-03  -1.56999e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.59075e+01   1.00551e+01   1.43171e-03   1.14101e+00
-   5  sg_p4        8.98300e-01   1.13202e-02   4.63840e-04   9.21649e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.730e-01 -3.575e-02 -2.151e-06 -1.151e+00 -1.179e-03 
- -3.575e-02  1.909e-01  1.441e-06  1.696e+00  2.279e-03 
- -2.151e-06  1.441e-06  3.900e-05  1.093e-04  4.737e-08 
- -1.151e+00  1.696e+00  1.093e-04  1.126e+02  7.452e-02 
- -1.179e-03  2.279e-03  4.737e-08  7.452e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23428   1.000 -0.157 -0.001 -0.208 -0.199
-        2  0.47504  -0.157  1.000  0.001  0.366  0.461
-        3  0.00175  -0.001  0.001  1.000  0.002  0.001
-        4  0.63167  -0.208  0.366  0.002  1.000  0.620
-        5  0.67100  -0.199  0.461  0.001  0.620  1.000
-450
-433.7 +- 0.522464
-24.5512 +- 0.436897
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14967 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   7.30094e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -7.17086e+01
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   4.92262e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   1.24799e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.52207e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM MIGRAD    STATUS=CONVERGED     225 CALLS         226 TOTAL
-                     EDM=1.40963e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.35880e+02   5.28453e-01   1.25742e-03   3.65467e-02
-   2  sg_p1        2.47804e+01   4.36143e-01   2.15058e-03   8.90109e-02
-   3  sg_p2        4.10000e+02   8.41699e-01   1.71227e-02** at limit **
-   4  sg_p3        9.34154e+01   9.89175e+00   2.81029e-02   3.92610e-03
-   5  sg_p4        9.04757e-01   1.10728e-02   2.34320e-03  -1.13912e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.793e-01 -4.062e-02 -3.574e-06 -1.243e+00 -1.334e-03 
- -4.062e-02  1.903e-01  1.963e-06  1.596e+00  2.205e-03 
- -3.574e-06  1.963e-06  1.004e-05  1.505e-04  5.291e-08 
- -1.243e+00  1.596e+00  1.505e-04  1.043e+02  6.945e-02 
- -1.334e-03  2.205e-03  5.291e-08  6.945e-02  1.227e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26417   1.000 -0.176 -0.002 -0.230 -0.228
-        2  0.47132  -0.176  1.000  0.001  0.358  0.457
-        3  0.00513  -0.002  0.001  1.000  0.005  0.002
-        4  0.62620  -0.230  0.358  0.005  1.000  0.614
-        5  0.66724  -0.228  0.457  0.002  0.614  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM HESSE     STATUS=OK             31 CALLS         257 TOTAL
-                     EDM=1.45125e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.35880e+02   5.30103e-01   2.51483e-04  -2.63606e-01
-   2  sg_p1        2.47804e+01   4.39593e-01   4.30116e-04   3.69632e-01
-   3  sg_p2        4.10000e+02   8.41739e-01   3.42455e-03  -1.57118e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.34154e+01   1.01144e+01   1.12412e-03   1.02300e+00
-   5  sg_p4        9.04757e-01   1.13218e-02   9.37280e-05   9.43325e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.810e-01 -4.308e-02 -6.126e-07 -1.344e+00 -1.432e-03 
- -4.308e-02  1.933e-01  3.606e-07  1.730e+00  2.336e-03 
- -6.126e-07  3.606e-07  1.004e-05  2.633e-05  1.041e-08 
- -1.344e+00  1.730e+00  2.633e-05  1.094e+02  7.528e-02 
- -1.432e-03  2.336e-03  1.041e-08  7.528e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27490   1.000 -0.185 -0.000 -0.242 -0.238
-        2  0.48405  -0.185  1.000  0.000  0.376  0.469
-        3  0.00087  -0.000  0.000  1.000  0.001  0.000
-        4  0.64751  -0.242  0.376  0.001  1.000  0.636
-        5  0.68509  -0.238  0.469  0.000  0.636  1.000
-450
-435.88 +- 0.530103
-24.7804 +- 0.439593
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14989.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   1.09913e+03
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.79281e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   6.15691e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.35305e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.43184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM MIGRAD    STATUS=CONVERGED     259 CALLS         260 TOTAL
-                     EDM=2.88948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.31562e+02   5.09368e-01   1.30052e-03  -5.36209e-02
-   2  sg_p1        2.44193e+01   3.99415e-01   2.10037e-03   1.06473e-02
-   3  sg_p2        4.10000e+02   7.22690e-01   1.57718e-02** at limit **
-   4  sg_p3        1.00000e+02   1.55471e+01   7.04637e-02** at limit **
-   5  sg_p4        8.97810e-01   8.75371e-03   2.28074e-03   2.04575e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.470e-02 -3.574e-07  3.497e-04 -3.281e-04 
- -1.470e-02  1.596e-01 -3.286e-08 -5.660e-04  1.020e-03 
- -3.574e-07 -3.286e-08  5.312e-07 -1.926e-08 -7.103e-09 
-  3.497e-04 -5.660e-04 -1.926e-08  1.262e-03 -2.615e-05 
- -3.281e-04  1.020e-03 -7.103e-09 -2.615e-05  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09157   1.000 -0.072 -0.001  0.019 -0.074
-        2  0.29639  -0.072  1.000 -0.000 -0.040  0.292
-        3  0.00174  -0.001 -0.000  1.000 -0.001 -0.001
-        4  0.08650   0.019 -0.040 -0.001  1.000 -0.084
-        5  0.30486  -0.074  0.292 -0.001 -0.084  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM HESSE     STATUS=OK             31 CALLS         291 TOTAL
-                     EDM=2.76365e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.31562e+02   5.09297e-01   2.60104e-04  -3.94063e-01
-   2  sg_p1        2.44193e+01   3.99210e-01   8.40147e-05   3.45541e-01
-   3  sg_p2        4.10000e+02   7.22718e-01   3.15436e-03  -1.57070e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        1.00000e+02   1.57628e+01   1.40927e-02   1.56988e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   5  sg_p4        8.97810e-01   8.72528e-03   9.12295e-05   9.20031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.594e-01 -1.474e-02 -7.385e-08  6.324e-05 -3.205e-04 
- -1.474e-02  1.594e-01 -8.717e-09 -1.029e-04  1.011e-03 
- -7.385e-08 -8.717e-09  5.312e-07 -7.301e-10 -1.575e-09 
-  6.324e-05 -1.029e-04 -7.301e-10  1.280e-03 -4.742e-06 
- -3.205e-04  1.011e-03 -1.575e-09 -4.742e-06  7.615e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09005   1.000 -0.072 -0.000  0.003 -0.072
-        2  0.29480  -0.072  1.000 -0.000 -0.007  0.290
-        3  0.00033  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.01563   0.003 -0.007 -0.000  1.000 -0.015
-        5  0.29498  -0.072  0.290 -0.000 -0.015  1.000
-450
-431.562 +- 0.509297
-24.4193 +- 0.39921
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12740.9 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.59626e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.90307e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.30862e+02
-   4  sg_p3        3.11611e+01   1.40000e+01  -7.72180e-01   1.25776e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.90098e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.72857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53121e+02   3.12103e-01   7.60916e-04  -1.37805e-01
-   2  sg_p1        1.32664e+01   3.51765e-01   1.66864e-03  -1.59663e-01
-   3  sg_p2        4.41850e+02   2.88341e+00   3.42150e-03  -4.30161e-02
-   4  sg_p3        3.99520e+01   3.27521e+00   2.78644e-03  -1.95155e-02
-   5  sg_p4        8.69549e-01   2.03464e-02   2.42525e-03   7.02356e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.741e-02 -2.019e-02 -5.897e-02 -2.380e-01 -1.352e-03 
- -2.019e-02  1.238e-01 -4.014e-01  6.784e-01  5.251e-03 
- -5.897e-02 -4.014e-01  8.322e+00 -4.133e+00 -2.949e-02 
- -2.380e-01  6.784e-01 -4.133e+00  1.074e+01  5.122e-02 
- -1.352e-03  5.251e-03 -2.949e-02  5.122e-02  4.145e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32114   1.000 -0.184 -0.066 -0.233 -0.213
-        2  0.73542  -0.184  1.000 -0.395  0.588  0.733
-        3  0.54335  -0.066 -0.395  1.000 -0.437 -0.502
-        4  0.77539  -0.233  0.588 -0.437  1.000  0.768
-        5  0.85259  -0.213  0.733 -0.502  0.768  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=1.73002e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53121e+02   3.12202e-01   1.52183e-04   1.04231e-01
-   2  sg_p1        1.32664e+01   3.54275e-01   3.33728e-04  -6.67445e-02
-   3  sg_p2        4.41850e+02   2.90658e+00   6.84300e-04   1.24877e-01
-   4  sg_p3        3.99520e+01   3.31061e+00   1.11458e-04  -6.09081e-01
-   5  sg_p4        8.69549e-01   2.05823e-02   4.85050e-04   8.31731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.747e-02 -2.060e-02 -5.492e-02 -2.421e-01 -1.378e-03 
- -2.060e-02  1.256e-01 -4.183e-01  6.988e-01  5.382e-03 
- -5.492e-02 -4.183e-01  8.456e+00 -4.334e+00 -3.074e-02 
- -2.421e-01  6.988e-01 -4.334e+00  1.097e+01  5.275e-02 
- -1.378e-03  5.382e-03 -3.074e-02  5.275e-02  4.242e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32202   1.000 -0.186 -0.060 -0.234 -0.214
-        2  0.73982  -0.186  1.000 -0.406  0.595  0.738
-        3  0.55356  -0.060 -0.406  1.000 -0.450 -0.513
-        4  0.78084  -0.234  0.595 -0.450  1.000  0.773
-        5  0.85624  -0.214  0.738 -0.513  0.773  1.000
-450
-453.121 +- 0.312202
-13.2664 +- 0.354275
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.2 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.71963e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.47720e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.59810e+02
-   4  sg_p3        3.20356e+01   1.40000e+01  -7.54886e-01   1.25318e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.92447e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=5.05245e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53816e+02   3.21132e-01   7.83772e-04  -7.95633e-02
-   2  sg_p1        1.33997e+01   3.69195e-01   1.71799e-03   1.80096e-01
-   3  sg_p2        4.44337e+02   2.53515e+00   3.11461e-03  -5.82291e-02
-   4  sg_p3        3.80604e+01   2.91065e+00   2.47607e-03   7.49358e-02
-   5  sg_p4        8.58912e-01   2.26324e-02   2.50700e-03  -6.85706e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.031e-01 -2.126e-02 -8.734e-02 -2.148e-01 -1.521e-03 
- -2.126e-02  1.364e-01 -3.383e-01  6.405e-01  6.246e-03 
- -8.734e-02 -3.383e-01  6.432e+00 -2.789e+00 -2.624e-02 
- -2.148e-01  6.405e-01 -2.789e+00  8.480e+00  5.167e-02 
- -1.521e-03  6.246e-03 -2.624e-02  5.167e-02  5.129e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33218   1.000 -0.179 -0.107 -0.230 -0.209
-        2  0.74782  -0.179  1.000 -0.361  0.596  0.747
-        3  0.50601  -0.107 -0.361  1.000 -0.378 -0.457
-        4  0.78747  -0.230  0.596 -0.378  1.000  0.784
-        5  0.86569  -0.209  0.747 -0.457  0.784  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=5.14272e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53816e+02   3.21170e-01   1.56754e-04   1.27552e-01
-   2  sg_p1        1.33997e+01   3.71529e-01   3.43597e-04  -5.45997e-02
-   3  sg_p2        4.44337e+02   2.55137e+00   6.22923e-04   1.70589e-01
-   4  sg_p3        3.80604e+01   2.93737e+00   9.90429e-05  -6.42423e-01
-   5  sg_p4        8.58912e-01   2.28649e-02   5.01401e-04   8.00670e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.032e-01 -2.159e-02 -8.447e-02 -2.173e-01 -1.542e-03 
- -2.159e-02  1.381e-01 -3.519e-01  6.569e-01  6.381e-03 
- -8.447e-02 -3.519e-01  6.514e+00 -2.922e+00 -2.730e-02 
- -2.173e-01  6.569e-01 -2.922e+00  8.636e+00  5.298e-02 
- -1.542e-03  6.381e-03 -2.730e-02  5.298e-02  5.236e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33250   1.000 -0.181 -0.103 -0.230 -0.210
-        2  0.75151  -0.181  1.000 -0.371  0.602  0.750
-        3  0.51526  -0.103 -0.371  1.000 -0.390 -0.467
-        4  0.79182  -0.230  0.602 -0.390  1.000  0.788
-        5  0.86862  -0.210  0.750 -0.467  0.788  1.000
-450
-453.816 +- 0.32117
-13.3997 +- 0.371529
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12450.5 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -7.89096e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.29312e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.41083e+02
-   4  sg_p3        2.97404e+01   1.40000e+01  -8.00916e-01   5.32420e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.78505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=9.81901e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.52649e+02   2.99257e-01   7.27117e-04  -1.85651e-01
-   2  sg_p1        1.29215e+01   3.26230e-01   1.60240e-03  -1.04599e-01
-   3  sg_p2        4.39500e+02   3.30234e+00   3.79402e-03  -2.47036e-02
-   4  sg_p3        4.23678e+01   3.70551e+00   3.18328e-03  -2.16927e-02
-   5  sg_p4        8.78387e-01   1.75288e-02   2.31775e-03   5.63843e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.956e-02 -1.634e-02 -3.809e-02 -2.386e-01 -1.021e-03 
- -1.634e-02  1.065e-01 -4.382e-01  6.785e-01  4.010e-03 
- -3.809e-02 -4.382e-01  1.092e+01 -5.893e+00 -3.008e-02 
- -2.386e-01  6.785e-01 -5.893e+00  1.375e+01  4.755e-02 
- -1.021e-03  4.010e-03 -3.008e-02  4.755e-02  3.076e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29182   1.000 -0.167 -0.039 -0.215 -0.195
-        2  0.70607  -0.167  1.000 -0.406  0.561  0.701
-        3  0.56523  -0.039 -0.406  1.000 -0.481 -0.519
-        4  0.74887  -0.215  0.561 -0.481  1.000  0.731
-        5  0.82206  -0.195  0.701 -0.519  0.731  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM HESSE     STATUS=OK             31 CALLS         249 TOTAL
-                     EDM=9.82123e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.52649e+02   2.99376e-01   1.45423e-04   8.84175e-02
-   2  sg_p1        1.29215e+01   3.28560e-01   3.20481e-04  -9.82038e-02
-   3  sg_p2        4.39500e+02   3.33339e+00   7.58805e-04   8.19031e-02
-   4  sg_p3        4.23678e+01   3.74990e+00   1.27331e-04  -5.67592e-01
-   5  sg_p4        8.78387e-01   1.77374e-02   4.63550e-04   8.58362e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.963e-02 -1.673e-02 -3.321e-02 -2.436e-01 -1.045e-03 
- -1.673e-02  1.080e-01 -4.573e-01  7.011e-01  4.116e-03 
- -3.321e-02 -4.573e-01  1.113e+01 -6.187e+00 -3.140e-02 
- -2.436e-01  7.011e-01 -6.187e+00  1.408e+01  4.914e-02 
- -1.045e-03  4.116e-03 -3.140e-02  4.914e-02  3.149e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29306   1.000 -0.170 -0.033 -0.217 -0.197
-        2  0.71107  -0.170  1.000 -0.417  0.569  0.706
-        3  0.57630  -0.033 -0.417  1.000 -0.494 -0.531
-        4  0.75573  -0.217  0.569 -0.494  1.000  0.738
-        5  0.82667  -0.197  0.706 -0.531  0.738  1.000
-450
-452.649 +- 0.299376
-12.9215 +- 0.32856
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12485 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.28524e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.76932e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.07179e+02
-   4  sg_p3        3.15199e+01   1.40000e+01  -7.65049e-01   1.17013e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.75418e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=8.2003e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53041e+02   3.16233e-01   7.67663e-04  -4.53747e-01
-   2  sg_p1        1.34606e+01   3.60067e-01   1.68094e-03  -2.56821e-01
-   3  sg_p2        4.42647e+02   3.03755e+00   3.65255e-03  -7.93949e-02
-   4  sg_p3        4.13701e+01   3.70699e+00   3.03411e-03  -1.62102e-02
-   5  sg_p4        8.74490e-01   2.02974e-02   2.42550e-03   1.44185e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.000e-01 -1.902e-02 -8.059e-02 -2.487e-01 -1.247e-03 
- -1.902e-02  1.297e-01 -4.096e-01  8.024e-01  5.385e-03 
- -8.059e-02 -4.096e-01  9.236e+00 -4.749e+00 -2.911e-02 
- -2.487e-01  8.024e-01 -4.749e+00  1.376e+01  5.850e-02 
- -1.247e-03  5.385e-03 -2.911e-02  5.850e-02  4.125e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30405   1.000 -0.167 -0.084 -0.212 -0.194
-        2  0.73858  -0.167  1.000 -0.374  0.601  0.736
-        3  0.51688  -0.084 -0.374  1.000 -0.421 -0.472
-        4  0.78361  -0.212  0.601 -0.421  1.000  0.776
-        5  0.85381  -0.194  0.736 -0.472  0.776  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM HESSE     STATUS=OK             31 CALLS         238 TOTAL
-                     EDM=8.28097e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53041e+02   3.16314e-01   1.53533e-04   1.01529e-01
-   2  sg_p1        1.34606e+01   3.62947e-01   3.36188e-04  -4.90533e-02
-   3  sg_p2        4.42647e+02   3.06302e+00   7.30509e-04   1.39482e-01
-   4  sg_p3        4.13701e+01   3.75314e+00   1.21364e-04  -5.84588e-01
-   5  sg_p4        8.74490e-01   2.05612e-02   4.85100e-04   8.46520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.001e-01 -1.944e-02 -7.634e-02 -2.533e-01 -1.273e-03 
- -1.944e-02  1.318e-01 -4.295e-01  8.293e-01  5.535e-03 
- -7.634e-02 -4.295e-01  9.392e+00 -5.013e+00 -3.054e-02 
- -2.533e-01  8.293e-01 -5.013e+00  1.411e+01  6.046e-02 
- -1.273e-03  5.535e-03 -3.054e-02  6.046e-02  4.233e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30482   1.000 -0.169 -0.079 -0.213 -0.196
-        2  0.74343  -0.169  1.000 -0.386  0.608  0.741
-        3  0.52851  -0.079 -0.386  1.000 -0.436 -0.484
-        4  0.78960  -0.213  0.608 -0.436  1.000  0.782
-        5  0.85785  -0.196  0.741 -0.484  0.782  1.000
-450
-453.041 +- 0.316314
-13.4606 +- 0.362947
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.1 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.34152e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.79811e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -1.07673e+03
-   4  sg_p3        2.91978e+01   1.40000e+01  -8.12117e-01  -1.15313e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.79673e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM MIGRAD    STATUS=CONVERGED     214 CALLS         215 TOTAL
-                     EDM=2.54338e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53203e+02   3.05272e-01   7.48199e-04   1.37509e-01
-   2  sg_p1        1.33442e+01   3.36784e-01   1.63030e-03  -1.73887e-01
-   3  sg_p2        4.40023e+02   3.36501e+00   3.85092e-03  -4.69572e-02
-   4  sg_p3        4.14043e+01   3.72019e+00   3.17044e-03  -1.58965e-02
-   5  sg_p4        8.85415e-01   1.84477e-02   2.39174e-03   8.69592e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.319e-02 -1.886e-02 -3.146e-02 -2.700e-01 -1.210e-03 
- -1.886e-02  1.135e-01 -4.902e-01  7.251e-01  4.482e-03 
- -3.146e-02 -4.902e-01  1.134e+01 -6.160e+00 -3.421e-02 
- -2.700e-01  7.251e-01 -6.160e+00  1.386e+01  5.193e-02 
- -1.210e-03  4.482e-03 -3.421e-02  5.193e-02  3.407e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31564   1.000 -0.183 -0.031 -0.238 -0.215
-        2  0.72421  -0.183  1.000 -0.432  0.578  0.721
-        3  0.58870  -0.031 -0.432  1.000 -0.491 -0.551
-        4  0.76796  -0.238  0.578 -0.491  1.000  0.756
-        5  0.84414  -0.215  0.721 -0.551  0.756  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM HESSE     STATUS=OK             31 CALLS         246 TOTAL
-                     EDM=2.55427e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53203e+02   3.05429e-01   1.49640e-04   1.06973e-01
-   2  sg_p1        1.33442e+01   3.39511e-01   3.26061e-04  -5.96515e-02
-   3  sg_p2        4.40023e+02   3.39967e+00   7.70184e-04   9.14550e-02
-   4  sg_p3        4.14043e+01   3.76783e+00   1.26818e-04  -5.84003e-01
-   5  sg_p4        8.85415e-01   1.86940e-02   4.78349e-04   8.80144e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.329e-02 -1.935e-02 -2.553e-02 -2.761e-01 -1.241e-03 
- -1.935e-02  1.153e-01 -5.124e-01  7.508e-01  4.612e-03 
- -2.553e-02 -5.124e-01  1.157e+01 -6.480e+00 -3.578e-02 
- -2.761e-01  7.508e-01 -6.480e+00  1.422e+01  5.377e-02 
- -1.241e-03  4.612e-03 -3.578e-02  5.377e-02  3.499e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31711   1.000 -0.187 -0.025 -0.240 -0.217
-        2  0.72945  -0.187  1.000 -0.444  0.586  0.726
-        3  0.59988  -0.025 -0.444  1.000 -0.505 -0.562
-        4  0.77464  -0.240  0.586 -0.505  1.000  0.762
-        5  0.84859  -0.217  0.726 -0.562  0.762  1.000
-450
-453.203 +- 0.305429
-13.3442 +- 0.339511
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11934 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.21817e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.66012e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.28921e+02
-   4  sg_p3        3.02910e+01   1.40000e+01  -7.89682e-01   6.24982e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.41964e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=3.59163e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53125e+02   3.22437e-01   7.59830e-04   3.14030e-01
-   2  sg_p1        1.32568e+01   3.64776e-01   1.66662e-03   1.31711e-01
-   3  sg_p2        4.41914e+02   2.96380e+00   3.40318e-03  -1.73168e-02
-   4  sg_p3        3.96954e+01   3.35557e+00   2.76524e-03  -2.51020e-02
-   5  sg_p4        8.69980e-01   2.12003e-02   2.43138e-03   2.99659e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.192e-02 -6.249e-02 -2.549e-01 -1.475e-03 
- -2.192e-02  1.331e-01 -4.296e-01  7.236e-01  5.697e-03 
- -6.249e-02 -4.296e-01  8.793e+00 -4.343e+00 -3.167e-02 
- -2.549e-01  7.236e-01 -4.343e+00  1.127e+01  5.485e-02 
- -1.475e-03  5.697e-03 -3.167e-02  5.485e-02  4.500e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32406   1.000 -0.186 -0.065 -0.235 -0.216
-        2  0.73815  -0.186  1.000 -0.397  0.591  0.736
-        3  0.54427  -0.065 -0.397  1.000 -0.436 -0.503
-        4  0.77722  -0.235  0.591 -0.436  1.000  0.770
-        5  0.85485  -0.216  0.736 -0.503  0.770  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=3.63213e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53125e+02   3.22540e-01   1.51966e-04   1.04341e-01
-   2  sg_p1        1.32568e+01   3.67383e-01   3.33325e-04  -6.76154e-02
-   3  sg_p2        4.41914e+02   2.98753e+00   6.80636e-04   1.26049e-01
-   4  sg_p3        3.96954e+01   3.39157e+00   1.10610e-04  -6.13558e-01
-   5  sg_p4        8.69980e-01   2.14457e-02   4.86276e-04   8.33011e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.236e-02 -5.816e-02 -2.592e-01 -1.503e-03 
- -2.236e-02  1.350e-01 -4.476e-01  7.452e-01  5.838e-03 
- -5.816e-02 -4.476e-01  8.934e+00 -4.553e+00 -3.300e-02 
- -2.592e-01  7.452e-01 -4.553e+00  1.152e+01  5.647e-02 
- -1.503e-03  5.838e-03 -3.300e-02  5.647e-02  4.605e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32494   1.000 -0.189 -0.060 -0.237 -0.217
-        2  0.74250  -0.189  1.000 -0.408  0.598  0.740
-        3  0.55442  -0.060 -0.408  1.000 -0.449 -0.514
-        4  0.78258  -0.237  0.598 -0.449  1.000  0.775
-        5  0.85843  -0.217  0.740 -0.514  0.775  1.000
-450
-453.125 +- 0.32254
-13.2568 +- 0.367383
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13588.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.01194e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.14820e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.36931e+02
-   4  sg_p3        3.19529e+01   1.40000e+01  -7.56508e-01   1.83311e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.40586e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=2.9635e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53119e+02   3.02295e-01   7.61866e-04  -3.75062e-01
-   2  sg_p1        1.32780e+01   3.39541e-01   1.67011e-03  -9.46376e-02
-   3  sg_p2        4.41784e+02   2.80838e+00   3.43889e-03  -7.54198e-02
-   4  sg_p3        4.02094e+01   3.20169e+00   2.80752e-03   5.20848e-02
-   5  sg_p4        8.69165e-01   1.95466e-02   2.41927e-03  -3.07790e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.139e-02 -1.864e-02 -5.556e-02 -2.229e-01 -1.243e-03 
- -1.864e-02  1.153e-01 -3.761e-01  6.379e-01  4.851e-03 
- -5.556e-02 -3.761e-01  7.894e+00 -3.947e+00 -2.754e-02 
- -2.229e-01  6.379e-01 -3.947e+00  1.026e+01  4.798e-02 
- -1.243e-03  4.851e-03 -2.754e-02  4.798e-02  3.825e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31836   1.000 -0.182 -0.065 -0.230 -0.210
-        2  0.73280  -0.182  1.000 -0.394  0.586  0.730
-        3  0.54277  -0.065 -0.394  1.000 -0.439 -0.501
-        4  0.77378  -0.230  0.586 -0.439  1.000  0.766
-        5  0.85046  -0.210  0.730 -0.501  0.766  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM HESSE     STATUS=OK             31 CALLS         237 TOTAL
-                     EDM=2.98129e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53119e+02   3.02390e-01   1.52373e-04   1.04142e-01
-   2  sg_p1        1.32780e+01   3.41962e-01   3.34022e-04  -6.56836e-02
-   3  sg_p2        4.41784e+02   2.83105e+00   6.87778e-04   1.23663e-01
-   4  sg_p3        4.02094e+01   3.23660e+00   1.12301e-04  -6.04605e-01
-   5  sg_p4        8.69165e-01   1.97739e-02   4.83854e-04   8.30589e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.144e-02 -1.903e-02 -5.175e-02 -2.268e-01 -1.268e-03 
- -1.903e-02  1.170e-01 -3.920e-01  6.571e-01  4.973e-03 
- -5.175e-02 -3.920e-01  8.022e+00 -4.140e+00 -2.871e-02 
- -2.268e-01  6.571e-01 -4.140e+00  1.049e+01  4.942e-02 
- -1.268e-03  4.973e-03 -2.871e-02  4.942e-02  3.915e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31924   1.000 -0.184 -0.060 -0.232 -0.212
-        2  0.73725  -0.184  1.000 -0.405  0.593  0.735
-        3  0.55306  -0.060 -0.405  1.000 -0.451 -0.512
-        4  0.77932  -0.232  0.593 -0.451  1.000  0.771
-        5  0.85417  -0.212  0.735 -0.512  0.771  1.000
-450
-453.119 +- 0.30239
-13.278 +- 0.341962
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 72 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 80 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 453.121 +- 0.312202 (stat) - 0.472204 + 0.694919 (syst); -0.497337/+0.712236 (total)
-   Uncertainty on sg_p1 = 13.2664 +- 0.354275 (stat) - 0.344861 + 0.194275 (syst); -0.387695/+0.262907 (total)
-   Uncertainty on sg_p2 = 441.85 +- 2.90658 (stat) - 2.35076 + 2.48654 (syst); -2.76371/+2.88009 (total)
-   Uncertainty on sg_p3 = 39.952 +- 3.31061 (stat) - 1.8916 + 2.41576 (syst); -2.5136/+2.92847 (total)
-   Uncertainty on sg_p4 = 0.869549 +- 0.0205823 (stat) - 0.0106377 + 0.015866 (syst); -0.0148009/+0.0189113 (total) 
-   === Baseline plot === </br>
-   norm = 1083.26
-JEC     lnN   1.00732  -
-JER     lnN   1.01521  -
-btag    lnN   1.06507  -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt
deleted file mode 100644
index 1b0b59a..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1319.62 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06496    -
-JER       lnN     1.01686   - 
-JEC       lnN     1.00347   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01997778164   -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/pdf.log
deleted file mode 100644
index 22b256a..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=7.73723 FROM MIGRAD    STATUS=CONVERGED      68 CALLS          69 TOTAL
-                     EDM=1.48553e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.55193e+01   2.01523e+00   2.33208e-03   3.31664e-05
-   2  Mean         9.99114e-01   2.37917e-03   3.42556e-06  -1.77868e-04
-   3  Sigma        1.99778e-02   2.01544e-03   4.15348e-05   8.52046e-04
-0.999114272503 +/- 0.00237917106011
-0.0199777816408 +/- 0.00201543879959
-PDF lnN 1.01997778164
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/signal500_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/signal500_sig.log
deleted file mode 100644
index 3014dec..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_crystal_1_285_624/signal500_sig.log
+++ /dev/null
@@ -1,916 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18297.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   4.88508e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.52283e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.04492e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.27139e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.31849e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM MIGRAD    STATUS=CONVERGED     270 CALLS         271 TOTAL
-                     EDM=0.000209103    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.82781e+02   4.91816e-01   1.54936e-03   4.63902e-01
-   2  sg_p1        2.77322e+01   3.77130e-01   2.11298e-03  -7.95545e-04
-   3  sg_p2        4.00000e+02   7.22234e+00   3.62181e-02   1.52038e-02
-   4  sg_p3        9.99995e+01   7.83688e+00   5.52124e-02  -1.33082e-02
-   5  sg_p4        9.49597e-01   5.34566e-03   2.17525e-03   3.38347e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.201e-02  7.239e-06  6.832e-04 -2.726e-04 
- -1.201e-02  1.423e-01 -5.971e-04  4.705e-05  4.980e-04 
-  7.239e-06 -5.971e-04  7.635e-03 -3.089e-06 -2.189e-05 
-  6.832e-04  4.705e-05 -3.089e-06  1.671e-02  2.174e-06 
- -2.726e-04  4.980e-04 -2.189e-05  2.174e-06  2.858e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11194   1.000 -0.065  0.000  0.011 -0.104
-        2  0.25018  -0.065  1.000 -0.018  0.001  0.247
-        3  0.04761   0.000 -0.018  1.000 -0.000 -0.047
-        4  0.01159   0.011  0.001 -0.000  1.000  0.003
-        5  0.26559  -0.104  0.247 -0.047  0.003  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM HESSE     STATUS=OK             31 CALLS         302 TOTAL
-                     EDM=0.000214101    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.82781e+02   4.91810e-01   3.09872e-04  -2.43026e-01
-   2  sg_p1        2.77322e+01   3.77150e-01   8.45194e-05   2.59399e-01
-   3  sg_p2        4.00000e+02   7.23045e+00   7.24363e-03  -1.56845e+00
-   4  sg_p3        9.99995e+01   7.86694e+00   1.10425e-02   1.56600e+00
-   5  sg_p4        9.49597e-01   5.34101e-03   4.35051e-04   1.11793e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.221e-02  2.317e-06  2.181e-05 -2.728e-04 
- -1.221e-02  1.423e-01 -1.751e-04  1.477e-06  4.978e-04 
-  2.317e-06 -1.751e-04  7.644e-03 -2.852e-08 -6.407e-06 
-  2.181e-05  1.477e-06 -2.852e-08  1.678e-02  6.944e-08 
- -2.728e-04  4.978e-04 -6.407e-06  6.944e-08  2.853e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11182   1.000 -0.066  0.000  0.000 -0.104
-        2  0.25038  -0.066  1.000 -0.005  0.000  0.247
-        3  0.01394   0.000 -0.005  1.000 -0.000 -0.014
-        4  0.00037   0.000  0.000 -0.000  1.000  0.000
-        5  0.26252  -0.104  0.247 -0.014  0.000  1.000
-500
-482.781 +- 0.49181
-27.7322 +- 0.37715
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18169.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   3.31882e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   8.82382e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   9.40789e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.28474e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.45518e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM MIGRAD    STATUS=CONVERGED     298 CALLS         299 TOTAL
-                     EDM=6.02039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.84762e+02   4.94191e-01   1.52434e-03   1.30913e-01
-   2  sg_p1        2.76557e+01   3.74902e-01   2.09728e-03   4.83776e-02
-   3  sg_p2        4.00000e+02   4.37949e+00   2.80592e-02** at limit **
-   4  sg_p3        9.99992e+01   6.41285e+01   1.21382e-01   2.55150e-03
-   5  sg_p4        9.47779e-01   5.38139e-03   2.15294e-03  -2.62881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.442e-01 -1.391e-02  1.965e-06  1.328e-02 -2.985e-04 
- -1.391e-02  1.406e-01 -2.130e-05 -8.696e-04  4.743e-04 
-  1.965e-06 -2.130e-05  4.142e-05 -4.503e-06 -8.642e-07 
-  1.328e-02 -8.696e-04 -4.503e-06  1.378e-01  3.311e-05 
- -2.985e-04  4.743e-04 -8.642e-07  3.311e-05  2.896e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14334   1.000 -0.075  0.001  0.072 -0.112
-        2  0.24021  -0.075  1.000 -0.009 -0.006  0.235
-        3  0.02528   0.001 -0.009  1.000 -0.002 -0.025
-        4  0.07681   0.072 -0.006 -0.002  1.000  0.017
-        5  0.25571  -0.112  0.235 -0.025  0.017  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM HESSE     STATUS=OK             35 CALLS         334 TOTAL
-                     EDM=5.16959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.84762e+02   5.00293e-01   3.04869e-04  -1.75493e-01
-   2  sg_p1        2.76557e+01   3.74977e-01   8.38911e-05   2.54605e-01
-   3  sg_p2        4.00000e+02   4.38207e+00   5.61185e-03  -1.57057e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.99992e+01   1.55865e+01   4.95239e-01   1.57658e+00
-   5  sg_p4        9.47779e-01   5.38465e-03   4.30589e-04   1.10968e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.503e-01 -1.437e-02 -1.054e-07  1.912e-02 -2.821e-04 
- -1.437e-02  1.406e-01 -4.527e-06 -8.788e-04  4.745e-04 
- -1.054e-07 -4.527e-06  4.144e-05 -1.618e-06 -1.856e-07 
-  1.912e-02 -8.788e-04 -1.618e-06  4.993e-02  5.148e-05 
- -2.821e-04  4.745e-04 -1.856e-07  5.148e-05  2.900e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21046   1.000 -0.077 -0.000  0.171 -0.105
-        2  0.24099  -0.077  1.000 -0.002 -0.010  0.235
-        3  0.00549  -0.000 -0.002  1.000 -0.001 -0.005
-        4  0.18195   0.171 -0.010 -0.001  1.000  0.043
-        5  0.25791  -0.105  0.235 -0.005  0.043  1.000
-500
-484.762 +- 0.500293
-27.6557 +- 0.374977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18067.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   6.30906e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.68366e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.15954e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.16092e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.26605e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=3.64156e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.80603e+02   4.87655e-01   1.55641e-03   1.00438e-01
-   2  sg_p1        2.73597e+01   3.75999e-01   2.07241e-03  -3.88766e-02
-   3  sg_p2        4.00000e+02   7.70615e+00   3.73444e-02  -1.20875e-02
-   4  sg_p3        9.99999e+01   9.07676e+00   5.91616e-02   4.30185e-03
-   5  sg_p4        9.52020e-01   5.29904e-03   2.18424e-03  -2.42849e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.252e-02  1.605e-06  3.978e-04 -2.735e-04 
- -1.252e-02  1.414e-01 -4.268e-04  1.441e-06  5.110e-04 
-  1.605e-06 -4.268e-04  5.890e-03 -4.600e-07 -1.533e-05 
-  3.978e-04  1.441e-06 -4.600e-07  2.758e-03  4.935e-07 
- -2.735e-04  5.110e-04 -1.533e-05  4.935e-07  2.809e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11523   1.000 -0.068  0.000  0.016 -0.106
-        2  0.25980  -0.068  1.000 -0.015  0.000  0.256
-        3  0.03828   0.000 -0.015  1.000 -0.000 -0.038
-        4  0.01591   0.016  0.000 -0.000  1.000  0.002
-        5  0.27342  -0.106  0.256 -0.038  0.002  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM HESSE     STATUS=OK             31 CALLS         311 TOTAL
-                     EDM=3.66903e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.80603e+02   4.87622e-01   3.11281e-04  -3.18584e-01
-   2  sg_p1        2.73597e+01   3.76029e-01   8.28962e-05   2.36108e-01
-   3  sg_p2        4.00000e+02   7.72173e+00   7.46888e-03  -1.57279e+00
-   4  sg_p3        9.99999e+01   9.11980e+00   1.18323e-02   1.57260e+00
-   5  sg_p4        9.52020e-01   5.29594e-03   8.73698e-05   1.12913e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.272e-02  2.233e-07  9.824e-05 -2.737e-04 
- -1.272e-02  1.414e-01 -4.487e-05  2.340e-07  5.111e-04 
-  2.233e-07 -4.487e-05  5.902e-03 -1.148e-08 -1.609e-06 
-  9.824e-05  2.340e-07 -1.148e-08  2.771e-03  1.224e-07 
- -2.737e-04  5.111e-04 -1.609e-06  1.224e-07  2.805e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11467   1.000 -0.069  0.000  0.004 -0.106
-        2  0.26008  -0.069  1.000 -0.002  0.000  0.257
-        3  0.00402   0.000 -0.002  1.000 -0.000 -0.004
-        4  0.00392   0.004  0.000 -0.000  1.000  0.000
-        5  0.27142  -0.106  0.257 -0.004  0.000  1.000
-500
-480.603 +- 0.487622
-27.3597 +- 0.376029
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16835.6 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.93448e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.78837e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66272e+02
-   4  sg_p3        4.24477e+01   1.40000e+01  -5.66239e-01   4.08068e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.94465e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.0123886    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03549e+02   3.01469e-01   1.32569e-03   7.22248e-02
-   2  sg_p1        1.64694e+01   2.69674e-01   1.82958e-03   1.11175e-01
-   3  sg_p2        4.52623e+02   1.84688e+01   1.67733e-02  -5.64013e-01
-   4  sg_p3        1.31659e+02   2.60244e+01   4.76520e-02  -2.04899e-01
-   5  sg_p4        9.27815e-01   7.08262e-03   2.04007e-03  -6.32432e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16163.1 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=1.39803e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03541e+02   3.02714e-01  -6.04564e-05  -2.41635e-02
-   2  sg_p1        1.64684e+01   2.71856e-01   1.82456e-04   2.35248e-02
-   3  sg_p2        4.54550e+02   1.81378e+01  -3.71817e-04   2.34305e-03
-   4  sg_p3        1.35056e+02   2.96709e+01   1.70336e-02  -8.15967e-03
-   5  sg_p4        9.27449e-01   7.04529e-03   2.19134e-05  -1.27756e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.164e-02 -7.657e-03 -1.012e-01 -1.679e+00 -7.191e-05 
- -7.657e-03  7.392e-02 -1.518e+00  2.592e+00  7.352e-04 
- -1.012e-01 -1.518e+00  3.340e+02 -8.231e+01 -5.363e-02 
- -1.679e+00  2.592e+00 -8.231e+01  1.069e+03 -1.492e-03 
- -7.191e-05  7.352e-04 -5.363e-02 -1.492e-03  4.965e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18907   1.000 -0.093 -0.018 -0.170 -0.034
-        2  0.49868  -0.093  1.000 -0.305  0.292  0.384
-        3  0.45946  -0.018 -0.305  1.000 -0.138 -0.416
-        4  0.36545  -0.170  0.292 -0.138  1.000 -0.006
-        5  0.51683  -0.034  0.384 -0.416 -0.006  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             39 CALLS         333 TOTAL
-                     EDM=4.95712e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03541e+02   3.01948e-01   1.32548e-03   1.78010e-01
-   2  sg_p1        1.64684e+01   2.69373e-01   1.82921e-03  -1.77589e-01
-   3  sg_p2        4.54550e+02   1.88889e+01   1.71373e-02  -4.39830e-01
-   4  sg_p3        1.35056e+02   2.91667e+01   5.83968e-02   9.05144e-01
-   5  sg_p4        9.27449e-01   7.08973e-03   2.04457e-03   1.02536e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.118e-02 -6.694e-03 -1.967e-01 -1.492e+00 -6.118e-05 
- -6.694e-03  7.258e-02 -1.499e+00  2.192e+00  7.371e-04 
- -1.967e-01 -1.499e+00  3.627e+02 -4.939e+01 -5.738e-02 
- -1.492e+00  2.192e+00 -4.939e+01  1.025e+03 -5.946e-03 
- -6.118e-05  7.371e-04 -5.738e-02 -5.946e-03  5.028e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17693   1.000 -0.082 -0.034 -0.154 -0.029
-        2  0.48331  -0.082  1.000 -0.292  0.254  0.386
-        3  0.45514  -0.034 -0.292  1.000 -0.081 -0.425
-        4  0.32411  -0.154  0.254 -0.081  1.000 -0.026
-        5  0.52326  -0.029  0.386 -0.425 -0.026  1.000
-500
-503.541 +- 0.301948
-16.4684 +- 0.269373
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16739.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.55651e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.48786e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.68451e+02
-   4  sg_p3        4.32221e+01   1.40000e+01  -5.53184e-01   1.18283e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.96034e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=8.68132e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.04220e+02   3.07707e-01   1.35237e-03   1.08303e-01
-   2  sg_p1        1.66795e+01   2.77507e-01   1.84894e-03   6.94551e-02
-   3  sg_p2        4.62822e+02   1.91078e+01   1.68854e-02  -1.14748e-02
-   4  sg_p3        1.35582e+02   3.03789e+01   6.57946e-02   1.08838e-02
-   5  sg_p4        9.28230e-01   7.23504e-03   2.06982e-03  -3.02724e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.469e-02 -7.947e-03 -3.583e-01 -1.715e+00 -8.078e-05 
- -7.947e-03  7.703e-02 -1.315e+00  2.634e+00  8.091e-04 
- -3.583e-01 -1.315e+00  3.708e+02  4.728e+01 -6.075e-02 
- -1.715e+00  2.634e+00  4.728e+01  1.145e+03  2.032e-03 
- -8.078e-05  8.091e-04 -6.075e-02  2.032e-03  5.236e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18853   1.000 -0.093 -0.060 -0.165 -0.036
-        2  0.50124  -0.093  1.000 -0.246  0.281  0.403
-        3  0.46006  -0.060 -0.246  1.000  0.073 -0.436
-        4  0.34759  -0.165  0.281  0.073  1.000  0.008
-        5  0.53639  -0.036  0.403 -0.436  0.008  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM HESSE     STATUS=OK             31 CALLS         345 TOTAL
-                     EDM=9.10947e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.04220e+02   3.08377e-01   2.70474e-04   2.12615e-01
-   2  sg_p1        1.66795e+01   2.80568e-01   3.69788e-04  -1.58971e-01
-   3  sg_p2        4.62822e+02   1.90695e+01   6.75418e-04  -3.45556e-01
-   4  sg_p3        1.35582e+02   3.07077e+01   2.63178e-03   9.17410e-01
-   5  sg_p4        9.28230e-01   7.23811e-03   4.13965e-04   1.02837e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.510e-02 -8.877e-03 -3.212e-01 -1.872e+00 -9.078e-05 
- -8.877e-03  7.873e-02 -1.370e+00  3.011e+00  8.254e-04 
- -3.212e-01 -1.370e+00  3.693e+02  2.368e+01 -6.065e-02 
- -1.872e+00  3.011e+00  2.368e+01  1.177e+03  7.626e-03 
- -9.078e-05  8.254e-04 -6.065e-02  7.626e-03  5.240e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19932   1.000 -0.103 -0.054 -0.177 -0.041
-        2  0.51720  -0.103  1.000 -0.254  0.313  0.406
-        3  0.45661  -0.054 -0.254  1.000  0.036 -0.436
-        4  0.36806  -0.177  0.313  0.036  1.000  0.031
-        5  0.53695  -0.041  0.406 -0.436  0.031  1.000
-500
-504.22 +- 0.308377
-16.6795 +- 0.280568
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.23108e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.18946e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.42436e+02
-   4  sg_p3        4.43542e+01   1.40000e+01  -5.34286e-01   2.49400e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.66244e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             37 CALLS         242 TOTAL
-                     EDM=0.000693776    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02838e+02   2.97826e-01   1.28795e-03  -1.05531e-02
-   2  sg_p1        1.60782e+01   2.67978e-01   1.80577e-03   2.44112e-02
-   3  sg_p2        4.64332e+02   1.37627e+01   1.17387e-02   2.07821e-01
-   4  sg_p3        1.14468e+02   2.01486e+01   2.64964e-02   5.48597e-02
-   5  sg_p4        9.27839e-01   7.15691e-03   2.03796e-03   1.57814e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15889.1 FROM MIGRAD    STATUS=CONVERGED     254 CALLS         255 TOTAL
-                     EDM=9.17556e-06    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.8 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02840e+02   2.97434e-01   8.32709e-05  -7.82024e-03
-   2  sg_p1        1.60782e+01   2.67892e-01  -2.85162e-06   4.43301e-03
-   3  sg_p2        4.63894e+02   1.38330e+01  -4.87307e-03  -3.70669e-03
-   4  sg_p3        1.14016e+02   1.92315e+01  -7.40995e-03  -1.25650e-02
-   5  sg_p4        9.27892e-01   7.16442e-03   2.06750e-04   1.26344e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.847e-02 -6.452e-03 -2.568e-01 -8.771e-01 -8.776e-05 
- -6.452e-03  7.178e-02 -9.238e-01  1.447e+00  8.030e-04 
- -2.568e-01 -9.238e-01  1.929e+02  9.107e+00 -4.221e-02 
- -8.771e-01  1.447e+00  9.107e+00  3.827e+02  1.223e-02 
- -8.776e-05  8.030e-04 -4.221e-02  1.223e-02  5.134e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17624   1.000 -0.081 -0.062 -0.151 -0.041
-        2  0.49356  -0.081  1.000 -0.248  0.276  0.418
-        3  0.44761  -0.062 -0.248  1.000  0.034 -0.424
-        4  0.31902  -0.151  0.276  0.034  1.000  0.087
-        5  0.53440  -0.041  0.418 -0.424  0.087  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             39 CALLS         294 TOTAL
-                     EDM=3.03558e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.02840e+02   2.97751e-01   5.15179e-04   1.42457e-01
-   2  sg_p1        1.60782e+01   2.68158e-01   7.22309e-04  -2.12184e-01
-   3  sg_p2        4.63894e+02   1.36806e+01   1.19116e-02  -3.33579e-01
-   4  sg_p3        1.14016e+02   1.97620e+01   2.70009e-02   5.07434e-01
-   5  sg_p4        9.27892e-01   7.16159e-03   2.03722e-03   1.02707e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.866e-02 -6.740e-03 -2.651e-01 -9.501e-01 -8.838e-05 
- -6.740e-03  7.192e-02 -8.846e-01  1.490e+00  8.010e-04 
- -2.651e-01 -8.846e-01  1.886e+02  2.011e+01 -4.167e-02 
- -9.501e-01  1.490e+00  2.011e+01  4.049e+02  1.100e-02 
- -8.838e-05  8.010e-04 -4.167e-02  1.100e-02  5.130e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18198   1.000 -0.084 -0.065 -0.159 -0.041
-        2  0.49512  -0.084  1.000 -0.240  0.276  0.417
-        3  0.45379  -0.065 -0.240  1.000  0.073 -0.424
-        4  0.33483  -0.159  0.276  0.073  1.000  0.076
-        5  0.53499  -0.041  0.417 -0.424  0.076  1.000
-500
-502.84 +- 0.297751
-16.0782 +- 0.268158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16477.8 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.86200e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.57301e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.88126e+02
-   4  sg_p3        4.29079e+01   1.40000e+01  -5.58468e-01   8.72628e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.83965e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             33 CALLS         278 TOTAL
-                     EDM=0.00228562    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03601e+02   3.08955e-01   1.34585e-03   3.00627e-01
-   2  sg_p1        1.67537e+01   2.75890e-01   1.84217e-03   1.71804e-01
-   3  sg_p2        4.49584e+02   2.10318e+01   1.89093e-02  -1.86124e-01
-   4  sg_p3        1.37208e+02   2.92076e+01   6.33389e-02  -7.21712e-02
-   5  sg_p4        9.31031e-01   7.12595e-03   2.05778e-03  -2.05034e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15837 FROM MIGRAD    STATUS=CONVERGED     290 CALLS         291 TOTAL
-                     EDM=9.94244e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   5.2 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03597e+02   3.10422e-01  -2.20880e-04   7.26010e-03
-   2  sg_p1        1.67527e+01   2.74763e-01  -8.54234e-05  -2.36066e-02
-   3  sg_p2        4.50350e+02   1.99263e+01   9.15141e-03   7.10266e-03
-   4  sg_p3        1.38778e+02   3.01976e+01   4.00555e-02  -1.66420e-02
-   5  sg_p4        9.30902e-01   7.07722e-03  -5.07201e-04  -3.19630e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.637e-02 -7.329e-03 -9.169e-02 -1.905e+00 -5.097e-05 
- -7.329e-03  7.551e-02 -1.688e+00  2.407e+00  7.425e-04 
- -9.169e-02 -1.688e+00  4.048e+02 -1.012e+02 -6.013e-02 
- -1.905e+00  2.407e+00 -1.012e+02  1.218e+03 -1.228e-02 
- -5.097e-05  7.425e-04 -6.013e-02 -1.228e-02  5.010e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19304   1.000 -0.086 -0.015 -0.176 -0.023
-        2  0.48229  -0.086  1.000 -0.305  0.251  0.382
-        3  0.47089  -0.015 -0.305  1.000 -0.144 -0.422
-        4  0.36202  -0.176  0.251 -0.144  1.000 -0.050
-        5  0.52945  -0.023  0.382 -0.422 -0.050  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             41 CALLS         332 TOTAL
-                     EDM=6.005e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03597e+02   3.09136e-01   1.34573e-03   1.80817e-01
-   2  sg_p1        1.67527e+01   2.75606e-01   1.84171e-03  -1.52530e-01
-   3  sg_p2        4.50350e+02   2.12182e+01   1.91941e-02  -4.89291e-01
-   4  sg_p3        1.38778e+02   3.03916e+01   7.62661e-02   9.96701e-01
-   5  sg_p4        9.30902e-01   7.12819e-03   2.05809e-03   1.03882e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.557e-02 -6.148e-03 -1.876e-01 -1.605e+00 -4.622e-05 
- -6.148e-03  7.597e-02 -1.916e+00  2.306e+00  7.753e-04 
- -1.876e-01 -1.916e+00  4.602e+02 -1.123e+02 -6.665e-02 
- -1.605e+00  2.306e+00 -1.123e+02  1.240e+03 -9.523e-03 
- -4.622e-05  7.753e-04 -6.665e-02 -9.523e-03  5.082e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17020   1.000 -0.072 -0.028 -0.147 -0.021
-        2  0.48615  -0.072  1.000 -0.324  0.238  0.395
-        3  0.48715  -0.028 -0.324  1.000 -0.149 -0.436
-        4  0.33778  -0.147  0.238 -0.149  1.000 -0.038
-        5  0.53739  -0.021  0.395 -0.436 -0.038  1.000
-500
-503.597 +- 0.309136
-16.7527 +- 0.275606
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16981.8 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.05566e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.79846e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.38683e+02
-   4  sg_p3        3.85734e+01   1.40000e+01  -6.33300e-01  -1.09954e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.06818e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             33 CALLS         261 TOTAL
-                     EDM=0.000884701    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03638e+02   2.96476e-01   1.30613e-03  -5.89524e-02
-   2  sg_p1        1.61908e+01   2.68536e-01   1.81793e-03  -9.06324e-02
-   3  sg_p2        4.64623e+02   1.46357e+01   1.25261e-02   2.17668e-01
-   4  sg_p3        1.18516e+02   2.19593e+01   3.03884e-02   5.10539e-02
-   5  sg_p4        9.27881e-01   7.13588e-03   2.04703e-03   7.03448e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16302.6 FROM MIGRAD    STATUS=CONVERGED     273 CALLS         274 TOTAL
-                     EDM=1.35619e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   3.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03639e+02   2.96022e-01   9.77721e-05  -9.91628e-03
-   2  sg_p1        1.61919e+01   2.69186e-01   9.95735e-05   3.66259e-03
-   3  sg_p2        4.64075e+02   1.47143e+01  -6.09837e-03  -4.10999e-03
-   4  sg_p3        1.17996e+02   2.09578e+01  -8.86611e-03  -1.33437e-02
-   5  sg_p4        9.27974e-01   7.15584e-03   3.61873e-04   3.29176e-06
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.764e-02 -6.654e-03 -2.734e-01 -9.694e-01 -8.441e-05 
- -6.654e-03  7.247e-02 -1.035e+00  1.644e+00  8.204e-04 
- -2.734e-01 -1.035e+00  2.185e+02  1.062e+01 -4.631e-02 
- -9.694e-01  1.644e+00  1.062e+01  4.592e+02  1.234e-02 
- -8.441e-05  8.204e-04 -4.631e-02  1.234e-02  5.122e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17873   1.000 -0.083 -0.062 -0.153 -0.040
-        2  0.50630  -0.083  1.000 -0.260  0.285  0.426
-        3  0.46142  -0.062 -0.260  1.000  0.034 -0.438
-        4  0.32893  -0.153  0.285  0.034  1.000  0.080
-        5  0.54522  -0.040  0.426 -0.438  0.080  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             41 CALLS         315 TOTAL
-                     EDM=4.81522e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03639e+02   2.96371e-01   1.30576e-03   1.82991e-01
-   2  sg_p1        1.61919e+01   2.68611e-01   1.81691e-03  -2.02075e-01
-   3  sg_p2        4.64075e+02   1.45352e+01   1.27410e-02  -3.31572e-01
-   4  sg_p3        1.17996e+02   2.14738e+01   3.10172e-02   5.73772e-01
-   5  sg_p4        9.27974e-01   7.13651e-03   2.04596e-03   1.02738e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.784e-02 -6.886e-03 -2.835e-01 -1.054e+00 -8.375e-05 
- -6.886e-03  7.217e-02 -9.670e-01  1.646e+00  8.068e-04 
- -2.835e-01 -9.670e-01  2.131e+02  2.545e+01 -4.521e-02 
- -1.054e+00  1.646e+00  2.545e+01  4.832e+02  9.584e-03 
- -8.375e-05  8.068e-04 -4.521e-02  9.584e-03  5.094e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18509   1.000 -0.086 -0.066 -0.162 -0.040
-        2  0.50306  -0.086  1.000 -0.247  0.279  0.421
-        3  0.46399  -0.066 -0.247  1.000  0.079 -0.434
-        4  0.34172  -0.162  0.279  0.079  1.000  0.061
-        5  0.54250  -0.040  0.421 -0.434  0.061  1.000
-500
-503.639 +- 0.296371
-16.1919 +- 0.268611
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15760.3 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.68945e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.51251e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.65516e+02
-   4  sg_p3        4.28306e+01   1.40000e+01  -5.59769e-01   7.96964e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.63393e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.00917808    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03544e+02   3.11234e-01   1.32359e-03   3.99151e-02
-   2  sg_p1        1.64644e+01   2.78325e-01   1.82583e-03   8.26169e-02
-   3  sg_p2        4.53596e+02   1.89196e+01   1.66163e-02  -4.74680e-01
-   4  sg_p3        1.30948e+02   2.69531e+01   4.74560e-02  -1.69826e-01
-   5  sg_p4        9.28806e-01   7.28371e-03   2.04213e-03  -7.21183e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15131 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=1.59446e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   8.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03538e+02   3.12525e-01  -4.41178e-05  -1.54585e-02
-   2  sg_p1        1.64635e+01   2.80799e-01   1.36626e-04   1.03835e-02
-   3  sg_p2        4.55327e+02   1.85938e+01  -2.83276e-04   1.31641e-03
-   4  sg_p3        1.33880e+02   3.06660e+01   1.19135e-02  -8.53961e-03
-   5  sg_p4        9.28489e-01   7.24733e-03   2.34109e-05  -1.19312e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.768e-02 -8.237e-03 -1.269e-01 -1.811e+00 -7.804e-05 
- -8.237e-03  7.886e-02 -1.583e+00  2.810e+00  7.851e-04 
- -1.269e-01 -1.583e+00  3.512e+02 -7.894e+01 -5.706e-02 
- -1.811e+00  2.810e+00 -7.894e+01  1.142e+03  2.159e-04 
- -7.804e-05  7.851e-04 -5.706e-02  2.159e-04  5.254e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19100   1.000 -0.094 -0.022 -0.171 -0.034
-        2  0.50054  -0.094  1.000 -0.301  0.296  0.386
-        3  0.45764  -0.022 -0.301  1.000 -0.125 -0.420
-        4  0.36350  -0.171  0.296 -0.125  1.000  0.001
-        5  0.51853  -0.034  0.386 -0.420  0.001  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             39 CALLS         332 TOTAL
-                     EDM=8.18863e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03538e+02   3.11671e-01   1.32357e-03   1.77834e-01
-   2  sg_p1        1.64635e+01   2.78053e-01   1.82591e-03  -1.78022e-01
-   3  sg_p2        4.55327e+02   1.93050e+01   1.69364e-02  -4.30811e-01
-   4  sg_p3        1.33880e+02   2.97612e+01   5.65680e-02   8.78399e-01
-   5  sg_p4        9.28489e-01   7.28924e-03   2.04602e-03   1.02938e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.715e-02 -7.165e-03 -2.210e-01 -1.574e+00 -6.699e-05 
- -7.165e-03  7.733e-02 -1.562e+00  2.322e+00  7.859e-04 
- -2.210e-01 -1.562e+00  3.791e+02 -4.296e+01 -6.069e-02 
- -1.574e+00  2.322e+00 -4.296e+01  1.061e+03 -4.723e-03 
- -6.699e-05  7.859e-04 -6.069e-02 -4.723e-03  5.315e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17762   1.000 -0.083 -0.036 -0.155 -0.029
-        2  0.48429  -0.083  1.000 -0.289  0.256  0.388
-        3  0.45436  -0.036 -0.289  1.000 -0.068 -0.428
-        4  0.32111  -0.155  0.256 -0.068  1.000 -0.020
-        5  0.52435  -0.029  0.388 -0.428 -0.020  1.000
-500
-503.538 +- 0.311671
-16.4635 +- 0.278053
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17965.7 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.19180e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.07558e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66310e+02
-   4  sg_p3        4.20660e+01   1.40000e+01  -5.72713e-01  -5.27926e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.26010e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             31 CALLS         273 TOTAL
-                     EDM=0.0158866    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03553e+02   2.92162e-01   1.32752e-03   1.92047e-01
-   2  sg_p1        1.64746e+01   2.61492e-01   1.83264e-03   9.93853e-02
-   3  sg_p2        4.51603e+02   1.81044e+01   1.70017e-02  -6.77062e-01
-   4  sg_p3        1.32529e+02   2.52771e+01   4.84704e-02  -2.30017e-01
-   5  sg_p4        9.26851e-01   6.88981e-03   2.03844e-03  -1.42588e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17247.2 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=4.77096e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03545e+02   2.93438e-01  -5.87528e-05  -3.40309e-02
-   2  sg_p1        1.64727e+01   2.63670e-01   1.74859e-04   2.14591e-02
-   3  sg_p2        4.53798e+02   1.77853e+01  -4.09286e-04   3.31652e-04
-   4  sg_p3        1.35998e+02   2.90570e+01   1.70332e-02  -1.52432e-02
-   5  sg_p4        9.26443e-01   6.85608e-03   1.63285e-05  -2.74842e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.611e-02 -7.218e-03 -7.462e-02 -1.599e+00 -6.663e-05 
- -7.218e-03  6.953e-02 -1.469e+00  2.461e+00  6.909e-04 
- -7.462e-02 -1.469e+00  3.210e+02 -8.810e+01 -5.081e-02 
- -1.599e+00  2.461e+00 -8.810e+01  1.030e+03 -2.764e-03 
- -6.663e-05  6.909e-04 -5.081e-02 -2.764e-03  4.702e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18896   1.000 -0.093 -0.014 -0.170 -0.033
-        2  0.49890  -0.093  1.000 -0.311  0.291  0.382
-        3  0.46311  -0.014 -0.311  1.000 -0.153 -0.414
-        4  0.37220  -0.170  0.291 -0.153  1.000 -0.013
-        5  0.51605  -0.033  0.382 -0.414 -0.013  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             37 CALLS         332 TOTAL
-                     EDM=2.5481e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03545e+02   2.92634e-01   1.32733e-03   1.78200e-01
-   2  sg_p1        1.64727e+01   2.61019e-01   1.83240e-03  -1.77216e-01
-   3  sg_p2        4.53798e+02   1.84402e+01   1.73428e-02  -4.48601e-01
-   4  sg_p3        1.35998e+02   2.83987e+01   6.04366e-02   9.27242e-01
-   5  sg_p4        9.26443e-01   6.89823e-03   2.04324e-03   1.02149e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.564e-02 -6.233e-03 -1.752e-01 -1.395e+00 -5.632e-05 
- -6.233e-03  6.814e-02 -1.435e+00  2.042e+00  6.927e-04 
- -1.752e-01 -1.435e+00  3.454e+02 -5.423e+01 -5.416e-02 
- -1.395e+00  2.042e+00 -5.423e+01  9.726e+02 -6.753e-03 
- -5.632e-05  6.927e-04 -5.416e-02 -6.753e-03  4.760e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17564   1.000 -0.082 -0.032 -0.153 -0.028
-        2  0.48195  -0.082  1.000 -0.296  0.251  0.385
-        3  0.45633  -0.032 -0.296  1.000 -0.094 -0.422
-        4  0.32602  -0.153  0.251 -0.094  1.000 -0.031
-        5  0.52240  -0.028  0.385 -0.422 -0.031  1.000
-500
-503.545 +- 0.292634
-16.4727 +- 0.261019
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 37 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 57 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 59 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 110 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 503.541 +- 0.301948 (stat) - 0.701904 + 0.678912 (syst); -0.717957/+0.695495 (total)
-   Uncertainty on sg_p1 = 16.4684 +- 0.269373 (stat) - 0.390296 + 0.284252 (syst); -0.412882/+0.314547 (total)
-   Uncertainty on sg_p2 = 454.55 +- 18.8889 (stat) - 4.20037 + 9.52429 (syst); -10.3364/+13.4131 (total)
-   Uncertainty on sg_p3 = 135.056 +- 29.1667 (stat) - 21.0404 + 3.7219 (syst); -25.6003/+15.0508 (total)
-   Uncertainty on sg_p4 = 0.927449 +- 0.00708973 (stat) - 0.00100662 + 0.0034528 (syst); -0.00368502/+0.00494853 (total) 
-   === Baseline plot === </br>
-   norm = 1319.62
-JEC     lnN   1.00347  -
-JER     lnN   1.01686  -
-btag    lnN   1.06496  -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt
deleted file mode 100644
index 3909453..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1319.62 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06496    -
-JER       lnN     1.01686   - 
-JEC       lnN     1.00347   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01997778164   -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/pdf.log
deleted file mode 100644
index 22b256a..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=7.73723 FROM MIGRAD    STATUS=CONVERGED      68 CALLS          69 TOTAL
-                     EDM=1.48553e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.55193e+01   2.01523e+00   2.33208e-03   3.31664e-05
-   2  Mean         9.99114e-01   2.37917e-03   3.42556e-06  -1.77868e-04
-   3  Sigma        1.99778e-02   2.01544e-03   4.15348e-05   8.52046e-04
-0.999114272503 +/- 0.00237917106011
-0.0199777816408 +/- 0.00201543879959
-PDF lnN 1.01997778164
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/signal500_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/signal500_sig.log
deleted file mode 100644
index 3014dec..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_500_novo_285_624/signal500_sig.log
+++ /dev/null
@@ -1,916 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18297.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   4.88508e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.52283e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.04492e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.27139e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.31849e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM MIGRAD    STATUS=CONVERGED     270 CALLS         271 TOTAL
-                     EDM=0.000209103    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.82781e+02   4.91816e-01   1.54936e-03   4.63902e-01
-   2  sg_p1        2.77322e+01   3.77130e-01   2.11298e-03  -7.95545e-04
-   3  sg_p2        4.00000e+02   7.22234e+00   3.62181e-02   1.52038e-02
-   4  sg_p3        9.99995e+01   7.83688e+00   5.52124e-02  -1.33082e-02
-   5  sg_p4        9.49597e-01   5.34566e-03   2.17525e-03   3.38347e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.201e-02  7.239e-06  6.832e-04 -2.726e-04 
- -1.201e-02  1.423e-01 -5.971e-04  4.705e-05  4.980e-04 
-  7.239e-06 -5.971e-04  7.635e-03 -3.089e-06 -2.189e-05 
-  6.832e-04  4.705e-05 -3.089e-06  1.671e-02  2.174e-06 
- -2.726e-04  4.980e-04 -2.189e-05  2.174e-06  2.858e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11194   1.000 -0.065  0.000  0.011 -0.104
-        2  0.25018  -0.065  1.000 -0.018  0.001  0.247
-        3  0.04761   0.000 -0.018  1.000 -0.000 -0.047
-        4  0.01159   0.011  0.001 -0.000  1.000  0.003
-        5  0.26559  -0.104  0.247 -0.047  0.003  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM HESSE     STATUS=OK             31 CALLS         302 TOTAL
-                     EDM=0.000214101    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.82781e+02   4.91810e-01   3.09872e-04  -2.43026e-01
-   2  sg_p1        2.77322e+01   3.77150e-01   8.45194e-05   2.59399e-01
-   3  sg_p2        4.00000e+02   7.23045e+00   7.24363e-03  -1.56845e+00
-   4  sg_p3        9.99995e+01   7.86694e+00   1.10425e-02   1.56600e+00
-   5  sg_p4        9.49597e-01   5.34101e-03   4.35051e-04   1.11793e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.221e-02  2.317e-06  2.181e-05 -2.728e-04 
- -1.221e-02  1.423e-01 -1.751e-04  1.477e-06  4.978e-04 
-  2.317e-06 -1.751e-04  7.644e-03 -2.852e-08 -6.407e-06 
-  2.181e-05  1.477e-06 -2.852e-08  1.678e-02  6.944e-08 
- -2.728e-04  4.978e-04 -6.407e-06  6.944e-08  2.853e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11182   1.000 -0.066  0.000  0.000 -0.104
-        2  0.25038  -0.066  1.000 -0.005  0.000  0.247
-        3  0.01394   0.000 -0.005  1.000 -0.000 -0.014
-        4  0.00037   0.000  0.000 -0.000  1.000  0.000
-        5  0.26252  -0.104  0.247 -0.014  0.000  1.000
-500
-482.781 +- 0.49181
-27.7322 +- 0.37715
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18169.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   3.31882e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   8.82382e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   9.40789e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.28474e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.45518e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM MIGRAD    STATUS=CONVERGED     298 CALLS         299 TOTAL
-                     EDM=6.02039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.84762e+02   4.94191e-01   1.52434e-03   1.30913e-01
-   2  sg_p1        2.76557e+01   3.74902e-01   2.09728e-03   4.83776e-02
-   3  sg_p2        4.00000e+02   4.37949e+00   2.80592e-02** at limit **
-   4  sg_p3        9.99992e+01   6.41285e+01   1.21382e-01   2.55150e-03
-   5  sg_p4        9.47779e-01   5.38139e-03   2.15294e-03  -2.62881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.442e-01 -1.391e-02  1.965e-06  1.328e-02 -2.985e-04 
- -1.391e-02  1.406e-01 -2.130e-05 -8.696e-04  4.743e-04 
-  1.965e-06 -2.130e-05  4.142e-05 -4.503e-06 -8.642e-07 
-  1.328e-02 -8.696e-04 -4.503e-06  1.378e-01  3.311e-05 
- -2.985e-04  4.743e-04 -8.642e-07  3.311e-05  2.896e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14334   1.000 -0.075  0.001  0.072 -0.112
-        2  0.24021  -0.075  1.000 -0.009 -0.006  0.235
-        3  0.02528   0.001 -0.009  1.000 -0.002 -0.025
-        4  0.07681   0.072 -0.006 -0.002  1.000  0.017
-        5  0.25571  -0.112  0.235 -0.025  0.017  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM HESSE     STATUS=OK             35 CALLS         334 TOTAL
-                     EDM=5.16959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.84762e+02   5.00293e-01   3.04869e-04  -1.75493e-01
-   2  sg_p1        2.76557e+01   3.74977e-01   8.38911e-05   2.54605e-01
-   3  sg_p2        4.00000e+02   4.38207e+00   5.61185e-03  -1.57057e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.99992e+01   1.55865e+01   4.95239e-01   1.57658e+00
-   5  sg_p4        9.47779e-01   5.38465e-03   4.30589e-04   1.10968e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.503e-01 -1.437e-02 -1.054e-07  1.912e-02 -2.821e-04 
- -1.437e-02  1.406e-01 -4.527e-06 -8.788e-04  4.745e-04 
- -1.054e-07 -4.527e-06  4.144e-05 -1.618e-06 -1.856e-07 
-  1.912e-02 -8.788e-04 -1.618e-06  4.993e-02  5.148e-05 
- -2.821e-04  4.745e-04 -1.856e-07  5.148e-05  2.900e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21046   1.000 -0.077 -0.000  0.171 -0.105
-        2  0.24099  -0.077  1.000 -0.002 -0.010  0.235
-        3  0.00549  -0.000 -0.002  1.000 -0.001 -0.005
-        4  0.18195   0.171 -0.010 -0.001  1.000  0.043
-        5  0.25791  -0.105  0.235 -0.005  0.043  1.000
-500
-484.762 +- 0.500293
-27.6557 +- 0.374977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18067.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   6.30906e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.68366e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.15954e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.16092e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.26605e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=3.64156e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.80603e+02   4.87655e-01   1.55641e-03   1.00438e-01
-   2  sg_p1        2.73597e+01   3.75999e-01   2.07241e-03  -3.88766e-02
-   3  sg_p2        4.00000e+02   7.70615e+00   3.73444e-02  -1.20875e-02
-   4  sg_p3        9.99999e+01   9.07676e+00   5.91616e-02   4.30185e-03
-   5  sg_p4        9.52020e-01   5.29904e-03   2.18424e-03  -2.42849e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.252e-02  1.605e-06  3.978e-04 -2.735e-04 
- -1.252e-02  1.414e-01 -4.268e-04  1.441e-06  5.110e-04 
-  1.605e-06 -4.268e-04  5.890e-03 -4.600e-07 -1.533e-05 
-  3.978e-04  1.441e-06 -4.600e-07  2.758e-03  4.935e-07 
- -2.735e-04  5.110e-04 -1.533e-05  4.935e-07  2.809e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11523   1.000 -0.068  0.000  0.016 -0.106
-        2  0.25980  -0.068  1.000 -0.015  0.000  0.256
-        3  0.03828   0.000 -0.015  1.000 -0.000 -0.038
-        4  0.01591   0.016  0.000 -0.000  1.000  0.002
-        5  0.27342  -0.106  0.256 -0.038  0.002  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM HESSE     STATUS=OK             31 CALLS         311 TOTAL
-                     EDM=3.66903e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.80603e+02   4.87622e-01   3.11281e-04  -3.18584e-01
-   2  sg_p1        2.73597e+01   3.76029e-01   8.28962e-05   2.36108e-01
-   3  sg_p2        4.00000e+02   7.72173e+00   7.46888e-03  -1.57279e+00
-   4  sg_p3        9.99999e+01   9.11980e+00   1.18323e-02   1.57260e+00
-   5  sg_p4        9.52020e-01   5.29594e-03   8.73698e-05   1.12913e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.272e-02  2.233e-07  9.824e-05 -2.737e-04 
- -1.272e-02  1.414e-01 -4.487e-05  2.340e-07  5.111e-04 
-  2.233e-07 -4.487e-05  5.902e-03 -1.148e-08 -1.609e-06 
-  9.824e-05  2.340e-07 -1.148e-08  2.771e-03  1.224e-07 
- -2.737e-04  5.111e-04 -1.609e-06  1.224e-07  2.805e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11467   1.000 -0.069  0.000  0.004 -0.106
-        2  0.26008  -0.069  1.000 -0.002  0.000  0.257
-        3  0.00402   0.000 -0.002  1.000 -0.000 -0.004
-        4  0.00392   0.004  0.000 -0.000  1.000  0.000
-        5  0.27142  -0.106  0.257 -0.004  0.000  1.000
-500
-480.603 +- 0.487622
-27.3597 +- 0.376029
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16835.6 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.93448e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.78837e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66272e+02
-   4  sg_p3        4.24477e+01   1.40000e+01  -5.66239e-01   4.08068e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.94465e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.0123886    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03549e+02   3.01469e-01   1.32569e-03   7.22248e-02
-   2  sg_p1        1.64694e+01   2.69674e-01   1.82958e-03   1.11175e-01
-   3  sg_p2        4.52623e+02   1.84688e+01   1.67733e-02  -5.64013e-01
-   4  sg_p3        1.31659e+02   2.60244e+01   4.76520e-02  -2.04899e-01
-   5  sg_p4        9.27815e-01   7.08262e-03   2.04007e-03  -6.32432e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16163.1 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=1.39803e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03541e+02   3.02714e-01  -6.04564e-05  -2.41635e-02
-   2  sg_p1        1.64684e+01   2.71856e-01   1.82456e-04   2.35248e-02
-   3  sg_p2        4.54550e+02   1.81378e+01  -3.71817e-04   2.34305e-03
-   4  sg_p3        1.35056e+02   2.96709e+01   1.70336e-02  -8.15967e-03
-   5  sg_p4        9.27449e-01   7.04529e-03   2.19134e-05  -1.27756e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.164e-02 -7.657e-03 -1.012e-01 -1.679e+00 -7.191e-05 
- -7.657e-03  7.392e-02 -1.518e+00  2.592e+00  7.352e-04 
- -1.012e-01 -1.518e+00  3.340e+02 -8.231e+01 -5.363e-02 
- -1.679e+00  2.592e+00 -8.231e+01  1.069e+03 -1.492e-03 
- -7.191e-05  7.352e-04 -5.363e-02 -1.492e-03  4.965e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18907   1.000 -0.093 -0.018 -0.170 -0.034
-        2  0.49868  -0.093  1.000 -0.305  0.292  0.384
-        3  0.45946  -0.018 -0.305  1.000 -0.138 -0.416
-        4  0.36545  -0.170  0.292 -0.138  1.000 -0.006
-        5  0.51683  -0.034  0.384 -0.416 -0.006  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             39 CALLS         333 TOTAL
-                     EDM=4.95712e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03541e+02   3.01948e-01   1.32548e-03   1.78010e-01
-   2  sg_p1        1.64684e+01   2.69373e-01   1.82921e-03  -1.77589e-01
-   3  sg_p2        4.54550e+02   1.88889e+01   1.71373e-02  -4.39830e-01
-   4  sg_p3        1.35056e+02   2.91667e+01   5.83968e-02   9.05144e-01
-   5  sg_p4        9.27449e-01   7.08973e-03   2.04457e-03   1.02536e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.118e-02 -6.694e-03 -1.967e-01 -1.492e+00 -6.118e-05 
- -6.694e-03  7.258e-02 -1.499e+00  2.192e+00  7.371e-04 
- -1.967e-01 -1.499e+00  3.627e+02 -4.939e+01 -5.738e-02 
- -1.492e+00  2.192e+00 -4.939e+01  1.025e+03 -5.946e-03 
- -6.118e-05  7.371e-04 -5.738e-02 -5.946e-03  5.028e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17693   1.000 -0.082 -0.034 -0.154 -0.029
-        2  0.48331  -0.082  1.000 -0.292  0.254  0.386
-        3  0.45514  -0.034 -0.292  1.000 -0.081 -0.425
-        4  0.32411  -0.154  0.254 -0.081  1.000 -0.026
-        5  0.52326  -0.029  0.386 -0.425 -0.026  1.000
-500
-503.541 +- 0.301948
-16.4684 +- 0.269373
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16739.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.55651e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.48786e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.68451e+02
-   4  sg_p3        4.32221e+01   1.40000e+01  -5.53184e-01   1.18283e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.96034e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=8.68132e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.04220e+02   3.07707e-01   1.35237e-03   1.08303e-01
-   2  sg_p1        1.66795e+01   2.77507e-01   1.84894e-03   6.94551e-02
-   3  sg_p2        4.62822e+02   1.91078e+01   1.68854e-02  -1.14748e-02
-   4  sg_p3        1.35582e+02   3.03789e+01   6.57946e-02   1.08838e-02
-   5  sg_p4        9.28230e-01   7.23504e-03   2.06982e-03  -3.02724e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.469e-02 -7.947e-03 -3.583e-01 -1.715e+00 -8.078e-05 
- -7.947e-03  7.703e-02 -1.315e+00  2.634e+00  8.091e-04 
- -3.583e-01 -1.315e+00  3.708e+02  4.728e+01 -6.075e-02 
- -1.715e+00  2.634e+00  4.728e+01  1.145e+03  2.032e-03 
- -8.078e-05  8.091e-04 -6.075e-02  2.032e-03  5.236e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18853   1.000 -0.093 -0.060 -0.165 -0.036
-        2  0.50124  -0.093  1.000 -0.246  0.281  0.403
-        3  0.46006  -0.060 -0.246  1.000  0.073 -0.436
-        4  0.34759  -0.165  0.281  0.073  1.000  0.008
-        5  0.53639  -0.036  0.403 -0.436  0.008  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM HESSE     STATUS=OK             31 CALLS         345 TOTAL
-                     EDM=9.10947e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.04220e+02   3.08377e-01   2.70474e-04   2.12615e-01
-   2  sg_p1        1.66795e+01   2.80568e-01   3.69788e-04  -1.58971e-01
-   3  sg_p2        4.62822e+02   1.90695e+01   6.75418e-04  -3.45556e-01
-   4  sg_p3        1.35582e+02   3.07077e+01   2.63178e-03   9.17410e-01
-   5  sg_p4        9.28230e-01   7.23811e-03   4.13965e-04   1.02837e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.510e-02 -8.877e-03 -3.212e-01 -1.872e+00 -9.078e-05 
- -8.877e-03  7.873e-02 -1.370e+00  3.011e+00  8.254e-04 
- -3.212e-01 -1.370e+00  3.693e+02  2.368e+01 -6.065e-02 
- -1.872e+00  3.011e+00  2.368e+01  1.177e+03  7.626e-03 
- -9.078e-05  8.254e-04 -6.065e-02  7.626e-03  5.240e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19932   1.000 -0.103 -0.054 -0.177 -0.041
-        2  0.51720  -0.103  1.000 -0.254  0.313  0.406
-        3  0.45661  -0.054 -0.254  1.000  0.036 -0.436
-        4  0.36806  -0.177  0.313  0.036  1.000  0.031
-        5  0.53695  -0.041  0.406 -0.436  0.031  1.000
-500
-504.22 +- 0.308377
-16.6795 +- 0.280568
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.23108e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.18946e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.42436e+02
-   4  sg_p3        4.43542e+01   1.40000e+01  -5.34286e-01   2.49400e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.66244e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             37 CALLS         242 TOTAL
-                     EDM=0.000693776    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02838e+02   2.97826e-01   1.28795e-03  -1.05531e-02
-   2  sg_p1        1.60782e+01   2.67978e-01   1.80577e-03   2.44112e-02
-   3  sg_p2        4.64332e+02   1.37627e+01   1.17387e-02   2.07821e-01
-   4  sg_p3        1.14468e+02   2.01486e+01   2.64964e-02   5.48597e-02
-   5  sg_p4        9.27839e-01   7.15691e-03   2.03796e-03   1.57814e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15889.1 FROM MIGRAD    STATUS=CONVERGED     254 CALLS         255 TOTAL
-                     EDM=9.17556e-06    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.8 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02840e+02   2.97434e-01   8.32709e-05  -7.82024e-03
-   2  sg_p1        1.60782e+01   2.67892e-01  -2.85162e-06   4.43301e-03
-   3  sg_p2        4.63894e+02   1.38330e+01  -4.87307e-03  -3.70669e-03
-   4  sg_p3        1.14016e+02   1.92315e+01  -7.40995e-03  -1.25650e-02
-   5  sg_p4        9.27892e-01   7.16442e-03   2.06750e-04   1.26344e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.847e-02 -6.452e-03 -2.568e-01 -8.771e-01 -8.776e-05 
- -6.452e-03  7.178e-02 -9.238e-01  1.447e+00  8.030e-04 
- -2.568e-01 -9.238e-01  1.929e+02  9.107e+00 -4.221e-02 
- -8.771e-01  1.447e+00  9.107e+00  3.827e+02  1.223e-02 
- -8.776e-05  8.030e-04 -4.221e-02  1.223e-02  5.134e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17624   1.000 -0.081 -0.062 -0.151 -0.041
-        2  0.49356  -0.081  1.000 -0.248  0.276  0.418
-        3  0.44761  -0.062 -0.248  1.000  0.034 -0.424
-        4  0.31902  -0.151  0.276  0.034  1.000  0.087
-        5  0.53440  -0.041  0.418 -0.424  0.087  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             39 CALLS         294 TOTAL
-                     EDM=3.03558e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.02840e+02   2.97751e-01   5.15179e-04   1.42457e-01
-   2  sg_p1        1.60782e+01   2.68158e-01   7.22309e-04  -2.12184e-01
-   3  sg_p2        4.63894e+02   1.36806e+01   1.19116e-02  -3.33579e-01
-   4  sg_p3        1.14016e+02   1.97620e+01   2.70009e-02   5.07434e-01
-   5  sg_p4        9.27892e-01   7.16159e-03   2.03722e-03   1.02707e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.866e-02 -6.740e-03 -2.651e-01 -9.501e-01 -8.838e-05 
- -6.740e-03  7.192e-02 -8.846e-01  1.490e+00  8.010e-04 
- -2.651e-01 -8.846e-01  1.886e+02  2.011e+01 -4.167e-02 
- -9.501e-01  1.490e+00  2.011e+01  4.049e+02  1.100e-02 
- -8.838e-05  8.010e-04 -4.167e-02  1.100e-02  5.130e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18198   1.000 -0.084 -0.065 -0.159 -0.041
-        2  0.49512  -0.084  1.000 -0.240  0.276  0.417
-        3  0.45379  -0.065 -0.240  1.000  0.073 -0.424
-        4  0.33483  -0.159  0.276  0.073  1.000  0.076
-        5  0.53499  -0.041  0.417 -0.424  0.076  1.000
-500
-502.84 +- 0.297751
-16.0782 +- 0.268158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16477.8 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.86200e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.57301e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.88126e+02
-   4  sg_p3        4.29079e+01   1.40000e+01  -5.58468e-01   8.72628e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.83965e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             33 CALLS         278 TOTAL
-                     EDM=0.00228562    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03601e+02   3.08955e-01   1.34585e-03   3.00627e-01
-   2  sg_p1        1.67537e+01   2.75890e-01   1.84217e-03   1.71804e-01
-   3  sg_p2        4.49584e+02   2.10318e+01   1.89093e-02  -1.86124e-01
-   4  sg_p3        1.37208e+02   2.92076e+01   6.33389e-02  -7.21712e-02
-   5  sg_p4        9.31031e-01   7.12595e-03   2.05778e-03  -2.05034e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15837 FROM MIGRAD    STATUS=CONVERGED     290 CALLS         291 TOTAL
-                     EDM=9.94244e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   5.2 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03597e+02   3.10422e-01  -2.20880e-04   7.26010e-03
-   2  sg_p1        1.67527e+01   2.74763e-01  -8.54234e-05  -2.36066e-02
-   3  sg_p2        4.50350e+02   1.99263e+01   9.15141e-03   7.10266e-03
-   4  sg_p3        1.38778e+02   3.01976e+01   4.00555e-02  -1.66420e-02
-   5  sg_p4        9.30902e-01   7.07722e-03  -5.07201e-04  -3.19630e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.637e-02 -7.329e-03 -9.169e-02 -1.905e+00 -5.097e-05 
- -7.329e-03  7.551e-02 -1.688e+00  2.407e+00  7.425e-04 
- -9.169e-02 -1.688e+00  4.048e+02 -1.012e+02 -6.013e-02 
- -1.905e+00  2.407e+00 -1.012e+02  1.218e+03 -1.228e-02 
- -5.097e-05  7.425e-04 -6.013e-02 -1.228e-02  5.010e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19304   1.000 -0.086 -0.015 -0.176 -0.023
-        2  0.48229  -0.086  1.000 -0.305  0.251  0.382
-        3  0.47089  -0.015 -0.305  1.000 -0.144 -0.422
-        4  0.36202  -0.176  0.251 -0.144  1.000 -0.050
-        5  0.52945  -0.023  0.382 -0.422 -0.050  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             41 CALLS         332 TOTAL
-                     EDM=6.005e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03597e+02   3.09136e-01   1.34573e-03   1.80817e-01
-   2  sg_p1        1.67527e+01   2.75606e-01   1.84171e-03  -1.52530e-01
-   3  sg_p2        4.50350e+02   2.12182e+01   1.91941e-02  -4.89291e-01
-   4  sg_p3        1.38778e+02   3.03916e+01   7.62661e-02   9.96701e-01
-   5  sg_p4        9.30902e-01   7.12819e-03   2.05809e-03   1.03882e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.557e-02 -6.148e-03 -1.876e-01 -1.605e+00 -4.622e-05 
- -6.148e-03  7.597e-02 -1.916e+00  2.306e+00  7.753e-04 
- -1.876e-01 -1.916e+00  4.602e+02 -1.123e+02 -6.665e-02 
- -1.605e+00  2.306e+00 -1.123e+02  1.240e+03 -9.523e-03 
- -4.622e-05  7.753e-04 -6.665e-02 -9.523e-03  5.082e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17020   1.000 -0.072 -0.028 -0.147 -0.021
-        2  0.48615  -0.072  1.000 -0.324  0.238  0.395
-        3  0.48715  -0.028 -0.324  1.000 -0.149 -0.436
-        4  0.33778  -0.147  0.238 -0.149  1.000 -0.038
-        5  0.53739  -0.021  0.395 -0.436 -0.038  1.000
-500
-503.597 +- 0.309136
-16.7527 +- 0.275606
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16981.8 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.05566e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.79846e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.38683e+02
-   4  sg_p3        3.85734e+01   1.40000e+01  -6.33300e-01  -1.09954e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.06818e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             33 CALLS         261 TOTAL
-                     EDM=0.000884701    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03638e+02   2.96476e-01   1.30613e-03  -5.89524e-02
-   2  sg_p1        1.61908e+01   2.68536e-01   1.81793e-03  -9.06324e-02
-   3  sg_p2        4.64623e+02   1.46357e+01   1.25261e-02   2.17668e-01
-   4  sg_p3        1.18516e+02   2.19593e+01   3.03884e-02   5.10539e-02
-   5  sg_p4        9.27881e-01   7.13588e-03   2.04703e-03   7.03448e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16302.6 FROM MIGRAD    STATUS=CONVERGED     273 CALLS         274 TOTAL
-                     EDM=1.35619e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   3.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03639e+02   2.96022e-01   9.77721e-05  -9.91628e-03
-   2  sg_p1        1.61919e+01   2.69186e-01   9.95735e-05   3.66259e-03
-   3  sg_p2        4.64075e+02   1.47143e+01  -6.09837e-03  -4.10999e-03
-   4  sg_p3        1.17996e+02   2.09578e+01  -8.86611e-03  -1.33437e-02
-   5  sg_p4        9.27974e-01   7.15584e-03   3.61873e-04   3.29176e-06
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.764e-02 -6.654e-03 -2.734e-01 -9.694e-01 -8.441e-05 
- -6.654e-03  7.247e-02 -1.035e+00  1.644e+00  8.204e-04 
- -2.734e-01 -1.035e+00  2.185e+02  1.062e+01 -4.631e-02 
- -9.694e-01  1.644e+00  1.062e+01  4.592e+02  1.234e-02 
- -8.441e-05  8.204e-04 -4.631e-02  1.234e-02  5.122e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17873   1.000 -0.083 -0.062 -0.153 -0.040
-        2  0.50630  -0.083  1.000 -0.260  0.285  0.426
-        3  0.46142  -0.062 -0.260  1.000  0.034 -0.438
-        4  0.32893  -0.153  0.285  0.034  1.000  0.080
-        5  0.54522  -0.040  0.426 -0.438  0.080  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             41 CALLS         315 TOTAL
-                     EDM=4.81522e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03639e+02   2.96371e-01   1.30576e-03   1.82991e-01
-   2  sg_p1        1.61919e+01   2.68611e-01   1.81691e-03  -2.02075e-01
-   3  sg_p2        4.64075e+02   1.45352e+01   1.27410e-02  -3.31572e-01
-   4  sg_p3        1.17996e+02   2.14738e+01   3.10172e-02   5.73772e-01
-   5  sg_p4        9.27974e-01   7.13651e-03   2.04596e-03   1.02738e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.784e-02 -6.886e-03 -2.835e-01 -1.054e+00 -8.375e-05 
- -6.886e-03  7.217e-02 -9.670e-01  1.646e+00  8.068e-04 
- -2.835e-01 -9.670e-01  2.131e+02  2.545e+01 -4.521e-02 
- -1.054e+00  1.646e+00  2.545e+01  4.832e+02  9.584e-03 
- -8.375e-05  8.068e-04 -4.521e-02  9.584e-03  5.094e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18509   1.000 -0.086 -0.066 -0.162 -0.040
-        2  0.50306  -0.086  1.000 -0.247  0.279  0.421
-        3  0.46399  -0.066 -0.247  1.000  0.079 -0.434
-        4  0.34172  -0.162  0.279  0.079  1.000  0.061
-        5  0.54250  -0.040  0.421 -0.434  0.061  1.000
-500
-503.639 +- 0.296371
-16.1919 +- 0.268611
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15760.3 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.68945e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.51251e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.65516e+02
-   4  sg_p3        4.28306e+01   1.40000e+01  -5.59769e-01   7.96964e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.63393e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.00917808    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03544e+02   3.11234e-01   1.32359e-03   3.99151e-02
-   2  sg_p1        1.64644e+01   2.78325e-01   1.82583e-03   8.26169e-02
-   3  sg_p2        4.53596e+02   1.89196e+01   1.66163e-02  -4.74680e-01
-   4  sg_p3        1.30948e+02   2.69531e+01   4.74560e-02  -1.69826e-01
-   5  sg_p4        9.28806e-01   7.28371e-03   2.04213e-03  -7.21183e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15131 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=1.59446e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   8.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03538e+02   3.12525e-01  -4.41178e-05  -1.54585e-02
-   2  sg_p1        1.64635e+01   2.80799e-01   1.36626e-04   1.03835e-02
-   3  sg_p2        4.55327e+02   1.85938e+01  -2.83276e-04   1.31641e-03
-   4  sg_p3        1.33880e+02   3.06660e+01   1.19135e-02  -8.53961e-03
-   5  sg_p4        9.28489e-01   7.24733e-03   2.34109e-05  -1.19312e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.768e-02 -8.237e-03 -1.269e-01 -1.811e+00 -7.804e-05 
- -8.237e-03  7.886e-02 -1.583e+00  2.810e+00  7.851e-04 
- -1.269e-01 -1.583e+00  3.512e+02 -7.894e+01 -5.706e-02 
- -1.811e+00  2.810e+00 -7.894e+01  1.142e+03  2.159e-04 
- -7.804e-05  7.851e-04 -5.706e-02  2.159e-04  5.254e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19100   1.000 -0.094 -0.022 -0.171 -0.034
-        2  0.50054  -0.094  1.000 -0.301  0.296  0.386
-        3  0.45764  -0.022 -0.301  1.000 -0.125 -0.420
-        4  0.36350  -0.171  0.296 -0.125  1.000  0.001
-        5  0.51853  -0.034  0.386 -0.420  0.001  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             39 CALLS         332 TOTAL
-                     EDM=8.18863e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03538e+02   3.11671e-01   1.32357e-03   1.77834e-01
-   2  sg_p1        1.64635e+01   2.78053e-01   1.82591e-03  -1.78022e-01
-   3  sg_p2        4.55327e+02   1.93050e+01   1.69364e-02  -4.30811e-01
-   4  sg_p3        1.33880e+02   2.97612e+01   5.65680e-02   8.78399e-01
-   5  sg_p4        9.28489e-01   7.28924e-03   2.04602e-03   1.02938e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.715e-02 -7.165e-03 -2.210e-01 -1.574e+00 -6.699e-05 
- -7.165e-03  7.733e-02 -1.562e+00  2.322e+00  7.859e-04 
- -2.210e-01 -1.562e+00  3.791e+02 -4.296e+01 -6.069e-02 
- -1.574e+00  2.322e+00 -4.296e+01  1.061e+03 -4.723e-03 
- -6.699e-05  7.859e-04 -6.069e-02 -4.723e-03  5.315e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17762   1.000 -0.083 -0.036 -0.155 -0.029
-        2  0.48429  -0.083  1.000 -0.289  0.256  0.388
-        3  0.45436  -0.036 -0.289  1.000 -0.068 -0.428
-        4  0.32111  -0.155  0.256 -0.068  1.000 -0.020
-        5  0.52435  -0.029  0.388 -0.428 -0.020  1.000
-500
-503.538 +- 0.311671
-16.4635 +- 0.278053
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17965.7 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.19180e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.07558e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66310e+02
-   4  sg_p3        4.20660e+01   1.40000e+01  -5.72713e-01  -5.27926e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.26010e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             31 CALLS         273 TOTAL
-                     EDM=0.0158866    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03553e+02   2.92162e-01   1.32752e-03   1.92047e-01
-   2  sg_p1        1.64746e+01   2.61492e-01   1.83264e-03   9.93853e-02
-   3  sg_p2        4.51603e+02   1.81044e+01   1.70017e-02  -6.77062e-01
-   4  sg_p3        1.32529e+02   2.52771e+01   4.84704e-02  -2.30017e-01
-   5  sg_p4        9.26851e-01   6.88981e-03   2.03844e-03  -1.42588e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17247.2 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=4.77096e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03545e+02   2.93438e-01  -5.87528e-05  -3.40309e-02
-   2  sg_p1        1.64727e+01   2.63670e-01   1.74859e-04   2.14591e-02
-   3  sg_p2        4.53798e+02   1.77853e+01  -4.09286e-04   3.31652e-04
-   4  sg_p3        1.35998e+02   2.90570e+01   1.70332e-02  -1.52432e-02
-   5  sg_p4        9.26443e-01   6.85608e-03   1.63285e-05  -2.74842e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.611e-02 -7.218e-03 -7.462e-02 -1.599e+00 -6.663e-05 
- -7.218e-03  6.953e-02 -1.469e+00  2.461e+00  6.909e-04 
- -7.462e-02 -1.469e+00  3.210e+02 -8.810e+01 -5.081e-02 
- -1.599e+00  2.461e+00 -8.810e+01  1.030e+03 -2.764e-03 
- -6.663e-05  6.909e-04 -5.081e-02 -2.764e-03  4.702e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18896   1.000 -0.093 -0.014 -0.170 -0.033
-        2  0.49890  -0.093  1.000 -0.311  0.291  0.382
-        3  0.46311  -0.014 -0.311  1.000 -0.153 -0.414
-        4  0.37220  -0.170  0.291 -0.153  1.000 -0.013
-        5  0.51605  -0.033  0.382 -0.414 -0.013  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             37 CALLS         332 TOTAL
-                     EDM=2.5481e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03545e+02   2.92634e-01   1.32733e-03   1.78200e-01
-   2  sg_p1        1.64727e+01   2.61019e-01   1.83240e-03  -1.77216e-01
-   3  sg_p2        4.53798e+02   1.84402e+01   1.73428e-02  -4.48601e-01
-   4  sg_p3        1.35998e+02   2.83987e+01   6.04366e-02   9.27242e-01
-   5  sg_p4        9.26443e-01   6.89823e-03   2.04324e-03   1.02149e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.564e-02 -6.233e-03 -1.752e-01 -1.395e+00 -5.632e-05 
- -6.233e-03  6.814e-02 -1.435e+00  2.042e+00  6.927e-04 
- -1.752e-01 -1.435e+00  3.454e+02 -5.423e+01 -5.416e-02 
- -1.395e+00  2.042e+00 -5.423e+01  9.726e+02 -6.753e-03 
- -5.632e-05  6.927e-04 -5.416e-02 -6.753e-03  4.760e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17564   1.000 -0.082 -0.032 -0.153 -0.028
-        2  0.48195  -0.082  1.000 -0.296  0.251  0.385
-        3  0.45633  -0.032 -0.296  1.000 -0.094 -0.422
-        4  0.32602  -0.153  0.251 -0.094  1.000 -0.031
-        5  0.52240  -0.028  0.385 -0.422 -0.031  1.000
-500
-503.545 +- 0.292634
-16.4727 +- 0.261019
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 37 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 57 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 59 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 110 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 503.541 +- 0.301948 (stat) - 0.701904 + 0.678912 (syst); -0.717957/+0.695495 (total)
-   Uncertainty on sg_p1 = 16.4684 +- 0.269373 (stat) - 0.390296 + 0.284252 (syst); -0.412882/+0.314547 (total)
-   Uncertainty on sg_p2 = 454.55 +- 18.8889 (stat) - 4.20037 + 9.52429 (syst); -10.3364/+13.4131 (total)
-   Uncertainty on sg_p3 = 135.056 +- 29.1667 (stat) - 21.0404 + 3.7219 (syst); -25.6003/+15.0508 (total)
-   Uncertainty on sg_p4 = 0.927449 +- 0.00708973 (stat) - 0.00100662 + 0.0034528 (syst); -0.00368502/+0.00494853 (total) 
-   === Baseline plot === </br>
-   norm = 1319.62
-JEC     lnN   1.00347  -
-JER     lnN   1.01686  -
-btag    lnN   1.06496  -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt
deleted file mode 100644
index 53fc2c1..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1470.79 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06585    -
-JER       lnN     1.01675   - 
-JEC       lnN     1.0002   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02229693932   -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/pdf.log
deleted file mode 100644
index 259cbcf..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.8549 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.39547e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.33669e+01   1.80554e+00   2.71051e-03   4.30284e-06
-   2  Mean         9.99344e-01   2.90546e-03   5.44875e-06  -4.96208e-03
-   3  Sigma        2.22969e-02   2.61448e-03   6.50610e-05   1.72213e-05
-0.999344037733 +/- 0.0029054638886
-0.0222969393194 +/- 0.00261447795001
-PDF lnN 1.02229693932
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/signal550_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/signal550_sig.log
deleted file mode 100644
index 31e7a79..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_crystal_1_285_624/signal550_sig.log
+++ /dev/null
@@ -1,872 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20474.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   5.07174e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.94014e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.02149e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   3.92576e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -5.54746e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=2.38221e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.31487e+02   5.32162e-01   1.51230e-03   1.42028e-02
-   2  sg_p1        2.98204e+01   4.47933e-01   2.42219e-03   7.73048e-03
-   3  sg_p2        4.57724e+02   1.56211e+01   1.09347e-02  -8.53008e-03
-   4  sg_p3        8.95652e+01   1.08014e+01   3.54792e-02   1.21216e-02
-   5  sg_p4        9.54096e-01   8.70766e-03   2.37118e-03  -9.01545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.832e-01 -4.050e-02  7.504e-01 -1.728e+00 -9.374e-04 
- -4.050e-02  2.007e-01 -3.095e+00  6.692e-01  2.076e-03 
-  7.504e-01 -3.095e+00  2.467e+02 -1.356e+01 -1.062e-01 
- -1.728e+00  6.692e-01 -1.356e+01  1.226e+02  1.630e-02 
- -9.374e-04  2.076e-03 -1.062e-01  1.630e-02  7.587e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.34824   1.000 -0.170  0.090 -0.293 -0.202
-        2  0.53901  -0.170  1.000 -0.440  0.135  0.532
-        3  0.78111   0.090 -0.440  1.000 -0.078 -0.776
-        4  0.32107  -0.293  0.135 -0.078  1.000  0.169
-        5  0.81348  -0.202  0.532 -0.776  0.169  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM HESSE     STATUS=OK             31 CALLS         325 TOTAL
-                     EDM=2.38806e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.31487e+02   5.34249e-01   6.04920e-05  -3.96390e-01
-   2  sg_p1        2.98204e+01   4.49790e-01   9.68875e-05   3.93104e-01
-   3  sg_p2        4.57724e+02   1.57210e+01   4.37390e-04  -4.03212e-01
-   4  sg_p3        8.95652e+01   1.08586e+01   1.41917e-03   8.75892e-01
-   5  sg_p4        9.54096e-01   8.77545e-03   4.74236e-04   1.13895e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.854e-01 -4.220e-02  8.178e-01 -1.810e+00 -9.783e-04 
- -4.220e-02  2.024e-01 -3.172e+00  7.162e-01  2.121e-03 
-  8.178e-01 -3.172e+00  2.499e+02 -1.585e+01 -1.082e-01 
- -1.810e+00  7.162e-01 -1.585e+01  1.240e+02  1.767e-02 
- -9.783e-04  2.121e-03 -1.082e-01  1.767e-02  7.705e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.35795   1.000 -0.176  0.097 -0.304 -0.209
-        2  0.54441  -0.176  1.000 -0.446  0.143  0.537
-        3  0.78430   0.097 -0.446  1.000 -0.090 -0.780
-        4  0.33330  -0.304  0.143 -0.090  1.000  0.181
-        5  0.81668  -0.209  0.537 -0.780  0.181  1.000
-550
-531.487 +- 0.534249
-29.8204 +- 0.44979
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20306.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   3.00053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.48703e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.55356e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   2.98032e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -6.39572e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=4.51479e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.33845e+02   5.50540e-01   1.48402e-03   3.91502e-02
-   2  sg_p1        2.97723e+01   4.71570e-01   2.44878e-03   2.61411e-02
-   3  sg_p2        4.60591e+02   1.38428e+01   8.85082e-03  -6.68765e-03
-   4  sg_p3        8.05212e+01   8.20745e+00   2.03850e-02   9.33536e-03
-   5  sg_p4        9.47592e-01   1.00547e-02   2.37122e-03  -3.27058e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.031e-01 -5.910e-02  9.827e-01 -1.368e+00 -1.430e-03 
- -5.910e-02  2.224e-01 -3.125e+00  3.654e-01  2.724e-03 
-  9.827e-01 -3.125e+00  1.932e+02  9.312e+00 -1.123e-01 
- -1.368e+00  3.654e-01  9.312e+00  6.849e+01  4.927e-03 
- -1.430e-03  2.724e-03 -1.123e-01  4.927e-03  1.012e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.39978   1.000 -0.228  0.128 -0.300 -0.258
-        2  0.58300  -0.228  1.000 -0.477  0.094  0.574
-        3  0.81557   0.128 -0.477  1.000  0.081 -0.803
-        4  0.35284  -0.300  0.094  0.081  1.000  0.059
-        5  0.84274  -0.258  0.574 -0.803  0.059  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM HESSE     STATUS=OK             31 CALLS         324 TOTAL
-                     EDM=4.5264e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.33845e+02   5.51808e-01   2.96804e-04  -3.24384e-01
-   2  sg_p1        2.97723e+01   4.73610e-01   9.79512e-05   3.89948e-01
-   3  sg_p2        4.60591e+02   1.39421e+01   3.54033e-04  -3.70629e-01
-   4  sg_p3        8.05212e+01   8.22375e+00   8.15398e-04   6.03025e-01
-   5  sg_p4        9.47592e-01   1.01305e-02   4.74244e-04   1.10884e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.045e-01 -6.047e-02  1.021e+00 -1.394e+00 -1.460e-03 
- -6.047e-02  2.244e-01 -3.200e+00  3.711e-01  2.779e-03 
-  1.021e+00 -3.200e+00  1.960e+02  9.327e+00 -1.144e-01 
- -1.394e+00  3.711e-01  9.327e+00  6.877e+01  5.012e-03 
- -1.460e-03  2.779e-03 -1.144e-01  5.012e-03  1.027e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.40458   1.000 -0.231  0.132 -0.305 -0.261
-        2  0.58785  -0.231  1.000 -0.483  0.094  0.579
-        3  0.81850   0.132 -0.483  1.000  0.080 -0.806
-        4  0.35705  -0.305  0.094  0.080  1.000  0.060
-        5  0.84530  -0.261  0.579 -0.806  0.060  1.000
-550
-533.845 +- 0.551808
-29.7723 +- 0.47361
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20361.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   7.00402e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   2.42051e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -8.13221e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   4.85542e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -4.37084e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.70671 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             37 CALLS         258 TOTAL
-                     EDM=0.0234896    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29061e+02   5.14520e-01   1.55758e-03   2.24394e-02
-   2  sg_p1        2.98860e+01   4.23991e-01   2.39855e-03  -1.26397e-01
-   3  sg_p2        4.50244e+02   1.76938e+01   1.40698e-02  -3.32037e-01
-   4  sg_p3        9.92707e+01   5.23923e+01   1.16245e-01  -1.87665e-01
-   5  sg_p4        9.58893e-01   7.41282e-03   2.32468e-03  -2.84571e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.50844e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29115e+02   5.27512e-01   1.55654e-03   5.63178e-02
-   2  sg_p1        2.98537e+01   4.31194e-01   2.39683e-03  -4.86594e-03
-   3  sg_p2        4.52810e+02   1.71881e+01   1.26957e-02  -2.51152e-02
-   4  sg_p3        9.42149e+01   1.22791e+01   5.42279e-02  -7.82994e-03
-   5  sg_p4        9.57905e-01   7.92585e-03   2.33854e-03  -5.94545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.783e-01 -2.926e-02  6.244e-01  2.021e+00 -6.669e-04 
- -2.926e-02  1.860e-01 -3.058e+00 -6.317e-01  1.675e-03 
-  6.244e-01 -3.058e+00  2.995e+02  2.884e+01 -1.049e-01 
-  2.021e+00 -6.317e-01  2.884e+01  1.696e+02 -1.694e-02 
- -6.669e-04  1.675e-03 -1.049e-01 -1.694e-02  6.285e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33042   1.000 -0.129  0.068  0.294 -0.159
-        2  0.49650  -0.129  1.000 -0.410 -0.112  0.490
-        3  0.76815   0.068 -0.410  1.000  0.128 -0.765
-        4  0.31895   0.294 -0.112  0.128  1.000 -0.164
-        5  0.79426  -0.159  0.490 -0.765 -0.164  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             31 CALLS         385 TOTAL
-                     EDM=3.65774e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.29115e+02   5.25382e-01   3.11308e-04  -4.71083e-01
-   2  sg_p1        2.98537e+01   4.32758e-01   9.58731e-05   3.95290e-01
-   3  sg_p2        4.52810e+02   1.73342e+01   5.07828e-04  -4.60177e-01
-   4  sg_p3        9.42149e+01   1.23119e+01   2.16911e-03   2.08346e+00
-   5  sg_p4        9.57905e-01   7.98860e-03   4.67708e-04   1.15752e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.761e-01 -3.020e-02  7.182e-01  1.927e+00 -6.928e-04 
- -3.020e-02  1.873e-01 -3.149e+00 -7.080e-01  1.713e-03 
-  7.182e-01 -3.149e+00  3.047e+02  3.675e+01 -1.073e-01 
-  1.927e+00 -7.080e-01  3.675e+01  1.706e+02 -1.945e-02 
- -6.928e-04  1.713e-03 -1.073e-01 -1.945e-02  6.385e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31928   1.000 -0.133  0.078  0.281 -0.165
-        2  0.50194  -0.133  1.000 -0.417 -0.125  0.495
-        3  0.77268   0.078 -0.417  1.000  0.161 -0.769
-        4  0.31887   0.281 -0.125  0.161  1.000 -0.186
-        5  0.79789  -0.165  0.495 -0.769 -0.186  1.000
-550
-529.115 +- 0.525382
-29.8537 +- 0.432758
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19951.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.82283e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.71398e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.74238e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.44109e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77604e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM MIGRAD    STATUS=CONVERGED     211 CALLS         212 TOTAL
-                     EDM=2.97149e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54818e+02   3.19097e-01   8.63536e-04  -3.36904e-01
-   2  sg_p1        1.76653e+01   2.93110e-01   1.48879e-03   2.40235e-04
-   3  sg_p2        5.24916e+02   6.40830e+00   5.54557e-03  -1.03056e-02
-   4  sg_p3        7.57816e+01   6.01449e+00   1.24041e-02  -3.47693e-02
-   5  sg_p4        9.15383e-01   8.76094e-03   2.18461e-03   2.17805e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.018e-01 -7.952e-03  2.184e-01 -3.767e-01 -2.239e-04 
- -7.952e-03  8.592e-02  5.369e-01  4.736e-01  1.353e-03 
-  2.184e-01  5.369e-01  4.114e+01 -3.542e+00  2.620e-02 
- -3.767e-01  4.736e-01 -3.542e+00  3.645e+01  1.672e-02 
- -2.239e-04  1.353e-03  2.620e-02  1.672e-02  7.678e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23180   1.000 -0.085  0.107 -0.196 -0.080
-        2  0.54417  -0.085  1.000  0.286  0.268  0.527
-        3  0.54552   0.107  0.286  1.000 -0.091  0.466
-        4  0.45297  -0.196  0.268 -0.091  1.000  0.316
-        5  0.66946  -0.080  0.527  0.466  0.316  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM HESSE     STATUS=OK             31 CALLS         243 TOTAL
-                     EDM=2.96981e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54818e+02   3.19404e-01   1.72707e-04   2.84322e-01
-   2  sg_p1        1.76653e+01   2.93042e-01   5.95515e-05  -3.61434e-01
-   3  sg_p2        5.24916e+02   6.41299e+00   1.10911e-03   2.82124e+00
-   4  sg_p3        7.57816e+01   6.04287e+00   4.96162e-04   4.80037e-01
-   5  sg_p4        9.15383e-01   8.75334e-03   8.73843e-05   9.80484e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.020e-01 -8.145e-03  2.258e-01 -3.874e-01 -2.275e-04 
- -8.145e-03  8.588e-02  5.267e-01  4.756e-01  1.350e-03 
-  2.258e-01  5.267e-01  4.120e+01 -4.152e+00  2.584e-02 
- -3.874e-01  4.756e-01 -4.152e+00  3.680e+01  1.675e-02 
- -2.275e-04  1.350e-03  2.584e-02  1.675e-02  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23569   1.000 -0.087  0.110 -0.200 -0.081
-        2  0.54387  -0.087  1.000  0.280  0.268  0.526
-        3  0.54648   0.110  0.280  1.000 -0.107  0.460
-        4  0.46089  -0.200  0.268 -0.107  1.000  0.315
-        5  0.66874  -0.081  0.526  0.460  0.315  1.000
-550
-554.818 +- 0.319404
-17.6653 +- 0.293042
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19898.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.95168e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   4.81948e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.76540e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.98194e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.74417e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM MIGRAD    STATUS=CONVERGED     196 CALLS         197 TOTAL
-                     EDM=1.01176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55808e+02   3.25659e-01   8.83901e-04  -1.63522e-01
-   2  sg_p1        1.77469e+01   3.01241e-01   1.51845e-03  -1.82594e-02
-   3  sg_p2        5.26122e+02   6.31840e+00   5.51012e-03  -4.30688e-02
-   4  sg_p3        7.70352e+01   6.10785e+00   1.27318e-02  -4.97405e-03
-   5  sg_p4        9.08807e-01   9.02494e-03   2.18610e-03  -1.94192e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.061e-01 -1.054e-02 -2.294e-01 -4.229e-01 -2.862e-04 
- -1.054e-02  9.076e-02 -4.904e-01  5.133e-01  1.441e-03 
- -2.294e-01 -4.904e-01  3.999e+01  5.524e+00 -2.505e-02 
- -4.229e-01  5.133e-01  5.524e+00  3.761e+01  1.706e-02 
- -2.862e-04  1.441e-03 -2.505e-02  1.706e-02  8.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24854   1.000 -0.107 -0.111 -0.212 -0.097
-        2  0.54949  -0.107  1.000 -0.257  0.278  0.530
-        3  0.54187  -0.111 -0.257  1.000  0.142 -0.439
-        4  0.47566  -0.212  0.278  0.142  1.000  0.308
-        5  0.66453  -0.097  0.530 -0.439  0.308  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM HESSE     STATUS=OK             31 CALLS         228 TOTAL
-                     EDM=1.00847e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.55808e+02   3.25832e-01   1.76780e-04   3.13943e-01
-   2  sg_p1        1.77469e+01   3.02069e-01   6.07379e-05  -3.56157e-01
-   3  sg_p2        5.26122e+02   6.32494e+00   1.10202e-03   6.61694e+00
-   4  sg_p3        7.70352e+01   6.12320e+00   5.09272e-04   5.11714e-01
-   5  sg_p4        9.08807e-01   9.06729e-03   8.74438e-05   9.57256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.062e-01 -1.081e-02 -2.268e-01 -4.286e-01 -2.938e-04 
- -1.081e-02  9.126e-02 -4.992e-01  5.258e-01  1.460e-03 
- -2.268e-01 -4.992e-01  4.007e+01  5.270e+00 -2.536e-02 
- -4.286e-01  5.258e-01  5.270e+00  3.780e+01  1.761e-02 
- -2.938e-04  1.460e-03 -2.536e-02  1.761e-02  8.224e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25053   1.000 -0.110 -0.110 -0.214 -0.099
-        2  0.55296  -0.110  1.000 -0.261  0.283  0.533
-        3  0.54324  -0.110 -0.261  1.000  0.135 -0.442
-        4  0.47947  -0.214  0.283  0.135  1.000  0.316
-        5  0.66843  -0.099  0.533 -0.442  0.316  1.000
-550
-555.808 +- 0.325832
-17.7469 +- 0.302069
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19728.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.67505e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.63661e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.67995e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.03919e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77879e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM MIGRAD    STATUS=CONVERGED     209 CALLS         210 TOTAL
-                     EDM=1.24678e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.53868e+02   3.10680e-01   8.32651e-04  -2.62603e-02
-   2  sg_p1        1.72866e+01   2.81268e-01   1.45728e-03   8.07767e-02
-   3  sg_p2        5.24887e+02   6.75798e+00   5.96660e-03  -3.92394e-02
-   4  sg_p3        7.92365e+01   6.79795e+00   1.48996e-02   6.90285e-03
-   5  sg_p4        9.17534e-01   8.29708e-03   2.15408e-03  -1.06137e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.652e-02 -6.967e-03  2.218e-01 -3.867e-01 -1.900e-04 
- -6.967e-03  7.912e-02  4.748e-01  5.229e-01  1.170e-03 
-  2.218e-01  4.748e-01  4.576e+01 -5.306e+00  2.407e-02 
- -3.867e-01  5.229e-01 -5.306e+00  4.672e+01  1.731e-02 
- -1.900e-04  1.170e-03  2.407e-02  1.731e-02  6.886e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21574   1.000 -0.080  0.106 -0.182 -0.074
-        2  0.52328  -0.080  1.000  0.250  0.272  0.501
-        3  0.51581   0.106  0.250  1.000 -0.115  0.429
-        4  0.44943  -0.182  0.272 -0.115  1.000  0.305
-        5  0.64010  -0.074  0.501  0.429  0.305  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM HESSE     STATUS=OK             31 CALLS         241 TOTAL
-                     EDM=1.27405e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.53868e+02   3.10987e-01   1.66530e-04   2.56169e-01
-   2  sg_p1        1.72866e+01   2.81269e-01   2.91456e-04  -3.86094e-01
-   3  sg_p2        5.24887e+02   6.76745e+00   1.19332e-03   2.82155e+00
-   4  sg_p3        7.92365e+01   6.83832e+00   5.95982e-04   5.68761e-01
-   5  sg_p4        9.17534e-01   8.29250e-03   8.61633e-05   9.88256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.672e-02 -7.180e-03  2.301e-01 -3.999e-01 -1.942e-04 
- -7.180e-03  7.912e-02  4.628e-01  5.278e-01  1.169e-03 
-  2.301e-01  4.628e-01  4.588e+01 -6.142e+00  2.369e-02 
- -3.999e-01  5.278e-01 -6.142e+00  4.728e+01  1.742e-02 
- -1.942e-04  1.169e-03  2.369e-02  1.742e-02  6.879e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22006   1.000 -0.082  0.109 -0.187 -0.075
-        2  0.52328  -0.082  1.000  0.243  0.273  0.501
-        3  0.51782   0.109  0.243  1.000 -0.132  0.422
-        4  0.45946  -0.187  0.273 -0.132  1.000  0.305
-        5  0.63959  -0.075  0.501  0.422  0.305  1.000
-550
-553.868 +- 0.310987
-17.2866 +- 0.281269
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19523.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.78246e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.48227e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.72744e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.53463e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.73440e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=1.1296e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54743e+02   3.23108e-01   8.67838e-04   1.02910e-02
-   2  sg_p1        1.78036e+01   2.93560e-01   1.48809e-03   3.64244e-02
-   3  sg_p2        5.29749e+02   7.02376e+00   6.17425e-03   3.49463e-03
-   4  sg_p3        8.01422e+01   7.11749e+00   1.53333e-02   4.67692e-03
-   5  sg_p4        9.16151e-01   8.68122e-03   2.20244e-03  -2.64886e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.044e-01 -5.800e-03  3.107e-01 -4.077e-01 -1.462e-04 
- -5.800e-03  8.619e-02  4.716e-01  5.708e-01  1.298e-03 
-  3.107e-01  4.716e-01  4.944e+01 -9.571e+00  2.482e-02 
- -4.077e-01  5.708e-01 -9.571e+00  5.129e+01  1.933e-02 
- -1.462e-04  1.298e-03  2.482e-02  1.933e-02  7.539e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21481   1.000 -0.061  0.137 -0.176 -0.052
-        2  0.52839  -0.061  1.000  0.228  0.271  0.509
-        3  0.54059   0.137  0.228  1.000 -0.190  0.407
-        4  0.49556  -0.176  0.271 -0.190  1.000  0.311
-        5  0.64950  -0.052  0.509  0.407  0.311  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM HESSE     STATUS=OK             31 CALLS         252 TOTAL
-                     EDM=1.13732e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54743e+02   3.23491e-01   3.47135e-05   2.82090e-01
-   2  sg_p1        1.78036e+01   2.93564e-01   5.95236e-05  -3.52489e-01
-   3  sg_p2        5.29749e+02   7.04856e+00   2.46970e-04   2.76712e+00
-   4  sg_p3        8.01422e+01   7.18360e+00   6.13332e-04   5.92835e-01
-   5  sg_p4        9.16151e-01   8.67262e-03   4.40487e-04   9.83249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.046e-01 -6.090e-03  3.230e-01 -4.265e-01 -1.522e-04 
- -6.090e-03  8.619e-02  4.539e-01  5.786e-01  1.296e-03 
-  3.230e-01  4.539e-01  4.979e+01 -1.084e+01  2.423e-02 
- -4.265e-01  5.786e-01 -1.084e+01  5.225e+01  1.948e-02 
- -1.522e-04  1.296e-03  2.423e-02  1.948e-02  7.524e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22000   1.000 -0.064  0.142 -0.182 -0.054
-        2  0.52841  -0.064  1.000  0.219  0.273  0.509
-        3  0.54519   0.142  0.219  1.000 -0.213  0.396
-        4  0.50912  -0.182  0.273 -0.213  1.000  0.311
-        5  0.64862  -0.054  0.509  0.396  0.311  1.000
-550
-554.743 +- 0.323491
-17.8036 +- 0.293564
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20158.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.85494e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.04709e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.75210e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.33590e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.81352e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=7.37276e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54870e+02   3.11615e-01   8.46985e-04  -5.92156e-02
-   2  sg_p1        1.73495e+01   2.85260e-01   1.47111e-03   7.67177e-02
-   3  sg_p2        5.24331e+02   6.05754e+00   5.28257e-03   4.53885e-03
-   4  sg_p3        7.34136e+01   5.53118e+00   1.12466e-02  -1.10576e-02
-   5  sg_p4        9.15605e-01   8.65240e-03   2.17248e-03  -7.85532e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.711e-02 -7.947e-03  1.826e-01 -3.420e-01 -2.412e-04 
- -7.947e-03  8.138e-02  5.038e-01  4.162e-01  1.294e-03 
-  1.826e-01  5.038e-01  3.675e+01 -2.414e+00  2.461e-02 
- -3.420e-01  4.162e-01 -2.414e+00  3.078e+01  1.542e-02 
- -2.412e-04  1.294e-03  2.461e-02  1.542e-02  7.489e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23325   1.000 -0.089  0.097 -0.198 -0.089
-        2  0.54079  -0.089  1.000  0.291  0.263  0.524
-        3  0.54052   0.097  0.291  1.000 -0.072  0.469
-        4  0.44504  -0.198  0.263 -0.072  1.000  0.321
-        5  0.66858  -0.089  0.524  0.469  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM HESSE     STATUS=OK             31 CALLS         233 TOTAL
-                     EDM=7.38816e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54870e+02   3.11900e-01   1.69397e-04   2.85889e-01
-   2  sg_p1        1.73495e+01   2.85061e-01   2.94222e-04  -3.81980e-01
-   3  sg_p2        5.24331e+02   6.05810e+00   2.11303e-04   2.82772e+00
-   4  sg_p3        7.34136e+01   5.55334e+00   4.49864e-04   4.21567e-01
-   5  sg_p4        9.15605e-01   8.63836e-03   4.34496e-04   9.81281e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.728e-02 -8.106e-03  1.896e-01 -3.508e-01 -2.439e-04 
- -8.106e-03  8.127e-02  4.931e-01  4.161e-01  1.289e-03 
-  1.896e-01  4.931e-01  3.676e+01 -2.963e+00  2.422e-02 
- -3.508e-01  4.161e-01 -2.963e+00  3.103e+01  1.537e-02 
- -2.439e-04  1.289e-03  2.422e-02  1.537e-02  7.465e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23692   1.000 -0.091  0.100 -0.202 -0.091
-        2  0.53988  -0.091  1.000  0.285  0.262  0.523
-        3  0.54066   0.100  0.285  1.000 -0.088  0.462
-        4  0.45196  -0.202  0.262 -0.088  1.000  0.319
-        5  0.66723  -0.091  0.523  0.462  0.319  1.000
-550
-554.87 +- 0.3119
-17.3495 +- 0.285061
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18671.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.70584e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.36049e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.63312e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.13435e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.66463e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM MIGRAD    STATUS=CONVERGED     203 CALLS         204 TOTAL
-                     EDM=1.02695e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54811e+02   3.29767e-01   8.63223e-04  -1.93001e-01
-   2  sg_p1        1.76648e+01   3.03153e-01   1.48879e-03   3.74125e-02
-   3  sg_p2        5.25130e+02   6.59118e+00   5.51974e-03  -1.87163e-03
-   4  sg_p3        7.53402e+01   6.16780e+00   1.22242e-02  -1.30639e-02
-   5  sg_p4        9.15918e-01   9.07192e-03   2.19004e-03  -5.75224e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.088e-01 -8.558e-03  2.332e-01 -4.008e-01 -2.433e-04 
- -8.558e-03  9.191e-02  5.712e-01  5.058e-01  1.454e-03 
-  2.332e-01  5.712e-01  4.352e+01 -3.716e+00  2.786e-02 
- -4.008e-01  5.058e-01 -3.716e+00  3.834e+01  1.804e-02 
- -2.433e-04  1.454e-03  2.786e-02  1.804e-02  8.233e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23278   1.000 -0.086  0.107 -0.196 -0.081
-        2  0.54570  -0.086  1.000  0.286  0.269  0.529
-        3  0.54594   0.107  0.286  1.000 -0.091  0.465
-        4  0.45689  -0.196  0.269 -0.091  1.000  0.321
-        5  0.67171  -0.081  0.529  0.465  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM HESSE     STATUS=OK             31 CALLS         235 TOTAL
-                     EDM=1.02452e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54811e+02   3.30104e-01   1.72645e-04   2.84116e-01
-   2  sg_p1        1.76648e+01   3.03000e-01   5.95517e-05  -3.61468e-01
-   3  sg_p2        5.25130e+02   6.59509e+00   2.20790e-04   2.81886e+00
-   4  sg_p3        7.53402e+01   6.19835e+00   4.88968e-04   4.69011e-01
-   5  sg_p4        9.15918e-01   9.05834e-03   4.38009e-04   9.82408e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e-01 -8.764e-03  2.421e-01 -4.127e-01 -2.470e-04 
- -8.764e-03  9.182e-02  5.581e-01  5.069e-01  1.449e-03 
-  2.421e-01  5.581e-01  4.357e+01 -4.454e+00  2.739e-02 
- -4.127e-01  5.069e-01 -4.454e+00  3.873e+01  1.802e-02 
- -2.470e-04  1.449e-03  2.739e-02  1.802e-02  8.208e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23689   1.000 -0.088  0.111 -0.201 -0.083
-        2  0.54504  -0.088  1.000  0.279  0.269  0.528
-        3  0.54671   0.111  0.279  1.000 -0.108  0.458
-        4  0.46512  -0.201  0.269 -0.108  1.000  0.320
-        5  0.67048  -0.083  0.528  0.458  0.320  1.000
-550
-554.811 +- 0.330104
-17.6648 +- 0.303
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21296.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.94576e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.08481e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.85706e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.76455e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.89298e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=3.34483e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54825e+02   3.08932e-01   8.64414e-04  -3.40457e-01
-   2  sg_p1        1.76653e+01   2.83564e-01   1.49117e-03  -1.87292e-01
-   3  sg_p2        5.24710e+02   6.23394e+00   5.56281e-03  -3.21417e-03
-   4  sg_p3        7.62214e+01   5.87300e+00   1.25436e-02  -2.96877e-02
-   5  sg_p4        9.14864e-01   8.46661e-03   2.18261e-03   1.16509e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.544e-02 -7.404e-03  2.048e-01 -3.550e-01 -2.065e-04 
- -7.404e-03  8.042e-02  5.052e-01  4.449e-01  1.260e-03 
-  2.048e-01  5.052e-01  3.892e+01 -3.380e+00  2.466e-02 
- -3.550e-01  4.449e-01 -3.380e+00  3.475e+01  1.555e-02 
- -2.065e-04  1.260e-03  2.466e-02  1.555e-02  7.171e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23094   1.000 -0.085  0.106 -0.195 -0.079
-        2  0.54280  -0.085  1.000  0.286  0.266  0.525
-        3  0.54506   0.106  0.286  1.000 -0.092  0.467
-        4  0.44944  -0.195  0.266 -0.092  1.000  0.312
-        5  0.66734  -0.079  0.525  0.467  0.312  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM HESSE     STATUS=OK             31 CALLS         240 TOTAL
-                     EDM=3.3454e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54825e+02   3.09247e-01   1.72883e-04   2.84530e-01
-   2  sg_p1        1.76653e+01   2.83385e-01   2.98233e-04  -3.61435e-01
-   3  sg_p2        5.24710e+02   6.23786e+00   2.22512e-04   2.82352e+00
-   4  sg_p3        7.62214e+01   5.90192e+00   5.01743e-04   4.91089e-01
-   5  sg_p4        9.14864e-01   8.45305e-03   4.36523e-04   9.78619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.564e-02 -7.578e-03  2.127e-01 -3.656e-01 -2.095e-04 
- -7.578e-03  8.032e-02  4.934e-01  4.455e-01  1.255e-03 
-  2.127e-01  4.934e-01  3.897e+01 -4.053e+00  2.424e-02 
- -3.656e-01  4.455e-01 -4.053e+00  3.509e+01  1.551e-02 
- -2.095e-04  1.255e-03  2.424e-02  1.551e-02  7.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23507   1.000 -0.086  0.110 -0.200 -0.080
-        2  0.54198  -0.086  1.000  0.279  0.265  0.524
-        3  0.54588   0.110  0.279  1.000 -0.110  0.459
-        4  0.45781  -0.200  0.265 -0.110  1.000  0.310
-        5  0.66600  -0.080  0.524  0.459  0.310  1.000
-550
-554.825 +- 0.309247
-17.6653 +- 0.283385
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 25 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 34 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 38 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 39 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 40 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 47 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 112 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 114 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 554.818 +- 0.319404 (stat) - 0.949548 + 0.990665 (syst); -0.962884/+1.00345 (total)
-   Uncertainty on sg_p1 = 17.6653 +- 0.293042 (stat) - 0.37879 + 0.13828 (syst); -0.406141/+0.201469 (total)
-   Uncertainty on sg_p2 = 524.916 +- 6.41299 (stat) - 0.585115 + 4.83374 (syst); -3.25944/+5.80057 (total)
-   Uncertainty on sg_p3 = 75.7816 +- 6.04287 (stat) - 2.36797 + 4.36061 (syst); -3.8388/+5.30509 (total)
-   Uncertainty on sg_p4 = 0.915383 +- 0.00875334 (stat) - 0.00657606 + 0.00215055 (syst); -0.00789935/+0.00487649 (total) 
-   === Baseline plot === </br>
-   norm = 1470.79
-JEC     lnN   1.0002  -
-JER     lnN   1.01675  -
-btag    lnN   1.06585  -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt
deleted file mode 100644
index bfb9aa5..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1470.79 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06585    -
-JER       lnN     1.01675   - 
-JEC       lnN     1.0002   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02229693932   -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/pdf.log
deleted file mode 100644
index 259cbcf..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.8549 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.39547e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.33669e+01   1.80554e+00   2.71051e-03   4.30284e-06
-   2  Mean         9.99344e-01   2.90546e-03   5.44875e-06  -4.96208e-03
-   3  Sigma        2.22969e-02   2.61448e-03   6.50610e-05   1.72213e-05
-0.999344037733 +/- 0.0029054638886
-0.0222969393194 +/- 0.00261447795001
-PDF lnN 1.02229693932
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/signal550_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/signal550_sig.log
deleted file mode 100644
index 31e7a79..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_550_novo_285_624/signal550_sig.log
+++ /dev/null
@@ -1,872 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20474.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   5.07174e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.94014e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.02149e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   3.92576e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -5.54746e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=2.38221e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.31487e+02   5.32162e-01   1.51230e-03   1.42028e-02
-   2  sg_p1        2.98204e+01   4.47933e-01   2.42219e-03   7.73048e-03
-   3  sg_p2        4.57724e+02   1.56211e+01   1.09347e-02  -8.53008e-03
-   4  sg_p3        8.95652e+01   1.08014e+01   3.54792e-02   1.21216e-02
-   5  sg_p4        9.54096e-01   8.70766e-03   2.37118e-03  -9.01545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.832e-01 -4.050e-02  7.504e-01 -1.728e+00 -9.374e-04 
- -4.050e-02  2.007e-01 -3.095e+00  6.692e-01  2.076e-03 
-  7.504e-01 -3.095e+00  2.467e+02 -1.356e+01 -1.062e-01 
- -1.728e+00  6.692e-01 -1.356e+01  1.226e+02  1.630e-02 
- -9.374e-04  2.076e-03 -1.062e-01  1.630e-02  7.587e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.34824   1.000 -0.170  0.090 -0.293 -0.202
-        2  0.53901  -0.170  1.000 -0.440  0.135  0.532
-        3  0.78111   0.090 -0.440  1.000 -0.078 -0.776
-        4  0.32107  -0.293  0.135 -0.078  1.000  0.169
-        5  0.81348  -0.202  0.532 -0.776  0.169  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM HESSE     STATUS=OK             31 CALLS         325 TOTAL
-                     EDM=2.38806e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.31487e+02   5.34249e-01   6.04920e-05  -3.96390e-01
-   2  sg_p1        2.98204e+01   4.49790e-01   9.68875e-05   3.93104e-01
-   3  sg_p2        4.57724e+02   1.57210e+01   4.37390e-04  -4.03212e-01
-   4  sg_p3        8.95652e+01   1.08586e+01   1.41917e-03   8.75892e-01
-   5  sg_p4        9.54096e-01   8.77545e-03   4.74236e-04   1.13895e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.854e-01 -4.220e-02  8.178e-01 -1.810e+00 -9.783e-04 
- -4.220e-02  2.024e-01 -3.172e+00  7.162e-01  2.121e-03 
-  8.178e-01 -3.172e+00  2.499e+02 -1.585e+01 -1.082e-01 
- -1.810e+00  7.162e-01 -1.585e+01  1.240e+02  1.767e-02 
- -9.783e-04  2.121e-03 -1.082e-01  1.767e-02  7.705e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.35795   1.000 -0.176  0.097 -0.304 -0.209
-        2  0.54441  -0.176  1.000 -0.446  0.143  0.537
-        3  0.78430   0.097 -0.446  1.000 -0.090 -0.780
-        4  0.33330  -0.304  0.143 -0.090  1.000  0.181
-        5  0.81668  -0.209  0.537 -0.780  0.181  1.000
-550
-531.487 +- 0.534249
-29.8204 +- 0.44979
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20306.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   3.00053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.48703e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.55356e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   2.98032e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -6.39572e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=4.51479e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.33845e+02   5.50540e-01   1.48402e-03   3.91502e-02
-   2  sg_p1        2.97723e+01   4.71570e-01   2.44878e-03   2.61411e-02
-   3  sg_p2        4.60591e+02   1.38428e+01   8.85082e-03  -6.68765e-03
-   4  sg_p3        8.05212e+01   8.20745e+00   2.03850e-02   9.33536e-03
-   5  sg_p4        9.47592e-01   1.00547e-02   2.37122e-03  -3.27058e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.031e-01 -5.910e-02  9.827e-01 -1.368e+00 -1.430e-03 
- -5.910e-02  2.224e-01 -3.125e+00  3.654e-01  2.724e-03 
-  9.827e-01 -3.125e+00  1.932e+02  9.312e+00 -1.123e-01 
- -1.368e+00  3.654e-01  9.312e+00  6.849e+01  4.927e-03 
- -1.430e-03  2.724e-03 -1.123e-01  4.927e-03  1.012e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.39978   1.000 -0.228  0.128 -0.300 -0.258
-        2  0.58300  -0.228  1.000 -0.477  0.094  0.574
-        3  0.81557   0.128 -0.477  1.000  0.081 -0.803
-        4  0.35284  -0.300  0.094  0.081  1.000  0.059
-        5  0.84274  -0.258  0.574 -0.803  0.059  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM HESSE     STATUS=OK             31 CALLS         324 TOTAL
-                     EDM=4.5264e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.33845e+02   5.51808e-01   2.96804e-04  -3.24384e-01
-   2  sg_p1        2.97723e+01   4.73610e-01   9.79512e-05   3.89948e-01
-   3  sg_p2        4.60591e+02   1.39421e+01   3.54033e-04  -3.70629e-01
-   4  sg_p3        8.05212e+01   8.22375e+00   8.15398e-04   6.03025e-01
-   5  sg_p4        9.47592e-01   1.01305e-02   4.74244e-04   1.10884e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.045e-01 -6.047e-02  1.021e+00 -1.394e+00 -1.460e-03 
- -6.047e-02  2.244e-01 -3.200e+00  3.711e-01  2.779e-03 
-  1.021e+00 -3.200e+00  1.960e+02  9.327e+00 -1.144e-01 
- -1.394e+00  3.711e-01  9.327e+00  6.877e+01  5.012e-03 
- -1.460e-03  2.779e-03 -1.144e-01  5.012e-03  1.027e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.40458   1.000 -0.231  0.132 -0.305 -0.261
-        2  0.58785  -0.231  1.000 -0.483  0.094  0.579
-        3  0.81850   0.132 -0.483  1.000  0.080 -0.806
-        4  0.35705  -0.305  0.094  0.080  1.000  0.060
-        5  0.84530  -0.261  0.579 -0.806  0.060  1.000
-550
-533.845 +- 0.551808
-29.7723 +- 0.47361
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20361.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   7.00402e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   2.42051e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -8.13221e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   4.85542e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -4.37084e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.70671 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             37 CALLS         258 TOTAL
-                     EDM=0.0234896    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29061e+02   5.14520e-01   1.55758e-03   2.24394e-02
-   2  sg_p1        2.98860e+01   4.23991e-01   2.39855e-03  -1.26397e-01
-   3  sg_p2        4.50244e+02   1.76938e+01   1.40698e-02  -3.32037e-01
-   4  sg_p3        9.92707e+01   5.23923e+01   1.16245e-01  -1.87665e-01
-   5  sg_p4        9.58893e-01   7.41282e-03   2.32468e-03  -2.84571e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.50844e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29115e+02   5.27512e-01   1.55654e-03   5.63178e-02
-   2  sg_p1        2.98537e+01   4.31194e-01   2.39683e-03  -4.86594e-03
-   3  sg_p2        4.52810e+02   1.71881e+01   1.26957e-02  -2.51152e-02
-   4  sg_p3        9.42149e+01   1.22791e+01   5.42279e-02  -7.82994e-03
-   5  sg_p4        9.57905e-01   7.92585e-03   2.33854e-03  -5.94545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.783e-01 -2.926e-02  6.244e-01  2.021e+00 -6.669e-04 
- -2.926e-02  1.860e-01 -3.058e+00 -6.317e-01  1.675e-03 
-  6.244e-01 -3.058e+00  2.995e+02  2.884e+01 -1.049e-01 
-  2.021e+00 -6.317e-01  2.884e+01  1.696e+02 -1.694e-02 
- -6.669e-04  1.675e-03 -1.049e-01 -1.694e-02  6.285e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33042   1.000 -0.129  0.068  0.294 -0.159
-        2  0.49650  -0.129  1.000 -0.410 -0.112  0.490
-        3  0.76815   0.068 -0.410  1.000  0.128 -0.765
-        4  0.31895   0.294 -0.112  0.128  1.000 -0.164
-        5  0.79426  -0.159  0.490 -0.765 -0.164  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             31 CALLS         385 TOTAL
-                     EDM=3.65774e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.29115e+02   5.25382e-01   3.11308e-04  -4.71083e-01
-   2  sg_p1        2.98537e+01   4.32758e-01   9.58731e-05   3.95290e-01
-   3  sg_p2        4.52810e+02   1.73342e+01   5.07828e-04  -4.60177e-01
-   4  sg_p3        9.42149e+01   1.23119e+01   2.16911e-03   2.08346e+00
-   5  sg_p4        9.57905e-01   7.98860e-03   4.67708e-04   1.15752e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.761e-01 -3.020e-02  7.182e-01  1.927e+00 -6.928e-04 
- -3.020e-02  1.873e-01 -3.149e+00 -7.080e-01  1.713e-03 
-  7.182e-01 -3.149e+00  3.047e+02  3.675e+01 -1.073e-01 
-  1.927e+00 -7.080e-01  3.675e+01  1.706e+02 -1.945e-02 
- -6.928e-04  1.713e-03 -1.073e-01 -1.945e-02  6.385e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31928   1.000 -0.133  0.078  0.281 -0.165
-        2  0.50194  -0.133  1.000 -0.417 -0.125  0.495
-        3  0.77268   0.078 -0.417  1.000  0.161 -0.769
-        4  0.31887   0.281 -0.125  0.161  1.000 -0.186
-        5  0.79789  -0.165  0.495 -0.769 -0.186  1.000
-550
-529.115 +- 0.525382
-29.8537 +- 0.432758
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19951.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.82283e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.71398e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.74238e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.44109e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77604e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM MIGRAD    STATUS=CONVERGED     211 CALLS         212 TOTAL
-                     EDM=2.97149e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54818e+02   3.19097e-01   8.63536e-04  -3.36904e-01
-   2  sg_p1        1.76653e+01   2.93110e-01   1.48879e-03   2.40235e-04
-   3  sg_p2        5.24916e+02   6.40830e+00   5.54557e-03  -1.03056e-02
-   4  sg_p3        7.57816e+01   6.01449e+00   1.24041e-02  -3.47693e-02
-   5  sg_p4        9.15383e-01   8.76094e-03   2.18461e-03   2.17805e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.018e-01 -7.952e-03  2.184e-01 -3.767e-01 -2.239e-04 
- -7.952e-03  8.592e-02  5.369e-01  4.736e-01  1.353e-03 
-  2.184e-01  5.369e-01  4.114e+01 -3.542e+00  2.620e-02 
- -3.767e-01  4.736e-01 -3.542e+00  3.645e+01  1.672e-02 
- -2.239e-04  1.353e-03  2.620e-02  1.672e-02  7.678e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23180   1.000 -0.085  0.107 -0.196 -0.080
-        2  0.54417  -0.085  1.000  0.286  0.268  0.527
-        3  0.54552   0.107  0.286  1.000 -0.091  0.466
-        4  0.45297  -0.196  0.268 -0.091  1.000  0.316
-        5  0.66946  -0.080  0.527  0.466  0.316  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM HESSE     STATUS=OK             31 CALLS         243 TOTAL
-                     EDM=2.96981e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54818e+02   3.19404e-01   1.72707e-04   2.84322e-01
-   2  sg_p1        1.76653e+01   2.93042e-01   5.95515e-05  -3.61434e-01
-   3  sg_p2        5.24916e+02   6.41299e+00   1.10911e-03   2.82124e+00
-   4  sg_p3        7.57816e+01   6.04287e+00   4.96162e-04   4.80037e-01
-   5  sg_p4        9.15383e-01   8.75334e-03   8.73843e-05   9.80484e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.020e-01 -8.145e-03  2.258e-01 -3.874e-01 -2.275e-04 
- -8.145e-03  8.588e-02  5.267e-01  4.756e-01  1.350e-03 
-  2.258e-01  5.267e-01  4.120e+01 -4.152e+00  2.584e-02 
- -3.874e-01  4.756e-01 -4.152e+00  3.680e+01  1.675e-02 
- -2.275e-04  1.350e-03  2.584e-02  1.675e-02  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23569   1.000 -0.087  0.110 -0.200 -0.081
-        2  0.54387  -0.087  1.000  0.280  0.268  0.526
-        3  0.54648   0.110  0.280  1.000 -0.107  0.460
-        4  0.46089  -0.200  0.268 -0.107  1.000  0.315
-        5  0.66874  -0.081  0.526  0.460  0.315  1.000
-550
-554.818 +- 0.319404
-17.6653 +- 0.293042
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19898.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.95168e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   4.81948e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.76540e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.98194e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.74417e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM MIGRAD    STATUS=CONVERGED     196 CALLS         197 TOTAL
-                     EDM=1.01176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55808e+02   3.25659e-01   8.83901e-04  -1.63522e-01
-   2  sg_p1        1.77469e+01   3.01241e-01   1.51845e-03  -1.82594e-02
-   3  sg_p2        5.26122e+02   6.31840e+00   5.51012e-03  -4.30688e-02
-   4  sg_p3        7.70352e+01   6.10785e+00   1.27318e-02  -4.97405e-03
-   5  sg_p4        9.08807e-01   9.02494e-03   2.18610e-03  -1.94192e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.061e-01 -1.054e-02 -2.294e-01 -4.229e-01 -2.862e-04 
- -1.054e-02  9.076e-02 -4.904e-01  5.133e-01  1.441e-03 
- -2.294e-01 -4.904e-01  3.999e+01  5.524e+00 -2.505e-02 
- -4.229e-01  5.133e-01  5.524e+00  3.761e+01  1.706e-02 
- -2.862e-04  1.441e-03 -2.505e-02  1.706e-02  8.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24854   1.000 -0.107 -0.111 -0.212 -0.097
-        2  0.54949  -0.107  1.000 -0.257  0.278  0.530
-        3  0.54187  -0.111 -0.257  1.000  0.142 -0.439
-        4  0.47566  -0.212  0.278  0.142  1.000  0.308
-        5  0.66453  -0.097  0.530 -0.439  0.308  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM HESSE     STATUS=OK             31 CALLS         228 TOTAL
-                     EDM=1.00847e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.55808e+02   3.25832e-01   1.76780e-04   3.13943e-01
-   2  sg_p1        1.77469e+01   3.02069e-01   6.07379e-05  -3.56157e-01
-   3  sg_p2        5.26122e+02   6.32494e+00   1.10202e-03   6.61694e+00
-   4  sg_p3        7.70352e+01   6.12320e+00   5.09272e-04   5.11714e-01
-   5  sg_p4        9.08807e-01   9.06729e-03   8.74438e-05   9.57256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.062e-01 -1.081e-02 -2.268e-01 -4.286e-01 -2.938e-04 
- -1.081e-02  9.126e-02 -4.992e-01  5.258e-01  1.460e-03 
- -2.268e-01 -4.992e-01  4.007e+01  5.270e+00 -2.536e-02 
- -4.286e-01  5.258e-01  5.270e+00  3.780e+01  1.761e-02 
- -2.938e-04  1.460e-03 -2.536e-02  1.761e-02  8.224e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25053   1.000 -0.110 -0.110 -0.214 -0.099
-        2  0.55296  -0.110  1.000 -0.261  0.283  0.533
-        3  0.54324  -0.110 -0.261  1.000  0.135 -0.442
-        4  0.47947  -0.214  0.283  0.135  1.000  0.316
-        5  0.66843  -0.099  0.533 -0.442  0.316  1.000
-550
-555.808 +- 0.325832
-17.7469 +- 0.302069
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19728.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.67505e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.63661e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.67995e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.03919e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77879e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM MIGRAD    STATUS=CONVERGED     209 CALLS         210 TOTAL
-                     EDM=1.24678e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.53868e+02   3.10680e-01   8.32651e-04  -2.62603e-02
-   2  sg_p1        1.72866e+01   2.81268e-01   1.45728e-03   8.07767e-02
-   3  sg_p2        5.24887e+02   6.75798e+00   5.96660e-03  -3.92394e-02
-   4  sg_p3        7.92365e+01   6.79795e+00   1.48996e-02   6.90285e-03
-   5  sg_p4        9.17534e-01   8.29708e-03   2.15408e-03  -1.06137e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.652e-02 -6.967e-03  2.218e-01 -3.867e-01 -1.900e-04 
- -6.967e-03  7.912e-02  4.748e-01  5.229e-01  1.170e-03 
-  2.218e-01  4.748e-01  4.576e+01 -5.306e+00  2.407e-02 
- -3.867e-01  5.229e-01 -5.306e+00  4.672e+01  1.731e-02 
- -1.900e-04  1.170e-03  2.407e-02  1.731e-02  6.886e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21574   1.000 -0.080  0.106 -0.182 -0.074
-        2  0.52328  -0.080  1.000  0.250  0.272  0.501
-        3  0.51581   0.106  0.250  1.000 -0.115  0.429
-        4  0.44943  -0.182  0.272 -0.115  1.000  0.305
-        5  0.64010  -0.074  0.501  0.429  0.305  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM HESSE     STATUS=OK             31 CALLS         241 TOTAL
-                     EDM=1.27405e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.53868e+02   3.10987e-01   1.66530e-04   2.56169e-01
-   2  sg_p1        1.72866e+01   2.81269e-01   2.91456e-04  -3.86094e-01
-   3  sg_p2        5.24887e+02   6.76745e+00   1.19332e-03   2.82155e+00
-   4  sg_p3        7.92365e+01   6.83832e+00   5.95982e-04   5.68761e-01
-   5  sg_p4        9.17534e-01   8.29250e-03   8.61633e-05   9.88256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.672e-02 -7.180e-03  2.301e-01 -3.999e-01 -1.942e-04 
- -7.180e-03  7.912e-02  4.628e-01  5.278e-01  1.169e-03 
-  2.301e-01  4.628e-01  4.588e+01 -6.142e+00  2.369e-02 
- -3.999e-01  5.278e-01 -6.142e+00  4.728e+01  1.742e-02 
- -1.942e-04  1.169e-03  2.369e-02  1.742e-02  6.879e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22006   1.000 -0.082  0.109 -0.187 -0.075
-        2  0.52328  -0.082  1.000  0.243  0.273  0.501
-        3  0.51782   0.109  0.243  1.000 -0.132  0.422
-        4  0.45946  -0.187  0.273 -0.132  1.000  0.305
-        5  0.63959  -0.075  0.501  0.422  0.305  1.000
-550
-553.868 +- 0.310987
-17.2866 +- 0.281269
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19523.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.78246e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.48227e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.72744e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.53463e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.73440e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=1.1296e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54743e+02   3.23108e-01   8.67838e-04   1.02910e-02
-   2  sg_p1        1.78036e+01   2.93560e-01   1.48809e-03   3.64244e-02
-   3  sg_p2        5.29749e+02   7.02376e+00   6.17425e-03   3.49463e-03
-   4  sg_p3        8.01422e+01   7.11749e+00   1.53333e-02   4.67692e-03
-   5  sg_p4        9.16151e-01   8.68122e-03   2.20244e-03  -2.64886e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.044e-01 -5.800e-03  3.107e-01 -4.077e-01 -1.462e-04 
- -5.800e-03  8.619e-02  4.716e-01  5.708e-01  1.298e-03 
-  3.107e-01  4.716e-01  4.944e+01 -9.571e+00  2.482e-02 
- -4.077e-01  5.708e-01 -9.571e+00  5.129e+01  1.933e-02 
- -1.462e-04  1.298e-03  2.482e-02  1.933e-02  7.539e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21481   1.000 -0.061  0.137 -0.176 -0.052
-        2  0.52839  -0.061  1.000  0.228  0.271  0.509
-        3  0.54059   0.137  0.228  1.000 -0.190  0.407
-        4  0.49556  -0.176  0.271 -0.190  1.000  0.311
-        5  0.64950  -0.052  0.509  0.407  0.311  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM HESSE     STATUS=OK             31 CALLS         252 TOTAL
-                     EDM=1.13732e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54743e+02   3.23491e-01   3.47135e-05   2.82090e-01
-   2  sg_p1        1.78036e+01   2.93564e-01   5.95236e-05  -3.52489e-01
-   3  sg_p2        5.29749e+02   7.04856e+00   2.46970e-04   2.76712e+00
-   4  sg_p3        8.01422e+01   7.18360e+00   6.13332e-04   5.92835e-01
-   5  sg_p4        9.16151e-01   8.67262e-03   4.40487e-04   9.83249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.046e-01 -6.090e-03  3.230e-01 -4.265e-01 -1.522e-04 
- -6.090e-03  8.619e-02  4.539e-01  5.786e-01  1.296e-03 
-  3.230e-01  4.539e-01  4.979e+01 -1.084e+01  2.423e-02 
- -4.265e-01  5.786e-01 -1.084e+01  5.225e+01  1.948e-02 
- -1.522e-04  1.296e-03  2.423e-02  1.948e-02  7.524e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22000   1.000 -0.064  0.142 -0.182 -0.054
-        2  0.52841  -0.064  1.000  0.219  0.273  0.509
-        3  0.54519   0.142  0.219  1.000 -0.213  0.396
-        4  0.50912  -0.182  0.273 -0.213  1.000  0.311
-        5  0.64862  -0.054  0.509  0.396  0.311  1.000
-550
-554.743 +- 0.323491
-17.8036 +- 0.293564
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20158.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.85494e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.04709e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.75210e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.33590e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.81352e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=7.37276e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54870e+02   3.11615e-01   8.46985e-04  -5.92156e-02
-   2  sg_p1        1.73495e+01   2.85260e-01   1.47111e-03   7.67177e-02
-   3  sg_p2        5.24331e+02   6.05754e+00   5.28257e-03   4.53885e-03
-   4  sg_p3        7.34136e+01   5.53118e+00   1.12466e-02  -1.10576e-02
-   5  sg_p4        9.15605e-01   8.65240e-03   2.17248e-03  -7.85532e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.711e-02 -7.947e-03  1.826e-01 -3.420e-01 -2.412e-04 
- -7.947e-03  8.138e-02  5.038e-01  4.162e-01  1.294e-03 
-  1.826e-01  5.038e-01  3.675e+01 -2.414e+00  2.461e-02 
- -3.420e-01  4.162e-01 -2.414e+00  3.078e+01  1.542e-02 
- -2.412e-04  1.294e-03  2.461e-02  1.542e-02  7.489e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23325   1.000 -0.089  0.097 -0.198 -0.089
-        2  0.54079  -0.089  1.000  0.291  0.263  0.524
-        3  0.54052   0.097  0.291  1.000 -0.072  0.469
-        4  0.44504  -0.198  0.263 -0.072  1.000  0.321
-        5  0.66858  -0.089  0.524  0.469  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM HESSE     STATUS=OK             31 CALLS         233 TOTAL
-                     EDM=7.38816e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54870e+02   3.11900e-01   1.69397e-04   2.85889e-01
-   2  sg_p1        1.73495e+01   2.85061e-01   2.94222e-04  -3.81980e-01
-   3  sg_p2        5.24331e+02   6.05810e+00   2.11303e-04   2.82772e+00
-   4  sg_p3        7.34136e+01   5.55334e+00   4.49864e-04   4.21567e-01
-   5  sg_p4        9.15605e-01   8.63836e-03   4.34496e-04   9.81281e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.728e-02 -8.106e-03  1.896e-01 -3.508e-01 -2.439e-04 
- -8.106e-03  8.127e-02  4.931e-01  4.161e-01  1.289e-03 
-  1.896e-01  4.931e-01  3.676e+01 -2.963e+00  2.422e-02 
- -3.508e-01  4.161e-01 -2.963e+00  3.103e+01  1.537e-02 
- -2.439e-04  1.289e-03  2.422e-02  1.537e-02  7.465e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23692   1.000 -0.091  0.100 -0.202 -0.091
-        2  0.53988  -0.091  1.000  0.285  0.262  0.523
-        3  0.54066   0.100  0.285  1.000 -0.088  0.462
-        4  0.45196  -0.202  0.262 -0.088  1.000  0.319
-        5  0.66723  -0.091  0.523  0.462  0.319  1.000
-550
-554.87 +- 0.3119
-17.3495 +- 0.285061
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18671.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.70584e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.36049e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.63312e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.13435e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.66463e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM MIGRAD    STATUS=CONVERGED     203 CALLS         204 TOTAL
-                     EDM=1.02695e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54811e+02   3.29767e-01   8.63223e-04  -1.93001e-01
-   2  sg_p1        1.76648e+01   3.03153e-01   1.48879e-03   3.74125e-02
-   3  sg_p2        5.25130e+02   6.59118e+00   5.51974e-03  -1.87163e-03
-   4  sg_p3        7.53402e+01   6.16780e+00   1.22242e-02  -1.30639e-02
-   5  sg_p4        9.15918e-01   9.07192e-03   2.19004e-03  -5.75224e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.088e-01 -8.558e-03  2.332e-01 -4.008e-01 -2.433e-04 
- -8.558e-03  9.191e-02  5.712e-01  5.058e-01  1.454e-03 
-  2.332e-01  5.712e-01  4.352e+01 -3.716e+00  2.786e-02 
- -4.008e-01  5.058e-01 -3.716e+00  3.834e+01  1.804e-02 
- -2.433e-04  1.454e-03  2.786e-02  1.804e-02  8.233e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23278   1.000 -0.086  0.107 -0.196 -0.081
-        2  0.54570  -0.086  1.000  0.286  0.269  0.529
-        3  0.54594   0.107  0.286  1.000 -0.091  0.465
-        4  0.45689  -0.196  0.269 -0.091  1.000  0.321
-        5  0.67171  -0.081  0.529  0.465  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM HESSE     STATUS=OK             31 CALLS         235 TOTAL
-                     EDM=1.02452e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54811e+02   3.30104e-01   1.72645e-04   2.84116e-01
-   2  sg_p1        1.76648e+01   3.03000e-01   5.95517e-05  -3.61468e-01
-   3  sg_p2        5.25130e+02   6.59509e+00   2.20790e-04   2.81886e+00
-   4  sg_p3        7.53402e+01   6.19835e+00   4.88968e-04   4.69011e-01
-   5  sg_p4        9.15918e-01   9.05834e-03   4.38009e-04   9.82408e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e-01 -8.764e-03  2.421e-01 -4.127e-01 -2.470e-04 
- -8.764e-03  9.182e-02  5.581e-01  5.069e-01  1.449e-03 
-  2.421e-01  5.581e-01  4.357e+01 -4.454e+00  2.739e-02 
- -4.127e-01  5.069e-01 -4.454e+00  3.873e+01  1.802e-02 
- -2.470e-04  1.449e-03  2.739e-02  1.802e-02  8.208e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23689   1.000 -0.088  0.111 -0.201 -0.083
-        2  0.54504  -0.088  1.000  0.279  0.269  0.528
-        3  0.54671   0.111  0.279  1.000 -0.108  0.458
-        4  0.46512  -0.201  0.269 -0.108  1.000  0.320
-        5  0.67048  -0.083  0.528  0.458  0.320  1.000
-550
-554.811 +- 0.330104
-17.6648 +- 0.303
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21296.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.94576e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.08481e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.85706e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.76455e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.89298e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=3.34483e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54825e+02   3.08932e-01   8.64414e-04  -3.40457e-01
-   2  sg_p1        1.76653e+01   2.83564e-01   1.49117e-03  -1.87292e-01
-   3  sg_p2        5.24710e+02   6.23394e+00   5.56281e-03  -3.21417e-03
-   4  sg_p3        7.62214e+01   5.87300e+00   1.25436e-02  -2.96877e-02
-   5  sg_p4        9.14864e-01   8.46661e-03   2.18261e-03   1.16509e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.544e-02 -7.404e-03  2.048e-01 -3.550e-01 -2.065e-04 
- -7.404e-03  8.042e-02  5.052e-01  4.449e-01  1.260e-03 
-  2.048e-01  5.052e-01  3.892e+01 -3.380e+00  2.466e-02 
- -3.550e-01  4.449e-01 -3.380e+00  3.475e+01  1.555e-02 
- -2.065e-04  1.260e-03  2.466e-02  1.555e-02  7.171e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23094   1.000 -0.085  0.106 -0.195 -0.079
-        2  0.54280  -0.085  1.000  0.286  0.266  0.525
-        3  0.54506   0.106  0.286  1.000 -0.092  0.467
-        4  0.44944  -0.195  0.266 -0.092  1.000  0.312
-        5  0.66734  -0.079  0.525  0.467  0.312  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM HESSE     STATUS=OK             31 CALLS         240 TOTAL
-                     EDM=3.3454e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54825e+02   3.09247e-01   1.72883e-04   2.84530e-01
-   2  sg_p1        1.76653e+01   2.83385e-01   2.98233e-04  -3.61435e-01
-   3  sg_p2        5.24710e+02   6.23786e+00   2.22512e-04   2.82352e+00
-   4  sg_p3        7.62214e+01   5.90192e+00   5.01743e-04   4.91089e-01
-   5  sg_p4        9.14864e-01   8.45305e-03   4.36523e-04   9.78619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.564e-02 -7.578e-03  2.127e-01 -3.656e-01 -2.095e-04 
- -7.578e-03  8.032e-02  4.934e-01  4.455e-01  1.255e-03 
-  2.127e-01  4.934e-01  3.897e+01 -4.053e+00  2.424e-02 
- -3.656e-01  4.455e-01 -4.053e+00  3.509e+01  1.551e-02 
- -2.095e-04  1.255e-03  2.424e-02  1.551e-02  7.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23507   1.000 -0.086  0.110 -0.200 -0.080
-        2  0.54198  -0.086  1.000  0.279  0.265  0.524
-        3  0.54588   0.110  0.279  1.000 -0.110  0.459
-        4  0.45781  -0.200  0.265 -0.110  1.000  0.310
-        5  0.66600  -0.080  0.524  0.459  0.310  1.000
-550
-554.825 +- 0.309247
-17.6653 +- 0.283385
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 25 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 34 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 38 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 39 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 40 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 47 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 112 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 114 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 554.818 +- 0.319404 (stat) - 0.949548 + 0.990665 (syst); -0.962884/+1.00345 (total)
-   Uncertainty on sg_p1 = 17.6653 +- 0.293042 (stat) - 0.37879 + 0.13828 (syst); -0.406141/+0.201469 (total)
-   Uncertainty on sg_p2 = 524.916 +- 6.41299 (stat) - 0.585115 + 4.83374 (syst); -3.25944/+5.80057 (total)
-   Uncertainty on sg_p3 = 75.7816 +- 6.04287 (stat) - 2.36797 + 4.36061 (syst); -3.8388/+5.30509 (total)
-   Uncertainty on sg_p4 = 0.915383 +- 0.00875334 (stat) - 0.00657606 + 0.00215055 (syst); -0.00789935/+0.00487649 (total) 
-   === Baseline plot === </br>
-   norm = 1470.79
-JEC     lnN   1.0002  -
-JER     lnN   1.01675  -
-btag    lnN   1.06585  -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt
deleted file mode 100644
index 3c90258..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1712.99 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06714    -
-JER       lnN     1.01626   - 
-JEC       lnN     1.00275   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0229477477   -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/pdf.log
deleted file mode 100644
index 1900262..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.9498 FROM MIGRAD    STATUS=CONVERGED      71 CALLS          72 TOTAL
-                     EDM=6.95637e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.30566e+01   1.77733e+00   2.65488e-03   2.23742e-05
-   2  Mean         1.00046e+00   3.03346e-03   5.72003e-06   3.78371e-01
-   3  Sigma        2.29477e-02   2.84199e-03   6.88862e-05   6.32201e-03
-1.00046088083 +/- 0.0030334648545
-0.0229477477015 +/- 0.00284199080585
-PDF lnN 1.0229477477
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/signal600_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/signal600_sig.log
deleted file mode 100644
index 3215894..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_crystal_1_285_624/signal600_sig.log
+++ /dev/null
@@ -1,843 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24280 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.58677e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.18368e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.42384e+03
-   4  sg_p3        4.21820e+01   1.20000e+01  -4.82092e-01  -6.03718e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   7.69925e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM MIGRAD    STATUS=CONVERGED     442 CALLS         443 TOTAL
-                     EDM=3.37608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.88137e+02   2.17401e+00   1.57187e-03   5.45097e-02
-   2  sg_p1        2.90958e+01   6.86009e-01   3.13675e-03   7.79119e-02
-   3  sg_p2        5.59880e+02   5.00457e+00   1.98829e-03  -7.62283e-02
-   4  sg_p3        3.62716e+01   3.18321e+00   2.14823e-03   9.85100e-02
-   5  sg_p4        7.00002e-01   2.12576e-01   1.12952e-01   2.90847e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.731e+00 -1.030e+00 -9.979e+00 -6.388e+00 -2.483e-04 
- -1.030e+00  4.709e-01  2.213e+00  1.252e+00  1.258e-04 
- -9.979e+00  2.213e+00  2.508e+01  1.471e+01 -7.877e-04 
- -6.388e+00  1.252e+00  1.471e+01  1.015e+01  1.142e-06 
- -2.483e-04  1.258e-04 -7.877e-04  1.142e-06  1.239e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95782   1.000 -0.690 -0.916 -0.922 -0.103
-        2  0.73673  -0.690  1.000  0.644  0.573  0.165
-        3  0.96060  -0.916  0.644  1.000  0.922 -0.141
-        4  0.94775  -0.922  0.573  0.922  1.000  0.000
-        5  0.62405  -0.103  0.165 -0.141  0.000  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM HESSE     STATUS=OK             35 CALLS         478 TOTAL
-                     EDM=0.000121989    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.88137e+02   3.29842e+00   3.14373e-04  -3.84102e-01
-   2  sg_p1        2.90958e+01   1.12225e+00   1.25470e-04   3.45999e-01
-   3  sg_p2        5.59880e+02   4.99521e+00   3.97658e-04  -2.02989e-01
-   4  sg_p3        3.62716e+01   3.76792e+00   8.59293e-05  -5.96971e-01
-   5  sg_p4        7.00002e-01   2.43034e-01   4.60846e-01  -1.56553e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e+01 -3.238e+00 -9.781e+00 -1.140e+01 -3.564e-03 
- -3.238e+00  1.262e+00  2.139e+00  3.042e+00  1.285e-03 
- -9.781e+00  2.139e+00  2.499e+01  1.455e+01 -2.935e-04 
- -1.140e+01  3.042e+00  1.455e+01  1.422e+01  2.841e-03 
- -3.564e-03  1.285e-03 -2.935e-04  2.841e-03  2.063e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.98192   1.000 -0.873 -0.593 -0.915 -0.752
-        2  0.91068  -0.873  1.000  0.381  0.718  0.797
-        3  0.96045  -0.593  0.381  1.000  0.772 -0.041
-        4  0.96302  -0.915  0.718  0.772  1.000  0.524
-        5  0.96908  -0.752  0.797 -0.041  0.524  1.000
-600
-588.137 +- 3.29842
-29.0958 +- 1.12225
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23767.1 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.17349e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.02365e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.16298e+03
-   4  sg_p3        4.39845e+01   1.20000e+01  -4.48474e-01   4.93391e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   6.61691e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=4.72305e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92012e+02   1.51134e+00   1.46358e-03   1.14647e-01
-   2  sg_p1        2.81327e+01   6.59039e-01   2.96171e-03  -1.30179e-01
-   3  sg_p2        5.58427e+02   3.47970e+00   1.93226e-03   6.71315e-02
-   4  sg_p3        3.58696e+01   2.45943e+00   2.12007e-03   3.27001e-02
-   5  sg_p4        7.00002e-01   6.59449e-02   8.47138e-02   5.69759e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.285e+00 -7.049e-01 -4.524e+00 -3.253e+00 -8.515e-05 
- -7.049e-01  4.346e-01  1.539e+00  9.868e-01  4.573e-05 
- -4.524e+00  1.539e+00  1.212e+01  7.552e+00 -3.909e-04 
- -3.253e+00  9.868e-01  7.552e+00  6.054e+00 -5.215e-05 
- -8.515e-05  4.573e-05 -3.909e-04 -5.215e-05  5.765e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91672   1.000 -0.707 -0.860 -0.875 -0.074
-        2  0.73205  -0.707  1.000  0.671  0.608  0.091
-        3  0.92123  -0.860  0.671  1.000  0.882 -0.148
-        4  0.91302  -0.875  0.608  0.882  1.000 -0.028
-        5  0.44297  -0.074  0.091 -0.148 -0.028  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM HESSE     STATUS=OK             37 CALLS         367 TOTAL
-                     EDM=3.83352e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92012e+02   1.96656e+00   2.92716e-04  -2.92785e-01
-   2  sg_p1        2.81327e+01   8.71252e-01   5.92343e-04   2.84598e-01
-   3  sg_p2        5.58427e+02   3.77659e+00   3.86452e-04  -2.22807e-01
-   4  sg_p3        3.58696e+01   2.54070e+00   8.48026e-05  -6.05095e-01
-   5  sg_p4        7.00002e-01   1.87580e-01   5.00000e-01  -1.56561e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.870e+00 -1.423e+00 -2.748e+00 -4.031e+00 -1.028e-03 
- -1.423e+00  7.598e-01  7.297e-01  1.337e+00  4.676e-04 
- -2.748e+00  7.297e-01  1.428e+01  6.747e+00 -1.238e-03 
- -4.031e+00  1.337e+00  6.747e+00  6.461e+00  4.747e-04 
- -1.028e-03  4.676e-04 -1.238e-03  4.747e-04  6.718e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95171   1.000 -0.830 -0.370 -0.806 -0.637
-        2  0.85706  -0.830  1.000  0.222  0.604  0.654
-        3  0.93356  -0.370  0.222  1.000  0.703 -0.400
-        4  0.91874  -0.806  0.604  0.703  1.000  0.228
-        5  0.94267  -0.637  0.654 -0.400  0.228  1.000
-600
-592.012 +- 1.96656
-28.1327 +- 0.871252
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24394 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.94278e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.29909e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.67228e+03
-   4  sg_p3        4.09440e+01   1.20000e+01  -5.05526e-01  -7.57306e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   8.58548e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM MIGRAD    STATUS=CONVERGED     638 CALLS         639 TOTAL
-                     EDM=8.42969e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.78603e+02   5.64911e-01   1.40473e-03   3.72907e-01
-   2  sg_p1        3.20881e+01   4.06669e-01   2.67756e-03   1.44036e-01
-   3  sg_p2        5.00002e+02   1.10618e+02   1.52750e-01  -2.88106e-03
-   4  sg_p3        6.94039e+01   2.89324e+01   3.44374e-02  -1.04731e-02
-   5  sg_p4        9.76772e-01   7.03168e-03   5.92623e-03  -8.42769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.191e-01 -1.408e-02  3.587e-02 -7.029e+00  1.364e-04 
- -1.408e-02  1.654e-01 -3.289e-02 -2.769e+00  1.295e-03 
-  3.587e-02 -3.289e-02  6.513e-01 -1.947e+00 -1.609e-03 
- -7.029e+00 -2.769e+00 -1.947e+00  9.115e+02 -1.280e-01 
-  1.364e-04  1.295e-03 -1.609e-03 -1.280e-01  4.957e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49930   1.000 -0.061  0.079 -0.412  0.034
-        2  0.46165  -0.061  1.000 -0.100 -0.225  0.452
-        3  0.43169   0.079 -0.100  1.000 -0.080 -0.283
-        4  0.75355  -0.412 -0.225 -0.080  1.000 -0.602
-        5  0.76469   0.034  0.452 -0.283 -0.602  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM HESSE     STATUS=OK             35 CALLS         674 TOTAL
-                     EDM=8.36581e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.78603e+02   5.65787e-01   2.80946e-04  -6.26852e-01
-   2  sg_p1        3.20881e+01   4.25746e-01   5.35511e-04   5.47427e-01
-   3  sg_p2        5.00002e+02   9.83339e+01   5.00000e-01  -1.57791e+00
-   4  sg_p3        6.94039e+01   2.99669e+01   6.88747e-03  -9.93577e-03
-   5  sg_p4        9.76772e-01   9.53722e-03   1.18525e-03   1.00684e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.201e-01 -1.400e-02  1.487e-02 -7.254e+00  1.740e-04 
- -1.400e-02  1.813e-01 -8.069e-02 -3.550e+00  2.110e-03 
-  1.487e-02 -8.069e-02  3.935e-01  2.133e+00 -4.095e-03 
- -7.254e+00 -3.550e+00  2.133e+00  9.846e+02 -1.706e-01 
-  1.740e-04  2.110e-03 -4.095e-03 -1.706e-01  9.139e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50162   1.000 -0.058  0.042 -0.409  0.032
-        2  0.53111  -0.058  1.000 -0.302 -0.266  0.518
-        3  0.77391   0.042 -0.302  1.000  0.108 -0.683
-        4  0.77455  -0.409 -0.266  0.108  1.000 -0.569
-        5  0.88021   0.032  0.518 -0.683 -0.569  1.000
-600
-578.603 +- 0.565787
-32.0881 +- 0.425746
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21188 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10915e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.89680e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.48216e+02
-   4  sg_p3        5.20622e+01   1.20000e+01  -3.03606e-01   1.51172e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.90966e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM MIGRAD    STATUS=CONVERGED     266 CALLS         267 TOTAL
-                     EDM=3.97173e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06507e+02   4.54842e-01   7.93051e-04   2.28694e-01
-   2  sg_p1        1.74848e+01   6.42892e-01   1.87527e-03  -5.26219e-03
-   3  sg_p2        5.99858e+02   1.64781e+00   1.84882e-03   3.91300e-02
-   4  sg_p3        3.51205e+01   2.40944e+00   1.97487e-03  -2.11296e-02
-   5  sg_p4        7.69875e-01   4.95303e-02   1.12811e-02   5.41517e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.069e-01 -1.274e-01 -9.667e-02 -5.293e-01 -1.089e-02 
- -1.274e-01  4.136e-01 -4.310e-01  1.196e+00  2.909e-02 
- -9.667e-02 -4.310e-01  2.716e+00 -1.523e+00 -3.888e-02 
- -5.293e-01  1.196e+00 -1.523e+00  5.810e+00  1.117e-01 
- -1.089e-02  2.909e-02 -3.888e-02  1.117e-01  2.589e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62100   1.000 -0.435 -0.129 -0.483 -0.470
-        2  0.89410  -0.435  1.000 -0.407  0.772  0.889
-        3  0.60904  -0.129 -0.407  1.000 -0.383 -0.464
-        4  0.91664  -0.483  0.772 -0.383  1.000  0.910
-        5  0.95959  -0.470  0.889 -0.464  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM HESSE     STATUS=OK             31 CALLS         298 TOTAL
-                     EDM=3.94319e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06507e+02   4.49294e-01   1.58610e-04   3.34861e-02
-   2  sg_p1        1.74848e+01   6.23965e-01   7.50107e-05  -3.73160e-01
-   3  sg_p2        5.99858e+02   1.64758e+00   3.69764e-04   3.37830e-01
-   4  sg_p3        3.51205e+01   2.33871e+00   7.89949e-05  -6.20356e-01
-   5  sg_p4        7.69875e-01   4.80150e-02   4.51245e-04  -5.63520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.019e-01 -1.162e-01 -1.057e-01 -4.868e-01 -9.943e-03 
- -1.162e-01  3.895e-01 -4.147e-01  1.106e+00  2.709e-02 
- -1.057e-01 -4.147e-01  2.715e+00 -1.465e+00 -3.762e-02 
- -4.868e-01  1.106e+00 -1.465e+00  5.474e+00  1.042e-01 
- -9.943e-03  2.709e-02 -3.762e-02  1.042e-01  2.425e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60859   1.000 -0.414 -0.143 -0.463 -0.449
-        2  0.88716  -0.414  1.000 -0.403  0.757  0.881
-        3  0.60890  -0.143 -0.403  1.000 -0.380 -0.464
-        4  0.91127  -0.463  0.757 -0.380  1.000  0.905
-        5  0.95679  -0.449  0.881 -0.464  0.905  1.000
-600
-606.507 +- 0.449294
-17.4848 +- 0.623965
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20985 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -6.03053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.30191e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.66899e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.40682e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01  -1.90294e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM MIGRAD    STATUS=CONVERGED     278 CALLS         279 TOTAL
-                     EDM=1.57711e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07915e+02   5.09392e-01   8.36892e-04  -1.25909e-01
-   2  sg_p1        1.72285e+01   7.70692e-01   2.00532e-03  -9.85888e-02
-   3  sg_p2        6.00885e+02   1.55983e+00   1.61488e-03   1.97987e-02
-   4  sg_p3        3.39190e+01   2.23203e+00   1.72499e-03  -5.63339e-02
-   5  sg_p4        7.24773e-01   5.61261e-02   1.85033e-02   4.35514e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.965e-01 -2.282e-02 -6.210e-01 -1.671e-02 
- -1.965e-01  5.945e-01 -6.118e-01  1.389e+00  4.341e-02 
- -2.282e-02 -6.118e-01  2.433e+00 -1.664e+00 -5.404e-02 
- -6.210e-01  1.389e+00 -1.664e+00  4.986e+00  1.270e-01 
- -1.671e-02  4.341e-02 -5.404e-02  1.270e-01  3.808e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.67158   1.000 -0.500 -0.029 -0.546 -0.531
-        2  0.91709  -0.500  1.000 -0.509  0.807  0.912
-        3  0.68224  -0.029 -0.509  1.000 -0.478 -0.561
-        4  0.92836  -0.546  0.807 -0.478  1.000  0.922
-        5  0.96819  -0.531  0.912 -0.561  0.922  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM HESSE     STATUS=OK             31 CALLS         310 TOTAL
-                     EDM=1.26117e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07915e+02   4.85233e-01   1.67378e-04   6.48251e-02
-   2  sg_p1        1.72285e+01   6.67550e-01   4.01065e-04  -3.89892e-01
-   3  sg_p2        6.00885e+02   1.49623e+00   3.22976e-04   3.52384e-01
-   4  sg_p3        3.39190e+01   1.92936e+00   6.89997e-05  -6.45190e-01
-   5  sg_p4        7.24773e-01   4.89776e-02   7.40132e-04  -9.87850e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.355e-01 -1.368e-01 -9.181e-02 -4.464e-01 -1.164e-02 
- -1.368e-01  4.459e-01 -4.412e-01  9.559e-01  3.085e-02 
- -9.181e-02 -4.412e-01  2.239e+00 -1.168e+00 -3.968e-02 
- -4.464e-01  9.559e-01 -1.168e+00  3.724e+00  9.043e-02 
- -1.164e-02  3.085e-02 -3.968e-02  9.043e-02  2.749e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62849   1.000 -0.422 -0.126 -0.477 -0.457
-        2  0.88775  -0.422  1.000 -0.442  0.742  0.881
-        3  0.64733  -0.126 -0.442  1.000 -0.405 -0.506
-        4  0.90281  -0.477  0.742 -0.405  1.000  0.894
-        5  0.95565  -0.457  0.881 -0.506  0.894  1.000
-600
-607.915 +- 0.485233
-17.2285 +- 0.66755
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21050.7 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -2.45953e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.88326e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.88080e+02
-   4  sg_p3        4.00581e+01   1.20000e+01   8.28277e-02  -3.70864e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79687e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM MIGRAD    STATUS=CONVERGED     330 CALLS         331 TOTAL
-                     EDM=4.39005e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05123e+02   4.29424e-01   7.69738e-04   2.63328e-01
-   2  sg_p1        1.74149e+01   6.34617e-01   1.82227e-03  -3.70681e-04
-   3  sg_p2        5.99738e+02   1.64211e+00   1.95138e-03   3.85233e-02
-   4  sg_p3        3.56367e+01   2.67089e+00   2.08773e-03   1.43347e-02
-   5  sg_p4        7.87200e-01   4.88787e-02   1.01395e-02   6.65902e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.844e-01 -1.102e-01 -1.471e-01 -5.033e-01 -9.306e-03 
- -1.102e-01  4.030e-01 -3.214e-01  1.334e+00  2.833e-02 
- -1.471e-01 -3.214e-01  2.697e+00 -1.302e+00 -2.911e-02 
- -5.033e-01  1.334e+00 -1.302e+00  7.141e+00  1.227e-01 
- -9.306e-03  2.833e-02 -2.911e-02  1.227e-01  2.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.58762   1.000 -0.404 -0.209 -0.439 -0.433
-        2  0.89717  -0.404  1.000 -0.308  0.786  0.893
-        3  0.53678  -0.209 -0.308  1.000 -0.297 -0.355
-        4  0.92270  -0.439  0.786 -0.297  1.000  0.918
-        5  0.96074  -0.433  0.893 -0.355  0.918  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM HESSE     STATUS=OK             31 CALLS         362 TOTAL
-                     EDM=4.37345e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.05123e+02   4.25719e-01   1.53948e-04   2.72521e-03
-   2  sg_p1        1.74149e+01   6.21639e-01   7.28909e-05  -3.77714e-01
-   3  sg_p2        5.99738e+02   1.64785e+00   3.90277e-04   3.36136e-01
-   4  sg_p3        3.56367e+01   2.61918e+00   8.35094e-05  -6.09822e-01
-   5  sg_p4        7.87200e-01   4.78840e-02   4.05579e-04  -4.31980e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.812e-01 -1.028e-01 -1.491e-01 -4.715e-01 -8.683e-03 
- -1.028e-01  3.866e-01 -3.221e-01  1.267e+00  2.701e-02 
- -1.491e-01 -3.221e-01  2.716e+00 -1.312e+00 -2.930e-02 
- -4.715e-01  1.267e+00 -1.312e+00  6.867e+00  1.173e-01 
- -8.683e-03  2.701e-02 -2.930e-02  1.173e-01  2.394e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.57780   1.000 -0.388 -0.212 -0.423 -0.417
-        2  0.89257  -0.388  1.000 -0.314  0.777  0.888
-        3  0.54137  -0.212 -0.314  1.000 -0.304 -0.363
-        4  0.91948  -0.423  0.777 -0.304  1.000  0.915
-        5  0.95897  -0.417  0.888 -0.363  0.915  1.000
-600
-605.123 +- 0.425719
-17.4149 +- 0.621639
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20832.1 FROM MIGRAD    STATUS=INITIATE       35 CALLS          36 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10122e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.39759e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.41911e+02
-   4  sg_p3        5.22092e+01   1.20000e+01  -3.01040e-01  -3.82741e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79614e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=2.70998e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06501e+02   4.51807e-01   7.97409e-04  -7.03207e-02
-   2  sg_p1        1.77334e+01   6.52405e-01   1.87706e-03  -1.65059e-02
-   3  sg_p2        5.99469e+02   1.79002e+00   1.94437e-03  -5.75168e-02
-   4  sg_p3        3.61659e+01   2.58390e+00   2.08852e-03   2.55527e-02
-   5  sg_p4        7.77016e-01   4.86366e-02   1.06632e-02  -1.67483e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.041e-01 -1.198e-01 -9.305e-02 -5.364e-01 -9.937e-03 
- -1.198e-01  4.259e-01 -5.231e-01  1.301e+00  2.891e-02 
- -9.305e-02 -5.231e-01  3.205e+00 -1.947e+00 -4.507e-02 
- -5.364e-01  1.301e+00 -1.947e+00  6.683e+00  1.171e-01 
- -9.937e-03  2.891e-02 -4.507e-02  1.171e-01  2.483e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60028   1.000 -0.406 -0.115 -0.459 -0.441
-        2  0.89400  -0.406  1.000 -0.448  0.771  0.889
-        3  0.63123  -0.115 -0.448  1.000 -0.421 -0.505
-        4  0.91499  -0.459  0.771 -0.421  1.000  0.909
-        5  0.95914  -0.441  0.889 -0.505  0.909  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=2.68748e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06501e+02   4.47624e-01   1.59482e-04   3.33576e-02
-   2  sg_p1        1.77334e+01   6.37778e-01   7.50826e-05  -3.57025e-01
-   3  sg_p2        5.99469e+02   1.79219e+00   3.88875e-04   3.32337e-01
-   4  sg_p3        3.61659e+01   2.52790e+00   8.35409e-05  -5.99103e-01
-   5  sg_p4        7.77016e-01   4.75332e-02   4.26528e-04  -5.08149e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.004e-01 -1.112e-01 -1.007e-01 -5.017e-01 -9.233e-03 
- -1.112e-01  4.070e-01 -5.109e-01  1.227e+00  2.742e-02 
- -1.007e-01 -5.109e-01  3.213e+00 -1.905e+00 -4.423e-02 
- -5.017e-01  1.227e+00 -1.905e+00  6.396e+00  1.113e-01 
- -9.233e-03  2.742e-02 -4.423e-02  1.113e-01  2.366e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.59019   1.000 -0.389 -0.126 -0.443 -0.424
-        2  0.88878  -0.389  1.000 -0.447  0.760  0.884
-        3  0.63238  -0.126 -0.447  1.000 -0.420 -0.507
-        4  0.91099  -0.443  0.760 -0.420  1.000  0.904
-        5  0.95708  -0.424  0.884 -0.507  0.904  1.000
-600
-606.501 +- 0.447624
-17.7334 +- 0.637778
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21392 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.65951e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.31252e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.10216e+02
-   4  sg_p3        4.66234e+01   1.20000e+01  -4.00208e-01  -5.49343e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.97937e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM MIGRAD    STATUS=CONVERGED     269 CALLS         270 TOTAL
-                     EDM=8.82705e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06547e+02   4.53645e-01   7.81411e-04  -3.17610e-01
-   2  sg_p1        1.71843e+01   6.39064e-01   1.86421e-03  -1.15499e-01
-   3  sg_p2        5.99736e+02   1.60177e+00   1.78744e-03  -2.73906e-01
-   4  sg_p3        3.43642e+01   2.28667e+00   1.90587e-03  -2.99641e-02
-   5  sg_p4        7.67062e-01   4.97568e-02   1.14541e-02   2.14855e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.058e-01 -1.334e-01 -7.609e-02 -5.233e-01 -1.147e-02 
- -1.334e-01  4.086e-01 -4.283e-01  1.132e+00  2.917e-02 
- -7.609e-02 -4.283e-01  2.566e+00 -1.449e+00 -3.913e-02 
- -5.233e-01  1.132e+00 -1.449e+00  5.233e+00  1.065e-01 
- -1.147e-02  2.917e-02 -3.913e-02  1.065e-01  2.619e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.63674   1.000 -0.460 -0.105 -0.504 -0.494
-        2  0.89676  -0.460  1.000 -0.418  0.774  0.892
-        3  0.61833  -0.105 -0.418  1.000 -0.395 -0.477
-        4  0.91625  -0.504  0.774 -0.395  1.000  0.910
-        5  0.96016  -0.494  0.892 -0.477  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM HESSE     STATUS=OK             31 CALLS         301 TOTAL
-                     EDM=8.5019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06547e+02   4.46977e-01   1.56282e-04   3.43777e-02
-   2  sg_p1        1.71843e+01   6.16688e-01   3.72843e-04  -3.92793e-01
-   3  sg_p2        5.99736e+02   1.59872e+00   3.57489e-04   3.36110e-01
-   4  sg_p3        3.43642e+01   2.20755e+00   7.62346e-05  -6.35935e-01
-   5  sg_p4        7.67062e-01   4.79510e-02   4.58166e-04  -5.85865e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.998e-01 -1.203e-01 -8.781e-02 -4.759e-01 -1.035e-02 
- -1.203e-01  3.805e-01 -4.057e-01  1.032e+00  2.680e-02 
- -8.781e-02 -4.057e-01  2.556e+00 -1.372e+00 -3.733e-02 
- -4.759e-01  1.032e+00 -1.372e+00  4.877e+00  9.814e-02 
- -1.035e-02  2.680e-02 -3.733e-02  9.814e-02  2.422e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62255   1.000 -0.436 -0.123 -0.482 -0.470
-        2  0.88865  -0.436  1.000 -0.411  0.757  0.883
-        3  0.61643  -0.123 -0.411  1.000 -0.389 -0.474
-        4  0.90983  -0.482  0.757 -0.389  1.000  0.903
-        5  0.95684  -0.470  0.883 -0.474  0.903  1.000
-600
-606.547 +- 0.446977
-17.1843 +- 0.616688
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19809.1 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -3.98661e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.36177e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.54710e+02
-   4  sg_p3        5.02879e+01   1.20000e+01  -3.34752e-01   5.32152e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.78206e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM MIGRAD    STATUS=CONVERGED     302 CALLS         303 TOTAL
-                     EDM=4.9436e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06510e+02   4.72659e-01   7.94140e-04   3.55653e-02
-   2  sg_p1        1.74543e+01   6.69157e-01   1.87997e-03   6.61865e-02
-   3  sg_p2        5.99840e+02   1.69608e+00   1.82702e-03  -5.88858e-02
-   4  sg_p3        3.49426e+01   2.46655e+00   1.95035e-03   5.14767e-02
-   5  sg_p4        7.67921e-01   5.16557e-02   1.14960e-02  -1.52477e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.234e-01 -1.390e-01 -9.895e-02 -5.678e-01 -1.194e-02 
- -1.390e-01  4.481e-01 -4.692e-01  1.277e+00  3.171e-02 
- -9.895e-02 -4.692e-01  2.877e+00 -1.630e+00 -4.248e-02 
- -5.678e-01  1.277e+00 -1.630e+00  6.089e+00  1.197e-01 
- -1.194e-02  3.171e-02 -4.248e-02  1.197e-01  2.834e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62474   1.000 -0.439 -0.123 -0.487 -0.474
-        2  0.89528  -0.439  1.000 -0.413  0.773  0.890
-        3  0.61443  -0.123 -0.413  1.000 -0.390 -0.470
-        4  0.91716  -0.487  0.773 -0.390  1.000  0.911
-        5  0.96008  -0.474  0.890 -0.470  0.911  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM HESSE     STATUS=OK             31 CALLS         334 TOTAL
-                     EDM=4.86529e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06510e+02   4.66252e-01   1.58828e-04   3.35643e-02
-   2  sg_p1        1.74543e+01   6.46362e-01   3.75994e-04  -3.75146e-01
-   3  sg_p2        5.99840e+02   1.69368e+00   3.65403e-04   3.37581e-01
-   4  sg_p3        3.49426e+01   2.38364e+00   7.80141e-05  -6.24005e-01
-   5  sg_p4        7.67921e-01   4.98421e-02   4.59842e-04  -5.79010e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.174e-01 -1.255e-01 -1.108e-01 -5.172e-01 -1.078e-02 
- -1.255e-01  4.180e-01 -4.460e-01  1.166e+00  2.921e-02 
- -1.108e-01 -4.460e-01  2.869e+00 -1.550e+00 -4.066e-02 
- -5.172e-01  1.166e+00 -1.550e+00  5.686e+00  1.105e-01 
- -1.078e-02  2.921e-02 -4.066e-02  1.105e-01  2.627e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61109   1.000 -0.416 -0.140 -0.465 -0.451
-        2  0.88728  -0.416  1.000 -0.407  0.756  0.881
-        3  0.61300  -0.140 -0.407  1.000 -0.384 -0.468
-        4  0.91100  -0.465  0.756 -0.384  1.000  0.904
-        5  0.95686  -0.451  0.881 -0.468  0.904  1.000
-600
-606.51 +- 0.466252
-17.4543 +- 0.646362
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22637.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.51042e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.38232e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.64920e+02
-   4  sg_p3        5.14784e+01   1.20000e+01  -3.13819e-01  -6.61183e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -2.02962e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM MIGRAD    STATUS=CONVERGED     257 CALLS         258 TOTAL
-                     EDM=0.000145317    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06503e+02   4.37713e-01   7.91387e-04   5.04043e-01
-   2  sg_p1        1.75196e+01   6.16845e-01   1.86865e-03   2.85731e-01
-   3  sg_p2        5.99868e+02   1.60326e+00   1.87702e-03   4.97177e-02
-   4  sg_p3        3.53013e+01   2.35156e+00   2.00555e-03  -3.27558e-01
-   5  sg_p4        7.72033e-01   4.73986e-02   1.10014e-02   3.49818e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.916e-01 -1.162e-01 -9.469e-02 -4.921e-01 -9.894e-03 
- -1.162e-01  3.807e-01 -3.958e-01  1.117e+00  2.658e-02 
- -9.469e-02 -3.958e-01  2.571e+00 -1.422e+00 -3.558e-02 
- -4.921e-01  1.117e+00 -1.422e+00  5.534e+00  1.039e-01 
- -9.894e-03  2.658e-02 -3.558e-02  1.039e-01  2.357e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61676   1.000 -0.430 -0.135 -0.478 -0.466
-        2  0.89248  -0.430  1.000 -0.400  0.769  0.887
-        3  0.60372  -0.135 -0.400  1.000 -0.377 -0.457
-        4  0.91576  -0.478  0.769 -0.377  1.000  0.910
-        5  0.95892  -0.466  0.887 -0.457  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM HESSE     STATUS=OK             31 CALLS         289 TOTAL
-                     EDM=0.000143345    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06503e+02   4.32589e-01   1.58277e-04   3.34012e-02
-   2  sg_p1        1.75196e+01   5.99409e-01   3.73730e-04  -3.70891e-01
-   3  sg_p2        5.99868e+02   1.60399e+00   3.75403e-04   3.37969e-01
-   4  sg_p3        3.53013e+01   2.28660e+00   4.01111e-04  -6.16657e-01
-   5  sg_p4        7.72033e-01   4.60130e-02   4.40057e-04  -5.46595e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.871e-01 -1.064e-01 -1.024e-01 -4.539e-01 -9.063e-03 
- -1.064e-01  3.595e-01 -3.824e-01  1.036e+00  2.483e-02 
- -1.024e-01 -3.824e-01  2.573e+00 -1.376e+00 -3.459e-02 
- -4.539e-01  1.036e+00 -1.376e+00  5.232e+00  9.734e-02 
- -9.063e-03  2.483e-02 -3.459e-02  9.734e-02  2.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60467   1.000 -0.410 -0.148 -0.459 -0.445
-        2  0.88572  -0.410  1.000 -0.398  0.756  0.880
-        3  0.60420  -0.148 -0.398  1.000 -0.375 -0.458
-        4  0.91066  -0.459  0.756 -0.375  1.000  0.904
-        5  0.95622  -0.445  0.880 -0.458  0.904  1.000
-600
-606.503 +- 0.432589
-17.5196 +- 0.599409
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 81 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 606.507 +- 0.449294 (stat) - 1.38396 + 1.4085 (syst); -1.40207/+1.4263 (total)
-   Uncertainty on sg_p1 = 17.4848 +- 0.623965 (stat) - 0.300472 + 0.248681 (syst); -0.433147/+0.398968 (total)
-   Uncertainty on sg_p2 = 599.858 +- 1.64758 (stat) - 0.389024 + 1.02722 (syst); -0.911028/+1.31674 (total)
-   Uncertainty on sg_p3 = 35.1205 +- 2.33871 (stat) - 1.20153 + 1.04536 (syst); -1.67663/+1.56849 (total)
-   Uncertainty on sg_p4 = 0.769875 +- 0.048015 (stat) - 0.0451018 + 0.0173244 (syst); -0.0510934/+0.0296057 (total) 
-   === Baseline plot === </br>
-   norm = 1712.99
-JEC     lnN   1.00275  -
-JER     lnN   1.01626  -
-btag    lnN   1.06714  -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt
deleted file mode 100644
index 2b49156..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1712.99 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06714    -
-JER       lnN     1.01626   - 
-JEC       lnN     1.00275   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0229477477   -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/pdf.log
deleted file mode 100644
index 1900262..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.9498 FROM MIGRAD    STATUS=CONVERGED      71 CALLS          72 TOTAL
-                     EDM=6.95637e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.30566e+01   1.77733e+00   2.65488e-03   2.23742e-05
-   2  Mean         1.00046e+00   3.03346e-03   5.72003e-06   3.78371e-01
-   3  Sigma        2.29477e-02   2.84199e-03   6.88862e-05   6.32201e-03
-1.00046088083 +/- 0.0030334648545
-0.0229477477015 +/- 0.00284199080585
-PDF lnN 1.0229477477
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/signal600_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/signal600_sig.log
deleted file mode 100644
index 3215894..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_600_novo_285_624/signal600_sig.log
+++ /dev/null
@@ -1,843 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24280 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.58677e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.18368e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.42384e+03
-   4  sg_p3        4.21820e+01   1.20000e+01  -4.82092e-01  -6.03718e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   7.69925e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM MIGRAD    STATUS=CONVERGED     442 CALLS         443 TOTAL
-                     EDM=3.37608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.88137e+02   2.17401e+00   1.57187e-03   5.45097e-02
-   2  sg_p1        2.90958e+01   6.86009e-01   3.13675e-03   7.79119e-02
-   3  sg_p2        5.59880e+02   5.00457e+00   1.98829e-03  -7.62283e-02
-   4  sg_p3        3.62716e+01   3.18321e+00   2.14823e-03   9.85100e-02
-   5  sg_p4        7.00002e-01   2.12576e-01   1.12952e-01   2.90847e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.731e+00 -1.030e+00 -9.979e+00 -6.388e+00 -2.483e-04 
- -1.030e+00  4.709e-01  2.213e+00  1.252e+00  1.258e-04 
- -9.979e+00  2.213e+00  2.508e+01  1.471e+01 -7.877e-04 
- -6.388e+00  1.252e+00  1.471e+01  1.015e+01  1.142e-06 
- -2.483e-04  1.258e-04 -7.877e-04  1.142e-06  1.239e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95782   1.000 -0.690 -0.916 -0.922 -0.103
-        2  0.73673  -0.690  1.000  0.644  0.573  0.165
-        3  0.96060  -0.916  0.644  1.000  0.922 -0.141
-        4  0.94775  -0.922  0.573  0.922  1.000  0.000
-        5  0.62405  -0.103  0.165 -0.141  0.000  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM HESSE     STATUS=OK             35 CALLS         478 TOTAL
-                     EDM=0.000121989    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.88137e+02   3.29842e+00   3.14373e-04  -3.84102e-01
-   2  sg_p1        2.90958e+01   1.12225e+00   1.25470e-04   3.45999e-01
-   3  sg_p2        5.59880e+02   4.99521e+00   3.97658e-04  -2.02989e-01
-   4  sg_p3        3.62716e+01   3.76792e+00   8.59293e-05  -5.96971e-01
-   5  sg_p4        7.00002e-01   2.43034e-01   4.60846e-01  -1.56553e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e+01 -3.238e+00 -9.781e+00 -1.140e+01 -3.564e-03 
- -3.238e+00  1.262e+00  2.139e+00  3.042e+00  1.285e-03 
- -9.781e+00  2.139e+00  2.499e+01  1.455e+01 -2.935e-04 
- -1.140e+01  3.042e+00  1.455e+01  1.422e+01  2.841e-03 
- -3.564e-03  1.285e-03 -2.935e-04  2.841e-03  2.063e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.98192   1.000 -0.873 -0.593 -0.915 -0.752
-        2  0.91068  -0.873  1.000  0.381  0.718  0.797
-        3  0.96045  -0.593  0.381  1.000  0.772 -0.041
-        4  0.96302  -0.915  0.718  0.772  1.000  0.524
-        5  0.96908  -0.752  0.797 -0.041  0.524  1.000
-600
-588.137 +- 3.29842
-29.0958 +- 1.12225
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23767.1 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.17349e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.02365e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.16298e+03
-   4  sg_p3        4.39845e+01   1.20000e+01  -4.48474e-01   4.93391e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   6.61691e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=4.72305e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92012e+02   1.51134e+00   1.46358e-03   1.14647e-01
-   2  sg_p1        2.81327e+01   6.59039e-01   2.96171e-03  -1.30179e-01
-   3  sg_p2        5.58427e+02   3.47970e+00   1.93226e-03   6.71315e-02
-   4  sg_p3        3.58696e+01   2.45943e+00   2.12007e-03   3.27001e-02
-   5  sg_p4        7.00002e-01   6.59449e-02   8.47138e-02   5.69759e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.285e+00 -7.049e-01 -4.524e+00 -3.253e+00 -8.515e-05 
- -7.049e-01  4.346e-01  1.539e+00  9.868e-01  4.573e-05 
- -4.524e+00  1.539e+00  1.212e+01  7.552e+00 -3.909e-04 
- -3.253e+00  9.868e-01  7.552e+00  6.054e+00 -5.215e-05 
- -8.515e-05  4.573e-05 -3.909e-04 -5.215e-05  5.765e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91672   1.000 -0.707 -0.860 -0.875 -0.074
-        2  0.73205  -0.707  1.000  0.671  0.608  0.091
-        3  0.92123  -0.860  0.671  1.000  0.882 -0.148
-        4  0.91302  -0.875  0.608  0.882  1.000 -0.028
-        5  0.44297  -0.074  0.091 -0.148 -0.028  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM HESSE     STATUS=OK             37 CALLS         367 TOTAL
-                     EDM=3.83352e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92012e+02   1.96656e+00   2.92716e-04  -2.92785e-01
-   2  sg_p1        2.81327e+01   8.71252e-01   5.92343e-04   2.84598e-01
-   3  sg_p2        5.58427e+02   3.77659e+00   3.86452e-04  -2.22807e-01
-   4  sg_p3        3.58696e+01   2.54070e+00   8.48026e-05  -6.05095e-01
-   5  sg_p4        7.00002e-01   1.87580e-01   5.00000e-01  -1.56561e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.870e+00 -1.423e+00 -2.748e+00 -4.031e+00 -1.028e-03 
- -1.423e+00  7.598e-01  7.297e-01  1.337e+00  4.676e-04 
- -2.748e+00  7.297e-01  1.428e+01  6.747e+00 -1.238e-03 
- -4.031e+00  1.337e+00  6.747e+00  6.461e+00  4.747e-04 
- -1.028e-03  4.676e-04 -1.238e-03  4.747e-04  6.718e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95171   1.000 -0.830 -0.370 -0.806 -0.637
-        2  0.85706  -0.830  1.000  0.222  0.604  0.654
-        3  0.93356  -0.370  0.222  1.000  0.703 -0.400
-        4  0.91874  -0.806  0.604  0.703  1.000  0.228
-        5  0.94267  -0.637  0.654 -0.400  0.228  1.000
-600
-592.012 +- 1.96656
-28.1327 +- 0.871252
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24394 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.94278e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.29909e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.67228e+03
-   4  sg_p3        4.09440e+01   1.20000e+01  -5.05526e-01  -7.57306e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   8.58548e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM MIGRAD    STATUS=CONVERGED     638 CALLS         639 TOTAL
-                     EDM=8.42969e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.78603e+02   5.64911e-01   1.40473e-03   3.72907e-01
-   2  sg_p1        3.20881e+01   4.06669e-01   2.67756e-03   1.44036e-01
-   3  sg_p2        5.00002e+02   1.10618e+02   1.52750e-01  -2.88106e-03
-   4  sg_p3        6.94039e+01   2.89324e+01   3.44374e-02  -1.04731e-02
-   5  sg_p4        9.76772e-01   7.03168e-03   5.92623e-03  -8.42769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.191e-01 -1.408e-02  3.587e-02 -7.029e+00  1.364e-04 
- -1.408e-02  1.654e-01 -3.289e-02 -2.769e+00  1.295e-03 
-  3.587e-02 -3.289e-02  6.513e-01 -1.947e+00 -1.609e-03 
- -7.029e+00 -2.769e+00 -1.947e+00  9.115e+02 -1.280e-01 
-  1.364e-04  1.295e-03 -1.609e-03 -1.280e-01  4.957e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49930   1.000 -0.061  0.079 -0.412  0.034
-        2  0.46165  -0.061  1.000 -0.100 -0.225  0.452
-        3  0.43169   0.079 -0.100  1.000 -0.080 -0.283
-        4  0.75355  -0.412 -0.225 -0.080  1.000 -0.602
-        5  0.76469   0.034  0.452 -0.283 -0.602  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM HESSE     STATUS=OK             35 CALLS         674 TOTAL
-                     EDM=8.36581e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.78603e+02   5.65787e-01   2.80946e-04  -6.26852e-01
-   2  sg_p1        3.20881e+01   4.25746e-01   5.35511e-04   5.47427e-01
-   3  sg_p2        5.00002e+02   9.83339e+01   5.00000e-01  -1.57791e+00
-   4  sg_p3        6.94039e+01   2.99669e+01   6.88747e-03  -9.93577e-03
-   5  sg_p4        9.76772e-01   9.53722e-03   1.18525e-03   1.00684e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.201e-01 -1.400e-02  1.487e-02 -7.254e+00  1.740e-04 
- -1.400e-02  1.813e-01 -8.069e-02 -3.550e+00  2.110e-03 
-  1.487e-02 -8.069e-02  3.935e-01  2.133e+00 -4.095e-03 
- -7.254e+00 -3.550e+00  2.133e+00  9.846e+02 -1.706e-01 
-  1.740e-04  2.110e-03 -4.095e-03 -1.706e-01  9.139e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50162   1.000 -0.058  0.042 -0.409  0.032
-        2  0.53111  -0.058  1.000 -0.302 -0.266  0.518
-        3  0.77391   0.042 -0.302  1.000  0.108 -0.683
-        4  0.77455  -0.409 -0.266  0.108  1.000 -0.569
-        5  0.88021   0.032  0.518 -0.683 -0.569  1.000
-600
-578.603 +- 0.565787
-32.0881 +- 0.425746
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21188 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10915e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.89680e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.48216e+02
-   4  sg_p3        5.20622e+01   1.20000e+01  -3.03606e-01   1.51172e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.90966e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM MIGRAD    STATUS=CONVERGED     266 CALLS         267 TOTAL
-                     EDM=3.97173e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06507e+02   4.54842e-01   7.93051e-04   2.28694e-01
-   2  sg_p1        1.74848e+01   6.42892e-01   1.87527e-03  -5.26219e-03
-   3  sg_p2        5.99858e+02   1.64781e+00   1.84882e-03   3.91300e-02
-   4  sg_p3        3.51205e+01   2.40944e+00   1.97487e-03  -2.11296e-02
-   5  sg_p4        7.69875e-01   4.95303e-02   1.12811e-02   5.41517e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.069e-01 -1.274e-01 -9.667e-02 -5.293e-01 -1.089e-02 
- -1.274e-01  4.136e-01 -4.310e-01  1.196e+00  2.909e-02 
- -9.667e-02 -4.310e-01  2.716e+00 -1.523e+00 -3.888e-02 
- -5.293e-01  1.196e+00 -1.523e+00  5.810e+00  1.117e-01 
- -1.089e-02  2.909e-02 -3.888e-02  1.117e-01  2.589e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62100   1.000 -0.435 -0.129 -0.483 -0.470
-        2  0.89410  -0.435  1.000 -0.407  0.772  0.889
-        3  0.60904  -0.129 -0.407  1.000 -0.383 -0.464
-        4  0.91664  -0.483  0.772 -0.383  1.000  0.910
-        5  0.95959  -0.470  0.889 -0.464  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM HESSE     STATUS=OK             31 CALLS         298 TOTAL
-                     EDM=3.94319e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06507e+02   4.49294e-01   1.58610e-04   3.34861e-02
-   2  sg_p1        1.74848e+01   6.23965e-01   7.50107e-05  -3.73160e-01
-   3  sg_p2        5.99858e+02   1.64758e+00   3.69764e-04   3.37830e-01
-   4  sg_p3        3.51205e+01   2.33871e+00   7.89949e-05  -6.20356e-01
-   5  sg_p4        7.69875e-01   4.80150e-02   4.51245e-04  -5.63520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.019e-01 -1.162e-01 -1.057e-01 -4.868e-01 -9.943e-03 
- -1.162e-01  3.895e-01 -4.147e-01  1.106e+00  2.709e-02 
- -1.057e-01 -4.147e-01  2.715e+00 -1.465e+00 -3.762e-02 
- -4.868e-01  1.106e+00 -1.465e+00  5.474e+00  1.042e-01 
- -9.943e-03  2.709e-02 -3.762e-02  1.042e-01  2.425e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60859   1.000 -0.414 -0.143 -0.463 -0.449
-        2  0.88716  -0.414  1.000 -0.403  0.757  0.881
-        3  0.60890  -0.143 -0.403  1.000 -0.380 -0.464
-        4  0.91127  -0.463  0.757 -0.380  1.000  0.905
-        5  0.95679  -0.449  0.881 -0.464  0.905  1.000
-600
-606.507 +- 0.449294
-17.4848 +- 0.623965
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20985 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -6.03053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.30191e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.66899e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.40682e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01  -1.90294e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM MIGRAD    STATUS=CONVERGED     278 CALLS         279 TOTAL
-                     EDM=1.57711e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07915e+02   5.09392e-01   8.36892e-04  -1.25909e-01
-   2  sg_p1        1.72285e+01   7.70692e-01   2.00532e-03  -9.85888e-02
-   3  sg_p2        6.00885e+02   1.55983e+00   1.61488e-03   1.97987e-02
-   4  sg_p3        3.39190e+01   2.23203e+00   1.72499e-03  -5.63339e-02
-   5  sg_p4        7.24773e-01   5.61261e-02   1.85033e-02   4.35514e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.965e-01 -2.282e-02 -6.210e-01 -1.671e-02 
- -1.965e-01  5.945e-01 -6.118e-01  1.389e+00  4.341e-02 
- -2.282e-02 -6.118e-01  2.433e+00 -1.664e+00 -5.404e-02 
- -6.210e-01  1.389e+00 -1.664e+00  4.986e+00  1.270e-01 
- -1.671e-02  4.341e-02 -5.404e-02  1.270e-01  3.808e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.67158   1.000 -0.500 -0.029 -0.546 -0.531
-        2  0.91709  -0.500  1.000 -0.509  0.807  0.912
-        3  0.68224  -0.029 -0.509  1.000 -0.478 -0.561
-        4  0.92836  -0.546  0.807 -0.478  1.000  0.922
-        5  0.96819  -0.531  0.912 -0.561  0.922  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM HESSE     STATUS=OK             31 CALLS         310 TOTAL
-                     EDM=1.26117e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07915e+02   4.85233e-01   1.67378e-04   6.48251e-02
-   2  sg_p1        1.72285e+01   6.67550e-01   4.01065e-04  -3.89892e-01
-   3  sg_p2        6.00885e+02   1.49623e+00   3.22976e-04   3.52384e-01
-   4  sg_p3        3.39190e+01   1.92936e+00   6.89997e-05  -6.45190e-01
-   5  sg_p4        7.24773e-01   4.89776e-02   7.40132e-04  -9.87850e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.355e-01 -1.368e-01 -9.181e-02 -4.464e-01 -1.164e-02 
- -1.368e-01  4.459e-01 -4.412e-01  9.559e-01  3.085e-02 
- -9.181e-02 -4.412e-01  2.239e+00 -1.168e+00 -3.968e-02 
- -4.464e-01  9.559e-01 -1.168e+00  3.724e+00  9.043e-02 
- -1.164e-02  3.085e-02 -3.968e-02  9.043e-02  2.749e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62849   1.000 -0.422 -0.126 -0.477 -0.457
-        2  0.88775  -0.422  1.000 -0.442  0.742  0.881
-        3  0.64733  -0.126 -0.442  1.000 -0.405 -0.506
-        4  0.90281  -0.477  0.742 -0.405  1.000  0.894
-        5  0.95565  -0.457  0.881 -0.506  0.894  1.000
-600
-607.915 +- 0.485233
-17.2285 +- 0.66755
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21050.7 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -2.45953e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.88326e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.88080e+02
-   4  sg_p3        4.00581e+01   1.20000e+01   8.28277e-02  -3.70864e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79687e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM MIGRAD    STATUS=CONVERGED     330 CALLS         331 TOTAL
-                     EDM=4.39005e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05123e+02   4.29424e-01   7.69738e-04   2.63328e-01
-   2  sg_p1        1.74149e+01   6.34617e-01   1.82227e-03  -3.70681e-04
-   3  sg_p2        5.99738e+02   1.64211e+00   1.95138e-03   3.85233e-02
-   4  sg_p3        3.56367e+01   2.67089e+00   2.08773e-03   1.43347e-02
-   5  sg_p4        7.87200e-01   4.88787e-02   1.01395e-02   6.65902e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.844e-01 -1.102e-01 -1.471e-01 -5.033e-01 -9.306e-03 
- -1.102e-01  4.030e-01 -3.214e-01  1.334e+00  2.833e-02 
- -1.471e-01 -3.214e-01  2.697e+00 -1.302e+00 -2.911e-02 
- -5.033e-01  1.334e+00 -1.302e+00  7.141e+00  1.227e-01 
- -9.306e-03  2.833e-02 -2.911e-02  1.227e-01  2.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.58762   1.000 -0.404 -0.209 -0.439 -0.433
-        2  0.89717  -0.404  1.000 -0.308  0.786  0.893
-        3  0.53678  -0.209 -0.308  1.000 -0.297 -0.355
-        4  0.92270  -0.439  0.786 -0.297  1.000  0.918
-        5  0.96074  -0.433  0.893 -0.355  0.918  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM HESSE     STATUS=OK             31 CALLS         362 TOTAL
-                     EDM=4.37345e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.05123e+02   4.25719e-01   1.53948e-04   2.72521e-03
-   2  sg_p1        1.74149e+01   6.21639e-01   7.28909e-05  -3.77714e-01
-   3  sg_p2        5.99738e+02   1.64785e+00   3.90277e-04   3.36136e-01
-   4  sg_p3        3.56367e+01   2.61918e+00   8.35094e-05  -6.09822e-01
-   5  sg_p4        7.87200e-01   4.78840e-02   4.05579e-04  -4.31980e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.812e-01 -1.028e-01 -1.491e-01 -4.715e-01 -8.683e-03 
- -1.028e-01  3.866e-01 -3.221e-01  1.267e+00  2.701e-02 
- -1.491e-01 -3.221e-01  2.716e+00 -1.312e+00 -2.930e-02 
- -4.715e-01  1.267e+00 -1.312e+00  6.867e+00  1.173e-01 
- -8.683e-03  2.701e-02 -2.930e-02  1.173e-01  2.394e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.57780   1.000 -0.388 -0.212 -0.423 -0.417
-        2  0.89257  -0.388  1.000 -0.314  0.777  0.888
-        3  0.54137  -0.212 -0.314  1.000 -0.304 -0.363
-        4  0.91948  -0.423  0.777 -0.304  1.000  0.915
-        5  0.95897  -0.417  0.888 -0.363  0.915  1.000
-600
-605.123 +- 0.425719
-17.4149 +- 0.621639
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20832.1 FROM MIGRAD    STATUS=INITIATE       35 CALLS          36 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10122e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.39759e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.41911e+02
-   4  sg_p3        5.22092e+01   1.20000e+01  -3.01040e-01  -3.82741e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79614e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=2.70998e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06501e+02   4.51807e-01   7.97409e-04  -7.03207e-02
-   2  sg_p1        1.77334e+01   6.52405e-01   1.87706e-03  -1.65059e-02
-   3  sg_p2        5.99469e+02   1.79002e+00   1.94437e-03  -5.75168e-02
-   4  sg_p3        3.61659e+01   2.58390e+00   2.08852e-03   2.55527e-02
-   5  sg_p4        7.77016e-01   4.86366e-02   1.06632e-02  -1.67483e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.041e-01 -1.198e-01 -9.305e-02 -5.364e-01 -9.937e-03 
- -1.198e-01  4.259e-01 -5.231e-01  1.301e+00  2.891e-02 
- -9.305e-02 -5.231e-01  3.205e+00 -1.947e+00 -4.507e-02 
- -5.364e-01  1.301e+00 -1.947e+00  6.683e+00  1.171e-01 
- -9.937e-03  2.891e-02 -4.507e-02  1.171e-01  2.483e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60028   1.000 -0.406 -0.115 -0.459 -0.441
-        2  0.89400  -0.406  1.000 -0.448  0.771  0.889
-        3  0.63123  -0.115 -0.448  1.000 -0.421 -0.505
-        4  0.91499  -0.459  0.771 -0.421  1.000  0.909
-        5  0.95914  -0.441  0.889 -0.505  0.909  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=2.68748e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06501e+02   4.47624e-01   1.59482e-04   3.33576e-02
-   2  sg_p1        1.77334e+01   6.37778e-01   7.50826e-05  -3.57025e-01
-   3  sg_p2        5.99469e+02   1.79219e+00   3.88875e-04   3.32337e-01
-   4  sg_p3        3.61659e+01   2.52790e+00   8.35409e-05  -5.99103e-01
-   5  sg_p4        7.77016e-01   4.75332e-02   4.26528e-04  -5.08149e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.004e-01 -1.112e-01 -1.007e-01 -5.017e-01 -9.233e-03 
- -1.112e-01  4.070e-01 -5.109e-01  1.227e+00  2.742e-02 
- -1.007e-01 -5.109e-01  3.213e+00 -1.905e+00 -4.423e-02 
- -5.017e-01  1.227e+00 -1.905e+00  6.396e+00  1.113e-01 
- -9.233e-03  2.742e-02 -4.423e-02  1.113e-01  2.366e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.59019   1.000 -0.389 -0.126 -0.443 -0.424
-        2  0.88878  -0.389  1.000 -0.447  0.760  0.884
-        3  0.63238  -0.126 -0.447  1.000 -0.420 -0.507
-        4  0.91099  -0.443  0.760 -0.420  1.000  0.904
-        5  0.95708  -0.424  0.884 -0.507  0.904  1.000
-600
-606.501 +- 0.447624
-17.7334 +- 0.637778
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21392 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.65951e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.31252e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.10216e+02
-   4  sg_p3        4.66234e+01   1.20000e+01  -4.00208e-01  -5.49343e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.97937e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM MIGRAD    STATUS=CONVERGED     269 CALLS         270 TOTAL
-                     EDM=8.82705e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06547e+02   4.53645e-01   7.81411e-04  -3.17610e-01
-   2  sg_p1        1.71843e+01   6.39064e-01   1.86421e-03  -1.15499e-01
-   3  sg_p2        5.99736e+02   1.60177e+00   1.78744e-03  -2.73906e-01
-   4  sg_p3        3.43642e+01   2.28667e+00   1.90587e-03  -2.99641e-02
-   5  sg_p4        7.67062e-01   4.97568e-02   1.14541e-02   2.14855e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.058e-01 -1.334e-01 -7.609e-02 -5.233e-01 -1.147e-02 
- -1.334e-01  4.086e-01 -4.283e-01  1.132e+00  2.917e-02 
- -7.609e-02 -4.283e-01  2.566e+00 -1.449e+00 -3.913e-02 
- -5.233e-01  1.132e+00 -1.449e+00  5.233e+00  1.065e-01 
- -1.147e-02  2.917e-02 -3.913e-02  1.065e-01  2.619e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.63674   1.000 -0.460 -0.105 -0.504 -0.494
-        2  0.89676  -0.460  1.000 -0.418  0.774  0.892
-        3  0.61833  -0.105 -0.418  1.000 -0.395 -0.477
-        4  0.91625  -0.504  0.774 -0.395  1.000  0.910
-        5  0.96016  -0.494  0.892 -0.477  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM HESSE     STATUS=OK             31 CALLS         301 TOTAL
-                     EDM=8.5019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06547e+02   4.46977e-01   1.56282e-04   3.43777e-02
-   2  sg_p1        1.71843e+01   6.16688e-01   3.72843e-04  -3.92793e-01
-   3  sg_p2        5.99736e+02   1.59872e+00   3.57489e-04   3.36110e-01
-   4  sg_p3        3.43642e+01   2.20755e+00   7.62346e-05  -6.35935e-01
-   5  sg_p4        7.67062e-01   4.79510e-02   4.58166e-04  -5.85865e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.998e-01 -1.203e-01 -8.781e-02 -4.759e-01 -1.035e-02 
- -1.203e-01  3.805e-01 -4.057e-01  1.032e+00  2.680e-02 
- -8.781e-02 -4.057e-01  2.556e+00 -1.372e+00 -3.733e-02 
- -4.759e-01  1.032e+00 -1.372e+00  4.877e+00  9.814e-02 
- -1.035e-02  2.680e-02 -3.733e-02  9.814e-02  2.422e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62255   1.000 -0.436 -0.123 -0.482 -0.470
-        2  0.88865  -0.436  1.000 -0.411  0.757  0.883
-        3  0.61643  -0.123 -0.411  1.000 -0.389 -0.474
-        4  0.90983  -0.482  0.757 -0.389  1.000  0.903
-        5  0.95684  -0.470  0.883 -0.474  0.903  1.000
-600
-606.547 +- 0.446977
-17.1843 +- 0.616688
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19809.1 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -3.98661e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.36177e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.54710e+02
-   4  sg_p3        5.02879e+01   1.20000e+01  -3.34752e-01   5.32152e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.78206e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM MIGRAD    STATUS=CONVERGED     302 CALLS         303 TOTAL
-                     EDM=4.9436e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06510e+02   4.72659e-01   7.94140e-04   3.55653e-02
-   2  sg_p1        1.74543e+01   6.69157e-01   1.87997e-03   6.61865e-02
-   3  sg_p2        5.99840e+02   1.69608e+00   1.82702e-03  -5.88858e-02
-   4  sg_p3        3.49426e+01   2.46655e+00   1.95035e-03   5.14767e-02
-   5  sg_p4        7.67921e-01   5.16557e-02   1.14960e-02  -1.52477e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.234e-01 -1.390e-01 -9.895e-02 -5.678e-01 -1.194e-02 
- -1.390e-01  4.481e-01 -4.692e-01  1.277e+00  3.171e-02 
- -9.895e-02 -4.692e-01  2.877e+00 -1.630e+00 -4.248e-02 
- -5.678e-01  1.277e+00 -1.630e+00  6.089e+00  1.197e-01 
- -1.194e-02  3.171e-02 -4.248e-02  1.197e-01  2.834e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62474   1.000 -0.439 -0.123 -0.487 -0.474
-        2  0.89528  -0.439  1.000 -0.413  0.773  0.890
-        3  0.61443  -0.123 -0.413  1.000 -0.390 -0.470
-        4  0.91716  -0.487  0.773 -0.390  1.000  0.911
-        5  0.96008  -0.474  0.890 -0.470  0.911  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM HESSE     STATUS=OK             31 CALLS         334 TOTAL
-                     EDM=4.86529e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06510e+02   4.66252e-01   1.58828e-04   3.35643e-02
-   2  sg_p1        1.74543e+01   6.46362e-01   3.75994e-04  -3.75146e-01
-   3  sg_p2        5.99840e+02   1.69368e+00   3.65403e-04   3.37581e-01
-   4  sg_p3        3.49426e+01   2.38364e+00   7.80141e-05  -6.24005e-01
-   5  sg_p4        7.67921e-01   4.98421e-02   4.59842e-04  -5.79010e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.174e-01 -1.255e-01 -1.108e-01 -5.172e-01 -1.078e-02 
- -1.255e-01  4.180e-01 -4.460e-01  1.166e+00  2.921e-02 
- -1.108e-01 -4.460e-01  2.869e+00 -1.550e+00 -4.066e-02 
- -5.172e-01  1.166e+00 -1.550e+00  5.686e+00  1.105e-01 
- -1.078e-02  2.921e-02 -4.066e-02  1.105e-01  2.627e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61109   1.000 -0.416 -0.140 -0.465 -0.451
-        2  0.88728  -0.416  1.000 -0.407  0.756  0.881
-        3  0.61300  -0.140 -0.407  1.000 -0.384 -0.468
-        4  0.91100  -0.465  0.756 -0.384  1.000  0.904
-        5  0.95686  -0.451  0.881 -0.468  0.904  1.000
-600
-606.51 +- 0.466252
-17.4543 +- 0.646362
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22637.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.51042e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.38232e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.64920e+02
-   4  sg_p3        5.14784e+01   1.20000e+01  -3.13819e-01  -6.61183e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -2.02962e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM MIGRAD    STATUS=CONVERGED     257 CALLS         258 TOTAL
-                     EDM=0.000145317    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06503e+02   4.37713e-01   7.91387e-04   5.04043e-01
-   2  sg_p1        1.75196e+01   6.16845e-01   1.86865e-03   2.85731e-01
-   3  sg_p2        5.99868e+02   1.60326e+00   1.87702e-03   4.97177e-02
-   4  sg_p3        3.53013e+01   2.35156e+00   2.00555e-03  -3.27558e-01
-   5  sg_p4        7.72033e-01   4.73986e-02   1.10014e-02   3.49818e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.916e-01 -1.162e-01 -9.469e-02 -4.921e-01 -9.894e-03 
- -1.162e-01  3.807e-01 -3.958e-01  1.117e+00  2.658e-02 
- -9.469e-02 -3.958e-01  2.571e+00 -1.422e+00 -3.558e-02 
- -4.921e-01  1.117e+00 -1.422e+00  5.534e+00  1.039e-01 
- -9.894e-03  2.658e-02 -3.558e-02  1.039e-01  2.357e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61676   1.000 -0.430 -0.135 -0.478 -0.466
-        2  0.89248  -0.430  1.000 -0.400  0.769  0.887
-        3  0.60372  -0.135 -0.400  1.000 -0.377 -0.457
-        4  0.91576  -0.478  0.769 -0.377  1.000  0.910
-        5  0.95892  -0.466  0.887 -0.457  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM HESSE     STATUS=OK             31 CALLS         289 TOTAL
-                     EDM=0.000143345    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06503e+02   4.32589e-01   1.58277e-04   3.34012e-02
-   2  sg_p1        1.75196e+01   5.99409e-01   3.73730e-04  -3.70891e-01
-   3  sg_p2        5.99868e+02   1.60399e+00   3.75403e-04   3.37969e-01
-   4  sg_p3        3.53013e+01   2.28660e+00   4.01111e-04  -6.16657e-01
-   5  sg_p4        7.72033e-01   4.60130e-02   4.40057e-04  -5.46595e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.871e-01 -1.064e-01 -1.024e-01 -4.539e-01 -9.063e-03 
- -1.064e-01  3.595e-01 -3.824e-01  1.036e+00  2.483e-02 
- -1.024e-01 -3.824e-01  2.573e+00 -1.376e+00 -3.459e-02 
- -4.539e-01  1.036e+00 -1.376e+00  5.232e+00  9.734e-02 
- -9.063e-03  2.483e-02 -3.459e-02  9.734e-02  2.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60467   1.000 -0.410 -0.148 -0.459 -0.445
-        2  0.88572  -0.410  1.000 -0.398  0.756  0.880
-        3  0.60420  -0.148 -0.398  1.000 -0.375 -0.458
-        4  0.91066  -0.459  0.756 -0.375  1.000  0.904
-        5  0.95622  -0.445  0.880 -0.458  0.904  1.000
-600
-606.503 +- 0.432589
-17.5196 +- 0.599409
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 81 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 606.507 +- 0.449294 (stat) - 1.38396 + 1.4085 (syst); -1.40207/+1.4263 (total)
-   Uncertainty on sg_p1 = 17.4848 +- 0.623965 (stat) - 0.300472 + 0.248681 (syst); -0.433147/+0.398968 (total)
-   Uncertainty on sg_p2 = 599.858 +- 1.64758 (stat) - 0.389024 + 1.02722 (syst); -0.911028/+1.31674 (total)
-   Uncertainty on sg_p3 = 35.1205 +- 2.33871 (stat) - 1.20153 + 1.04536 (syst); -1.67663/+1.56849 (total)
-   Uncertainty on sg_p4 = 0.769875 +- 0.048015 (stat) - 0.0451018 + 0.0173244 (syst); -0.0510934/+0.0296057 (total) 
-   === Baseline plot === </br>
-   norm = 1712.99
-JEC     lnN   1.00275  -
-JER     lnN   1.01626  -
-btag    lnN   1.06714  -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt
deleted file mode 100644
index 0165633..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1859.61 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06919    -
-JER       lnN     1.01327   - 
-JEC       lnN     1.0047   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02353914841   -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/pdf.log
deleted file mode 100644
index aa6e6c7..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=15.5092 FROM MIGRAD    STATUS=CONVERGED      78 CALLS          79 TOTAL
-                     EDM=7.02832e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.26172e+01   1.73351e+00   2.72316e-03  -7.30163e-05
-   2  Mean         1.00012e+00   3.19011e-03   6.31280e-06   1.69814e-02
-   3  Sigma        2.35391e-02   3.03053e-03   7.58042e-05  -1.28772e-03
-1.00012141421 +/- 0.00319010963973
-0.0235391484052 +/- 0.00303053171895
-PDF lnN 1.02353914841
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/signal650_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/signal650_sig.log
deleted file mode 100644
index 1f5e75e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_crystal_1_285_624/signal650_sig.log
+++ /dev/null
@@ -1,883 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13508.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.87056e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.46321e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.56470e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.42658e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.11139e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM MIGRAD    STATUS=CONVERGED     597 CALLS         598 TOTAL
-                     EDM=4.72558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.31550e+02   1.07438e+00   1.68730e-03  -2.23582e-01
-   2  sg_p1        3.53137e+01   1.11870e+00   4.47963e-03   6.27366e-02
-   3  sg_p2        5.77635e+02   4.62466e+01   1.24400e-02   1.02159e-02
-   4  sg_p3        6.47572e+01   2.35273e+01   1.70525e-02  -3.15130e-03
-   5  sg_p4        9.66896e-01   3.39852e-02   6.34455e-03  -3.92355e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.155e+00 -4.604e-01 -1.111e+01  1.243e+01 -1.676e-02 
- -4.604e-01  1.255e+00  2.645e+01 -9.584e+00  2.747e-02 
- -1.111e+01  2.645e+01  2.484e+03  4.016e+02  1.548e+00 
-  1.243e+01 -9.584e+00  4.016e+02  5.848e+02 -3.604e-02 
- -1.676e-02  2.747e-02  1.548e+00 -3.604e-02  1.209e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66627   1.000 -0.382 -0.207  0.478 -0.449
-        2  0.79846  -0.382  1.000  0.474 -0.354  0.705
-        3  0.96990  -0.207  0.474  1.000  0.333  0.893
-        4  0.84189   0.478 -0.354  0.333  1.000 -0.043
-        5  0.97425  -0.449  0.705  0.893 -0.043  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM HESSE     STATUS=OK             31 CALLS         629 TOTAL
-                     EDM=4.61535e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.31550e+02   1.06668e+00   3.37461e-04   6.31053e-01
-   2  sg_p1        3.53137e+01   1.12240e+00   1.79185e-04   7.98026e-01
-   3  sg_p2        5.77635e+02   4.57102e+01   2.48799e-03   3.10645e+00
-   4  sg_p3        6.47572e+01   2.27278e+01   6.82099e-04   3.22908e+00
-   5  sg_p4        9.66896e-01   3.40601e-02   1.26891e-03   8.93554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.138e+00 -4.570e-01 -1.213e+01  1.173e+01 -1.703e-02 
- -4.570e-01  1.264e+00  2.725e+01 -9.434e+00  2.793e-02 
- -1.213e+01  2.725e+01  2.417e+03  3.349e+02  1.539e+00 
-  1.173e+01 -9.434e+00  3.349e+02  5.436e+02 -5.744e-02 
- -1.703e-02  2.793e-02  1.539e+00 -5.744e-02  1.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66019   1.000 -0.381 -0.231  0.472 -0.458
-        2  0.79995  -0.381  1.000  0.493 -0.360  0.713
-        3  0.96905  -0.231  0.493  1.000  0.292  0.898
-        4  0.82847   0.472 -0.360  0.292  1.000 -0.071
-        5  0.97437  -0.458  0.713  0.898 -0.071  1.000
-650
-631.55 +- 1.06668
-35.3137 +- 1.1224
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13608.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -3.05846e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.60421e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -6.11096e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.92754e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.53615e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM MIGRAD    STATUS=CONVERGED     366 CALLS         367 TOTAL
-                     EDM=4.73777e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.34937e+02   1.20416e+00   1.88745e-03   1.06307e-02
-   2  sg_p1        3.54255e+01   1.33397e+00   4.75405e-03  -6.42739e-03
-   3  sg_p2        5.82190e+02   3.67116e+01   1.00364e-02   4.55135e-03
-   4  sg_p3        6.30056e+01   1.66588e+01   1.25710e-02   4.37361e-03
-   5  sg_p4        9.54564e-01   4.17481e-02   6.34242e-03   8.71212e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.451e+00 -7.734e-01 -1.793e+01 -1.063e+01 -3.042e-02 
- -7.734e-01  1.788e+00  3.000e+01  1.060e+01  4.484e-02 
- -1.793e+01  3.000e+01  1.473e+03 -4.482e+01  1.490e+00 
- -1.063e+01  1.060e+01 -4.482e+01  2.851e+02  1.993e-01 
- -3.042e-02  4.484e-02  1.490e+00  1.993e-01  1.838e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.72232   1.000 -0.480 -0.388 -0.523 -0.589
-        2  0.84648  -0.480  1.000  0.585  0.469  0.782
-        3  0.96726  -0.388  0.585  1.000 -0.069  0.905
-        4  0.81721  -0.523  0.469 -0.069  1.000  0.275
-        5  0.97806  -0.589  0.782  0.905  0.275  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM HESSE     STATUS=OK             31 CALLS         398 TOTAL
-                     EDM=4.49878e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.34937e+02   1.17331e+00   7.54981e-05   7.27855e-01
-   2  sg_p1        3.54255e+01   1.28807e+00   1.90162e-04   8.07781e-01
-   3  sg_p2        5.82190e+02   3.82291e+01   2.00727e-03   3.04558e+00
-   4  sg_p3        6.30056e+01   1.76697e+01   5.02840e-04  -1.16840e-01
-   5  sg_p4        9.54564e-01   4.07959e-02   2.53697e-04   7.71340e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.377e+00 -6.709e-01 -1.351e+01 -1.025e+01 -2.563e-02 
- -6.709e-01  1.666e+00  2.684e+01  9.073e+00  4.040e-02 
- -1.351e+01  2.684e+01  1.611e+03 -1.944e+02  1.503e+00 
- -1.025e+01  9.073e+00 -1.944e+02  3.218e+02  7.926e-02 
- -2.563e-02  4.040e-02  1.503e+00  7.926e-02  1.751e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.70445   1.000 -0.443 -0.287 -0.487 -0.522
-        2  0.83419  -0.443  1.000  0.518  0.392  0.748
-        3  0.97010  -0.287  0.518  1.000 -0.270  0.895
-        4  0.84000  -0.487  0.392 -0.270  1.000  0.106
-        5  0.97695  -0.522  0.748  0.895  0.106  1.000
-650
-634.937 +- 1.17331
-35.4255 +- 1.28807
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13336.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.61029e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.30706e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -4.94508e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -2.82439e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   1.69237e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.26189 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -3.9054e-01  1.0008e+00  1.0126e+00  1.3098e+00  2.0673e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.392608 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM MIGRAD    STATUS=CONVERGED     434 CALLS         435 TOTAL
-                     EDM=9.27116e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.29363e+02   1.94289e+00   1.61110e-03  -6.12714e-02
-   2  sg_p1        3.39915e+01   1.39941e+00   4.02767e-03   1.41131e-02
-   3  sg_p2        5.86998e+02   3.80498e+01   5.91384e-03   1.10012e-02
-   4  sg_p3        4.52433e+01   9.31868e+00   5.76920e-03   6.15069e-03
-   5  sg_p4        9.32822e-01   8.73169e-02   7.58377e-03  -1.49983e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.778e+00 -2.106e+00 -5.004e+01 -2.088e+00 -1.541e-01 
- -2.106e+00  1.966e+00  3.539e+01  6.357e-01  1.083e-01 
- -5.004e+01  3.539e+01  1.597e+03 -2.131e+02  3.640e+00 
- -2.088e+00  6.357e-01 -2.131e+02  8.769e+01 -2.781e-01 
- -1.541e-01  1.083e-01  3.640e+00 -2.781e-01  9.342e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91269   1.000 -0.773 -0.644 -0.115 -0.820
-        2  0.87908  -0.773  1.000  0.631  0.048  0.799
-        3  0.98973  -0.644  0.631  1.000 -0.569  0.942
-        4  0.89773  -0.115  0.048 -0.569  1.000 -0.307
-        5  0.99185  -0.820  0.799  0.942 -0.307  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM HESSE     STATUS=OK             31 CALLS         466 TOTAL
-                     EDM=1.05015e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.29363e+02   1.77740e+00   3.22219e-04   5.72091e-01
-   2  sg_p1        3.39915e+01   1.30671e+00   1.61107e-04   6.89109e-01
-   3  sg_p2        5.86998e+02   4.00071e+01   2.36554e-04   2.98093e+00
-   4  sg_p3        4.52433e+01   1.08302e+01   2.30768e-04  -4.25319e-01
-   5  sg_p4        9.32822e-01   8.54732e-02   1.51675e-03   5.84938e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.161e+00 -1.710e+00 -4.134e+01 -1.168e+00 -1.264e-01 
- -1.710e+00  1.714e+00  3.071e+01 -2.615e-01  9.187e-02 
- -4.134e+01  3.071e+01  1.786e+03 -3.269e+02  3.736e+00 
- -1.168e+00 -2.615e-01 -3.269e+02  1.189e+02 -4.766e-01 
- -1.264e-01  9.187e-02  3.736e+00 -4.766e-01  8.856e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.89467   1.000 -0.735 -0.550 -0.060 -0.756
-        2  0.85981  -0.735  1.000  0.555 -0.018  0.746
-        3  0.99083  -0.550  0.555  1.000 -0.709  0.939
-        4  0.92564  -0.060 -0.018 -0.709  1.000 -0.465
-        5  0.99140  -0.756  0.746  0.939 -0.465  1.000
-650
-629.363 +- 1.7774
-33.9915 +- 1.30671
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11100.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49976e+02   9.00000e+00   0.00000e+00  -3.31148e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.41635e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.52712e-01
-   4  sg_p3        4.45955e+01   1.20000e+01  -4.37204e-01  -1.45659e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.61763e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.42251e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.89844e-02   2.11173e-03** at limit **
-   2  sg_p1        2.19547e+01   6.26260e-01   1.90248e-03  -1.39894e-01
-   3  sg_p2        6.50000e+02   1.12485e+00   1.24593e-02** at limit **
-   4  sg_p3        5.35044e+01   7.53715e+00   5.15003e-03  -5.48748e-02
-   5  sg_p4        9.02474e-01   3.44307e-02   8.35217e-03   4.98005e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  1.398e-08 -1.474e-12 -5.092e-09  1.406e-10 
-  1.398e-08  3.924e-01  9.759e-05  2.732e+00  1.581e-02 
- -1.474e-12  9.759e-05  5.173e-05  1.252e-03  7.811e-06 
- -5.092e-09  2.732e+00  1.252e-03  5.713e+01  2.196e-01 
-  1.406e-10  1.581e-02  7.811e-06  2.196e-01  1.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00112   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72732   0.001  1.000  0.022  0.577  0.725
-        3  0.03176  -0.000  0.022  1.000  0.023  0.031
-        4  0.83627  -0.000  0.577  0.023  1.000  0.835
-        5  0.88688   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.36793e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.89845e-02   4.22346e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19547e+01   6.28139e-01   3.80496e-04  -9.37931e-02
-   3  sg_p2        6.50000e+02   1.12399e+00   2.49187e-03   1.57135e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.35044e+01   7.59176e+00   2.06001e-04  -2.78513e-01
-   5  sg_p4        9.02474e-01   3.46722e-02   1.67043e-03   3.57388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  2.583e-09 -7.268e-14 -1.074e-09  2.545e-11 
-  2.583e-09  3.948e-01  2.619e-05  2.775e+00  1.601e-02 
- -7.268e-14  2.619e-05  5.169e-05  3.372e-04  2.097e-06 
- -1.074e-09  2.775e+00  3.372e-04  5.797e+01  2.235e-01 
-  2.545e-11  1.601e-02  2.097e-06  2.235e-01  1.227e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72925   0.000  1.000  0.006  0.580  0.727
-        3  0.00847  -0.000  0.006  1.000  0.006  0.008
-        4  0.83884  -0.000  0.580  0.006  1.000  0.838
-        5  0.88859   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0189845
-21.9547 +- 0.628139
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10989.9 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49981e+02   9.00000e+00   0.00000e+00  -3.26253e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.05547e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00** at limit **
-   4  sg_p3        4.52220e+01   1.20000e+01  -4.25709e-01  -2.16544e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.30632e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=6.98216e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.75977e-02   2.02403e-03** at limit **
-   2  sg_p1        2.24968e+01   6.83255e-01   1.97163e-03  -2.42215e-01
-   3  sg_p2        6.50000e+02   1.00518e+00   1.16864e-02** at limit **
-   4  sg_p3        5.38609e+01   8.09997e+00   5.22641e-03  -7.25959e-02
-   5  sg_p4        9.04199e-01   3.73923e-02   8.57345e-03   6.68076e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  9.099e-09 -3.513e-14 -1.065e-10  1.081e-10 
-  9.099e-09  4.671e-01  8.095e-06  3.376e+00  1.946e-02 
- -3.513e-14  8.095e-06  3.071e-07  1.055e-04  6.207e-07 
- -1.065e-10  3.376e+00  1.055e-04  6.604e+01  2.615e-01 
-  1.081e-10  1.946e-02  6.207e-07  2.615e-01  1.433e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75475   0.001  1.000  0.021  0.608  0.752
-        3  0.02982  -0.000  0.021  1.000  0.023  0.030
-        4  0.85148  -0.000  0.608  0.023  1.000  0.850
-        5  0.90043   0.000  0.752  0.030  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM HESSE     STATUS=OK             31 CALLS         220 TOTAL
-                     EDM=6.97303e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.75977e-02   4.04806e-04   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.24968e+01   6.85707e-01   3.94326e-04  -6.08350e-02
-   3  sg_p2        6.50000e+02   1.00444e+00   2.33727e-03   1.57075e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38609e+01   8.16623e+00   2.09056e-04  -2.72339e-01
-   5  sg_p4        9.04199e-01   3.76884e-02   1.71469e-03   3.69689e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  1.898e-09 -1.580e-15 -1.792e-10  2.195e-11 
-  1.898e-09  4.705e-01  1.591e-06  3.436e+00  1.974e-02 
- -1.580e-15  1.591e-06  3.069e-07  2.082e-05  1.221e-07 
- -1.792e-10  3.436e+00  2.082e-05  6.714e+01  2.666e-01 
-  2.195e-11  1.974e-02  1.221e-07  2.666e-01  1.456e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00025   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75678   0.000  1.000  0.004  0.611  0.754
-        3  0.00582  -0.000  0.004  1.000  0.005  0.006
-        4  0.85409  -0.000  0.611  0.005  1.000  0.853
-        5  0.90212   0.000  0.754  0.006  0.853  1.000
-650
-650 +- 0.0175977
-22.4968 +- 0.685707
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11116.3 FROM MIGRAD    STATUS=INITIATE       85 CALLS          86 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49937e+02   9.00000e+00   0.00000e+00  -4.29903e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.78823e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00   1.70769e-01
-   4  sg_p3        4.20694e+01   1.20000e+01  -4.84211e-01   8.96725e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.70161e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=6.95645e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.30525e-02   2.32852e-03** at limit **
-   2  sg_p1        2.06141e+01   7.27095e-01   1.91751e-03  -1.78455e-02
-   3  sg_p2        6.50000e+02   5.67699e-01   8.96583e-03** at limit **
-   4  sg_p3        4.38408e+01   4.74866e+00   3.33807e-03   1.68221e-02
-   5  sg_p4        8.43914e-01   5.09939e-02   1.01808e-02   4.65599e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  1.526e-08 -3.653e-13 -1.193e-07 -8.752e-10 
-  1.526e-08  5.290e-01  4.594e-06  2.209e+00  3.042e-02 
- -3.653e-13  4.594e-06  1.090e-07  2.852e-05  4.142e-07 
- -1.193e-07  2.209e+00  2.852e-05  2.261e+01  2.103e-01 
- -8.752e-10  3.042e-02  4.142e-07  2.103e-01  2.707e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00135   1.000  0.000 -0.000 -0.001 -0.000
-        2  0.80823   0.000  1.000  0.019  0.639  0.804
-        3  0.02454  -0.000  0.019  1.000  0.018  0.024
-        4  0.85317  -0.001  0.639  0.018  1.000  0.850
-        5  0.91509  -0.000  0.804  0.024  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=6.98393e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.30527e-02   4.65704e-04   1.57083e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.06141e+01   7.25563e-01   7.67004e-05  -1.75808e-01
-   3  sg_p2        6.50000e+02   5.67438e-01   1.79317e-03   1.57076e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        4.38408e+01   4.74709e+00   1.33523e-04  -4.51134e-01
-   5  sg_p4        8.43914e-01   5.09413e-02   4.07231e-04  -4.05850e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  3.367e-09 -1.567e-14 -2.669e-08 -1.963e-10 
-  3.367e-09  5.268e-01  8.847e-07  2.198e+00  3.029e-02 
- -1.567e-14  8.847e-07  1.089e-07  5.498e-06  7.992e-08 
- -2.669e-08  2.198e+00  5.498e-06  2.259e+01  2.099e-01 
- -1.963e-10  3.029e-02  7.992e-08  2.099e-01  2.702e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00030   1.000  0.000 -0.000 -0.000 -0.000
-        2  0.80732   0.000  1.000  0.004  0.637  0.803
-        3  0.00474  -0.000  0.004  1.000  0.004  0.005
-        4  0.85306  -0.000  0.637  0.004  1.000  0.850
-        5  0.91490  -0.000  0.803  0.005  0.850  1.000
-650
-650 +- 0.0230527
-20.6141 +- 0.725563
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10944.8 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49942e+02   9.00000e+00   0.00000e+00  -4.99582e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.21408e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.15963e-01
-   4  sg_p3        4.09782e+01   1.20000e+01  -5.04874e-01  -3.48354e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -7.37019e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.73549e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.97234e-02   2.13705e-03** at limit **
-   2  sg_p1        2.20280e+01   6.30629e-01   1.91154e-03   1.91770e-02
-   3  sg_p2        6.50000e+02   1.15642e+00   1.26706e-02** at limit **
-   4  sg_p3        5.38442e+01   7.62585e+00   5.23371e-03  -3.81562e-02
-   5  sg_p4        9.01968e-01   3.44467e-02   8.30135e-03   1.18530e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  5.762e-08 -8.280e-13 -3.348e-08  5.240e-10 
-  5.762e-08  3.979e-01  1.192e-05  2.762e+00  1.584e-02 
- -8.280e-13  1.192e-05  8.864e-07  1.536e-04  9.534e-07 
- -3.348e-08  2.762e+00  1.536e-04  5.849e+01  2.220e-01 
-  5.240e-10  1.584e-02  9.534e-07  2.220e-01  1.211e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00104   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72341   0.001  1.000  0.020  0.573  0.721
-        3  0.02963  -0.000  0.020  1.000  0.021  0.029
-        4  0.83506  -0.000  0.573  0.021  1.000  0.834
-        5  0.88553   0.000  0.721  0.029  0.834  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM HESSE     STATUS=OK             31 CALLS         231 TOTAL
-                     EDM=1.74019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.97235e-02   4.27410e-04   1.57071e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.20280e+01   6.32975e-01   7.64616e-05  -8.93298e-02
-   3  sg_p2        6.50000e+02   1.15565e+00   2.53411e-03   1.57087e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38442e+01   7.69157e+00   2.09349e-04  -2.72628e-01
-   5  sg_p4        9.01968e-01   3.47361e-02   3.32054e-04   3.53784e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  7.480e-09 -2.394e-14 -4.978e-09  6.545e-11 
-  7.480e-09  4.009e-01  2.527e-06  2.817e+00  1.609e-02 
- -2.394e-14  2.527e-06  8.858e-07  3.272e-05  2.022e-07 
- -4.978e-09  2.817e+00  3.272e-05  5.951e+01  2.267e-01 
-  6.545e-11  1.609e-02  2.022e-07  2.267e-01  1.232e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00014   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72585   0.000  1.000  0.004  0.577  0.724
-        3  0.00624  -0.000  0.004  1.000  0.005  0.006
-        4  0.83815  -0.000  0.577  0.005  1.000  0.837
-        5  0.88759   0.000  0.724  0.006  0.837  1.000
-650
-650 +- 0.0197235
-22.028 +- 0.632975
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11266.8 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49945e+02   9.00000e+00   0.00000e+00  -5.09816e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.59572e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00  -1.69501e-01
-   4  sg_p3        4.29297e+01   1.20000e+01  -4.68077e-01  -5.58269e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.53081e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM MIGRAD    STATUS=CONVERGED     192 CALLS         193 TOTAL
-                     EDM=6.51945e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.82842e-02   2.08842e-03** at limit **
-   2  sg_p1        2.14609e+01   6.40975e-01   1.89354e-03  -6.53789e-02
-   3  sg_p2        6.50000e+02   8.30067e-01   1.08933e-02** at limit **
-   4  sg_p3        5.04392e+01   6.38127e+00   4.50073e-03  -1.04974e-02
-   5  sg_p4        8.87574e-01   3.78194e-02   8.69382e-03   5.77855e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  7.879e-10 -3.359e-14 -1.419e-09  2.261e-12 
-  7.879e-10  4.111e-01  2.684e-05  2.430e+00  1.837e-02 
- -3.359e-14  2.684e-05  4.386e-06  2.767e-04  2.208e-06 
- -1.419e-09  2.430e+00  2.767e-04  4.089e+01  2.045e-01 
-  2.261e-12  1.837e-02  2.208e-06  2.045e-01  1.464e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75133   0.001  1.000  0.020  0.593  0.749
-        3  0.02792  -0.000  0.020  1.000  0.021  0.028
-        4  0.83716  -0.000  0.593  0.021  1.000  0.836
-        5  0.89303   0.000  0.749  0.028  0.836  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM HESSE     STATUS=OK             31 CALLS         224 TOTAL
-                     EDM=6.57565e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.82843e-02   4.17684e-04   1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.14609e+01   6.41983e-01   3.78708e-04  -1.23899e-01
-   3  sg_p2        6.50000e+02   8.29559e-01   2.17866e-03   1.57098e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.04392e+01   6.41541e+00   1.80029e-04  -3.32084e-01
-   5  sg_p4        8.87574e-01   3.80027e-02   3.47753e-04   2.53193e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  1.574e-10 -1.584e-15 -3.026e-10  3.527e-13 
-  1.574e-10  4.124e-01  6.128e-06  2.455e+00  1.851e-02 
- -1.584e-15  6.128e-06  4.383e-06  6.343e-05  5.049e-07 
- -3.026e-10  2.455e+00  6.343e-05  4.133e+01  2.070e-01 
-  3.527e-13  1.851e-02  5.049e-07  2.070e-01  1.478e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00024   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75224   0.000  1.000  0.005  0.595  0.750
-        3  0.00636  -0.000  0.005  1.000  0.005  0.006
-        4  0.83906  -0.000  0.595  0.005  1.000  0.838
-        5  0.89415   0.000  0.750  0.006  0.838  1.000
-650
-650 +- 0.0182843
-21.4609 +- 0.641983
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10353.9 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49972e+02   9.00000e+00   0.00000e+00  -3.38302e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.33664e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.20039e-01
-   4  sg_p3        4.45271e+01   1.20000e+01  -4.38463e-01  -2.07423e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.51988e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=3.70488e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.03479e-02   2.11149e-03** at limit **
-   2  sg_p1        2.19227e+01   6.48242e-01   1.90022e-03  -1.27252e-01
-   3  sg_p2        6.50000e+02   1.19398e+00   1.24007e-02** at limit **
-   4  sg_p3        5.33695e+01   7.75365e+00   5.12507e-03  -4.78312e-02
-   5  sg_p4        9.02088e-01   3.57133e-02   8.36019e-03   4.34979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.014e-08 -1.058e-12 -4.315e-09  9.944e-11 
-  1.014e-08  4.204e-01  1.012e-04  2.912e+00  1.700e-02 
- -1.058e-12  1.012e-04  5.221e-05  1.288e-03  8.107e-06 
- -4.315e-09  2.912e+00  1.288e-03  6.049e+01  2.345e-01 
-  9.944e-11  1.700e-02  8.107e-06  2.345e-01  1.304e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72806   0.001  1.000  0.022  0.577  0.726
-        3  0.03161  -0.000  0.022  1.000  0.023  0.031
-        4  0.83617  -0.000  0.577  0.023  1.000  0.835
-        5  0.88699   0.000  0.726  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=3.65925e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.03480e-02   4.22297e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19227e+01   6.50158e-01   3.80043e-04  -9.57392e-02
-   3  sg_p2        6.50000e+02   1.19307e+00   2.48014e-03   1.57134e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.33695e+01   7.80905e+00   2.05003e-04  -2.80852e-01
-   5  sg_p4        9.02088e-01   3.59600e-02   1.67204e-03   3.54640e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.922e-09 -5.339e-14 -9.335e-10  1.841e-11 
-  1.922e-09  4.229e-01  2.702e-05  2.958e+00  1.722e-02 
- -5.339e-14  2.702e-05  5.217e-05  3.453e-04  2.166e-06 
- -9.335e-10  2.958e+00  3.453e-04  6.136e+01  2.386e-01 
-  1.841e-11  1.722e-02  2.166e-06  2.386e-01  1.322e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00022   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72996   0.000  1.000  0.006  0.581  0.728
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83871  -0.000  0.581  0.006  1.000  0.838
-        5  0.88867   0.000  0.728  0.008  0.838  1.000
-650
-650 +- 0.020348
-21.9227 +- 0.650158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11888.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49914e+02   9.00000e+00   0.00000e+00  -6.82601e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.48309e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.99059e-01
-   4  sg_p3        4.46355e+01   1.20000e+01  -4.36469e-01  -2.16258e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.69494e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.23148e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.77338e-02   2.11221e-03** at limit **
-   2  sg_p1        2.19855e+01   6.05458e-01   1.90519e-03  -1.38620e-01
-   3  sg_p2        6.50000e+02   1.06015e+00   1.25262e-02** at limit **
-   4  sg_p3        5.36334e+01   7.33056e+00   5.16765e-03  -5.62178e-02
-   5  sg_p4        9.02830e-01   3.32252e-02   8.34638e-03   5.03701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  1.247e-08 -1.236e-12 -3.833e-09  1.281e-10 
-  1.247e-08  3.667e-01  8.771e-05  2.567e+00  1.472e-02 
- -1.236e-12  8.771e-05  4.483e-05  1.134e-03  7.012e-06 
- -3.833e-09  2.567e+00  1.134e-03  5.403e+01  2.060e-01 
-  1.281e-10  1.472e-02  7.012e-06  2.060e-01  1.125e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72667   0.001  1.000  0.022  0.577  0.725
-        3  0.03177  -0.000  0.022  1.000  0.023  0.031
-        4  0.83644  -0.000  0.577  0.023  1.000  0.835
-        5  0.88683   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.17857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.77339e-02   4.22443e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19855e+01   6.07305e-01   3.81037e-04  -9.19155e-02
-   3  sg_p2        6.50000e+02   1.05933e+00   2.50525e-03   1.57133e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.36334e+01   7.38443e+00   2.06706e-04  -2.76278e-01
-   5  sg_p4        9.02830e-01   3.34620e-02   1.66928e-03   3.59921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  2.310e-09 -6.277e-14 -8.650e-10  2.316e-11 
-  2.310e-09  3.690e-01  2.329e-05  2.608e+00  1.491e-02 
- -6.277e-14  2.329e-05  4.479e-05  3.022e-04  1.863e-06 
- -8.650e-10  2.608e+00  3.022e-04  5.483e+01  2.097e-01 
-  2.316e-11  1.491e-02  1.863e-06  2.097e-01  1.142e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72864   0.000  1.000  0.006  0.580  0.727
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83905  -0.000  0.580  0.006  1.000  0.838
-        5  0.88856   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0177339
-21.9855 +- 0.607305
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 17 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 18 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 20 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 21 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 22 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 26 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 35 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 41 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 650 +- 0.0189845 (stat) - 1.56965e-07 + 8.69034e-09 (syst); -0.00949226/+0.00949226 (total)
-   Uncertainty on sg_p1 = 21.9547 +- 0.628139 (stat) - 1.34059 + 0.54216 (syst); -1.37689/+0.62656 (total)
-   Uncertainty on sg_p2 = 650 +- 1.12399 (stat) - 0 + 1.14208e-05 (syst); -0.561993/+0.561993 (total)
-   Uncertainty on sg_p3 = 53.5044 +- 7.59176 (stat) - 9.66364 + 0.356475 (syst); -10.3824/+3.81258 (total)
-   Uncertainty on sg_p4 = 0.902474 +- 0.0346722 (stat) - 0.0585604 + 0.00172451 (syst); -0.0610726/+0.0174217 (total) 
-   === Baseline plot === </br>
-   norm = 1859.61
-JEC     lnN   1.0047  -
-JER     lnN   1.01327  -
-btag    lnN   1.06919  -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt
deleted file mode 100644
index 820050a..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1859.61 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06919    -
-JER       lnN     1.01327   - 
-JEC       lnN     1.0047   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02353914841   -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/pdf.log
deleted file mode 100644
index aa6e6c7..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=15.5092 FROM MIGRAD    STATUS=CONVERGED      78 CALLS          79 TOTAL
-                     EDM=7.02832e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.26172e+01   1.73351e+00   2.72316e-03  -7.30163e-05
-   2  Mean         1.00012e+00   3.19011e-03   6.31280e-06   1.69814e-02
-   3  Sigma        2.35391e-02   3.03053e-03   7.58042e-05  -1.28772e-03
-1.00012141421 +/- 0.00319010963973
-0.0235391484052 +/- 0.00303053171895
-PDF lnN 1.02353914841
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/signal650_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/signal650_sig.log
deleted file mode 100644
index 1f5e75e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/3GeV/LMR_650_novo_285_624/signal650_sig.log
+++ /dev/null
@@ -1,883 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13508.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.87056e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.46321e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.56470e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.42658e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.11139e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM MIGRAD    STATUS=CONVERGED     597 CALLS         598 TOTAL
-                     EDM=4.72558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.31550e+02   1.07438e+00   1.68730e-03  -2.23582e-01
-   2  sg_p1        3.53137e+01   1.11870e+00   4.47963e-03   6.27366e-02
-   3  sg_p2        5.77635e+02   4.62466e+01   1.24400e-02   1.02159e-02
-   4  sg_p3        6.47572e+01   2.35273e+01   1.70525e-02  -3.15130e-03
-   5  sg_p4        9.66896e-01   3.39852e-02   6.34455e-03  -3.92355e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.155e+00 -4.604e-01 -1.111e+01  1.243e+01 -1.676e-02 
- -4.604e-01  1.255e+00  2.645e+01 -9.584e+00  2.747e-02 
- -1.111e+01  2.645e+01  2.484e+03  4.016e+02  1.548e+00 
-  1.243e+01 -9.584e+00  4.016e+02  5.848e+02 -3.604e-02 
- -1.676e-02  2.747e-02  1.548e+00 -3.604e-02  1.209e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66627   1.000 -0.382 -0.207  0.478 -0.449
-        2  0.79846  -0.382  1.000  0.474 -0.354  0.705
-        3  0.96990  -0.207  0.474  1.000  0.333  0.893
-        4  0.84189   0.478 -0.354  0.333  1.000 -0.043
-        5  0.97425  -0.449  0.705  0.893 -0.043  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM HESSE     STATUS=OK             31 CALLS         629 TOTAL
-                     EDM=4.61535e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.31550e+02   1.06668e+00   3.37461e-04   6.31053e-01
-   2  sg_p1        3.53137e+01   1.12240e+00   1.79185e-04   7.98026e-01
-   3  sg_p2        5.77635e+02   4.57102e+01   2.48799e-03   3.10645e+00
-   4  sg_p3        6.47572e+01   2.27278e+01   6.82099e-04   3.22908e+00
-   5  sg_p4        9.66896e-01   3.40601e-02   1.26891e-03   8.93554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.138e+00 -4.570e-01 -1.213e+01  1.173e+01 -1.703e-02 
- -4.570e-01  1.264e+00  2.725e+01 -9.434e+00  2.793e-02 
- -1.213e+01  2.725e+01  2.417e+03  3.349e+02  1.539e+00 
-  1.173e+01 -9.434e+00  3.349e+02  5.436e+02 -5.744e-02 
- -1.703e-02  2.793e-02  1.539e+00 -5.744e-02  1.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66019   1.000 -0.381 -0.231  0.472 -0.458
-        2  0.79995  -0.381  1.000  0.493 -0.360  0.713
-        3  0.96905  -0.231  0.493  1.000  0.292  0.898
-        4  0.82847   0.472 -0.360  0.292  1.000 -0.071
-        5  0.97437  -0.458  0.713  0.898 -0.071  1.000
-650
-631.55 +- 1.06668
-35.3137 +- 1.1224
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13608.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -3.05846e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.60421e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -6.11096e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.92754e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.53615e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM MIGRAD    STATUS=CONVERGED     366 CALLS         367 TOTAL
-                     EDM=4.73777e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.34937e+02   1.20416e+00   1.88745e-03   1.06307e-02
-   2  sg_p1        3.54255e+01   1.33397e+00   4.75405e-03  -6.42739e-03
-   3  sg_p2        5.82190e+02   3.67116e+01   1.00364e-02   4.55135e-03
-   4  sg_p3        6.30056e+01   1.66588e+01   1.25710e-02   4.37361e-03
-   5  sg_p4        9.54564e-01   4.17481e-02   6.34242e-03   8.71212e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.451e+00 -7.734e-01 -1.793e+01 -1.063e+01 -3.042e-02 
- -7.734e-01  1.788e+00  3.000e+01  1.060e+01  4.484e-02 
- -1.793e+01  3.000e+01  1.473e+03 -4.482e+01  1.490e+00 
- -1.063e+01  1.060e+01 -4.482e+01  2.851e+02  1.993e-01 
- -3.042e-02  4.484e-02  1.490e+00  1.993e-01  1.838e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.72232   1.000 -0.480 -0.388 -0.523 -0.589
-        2  0.84648  -0.480  1.000  0.585  0.469  0.782
-        3  0.96726  -0.388  0.585  1.000 -0.069  0.905
-        4  0.81721  -0.523  0.469 -0.069  1.000  0.275
-        5  0.97806  -0.589  0.782  0.905  0.275  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM HESSE     STATUS=OK             31 CALLS         398 TOTAL
-                     EDM=4.49878e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.34937e+02   1.17331e+00   7.54981e-05   7.27855e-01
-   2  sg_p1        3.54255e+01   1.28807e+00   1.90162e-04   8.07781e-01
-   3  sg_p2        5.82190e+02   3.82291e+01   2.00727e-03   3.04558e+00
-   4  sg_p3        6.30056e+01   1.76697e+01   5.02840e-04  -1.16840e-01
-   5  sg_p4        9.54564e-01   4.07959e-02   2.53697e-04   7.71340e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.377e+00 -6.709e-01 -1.351e+01 -1.025e+01 -2.563e-02 
- -6.709e-01  1.666e+00  2.684e+01  9.073e+00  4.040e-02 
- -1.351e+01  2.684e+01  1.611e+03 -1.944e+02  1.503e+00 
- -1.025e+01  9.073e+00 -1.944e+02  3.218e+02  7.926e-02 
- -2.563e-02  4.040e-02  1.503e+00  7.926e-02  1.751e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.70445   1.000 -0.443 -0.287 -0.487 -0.522
-        2  0.83419  -0.443  1.000  0.518  0.392  0.748
-        3  0.97010  -0.287  0.518  1.000 -0.270  0.895
-        4  0.84000  -0.487  0.392 -0.270  1.000  0.106
-        5  0.97695  -0.522  0.748  0.895  0.106  1.000
-650
-634.937 +- 1.17331
-35.4255 +- 1.28807
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13336.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.61029e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.30706e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -4.94508e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -2.82439e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   1.69237e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.26189 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -3.9054e-01  1.0008e+00  1.0126e+00  1.3098e+00  2.0673e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.392608 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM MIGRAD    STATUS=CONVERGED     434 CALLS         435 TOTAL
-                     EDM=9.27116e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.29363e+02   1.94289e+00   1.61110e-03  -6.12714e-02
-   2  sg_p1        3.39915e+01   1.39941e+00   4.02767e-03   1.41131e-02
-   3  sg_p2        5.86998e+02   3.80498e+01   5.91384e-03   1.10012e-02
-   4  sg_p3        4.52433e+01   9.31868e+00   5.76920e-03   6.15069e-03
-   5  sg_p4        9.32822e-01   8.73169e-02   7.58377e-03  -1.49983e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.778e+00 -2.106e+00 -5.004e+01 -2.088e+00 -1.541e-01 
- -2.106e+00  1.966e+00  3.539e+01  6.357e-01  1.083e-01 
- -5.004e+01  3.539e+01  1.597e+03 -2.131e+02  3.640e+00 
- -2.088e+00  6.357e-01 -2.131e+02  8.769e+01 -2.781e-01 
- -1.541e-01  1.083e-01  3.640e+00 -2.781e-01  9.342e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91269   1.000 -0.773 -0.644 -0.115 -0.820
-        2  0.87908  -0.773  1.000  0.631  0.048  0.799
-        3  0.98973  -0.644  0.631  1.000 -0.569  0.942
-        4  0.89773  -0.115  0.048 -0.569  1.000 -0.307
-        5  0.99185  -0.820  0.799  0.942 -0.307  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM HESSE     STATUS=OK             31 CALLS         466 TOTAL
-                     EDM=1.05015e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.29363e+02   1.77740e+00   3.22219e-04   5.72091e-01
-   2  sg_p1        3.39915e+01   1.30671e+00   1.61107e-04   6.89109e-01
-   3  sg_p2        5.86998e+02   4.00071e+01   2.36554e-04   2.98093e+00
-   4  sg_p3        4.52433e+01   1.08302e+01   2.30768e-04  -4.25319e-01
-   5  sg_p4        9.32822e-01   8.54732e-02   1.51675e-03   5.84938e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.161e+00 -1.710e+00 -4.134e+01 -1.168e+00 -1.264e-01 
- -1.710e+00  1.714e+00  3.071e+01 -2.615e-01  9.187e-02 
- -4.134e+01  3.071e+01  1.786e+03 -3.269e+02  3.736e+00 
- -1.168e+00 -2.615e-01 -3.269e+02  1.189e+02 -4.766e-01 
- -1.264e-01  9.187e-02  3.736e+00 -4.766e-01  8.856e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.89467   1.000 -0.735 -0.550 -0.060 -0.756
-        2  0.85981  -0.735  1.000  0.555 -0.018  0.746
-        3  0.99083  -0.550  0.555  1.000 -0.709  0.939
-        4  0.92564  -0.060 -0.018 -0.709  1.000 -0.465
-        5  0.99140  -0.756  0.746  0.939 -0.465  1.000
-650
-629.363 +- 1.7774
-33.9915 +- 1.30671
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11100.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49976e+02   9.00000e+00   0.00000e+00  -3.31148e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.41635e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.52712e-01
-   4  sg_p3        4.45955e+01   1.20000e+01  -4.37204e-01  -1.45659e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.61763e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.42251e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.89844e-02   2.11173e-03** at limit **
-   2  sg_p1        2.19547e+01   6.26260e-01   1.90248e-03  -1.39894e-01
-   3  sg_p2        6.50000e+02   1.12485e+00   1.24593e-02** at limit **
-   4  sg_p3        5.35044e+01   7.53715e+00   5.15003e-03  -5.48748e-02
-   5  sg_p4        9.02474e-01   3.44307e-02   8.35217e-03   4.98005e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  1.398e-08 -1.474e-12 -5.092e-09  1.406e-10 
-  1.398e-08  3.924e-01  9.759e-05  2.732e+00  1.581e-02 
- -1.474e-12  9.759e-05  5.173e-05  1.252e-03  7.811e-06 
- -5.092e-09  2.732e+00  1.252e-03  5.713e+01  2.196e-01 
-  1.406e-10  1.581e-02  7.811e-06  2.196e-01  1.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00112   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72732   0.001  1.000  0.022  0.577  0.725
-        3  0.03176  -0.000  0.022  1.000  0.023  0.031
-        4  0.83627  -0.000  0.577  0.023  1.000  0.835
-        5  0.88688   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.36793e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.89845e-02   4.22346e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19547e+01   6.28139e-01   3.80496e-04  -9.37931e-02
-   3  sg_p2        6.50000e+02   1.12399e+00   2.49187e-03   1.57135e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.35044e+01   7.59176e+00   2.06001e-04  -2.78513e-01
-   5  sg_p4        9.02474e-01   3.46722e-02   1.67043e-03   3.57388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  2.583e-09 -7.268e-14 -1.074e-09  2.545e-11 
-  2.583e-09  3.948e-01  2.619e-05  2.775e+00  1.601e-02 
- -7.268e-14  2.619e-05  5.169e-05  3.372e-04  2.097e-06 
- -1.074e-09  2.775e+00  3.372e-04  5.797e+01  2.235e-01 
-  2.545e-11  1.601e-02  2.097e-06  2.235e-01  1.227e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72925   0.000  1.000  0.006  0.580  0.727
-        3  0.00847  -0.000  0.006  1.000  0.006  0.008
-        4  0.83884  -0.000  0.580  0.006  1.000  0.838
-        5  0.88859   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0189845
-21.9547 +- 0.628139
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10989.9 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49981e+02   9.00000e+00   0.00000e+00  -3.26253e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.05547e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00** at limit **
-   4  sg_p3        4.52220e+01   1.20000e+01  -4.25709e-01  -2.16544e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.30632e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=6.98216e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.75977e-02   2.02403e-03** at limit **
-   2  sg_p1        2.24968e+01   6.83255e-01   1.97163e-03  -2.42215e-01
-   3  sg_p2        6.50000e+02   1.00518e+00   1.16864e-02** at limit **
-   4  sg_p3        5.38609e+01   8.09997e+00   5.22641e-03  -7.25959e-02
-   5  sg_p4        9.04199e-01   3.73923e-02   8.57345e-03   6.68076e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  9.099e-09 -3.513e-14 -1.065e-10  1.081e-10 
-  9.099e-09  4.671e-01  8.095e-06  3.376e+00  1.946e-02 
- -3.513e-14  8.095e-06  3.071e-07  1.055e-04  6.207e-07 
- -1.065e-10  3.376e+00  1.055e-04  6.604e+01  2.615e-01 
-  1.081e-10  1.946e-02  6.207e-07  2.615e-01  1.433e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75475   0.001  1.000  0.021  0.608  0.752
-        3  0.02982  -0.000  0.021  1.000  0.023  0.030
-        4  0.85148  -0.000  0.608  0.023  1.000  0.850
-        5  0.90043   0.000  0.752  0.030  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM HESSE     STATUS=OK             31 CALLS         220 TOTAL
-                     EDM=6.97303e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.75977e-02   4.04806e-04   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.24968e+01   6.85707e-01   3.94326e-04  -6.08350e-02
-   3  sg_p2        6.50000e+02   1.00444e+00   2.33727e-03   1.57075e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38609e+01   8.16623e+00   2.09056e-04  -2.72339e-01
-   5  sg_p4        9.04199e-01   3.76884e-02   1.71469e-03   3.69689e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  1.898e-09 -1.580e-15 -1.792e-10  2.195e-11 
-  1.898e-09  4.705e-01  1.591e-06  3.436e+00  1.974e-02 
- -1.580e-15  1.591e-06  3.069e-07  2.082e-05  1.221e-07 
- -1.792e-10  3.436e+00  2.082e-05  6.714e+01  2.666e-01 
-  2.195e-11  1.974e-02  1.221e-07  2.666e-01  1.456e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00025   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75678   0.000  1.000  0.004  0.611  0.754
-        3  0.00582  -0.000  0.004  1.000  0.005  0.006
-        4  0.85409  -0.000  0.611  0.005  1.000  0.853
-        5  0.90212   0.000  0.754  0.006  0.853  1.000
-650
-650 +- 0.0175977
-22.4968 +- 0.685707
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11116.3 FROM MIGRAD    STATUS=INITIATE       85 CALLS          86 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49937e+02   9.00000e+00   0.00000e+00  -4.29903e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.78823e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00   1.70769e-01
-   4  sg_p3        4.20694e+01   1.20000e+01  -4.84211e-01   8.96725e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.70161e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=6.95645e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.30525e-02   2.32852e-03** at limit **
-   2  sg_p1        2.06141e+01   7.27095e-01   1.91751e-03  -1.78455e-02
-   3  sg_p2        6.50000e+02   5.67699e-01   8.96583e-03** at limit **
-   4  sg_p3        4.38408e+01   4.74866e+00   3.33807e-03   1.68221e-02
-   5  sg_p4        8.43914e-01   5.09939e-02   1.01808e-02   4.65599e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  1.526e-08 -3.653e-13 -1.193e-07 -8.752e-10 
-  1.526e-08  5.290e-01  4.594e-06  2.209e+00  3.042e-02 
- -3.653e-13  4.594e-06  1.090e-07  2.852e-05  4.142e-07 
- -1.193e-07  2.209e+00  2.852e-05  2.261e+01  2.103e-01 
- -8.752e-10  3.042e-02  4.142e-07  2.103e-01  2.707e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00135   1.000  0.000 -0.000 -0.001 -0.000
-        2  0.80823   0.000  1.000  0.019  0.639  0.804
-        3  0.02454  -0.000  0.019  1.000  0.018  0.024
-        4  0.85317  -0.001  0.639  0.018  1.000  0.850
-        5  0.91509  -0.000  0.804  0.024  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=6.98393e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.30527e-02   4.65704e-04   1.57083e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.06141e+01   7.25563e-01   7.67004e-05  -1.75808e-01
-   3  sg_p2        6.50000e+02   5.67438e-01   1.79317e-03   1.57076e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        4.38408e+01   4.74709e+00   1.33523e-04  -4.51134e-01
-   5  sg_p4        8.43914e-01   5.09413e-02   4.07231e-04  -4.05850e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  3.367e-09 -1.567e-14 -2.669e-08 -1.963e-10 
-  3.367e-09  5.268e-01  8.847e-07  2.198e+00  3.029e-02 
- -1.567e-14  8.847e-07  1.089e-07  5.498e-06  7.992e-08 
- -2.669e-08  2.198e+00  5.498e-06  2.259e+01  2.099e-01 
- -1.963e-10  3.029e-02  7.992e-08  2.099e-01  2.702e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00030   1.000  0.000 -0.000 -0.000 -0.000
-        2  0.80732   0.000  1.000  0.004  0.637  0.803
-        3  0.00474  -0.000  0.004  1.000  0.004  0.005
-        4  0.85306  -0.000  0.637  0.004  1.000  0.850
-        5  0.91490  -0.000  0.803  0.005  0.850  1.000
-650
-650 +- 0.0230527
-20.6141 +- 0.725563
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10944.8 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49942e+02   9.00000e+00   0.00000e+00  -4.99582e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.21408e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.15963e-01
-   4  sg_p3        4.09782e+01   1.20000e+01  -5.04874e-01  -3.48354e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -7.37019e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.73549e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.97234e-02   2.13705e-03** at limit **
-   2  sg_p1        2.20280e+01   6.30629e-01   1.91154e-03   1.91770e-02
-   3  sg_p2        6.50000e+02   1.15642e+00   1.26706e-02** at limit **
-   4  sg_p3        5.38442e+01   7.62585e+00   5.23371e-03  -3.81562e-02
-   5  sg_p4        9.01968e-01   3.44467e-02   8.30135e-03   1.18530e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  5.762e-08 -8.280e-13 -3.348e-08  5.240e-10 
-  5.762e-08  3.979e-01  1.192e-05  2.762e+00  1.584e-02 
- -8.280e-13  1.192e-05  8.864e-07  1.536e-04  9.534e-07 
- -3.348e-08  2.762e+00  1.536e-04  5.849e+01  2.220e-01 
-  5.240e-10  1.584e-02  9.534e-07  2.220e-01  1.211e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00104   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72341   0.001  1.000  0.020  0.573  0.721
-        3  0.02963  -0.000  0.020  1.000  0.021  0.029
-        4  0.83506  -0.000  0.573  0.021  1.000  0.834
-        5  0.88553   0.000  0.721  0.029  0.834  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM HESSE     STATUS=OK             31 CALLS         231 TOTAL
-                     EDM=1.74019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.97235e-02   4.27410e-04   1.57071e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.20280e+01   6.32975e-01   7.64616e-05  -8.93298e-02
-   3  sg_p2        6.50000e+02   1.15565e+00   2.53411e-03   1.57087e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38442e+01   7.69157e+00   2.09349e-04  -2.72628e-01
-   5  sg_p4        9.01968e-01   3.47361e-02   3.32054e-04   3.53784e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  7.480e-09 -2.394e-14 -4.978e-09  6.545e-11 
-  7.480e-09  4.009e-01  2.527e-06  2.817e+00  1.609e-02 
- -2.394e-14  2.527e-06  8.858e-07  3.272e-05  2.022e-07 
- -4.978e-09  2.817e+00  3.272e-05  5.951e+01  2.267e-01 
-  6.545e-11  1.609e-02  2.022e-07  2.267e-01  1.232e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00014   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72585   0.000  1.000  0.004  0.577  0.724
-        3  0.00624  -0.000  0.004  1.000  0.005  0.006
-        4  0.83815  -0.000  0.577  0.005  1.000  0.837
-        5  0.88759   0.000  0.724  0.006  0.837  1.000
-650
-650 +- 0.0197235
-22.028 +- 0.632975
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11266.8 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49945e+02   9.00000e+00   0.00000e+00  -5.09816e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.59572e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00  -1.69501e-01
-   4  sg_p3        4.29297e+01   1.20000e+01  -4.68077e-01  -5.58269e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.53081e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM MIGRAD    STATUS=CONVERGED     192 CALLS         193 TOTAL
-                     EDM=6.51945e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.82842e-02   2.08842e-03** at limit **
-   2  sg_p1        2.14609e+01   6.40975e-01   1.89354e-03  -6.53789e-02
-   3  sg_p2        6.50000e+02   8.30067e-01   1.08933e-02** at limit **
-   4  sg_p3        5.04392e+01   6.38127e+00   4.50073e-03  -1.04974e-02
-   5  sg_p4        8.87574e-01   3.78194e-02   8.69382e-03   5.77855e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  7.879e-10 -3.359e-14 -1.419e-09  2.261e-12 
-  7.879e-10  4.111e-01  2.684e-05  2.430e+00  1.837e-02 
- -3.359e-14  2.684e-05  4.386e-06  2.767e-04  2.208e-06 
- -1.419e-09  2.430e+00  2.767e-04  4.089e+01  2.045e-01 
-  2.261e-12  1.837e-02  2.208e-06  2.045e-01  1.464e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75133   0.001  1.000  0.020  0.593  0.749
-        3  0.02792  -0.000  0.020  1.000  0.021  0.028
-        4  0.83716  -0.000  0.593  0.021  1.000  0.836
-        5  0.89303   0.000  0.749  0.028  0.836  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM HESSE     STATUS=OK             31 CALLS         224 TOTAL
-                     EDM=6.57565e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.82843e-02   4.17684e-04   1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.14609e+01   6.41983e-01   3.78708e-04  -1.23899e-01
-   3  sg_p2        6.50000e+02   8.29559e-01   2.17866e-03   1.57098e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.04392e+01   6.41541e+00   1.80029e-04  -3.32084e-01
-   5  sg_p4        8.87574e-01   3.80027e-02   3.47753e-04   2.53193e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  1.574e-10 -1.584e-15 -3.026e-10  3.527e-13 
-  1.574e-10  4.124e-01  6.128e-06  2.455e+00  1.851e-02 
- -1.584e-15  6.128e-06  4.383e-06  6.343e-05  5.049e-07 
- -3.026e-10  2.455e+00  6.343e-05  4.133e+01  2.070e-01 
-  3.527e-13  1.851e-02  5.049e-07  2.070e-01  1.478e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00024   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75224   0.000  1.000  0.005  0.595  0.750
-        3  0.00636  -0.000  0.005  1.000  0.005  0.006
-        4  0.83906  -0.000  0.595  0.005  1.000  0.838
-        5  0.89415   0.000  0.750  0.006  0.838  1.000
-650
-650 +- 0.0182843
-21.4609 +- 0.641983
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10353.9 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49972e+02   9.00000e+00   0.00000e+00  -3.38302e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.33664e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.20039e-01
-   4  sg_p3        4.45271e+01   1.20000e+01  -4.38463e-01  -2.07423e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.51988e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=3.70488e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.03479e-02   2.11149e-03** at limit **
-   2  sg_p1        2.19227e+01   6.48242e-01   1.90022e-03  -1.27252e-01
-   3  sg_p2        6.50000e+02   1.19398e+00   1.24007e-02** at limit **
-   4  sg_p3        5.33695e+01   7.75365e+00   5.12507e-03  -4.78312e-02
-   5  sg_p4        9.02088e-01   3.57133e-02   8.36019e-03   4.34979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.014e-08 -1.058e-12 -4.315e-09  9.944e-11 
-  1.014e-08  4.204e-01  1.012e-04  2.912e+00  1.700e-02 
- -1.058e-12  1.012e-04  5.221e-05  1.288e-03  8.107e-06 
- -4.315e-09  2.912e+00  1.288e-03  6.049e+01  2.345e-01 
-  9.944e-11  1.700e-02  8.107e-06  2.345e-01  1.304e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72806   0.001  1.000  0.022  0.577  0.726
-        3  0.03161  -0.000  0.022  1.000  0.023  0.031
-        4  0.83617  -0.000  0.577  0.023  1.000  0.835
-        5  0.88699   0.000  0.726  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=3.65925e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.03480e-02   4.22297e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19227e+01   6.50158e-01   3.80043e-04  -9.57392e-02
-   3  sg_p2        6.50000e+02   1.19307e+00   2.48014e-03   1.57134e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.33695e+01   7.80905e+00   2.05003e-04  -2.80852e-01
-   5  sg_p4        9.02088e-01   3.59600e-02   1.67204e-03   3.54640e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.922e-09 -5.339e-14 -9.335e-10  1.841e-11 
-  1.922e-09  4.229e-01  2.702e-05  2.958e+00  1.722e-02 
- -5.339e-14  2.702e-05  5.217e-05  3.453e-04  2.166e-06 
- -9.335e-10  2.958e+00  3.453e-04  6.136e+01  2.386e-01 
-  1.841e-11  1.722e-02  2.166e-06  2.386e-01  1.322e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00022   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72996   0.000  1.000  0.006  0.581  0.728
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83871  -0.000  0.581  0.006  1.000  0.838
-        5  0.88867   0.000  0.728  0.008  0.838  1.000
-650
-650 +- 0.020348
-21.9227 +- 0.650158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11888.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49914e+02   9.00000e+00   0.00000e+00  -6.82601e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.48309e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.99059e-01
-   4  sg_p3        4.46355e+01   1.20000e+01  -4.36469e-01  -2.16258e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.69494e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.23148e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.77338e-02   2.11221e-03** at limit **
-   2  sg_p1        2.19855e+01   6.05458e-01   1.90519e-03  -1.38620e-01
-   3  sg_p2        6.50000e+02   1.06015e+00   1.25262e-02** at limit **
-   4  sg_p3        5.36334e+01   7.33056e+00   5.16765e-03  -5.62178e-02
-   5  sg_p4        9.02830e-01   3.32252e-02   8.34638e-03   5.03701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  1.247e-08 -1.236e-12 -3.833e-09  1.281e-10 
-  1.247e-08  3.667e-01  8.771e-05  2.567e+00  1.472e-02 
- -1.236e-12  8.771e-05  4.483e-05  1.134e-03  7.012e-06 
- -3.833e-09  2.567e+00  1.134e-03  5.403e+01  2.060e-01 
-  1.281e-10  1.472e-02  7.012e-06  2.060e-01  1.125e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72667   0.001  1.000  0.022  0.577  0.725
-        3  0.03177  -0.000  0.022  1.000  0.023  0.031
-        4  0.83644  -0.000  0.577  0.023  1.000  0.835
-        5  0.88683   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.17857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.77339e-02   4.22443e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19855e+01   6.07305e-01   3.81037e-04  -9.19155e-02
-   3  sg_p2        6.50000e+02   1.05933e+00   2.50525e-03   1.57133e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.36334e+01   7.38443e+00   2.06706e-04  -2.76278e-01
-   5  sg_p4        9.02830e-01   3.34620e-02   1.66928e-03   3.59921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  2.310e-09 -6.277e-14 -8.650e-10  2.316e-11 
-  2.310e-09  3.690e-01  2.329e-05  2.608e+00  1.491e-02 
- -6.277e-14  2.329e-05  4.479e-05  3.022e-04  1.863e-06 
- -8.650e-10  2.608e+00  3.022e-04  5.483e+01  2.097e-01 
-  2.316e-11  1.491e-02  1.863e-06  2.097e-01  1.142e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72864   0.000  1.000  0.006  0.580  0.727
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83905  -0.000  0.580  0.006  1.000  0.838
-        5  0.88856   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0177339
-21.9855 +- 0.607305
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 17 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 18 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 20 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 21 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 22 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 26 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 35 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 41 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 650 +- 0.0189845 (stat) - 1.56965e-07 + 8.69034e-09 (syst); -0.00949226/+0.00949226 (total)
-   Uncertainty on sg_p1 = 21.9547 +- 0.628139 (stat) - 1.34059 + 0.54216 (syst); -1.37689/+0.62656 (total)
-   Uncertainty on sg_p2 = 650 +- 1.12399 (stat) - 0 + 1.14208e-05 (syst); -0.561993/+0.561993 (total)
-   Uncertainty on sg_p3 = 53.5044 +- 7.59176 (stat) - 9.66364 + 0.356475 (syst); -10.3824/+3.81258 (total)
-   Uncertainty on sg_p4 = 0.902474 +- 0.0346722 (stat) - 0.0585604 + 0.00172451 (syst); -0.0610726/+0.0174217 (total) 
-   === Baseline plot === </br>
-   norm = 1859.61
-JEC     lnN   1.0047  -
-JER     lnN   1.01327  -
-btag    lnN   1.06919  -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_crystal_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt
deleted file mode 100644
index c8ac0f6..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  191.924 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06823    -
-JER       lnN     1.02103   - 
-JEC       lnN     1.01807   -
-trigger   lnN     1.10    -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_crystal_252_330/signal260_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_crystal_252_330/signal260_sig.log
deleted file mode 100644
index 13dd83d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_crystal_252_330/signal260_sig.log
+++ /dev/null
@@ -1,842 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7249.56 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -3.41934e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -9.44540e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.87170e+02
-   4  sg_p3        5.54385e+01   2.90000e+01  -7.56845e-01  -4.27472e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.11620e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM MIGRAD    STATUS=CONVERGED     183 CALLS         184 TOTAL
-                     EDM=2.26284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.54307e+02   4.46691e-01   1.29592e-03   1.21370e-02
-   2  sg_p1        1.55513e+01   3.65330e-01   1.72918e-03  -4.57555e-02
-   3  sg_p2        3.13992e+02   1.11306e+01   1.54612e-03   9.59972e-03
-   4  sg_p3        7.00767e+01   6.24766e+00   2.56609e-03   1.76365e-03
-   5  sg_p4        9.03546e-01   1.22165e-02   2.78748e-03  -5.41093e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.996e-01  3.046e-02  3.316e-01  2.128e-01  9.423e-04 
-  3.046e-02  1.335e-01  1.073e+00 -6.884e-02  1.627e-03 
-  3.316e-01  1.073e+00  1.240e+02 -3.745e+01  8.007e-02 
-  2.128e-01 -6.884e-02 -3.745e+01  3.907e+01 -1.718e-02 
-  9.423e-04  1.627e-03  8.007e-02 -1.718e-02  1.494e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24437   1.000  0.187  0.067  0.076  0.173
-        2  0.40012   0.187  1.000  0.264 -0.030  0.364
-        3  0.72503   0.067  0.264  1.000 -0.538  0.588
-        4  0.56339   0.076 -0.030 -0.538  1.000 -0.225
-        5  0.63827   0.173  0.364  0.588 -0.225  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM HESSE     STATUS=OK             31 CALLS         215 TOTAL
-                     EDM=2.25533e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.54307e+02   4.46615e-01   2.59185e-04   2.17043e-01
-   2  sg_p1        1.55513e+01   3.65352e-01   3.45837e-04   1.79332e-01
-   3  sg_p2        3.13992e+02   1.12246e+01   6.18447e-05   4.82680e-02
-   4  sg_p3        7.00767e+01   6.29870e+00   1.02643e-04  -6.25716e-01
-   5  sg_p4        9.03546e-01   1.22468e-02   1.11499e-04   6.61353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.995e-01  3.031e-02  3.258e-01  2.130e-01  9.376e-04 
-  3.031e-02  1.335e-01  1.084e+00 -7.870e-02  1.633e-03 
-  3.258e-01  1.084e+00  1.261e+02 -3.883e+01  8.134e-02 
-  2.130e-01 -7.870e-02 -3.883e+01  3.971e+01 -1.806e-02 
-  9.376e-04  1.633e-03  8.134e-02 -1.806e-02  1.502e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24371   1.000  0.186  0.065  0.076  0.171
-        2  0.40024   0.186  1.000  0.264 -0.034  0.365
-        3  0.73047   0.065  0.264  1.000 -0.549  0.591
-        4  0.57308   0.076 -0.034 -0.549  1.000 -0.234
-        5  0.64057   0.171  0.365  0.591 -0.234  1.000
-260
-254.307 +- 0.446615
-15.5513 +- 0.365352
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7365.44 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -5.31672e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -1.29968e+02
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.18090e+02
-   4  sg_p3        7.02234e+01   2.90000e+01  -6.24469e-01   3.04411e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.01446e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM MIGRAD    STATUS=CONVERGED     193 CALLS         194 TOTAL
-                     EDM=9.01413e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.56005e+02   4.49108e-01   1.34491e-03  -5.08347e-03
-   2  sg_p1        1.58159e+01   3.69974e-01   1.76393e-03  -5.10762e-02
-   3  sg_p2        3.20358e+02   1.45835e+01   1.97066e-03   3.38124e-02
-   4  sg_p3        8.43702e+01   8.25437e+00   3.00025e-03   1.43647e-02
-   5  sg_p4        9.08830e-01   1.15488e-02   2.75207e-03  -4.16137e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.033e-02  4.244e-01  2.172e-01  8.632e-04 
-  3.033e-02  1.369e-01  1.451e+00 -1.530e-01  1.573e-03 
-  4.244e-01  1.451e+00  2.129e+02 -7.227e+01  9.550e-02 
-  2.172e-01 -1.530e-01 -7.227e+01  6.823e+01 -2.243e-02 
-  8.632e-04  1.573e-03  9.550e-02 -2.243e-02  1.335e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23216   1.000  0.182  0.065  0.059  0.166
-        2  0.40488   0.182  1.000  0.269 -0.050  0.368
-        3  0.74731   0.065  0.269  1.000 -0.600  0.566
-        4  0.62245   0.059 -0.050 -0.600  1.000 -0.235
-        5  0.62271   0.166  0.368  0.566 -0.235  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM HESSE     STATUS=OK             31 CALLS         225 TOTAL
-                     EDM=9.02546e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.56005e+02   4.49038e-01   5.37964e-05   3.04976e-01
-   2  sg_p1        1.58159e+01   3.70057e-01   3.52786e-04   2.02768e-01
-   3  sg_p2        3.20358e+02   1.47403e+01   3.94131e-04   7.02587e-02
-   4  sg_p3        8.43702e+01   8.34145e+00   1.20010e-04  -5.08769e-01
-   5  sg_p4        9.08830e-01   1.15806e-02   5.50414e-04   6.88425e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.017e-02  4.192e-01  2.171e-01  8.603e-04 
-  3.017e-02  1.370e-01  1.472e+00 -1.690e-01  1.581e-03 
-  4.192e-01  1.472e+00  2.175e+02 -7.517e+01  9.735e-02 
-  2.171e-01 -1.690e-01 -7.517e+01  6.968e+01 -2.367e-02 
-  8.603e-04  1.581e-03  9.735e-02 -2.367e-02  1.343e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23152   1.000  0.182  0.063  0.058  0.165
-        2  0.40534   0.182  1.000  0.270 -0.055  0.369
-        3  0.75354   0.063  0.270  1.000 -0.611  0.570
-        4  0.63259   0.058 -0.055 -0.611  1.000 -0.245
-        5  0.62540   0.165  0.369  0.570 -0.245  1.000
-260
-256.005 +- 0.449038
-15.8159 +- 0.370057
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7023.18 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -2.24645e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -8.46385e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.26204e+02
-   4  sg_p3        6.83932e+01   2.90000e+01  -6.40116e-01   1.32344e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.30920e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=1.6519e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.53020e+02   4.42659e-01   1.26031e-03   3.88378e-02
-   2  sg_p1        1.54031e+01   3.53863e-01   1.68006e-03  -8.87814e-02
-   3  sg_p2        3.18681e+02   1.25359e+01   1.70808e-03   3.37307e-03
-   4  sg_p3        7.61417e+01   7.12298e+00   2.70731e-03  -4.47116e-02
-   5  sg_p4        9.04717e-01   1.16729e-02   2.71701e-03  -2.80475e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.960e-01  2.470e-02  3.794e-01  1.447e-01  7.850e-04 
-  2.470e-02  1.253e-01  1.069e+00 -1.360e-01  1.312e-03 
-  3.794e-01  1.069e+00  1.572e+02 -5.206e+01  8.352e-02 
-  1.447e-01 -1.360e-01 -5.206e+01  5.079e+01 -2.199e-02 
-  7.850e-04  1.312e-03  8.352e-02 -2.199e-02  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20982   1.000  0.158  0.068  0.046  0.152
-        2  0.35244   0.158  1.000  0.241 -0.054  0.317
-        3  0.72927   0.068  0.241  1.000 -0.582  0.570
-        4  0.59651   0.046 -0.054 -0.582  1.000 -0.264
-        5  0.60854   0.152  0.317  0.570 -0.264  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM HESSE     STATUS=OK             31 CALLS         213 TOTAL
-                     EDM=1.65128e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.53020e+02   4.42602e-01   2.52062e-04   1.51594e-01
-   2  sg_p1        1.54031e+01   3.53933e-01   3.36012e-04   1.66253e-01
-   3  sg_p2        3.18681e+02   1.26590e+01   6.83233e-05   6.44624e-02
-   4  sg_p3        7.61417e+01   7.19114e+00   1.08292e-04  -5.75018e-01
-   5  sg_p4        9.04717e-01   1.17079e-02   5.43402e-04   6.67300e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.959e-01  2.459e-02  3.764e-01  1.438e-01  7.830e-04 
-  2.459e-02  1.253e-01  1.084e+00 -1.475e-01  1.320e-03 
-  3.764e-01  1.084e+00  1.604e+02 -5.404e+01  8.512e-02 
-  1.438e-01 -1.475e-01 -5.404e+01  5.177e+01 -2.306e-02 
-  7.830e-04  1.320e-03  8.512e-02 -2.306e-02  1.372e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20923   1.000  0.157  0.067  0.045  0.151
-        2  0.35293   0.157  1.000  0.242 -0.058  0.318
-        3  0.73547   0.067  0.242  1.000 -0.593  0.574
-        4  0.60661   0.045 -0.058 -0.593  1.000 -0.274
-        5  0.61162   0.151  0.318  0.574 -0.274  1.000
-260
-253.02 +- 0.442602
-15.4031 +- 0.353933
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5529.06 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.09302e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.84754e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.60258e+01
-   4  sg_p3        1.19103e+02   2.90000e+01  -2.50167e-01   6.51588e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55737e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM MIGRAD    STATUS=CONVERGED     276 CALLS         277 TOTAL
-                     EDM=4.33865e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.23280e-01   6.16272e-04  -2.78767e-01
-   2  sg_p1        3.47719e+00   1.26808e-01   2.66781e-03  -6.03093e-03
-   3  sg_p2        2.67513e+02   7.88309e+00   7.67886e-04  -3.32533e-01
-   4  sg_p3        3.42369e+01   3.97181e+00   1.09311e-03  -2.13224e-01
-   5  sg_p4        6.40026e-01   4.56991e-02   3.70400e-03   4.78364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.286e-03 -3.667e-02  3.860e-02  7.477e-05 
-  2.286e-03  1.610e-02  4.707e-01 -1.623e-01  3.257e-03 
- -3.667e-02  4.707e-01  6.220e+01 -2.796e+01  3.355e-01 
-  3.860e-02 -1.623e-01 -2.796e+01  1.579e+01 -1.455e-01 
-  7.477e-05  3.257e-03  3.355e-01 -1.455e-01  2.118e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20586   1.000  0.146 -0.038  0.079  0.013
-        2  0.60362   0.146  1.000  0.470 -0.322  0.558
-        3  0.95992  -0.038  0.470  1.000 -0.892  0.924
-        4  0.90004   0.079 -0.322 -0.892  1.000 -0.796
-        5  0.93542   0.013  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM HESSE     STATUS=OK             31 CALLS         308 TOTAL
-                     EDM=4.34749e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.23300e-01   1.23254e-04   9.13107e-02
-   2  sg_p1        3.47719e+00   1.27818e-01   1.06712e-04  -2.64476e-01
-   3  sg_p2        2.67513e+02   8.27292e+00   1.53577e-04   5.44068e-01
-   4  sg_p3        3.42369e+01   4.16972e+00   2.18622e-04  -9.84235e-01
-   5  sg_p4        6.40026e-01   4.75240e-02   7.40799e-04  -4.55485e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.233e-03 -4.363e-02  4.203e-02  3.794e-05 
-  2.233e-03  1.636e-02  5.114e-01 -1.832e-01  3.471e-03 
- -4.363e-02  5.114e-01  6.851e+01 -3.117e+01  3.687e-01 
-  4.203e-02 -1.832e-01 -3.117e+01  1.740e+01 -1.624e-01 
-  3.794e-05  3.471e-03  3.687e-01 -1.624e-01  2.293e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20660   1.000  0.142 -0.043  0.082  0.006
-        2  0.61186   0.142  1.000  0.483 -0.343  0.567
-        3  0.96369  -0.043  0.483  1.000 -0.903  0.930
-        4  0.90977   0.082 -0.343 -0.903  1.000 -0.813
-        5  0.94051   0.006  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.1233
-3.47719 +- 0.127818
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5643.26 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.61456e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -4.66447e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -2.40363e+01
-   4  sg_p3        1.17448e+02   2.90000e+01  -2.61968e-01   1.99273e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.86435e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=7.77109e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61021e+02   1.29098e-01   6.49909e-04  -1.01661e-02
-   2  sg_p1        3.57410e+00   1.33955e-01   2.78633e-03   8.71570e-03
-   3  sg_p2        2.69189e+02   7.27138e+00   7.50620e-04  -6.29806e-03
-   4  sg_p3        3.37078e+01   3.73722e+00   1.08346e-03   1.26302e-02
-   5  sg_p4        6.28095e-01   4.44728e-02   3.81722e-03   4.51572e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.658e-03 -2.984e-02  3.729e-02  1.239e-04 
-  2.658e-03  1.797e-02  4.694e-01 -1.655e-01  3.402e-03 
- -2.984e-02  4.694e-01  5.292e+01 -2.409e+01  2.999e-01 
-  3.729e-02 -1.655e-01 -2.409e+01  1.398e+01 -1.324e-01 
-  1.239e-04  3.402e-03  2.999e-01 -1.324e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21380   1.000  0.154 -0.032  0.077  0.021
-        2  0.61009   0.154  1.000  0.481 -0.330  0.567
-        3  0.95628  -0.032  0.481  1.000 -0.886  0.921
-        4  0.89342   0.077 -0.330 -0.886  1.000 -0.790
-        5  0.93183   0.021  0.567  0.921 -0.790  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM HESSE     STATUS=OK             31 CALLS         361 TOTAL
-                     EDM=7.78626e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61021e+02   1.29118e-01   1.29982e-04   1.02301e-01
-   2  sg_p1        3.57410e+00   1.35116e-01   1.11453e-04  -2.14592e-01
-   3  sg_p2        2.69189e+02   7.65572e+00   3.00248e-05   5.55561e-01
-   4  sg_p3        3.37078e+01   3.93737e+00   4.33384e-05  -9.90860e-01
-   5  sg_p4        6.28095e-01   4.63527e-02   1.52689e-04  -5.09360e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.595e-03 -3.703e-02  4.087e-02  8.376e-05 
-  2.595e-03  1.829e-02  5.123e-01 -1.882e-01  3.639e-03 
- -3.703e-02  5.123e-01  5.866e+01 -2.709e+01  3.317e-01 
-  4.087e-02 -1.882e-01 -2.709e+01  1.552e+01 -1.489e-01 
-  8.376e-05  3.639e-03  3.317e-01 -1.489e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21449   1.000  0.149 -0.037  0.080  0.014
-        2  0.61885   0.149  1.000  0.495 -0.353  0.576
-        3  0.96065  -0.037  0.495  1.000 -0.898  0.927
-        4  0.90455   0.080 -0.353 -0.898  1.000 -0.810
-        5  0.93751   0.014  0.576  0.927 -0.810  1.000
-260
-261.021 +- 0.129118
-3.5741 +- 0.135116
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5267.68 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -5.95437e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00   3.20402e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.99949e+01
-   4  sg_p3        1.11751e+02   2.90000e+01  -3.02882e-01  -4.35631e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.33332e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=1.65041e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60758e+02   1.21975e-01   5.95143e-04   1.08233e-01
-   2  sg_p1        3.44214e+00   1.23415e-01   2.58042e-03  -3.07927e-02
-   3  sg_p2        2.66886e+02   8.40621e+00   7.85904e-04  -8.91521e-02
-   4  sg_p3        3.45456e+01   4.21772e+00   1.11909e-03  -3.70390e-02
-   5  sg_p4        6.53607e-01   4.66834e-02   3.55052e-03   4.88918e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.239e-03 -3.126e-02  3.680e-02  1.101e-04 
-  2.239e-03  1.525e-02  4.727e-01 -1.617e-01  3.144e-03 
- -3.126e-02  4.727e-01  7.074e+01 -3.174e+01  3.661e-01 
-  3.680e-02 -1.617e-01 -3.174e+01  1.781e+01 -1.585e-01 
-  1.101e-04  3.144e-03  3.661e-01 -1.585e-01  2.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20236   1.000  0.149 -0.030  0.072  0.019
-        2  0.58940   0.149  1.000  0.455 -0.310  0.542
-        3  0.96112  -0.030  0.455  1.000 -0.894  0.926
-        4  0.90222   0.072 -0.310 -0.894  1.000 -0.799
-        5  0.93659   0.019  0.542  0.926 -0.799  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.76189e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60758e+02   1.21991e-01   1.19029e-04   7.59045e-02
-   2  sg_p1        3.44214e+00   1.24473e-01   5.16084e-04  -2.82680e-01
-   3  sg_p2        2.66886e+02   8.89789e+00   1.57181e-04   5.39785e-01
-   4  sg_p3        3.45456e+01   4.46620e+00   4.47638e-05  -9.80400e-01
-   5  sg_p4        6.53607e-01   4.88967e-02   1.42021e-04  -3.95830e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.186e-03 -3.913e-02  4.064e-02  6.994e-05 
-  2.186e-03  1.552e-02  5.207e-01 -1.864e-01  3.386e-03 
- -3.913e-02  5.207e-01  7.927e+01 -3.606e+01  4.092e-01 
-  4.064e-02 -1.864e-01 -3.606e+01  1.997e+01 -1.803e-01 
-  6.994e-05  3.386e-03  4.092e-01 -1.803e-01  2.428e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20297   1.000  0.144 -0.036  0.075  0.012
-        2  0.59871   0.144  1.000  0.470 -0.335  0.552
-        3  0.96537  -0.036  0.470  1.000 -0.906  0.933
-        4  0.91331   0.075 -0.335 -0.906  1.000 -0.819
-        5  0.94245   0.012  0.552  0.933 -0.819  1.000
-260
-260.758 +- 0.121991
-3.44214 +- 0.124473
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5338.33 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.92141e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -3.46913e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.94669e+01
-   4  sg_p3        1.15260e+02   2.90000e+01  -2.77623e-01   2.60024e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.53009e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=1.81993e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60953e+02   1.29425e-01   6.35842e-04   1.60007e-03
-   2  sg_p1        3.60691e+00   1.34289e-01   2.70753e-03   6.00340e-02
-   3  sg_p2        2.69933e+02   7.51981e+00   7.59887e-04   1.45220e-02
-   4  sg_p3        3.30610e+01   3.84505e+00   1.10949e-03  -7.50525e-02
-   5  sg_p4        6.55961e-01   4.53996e-02   3.52891e-03  -1.95435e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.675e-02  2.478e-03 -2.803e-02  3.713e-02  1.271e-04 
-  2.478e-03  1.806e-02  5.001e-01 -1.785e-01  3.521e-03 
- -2.803e-02  5.001e-01  5.660e+01 -2.561e+01  3.175e-01 
-  3.713e-02 -1.785e-01 -2.561e+01  1.480e+01 -1.399e-01 
-  1.271e-04  3.521e-03  3.175e-01 -1.399e-01  2.088e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20432   1.000  0.142 -0.029  0.075  0.021
-        2  0.61219   0.142  1.000  0.495 -0.345  0.573
-        3  0.95634  -0.029  0.495  1.000 -0.885  0.924
-        4  0.89204   0.075 -0.345 -0.885  1.000 -0.796
-        5  0.93370   0.021  0.573  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=1.90259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60953e+02   1.29442e-01   1.27168e-04   9.54629e-02
-   2  sg_p1        3.60691e+00   1.35689e-01   5.41506e-04  -1.97834e-01
-   3  sg_p2        2.69933e+02   7.93967e+00   3.03955e-05   5.60690e-01
-   4  sg_p3        3.30610e+01   4.05992e+00   4.43797e-05  -9.99053e-01
-   5  sg_p4        6.55961e-01   4.74783e-02   7.05783e-04  -3.85646e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.676e-02  2.413e-03 -3.514e-02  4.064e-02  8.764e-05 
-  2.413e-03  1.844e-02  5.501e-01 -2.046e-01  3.797e-03 
- -3.514e-02  5.501e-01  6.310e+01 -2.896e+01  3.534e-01 
-  4.064e-02 -2.046e-01 -2.896e+01  1.650e+01 -1.584e-01 
-  8.764e-05  3.797e-03  3.534e-01 -1.584e-01  2.286e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20493   1.000  0.137 -0.034  0.077  0.014
-        2  0.62260   0.137  1.000  0.510 -0.371  0.585
-        3  0.96093  -0.034  0.510  1.000 -0.897  0.930
-        4  0.90377   0.077 -0.371 -0.897  1.000 -0.816
-        5  0.93964   0.014  0.585  0.930 -0.816  1.000
-260
-260.953 +- 0.129442
-3.60691 +- 0.135689
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5550.93 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.28869e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.53562e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.85127e+01
-   4  sg_p3        1.16923e+02   2.90000e+01  -2.65719e-01   3.07224e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51841e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM MIGRAD    STATUS=CONVERGED     274 CALLS         275 TOTAL
-                     EDM=7.69222e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60915e+02   1.19244e-01   5.95259e-04   2.60414e-02
-   2  sg_p1        3.41319e+00   1.20663e-01   2.58530e-03   3.23980e-02
-   3  sg_p2        2.68923e+02   7.42025e+00   7.74450e-04   1.02102e-01
-   4  sg_p3        3.38737e+01   3.84818e+00   1.11926e-03   3.14690e-01
-   5  sg_p4        6.51986e-01   4.29286e-02   3.53695e-03   3.46225e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.303e-03 -1.721e-02  2.984e-02  1.633e-04 
-  2.303e-03  1.458e-02  4.143e-01 -1.451e-01  2.850e-03 
- -1.721e-02  4.143e-01  5.511e+01 -2.526e+01  2.945e-01 
-  2.984e-02 -1.451e-01 -2.526e+01  1.482e+01 -1.311e-01 
-  1.633e-04  2.850e-03  2.945e-01 -1.311e-01  1.865e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20941   1.000  0.160 -0.019  0.065  0.032
-        2  0.59245   0.160  1.000  0.462 -0.312  0.547
-        3  0.95480  -0.019  0.462  1.000 -0.884  0.919
-        4  0.89128   0.065 -0.312 -0.884  1.000 -0.789
-        5  0.92953   0.032  0.547  0.919 -0.789  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM HESSE     STATUS=OK             31 CALLS         306 TOTAL
-                     EDM=7.77868e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60915e+02   1.19248e-01   1.19052e-04   9.16025e-02
-   2  sg_p1        3.41319e+00   1.21507e-01   5.17060e-04  -2.97787e-01
-   3  sg_p2        2.68923e+02   7.75724e+00   1.54890e-04   5.53729e-01
-   4  sg_p3        3.38737e+01   4.02350e+00   2.23853e-04  -9.88776e-01
-   5  sg_p4        6.51986e-01   4.45034e-02   7.07389e-04  -4.02868e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.266e-03 -2.167e-02  3.206e-02  1.398e-04 
-  2.266e-03  1.478e-02  4.471e-01 -1.625e-01  3.022e-03 
- -2.167e-02  4.471e-01  6.023e+01 -2.794e+01  3.214e-01 
-  3.206e-02 -1.625e-01 -2.794e+01  1.620e+01 -1.452e-01 
-  1.398e-04  3.022e-03  3.214e-01 -1.452e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20954   1.000  0.156 -0.023  0.067  0.026
-        2  0.60000   0.156  1.000  0.474 -0.332  0.555
-        3  0.95873  -0.023  0.474  1.000 -0.894  0.925
-        4  0.90107   0.067 -0.332 -0.894  1.000 -0.805
-        5  0.93466   0.026  0.555  0.925 -0.805  1.000
-260
-260.915 +- 0.119248
-3.41319 +- 0.121507
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5158.41 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.61967e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.61061e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.77731e+01
-   4  sg_p3        1.15981e+02   2.90000e+01  -2.72457e-01   3.15087e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.44973e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM MIGRAD    STATUS=CONVERGED     308 CALLS         309 TOTAL
-                     EDM=5.20485e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.27328e-01   6.14172e-04  -1.42304e-01
-   2  sg_p1        3.47672e+00   1.30824e-01   2.65500e-03  -1.69927e-02
-   3  sg_p2        2.67457e+02   8.15515e+00   7.65940e-04  -5.24312e-02
-   4  sg_p3        3.41797e+01   4.10175e+00   1.09416e-03  -2.88607e-03
-   5  sg_p4        6.41502e-01   4.72632e-02   3.67010e-03   1.46000e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.621e-02  2.418e-03 -4.005e-02  4.151e-02  7.448e-05 
-  2.418e-03  1.714e-02  5.016e-01 -1.724e-01  3.472e-03 
- -4.005e-02  5.016e-01  6.658e+01 -2.986e+01  3.591e-01 
-  4.151e-02 -1.724e-01 -2.986e+01  1.684e+01 -1.554e-01 
-  7.448e-05  3.472e-03  3.591e-01 -1.554e-01  2.267e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20516   1.000  0.145 -0.039  0.079  0.012
-        2  0.60288   0.145  1.000  0.470 -0.321  0.557
-        3  0.95995  -0.039  0.470  1.000 -0.892  0.924
-        4  0.89989   0.079 -0.321 -0.892  1.000 -0.795
-        5  0.93542   0.012  0.557  0.924 -0.795  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM HESSE     STATUS=OK             31 CALLS         340 TOTAL
-                     EDM=5.2061e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.27350e-01   1.22834e-04   9.13271e-02
-   2  sg_p1        3.47672e+00   1.31905e-01   5.30999e-04  -2.64719e-01
-   3  sg_p2        2.67457e+02   8.59468e+00   1.53188e-04   5.43682e-01
-   4  sg_p3        3.41797e+01   4.32549e+00   4.37665e-05  -9.84949e-01
-   5  sg_p4        6.41502e-01   4.93072e-02   1.46804e-04  -4.48919e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.622e-02  2.353e-03 -4.855e-02  4.568e-02  2.931e-05 
-  2.353e-03  1.743e-02  5.482e-01 -1.965e-01  3.716e-03 
- -4.855e-02  5.482e-01  7.395e+01 -3.362e+01  3.979e-01 
-  4.568e-02 -1.965e-01 -3.362e+01  1.873e+01 -1.751e-01 
-  2.931e-05  3.716e-03  3.979e-01 -1.751e-01  2.471e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20598   1.000  0.140 -0.044  0.083  0.005
-        2  0.61146   0.140  1.000  0.483 -0.344  0.566
-        3  0.96402  -0.044  0.483  1.000 -0.903  0.931
-        4  0.91049   0.083 -0.344 -0.903  1.000 -0.814
-        5  0.94091   0.005  0.566  0.931 -0.814  1.000
-260
-260.912 +- 0.12735
-3.47672 +- 0.131905
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5919.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.57817e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -2.03212e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.98859e+01
-   4  sg_p3        1.17412e+02   2.90000e+01  -2.62219e-01   4.12643e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.69751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=2.6578e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.19425e-01   6.16849e-04  -2.18136e-01
-   2  sg_p1        3.47734e+00   1.22978e-01   2.67008e-03  -4.00164e-03
-   3  sg_p2        2.67522e+02   7.63977e+00   7.68027e-04   8.93806e-02
-   4  sg_p3        3.43314e+01   3.85522e+00   1.09374e-03   1.59575e-01
-   5  sg_p4        6.38280e-01   4.42553e-02   3.71607e-03  -5.05369e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.426e-02  2.165e-03 -3.368e-02  3.602e-02  7.485e-05 
-  2.165e-03  1.514e-02  4.429e-01 -1.530e-01  3.060e-03 
- -3.368e-02  4.429e-01  5.842e+01 -2.630e+01  3.147e-01 
-  3.602e-02 -1.530e-01 -2.630e+01  1.487e+01 -1.367e-01 
-  7.485e-05  3.060e-03  3.147e-01 -1.367e-01  1.985e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20661   1.000  0.147 -0.037  0.078  0.014
-        2  0.60439   0.147  1.000  0.471 -0.322  0.558
-        3  0.95995  -0.037  0.471  1.000 -0.892  0.924
-        4  0.90013   0.078 -0.322 -0.892  1.000 -0.796
-        5  0.93549   0.014  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=2.80959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.19444e-01   1.23370e-04   9.13304e-02
-   2  sg_p1        3.47734e+00   1.23908e-01   1.06803e-04  -2.64402e-01
-   3  sg_p2        2.67522e+02   8.01092e+00   1.53605e-04   5.44131e-01
-   4  sg_p3        3.43314e+01   4.04488e+00   2.18748e-04  -9.83058e-01
-   5  sg_p4        6.38280e-01   4.59835e-02   1.48643e-04  -4.63274e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.427e-02  2.115e-03 -4.024e-02  3.926e-02  4.011e-05 
-  2.115e-03  1.537e-02  4.799e-01 -1.722e-01  3.254e-03 
- -4.024e-02  4.799e-01  6.424e+01 -2.927e+01  3.453e-01 
-  3.926e-02 -1.722e-01 -2.927e+01  1.637e+01 -1.524e-01 
-  4.011e-05  3.254e-03  3.453e-01 -1.524e-01  2.145e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20733   1.000  0.143 -0.042  0.081  0.007
-        2  0.61221   0.143  1.000  0.483 -0.343  0.567
-        3  0.96365  -0.042  0.483  1.000 -0.903  0.930
-        4  0.90974   0.081 -0.343 -0.903  1.000 -0.813
-        5  0.94046   0.007  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.119444
-3.47734 +- 0.123908
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 260.912 +- 0.1233 (stat) - 0.153523 + 0.10939 (syst); -0.165439/+0.125566 (total)
-   Uncertainty on sg_p1 = 3.47719 +- 0.127818 (stat) - 0.064005 + 0.129714 (syst); -0.0904489/+0.144603 (total)
-   Uncertainty on sg_p2 = 267.513 +- 8.27292 (stat) - 0.627396 + 2.41961 (syst); -4.18377/+4.79216 (total)
-   Uncertainty on sg_p3 = 34.2369 +- 4.16972 (stat) - 1.17594 + 0.308663 (syst); -2.39363/+2.10758 (total)
-   Uncertainty on sg_p4 = 0.640026 +- 0.047524 (stat) - 0.0119301 + 0.0159351 (syst); -0.0265887/+0.0286105 (total) 
-   === Baseline plot === </br>
-   norm = 191.924
-JEC     lnN   1.01807  -
-JER     lnN   1.02103  -
-btag    lnN   1.06823  -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt
deleted file mode 100644
index f12206c..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  191.924 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06823    -
-JER       lnN     1.02103   - 
-JEC       lnN     1.01807   -
-trigger   lnN     1.10    -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_gaus_exp_252_330/signal260_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_gaus_exp_252_330/signal260_sig.log
deleted file mode 100644
index 13dd83d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_260_gaus_exp_252_330/signal260_sig.log
+++ /dev/null
@@ -1,842 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7249.56 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -3.41934e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -9.44540e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.87170e+02
-   4  sg_p3        5.54385e+01   2.90000e+01  -7.56845e-01  -4.27472e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.11620e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM MIGRAD    STATUS=CONVERGED     183 CALLS         184 TOTAL
-                     EDM=2.26284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.54307e+02   4.46691e-01   1.29592e-03   1.21370e-02
-   2  sg_p1        1.55513e+01   3.65330e-01   1.72918e-03  -4.57555e-02
-   3  sg_p2        3.13992e+02   1.11306e+01   1.54612e-03   9.59972e-03
-   4  sg_p3        7.00767e+01   6.24766e+00   2.56609e-03   1.76365e-03
-   5  sg_p4        9.03546e-01   1.22165e-02   2.78748e-03  -5.41093e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.996e-01  3.046e-02  3.316e-01  2.128e-01  9.423e-04 
-  3.046e-02  1.335e-01  1.073e+00 -6.884e-02  1.627e-03 
-  3.316e-01  1.073e+00  1.240e+02 -3.745e+01  8.007e-02 
-  2.128e-01 -6.884e-02 -3.745e+01  3.907e+01 -1.718e-02 
-  9.423e-04  1.627e-03  8.007e-02 -1.718e-02  1.494e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24437   1.000  0.187  0.067  0.076  0.173
-        2  0.40012   0.187  1.000  0.264 -0.030  0.364
-        3  0.72503   0.067  0.264  1.000 -0.538  0.588
-        4  0.56339   0.076 -0.030 -0.538  1.000 -0.225
-        5  0.63827   0.173  0.364  0.588 -0.225  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM HESSE     STATUS=OK             31 CALLS         215 TOTAL
-                     EDM=2.25533e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.54307e+02   4.46615e-01   2.59185e-04   2.17043e-01
-   2  sg_p1        1.55513e+01   3.65352e-01   3.45837e-04   1.79332e-01
-   3  sg_p2        3.13992e+02   1.12246e+01   6.18447e-05   4.82680e-02
-   4  sg_p3        7.00767e+01   6.29870e+00   1.02643e-04  -6.25716e-01
-   5  sg_p4        9.03546e-01   1.22468e-02   1.11499e-04   6.61353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.995e-01  3.031e-02  3.258e-01  2.130e-01  9.376e-04 
-  3.031e-02  1.335e-01  1.084e+00 -7.870e-02  1.633e-03 
-  3.258e-01  1.084e+00  1.261e+02 -3.883e+01  8.134e-02 
-  2.130e-01 -7.870e-02 -3.883e+01  3.971e+01 -1.806e-02 
-  9.376e-04  1.633e-03  8.134e-02 -1.806e-02  1.502e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24371   1.000  0.186  0.065  0.076  0.171
-        2  0.40024   0.186  1.000  0.264 -0.034  0.365
-        3  0.73047   0.065  0.264  1.000 -0.549  0.591
-        4  0.57308   0.076 -0.034 -0.549  1.000 -0.234
-        5  0.64057   0.171  0.365  0.591 -0.234  1.000
-260
-254.307 +- 0.446615
-15.5513 +- 0.365352
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7365.44 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -5.31672e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -1.29968e+02
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.18090e+02
-   4  sg_p3        7.02234e+01   2.90000e+01  -6.24469e-01   3.04411e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.01446e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM MIGRAD    STATUS=CONVERGED     193 CALLS         194 TOTAL
-                     EDM=9.01413e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.56005e+02   4.49108e-01   1.34491e-03  -5.08347e-03
-   2  sg_p1        1.58159e+01   3.69974e-01   1.76393e-03  -5.10762e-02
-   3  sg_p2        3.20358e+02   1.45835e+01   1.97066e-03   3.38124e-02
-   4  sg_p3        8.43702e+01   8.25437e+00   3.00025e-03   1.43647e-02
-   5  sg_p4        9.08830e-01   1.15488e-02   2.75207e-03  -4.16137e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.033e-02  4.244e-01  2.172e-01  8.632e-04 
-  3.033e-02  1.369e-01  1.451e+00 -1.530e-01  1.573e-03 
-  4.244e-01  1.451e+00  2.129e+02 -7.227e+01  9.550e-02 
-  2.172e-01 -1.530e-01 -7.227e+01  6.823e+01 -2.243e-02 
-  8.632e-04  1.573e-03  9.550e-02 -2.243e-02  1.335e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23216   1.000  0.182  0.065  0.059  0.166
-        2  0.40488   0.182  1.000  0.269 -0.050  0.368
-        3  0.74731   0.065  0.269  1.000 -0.600  0.566
-        4  0.62245   0.059 -0.050 -0.600  1.000 -0.235
-        5  0.62271   0.166  0.368  0.566 -0.235  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM HESSE     STATUS=OK             31 CALLS         225 TOTAL
-                     EDM=9.02546e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.56005e+02   4.49038e-01   5.37964e-05   3.04976e-01
-   2  sg_p1        1.58159e+01   3.70057e-01   3.52786e-04   2.02768e-01
-   3  sg_p2        3.20358e+02   1.47403e+01   3.94131e-04   7.02587e-02
-   4  sg_p3        8.43702e+01   8.34145e+00   1.20010e-04  -5.08769e-01
-   5  sg_p4        9.08830e-01   1.15806e-02   5.50414e-04   6.88425e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.017e-02  4.192e-01  2.171e-01  8.603e-04 
-  3.017e-02  1.370e-01  1.472e+00 -1.690e-01  1.581e-03 
-  4.192e-01  1.472e+00  2.175e+02 -7.517e+01  9.735e-02 
-  2.171e-01 -1.690e-01 -7.517e+01  6.968e+01 -2.367e-02 
-  8.603e-04  1.581e-03  9.735e-02 -2.367e-02  1.343e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23152   1.000  0.182  0.063  0.058  0.165
-        2  0.40534   0.182  1.000  0.270 -0.055  0.369
-        3  0.75354   0.063  0.270  1.000 -0.611  0.570
-        4  0.63259   0.058 -0.055 -0.611  1.000 -0.245
-        5  0.62540   0.165  0.369  0.570 -0.245  1.000
-260
-256.005 +- 0.449038
-15.8159 +- 0.370057
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7023.18 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -2.24645e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -8.46385e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.26204e+02
-   4  sg_p3        6.83932e+01   2.90000e+01  -6.40116e-01   1.32344e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.30920e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=1.6519e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.53020e+02   4.42659e-01   1.26031e-03   3.88378e-02
-   2  sg_p1        1.54031e+01   3.53863e-01   1.68006e-03  -8.87814e-02
-   3  sg_p2        3.18681e+02   1.25359e+01   1.70808e-03   3.37307e-03
-   4  sg_p3        7.61417e+01   7.12298e+00   2.70731e-03  -4.47116e-02
-   5  sg_p4        9.04717e-01   1.16729e-02   2.71701e-03  -2.80475e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.960e-01  2.470e-02  3.794e-01  1.447e-01  7.850e-04 
-  2.470e-02  1.253e-01  1.069e+00 -1.360e-01  1.312e-03 
-  3.794e-01  1.069e+00  1.572e+02 -5.206e+01  8.352e-02 
-  1.447e-01 -1.360e-01 -5.206e+01  5.079e+01 -2.199e-02 
-  7.850e-04  1.312e-03  8.352e-02 -2.199e-02  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20982   1.000  0.158  0.068  0.046  0.152
-        2  0.35244   0.158  1.000  0.241 -0.054  0.317
-        3  0.72927   0.068  0.241  1.000 -0.582  0.570
-        4  0.59651   0.046 -0.054 -0.582  1.000 -0.264
-        5  0.60854   0.152  0.317  0.570 -0.264  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM HESSE     STATUS=OK             31 CALLS         213 TOTAL
-                     EDM=1.65128e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.53020e+02   4.42602e-01   2.52062e-04   1.51594e-01
-   2  sg_p1        1.54031e+01   3.53933e-01   3.36012e-04   1.66253e-01
-   3  sg_p2        3.18681e+02   1.26590e+01   6.83233e-05   6.44624e-02
-   4  sg_p3        7.61417e+01   7.19114e+00   1.08292e-04  -5.75018e-01
-   5  sg_p4        9.04717e-01   1.17079e-02   5.43402e-04   6.67300e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.959e-01  2.459e-02  3.764e-01  1.438e-01  7.830e-04 
-  2.459e-02  1.253e-01  1.084e+00 -1.475e-01  1.320e-03 
-  3.764e-01  1.084e+00  1.604e+02 -5.404e+01  8.512e-02 
-  1.438e-01 -1.475e-01 -5.404e+01  5.177e+01 -2.306e-02 
-  7.830e-04  1.320e-03  8.512e-02 -2.306e-02  1.372e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20923   1.000  0.157  0.067  0.045  0.151
-        2  0.35293   0.157  1.000  0.242 -0.058  0.318
-        3  0.73547   0.067  0.242  1.000 -0.593  0.574
-        4  0.60661   0.045 -0.058 -0.593  1.000 -0.274
-        5  0.61162   0.151  0.318  0.574 -0.274  1.000
-260
-253.02 +- 0.442602
-15.4031 +- 0.353933
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5529.06 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.09302e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.84754e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.60258e+01
-   4  sg_p3        1.19103e+02   2.90000e+01  -2.50167e-01   6.51588e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55737e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM MIGRAD    STATUS=CONVERGED     276 CALLS         277 TOTAL
-                     EDM=4.33865e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.23280e-01   6.16272e-04  -2.78767e-01
-   2  sg_p1        3.47719e+00   1.26808e-01   2.66781e-03  -6.03093e-03
-   3  sg_p2        2.67513e+02   7.88309e+00   7.67886e-04  -3.32533e-01
-   4  sg_p3        3.42369e+01   3.97181e+00   1.09311e-03  -2.13224e-01
-   5  sg_p4        6.40026e-01   4.56991e-02   3.70400e-03   4.78364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.286e-03 -3.667e-02  3.860e-02  7.477e-05 
-  2.286e-03  1.610e-02  4.707e-01 -1.623e-01  3.257e-03 
- -3.667e-02  4.707e-01  6.220e+01 -2.796e+01  3.355e-01 
-  3.860e-02 -1.623e-01 -2.796e+01  1.579e+01 -1.455e-01 
-  7.477e-05  3.257e-03  3.355e-01 -1.455e-01  2.118e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20586   1.000  0.146 -0.038  0.079  0.013
-        2  0.60362   0.146  1.000  0.470 -0.322  0.558
-        3  0.95992  -0.038  0.470  1.000 -0.892  0.924
-        4  0.90004   0.079 -0.322 -0.892  1.000 -0.796
-        5  0.93542   0.013  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM HESSE     STATUS=OK             31 CALLS         308 TOTAL
-                     EDM=4.34749e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.23300e-01   1.23254e-04   9.13107e-02
-   2  sg_p1        3.47719e+00   1.27818e-01   1.06712e-04  -2.64476e-01
-   3  sg_p2        2.67513e+02   8.27292e+00   1.53577e-04   5.44068e-01
-   4  sg_p3        3.42369e+01   4.16972e+00   2.18622e-04  -9.84235e-01
-   5  sg_p4        6.40026e-01   4.75240e-02   7.40799e-04  -4.55485e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.233e-03 -4.363e-02  4.203e-02  3.794e-05 
-  2.233e-03  1.636e-02  5.114e-01 -1.832e-01  3.471e-03 
- -4.363e-02  5.114e-01  6.851e+01 -3.117e+01  3.687e-01 
-  4.203e-02 -1.832e-01 -3.117e+01  1.740e+01 -1.624e-01 
-  3.794e-05  3.471e-03  3.687e-01 -1.624e-01  2.293e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20660   1.000  0.142 -0.043  0.082  0.006
-        2  0.61186   0.142  1.000  0.483 -0.343  0.567
-        3  0.96369  -0.043  0.483  1.000 -0.903  0.930
-        4  0.90977   0.082 -0.343 -0.903  1.000 -0.813
-        5  0.94051   0.006  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.1233
-3.47719 +- 0.127818
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5643.26 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.61456e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -4.66447e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -2.40363e+01
-   4  sg_p3        1.17448e+02   2.90000e+01  -2.61968e-01   1.99273e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.86435e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=7.77109e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61021e+02   1.29098e-01   6.49909e-04  -1.01661e-02
-   2  sg_p1        3.57410e+00   1.33955e-01   2.78633e-03   8.71570e-03
-   3  sg_p2        2.69189e+02   7.27138e+00   7.50620e-04  -6.29806e-03
-   4  sg_p3        3.37078e+01   3.73722e+00   1.08346e-03   1.26302e-02
-   5  sg_p4        6.28095e-01   4.44728e-02   3.81722e-03   4.51572e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.658e-03 -2.984e-02  3.729e-02  1.239e-04 
-  2.658e-03  1.797e-02  4.694e-01 -1.655e-01  3.402e-03 
- -2.984e-02  4.694e-01  5.292e+01 -2.409e+01  2.999e-01 
-  3.729e-02 -1.655e-01 -2.409e+01  1.398e+01 -1.324e-01 
-  1.239e-04  3.402e-03  2.999e-01 -1.324e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21380   1.000  0.154 -0.032  0.077  0.021
-        2  0.61009   0.154  1.000  0.481 -0.330  0.567
-        3  0.95628  -0.032  0.481  1.000 -0.886  0.921
-        4  0.89342   0.077 -0.330 -0.886  1.000 -0.790
-        5  0.93183   0.021  0.567  0.921 -0.790  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM HESSE     STATUS=OK             31 CALLS         361 TOTAL
-                     EDM=7.78626e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61021e+02   1.29118e-01   1.29982e-04   1.02301e-01
-   2  sg_p1        3.57410e+00   1.35116e-01   1.11453e-04  -2.14592e-01
-   3  sg_p2        2.69189e+02   7.65572e+00   3.00248e-05   5.55561e-01
-   4  sg_p3        3.37078e+01   3.93737e+00   4.33384e-05  -9.90860e-01
-   5  sg_p4        6.28095e-01   4.63527e-02   1.52689e-04  -5.09360e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.595e-03 -3.703e-02  4.087e-02  8.376e-05 
-  2.595e-03  1.829e-02  5.123e-01 -1.882e-01  3.639e-03 
- -3.703e-02  5.123e-01  5.866e+01 -2.709e+01  3.317e-01 
-  4.087e-02 -1.882e-01 -2.709e+01  1.552e+01 -1.489e-01 
-  8.376e-05  3.639e-03  3.317e-01 -1.489e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21449   1.000  0.149 -0.037  0.080  0.014
-        2  0.61885   0.149  1.000  0.495 -0.353  0.576
-        3  0.96065  -0.037  0.495  1.000 -0.898  0.927
-        4  0.90455   0.080 -0.353 -0.898  1.000 -0.810
-        5  0.93751   0.014  0.576  0.927 -0.810  1.000
-260
-261.021 +- 0.129118
-3.5741 +- 0.135116
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5267.68 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -5.95437e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00   3.20402e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.99949e+01
-   4  sg_p3        1.11751e+02   2.90000e+01  -3.02882e-01  -4.35631e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.33332e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=1.65041e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60758e+02   1.21975e-01   5.95143e-04   1.08233e-01
-   2  sg_p1        3.44214e+00   1.23415e-01   2.58042e-03  -3.07927e-02
-   3  sg_p2        2.66886e+02   8.40621e+00   7.85904e-04  -8.91521e-02
-   4  sg_p3        3.45456e+01   4.21772e+00   1.11909e-03  -3.70390e-02
-   5  sg_p4        6.53607e-01   4.66834e-02   3.55052e-03   4.88918e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.239e-03 -3.126e-02  3.680e-02  1.101e-04 
-  2.239e-03  1.525e-02  4.727e-01 -1.617e-01  3.144e-03 
- -3.126e-02  4.727e-01  7.074e+01 -3.174e+01  3.661e-01 
-  3.680e-02 -1.617e-01 -3.174e+01  1.781e+01 -1.585e-01 
-  1.101e-04  3.144e-03  3.661e-01 -1.585e-01  2.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20236   1.000  0.149 -0.030  0.072  0.019
-        2  0.58940   0.149  1.000  0.455 -0.310  0.542
-        3  0.96112  -0.030  0.455  1.000 -0.894  0.926
-        4  0.90222   0.072 -0.310 -0.894  1.000 -0.799
-        5  0.93659   0.019  0.542  0.926 -0.799  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.76189e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60758e+02   1.21991e-01   1.19029e-04   7.59045e-02
-   2  sg_p1        3.44214e+00   1.24473e-01   5.16084e-04  -2.82680e-01
-   3  sg_p2        2.66886e+02   8.89789e+00   1.57181e-04   5.39785e-01
-   4  sg_p3        3.45456e+01   4.46620e+00   4.47638e-05  -9.80400e-01
-   5  sg_p4        6.53607e-01   4.88967e-02   1.42021e-04  -3.95830e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.186e-03 -3.913e-02  4.064e-02  6.994e-05 
-  2.186e-03  1.552e-02  5.207e-01 -1.864e-01  3.386e-03 
- -3.913e-02  5.207e-01  7.927e+01 -3.606e+01  4.092e-01 
-  4.064e-02 -1.864e-01 -3.606e+01  1.997e+01 -1.803e-01 
-  6.994e-05  3.386e-03  4.092e-01 -1.803e-01  2.428e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20297   1.000  0.144 -0.036  0.075  0.012
-        2  0.59871   0.144  1.000  0.470 -0.335  0.552
-        3  0.96537  -0.036  0.470  1.000 -0.906  0.933
-        4  0.91331   0.075 -0.335 -0.906  1.000 -0.819
-        5  0.94245   0.012  0.552  0.933 -0.819  1.000
-260
-260.758 +- 0.121991
-3.44214 +- 0.124473
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5338.33 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.92141e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -3.46913e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.94669e+01
-   4  sg_p3        1.15260e+02   2.90000e+01  -2.77623e-01   2.60024e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.53009e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=1.81993e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60953e+02   1.29425e-01   6.35842e-04   1.60007e-03
-   2  sg_p1        3.60691e+00   1.34289e-01   2.70753e-03   6.00340e-02
-   3  sg_p2        2.69933e+02   7.51981e+00   7.59887e-04   1.45220e-02
-   4  sg_p3        3.30610e+01   3.84505e+00   1.10949e-03  -7.50525e-02
-   5  sg_p4        6.55961e-01   4.53996e-02   3.52891e-03  -1.95435e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.675e-02  2.478e-03 -2.803e-02  3.713e-02  1.271e-04 
-  2.478e-03  1.806e-02  5.001e-01 -1.785e-01  3.521e-03 
- -2.803e-02  5.001e-01  5.660e+01 -2.561e+01  3.175e-01 
-  3.713e-02 -1.785e-01 -2.561e+01  1.480e+01 -1.399e-01 
-  1.271e-04  3.521e-03  3.175e-01 -1.399e-01  2.088e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20432   1.000  0.142 -0.029  0.075  0.021
-        2  0.61219   0.142  1.000  0.495 -0.345  0.573
-        3  0.95634  -0.029  0.495  1.000 -0.885  0.924
-        4  0.89204   0.075 -0.345 -0.885  1.000 -0.796
-        5  0.93370   0.021  0.573  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=1.90259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60953e+02   1.29442e-01   1.27168e-04   9.54629e-02
-   2  sg_p1        3.60691e+00   1.35689e-01   5.41506e-04  -1.97834e-01
-   3  sg_p2        2.69933e+02   7.93967e+00   3.03955e-05   5.60690e-01
-   4  sg_p3        3.30610e+01   4.05992e+00   4.43797e-05  -9.99053e-01
-   5  sg_p4        6.55961e-01   4.74783e-02   7.05783e-04  -3.85646e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.676e-02  2.413e-03 -3.514e-02  4.064e-02  8.764e-05 
-  2.413e-03  1.844e-02  5.501e-01 -2.046e-01  3.797e-03 
- -3.514e-02  5.501e-01  6.310e+01 -2.896e+01  3.534e-01 
-  4.064e-02 -2.046e-01 -2.896e+01  1.650e+01 -1.584e-01 
-  8.764e-05  3.797e-03  3.534e-01 -1.584e-01  2.286e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20493   1.000  0.137 -0.034  0.077  0.014
-        2  0.62260   0.137  1.000  0.510 -0.371  0.585
-        3  0.96093  -0.034  0.510  1.000 -0.897  0.930
-        4  0.90377   0.077 -0.371 -0.897  1.000 -0.816
-        5  0.93964   0.014  0.585  0.930 -0.816  1.000
-260
-260.953 +- 0.129442
-3.60691 +- 0.135689
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5550.93 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.28869e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.53562e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.85127e+01
-   4  sg_p3        1.16923e+02   2.90000e+01  -2.65719e-01   3.07224e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51841e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM MIGRAD    STATUS=CONVERGED     274 CALLS         275 TOTAL
-                     EDM=7.69222e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60915e+02   1.19244e-01   5.95259e-04   2.60414e-02
-   2  sg_p1        3.41319e+00   1.20663e-01   2.58530e-03   3.23980e-02
-   3  sg_p2        2.68923e+02   7.42025e+00   7.74450e-04   1.02102e-01
-   4  sg_p3        3.38737e+01   3.84818e+00   1.11926e-03   3.14690e-01
-   5  sg_p4        6.51986e-01   4.29286e-02   3.53695e-03   3.46225e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.303e-03 -1.721e-02  2.984e-02  1.633e-04 
-  2.303e-03  1.458e-02  4.143e-01 -1.451e-01  2.850e-03 
- -1.721e-02  4.143e-01  5.511e+01 -2.526e+01  2.945e-01 
-  2.984e-02 -1.451e-01 -2.526e+01  1.482e+01 -1.311e-01 
-  1.633e-04  2.850e-03  2.945e-01 -1.311e-01  1.865e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20941   1.000  0.160 -0.019  0.065  0.032
-        2  0.59245   0.160  1.000  0.462 -0.312  0.547
-        3  0.95480  -0.019  0.462  1.000 -0.884  0.919
-        4  0.89128   0.065 -0.312 -0.884  1.000 -0.789
-        5  0.92953   0.032  0.547  0.919 -0.789  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM HESSE     STATUS=OK             31 CALLS         306 TOTAL
-                     EDM=7.77868e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60915e+02   1.19248e-01   1.19052e-04   9.16025e-02
-   2  sg_p1        3.41319e+00   1.21507e-01   5.17060e-04  -2.97787e-01
-   3  sg_p2        2.68923e+02   7.75724e+00   1.54890e-04   5.53729e-01
-   4  sg_p3        3.38737e+01   4.02350e+00   2.23853e-04  -9.88776e-01
-   5  sg_p4        6.51986e-01   4.45034e-02   7.07389e-04  -4.02868e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.266e-03 -2.167e-02  3.206e-02  1.398e-04 
-  2.266e-03  1.478e-02  4.471e-01 -1.625e-01  3.022e-03 
- -2.167e-02  4.471e-01  6.023e+01 -2.794e+01  3.214e-01 
-  3.206e-02 -1.625e-01 -2.794e+01  1.620e+01 -1.452e-01 
-  1.398e-04  3.022e-03  3.214e-01 -1.452e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20954   1.000  0.156 -0.023  0.067  0.026
-        2  0.60000   0.156  1.000  0.474 -0.332  0.555
-        3  0.95873  -0.023  0.474  1.000 -0.894  0.925
-        4  0.90107   0.067 -0.332 -0.894  1.000 -0.805
-        5  0.93466   0.026  0.555  0.925 -0.805  1.000
-260
-260.915 +- 0.119248
-3.41319 +- 0.121507
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5158.41 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.61967e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.61061e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.77731e+01
-   4  sg_p3        1.15981e+02   2.90000e+01  -2.72457e-01   3.15087e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.44973e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM MIGRAD    STATUS=CONVERGED     308 CALLS         309 TOTAL
-                     EDM=5.20485e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.27328e-01   6.14172e-04  -1.42304e-01
-   2  sg_p1        3.47672e+00   1.30824e-01   2.65500e-03  -1.69927e-02
-   3  sg_p2        2.67457e+02   8.15515e+00   7.65940e-04  -5.24312e-02
-   4  sg_p3        3.41797e+01   4.10175e+00   1.09416e-03  -2.88607e-03
-   5  sg_p4        6.41502e-01   4.72632e-02   3.67010e-03   1.46000e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.621e-02  2.418e-03 -4.005e-02  4.151e-02  7.448e-05 
-  2.418e-03  1.714e-02  5.016e-01 -1.724e-01  3.472e-03 
- -4.005e-02  5.016e-01  6.658e+01 -2.986e+01  3.591e-01 
-  4.151e-02 -1.724e-01 -2.986e+01  1.684e+01 -1.554e-01 
-  7.448e-05  3.472e-03  3.591e-01 -1.554e-01  2.267e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20516   1.000  0.145 -0.039  0.079  0.012
-        2  0.60288   0.145  1.000  0.470 -0.321  0.557
-        3  0.95995  -0.039  0.470  1.000 -0.892  0.924
-        4  0.89989   0.079 -0.321 -0.892  1.000 -0.795
-        5  0.93542   0.012  0.557  0.924 -0.795  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM HESSE     STATUS=OK             31 CALLS         340 TOTAL
-                     EDM=5.2061e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.27350e-01   1.22834e-04   9.13271e-02
-   2  sg_p1        3.47672e+00   1.31905e-01   5.30999e-04  -2.64719e-01
-   3  sg_p2        2.67457e+02   8.59468e+00   1.53188e-04   5.43682e-01
-   4  sg_p3        3.41797e+01   4.32549e+00   4.37665e-05  -9.84949e-01
-   5  sg_p4        6.41502e-01   4.93072e-02   1.46804e-04  -4.48919e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.622e-02  2.353e-03 -4.855e-02  4.568e-02  2.931e-05 
-  2.353e-03  1.743e-02  5.482e-01 -1.965e-01  3.716e-03 
- -4.855e-02  5.482e-01  7.395e+01 -3.362e+01  3.979e-01 
-  4.568e-02 -1.965e-01 -3.362e+01  1.873e+01 -1.751e-01 
-  2.931e-05  3.716e-03  3.979e-01 -1.751e-01  2.471e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20598   1.000  0.140 -0.044  0.083  0.005
-        2  0.61146   0.140  1.000  0.483 -0.344  0.566
-        3  0.96402  -0.044  0.483  1.000 -0.903  0.931
-        4  0.91049   0.083 -0.344 -0.903  1.000 -0.814
-        5  0.94091   0.005  0.566  0.931 -0.814  1.000
-260
-260.912 +- 0.12735
-3.47672 +- 0.131905
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5919.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.57817e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -2.03212e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.98859e+01
-   4  sg_p3        1.17412e+02   2.90000e+01  -2.62219e-01   4.12643e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.69751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=2.6578e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.19425e-01   6.16849e-04  -2.18136e-01
-   2  sg_p1        3.47734e+00   1.22978e-01   2.67008e-03  -4.00164e-03
-   3  sg_p2        2.67522e+02   7.63977e+00   7.68027e-04   8.93806e-02
-   4  sg_p3        3.43314e+01   3.85522e+00   1.09374e-03   1.59575e-01
-   5  sg_p4        6.38280e-01   4.42553e-02   3.71607e-03  -5.05369e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.426e-02  2.165e-03 -3.368e-02  3.602e-02  7.485e-05 
-  2.165e-03  1.514e-02  4.429e-01 -1.530e-01  3.060e-03 
- -3.368e-02  4.429e-01  5.842e+01 -2.630e+01  3.147e-01 
-  3.602e-02 -1.530e-01 -2.630e+01  1.487e+01 -1.367e-01 
-  7.485e-05  3.060e-03  3.147e-01 -1.367e-01  1.985e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20661   1.000  0.147 -0.037  0.078  0.014
-        2  0.60439   0.147  1.000  0.471 -0.322  0.558
-        3  0.95995  -0.037  0.471  1.000 -0.892  0.924
-        4  0.90013   0.078 -0.322 -0.892  1.000 -0.796
-        5  0.93549   0.014  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=2.80959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.19444e-01   1.23370e-04   9.13304e-02
-   2  sg_p1        3.47734e+00   1.23908e-01   1.06803e-04  -2.64402e-01
-   3  sg_p2        2.67522e+02   8.01092e+00   1.53605e-04   5.44131e-01
-   4  sg_p3        3.43314e+01   4.04488e+00   2.18748e-04  -9.83058e-01
-   5  sg_p4        6.38280e-01   4.59835e-02   1.48643e-04  -4.63274e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.427e-02  2.115e-03 -4.024e-02  3.926e-02  4.011e-05 
-  2.115e-03  1.537e-02  4.799e-01 -1.722e-01  3.254e-03 
- -4.024e-02  4.799e-01  6.424e+01 -2.927e+01  3.453e-01 
-  3.926e-02 -1.722e-01 -2.927e+01  1.637e+01 -1.524e-01 
-  4.011e-05  3.254e-03  3.453e-01 -1.524e-01  2.145e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20733   1.000  0.143 -0.042  0.081  0.007
-        2  0.61221   0.143  1.000  0.483 -0.343  0.567
-        3  0.96365  -0.042  0.483  1.000 -0.903  0.930
-        4  0.90974   0.081 -0.343 -0.903  1.000 -0.813
-        5  0.94046   0.007  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.119444
-3.47734 +- 0.123908
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 260.912 +- 0.1233 (stat) - 0.153523 + 0.10939 (syst); -0.165439/+0.125566 (total)
-   Uncertainty on sg_p1 = 3.47719 +- 0.127818 (stat) - 0.064005 + 0.129714 (syst); -0.0904489/+0.144603 (total)
-   Uncertainty on sg_p2 = 267.513 +- 8.27292 (stat) - 0.627396 + 2.41961 (syst); -4.18377/+4.79216 (total)
-   Uncertainty on sg_p3 = 34.2369 +- 4.16972 (stat) - 1.17594 + 0.308663 (syst); -2.39363/+2.10758 (total)
-   Uncertainty on sg_p4 = 0.640026 +- 0.047524 (stat) - 0.0119301 + 0.0159351 (syst); -0.0265887/+0.0286105 (total) 
-   === Baseline plot === </br>
-   norm = 191.924
-JEC     lnN   1.01807  -
-JER     lnN   1.02103  -
-btag    lnN   1.06823  -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt
deleted file mode 100644
index eaf4b66..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_1_285_624/signal270_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_1_285_624/signal270_sig.log
deleted file mode 100644
index b10d87d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_1_285_624/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt
deleted file mode 100644
index 701d69f..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_252_330/signal270_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_252_330/signal270_sig.log
deleted file mode 100644
index bbd93fb..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_crystal_252_330/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt
deleted file mode 100644
index 05b68a6..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_gaus_exp_252_330/signal270_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_gaus_exp_252_330/signal270_sig.log
deleted file mode 100644
index 8555624..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_gaus_exp_252_330/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_novo_285_624/datacard_270_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_novo_285_624/datacard_270_novo_285_624.txt
deleted file mode 100644
index 8248a5a..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_novo_285_624/datacard_270_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_novo_285_624/signal270_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_novo_285_624/signal270_sig.log
deleted file mode 100644
index 7226332..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_270_novo_285_624/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt
deleted file mode 100644
index 7be44c6..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_1_285_624/signal300_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_1_285_624/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_1_285_624/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt
deleted file mode 100644
index 95360f0..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_252_330/signal300_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_252_330/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_crystal_252_330/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt
deleted file mode 100644
index e0684c6..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_gaus_exp_252_330/signal300_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_gaus_exp_252_330/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_gaus_exp_252_330/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt
deleted file mode 100644
index 4007fed..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_novo_285_624/signal300_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_novo_285_624/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_300_novo_285_624/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt
deleted file mode 100644
index 66e6cac..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_1_285_624/signal350_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_1_285_624/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_1_285_624/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_252_330/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt
deleted file mode 100644
index 6824fb1..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_252_330/signal350_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_252_330/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_crystal_252_330/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt
deleted file mode 100644
index ead162c..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_gaus_exp_252_330/signal350_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_gaus_exp_252_330/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_gaus_exp_252_330/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt
deleted file mode 100644
index 74b581a..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_novo_285_624/signal350_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_novo_285_624/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_350_novo_285_624/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt
deleted file mode 100644
index 21ca104..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  790.651 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06523    -
-JER       lnN     1.01925   - 
-JEC       lnN     1.00381   -
-trigger   lnN     1.10    -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_crystal_1_285_624/signal400_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_crystal_1_285_624/signal400_sig.log
deleted file mode 100644
index 9acbb71..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_crystal_1_285_624/signal400_sig.log
+++ /dev/null
@@ -1,869 +0,0 @@
-
-Processing test.c...
-nSignal_init = 299800
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33249 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.15243e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   1.37205e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.80805e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.17737e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.38307e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=1.96152e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.85506e+02   3.78343e-01   1.28380e-03  -1.79696e-02
-   2  sg_p1        2.16205e+01   3.35235e-01   1.80013e-03  -1.11987e-02
-   3  sg_p2        3.70000e+02   1.32448e-01   9.45540e-03** at limit **
-   4  sg_p3        6.22011e+01   2.14887e+00   4.32821e-03   3.71767e-02
-   5  sg_p4        7.86673e-01   1.32740e-02   2.60376e-03  -4.77327e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.431e-01 -3.809e-02 -1.363e-08 -2.470e-01 -1.694e-03 
- -3.809e-02  1.124e-01  1.303e-09  3.035e-01  2.581e-03 
- -1.363e-08  1.303e-09  4.343e-10  9.091e-11 -1.595e-10 
- -2.470e-01  3.035e-01  9.091e-11  4.621e+00  1.948e-02 
- -1.694e-03  2.581e-03 -1.595e-10  1.948e-02  1.763e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37324   1.000 -0.300 -0.002 -0.304 -0.337
-        2  0.59095  -0.300  1.000  0.000  0.421  0.580
-        3  0.00218  -0.002  0.000  1.000  0.000 -0.001
-        4  0.68717  -0.304  0.421  0.000  1.000  0.682
-        5  0.75833  -0.337  0.580 -0.001  0.682  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM HESSE     STATUS=OK             31 CALLS         195 TOTAL
-                     EDM=1.96284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.85506e+02   3.78550e-01   5.13518e-05  -2.74710e-01
-   2  sg_p1        2.16205e+01   3.35880e-01   7.20051e-05   6.51457e-03
-   3  sg_p2        3.70000e+02   1.32456e-01   1.89108e-03  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.22011e+01   2.15536e+00   1.73128e-04   1.60716e-01
-   5  sg_p4        7.86673e-01   1.33169e-02   5.20752e-04   6.10583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.433e-01 -3.844e-02 -2.714e-09 -2.490e-01 -1.705e-03 
- -3.844e-02  1.128e-01  2.582e-10  3.070e-01  2.603e-03 
- -2.714e-09  2.582e-10  4.343e-10  2.856e-11 -3.187e-11 
- -2.490e-01  3.070e-01  2.856e-11  4.649e+00  1.966e-02 
- -1.705e-03  2.603e-03 -3.187e-11  1.966e-02  1.774e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37450   1.000 -0.302 -0.000 -0.305 -0.338
-        2  0.59306  -0.302  1.000  0.000  0.424  0.582
-        3  0.00043  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68946  -0.305  0.424  0.000  1.000  0.685
-        5  0.76013  -0.338  0.582 -0.000  0.685  1.000
-400
-385.506 +- 0.37855
-21.6205 +- 0.33588
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33081 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   1.81151e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.25726e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.70388e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.66591e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.95873e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM MIGRAD    STATUS=CONVERGED     160 CALLS         161 TOTAL
-                     EDM=5.64365e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.87437e+02   3.85764e-01   1.26589e-03  -5.15663e-01
-   2  sg_p1        2.16839e+01   3.35523e-01   1.79115e-03   1.07532e-01
-   3  sg_p2        3.70000e+02   1.39833e-01   9.73370e-03** at limit **
-   4  sg_p3        6.08508e+01   2.10095e+00   4.12758e-03   3.24347e-02
-   5  sg_p4        7.89007e-01   1.33639e-02   2.62549e-03  -2.60744e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-01 -4.305e-02 -2.519e-07 -2.764e-01 -1.946e-03 
- -4.305e-02  1.126e-01 -9.366e-09  3.008e-01  2.619e-03 
- -2.519e-07 -9.366e-09  1.704e-07 -3.173e-07 -6.072e-09 
- -2.764e-01  3.008e-01 -3.173e-07  4.417e+00  1.920e-02 
- -1.946e-03  2.619e-03 -6.072e-09  1.920e-02  1.787e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41597   1.000 -0.333 -0.002 -0.341 -0.377
-        2  0.59692  -0.333  1.000 -0.000  0.427  0.584
-        3  0.00247  -0.002 -0.000  1.000 -0.000 -0.001
-        4  0.68971  -0.341  0.427 -0.000  1.000  0.684
-        5  0.76090  -0.377  0.584 -0.001  0.684  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM HESSE     STATUS=OK             31 CALLS         192 TOTAL
-                     EDM=5.65901e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.87437e+02   3.86035e-01   2.53178e-04  -2.17803e-01
-   2  sg_p1        2.16839e+01   3.36156e-01   7.16461e-05   9.94233e-03
-   3  sg_p2        3.70000e+02   1.39842e-01   1.94674e-03  -1.57091e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.08508e+01   2.10696e+00   1.65103e-04   1.30388e-01
-   5  sg_p4        7.89007e-01   1.34047e-02   5.25097e-04   6.16292e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.490e-01 -4.342e-02 -4.545e-08 -2.786e-01 -1.959e-03 
- -4.342e-02  1.130e-01 -1.794e-09  3.041e-01  2.641e-03 
- -4.545e-08 -1.794e-09  1.704e-07 -5.759e-08 -1.102e-09 
- -2.786e-01  3.041e-01 -5.759e-08  4.443e+00  1.938e-02 
- -1.959e-03  2.641e-03 -1.102e-09  1.938e-02  1.798e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41736   1.000 -0.335 -0.000 -0.342 -0.378
-        2  0.59895  -0.335  1.000 -0.000  0.429  0.586
-        3  0.00045  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.69187  -0.342  0.429 -0.000  1.000  0.686
-        5  0.76259  -0.378  0.586 -0.000  0.686  1.000
-400
-387.437 +- 0.386035
-21.6839 +- 0.336156
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33253.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.45970e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.71903e+00
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.91853e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -8.75244e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.55185e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=3.35227e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.83669e+02   3.75050e-01   1.31711e-03   2.71422e-01
-   2  sg_p1        2.15657e+01   3.35007e-01   1.81860e-03   2.93721e-01
-   3  sg_p2        3.70000e+02   1.18706e-01   8.94035e-03** at limit **
-   4  sg_p3        6.23837e+01   2.11611e+00   4.26491e-03   6.14124e-02
-   5  sg_p4        7.79157e-01   1.33723e-02   2.61066e-03  -1.92762e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.407e-01 -3.293e-02 -8.781e-08 -2.099e-01 -1.470e-03 
- -3.293e-02  1.122e-01  1.601e-08  2.882e-01  2.545e-03 
- -8.781e-08  1.601e-08  1.802e-08  1.177e-07 -2.465e-10 
- -2.099e-01  2.882e-01  1.177e-07  4.481e+00  1.922e-02 
- -1.470e-03  2.545e-03 -2.465e-10  1.922e-02  1.789e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32654   1.000 -0.262 -0.002 -0.264 -0.293
-        2  0.57704  -0.262  1.000  0.000  0.406  0.568
-        3  0.00196  -0.002  0.000  1.000  0.000 -0.000
-        4  0.68265  -0.264  0.406  0.000  1.000  0.679
-        5  0.75308  -0.293  0.568 -0.000  0.679  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM HESSE     STATUS=OK             31 CALLS         190 TOTAL
-                     EDM=3.3512e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.83669e+02   3.75180e-01   2.63421e-04  -3.29696e-01
-   2  sg_p1        2.15657e+01   3.35505e-01   3.63719e-04   3.55092e-03
-   3  sg_p2        3.70000e+02   1.18712e-01   1.78807e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.23837e+01   2.12217e+00   1.70597e-04   1.64828e-01
-   5  sg_p4        7.79157e-01   1.34121e-02   5.22132e-04   5.92353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.408e-01 -3.318e-02 -1.693e-08 -2.114e-01 -1.478e-03 
- -3.318e-02  1.126e-01  3.095e-09  2.911e-01  2.564e-03 
- -1.693e-08  3.095e-09  1.803e-08  2.290e-08 -4.701e-11 
- -2.114e-01  2.911e-01  2.290e-08  4.507e+00  1.940e-02 
- -1.478e-03  2.564e-03 -4.701e-11  1.940e-02  1.799e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32749   1.000 -0.264 -0.000 -0.265 -0.294
-        2  0.57875  -0.264  1.000  0.000  0.409  0.570
-        3  0.00038  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68487  -0.265  0.409  0.000  1.000  0.681
-        5  0.75478  -0.294  0.570 -0.000  0.681  1.000
-400
-383.669 +- 0.37518
-21.5657 +- 0.335505
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24472.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.05856e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.09033e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.48368e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.94112e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.96270e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM MIGRAD    STATUS=CONVERGED     509 CALLS         510 TOTAL
-                     EDM=2.5866e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03031e+02   2.26519e-01   7.06422e-04  -6.24953e-01
-   2  sg_p1        9.12153e+00   3.63993e-01   2.95185e-03  -8.05301e-02
-   3  sg_p2        3.99298e+02   7.10621e-01   6.21816e-04   1.57926e-02
-   4  sg_p3        2.14947e+01   1.13267e+00   1.39396e-03  -1.73297e-02
-   5  sg_p4        6.42062e-01   4.06347e-02   2.84361e-03   2.63915e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.131e-02 -2.172e-02  2.774e-02 -8.091e-02 -2.646e-03 
- -2.172e-02  1.327e-01  1.233e-01  3.176e-01  1.317e-02 
-  2.774e-02  1.233e-01  5.050e-01  3.697e-01  1.525e-02 
- -8.091e-02  3.176e-01  3.697e-01  1.283e+00  4.116e-02 
- -2.646e-03  1.317e-02  1.525e-02  4.116e-02  1.655e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49329   1.000 -0.263  0.172 -0.315 -0.287
-        2  0.89097  -0.263  1.000  0.476  0.770  0.889
-        3  0.62717   0.172  0.476  1.000  0.459  0.527
-        4  0.89690  -0.315  0.770  0.459  1.000  0.893
-        5  0.94977  -0.287  0.889  0.527  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM HESSE     STATUS=OK             31 CALLS         541 TOTAL
-                     EDM=2.57939e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03031e+02   2.26798e-01   1.41284e-04   1.01207e-01
-   2  sg_p1        9.12153e+00   3.64169e-01   5.90369e-04   2.02560e-02
-   3  sg_p2        3.99298e+02   7.06750e-01   2.48726e-05   2.54828e+00
-   4  sg_p3        2.14947e+01   1.13406e+00   5.57583e-05  -9.89569e-01
-   5  sg_p4        6.42062e-01   4.06652e-02   5.68723e-04   2.88093e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.144e-02 -2.202e-02  2.804e-02 -8.193e-02 -2.679e-03 
- -2.202e-02  1.328e-01  1.208e-01  3.183e-01  1.319e-02 
-  2.804e-02  1.208e-01  4.995e-01  3.614e-01  1.495e-02 
- -8.193e-02  3.183e-01  3.614e-01  1.286e+00  4.125e-02 
- -2.679e-03  1.319e-02  1.495e-02  4.125e-02  1.658e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49518   1.000 -0.266  0.175 -0.319 -0.290
-        2  0.89108  -0.266  1.000  0.469  0.770  0.889
-        3  0.62183   0.175  0.469  1.000  0.451  0.520
-        4  0.89717  -0.319  0.770  0.451  1.000  0.893
-        5  0.94985  -0.290  0.889  0.520  0.893  1.000
-400
-403.031 +- 0.226798
-9.12153 +- 0.364169
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24696.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.50567e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.99560e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.90457e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.28000e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50850e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM MIGRAD    STATUS=CONVERGED     461 CALLS         462 TOTAL
-                     EDM=2.05098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03536e+02   2.36042e-01   7.27613e-04   1.38133e-01
-   2  sg_p1        9.26052e+00   3.88073e-01   3.03064e-03   3.06014e-03
-   3  sg_p2        3.99846e+02   7.05843e-01   6.16081e-04   4.24773e-01
-   4  sg_p3        2.13604e+01   1.14532e+00   1.37198e-03   1.42343e-01
-   5  sg_p4        6.36255e-01   4.36783e-02   2.89979e-03  -2.83285e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.572e-02 -2.634e-02  2.796e-02 -9.283e-02 -3.232e-03 
- -2.634e-02  1.508e-01  1.325e-01  3.480e-01  1.525e-02 
-  2.796e-02  1.325e-01  4.982e-01  3.683e-01  1.636e-02 
- -9.283e-02  3.480e-01  3.683e-01  1.312e+00  4.510e-02 
- -3.232e-03  1.525e-02  1.636e-02  4.510e-02  1.913e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.51806   1.000 -0.287  0.168 -0.343 -0.313
-        2  0.90009  -0.287  1.000  0.483  0.782  0.898
-        3  0.63614   0.168  0.483  1.000  0.456  0.530
-        4  0.90455  -0.343  0.782  0.456  1.000  0.900
-        5  0.95487  -0.313  0.898  0.530  0.900  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM HESSE     STATUS=OK             31 CALLS         493 TOTAL
-                     EDM=2.03888e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03536e+02   2.36409e-01   1.45523e-04   1.18130e-01
-   2  sg_p1        9.26052e+00   3.89977e-01   1.21225e-04   4.34340e-02
-   3  sg_p2        3.99846e+02   7.03519e-01   1.23216e-04   2.54251e+00
-   4  sg_p3        2.13604e+01   1.15130e+00   5.48791e-05  -9.93073e-01
-   5  sg_p4        6.36255e-01   4.39145e-02   5.79958e-04   2.76000e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.589e-02 -2.689e-02  2.803e-02 -9.446e-02 -3.293e-03 
- -2.689e-02  1.523e-01  1.317e-01  3.524e-01  1.543e-02 
-  2.803e-02  1.317e-01  4.949e-01  3.651e-01  1.624e-02 
- -9.446e-02  3.524e-01  3.651e-01  1.326e+00  4.564e-02 
- -3.293e-03  1.543e-02  1.624e-02  4.564e-02  1.934e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.52024   1.000 -0.291  0.169 -0.347 -0.317
-        2  0.90112  -0.291  1.000  0.480  0.784  0.899
-        3  0.63303   0.169  0.480  1.000  0.451  0.525
-        4  0.90559  -0.347  0.784  0.451  1.000  0.901
-        5  0.95536  -0.317  0.899  0.525  0.901  1.000
-400
-403.536 +- 0.236409
-9.26052 +- 0.389977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24015.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.73383e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.14601e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.01620e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.59452e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.70364e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM MIGRAD    STATUS=CONVERGED     571 CALLS         572 TOTAL
-                     EDM=2.11975e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02655e+02   2.13288e-01   6.62907e-04  -4.46168e-01
-   2  sg_p1        9.23949e+00   3.37872e-01   2.75680e-03  -1.32311e-01
-   3  sg_p2        3.98219e+02   8.68178e-01   7.02928e-04   2.98040e-01
-   4  sg_p3        2.22778e+01   1.33749e+00   1.59705e-03  -1.34034e-01
-   5  sg_p4        6.87624e-01   3.80009e-02   2.77016e-03   9.90234e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.549e-02 -1.871e-02  2.077e-02 -9.028e-02 -2.314e-03 
- -1.871e-02  1.143e-01  1.614e-01  3.481e-01  1.139e-02 
-  2.077e-02  1.614e-01  7.538e-01  6.352e-01  2.015e-02 
- -9.028e-02  3.481e-01  6.352e-01  1.790e+00  4.538e-02 
- -2.314e-03  1.139e-02  2.015e-02  4.538e-02  1.447e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48247   1.000 -0.259  0.112 -0.316 -0.285
-        2  0.88740  -0.259  1.000  0.550  0.770  0.886
-        3  0.68165   0.112  0.550  1.000  0.547  0.610
-        4  0.89573  -0.316  0.770  0.547  1.000  0.892
-        5  0.94802  -0.285  0.886  0.610  0.892  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM HESSE     STATUS=OK             31 CALLS         603 TOTAL
-                     EDM=2.11621e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02655e+02   2.13549e-01   1.32581e-04   8.86008e-02
-   2  sg_p1        9.23949e+00   3.38145e-01   5.51360e-04   3.99260e-02
-   3  sg_p2        3.98219e+02   8.63799e-01   1.40586e-04   2.55955e+00
-   4  sg_p3        2.22778e+01   1.33974e+00   6.38820e-05  -9.69500e-01
-   5  sg_p4        6.87624e-01   3.80543e-02   5.54033e-04   3.84665e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.560e-02 -1.897e-02  2.093e-02 -9.145e-02 -2.344e-03 
- -1.897e-02  1.145e-01  1.594e-01  3.492e-01  1.142e-02 
-  2.093e-02  1.594e-01  7.462e-01  6.264e-01  1.990e-02 
- -9.145e-02  3.492e-01  6.264e-01  1.796e+00  4.554e-02 
- -2.344e-03  1.142e-02  1.990e-02  4.554e-02  1.451e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48441   1.000 -0.263  0.113 -0.320 -0.288
-        2  0.88760  -0.263  1.000  0.545  0.770  0.886
-        3  0.67765   0.113  0.545  1.000  0.541  0.605
-        4  0.89610  -0.320  0.770  0.541  1.000  0.892
-        5  0.94817  -0.288  0.886  0.605  0.892  1.000
-400
-402.655 +- 0.213549
-9.23949 +- 0.338145
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23933.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.00563e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.26149e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.57290e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.98719e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.58184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23482 FROM MIGRAD    STATUS=CONVERGED     425 CALLS         426 TOTAL
-                     EDM=1.98551e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03064e+02   2.30766e-01   4.51369e-05   5.86157e-01
-   2  sg_p1        9.18055e+00   3.67314e-01  -4.43730e-04   8.55470e-03
-   3  sg_p2        3.99566e+02   7.08192e-01  -8.00128e-05  -4.66991e-01
-   4  sg_p3        2.13892e+01   1.12890e+00   4.69804e-04  -1.79727e-01
-   5  sg_p4        6.36669e-01   4.03843e-02   7.38905e-05   1.36445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.325e-02 -2.904e-02  2.726e-02 -9.686e-02 -3.527e-03 
- -2.904e-02  1.351e-01  1.202e-01  3.188e-01  1.315e-02 
-  2.726e-02  1.202e-01  5.015e-01  3.501e-01  1.456e-02 
- -9.686e-02  3.188e-01  3.501e-01  1.275e+00  4.101e-02 
- -3.527e-03  1.315e-02  1.456e-02  4.101e-02  1.635e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.56644   1.000 -0.342  0.167 -0.372 -0.378
-        2  0.88731  -0.342  1.000  0.462  0.768  0.885
-        3  0.64043   0.167  0.462  1.000  0.438  0.509
-        4  0.90083  -0.372  0.768  0.438  1.000  0.898
-        5  0.95189  -0.378  0.885  0.509  0.898  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23482 FROM HESSE     STATUS=OK             35 CALLS         461 TOTAL
-                     EDM=5.54045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03064e+02   2.33269e-01   7.19455e-04   1.02309e-01
-   2  sg_p1        9.18055e+00   3.92591e-01   3.01012e-03   3.00958e-02
-   3  sg_p2        3.99566e+02   7.11832e-01   6.13401e-04   2.54546e+00
-   4  sg_p3        2.13892e+01   1.16905e+00   1.37125e-03  -9.92320e-01
-   5  sg_p4        6.36669e-01   4.39485e-02   2.87997e-03   2.76861e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.442e-02 -2.298e-02  3.133e-02 -8.326e-02 -2.828e-03 
- -2.298e-02  1.543e-01  1.349e-01  3.609e-01  1.554e-02 
-  3.133e-02  1.349e-01  5.067e-01  3.816e-01  1.648e-02 
- -8.326e-02  3.609e-01  3.816e-01  1.367e+00  4.638e-02 
- -2.828e-03  1.554e-02  1.648e-02  4.638e-02  1.937e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49395   1.000 -0.251  0.189 -0.305 -0.275
-        2  0.90095  -0.251  1.000  0.482  0.786  0.899
-        3  0.63094   0.189  0.482  1.000  0.459  0.526
-        4  0.90514  -0.305  0.786  0.459  1.000  0.901
-        5  0.95480  -0.275  0.899  0.526  0.901  1.000
-400
-403.064 +- 0.233269
-9.18055 +- 0.392591
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24885.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.11264e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.79480e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39340e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.92985e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.63355e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM MIGRAD    STATUS=CONVERGED     428 CALLS         429 TOTAL
-                     EDM=7.26443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02955e+02   2.19114e-01   6.87184e-04  -4.52991e-01
-   2  sg_p1        9.16571e+00   3.57674e-01   2.86480e-03  -1.28599e-01
-   3  sg_p2        3.99199e+02   7.40925e-01   6.46031e-04   5.84783e-01
-   4  sg_p3        2.16431e+01   1.21207e+00   1.45003e-03  -5.04696e-01
-   5  sg_p4        6.62907e-01   4.05793e-02   2.83164e-03   1.71367e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.801e-02 -2.192e-02  2.514e-02 -8.718e-02 -2.692e-03 
- -2.192e-02  1.281e-01  1.292e-01  3.393e-01  1.300e-02 
-  2.514e-02  1.292e-01  5.490e-01  4.252e-01  1.618e-02 
- -8.718e-02  3.393e-01  4.252e-01  1.470e+00  4.429e-02 
- -2.692e-03  1.300e-02  1.618e-02  4.429e-02  1.651e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49883   1.000 -0.280  0.155 -0.328 -0.302
-        2  0.89599  -0.280  1.000  0.487  0.782  0.894
-        3  0.63326   0.155  0.487  1.000  0.473  0.538
-        4  0.90259  -0.328  0.782  0.473  1.000  0.899
-        5  0.95237  -0.302  0.894  0.538  0.899  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM HESSE     STATUS=OK             31 CALLS         460 TOTAL
-                     EDM=7.27657e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02955e+02   2.19385e-01   1.37437e-04   9.86503e-02
-   2  sg_p1        9.16571e+00   3.58424e-01   5.72960e-04   2.76226e-02
-   3  sg_p2        3.99199e+02   7.37765e-01   1.29206e-04   2.54932e+00
-   4  sg_p3        2.16431e+01   1.21551e+00   2.90006e-04  -9.85719e-01
-   5  sg_p4        6.62907e-01   4.06836e-02   5.66328e-04   3.31874e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.813e-02 -2.225e-02  2.533e-02 -8.836e-02 -2.729e-03 
- -2.225e-02  1.286e-01  1.275e-01  3.414e-01  1.307e-02 
-  2.533e-02  1.275e-01  5.443e-01  4.191e-01  1.598e-02 
- -8.836e-02  3.414e-01  4.191e-01  1.478e+00  4.455e-02 
- -2.729e-03  1.307e-02  1.598e-02  4.455e-02  1.659e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50069   1.000 -0.283  0.157 -0.331 -0.305
-        2  0.89645  -0.283  1.000  0.482  0.783  0.895
-        3  0.62918   0.157  0.482  1.000  0.467  0.532
-        4  0.90317  -0.331  0.783  0.467  1.000  0.900
-        5  0.95262  -0.305  0.895  0.532  0.900  1.000
-400
-402.955 +- 0.219385
-9.16571 +- 0.358424
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22933.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.87100e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.93992e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39002e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.82300e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50242e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM MIGRAD    STATUS=CONVERGED     449 CALLS         450 TOTAL
-                     EDM=1.18063e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.33943e-01   7.06213e-04   9.04520e-02
-   2  sg_p1        9.10686e+00   3.76352e-01   2.94856e-03  -2.29097e-02
-   3  sg_p2        3.99344e+02   7.27483e-01   6.18170e-04  -1.42732e-01
-   4  sg_p3        2.14204e+01   1.15968e+00   1.38769e-03   7.24703e-02
-   5  sg_p4        6.41123e-01   4.21101e-02   2.84478e-03  -3.40374e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.473e-02 -2.306e-02  3.001e-02 -8.509e-02 -2.816e-03 
- -2.306e-02  1.418e-01  1.295e-01  3.363e-01  1.412e-02 
-  3.001e-02  1.295e-01  5.292e-01  3.838e-01  1.605e-02 
- -8.509e-02  3.363e-01  3.838e-01  1.345e+00  4.369e-02 
- -2.816e-03  1.412e-02  1.605e-02  4.369e-02  1.778e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49289   1.000 -0.262  0.176 -0.314 -0.285
-        2  0.89116  -0.262  1.000  0.473  0.770  0.889
-        3  0.62460   0.176  0.473  1.000  0.455  0.523
-        4  0.89709  -0.314  0.770  0.455  1.000  0.893
-        5  0.94991  -0.285  0.889  0.523  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM HESSE     STATUS=OK             31 CALLS         481 TOTAL
-                     EDM=1.18704e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.34247e-01   1.41243e-04   1.01255e-01
-   2  sg_p1        9.10686e+00   3.78028e-01   1.17943e-04   1.78107e-02
-   3  sg_p2        3.99344e+02   7.25174e-01   1.23634e-04   2.54779e+00
-   4  sg_p3        2.14204e+01   1.16522e+00   5.55076e-05  -9.91505e-01
-   5  sg_p4        6.41123e-01   4.23208e-02   5.68957e-04   2.86134e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.487e-02 -2.352e-02  3.007e-02 -8.655e-02 -2.868e-03 
- -2.352e-02  1.431e-01  1.286e-01  3.403e-01  1.427e-02 
-  3.007e-02  1.286e-01  5.259e-01  3.804e-01  1.593e-02 
- -8.655e-02  3.403e-01  3.804e-01  1.358e+00  4.417e-02 
- -2.868e-03  1.427e-02  1.593e-02  4.417e-02  1.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49488   1.000 -0.265  0.177 -0.317 -0.289
-        2  0.89218  -0.265  1.000  0.469  0.772  0.890
-        3  0.62148   0.177  0.469  1.000  0.450  0.519
-        4  0.89813  -0.317  0.772  0.450  1.000  0.894
-        5  0.95042  -0.289  0.890  0.519  0.894  1.000
-400
-403.032 +- 0.234247
-9.10686 +- 0.378028
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26088.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.25521e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.24913e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.58204e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.06494e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.44374e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.85098 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (43592.9) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=411.751, sg_p1=10.1393, sg_p2=221.646, sg_p3=12.3173, sg_p4=0.392797
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=352.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=355.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=358.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=361.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=364.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=367.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=370.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=373.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=376.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=379.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=382.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=385.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-    ... (remaining 23 messages suppressed)
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM MIGRAD    STATUS=CONVERGED     410 CALLS         411 TOTAL
-                     EDM=8.53169e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.19508e-01   7.06641e-04   2.77604e-01
-   2  sg_p1        9.13654e+00   3.52245e-01   2.95146e-03   6.85002e-02
-   3  sg_p2        3.99251e+02   6.94391e-01   6.24869e-04  -5.23482e-02
-   4  sg_p3        2.15673e+01   1.10701e+00   1.40379e-03   1.05606e-01
-   5  sg_p4        6.42963e-01   3.92422e-02   2.83913e-03  -5.31174e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.818e-02 -2.053e-02  2.561e-02 -7.720e-02 -2.495e-03 
- -2.053e-02  1.242e-01  1.174e-01  3.004e-01  1.231e-02 
-  2.561e-02  1.174e-01  4.822e-01  3.562e-01  1.450e-02 
- -7.720e-02  3.004e-01  3.562e-01  1.226e+00  3.884e-02 
- -2.495e-03  1.231e-02  1.450e-02  3.884e-02  1.543e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49407   1.000 -0.265  0.168 -0.318 -0.289
-        2  0.89076  -0.265  1.000  0.480  0.770  0.889
-        3  0.62968   0.168  0.480  1.000  0.463  0.531
-        4  0.89677  -0.318  0.770  0.463  1.000  0.893
-        5  0.94966  -0.289  0.889  0.531  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM HESSE     STATUS=OK             31 CALLS         442 TOTAL
-                     EDM=8.53668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.19804e-01   1.41328e-04   1.01235e-01
-   2  sg_p1        9.13654e+00   3.53820e-01   1.18058e-04   2.27585e-02
-   3  sg_p2        3.99251e+02   6.92171e-01   1.24974e-04   2.54877e+00
-   4  sg_p3        2.15673e+01   1.11233e+00   5.61518e-05  -9.87685e-01
-   5  sg_p4        6.42963e-01   3.94399e-02   5.67827e-04   2.89973e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.831e-02 -2.094e-02  2.565e-02 -7.854e-02 -2.542e-03 
- -2.094e-02  1.253e-01  1.167e-01  3.040e-01  1.244e-02 
-  2.565e-02  1.167e-01  4.791e-01  3.532e-01  1.440e-02 
- -7.854e-02  3.040e-01  3.532e-01  1.238e+00  3.927e-02 
- -2.542e-03  1.244e-02  1.440e-02  3.927e-02  1.559e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49612   1.000 -0.269  0.169 -0.321 -0.293
-        2  0.89179  -0.269  1.000  0.476  0.772  0.890
-        3  0.62659   0.169  0.476  1.000  0.459  0.527
-        4  0.89781  -0.321  0.772  0.459  1.000  0.894
-        5  0.95017  -0.293  0.890  0.527  0.894  1.000
-400
-403.032 +- 0.219804
-9.13654 +- 0.35382
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 403.031 +- 0.226798 (stat) - 0.376479 + 0.504637 (syst); -0.393186/+0.517221 (total)
-   Uncertainty on sg_p1 = 9.12153 +- 0.364169 (stat) - 0.014669 + 0.138994 (syst); -0.182675/+0.229073 (total)
-   Uncertainty on sg_p2 = 399.298 +- 0.70675 (stat) - 1.07894 + 0.548609 (syst); -1.13534/+0.652569 (total)
-   Uncertainty on sg_p3 = 21.4947 +- 1.13406 (stat) - 0.134294 + 0.783059 (syst); -0.582718/+0.966802 (total)
-   Uncertainty on sg_p4 = 0.642062 +- 0.0406652 (stat) - 0.00580743 + 0.0455621 (syst); -0.0211457/+0.049893 (total) 
-   === Baseline plot === </br>
-   norm = 790.651
-JEC     lnN   1.00381  -
-JER     lnN   1.01925  -
-btag    lnN   1.06523  -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt
deleted file mode 100644
index 727e855..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  790.651 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06523    -
-JER       lnN     1.01925   - 
-JEC       lnN     1.00381   -
-trigger   lnN     1.10    -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_novo_285_624/signal400_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_novo_285_624/signal400_sig.log
deleted file mode 100644
index 9acbb71..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_400_novo_285_624/signal400_sig.log
+++ /dev/null
@@ -1,869 +0,0 @@
-
-Processing test.c...
-nSignal_init = 299800
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33249 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.15243e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   1.37205e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.80805e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.17737e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.38307e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=1.96152e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.85506e+02   3.78343e-01   1.28380e-03  -1.79696e-02
-   2  sg_p1        2.16205e+01   3.35235e-01   1.80013e-03  -1.11987e-02
-   3  sg_p2        3.70000e+02   1.32448e-01   9.45540e-03** at limit **
-   4  sg_p3        6.22011e+01   2.14887e+00   4.32821e-03   3.71767e-02
-   5  sg_p4        7.86673e-01   1.32740e-02   2.60376e-03  -4.77327e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.431e-01 -3.809e-02 -1.363e-08 -2.470e-01 -1.694e-03 
- -3.809e-02  1.124e-01  1.303e-09  3.035e-01  2.581e-03 
- -1.363e-08  1.303e-09  4.343e-10  9.091e-11 -1.595e-10 
- -2.470e-01  3.035e-01  9.091e-11  4.621e+00  1.948e-02 
- -1.694e-03  2.581e-03 -1.595e-10  1.948e-02  1.763e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37324   1.000 -0.300 -0.002 -0.304 -0.337
-        2  0.59095  -0.300  1.000  0.000  0.421  0.580
-        3  0.00218  -0.002  0.000  1.000  0.000 -0.001
-        4  0.68717  -0.304  0.421  0.000  1.000  0.682
-        5  0.75833  -0.337  0.580 -0.001  0.682  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM HESSE     STATUS=OK             31 CALLS         195 TOTAL
-                     EDM=1.96284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.85506e+02   3.78550e-01   5.13518e-05  -2.74710e-01
-   2  sg_p1        2.16205e+01   3.35880e-01   7.20051e-05   6.51457e-03
-   3  sg_p2        3.70000e+02   1.32456e-01   1.89108e-03  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.22011e+01   2.15536e+00   1.73128e-04   1.60716e-01
-   5  sg_p4        7.86673e-01   1.33169e-02   5.20752e-04   6.10583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.433e-01 -3.844e-02 -2.714e-09 -2.490e-01 -1.705e-03 
- -3.844e-02  1.128e-01  2.582e-10  3.070e-01  2.603e-03 
- -2.714e-09  2.582e-10  4.343e-10  2.856e-11 -3.187e-11 
- -2.490e-01  3.070e-01  2.856e-11  4.649e+00  1.966e-02 
- -1.705e-03  2.603e-03 -3.187e-11  1.966e-02  1.774e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37450   1.000 -0.302 -0.000 -0.305 -0.338
-        2  0.59306  -0.302  1.000  0.000  0.424  0.582
-        3  0.00043  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68946  -0.305  0.424  0.000  1.000  0.685
-        5  0.76013  -0.338  0.582 -0.000  0.685  1.000
-400
-385.506 +- 0.37855
-21.6205 +- 0.33588
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33081 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   1.81151e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.25726e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.70388e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.66591e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.95873e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM MIGRAD    STATUS=CONVERGED     160 CALLS         161 TOTAL
-                     EDM=5.64365e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.87437e+02   3.85764e-01   1.26589e-03  -5.15663e-01
-   2  sg_p1        2.16839e+01   3.35523e-01   1.79115e-03   1.07532e-01
-   3  sg_p2        3.70000e+02   1.39833e-01   9.73370e-03** at limit **
-   4  sg_p3        6.08508e+01   2.10095e+00   4.12758e-03   3.24347e-02
-   5  sg_p4        7.89007e-01   1.33639e-02   2.62549e-03  -2.60744e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-01 -4.305e-02 -2.519e-07 -2.764e-01 -1.946e-03 
- -4.305e-02  1.126e-01 -9.366e-09  3.008e-01  2.619e-03 
- -2.519e-07 -9.366e-09  1.704e-07 -3.173e-07 -6.072e-09 
- -2.764e-01  3.008e-01 -3.173e-07  4.417e+00  1.920e-02 
- -1.946e-03  2.619e-03 -6.072e-09  1.920e-02  1.787e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41597   1.000 -0.333 -0.002 -0.341 -0.377
-        2  0.59692  -0.333  1.000 -0.000  0.427  0.584
-        3  0.00247  -0.002 -0.000  1.000 -0.000 -0.001
-        4  0.68971  -0.341  0.427 -0.000  1.000  0.684
-        5  0.76090  -0.377  0.584 -0.001  0.684  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM HESSE     STATUS=OK             31 CALLS         192 TOTAL
-                     EDM=5.65901e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.87437e+02   3.86035e-01   2.53178e-04  -2.17803e-01
-   2  sg_p1        2.16839e+01   3.36156e-01   7.16461e-05   9.94233e-03
-   3  sg_p2        3.70000e+02   1.39842e-01   1.94674e-03  -1.57091e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.08508e+01   2.10696e+00   1.65103e-04   1.30388e-01
-   5  sg_p4        7.89007e-01   1.34047e-02   5.25097e-04   6.16292e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.490e-01 -4.342e-02 -4.545e-08 -2.786e-01 -1.959e-03 
- -4.342e-02  1.130e-01 -1.794e-09  3.041e-01  2.641e-03 
- -4.545e-08 -1.794e-09  1.704e-07 -5.759e-08 -1.102e-09 
- -2.786e-01  3.041e-01 -5.759e-08  4.443e+00  1.938e-02 
- -1.959e-03  2.641e-03 -1.102e-09  1.938e-02  1.798e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41736   1.000 -0.335 -0.000 -0.342 -0.378
-        2  0.59895  -0.335  1.000 -0.000  0.429  0.586
-        3  0.00045  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.69187  -0.342  0.429 -0.000  1.000  0.686
-        5  0.76259  -0.378  0.586 -0.000  0.686  1.000
-400
-387.437 +- 0.386035
-21.6839 +- 0.336156
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33253.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.45970e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.71903e+00
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.91853e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -8.75244e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.55185e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=3.35227e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.83669e+02   3.75050e-01   1.31711e-03   2.71422e-01
-   2  sg_p1        2.15657e+01   3.35007e-01   1.81860e-03   2.93721e-01
-   3  sg_p2        3.70000e+02   1.18706e-01   8.94035e-03** at limit **
-   4  sg_p3        6.23837e+01   2.11611e+00   4.26491e-03   6.14124e-02
-   5  sg_p4        7.79157e-01   1.33723e-02   2.61066e-03  -1.92762e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.407e-01 -3.293e-02 -8.781e-08 -2.099e-01 -1.470e-03 
- -3.293e-02  1.122e-01  1.601e-08  2.882e-01  2.545e-03 
- -8.781e-08  1.601e-08  1.802e-08  1.177e-07 -2.465e-10 
- -2.099e-01  2.882e-01  1.177e-07  4.481e+00  1.922e-02 
- -1.470e-03  2.545e-03 -2.465e-10  1.922e-02  1.789e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32654   1.000 -0.262 -0.002 -0.264 -0.293
-        2  0.57704  -0.262  1.000  0.000  0.406  0.568
-        3  0.00196  -0.002  0.000  1.000  0.000 -0.000
-        4  0.68265  -0.264  0.406  0.000  1.000  0.679
-        5  0.75308  -0.293  0.568 -0.000  0.679  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM HESSE     STATUS=OK             31 CALLS         190 TOTAL
-                     EDM=3.3512e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.83669e+02   3.75180e-01   2.63421e-04  -3.29696e-01
-   2  sg_p1        2.15657e+01   3.35505e-01   3.63719e-04   3.55092e-03
-   3  sg_p2        3.70000e+02   1.18712e-01   1.78807e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.23837e+01   2.12217e+00   1.70597e-04   1.64828e-01
-   5  sg_p4        7.79157e-01   1.34121e-02   5.22132e-04   5.92353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.408e-01 -3.318e-02 -1.693e-08 -2.114e-01 -1.478e-03 
- -3.318e-02  1.126e-01  3.095e-09  2.911e-01  2.564e-03 
- -1.693e-08  3.095e-09  1.803e-08  2.290e-08 -4.701e-11 
- -2.114e-01  2.911e-01  2.290e-08  4.507e+00  1.940e-02 
- -1.478e-03  2.564e-03 -4.701e-11  1.940e-02  1.799e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32749   1.000 -0.264 -0.000 -0.265 -0.294
-        2  0.57875  -0.264  1.000  0.000  0.409  0.570
-        3  0.00038  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68487  -0.265  0.409  0.000  1.000  0.681
-        5  0.75478  -0.294  0.570 -0.000  0.681  1.000
-400
-383.669 +- 0.37518
-21.5657 +- 0.335505
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24472.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.05856e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.09033e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.48368e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.94112e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.96270e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM MIGRAD    STATUS=CONVERGED     509 CALLS         510 TOTAL
-                     EDM=2.5866e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03031e+02   2.26519e-01   7.06422e-04  -6.24953e-01
-   2  sg_p1        9.12153e+00   3.63993e-01   2.95185e-03  -8.05301e-02
-   3  sg_p2        3.99298e+02   7.10621e-01   6.21816e-04   1.57926e-02
-   4  sg_p3        2.14947e+01   1.13267e+00   1.39396e-03  -1.73297e-02
-   5  sg_p4        6.42062e-01   4.06347e-02   2.84361e-03   2.63915e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.131e-02 -2.172e-02  2.774e-02 -8.091e-02 -2.646e-03 
- -2.172e-02  1.327e-01  1.233e-01  3.176e-01  1.317e-02 
-  2.774e-02  1.233e-01  5.050e-01  3.697e-01  1.525e-02 
- -8.091e-02  3.176e-01  3.697e-01  1.283e+00  4.116e-02 
- -2.646e-03  1.317e-02  1.525e-02  4.116e-02  1.655e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49329   1.000 -0.263  0.172 -0.315 -0.287
-        2  0.89097  -0.263  1.000  0.476  0.770  0.889
-        3  0.62717   0.172  0.476  1.000  0.459  0.527
-        4  0.89690  -0.315  0.770  0.459  1.000  0.893
-        5  0.94977  -0.287  0.889  0.527  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM HESSE     STATUS=OK             31 CALLS         541 TOTAL
-                     EDM=2.57939e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03031e+02   2.26798e-01   1.41284e-04   1.01207e-01
-   2  sg_p1        9.12153e+00   3.64169e-01   5.90369e-04   2.02560e-02
-   3  sg_p2        3.99298e+02   7.06750e-01   2.48726e-05   2.54828e+00
-   4  sg_p3        2.14947e+01   1.13406e+00   5.57583e-05  -9.89569e-01
-   5  sg_p4        6.42062e-01   4.06652e-02   5.68723e-04   2.88093e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.144e-02 -2.202e-02  2.804e-02 -8.193e-02 -2.679e-03 
- -2.202e-02  1.328e-01  1.208e-01  3.183e-01  1.319e-02 
-  2.804e-02  1.208e-01  4.995e-01  3.614e-01  1.495e-02 
- -8.193e-02  3.183e-01  3.614e-01  1.286e+00  4.125e-02 
- -2.679e-03  1.319e-02  1.495e-02  4.125e-02  1.658e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49518   1.000 -0.266  0.175 -0.319 -0.290
-        2  0.89108  -0.266  1.000  0.469  0.770  0.889
-        3  0.62183   0.175  0.469  1.000  0.451  0.520
-        4  0.89717  -0.319  0.770  0.451  1.000  0.893
-        5  0.94985  -0.290  0.889  0.520  0.893  1.000
-400
-403.031 +- 0.226798
-9.12153 +- 0.364169
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24696.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.50567e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.99560e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.90457e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.28000e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50850e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM MIGRAD    STATUS=CONVERGED     461 CALLS         462 TOTAL
-                     EDM=2.05098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03536e+02   2.36042e-01   7.27613e-04   1.38133e-01
-   2  sg_p1        9.26052e+00   3.88073e-01   3.03064e-03   3.06014e-03
-   3  sg_p2        3.99846e+02   7.05843e-01   6.16081e-04   4.24773e-01
-   4  sg_p3        2.13604e+01   1.14532e+00   1.37198e-03   1.42343e-01
-   5  sg_p4        6.36255e-01   4.36783e-02   2.89979e-03  -2.83285e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.572e-02 -2.634e-02  2.796e-02 -9.283e-02 -3.232e-03 
- -2.634e-02  1.508e-01  1.325e-01  3.480e-01  1.525e-02 
-  2.796e-02  1.325e-01  4.982e-01  3.683e-01  1.636e-02 
- -9.283e-02  3.480e-01  3.683e-01  1.312e+00  4.510e-02 
- -3.232e-03  1.525e-02  1.636e-02  4.510e-02  1.913e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.51806   1.000 -0.287  0.168 -0.343 -0.313
-        2  0.90009  -0.287  1.000  0.483  0.782  0.898
-        3  0.63614   0.168  0.483  1.000  0.456  0.530
-        4  0.90455  -0.343  0.782  0.456  1.000  0.900
-        5  0.95487  -0.313  0.898  0.530  0.900  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM HESSE     STATUS=OK             31 CALLS         493 TOTAL
-                     EDM=2.03888e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03536e+02   2.36409e-01   1.45523e-04   1.18130e-01
-   2  sg_p1        9.26052e+00   3.89977e-01   1.21225e-04   4.34340e-02
-   3  sg_p2        3.99846e+02   7.03519e-01   1.23216e-04   2.54251e+00
-   4  sg_p3        2.13604e+01   1.15130e+00   5.48791e-05  -9.93073e-01
-   5  sg_p4        6.36255e-01   4.39145e-02   5.79958e-04   2.76000e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.589e-02 -2.689e-02  2.803e-02 -9.446e-02 -3.293e-03 
- -2.689e-02  1.523e-01  1.317e-01  3.524e-01  1.543e-02 
-  2.803e-02  1.317e-01  4.949e-01  3.651e-01  1.624e-02 
- -9.446e-02  3.524e-01  3.651e-01  1.326e+00  4.564e-02 
- -3.293e-03  1.543e-02  1.624e-02  4.564e-02  1.934e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.52024   1.000 -0.291  0.169 -0.347 -0.317
-        2  0.90112  -0.291  1.000  0.480  0.784  0.899
-        3  0.63303   0.169  0.480  1.000  0.451  0.525
-        4  0.90559  -0.347  0.784  0.451  1.000  0.901
-        5  0.95536  -0.317  0.899  0.525  0.901  1.000
-400
-403.536 +- 0.236409
-9.26052 +- 0.389977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24015.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.73383e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.14601e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.01620e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.59452e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.70364e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM MIGRAD    STATUS=CONVERGED     571 CALLS         572 TOTAL
-                     EDM=2.11975e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02655e+02   2.13288e-01   6.62907e-04  -4.46168e-01
-   2  sg_p1        9.23949e+00   3.37872e-01   2.75680e-03  -1.32311e-01
-   3  sg_p2        3.98219e+02   8.68178e-01   7.02928e-04   2.98040e-01
-   4  sg_p3        2.22778e+01   1.33749e+00   1.59705e-03  -1.34034e-01
-   5  sg_p4        6.87624e-01   3.80009e-02   2.77016e-03   9.90234e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.549e-02 -1.871e-02  2.077e-02 -9.028e-02 -2.314e-03 
- -1.871e-02  1.143e-01  1.614e-01  3.481e-01  1.139e-02 
-  2.077e-02  1.614e-01  7.538e-01  6.352e-01  2.015e-02 
- -9.028e-02  3.481e-01  6.352e-01  1.790e+00  4.538e-02 
- -2.314e-03  1.139e-02  2.015e-02  4.538e-02  1.447e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48247   1.000 -0.259  0.112 -0.316 -0.285
-        2  0.88740  -0.259  1.000  0.550  0.770  0.886
-        3  0.68165   0.112  0.550  1.000  0.547  0.610
-        4  0.89573  -0.316  0.770  0.547  1.000  0.892
-        5  0.94802  -0.285  0.886  0.610  0.892  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM HESSE     STATUS=OK             31 CALLS         603 TOTAL
-                     EDM=2.11621e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02655e+02   2.13549e-01   1.32581e-04   8.86008e-02
-   2  sg_p1        9.23949e+00   3.38145e-01   5.51360e-04   3.99260e-02
-   3  sg_p2        3.98219e+02   8.63799e-01   1.40586e-04   2.55955e+00
-   4  sg_p3        2.22778e+01   1.33974e+00   6.38820e-05  -9.69500e-01
-   5  sg_p4        6.87624e-01   3.80543e-02   5.54033e-04   3.84665e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.560e-02 -1.897e-02  2.093e-02 -9.145e-02 -2.344e-03 
- -1.897e-02  1.145e-01  1.594e-01  3.492e-01  1.142e-02 
-  2.093e-02  1.594e-01  7.462e-01  6.264e-01  1.990e-02 
- -9.145e-02  3.492e-01  6.264e-01  1.796e+00  4.554e-02 
- -2.344e-03  1.142e-02  1.990e-02  4.554e-02  1.451e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48441   1.000 -0.263  0.113 -0.320 -0.288
-        2  0.88760  -0.263  1.000  0.545  0.770  0.886
-        3  0.67765   0.113  0.545  1.000  0.541  0.605
-        4  0.89610  -0.320  0.770  0.541  1.000  0.892
-        5  0.94817  -0.288  0.886  0.605  0.892  1.000
-400
-402.655 +- 0.213549
-9.23949 +- 0.338145
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23933.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.00563e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.26149e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.57290e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.98719e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.58184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23482 FROM MIGRAD    STATUS=CONVERGED     425 CALLS         426 TOTAL
-                     EDM=1.98551e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03064e+02   2.30766e-01   4.51369e-05   5.86157e-01
-   2  sg_p1        9.18055e+00   3.67314e-01  -4.43730e-04   8.55470e-03
-   3  sg_p2        3.99566e+02   7.08192e-01  -8.00128e-05  -4.66991e-01
-   4  sg_p3        2.13892e+01   1.12890e+00   4.69804e-04  -1.79727e-01
-   5  sg_p4        6.36669e-01   4.03843e-02   7.38905e-05   1.36445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.325e-02 -2.904e-02  2.726e-02 -9.686e-02 -3.527e-03 
- -2.904e-02  1.351e-01  1.202e-01  3.188e-01  1.315e-02 
-  2.726e-02  1.202e-01  5.015e-01  3.501e-01  1.456e-02 
- -9.686e-02  3.188e-01  3.501e-01  1.275e+00  4.101e-02 
- -3.527e-03  1.315e-02  1.456e-02  4.101e-02  1.635e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.56644   1.000 -0.342  0.167 -0.372 -0.378
-        2  0.88731  -0.342  1.000  0.462  0.768  0.885
-        3  0.64043   0.167  0.462  1.000  0.438  0.509
-        4  0.90083  -0.372  0.768  0.438  1.000  0.898
-        5  0.95189  -0.378  0.885  0.509  0.898  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23482 FROM HESSE     STATUS=OK             35 CALLS         461 TOTAL
-                     EDM=5.54045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03064e+02   2.33269e-01   7.19455e-04   1.02309e-01
-   2  sg_p1        9.18055e+00   3.92591e-01   3.01012e-03   3.00958e-02
-   3  sg_p2        3.99566e+02   7.11832e-01   6.13401e-04   2.54546e+00
-   4  sg_p3        2.13892e+01   1.16905e+00   1.37125e-03  -9.92320e-01
-   5  sg_p4        6.36669e-01   4.39485e-02   2.87997e-03   2.76861e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.442e-02 -2.298e-02  3.133e-02 -8.326e-02 -2.828e-03 
- -2.298e-02  1.543e-01  1.349e-01  3.609e-01  1.554e-02 
-  3.133e-02  1.349e-01  5.067e-01  3.816e-01  1.648e-02 
- -8.326e-02  3.609e-01  3.816e-01  1.367e+00  4.638e-02 
- -2.828e-03  1.554e-02  1.648e-02  4.638e-02  1.937e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49395   1.000 -0.251  0.189 -0.305 -0.275
-        2  0.90095  -0.251  1.000  0.482  0.786  0.899
-        3  0.63094   0.189  0.482  1.000  0.459  0.526
-        4  0.90514  -0.305  0.786  0.459  1.000  0.901
-        5  0.95480  -0.275  0.899  0.526  0.901  1.000
-400
-403.064 +- 0.233269
-9.18055 +- 0.392591
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24885.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.11264e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.79480e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39340e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.92985e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.63355e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM MIGRAD    STATUS=CONVERGED     428 CALLS         429 TOTAL
-                     EDM=7.26443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02955e+02   2.19114e-01   6.87184e-04  -4.52991e-01
-   2  sg_p1        9.16571e+00   3.57674e-01   2.86480e-03  -1.28599e-01
-   3  sg_p2        3.99199e+02   7.40925e-01   6.46031e-04   5.84783e-01
-   4  sg_p3        2.16431e+01   1.21207e+00   1.45003e-03  -5.04696e-01
-   5  sg_p4        6.62907e-01   4.05793e-02   2.83164e-03   1.71367e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.801e-02 -2.192e-02  2.514e-02 -8.718e-02 -2.692e-03 
- -2.192e-02  1.281e-01  1.292e-01  3.393e-01  1.300e-02 
-  2.514e-02  1.292e-01  5.490e-01  4.252e-01  1.618e-02 
- -8.718e-02  3.393e-01  4.252e-01  1.470e+00  4.429e-02 
- -2.692e-03  1.300e-02  1.618e-02  4.429e-02  1.651e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49883   1.000 -0.280  0.155 -0.328 -0.302
-        2  0.89599  -0.280  1.000  0.487  0.782  0.894
-        3  0.63326   0.155  0.487  1.000  0.473  0.538
-        4  0.90259  -0.328  0.782  0.473  1.000  0.899
-        5  0.95237  -0.302  0.894  0.538  0.899  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM HESSE     STATUS=OK             31 CALLS         460 TOTAL
-                     EDM=7.27657e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02955e+02   2.19385e-01   1.37437e-04   9.86503e-02
-   2  sg_p1        9.16571e+00   3.58424e-01   5.72960e-04   2.76226e-02
-   3  sg_p2        3.99199e+02   7.37765e-01   1.29206e-04   2.54932e+00
-   4  sg_p3        2.16431e+01   1.21551e+00   2.90006e-04  -9.85719e-01
-   5  sg_p4        6.62907e-01   4.06836e-02   5.66328e-04   3.31874e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.813e-02 -2.225e-02  2.533e-02 -8.836e-02 -2.729e-03 
- -2.225e-02  1.286e-01  1.275e-01  3.414e-01  1.307e-02 
-  2.533e-02  1.275e-01  5.443e-01  4.191e-01  1.598e-02 
- -8.836e-02  3.414e-01  4.191e-01  1.478e+00  4.455e-02 
- -2.729e-03  1.307e-02  1.598e-02  4.455e-02  1.659e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50069   1.000 -0.283  0.157 -0.331 -0.305
-        2  0.89645  -0.283  1.000  0.482  0.783  0.895
-        3  0.62918   0.157  0.482  1.000  0.467  0.532
-        4  0.90317  -0.331  0.783  0.467  1.000  0.900
-        5  0.95262  -0.305  0.895  0.532  0.900  1.000
-400
-402.955 +- 0.219385
-9.16571 +- 0.358424
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22933.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.87100e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.93992e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39002e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.82300e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50242e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM MIGRAD    STATUS=CONVERGED     449 CALLS         450 TOTAL
-                     EDM=1.18063e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.33943e-01   7.06213e-04   9.04520e-02
-   2  sg_p1        9.10686e+00   3.76352e-01   2.94856e-03  -2.29097e-02
-   3  sg_p2        3.99344e+02   7.27483e-01   6.18170e-04  -1.42732e-01
-   4  sg_p3        2.14204e+01   1.15968e+00   1.38769e-03   7.24703e-02
-   5  sg_p4        6.41123e-01   4.21101e-02   2.84478e-03  -3.40374e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.473e-02 -2.306e-02  3.001e-02 -8.509e-02 -2.816e-03 
- -2.306e-02  1.418e-01  1.295e-01  3.363e-01  1.412e-02 
-  3.001e-02  1.295e-01  5.292e-01  3.838e-01  1.605e-02 
- -8.509e-02  3.363e-01  3.838e-01  1.345e+00  4.369e-02 
- -2.816e-03  1.412e-02  1.605e-02  4.369e-02  1.778e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49289   1.000 -0.262  0.176 -0.314 -0.285
-        2  0.89116  -0.262  1.000  0.473  0.770  0.889
-        3  0.62460   0.176  0.473  1.000  0.455  0.523
-        4  0.89709  -0.314  0.770  0.455  1.000  0.893
-        5  0.94991  -0.285  0.889  0.523  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM HESSE     STATUS=OK             31 CALLS         481 TOTAL
-                     EDM=1.18704e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.34247e-01   1.41243e-04   1.01255e-01
-   2  sg_p1        9.10686e+00   3.78028e-01   1.17943e-04   1.78107e-02
-   3  sg_p2        3.99344e+02   7.25174e-01   1.23634e-04   2.54779e+00
-   4  sg_p3        2.14204e+01   1.16522e+00   5.55076e-05  -9.91505e-01
-   5  sg_p4        6.41123e-01   4.23208e-02   5.68957e-04   2.86134e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.487e-02 -2.352e-02  3.007e-02 -8.655e-02 -2.868e-03 
- -2.352e-02  1.431e-01  1.286e-01  3.403e-01  1.427e-02 
-  3.007e-02  1.286e-01  5.259e-01  3.804e-01  1.593e-02 
- -8.655e-02  3.403e-01  3.804e-01  1.358e+00  4.417e-02 
- -2.868e-03  1.427e-02  1.593e-02  4.417e-02  1.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49488   1.000 -0.265  0.177 -0.317 -0.289
-        2  0.89218  -0.265  1.000  0.469  0.772  0.890
-        3  0.62148   0.177  0.469  1.000  0.450  0.519
-        4  0.89813  -0.317  0.772  0.450  1.000  0.894
-        5  0.95042  -0.289  0.890  0.519  0.894  1.000
-400
-403.032 +- 0.234247
-9.10686 +- 0.378028
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26088.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.25521e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.24913e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.58204e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.06494e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.44374e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.85098 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (43592.9) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=411.751, sg_p1=10.1393, sg_p2=221.646, sg_p3=12.3173, sg_p4=0.392797
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=352.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=355.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=358.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=361.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=364.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=367.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=370.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=373.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=376.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=379.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=382.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=385.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-    ... (remaining 23 messages suppressed)
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM MIGRAD    STATUS=CONVERGED     410 CALLS         411 TOTAL
-                     EDM=8.53169e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.19508e-01   7.06641e-04   2.77604e-01
-   2  sg_p1        9.13654e+00   3.52245e-01   2.95146e-03   6.85002e-02
-   3  sg_p2        3.99251e+02   6.94391e-01   6.24869e-04  -5.23482e-02
-   4  sg_p3        2.15673e+01   1.10701e+00   1.40379e-03   1.05606e-01
-   5  sg_p4        6.42963e-01   3.92422e-02   2.83913e-03  -5.31174e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.818e-02 -2.053e-02  2.561e-02 -7.720e-02 -2.495e-03 
- -2.053e-02  1.242e-01  1.174e-01  3.004e-01  1.231e-02 
-  2.561e-02  1.174e-01  4.822e-01  3.562e-01  1.450e-02 
- -7.720e-02  3.004e-01  3.562e-01  1.226e+00  3.884e-02 
- -2.495e-03  1.231e-02  1.450e-02  3.884e-02  1.543e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49407   1.000 -0.265  0.168 -0.318 -0.289
-        2  0.89076  -0.265  1.000  0.480  0.770  0.889
-        3  0.62968   0.168  0.480  1.000  0.463  0.531
-        4  0.89677  -0.318  0.770  0.463  1.000  0.893
-        5  0.94966  -0.289  0.889  0.531  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM HESSE     STATUS=OK             31 CALLS         442 TOTAL
-                     EDM=8.53668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.19804e-01   1.41328e-04   1.01235e-01
-   2  sg_p1        9.13654e+00   3.53820e-01   1.18058e-04   2.27585e-02
-   3  sg_p2        3.99251e+02   6.92171e-01   1.24974e-04   2.54877e+00
-   4  sg_p3        2.15673e+01   1.11233e+00   5.61518e-05  -9.87685e-01
-   5  sg_p4        6.42963e-01   3.94399e-02   5.67827e-04   2.89973e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.831e-02 -2.094e-02  2.565e-02 -7.854e-02 -2.542e-03 
- -2.094e-02  1.253e-01  1.167e-01  3.040e-01  1.244e-02 
-  2.565e-02  1.167e-01  4.791e-01  3.532e-01  1.440e-02 
- -7.854e-02  3.040e-01  3.532e-01  1.238e+00  3.927e-02 
- -2.542e-03  1.244e-02  1.440e-02  3.927e-02  1.559e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49612   1.000 -0.269  0.169 -0.321 -0.293
-        2  0.89179  -0.269  1.000  0.476  0.772  0.890
-        3  0.62659   0.169  0.476  1.000  0.459  0.527
-        4  0.89781  -0.321  0.772  0.459  1.000  0.894
-        5  0.95017  -0.293  0.890  0.527  0.894  1.000
-400
-403.032 +- 0.219804
-9.13654 +- 0.35382
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 403.031 +- 0.226798 (stat) - 0.376479 + 0.504637 (syst); -0.393186/+0.517221 (total)
-   Uncertainty on sg_p1 = 9.12153 +- 0.364169 (stat) - 0.014669 + 0.138994 (syst); -0.182675/+0.229073 (total)
-   Uncertainty on sg_p2 = 399.298 +- 0.70675 (stat) - 1.07894 + 0.548609 (syst); -1.13534/+0.652569 (total)
-   Uncertainty on sg_p3 = 21.4947 +- 1.13406 (stat) - 0.134294 + 0.783059 (syst); -0.582718/+0.966802 (total)
-   Uncertainty on sg_p4 = 0.642062 +- 0.0406652 (stat) - 0.00580743 + 0.0455621 (syst); -0.0211457/+0.049893 (total) 
-   === Baseline plot === </br>
-   norm = 790.651
-JEC     lnN   1.00381  -
-JER     lnN   1.01925  -
-btag    lnN   1.06523  -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt
deleted file mode 100644
index 5e69bce..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1083.26 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06507    -
-JER       lnN     1.01521   - 
-JEC       lnN     1.00732   -
-trigger   lnN     1.10    -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_crystal_1_285_624/signal450_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_crystal_1_285_624/signal450_sig.log
deleted file mode 100644
index 758dffb..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_crystal_1_285_624/signal450_sig.log
+++ /dev/null
@@ -1,849 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   9.40956e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.15795e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   5.60158e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.43253e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.02042e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=3.59834e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.33700e+02   5.20779e-01   1.28024e-03  -4.50888e-02
-   2  sg_p1        2.45512e+01   4.32325e-01   2.13929e-03   2.15071e-02
-   3  sg_p2        4.10000e+02   7.56422e-01   1.62500e-02** at limit **
-   4  sg_p3        9.59075e+01   9.76509e+00   3.57927e-02  -4.80697e-03
-   5  sg_p4        8.98300e-01   1.09856e-02   2.31920e-03   1.35348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.712e-01 -3.295e-02 -7.320e-06 -1.029e+00 -1.066e-03 
- -3.295e-02  1.870e-01  4.421e-06  1.512e+00  2.106e-03 
- -7.320e-06  4.421e-06  3.900e-05  3.605e-04  1.357e-07 
- -1.029e+00  1.512e+00  3.605e-04  1.055e+02  6.647e-02 
- -1.066e-03  2.106e-03  1.357e-07  6.647e-02  1.207e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22083   1.000 -0.146 -0.002 -0.192 -0.186
-        2  0.45738  -0.146  1.000  0.002  0.340  0.443
-        3  0.00601  -0.002  0.002  1.000  0.006  0.002
-        4  0.60064  -0.192  0.340  0.006  1.000  0.589
-        5  0.64515  -0.186  0.443  0.002  0.589  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=3.62828e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.33700e+02   5.22464e-01   2.56047e-04  -3.28756e-01
-   2  sg_p1        2.45512e+01   4.36897e-01   8.55715e-05   3.54316e-01
-   3  sg_p2        4.10000e+02   7.56439e-01   3.24999e-03  -1.56999e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.59075e+01   1.00551e+01   1.43171e-03   1.14101e+00
-   5  sg_p4        8.98300e-01   1.13202e-02   4.63840e-04   9.21649e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.730e-01 -3.575e-02 -2.151e-06 -1.151e+00 -1.179e-03 
- -3.575e-02  1.909e-01  1.441e-06  1.696e+00  2.279e-03 
- -2.151e-06  1.441e-06  3.900e-05  1.093e-04  4.737e-08 
- -1.151e+00  1.696e+00  1.093e-04  1.126e+02  7.452e-02 
- -1.179e-03  2.279e-03  4.737e-08  7.452e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23428   1.000 -0.157 -0.001 -0.208 -0.199
-        2  0.47504  -0.157  1.000  0.001  0.366  0.461
-        3  0.00175  -0.001  0.001  1.000  0.002  0.001
-        4  0.63167  -0.208  0.366  0.002  1.000  0.620
-        5  0.67100  -0.199  0.461  0.001  0.620  1.000
-450
-433.7 +- 0.522464
-24.5512 +- 0.436897
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14967 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   7.30094e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -7.17086e+01
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   4.92262e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   1.24799e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.52207e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM MIGRAD    STATUS=CONVERGED     225 CALLS         226 TOTAL
-                     EDM=1.40963e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.35880e+02   5.28453e-01   1.25742e-03   3.65467e-02
-   2  sg_p1        2.47804e+01   4.36143e-01   2.15058e-03   8.90109e-02
-   3  sg_p2        4.10000e+02   8.41699e-01   1.71227e-02** at limit **
-   4  sg_p3        9.34154e+01   9.89175e+00   2.81029e-02   3.92610e-03
-   5  sg_p4        9.04757e-01   1.10728e-02   2.34320e-03  -1.13912e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.793e-01 -4.062e-02 -3.574e-06 -1.243e+00 -1.334e-03 
- -4.062e-02  1.903e-01  1.963e-06  1.596e+00  2.205e-03 
- -3.574e-06  1.963e-06  1.004e-05  1.505e-04  5.291e-08 
- -1.243e+00  1.596e+00  1.505e-04  1.043e+02  6.945e-02 
- -1.334e-03  2.205e-03  5.291e-08  6.945e-02  1.227e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26417   1.000 -0.176 -0.002 -0.230 -0.228
-        2  0.47132  -0.176  1.000  0.001  0.358  0.457
-        3  0.00513  -0.002  0.001  1.000  0.005  0.002
-        4  0.62620  -0.230  0.358  0.005  1.000  0.614
-        5  0.66724  -0.228  0.457  0.002  0.614  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM HESSE     STATUS=OK             31 CALLS         257 TOTAL
-                     EDM=1.45125e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.35880e+02   5.30103e-01   2.51483e-04  -2.63606e-01
-   2  sg_p1        2.47804e+01   4.39593e-01   4.30116e-04   3.69632e-01
-   3  sg_p2        4.10000e+02   8.41739e-01   3.42455e-03  -1.57118e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.34154e+01   1.01144e+01   1.12412e-03   1.02300e+00
-   5  sg_p4        9.04757e-01   1.13218e-02   9.37280e-05   9.43325e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.810e-01 -4.308e-02 -6.126e-07 -1.344e+00 -1.432e-03 
- -4.308e-02  1.933e-01  3.606e-07  1.730e+00  2.336e-03 
- -6.126e-07  3.606e-07  1.004e-05  2.633e-05  1.041e-08 
- -1.344e+00  1.730e+00  2.633e-05  1.094e+02  7.528e-02 
- -1.432e-03  2.336e-03  1.041e-08  7.528e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27490   1.000 -0.185 -0.000 -0.242 -0.238
-        2  0.48405  -0.185  1.000  0.000  0.376  0.469
-        3  0.00087  -0.000  0.000  1.000  0.001  0.000
-        4  0.64751  -0.242  0.376  0.001  1.000  0.636
-        5  0.68509  -0.238  0.469  0.000  0.636  1.000
-450
-435.88 +- 0.530103
-24.7804 +- 0.439593
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14989.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   1.09913e+03
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.79281e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   6.15691e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.35305e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.43184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM MIGRAD    STATUS=CONVERGED     259 CALLS         260 TOTAL
-                     EDM=2.88948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.31562e+02   5.09368e-01   1.30052e-03  -5.36209e-02
-   2  sg_p1        2.44193e+01   3.99415e-01   2.10037e-03   1.06473e-02
-   3  sg_p2        4.10000e+02   7.22690e-01   1.57718e-02** at limit **
-   4  sg_p3        1.00000e+02   1.55471e+01   7.04637e-02** at limit **
-   5  sg_p4        8.97810e-01   8.75371e-03   2.28074e-03   2.04575e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.470e-02 -3.574e-07  3.497e-04 -3.281e-04 
- -1.470e-02  1.596e-01 -3.286e-08 -5.660e-04  1.020e-03 
- -3.574e-07 -3.286e-08  5.312e-07 -1.926e-08 -7.103e-09 
-  3.497e-04 -5.660e-04 -1.926e-08  1.262e-03 -2.615e-05 
- -3.281e-04  1.020e-03 -7.103e-09 -2.615e-05  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09157   1.000 -0.072 -0.001  0.019 -0.074
-        2  0.29639  -0.072  1.000 -0.000 -0.040  0.292
-        3  0.00174  -0.001 -0.000  1.000 -0.001 -0.001
-        4  0.08650   0.019 -0.040 -0.001  1.000 -0.084
-        5  0.30486  -0.074  0.292 -0.001 -0.084  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM HESSE     STATUS=OK             31 CALLS         291 TOTAL
-                     EDM=2.76365e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.31562e+02   5.09297e-01   2.60104e-04  -3.94063e-01
-   2  sg_p1        2.44193e+01   3.99210e-01   8.40147e-05   3.45541e-01
-   3  sg_p2        4.10000e+02   7.22718e-01   3.15436e-03  -1.57070e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        1.00000e+02   1.57628e+01   1.40927e-02   1.56988e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   5  sg_p4        8.97810e-01   8.72528e-03   9.12295e-05   9.20031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.594e-01 -1.474e-02 -7.385e-08  6.324e-05 -3.205e-04 
- -1.474e-02  1.594e-01 -8.717e-09 -1.029e-04  1.011e-03 
- -7.385e-08 -8.717e-09  5.312e-07 -7.301e-10 -1.575e-09 
-  6.324e-05 -1.029e-04 -7.301e-10  1.280e-03 -4.742e-06 
- -3.205e-04  1.011e-03 -1.575e-09 -4.742e-06  7.615e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09005   1.000 -0.072 -0.000  0.003 -0.072
-        2  0.29480  -0.072  1.000 -0.000 -0.007  0.290
-        3  0.00033  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.01563   0.003 -0.007 -0.000  1.000 -0.015
-        5  0.29498  -0.072  0.290 -0.000 -0.015  1.000
-450
-431.562 +- 0.509297
-24.4193 +- 0.39921
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12740.9 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.59626e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.90307e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.30862e+02
-   4  sg_p3        3.11611e+01   1.40000e+01  -7.72180e-01   1.25776e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.90098e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.72857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53121e+02   3.12103e-01   7.60916e-04  -1.37805e-01
-   2  sg_p1        1.32664e+01   3.51765e-01   1.66864e-03  -1.59663e-01
-   3  sg_p2        4.41850e+02   2.88341e+00   3.42150e-03  -4.30161e-02
-   4  sg_p3        3.99520e+01   3.27521e+00   2.78644e-03  -1.95155e-02
-   5  sg_p4        8.69549e-01   2.03464e-02   2.42525e-03   7.02356e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.741e-02 -2.019e-02 -5.897e-02 -2.380e-01 -1.352e-03 
- -2.019e-02  1.238e-01 -4.014e-01  6.784e-01  5.251e-03 
- -5.897e-02 -4.014e-01  8.322e+00 -4.133e+00 -2.949e-02 
- -2.380e-01  6.784e-01 -4.133e+00  1.074e+01  5.122e-02 
- -1.352e-03  5.251e-03 -2.949e-02  5.122e-02  4.145e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32114   1.000 -0.184 -0.066 -0.233 -0.213
-        2  0.73542  -0.184  1.000 -0.395  0.588  0.733
-        3  0.54335  -0.066 -0.395  1.000 -0.437 -0.502
-        4  0.77539  -0.233  0.588 -0.437  1.000  0.768
-        5  0.85259  -0.213  0.733 -0.502  0.768  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=1.73002e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53121e+02   3.12202e-01   1.52183e-04   1.04231e-01
-   2  sg_p1        1.32664e+01   3.54275e-01   3.33728e-04  -6.67445e-02
-   3  sg_p2        4.41850e+02   2.90658e+00   6.84300e-04   1.24877e-01
-   4  sg_p3        3.99520e+01   3.31061e+00   1.11458e-04  -6.09081e-01
-   5  sg_p4        8.69549e-01   2.05823e-02   4.85050e-04   8.31731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.747e-02 -2.060e-02 -5.492e-02 -2.421e-01 -1.378e-03 
- -2.060e-02  1.256e-01 -4.183e-01  6.988e-01  5.382e-03 
- -5.492e-02 -4.183e-01  8.456e+00 -4.334e+00 -3.074e-02 
- -2.421e-01  6.988e-01 -4.334e+00  1.097e+01  5.275e-02 
- -1.378e-03  5.382e-03 -3.074e-02  5.275e-02  4.242e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32202   1.000 -0.186 -0.060 -0.234 -0.214
-        2  0.73982  -0.186  1.000 -0.406  0.595  0.738
-        3  0.55356  -0.060 -0.406  1.000 -0.450 -0.513
-        4  0.78084  -0.234  0.595 -0.450  1.000  0.773
-        5  0.85624  -0.214  0.738 -0.513  0.773  1.000
-450
-453.121 +- 0.312202
-13.2664 +- 0.354275
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.2 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.71963e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.47720e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.59810e+02
-   4  sg_p3        3.20356e+01   1.40000e+01  -7.54886e-01   1.25318e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.92447e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=5.05245e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53816e+02   3.21132e-01   7.83772e-04  -7.95633e-02
-   2  sg_p1        1.33997e+01   3.69195e-01   1.71799e-03   1.80096e-01
-   3  sg_p2        4.44337e+02   2.53515e+00   3.11461e-03  -5.82291e-02
-   4  sg_p3        3.80604e+01   2.91065e+00   2.47607e-03   7.49358e-02
-   5  sg_p4        8.58912e-01   2.26324e-02   2.50700e-03  -6.85706e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.031e-01 -2.126e-02 -8.734e-02 -2.148e-01 -1.521e-03 
- -2.126e-02  1.364e-01 -3.383e-01  6.405e-01  6.246e-03 
- -8.734e-02 -3.383e-01  6.432e+00 -2.789e+00 -2.624e-02 
- -2.148e-01  6.405e-01 -2.789e+00  8.480e+00  5.167e-02 
- -1.521e-03  6.246e-03 -2.624e-02  5.167e-02  5.129e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33218   1.000 -0.179 -0.107 -0.230 -0.209
-        2  0.74782  -0.179  1.000 -0.361  0.596  0.747
-        3  0.50601  -0.107 -0.361  1.000 -0.378 -0.457
-        4  0.78747  -0.230  0.596 -0.378  1.000  0.784
-        5  0.86569  -0.209  0.747 -0.457  0.784  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=5.14272e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53816e+02   3.21170e-01   1.56754e-04   1.27552e-01
-   2  sg_p1        1.33997e+01   3.71529e-01   3.43597e-04  -5.45997e-02
-   3  sg_p2        4.44337e+02   2.55137e+00   6.22923e-04   1.70589e-01
-   4  sg_p3        3.80604e+01   2.93737e+00   9.90429e-05  -6.42423e-01
-   5  sg_p4        8.58912e-01   2.28649e-02   5.01401e-04   8.00670e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.032e-01 -2.159e-02 -8.447e-02 -2.173e-01 -1.542e-03 
- -2.159e-02  1.381e-01 -3.519e-01  6.569e-01  6.381e-03 
- -8.447e-02 -3.519e-01  6.514e+00 -2.922e+00 -2.730e-02 
- -2.173e-01  6.569e-01 -2.922e+00  8.636e+00  5.298e-02 
- -1.542e-03  6.381e-03 -2.730e-02  5.298e-02  5.236e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33250   1.000 -0.181 -0.103 -0.230 -0.210
-        2  0.75151  -0.181  1.000 -0.371  0.602  0.750
-        3  0.51526  -0.103 -0.371  1.000 -0.390 -0.467
-        4  0.79182  -0.230  0.602 -0.390  1.000  0.788
-        5  0.86862  -0.210  0.750 -0.467  0.788  1.000
-450
-453.816 +- 0.32117
-13.3997 +- 0.371529
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12450.5 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -7.89096e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.29312e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.41083e+02
-   4  sg_p3        2.97404e+01   1.40000e+01  -8.00916e-01   5.32420e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.78505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=9.81901e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.52649e+02   2.99257e-01   7.27117e-04  -1.85651e-01
-   2  sg_p1        1.29215e+01   3.26230e-01   1.60240e-03  -1.04599e-01
-   3  sg_p2        4.39500e+02   3.30234e+00   3.79402e-03  -2.47036e-02
-   4  sg_p3        4.23678e+01   3.70551e+00   3.18328e-03  -2.16927e-02
-   5  sg_p4        8.78387e-01   1.75288e-02   2.31775e-03   5.63843e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.956e-02 -1.634e-02 -3.809e-02 -2.386e-01 -1.021e-03 
- -1.634e-02  1.065e-01 -4.382e-01  6.785e-01  4.010e-03 
- -3.809e-02 -4.382e-01  1.092e+01 -5.893e+00 -3.008e-02 
- -2.386e-01  6.785e-01 -5.893e+00  1.375e+01  4.755e-02 
- -1.021e-03  4.010e-03 -3.008e-02  4.755e-02  3.076e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29182   1.000 -0.167 -0.039 -0.215 -0.195
-        2  0.70607  -0.167  1.000 -0.406  0.561  0.701
-        3  0.56523  -0.039 -0.406  1.000 -0.481 -0.519
-        4  0.74887  -0.215  0.561 -0.481  1.000  0.731
-        5  0.82206  -0.195  0.701 -0.519  0.731  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM HESSE     STATUS=OK             31 CALLS         249 TOTAL
-                     EDM=9.82123e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.52649e+02   2.99376e-01   1.45423e-04   8.84175e-02
-   2  sg_p1        1.29215e+01   3.28560e-01   3.20481e-04  -9.82038e-02
-   3  sg_p2        4.39500e+02   3.33339e+00   7.58805e-04   8.19031e-02
-   4  sg_p3        4.23678e+01   3.74990e+00   1.27331e-04  -5.67592e-01
-   5  sg_p4        8.78387e-01   1.77374e-02   4.63550e-04   8.58362e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.963e-02 -1.673e-02 -3.321e-02 -2.436e-01 -1.045e-03 
- -1.673e-02  1.080e-01 -4.573e-01  7.011e-01  4.116e-03 
- -3.321e-02 -4.573e-01  1.113e+01 -6.187e+00 -3.140e-02 
- -2.436e-01  7.011e-01 -6.187e+00  1.408e+01  4.914e-02 
- -1.045e-03  4.116e-03 -3.140e-02  4.914e-02  3.149e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29306   1.000 -0.170 -0.033 -0.217 -0.197
-        2  0.71107  -0.170  1.000 -0.417  0.569  0.706
-        3  0.57630  -0.033 -0.417  1.000 -0.494 -0.531
-        4  0.75573  -0.217  0.569 -0.494  1.000  0.738
-        5  0.82667  -0.197  0.706 -0.531  0.738  1.000
-450
-452.649 +- 0.299376
-12.9215 +- 0.32856
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12485 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.28524e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.76932e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.07179e+02
-   4  sg_p3        3.15199e+01   1.40000e+01  -7.65049e-01   1.17013e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.75418e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=8.2003e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53041e+02   3.16233e-01   7.67663e-04  -4.53747e-01
-   2  sg_p1        1.34606e+01   3.60067e-01   1.68094e-03  -2.56821e-01
-   3  sg_p2        4.42647e+02   3.03755e+00   3.65255e-03  -7.93949e-02
-   4  sg_p3        4.13701e+01   3.70699e+00   3.03411e-03  -1.62102e-02
-   5  sg_p4        8.74490e-01   2.02974e-02   2.42550e-03   1.44185e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.000e-01 -1.902e-02 -8.059e-02 -2.487e-01 -1.247e-03 
- -1.902e-02  1.297e-01 -4.096e-01  8.024e-01  5.385e-03 
- -8.059e-02 -4.096e-01  9.236e+00 -4.749e+00 -2.911e-02 
- -2.487e-01  8.024e-01 -4.749e+00  1.376e+01  5.850e-02 
- -1.247e-03  5.385e-03 -2.911e-02  5.850e-02  4.125e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30405   1.000 -0.167 -0.084 -0.212 -0.194
-        2  0.73858  -0.167  1.000 -0.374  0.601  0.736
-        3  0.51688  -0.084 -0.374  1.000 -0.421 -0.472
-        4  0.78361  -0.212  0.601 -0.421  1.000  0.776
-        5  0.85381  -0.194  0.736 -0.472  0.776  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM HESSE     STATUS=OK             31 CALLS         238 TOTAL
-                     EDM=8.28097e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53041e+02   3.16314e-01   1.53533e-04   1.01529e-01
-   2  sg_p1        1.34606e+01   3.62947e-01   3.36188e-04  -4.90533e-02
-   3  sg_p2        4.42647e+02   3.06302e+00   7.30509e-04   1.39482e-01
-   4  sg_p3        4.13701e+01   3.75314e+00   1.21364e-04  -5.84588e-01
-   5  sg_p4        8.74490e-01   2.05612e-02   4.85100e-04   8.46520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.001e-01 -1.944e-02 -7.634e-02 -2.533e-01 -1.273e-03 
- -1.944e-02  1.318e-01 -4.295e-01  8.293e-01  5.535e-03 
- -7.634e-02 -4.295e-01  9.392e+00 -5.013e+00 -3.054e-02 
- -2.533e-01  8.293e-01 -5.013e+00  1.411e+01  6.046e-02 
- -1.273e-03  5.535e-03 -3.054e-02  6.046e-02  4.233e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30482   1.000 -0.169 -0.079 -0.213 -0.196
-        2  0.74343  -0.169  1.000 -0.386  0.608  0.741
-        3  0.52851  -0.079 -0.386  1.000 -0.436 -0.484
-        4  0.78960  -0.213  0.608 -0.436  1.000  0.782
-        5  0.85785  -0.196  0.741 -0.484  0.782  1.000
-450
-453.041 +- 0.316314
-13.4606 +- 0.362947
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.1 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.34152e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.79811e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -1.07673e+03
-   4  sg_p3        2.91978e+01   1.40000e+01  -8.12117e-01  -1.15313e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.79673e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM MIGRAD    STATUS=CONVERGED     214 CALLS         215 TOTAL
-                     EDM=2.54338e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53203e+02   3.05272e-01   7.48199e-04   1.37509e-01
-   2  sg_p1        1.33442e+01   3.36784e-01   1.63030e-03  -1.73887e-01
-   3  sg_p2        4.40023e+02   3.36501e+00   3.85092e-03  -4.69572e-02
-   4  sg_p3        4.14043e+01   3.72019e+00   3.17044e-03  -1.58965e-02
-   5  sg_p4        8.85415e-01   1.84477e-02   2.39174e-03   8.69592e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.319e-02 -1.886e-02 -3.146e-02 -2.700e-01 -1.210e-03 
- -1.886e-02  1.135e-01 -4.902e-01  7.251e-01  4.482e-03 
- -3.146e-02 -4.902e-01  1.134e+01 -6.160e+00 -3.421e-02 
- -2.700e-01  7.251e-01 -6.160e+00  1.386e+01  5.193e-02 
- -1.210e-03  4.482e-03 -3.421e-02  5.193e-02  3.407e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31564   1.000 -0.183 -0.031 -0.238 -0.215
-        2  0.72421  -0.183  1.000 -0.432  0.578  0.721
-        3  0.58870  -0.031 -0.432  1.000 -0.491 -0.551
-        4  0.76796  -0.238  0.578 -0.491  1.000  0.756
-        5  0.84414  -0.215  0.721 -0.551  0.756  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM HESSE     STATUS=OK             31 CALLS         246 TOTAL
-                     EDM=2.55427e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53203e+02   3.05429e-01   1.49640e-04   1.06973e-01
-   2  sg_p1        1.33442e+01   3.39511e-01   3.26061e-04  -5.96515e-02
-   3  sg_p2        4.40023e+02   3.39967e+00   7.70184e-04   9.14550e-02
-   4  sg_p3        4.14043e+01   3.76783e+00   1.26818e-04  -5.84003e-01
-   5  sg_p4        8.85415e-01   1.86940e-02   4.78349e-04   8.80144e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.329e-02 -1.935e-02 -2.553e-02 -2.761e-01 -1.241e-03 
- -1.935e-02  1.153e-01 -5.124e-01  7.508e-01  4.612e-03 
- -2.553e-02 -5.124e-01  1.157e+01 -6.480e+00 -3.578e-02 
- -2.761e-01  7.508e-01 -6.480e+00  1.422e+01  5.377e-02 
- -1.241e-03  4.612e-03 -3.578e-02  5.377e-02  3.499e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31711   1.000 -0.187 -0.025 -0.240 -0.217
-        2  0.72945  -0.187  1.000 -0.444  0.586  0.726
-        3  0.59988  -0.025 -0.444  1.000 -0.505 -0.562
-        4  0.77464  -0.240  0.586 -0.505  1.000  0.762
-        5  0.84859  -0.217  0.726 -0.562  0.762  1.000
-450
-453.203 +- 0.305429
-13.3442 +- 0.339511
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11934 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.21817e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.66012e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.28921e+02
-   4  sg_p3        3.02910e+01   1.40000e+01  -7.89682e-01   6.24982e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.41964e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=3.59163e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53125e+02   3.22437e-01   7.59830e-04   3.14030e-01
-   2  sg_p1        1.32568e+01   3.64776e-01   1.66662e-03   1.31711e-01
-   3  sg_p2        4.41914e+02   2.96380e+00   3.40318e-03  -1.73168e-02
-   4  sg_p3        3.96954e+01   3.35557e+00   2.76524e-03  -2.51020e-02
-   5  sg_p4        8.69980e-01   2.12003e-02   2.43138e-03   2.99659e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.192e-02 -6.249e-02 -2.549e-01 -1.475e-03 
- -2.192e-02  1.331e-01 -4.296e-01  7.236e-01  5.697e-03 
- -6.249e-02 -4.296e-01  8.793e+00 -4.343e+00 -3.167e-02 
- -2.549e-01  7.236e-01 -4.343e+00  1.127e+01  5.485e-02 
- -1.475e-03  5.697e-03 -3.167e-02  5.485e-02  4.500e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32406   1.000 -0.186 -0.065 -0.235 -0.216
-        2  0.73815  -0.186  1.000 -0.397  0.591  0.736
-        3  0.54427  -0.065 -0.397  1.000 -0.436 -0.503
-        4  0.77722  -0.235  0.591 -0.436  1.000  0.770
-        5  0.85485  -0.216  0.736 -0.503  0.770  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=3.63213e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53125e+02   3.22540e-01   1.51966e-04   1.04341e-01
-   2  sg_p1        1.32568e+01   3.67383e-01   3.33325e-04  -6.76154e-02
-   3  sg_p2        4.41914e+02   2.98753e+00   6.80636e-04   1.26049e-01
-   4  sg_p3        3.96954e+01   3.39157e+00   1.10610e-04  -6.13558e-01
-   5  sg_p4        8.69980e-01   2.14457e-02   4.86276e-04   8.33011e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.236e-02 -5.816e-02 -2.592e-01 -1.503e-03 
- -2.236e-02  1.350e-01 -4.476e-01  7.452e-01  5.838e-03 
- -5.816e-02 -4.476e-01  8.934e+00 -4.553e+00 -3.300e-02 
- -2.592e-01  7.452e-01 -4.553e+00  1.152e+01  5.647e-02 
- -1.503e-03  5.838e-03 -3.300e-02  5.647e-02  4.605e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32494   1.000 -0.189 -0.060 -0.237 -0.217
-        2  0.74250  -0.189  1.000 -0.408  0.598  0.740
-        3  0.55442  -0.060 -0.408  1.000 -0.449 -0.514
-        4  0.78258  -0.237  0.598 -0.449  1.000  0.775
-        5  0.85843  -0.217  0.740 -0.514  0.775  1.000
-450
-453.125 +- 0.32254
-13.2568 +- 0.367383
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13588.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.01194e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.14820e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.36931e+02
-   4  sg_p3        3.19529e+01   1.40000e+01  -7.56508e-01   1.83311e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.40586e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=2.9635e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53119e+02   3.02295e-01   7.61866e-04  -3.75062e-01
-   2  sg_p1        1.32780e+01   3.39541e-01   1.67011e-03  -9.46376e-02
-   3  sg_p2        4.41784e+02   2.80838e+00   3.43889e-03  -7.54198e-02
-   4  sg_p3        4.02094e+01   3.20169e+00   2.80752e-03   5.20848e-02
-   5  sg_p4        8.69165e-01   1.95466e-02   2.41927e-03  -3.07790e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.139e-02 -1.864e-02 -5.556e-02 -2.229e-01 -1.243e-03 
- -1.864e-02  1.153e-01 -3.761e-01  6.379e-01  4.851e-03 
- -5.556e-02 -3.761e-01  7.894e+00 -3.947e+00 -2.754e-02 
- -2.229e-01  6.379e-01 -3.947e+00  1.026e+01  4.798e-02 
- -1.243e-03  4.851e-03 -2.754e-02  4.798e-02  3.825e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31836   1.000 -0.182 -0.065 -0.230 -0.210
-        2  0.73280  -0.182  1.000 -0.394  0.586  0.730
-        3  0.54277  -0.065 -0.394  1.000 -0.439 -0.501
-        4  0.77378  -0.230  0.586 -0.439  1.000  0.766
-        5  0.85046  -0.210  0.730 -0.501  0.766  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM HESSE     STATUS=OK             31 CALLS         237 TOTAL
-                     EDM=2.98129e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53119e+02   3.02390e-01   1.52373e-04   1.04142e-01
-   2  sg_p1        1.32780e+01   3.41962e-01   3.34022e-04  -6.56836e-02
-   3  sg_p2        4.41784e+02   2.83105e+00   6.87778e-04   1.23663e-01
-   4  sg_p3        4.02094e+01   3.23660e+00   1.12301e-04  -6.04605e-01
-   5  sg_p4        8.69165e-01   1.97739e-02   4.83854e-04   8.30589e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.144e-02 -1.903e-02 -5.175e-02 -2.268e-01 -1.268e-03 
- -1.903e-02  1.170e-01 -3.920e-01  6.571e-01  4.973e-03 
- -5.175e-02 -3.920e-01  8.022e+00 -4.140e+00 -2.871e-02 
- -2.268e-01  6.571e-01 -4.140e+00  1.049e+01  4.942e-02 
- -1.268e-03  4.973e-03 -2.871e-02  4.942e-02  3.915e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31924   1.000 -0.184 -0.060 -0.232 -0.212
-        2  0.73725  -0.184  1.000 -0.405  0.593  0.735
-        3  0.55306  -0.060 -0.405  1.000 -0.451 -0.512
-        4  0.77932  -0.232  0.593 -0.451  1.000  0.771
-        5  0.85417  -0.212  0.735 -0.512  0.771  1.000
-450
-453.119 +- 0.30239
-13.278 +- 0.341962
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 72 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 80 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 453.121 +- 0.312202 (stat) - 0.472204 + 0.694919 (syst); -0.497337/+0.712236 (total)
-   Uncertainty on sg_p1 = 13.2664 +- 0.354275 (stat) - 0.344861 + 0.194275 (syst); -0.387695/+0.262907 (total)
-   Uncertainty on sg_p2 = 441.85 +- 2.90658 (stat) - 2.35076 + 2.48654 (syst); -2.76371/+2.88009 (total)
-   Uncertainty on sg_p3 = 39.952 +- 3.31061 (stat) - 1.8916 + 2.41576 (syst); -2.5136/+2.92847 (total)
-   Uncertainty on sg_p4 = 0.869549 +- 0.0205823 (stat) - 0.0106377 + 0.015866 (syst); -0.0148009/+0.0189113 (total) 
-   === Baseline plot === </br>
-   norm = 1083.26
-JEC     lnN   1.00732  -
-JER     lnN   1.01521  -
-btag    lnN   1.06507  -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_novo_285_624/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt
deleted file mode 100644
index cd59f2a..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1083.26 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06507    -
-JER       lnN     1.01521   - 
-JEC       lnN     1.00732   -
-trigger   lnN     1.10    -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_novo_285_624/signal450_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_novo_285_624/signal450_sig.log
deleted file mode 100644
index 758dffb..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_450_novo_285_624/signal450_sig.log
+++ /dev/null
@@ -1,849 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   9.40956e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.15795e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   5.60158e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.43253e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.02042e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=3.59834e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.33700e+02   5.20779e-01   1.28024e-03  -4.50888e-02
-   2  sg_p1        2.45512e+01   4.32325e-01   2.13929e-03   2.15071e-02
-   3  sg_p2        4.10000e+02   7.56422e-01   1.62500e-02** at limit **
-   4  sg_p3        9.59075e+01   9.76509e+00   3.57927e-02  -4.80697e-03
-   5  sg_p4        8.98300e-01   1.09856e-02   2.31920e-03   1.35348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.712e-01 -3.295e-02 -7.320e-06 -1.029e+00 -1.066e-03 
- -3.295e-02  1.870e-01  4.421e-06  1.512e+00  2.106e-03 
- -7.320e-06  4.421e-06  3.900e-05  3.605e-04  1.357e-07 
- -1.029e+00  1.512e+00  3.605e-04  1.055e+02  6.647e-02 
- -1.066e-03  2.106e-03  1.357e-07  6.647e-02  1.207e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22083   1.000 -0.146 -0.002 -0.192 -0.186
-        2  0.45738  -0.146  1.000  0.002  0.340  0.443
-        3  0.00601  -0.002  0.002  1.000  0.006  0.002
-        4  0.60064  -0.192  0.340  0.006  1.000  0.589
-        5  0.64515  -0.186  0.443  0.002  0.589  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=3.62828e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.33700e+02   5.22464e-01   2.56047e-04  -3.28756e-01
-   2  sg_p1        2.45512e+01   4.36897e-01   8.55715e-05   3.54316e-01
-   3  sg_p2        4.10000e+02   7.56439e-01   3.24999e-03  -1.56999e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.59075e+01   1.00551e+01   1.43171e-03   1.14101e+00
-   5  sg_p4        8.98300e-01   1.13202e-02   4.63840e-04   9.21649e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.730e-01 -3.575e-02 -2.151e-06 -1.151e+00 -1.179e-03 
- -3.575e-02  1.909e-01  1.441e-06  1.696e+00  2.279e-03 
- -2.151e-06  1.441e-06  3.900e-05  1.093e-04  4.737e-08 
- -1.151e+00  1.696e+00  1.093e-04  1.126e+02  7.452e-02 
- -1.179e-03  2.279e-03  4.737e-08  7.452e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23428   1.000 -0.157 -0.001 -0.208 -0.199
-        2  0.47504  -0.157  1.000  0.001  0.366  0.461
-        3  0.00175  -0.001  0.001  1.000  0.002  0.001
-        4  0.63167  -0.208  0.366  0.002  1.000  0.620
-        5  0.67100  -0.199  0.461  0.001  0.620  1.000
-450
-433.7 +- 0.522464
-24.5512 +- 0.436897
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14967 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   7.30094e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -7.17086e+01
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   4.92262e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   1.24799e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.52207e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM MIGRAD    STATUS=CONVERGED     225 CALLS         226 TOTAL
-                     EDM=1.40963e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.35880e+02   5.28453e-01   1.25742e-03   3.65467e-02
-   2  sg_p1        2.47804e+01   4.36143e-01   2.15058e-03   8.90109e-02
-   3  sg_p2        4.10000e+02   8.41699e-01   1.71227e-02** at limit **
-   4  sg_p3        9.34154e+01   9.89175e+00   2.81029e-02   3.92610e-03
-   5  sg_p4        9.04757e-01   1.10728e-02   2.34320e-03  -1.13912e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.793e-01 -4.062e-02 -3.574e-06 -1.243e+00 -1.334e-03 
- -4.062e-02  1.903e-01  1.963e-06  1.596e+00  2.205e-03 
- -3.574e-06  1.963e-06  1.004e-05  1.505e-04  5.291e-08 
- -1.243e+00  1.596e+00  1.505e-04  1.043e+02  6.945e-02 
- -1.334e-03  2.205e-03  5.291e-08  6.945e-02  1.227e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26417   1.000 -0.176 -0.002 -0.230 -0.228
-        2  0.47132  -0.176  1.000  0.001  0.358  0.457
-        3  0.00513  -0.002  0.001  1.000  0.005  0.002
-        4  0.62620  -0.230  0.358  0.005  1.000  0.614
-        5  0.66724  -0.228  0.457  0.002  0.614  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM HESSE     STATUS=OK             31 CALLS         257 TOTAL
-                     EDM=1.45125e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.35880e+02   5.30103e-01   2.51483e-04  -2.63606e-01
-   2  sg_p1        2.47804e+01   4.39593e-01   4.30116e-04   3.69632e-01
-   3  sg_p2        4.10000e+02   8.41739e-01   3.42455e-03  -1.57118e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.34154e+01   1.01144e+01   1.12412e-03   1.02300e+00
-   5  sg_p4        9.04757e-01   1.13218e-02   9.37280e-05   9.43325e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.810e-01 -4.308e-02 -6.126e-07 -1.344e+00 -1.432e-03 
- -4.308e-02  1.933e-01  3.606e-07  1.730e+00  2.336e-03 
- -6.126e-07  3.606e-07  1.004e-05  2.633e-05  1.041e-08 
- -1.344e+00  1.730e+00  2.633e-05  1.094e+02  7.528e-02 
- -1.432e-03  2.336e-03  1.041e-08  7.528e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27490   1.000 -0.185 -0.000 -0.242 -0.238
-        2  0.48405  -0.185  1.000  0.000  0.376  0.469
-        3  0.00087  -0.000  0.000  1.000  0.001  0.000
-        4  0.64751  -0.242  0.376  0.001  1.000  0.636
-        5  0.68509  -0.238  0.469  0.000  0.636  1.000
-450
-435.88 +- 0.530103
-24.7804 +- 0.439593
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14989.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   1.09913e+03
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.79281e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   6.15691e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.35305e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.43184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM MIGRAD    STATUS=CONVERGED     259 CALLS         260 TOTAL
-                     EDM=2.88948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.31562e+02   5.09368e-01   1.30052e-03  -5.36209e-02
-   2  sg_p1        2.44193e+01   3.99415e-01   2.10037e-03   1.06473e-02
-   3  sg_p2        4.10000e+02   7.22690e-01   1.57718e-02** at limit **
-   4  sg_p3        1.00000e+02   1.55471e+01   7.04637e-02** at limit **
-   5  sg_p4        8.97810e-01   8.75371e-03   2.28074e-03   2.04575e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.470e-02 -3.574e-07  3.497e-04 -3.281e-04 
- -1.470e-02  1.596e-01 -3.286e-08 -5.660e-04  1.020e-03 
- -3.574e-07 -3.286e-08  5.312e-07 -1.926e-08 -7.103e-09 
-  3.497e-04 -5.660e-04 -1.926e-08  1.262e-03 -2.615e-05 
- -3.281e-04  1.020e-03 -7.103e-09 -2.615e-05  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09157   1.000 -0.072 -0.001  0.019 -0.074
-        2  0.29639  -0.072  1.000 -0.000 -0.040  0.292
-        3  0.00174  -0.001 -0.000  1.000 -0.001 -0.001
-        4  0.08650   0.019 -0.040 -0.001  1.000 -0.084
-        5  0.30486  -0.074  0.292 -0.001 -0.084  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM HESSE     STATUS=OK             31 CALLS         291 TOTAL
-                     EDM=2.76365e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.31562e+02   5.09297e-01   2.60104e-04  -3.94063e-01
-   2  sg_p1        2.44193e+01   3.99210e-01   8.40147e-05   3.45541e-01
-   3  sg_p2        4.10000e+02   7.22718e-01   3.15436e-03  -1.57070e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        1.00000e+02   1.57628e+01   1.40927e-02   1.56988e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   5  sg_p4        8.97810e-01   8.72528e-03   9.12295e-05   9.20031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.594e-01 -1.474e-02 -7.385e-08  6.324e-05 -3.205e-04 
- -1.474e-02  1.594e-01 -8.717e-09 -1.029e-04  1.011e-03 
- -7.385e-08 -8.717e-09  5.312e-07 -7.301e-10 -1.575e-09 
-  6.324e-05 -1.029e-04 -7.301e-10  1.280e-03 -4.742e-06 
- -3.205e-04  1.011e-03 -1.575e-09 -4.742e-06  7.615e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09005   1.000 -0.072 -0.000  0.003 -0.072
-        2  0.29480  -0.072  1.000 -0.000 -0.007  0.290
-        3  0.00033  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.01563   0.003 -0.007 -0.000  1.000 -0.015
-        5  0.29498  -0.072  0.290 -0.000 -0.015  1.000
-450
-431.562 +- 0.509297
-24.4193 +- 0.39921
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12740.9 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.59626e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.90307e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.30862e+02
-   4  sg_p3        3.11611e+01   1.40000e+01  -7.72180e-01   1.25776e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.90098e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.72857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53121e+02   3.12103e-01   7.60916e-04  -1.37805e-01
-   2  sg_p1        1.32664e+01   3.51765e-01   1.66864e-03  -1.59663e-01
-   3  sg_p2        4.41850e+02   2.88341e+00   3.42150e-03  -4.30161e-02
-   4  sg_p3        3.99520e+01   3.27521e+00   2.78644e-03  -1.95155e-02
-   5  sg_p4        8.69549e-01   2.03464e-02   2.42525e-03   7.02356e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.741e-02 -2.019e-02 -5.897e-02 -2.380e-01 -1.352e-03 
- -2.019e-02  1.238e-01 -4.014e-01  6.784e-01  5.251e-03 
- -5.897e-02 -4.014e-01  8.322e+00 -4.133e+00 -2.949e-02 
- -2.380e-01  6.784e-01 -4.133e+00  1.074e+01  5.122e-02 
- -1.352e-03  5.251e-03 -2.949e-02  5.122e-02  4.145e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32114   1.000 -0.184 -0.066 -0.233 -0.213
-        2  0.73542  -0.184  1.000 -0.395  0.588  0.733
-        3  0.54335  -0.066 -0.395  1.000 -0.437 -0.502
-        4  0.77539  -0.233  0.588 -0.437  1.000  0.768
-        5  0.85259  -0.213  0.733 -0.502  0.768  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=1.73002e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53121e+02   3.12202e-01   1.52183e-04   1.04231e-01
-   2  sg_p1        1.32664e+01   3.54275e-01   3.33728e-04  -6.67445e-02
-   3  sg_p2        4.41850e+02   2.90658e+00   6.84300e-04   1.24877e-01
-   4  sg_p3        3.99520e+01   3.31061e+00   1.11458e-04  -6.09081e-01
-   5  sg_p4        8.69549e-01   2.05823e-02   4.85050e-04   8.31731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.747e-02 -2.060e-02 -5.492e-02 -2.421e-01 -1.378e-03 
- -2.060e-02  1.256e-01 -4.183e-01  6.988e-01  5.382e-03 
- -5.492e-02 -4.183e-01  8.456e+00 -4.334e+00 -3.074e-02 
- -2.421e-01  6.988e-01 -4.334e+00  1.097e+01  5.275e-02 
- -1.378e-03  5.382e-03 -3.074e-02  5.275e-02  4.242e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32202   1.000 -0.186 -0.060 -0.234 -0.214
-        2  0.73982  -0.186  1.000 -0.406  0.595  0.738
-        3  0.55356  -0.060 -0.406  1.000 -0.450 -0.513
-        4  0.78084  -0.234  0.595 -0.450  1.000  0.773
-        5  0.85624  -0.214  0.738 -0.513  0.773  1.000
-450
-453.121 +- 0.312202
-13.2664 +- 0.354275
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.2 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.71963e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.47720e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.59810e+02
-   4  sg_p3        3.20356e+01   1.40000e+01  -7.54886e-01   1.25318e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.92447e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=5.05245e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53816e+02   3.21132e-01   7.83772e-04  -7.95633e-02
-   2  sg_p1        1.33997e+01   3.69195e-01   1.71799e-03   1.80096e-01
-   3  sg_p2        4.44337e+02   2.53515e+00   3.11461e-03  -5.82291e-02
-   4  sg_p3        3.80604e+01   2.91065e+00   2.47607e-03   7.49358e-02
-   5  sg_p4        8.58912e-01   2.26324e-02   2.50700e-03  -6.85706e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.031e-01 -2.126e-02 -8.734e-02 -2.148e-01 -1.521e-03 
- -2.126e-02  1.364e-01 -3.383e-01  6.405e-01  6.246e-03 
- -8.734e-02 -3.383e-01  6.432e+00 -2.789e+00 -2.624e-02 
- -2.148e-01  6.405e-01 -2.789e+00  8.480e+00  5.167e-02 
- -1.521e-03  6.246e-03 -2.624e-02  5.167e-02  5.129e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33218   1.000 -0.179 -0.107 -0.230 -0.209
-        2  0.74782  -0.179  1.000 -0.361  0.596  0.747
-        3  0.50601  -0.107 -0.361  1.000 -0.378 -0.457
-        4  0.78747  -0.230  0.596 -0.378  1.000  0.784
-        5  0.86569  -0.209  0.747 -0.457  0.784  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=5.14272e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53816e+02   3.21170e-01   1.56754e-04   1.27552e-01
-   2  sg_p1        1.33997e+01   3.71529e-01   3.43597e-04  -5.45997e-02
-   3  sg_p2        4.44337e+02   2.55137e+00   6.22923e-04   1.70589e-01
-   4  sg_p3        3.80604e+01   2.93737e+00   9.90429e-05  -6.42423e-01
-   5  sg_p4        8.58912e-01   2.28649e-02   5.01401e-04   8.00670e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.032e-01 -2.159e-02 -8.447e-02 -2.173e-01 -1.542e-03 
- -2.159e-02  1.381e-01 -3.519e-01  6.569e-01  6.381e-03 
- -8.447e-02 -3.519e-01  6.514e+00 -2.922e+00 -2.730e-02 
- -2.173e-01  6.569e-01 -2.922e+00  8.636e+00  5.298e-02 
- -1.542e-03  6.381e-03 -2.730e-02  5.298e-02  5.236e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33250   1.000 -0.181 -0.103 -0.230 -0.210
-        2  0.75151  -0.181  1.000 -0.371  0.602  0.750
-        3  0.51526  -0.103 -0.371  1.000 -0.390 -0.467
-        4  0.79182  -0.230  0.602 -0.390  1.000  0.788
-        5  0.86862  -0.210  0.750 -0.467  0.788  1.000
-450
-453.816 +- 0.32117
-13.3997 +- 0.371529
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12450.5 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -7.89096e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.29312e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.41083e+02
-   4  sg_p3        2.97404e+01   1.40000e+01  -8.00916e-01   5.32420e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.78505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=9.81901e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.52649e+02   2.99257e-01   7.27117e-04  -1.85651e-01
-   2  sg_p1        1.29215e+01   3.26230e-01   1.60240e-03  -1.04599e-01
-   3  sg_p2        4.39500e+02   3.30234e+00   3.79402e-03  -2.47036e-02
-   4  sg_p3        4.23678e+01   3.70551e+00   3.18328e-03  -2.16927e-02
-   5  sg_p4        8.78387e-01   1.75288e-02   2.31775e-03   5.63843e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.956e-02 -1.634e-02 -3.809e-02 -2.386e-01 -1.021e-03 
- -1.634e-02  1.065e-01 -4.382e-01  6.785e-01  4.010e-03 
- -3.809e-02 -4.382e-01  1.092e+01 -5.893e+00 -3.008e-02 
- -2.386e-01  6.785e-01 -5.893e+00  1.375e+01  4.755e-02 
- -1.021e-03  4.010e-03 -3.008e-02  4.755e-02  3.076e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29182   1.000 -0.167 -0.039 -0.215 -0.195
-        2  0.70607  -0.167  1.000 -0.406  0.561  0.701
-        3  0.56523  -0.039 -0.406  1.000 -0.481 -0.519
-        4  0.74887  -0.215  0.561 -0.481  1.000  0.731
-        5  0.82206  -0.195  0.701 -0.519  0.731  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM HESSE     STATUS=OK             31 CALLS         249 TOTAL
-                     EDM=9.82123e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.52649e+02   2.99376e-01   1.45423e-04   8.84175e-02
-   2  sg_p1        1.29215e+01   3.28560e-01   3.20481e-04  -9.82038e-02
-   3  sg_p2        4.39500e+02   3.33339e+00   7.58805e-04   8.19031e-02
-   4  sg_p3        4.23678e+01   3.74990e+00   1.27331e-04  -5.67592e-01
-   5  sg_p4        8.78387e-01   1.77374e-02   4.63550e-04   8.58362e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.963e-02 -1.673e-02 -3.321e-02 -2.436e-01 -1.045e-03 
- -1.673e-02  1.080e-01 -4.573e-01  7.011e-01  4.116e-03 
- -3.321e-02 -4.573e-01  1.113e+01 -6.187e+00 -3.140e-02 
- -2.436e-01  7.011e-01 -6.187e+00  1.408e+01  4.914e-02 
- -1.045e-03  4.116e-03 -3.140e-02  4.914e-02  3.149e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29306   1.000 -0.170 -0.033 -0.217 -0.197
-        2  0.71107  -0.170  1.000 -0.417  0.569  0.706
-        3  0.57630  -0.033 -0.417  1.000 -0.494 -0.531
-        4  0.75573  -0.217  0.569 -0.494  1.000  0.738
-        5  0.82667  -0.197  0.706 -0.531  0.738  1.000
-450
-452.649 +- 0.299376
-12.9215 +- 0.32856
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12485 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.28524e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.76932e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.07179e+02
-   4  sg_p3        3.15199e+01   1.40000e+01  -7.65049e-01   1.17013e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.75418e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=8.2003e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53041e+02   3.16233e-01   7.67663e-04  -4.53747e-01
-   2  sg_p1        1.34606e+01   3.60067e-01   1.68094e-03  -2.56821e-01
-   3  sg_p2        4.42647e+02   3.03755e+00   3.65255e-03  -7.93949e-02
-   4  sg_p3        4.13701e+01   3.70699e+00   3.03411e-03  -1.62102e-02
-   5  sg_p4        8.74490e-01   2.02974e-02   2.42550e-03   1.44185e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.000e-01 -1.902e-02 -8.059e-02 -2.487e-01 -1.247e-03 
- -1.902e-02  1.297e-01 -4.096e-01  8.024e-01  5.385e-03 
- -8.059e-02 -4.096e-01  9.236e+00 -4.749e+00 -2.911e-02 
- -2.487e-01  8.024e-01 -4.749e+00  1.376e+01  5.850e-02 
- -1.247e-03  5.385e-03 -2.911e-02  5.850e-02  4.125e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30405   1.000 -0.167 -0.084 -0.212 -0.194
-        2  0.73858  -0.167  1.000 -0.374  0.601  0.736
-        3  0.51688  -0.084 -0.374  1.000 -0.421 -0.472
-        4  0.78361  -0.212  0.601 -0.421  1.000  0.776
-        5  0.85381  -0.194  0.736 -0.472  0.776  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM HESSE     STATUS=OK             31 CALLS         238 TOTAL
-                     EDM=8.28097e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53041e+02   3.16314e-01   1.53533e-04   1.01529e-01
-   2  sg_p1        1.34606e+01   3.62947e-01   3.36188e-04  -4.90533e-02
-   3  sg_p2        4.42647e+02   3.06302e+00   7.30509e-04   1.39482e-01
-   4  sg_p3        4.13701e+01   3.75314e+00   1.21364e-04  -5.84588e-01
-   5  sg_p4        8.74490e-01   2.05612e-02   4.85100e-04   8.46520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.001e-01 -1.944e-02 -7.634e-02 -2.533e-01 -1.273e-03 
- -1.944e-02  1.318e-01 -4.295e-01  8.293e-01  5.535e-03 
- -7.634e-02 -4.295e-01  9.392e+00 -5.013e+00 -3.054e-02 
- -2.533e-01  8.293e-01 -5.013e+00  1.411e+01  6.046e-02 
- -1.273e-03  5.535e-03 -3.054e-02  6.046e-02  4.233e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30482   1.000 -0.169 -0.079 -0.213 -0.196
-        2  0.74343  -0.169  1.000 -0.386  0.608  0.741
-        3  0.52851  -0.079 -0.386  1.000 -0.436 -0.484
-        4  0.78960  -0.213  0.608 -0.436  1.000  0.782
-        5  0.85785  -0.196  0.741 -0.484  0.782  1.000
-450
-453.041 +- 0.316314
-13.4606 +- 0.362947
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.1 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.34152e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.79811e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -1.07673e+03
-   4  sg_p3        2.91978e+01   1.40000e+01  -8.12117e-01  -1.15313e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.79673e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM MIGRAD    STATUS=CONVERGED     214 CALLS         215 TOTAL
-                     EDM=2.54338e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53203e+02   3.05272e-01   7.48199e-04   1.37509e-01
-   2  sg_p1        1.33442e+01   3.36784e-01   1.63030e-03  -1.73887e-01
-   3  sg_p2        4.40023e+02   3.36501e+00   3.85092e-03  -4.69572e-02
-   4  sg_p3        4.14043e+01   3.72019e+00   3.17044e-03  -1.58965e-02
-   5  sg_p4        8.85415e-01   1.84477e-02   2.39174e-03   8.69592e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.319e-02 -1.886e-02 -3.146e-02 -2.700e-01 -1.210e-03 
- -1.886e-02  1.135e-01 -4.902e-01  7.251e-01  4.482e-03 
- -3.146e-02 -4.902e-01  1.134e+01 -6.160e+00 -3.421e-02 
- -2.700e-01  7.251e-01 -6.160e+00  1.386e+01  5.193e-02 
- -1.210e-03  4.482e-03 -3.421e-02  5.193e-02  3.407e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31564   1.000 -0.183 -0.031 -0.238 -0.215
-        2  0.72421  -0.183  1.000 -0.432  0.578  0.721
-        3  0.58870  -0.031 -0.432  1.000 -0.491 -0.551
-        4  0.76796  -0.238  0.578 -0.491  1.000  0.756
-        5  0.84414  -0.215  0.721 -0.551  0.756  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM HESSE     STATUS=OK             31 CALLS         246 TOTAL
-                     EDM=2.55427e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53203e+02   3.05429e-01   1.49640e-04   1.06973e-01
-   2  sg_p1        1.33442e+01   3.39511e-01   3.26061e-04  -5.96515e-02
-   3  sg_p2        4.40023e+02   3.39967e+00   7.70184e-04   9.14550e-02
-   4  sg_p3        4.14043e+01   3.76783e+00   1.26818e-04  -5.84003e-01
-   5  sg_p4        8.85415e-01   1.86940e-02   4.78349e-04   8.80144e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.329e-02 -1.935e-02 -2.553e-02 -2.761e-01 -1.241e-03 
- -1.935e-02  1.153e-01 -5.124e-01  7.508e-01  4.612e-03 
- -2.553e-02 -5.124e-01  1.157e+01 -6.480e+00 -3.578e-02 
- -2.761e-01  7.508e-01 -6.480e+00  1.422e+01  5.377e-02 
- -1.241e-03  4.612e-03 -3.578e-02  5.377e-02  3.499e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31711   1.000 -0.187 -0.025 -0.240 -0.217
-        2  0.72945  -0.187  1.000 -0.444  0.586  0.726
-        3  0.59988  -0.025 -0.444  1.000 -0.505 -0.562
-        4  0.77464  -0.240  0.586 -0.505  1.000  0.762
-        5  0.84859  -0.217  0.726 -0.562  0.762  1.000
-450
-453.203 +- 0.305429
-13.3442 +- 0.339511
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11934 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.21817e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.66012e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.28921e+02
-   4  sg_p3        3.02910e+01   1.40000e+01  -7.89682e-01   6.24982e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.41964e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=3.59163e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53125e+02   3.22437e-01   7.59830e-04   3.14030e-01
-   2  sg_p1        1.32568e+01   3.64776e-01   1.66662e-03   1.31711e-01
-   3  sg_p2        4.41914e+02   2.96380e+00   3.40318e-03  -1.73168e-02
-   4  sg_p3        3.96954e+01   3.35557e+00   2.76524e-03  -2.51020e-02
-   5  sg_p4        8.69980e-01   2.12003e-02   2.43138e-03   2.99659e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.192e-02 -6.249e-02 -2.549e-01 -1.475e-03 
- -2.192e-02  1.331e-01 -4.296e-01  7.236e-01  5.697e-03 
- -6.249e-02 -4.296e-01  8.793e+00 -4.343e+00 -3.167e-02 
- -2.549e-01  7.236e-01 -4.343e+00  1.127e+01  5.485e-02 
- -1.475e-03  5.697e-03 -3.167e-02  5.485e-02  4.500e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32406   1.000 -0.186 -0.065 -0.235 -0.216
-        2  0.73815  -0.186  1.000 -0.397  0.591  0.736
-        3  0.54427  -0.065 -0.397  1.000 -0.436 -0.503
-        4  0.77722  -0.235  0.591 -0.436  1.000  0.770
-        5  0.85485  -0.216  0.736 -0.503  0.770  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=3.63213e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53125e+02   3.22540e-01   1.51966e-04   1.04341e-01
-   2  sg_p1        1.32568e+01   3.67383e-01   3.33325e-04  -6.76154e-02
-   3  sg_p2        4.41914e+02   2.98753e+00   6.80636e-04   1.26049e-01
-   4  sg_p3        3.96954e+01   3.39157e+00   1.10610e-04  -6.13558e-01
-   5  sg_p4        8.69980e-01   2.14457e-02   4.86276e-04   8.33011e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.236e-02 -5.816e-02 -2.592e-01 -1.503e-03 
- -2.236e-02  1.350e-01 -4.476e-01  7.452e-01  5.838e-03 
- -5.816e-02 -4.476e-01  8.934e+00 -4.553e+00 -3.300e-02 
- -2.592e-01  7.452e-01 -4.553e+00  1.152e+01  5.647e-02 
- -1.503e-03  5.838e-03 -3.300e-02  5.647e-02  4.605e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32494   1.000 -0.189 -0.060 -0.237 -0.217
-        2  0.74250  -0.189  1.000 -0.408  0.598  0.740
-        3  0.55442  -0.060 -0.408  1.000 -0.449 -0.514
-        4  0.78258  -0.237  0.598 -0.449  1.000  0.775
-        5  0.85843  -0.217  0.740 -0.514  0.775  1.000
-450
-453.125 +- 0.32254
-13.2568 +- 0.367383
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13588.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.01194e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.14820e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.36931e+02
-   4  sg_p3        3.19529e+01   1.40000e+01  -7.56508e-01   1.83311e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.40586e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=2.9635e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53119e+02   3.02295e-01   7.61866e-04  -3.75062e-01
-   2  sg_p1        1.32780e+01   3.39541e-01   1.67011e-03  -9.46376e-02
-   3  sg_p2        4.41784e+02   2.80838e+00   3.43889e-03  -7.54198e-02
-   4  sg_p3        4.02094e+01   3.20169e+00   2.80752e-03   5.20848e-02
-   5  sg_p4        8.69165e-01   1.95466e-02   2.41927e-03  -3.07790e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.139e-02 -1.864e-02 -5.556e-02 -2.229e-01 -1.243e-03 
- -1.864e-02  1.153e-01 -3.761e-01  6.379e-01  4.851e-03 
- -5.556e-02 -3.761e-01  7.894e+00 -3.947e+00 -2.754e-02 
- -2.229e-01  6.379e-01 -3.947e+00  1.026e+01  4.798e-02 
- -1.243e-03  4.851e-03 -2.754e-02  4.798e-02  3.825e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31836   1.000 -0.182 -0.065 -0.230 -0.210
-        2  0.73280  -0.182  1.000 -0.394  0.586  0.730
-        3  0.54277  -0.065 -0.394  1.000 -0.439 -0.501
-        4  0.77378  -0.230  0.586 -0.439  1.000  0.766
-        5  0.85046  -0.210  0.730 -0.501  0.766  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM HESSE     STATUS=OK             31 CALLS         237 TOTAL
-                     EDM=2.98129e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53119e+02   3.02390e-01   1.52373e-04   1.04142e-01
-   2  sg_p1        1.32780e+01   3.41962e-01   3.34022e-04  -6.56836e-02
-   3  sg_p2        4.41784e+02   2.83105e+00   6.87778e-04   1.23663e-01
-   4  sg_p3        4.02094e+01   3.23660e+00   1.12301e-04  -6.04605e-01
-   5  sg_p4        8.69165e-01   1.97739e-02   4.83854e-04   8.30589e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.144e-02 -1.903e-02 -5.175e-02 -2.268e-01 -1.268e-03 
- -1.903e-02  1.170e-01 -3.920e-01  6.571e-01  4.973e-03 
- -5.175e-02 -3.920e-01  8.022e+00 -4.140e+00 -2.871e-02 
- -2.268e-01  6.571e-01 -4.140e+00  1.049e+01  4.942e-02 
- -1.268e-03  4.973e-03 -2.871e-02  4.942e-02  3.915e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31924   1.000 -0.184 -0.060 -0.232 -0.212
-        2  0.73725  -0.184  1.000 -0.405  0.593  0.735
-        3  0.55306  -0.060 -0.405  1.000 -0.451 -0.512
-        4  0.77932  -0.232  0.593 -0.451  1.000  0.771
-        5  0.85417  -0.212  0.735 -0.512  0.771  1.000
-450
-453.119 +- 0.30239
-13.278 +- 0.341962
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 72 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 80 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 453.121 +- 0.312202 (stat) - 0.472204 + 0.694919 (syst); -0.497337/+0.712236 (total)
-   Uncertainty on sg_p1 = 13.2664 +- 0.354275 (stat) - 0.344861 + 0.194275 (syst); -0.387695/+0.262907 (total)
-   Uncertainty on sg_p2 = 441.85 +- 2.90658 (stat) - 2.35076 + 2.48654 (syst); -2.76371/+2.88009 (total)
-   Uncertainty on sg_p3 = 39.952 +- 3.31061 (stat) - 1.8916 + 2.41576 (syst); -2.5136/+2.92847 (total)
-   Uncertainty on sg_p4 = 0.869549 +- 0.0205823 (stat) - 0.0106377 + 0.015866 (syst); -0.0148009/+0.0189113 (total) 
-   === Baseline plot === </br>
-   norm = 1083.26
-JEC     lnN   1.00732  -
-JER     lnN   1.01521  -
-btag    lnN   1.06507  -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt
deleted file mode 100644
index 12fc437..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1319.62 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06496    -
-JER       lnN     1.01686   - 
-JEC       lnN     1.00347   -
-trigger   lnN     1.10    -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_crystal_1_285_624/signal500_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_crystal_1_285_624/signal500_sig.log
deleted file mode 100644
index 3014dec..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_crystal_1_285_624/signal500_sig.log
+++ /dev/null
@@ -1,916 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18297.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   4.88508e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.52283e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.04492e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.27139e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.31849e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM MIGRAD    STATUS=CONVERGED     270 CALLS         271 TOTAL
-                     EDM=0.000209103    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.82781e+02   4.91816e-01   1.54936e-03   4.63902e-01
-   2  sg_p1        2.77322e+01   3.77130e-01   2.11298e-03  -7.95545e-04
-   3  sg_p2        4.00000e+02   7.22234e+00   3.62181e-02   1.52038e-02
-   4  sg_p3        9.99995e+01   7.83688e+00   5.52124e-02  -1.33082e-02
-   5  sg_p4        9.49597e-01   5.34566e-03   2.17525e-03   3.38347e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.201e-02  7.239e-06  6.832e-04 -2.726e-04 
- -1.201e-02  1.423e-01 -5.971e-04  4.705e-05  4.980e-04 
-  7.239e-06 -5.971e-04  7.635e-03 -3.089e-06 -2.189e-05 
-  6.832e-04  4.705e-05 -3.089e-06  1.671e-02  2.174e-06 
- -2.726e-04  4.980e-04 -2.189e-05  2.174e-06  2.858e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11194   1.000 -0.065  0.000  0.011 -0.104
-        2  0.25018  -0.065  1.000 -0.018  0.001  0.247
-        3  0.04761   0.000 -0.018  1.000 -0.000 -0.047
-        4  0.01159   0.011  0.001 -0.000  1.000  0.003
-        5  0.26559  -0.104  0.247 -0.047  0.003  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM HESSE     STATUS=OK             31 CALLS         302 TOTAL
-                     EDM=0.000214101    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.82781e+02   4.91810e-01   3.09872e-04  -2.43026e-01
-   2  sg_p1        2.77322e+01   3.77150e-01   8.45194e-05   2.59399e-01
-   3  sg_p2        4.00000e+02   7.23045e+00   7.24363e-03  -1.56845e+00
-   4  sg_p3        9.99995e+01   7.86694e+00   1.10425e-02   1.56600e+00
-   5  sg_p4        9.49597e-01   5.34101e-03   4.35051e-04   1.11793e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.221e-02  2.317e-06  2.181e-05 -2.728e-04 
- -1.221e-02  1.423e-01 -1.751e-04  1.477e-06  4.978e-04 
-  2.317e-06 -1.751e-04  7.644e-03 -2.852e-08 -6.407e-06 
-  2.181e-05  1.477e-06 -2.852e-08  1.678e-02  6.944e-08 
- -2.728e-04  4.978e-04 -6.407e-06  6.944e-08  2.853e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11182   1.000 -0.066  0.000  0.000 -0.104
-        2  0.25038  -0.066  1.000 -0.005  0.000  0.247
-        3  0.01394   0.000 -0.005  1.000 -0.000 -0.014
-        4  0.00037   0.000  0.000 -0.000  1.000  0.000
-        5  0.26252  -0.104  0.247 -0.014  0.000  1.000
-500
-482.781 +- 0.49181
-27.7322 +- 0.37715
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18169.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   3.31882e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   8.82382e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   9.40789e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.28474e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.45518e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM MIGRAD    STATUS=CONVERGED     298 CALLS         299 TOTAL
-                     EDM=6.02039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.84762e+02   4.94191e-01   1.52434e-03   1.30913e-01
-   2  sg_p1        2.76557e+01   3.74902e-01   2.09728e-03   4.83776e-02
-   3  sg_p2        4.00000e+02   4.37949e+00   2.80592e-02** at limit **
-   4  sg_p3        9.99992e+01   6.41285e+01   1.21382e-01   2.55150e-03
-   5  sg_p4        9.47779e-01   5.38139e-03   2.15294e-03  -2.62881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.442e-01 -1.391e-02  1.965e-06  1.328e-02 -2.985e-04 
- -1.391e-02  1.406e-01 -2.130e-05 -8.696e-04  4.743e-04 
-  1.965e-06 -2.130e-05  4.142e-05 -4.503e-06 -8.642e-07 
-  1.328e-02 -8.696e-04 -4.503e-06  1.378e-01  3.311e-05 
- -2.985e-04  4.743e-04 -8.642e-07  3.311e-05  2.896e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14334   1.000 -0.075  0.001  0.072 -0.112
-        2  0.24021  -0.075  1.000 -0.009 -0.006  0.235
-        3  0.02528   0.001 -0.009  1.000 -0.002 -0.025
-        4  0.07681   0.072 -0.006 -0.002  1.000  0.017
-        5  0.25571  -0.112  0.235 -0.025  0.017  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM HESSE     STATUS=OK             35 CALLS         334 TOTAL
-                     EDM=5.16959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.84762e+02   5.00293e-01   3.04869e-04  -1.75493e-01
-   2  sg_p1        2.76557e+01   3.74977e-01   8.38911e-05   2.54605e-01
-   3  sg_p2        4.00000e+02   4.38207e+00   5.61185e-03  -1.57057e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.99992e+01   1.55865e+01   4.95239e-01   1.57658e+00
-   5  sg_p4        9.47779e-01   5.38465e-03   4.30589e-04   1.10968e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.503e-01 -1.437e-02 -1.054e-07  1.912e-02 -2.821e-04 
- -1.437e-02  1.406e-01 -4.527e-06 -8.788e-04  4.745e-04 
- -1.054e-07 -4.527e-06  4.144e-05 -1.618e-06 -1.856e-07 
-  1.912e-02 -8.788e-04 -1.618e-06  4.993e-02  5.148e-05 
- -2.821e-04  4.745e-04 -1.856e-07  5.148e-05  2.900e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21046   1.000 -0.077 -0.000  0.171 -0.105
-        2  0.24099  -0.077  1.000 -0.002 -0.010  0.235
-        3  0.00549  -0.000 -0.002  1.000 -0.001 -0.005
-        4  0.18195   0.171 -0.010 -0.001  1.000  0.043
-        5  0.25791  -0.105  0.235 -0.005  0.043  1.000
-500
-484.762 +- 0.500293
-27.6557 +- 0.374977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18067.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   6.30906e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.68366e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.15954e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.16092e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.26605e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=3.64156e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.80603e+02   4.87655e-01   1.55641e-03   1.00438e-01
-   2  sg_p1        2.73597e+01   3.75999e-01   2.07241e-03  -3.88766e-02
-   3  sg_p2        4.00000e+02   7.70615e+00   3.73444e-02  -1.20875e-02
-   4  sg_p3        9.99999e+01   9.07676e+00   5.91616e-02   4.30185e-03
-   5  sg_p4        9.52020e-01   5.29904e-03   2.18424e-03  -2.42849e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.252e-02  1.605e-06  3.978e-04 -2.735e-04 
- -1.252e-02  1.414e-01 -4.268e-04  1.441e-06  5.110e-04 
-  1.605e-06 -4.268e-04  5.890e-03 -4.600e-07 -1.533e-05 
-  3.978e-04  1.441e-06 -4.600e-07  2.758e-03  4.935e-07 
- -2.735e-04  5.110e-04 -1.533e-05  4.935e-07  2.809e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11523   1.000 -0.068  0.000  0.016 -0.106
-        2  0.25980  -0.068  1.000 -0.015  0.000  0.256
-        3  0.03828   0.000 -0.015  1.000 -0.000 -0.038
-        4  0.01591   0.016  0.000 -0.000  1.000  0.002
-        5  0.27342  -0.106  0.256 -0.038  0.002  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM HESSE     STATUS=OK             31 CALLS         311 TOTAL
-                     EDM=3.66903e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.80603e+02   4.87622e-01   3.11281e-04  -3.18584e-01
-   2  sg_p1        2.73597e+01   3.76029e-01   8.28962e-05   2.36108e-01
-   3  sg_p2        4.00000e+02   7.72173e+00   7.46888e-03  -1.57279e+00
-   4  sg_p3        9.99999e+01   9.11980e+00   1.18323e-02   1.57260e+00
-   5  sg_p4        9.52020e-01   5.29594e-03   8.73698e-05   1.12913e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.272e-02  2.233e-07  9.824e-05 -2.737e-04 
- -1.272e-02  1.414e-01 -4.487e-05  2.340e-07  5.111e-04 
-  2.233e-07 -4.487e-05  5.902e-03 -1.148e-08 -1.609e-06 
-  9.824e-05  2.340e-07 -1.148e-08  2.771e-03  1.224e-07 
- -2.737e-04  5.111e-04 -1.609e-06  1.224e-07  2.805e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11467   1.000 -0.069  0.000  0.004 -0.106
-        2  0.26008  -0.069  1.000 -0.002  0.000  0.257
-        3  0.00402   0.000 -0.002  1.000 -0.000 -0.004
-        4  0.00392   0.004  0.000 -0.000  1.000  0.000
-        5  0.27142  -0.106  0.257 -0.004  0.000  1.000
-500
-480.603 +- 0.487622
-27.3597 +- 0.376029
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16835.6 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.93448e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.78837e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66272e+02
-   4  sg_p3        4.24477e+01   1.40000e+01  -5.66239e-01   4.08068e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.94465e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.0123886    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03549e+02   3.01469e-01   1.32569e-03   7.22248e-02
-   2  sg_p1        1.64694e+01   2.69674e-01   1.82958e-03   1.11175e-01
-   3  sg_p2        4.52623e+02   1.84688e+01   1.67733e-02  -5.64013e-01
-   4  sg_p3        1.31659e+02   2.60244e+01   4.76520e-02  -2.04899e-01
-   5  sg_p4        9.27815e-01   7.08262e-03   2.04007e-03  -6.32432e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16163.1 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=1.39803e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03541e+02   3.02714e-01  -6.04564e-05  -2.41635e-02
-   2  sg_p1        1.64684e+01   2.71856e-01   1.82456e-04   2.35248e-02
-   3  sg_p2        4.54550e+02   1.81378e+01  -3.71817e-04   2.34305e-03
-   4  sg_p3        1.35056e+02   2.96709e+01   1.70336e-02  -8.15967e-03
-   5  sg_p4        9.27449e-01   7.04529e-03   2.19134e-05  -1.27756e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.164e-02 -7.657e-03 -1.012e-01 -1.679e+00 -7.191e-05 
- -7.657e-03  7.392e-02 -1.518e+00  2.592e+00  7.352e-04 
- -1.012e-01 -1.518e+00  3.340e+02 -8.231e+01 -5.363e-02 
- -1.679e+00  2.592e+00 -8.231e+01  1.069e+03 -1.492e-03 
- -7.191e-05  7.352e-04 -5.363e-02 -1.492e-03  4.965e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18907   1.000 -0.093 -0.018 -0.170 -0.034
-        2  0.49868  -0.093  1.000 -0.305  0.292  0.384
-        3  0.45946  -0.018 -0.305  1.000 -0.138 -0.416
-        4  0.36545  -0.170  0.292 -0.138  1.000 -0.006
-        5  0.51683  -0.034  0.384 -0.416 -0.006  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             39 CALLS         333 TOTAL
-                     EDM=4.95712e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03541e+02   3.01948e-01   1.32548e-03   1.78010e-01
-   2  sg_p1        1.64684e+01   2.69373e-01   1.82921e-03  -1.77589e-01
-   3  sg_p2        4.54550e+02   1.88889e+01   1.71373e-02  -4.39830e-01
-   4  sg_p3        1.35056e+02   2.91667e+01   5.83968e-02   9.05144e-01
-   5  sg_p4        9.27449e-01   7.08973e-03   2.04457e-03   1.02536e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.118e-02 -6.694e-03 -1.967e-01 -1.492e+00 -6.118e-05 
- -6.694e-03  7.258e-02 -1.499e+00  2.192e+00  7.371e-04 
- -1.967e-01 -1.499e+00  3.627e+02 -4.939e+01 -5.738e-02 
- -1.492e+00  2.192e+00 -4.939e+01  1.025e+03 -5.946e-03 
- -6.118e-05  7.371e-04 -5.738e-02 -5.946e-03  5.028e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17693   1.000 -0.082 -0.034 -0.154 -0.029
-        2  0.48331  -0.082  1.000 -0.292  0.254  0.386
-        3  0.45514  -0.034 -0.292  1.000 -0.081 -0.425
-        4  0.32411  -0.154  0.254 -0.081  1.000 -0.026
-        5  0.52326  -0.029  0.386 -0.425 -0.026  1.000
-500
-503.541 +- 0.301948
-16.4684 +- 0.269373
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16739.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.55651e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.48786e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.68451e+02
-   4  sg_p3        4.32221e+01   1.40000e+01  -5.53184e-01   1.18283e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.96034e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=8.68132e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.04220e+02   3.07707e-01   1.35237e-03   1.08303e-01
-   2  sg_p1        1.66795e+01   2.77507e-01   1.84894e-03   6.94551e-02
-   3  sg_p2        4.62822e+02   1.91078e+01   1.68854e-02  -1.14748e-02
-   4  sg_p3        1.35582e+02   3.03789e+01   6.57946e-02   1.08838e-02
-   5  sg_p4        9.28230e-01   7.23504e-03   2.06982e-03  -3.02724e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.469e-02 -7.947e-03 -3.583e-01 -1.715e+00 -8.078e-05 
- -7.947e-03  7.703e-02 -1.315e+00  2.634e+00  8.091e-04 
- -3.583e-01 -1.315e+00  3.708e+02  4.728e+01 -6.075e-02 
- -1.715e+00  2.634e+00  4.728e+01  1.145e+03  2.032e-03 
- -8.078e-05  8.091e-04 -6.075e-02  2.032e-03  5.236e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18853   1.000 -0.093 -0.060 -0.165 -0.036
-        2  0.50124  -0.093  1.000 -0.246  0.281  0.403
-        3  0.46006  -0.060 -0.246  1.000  0.073 -0.436
-        4  0.34759  -0.165  0.281  0.073  1.000  0.008
-        5  0.53639  -0.036  0.403 -0.436  0.008  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM HESSE     STATUS=OK             31 CALLS         345 TOTAL
-                     EDM=9.10947e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.04220e+02   3.08377e-01   2.70474e-04   2.12615e-01
-   2  sg_p1        1.66795e+01   2.80568e-01   3.69788e-04  -1.58971e-01
-   3  sg_p2        4.62822e+02   1.90695e+01   6.75418e-04  -3.45556e-01
-   4  sg_p3        1.35582e+02   3.07077e+01   2.63178e-03   9.17410e-01
-   5  sg_p4        9.28230e-01   7.23811e-03   4.13965e-04   1.02837e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.510e-02 -8.877e-03 -3.212e-01 -1.872e+00 -9.078e-05 
- -8.877e-03  7.873e-02 -1.370e+00  3.011e+00  8.254e-04 
- -3.212e-01 -1.370e+00  3.693e+02  2.368e+01 -6.065e-02 
- -1.872e+00  3.011e+00  2.368e+01  1.177e+03  7.626e-03 
- -9.078e-05  8.254e-04 -6.065e-02  7.626e-03  5.240e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19932   1.000 -0.103 -0.054 -0.177 -0.041
-        2  0.51720  -0.103  1.000 -0.254  0.313  0.406
-        3  0.45661  -0.054 -0.254  1.000  0.036 -0.436
-        4  0.36806  -0.177  0.313  0.036  1.000  0.031
-        5  0.53695  -0.041  0.406 -0.436  0.031  1.000
-500
-504.22 +- 0.308377
-16.6795 +- 0.280568
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.23108e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.18946e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.42436e+02
-   4  sg_p3        4.43542e+01   1.40000e+01  -5.34286e-01   2.49400e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.66244e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             37 CALLS         242 TOTAL
-                     EDM=0.000693776    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02838e+02   2.97826e-01   1.28795e-03  -1.05531e-02
-   2  sg_p1        1.60782e+01   2.67978e-01   1.80577e-03   2.44112e-02
-   3  sg_p2        4.64332e+02   1.37627e+01   1.17387e-02   2.07821e-01
-   4  sg_p3        1.14468e+02   2.01486e+01   2.64964e-02   5.48597e-02
-   5  sg_p4        9.27839e-01   7.15691e-03   2.03796e-03   1.57814e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15889.1 FROM MIGRAD    STATUS=CONVERGED     254 CALLS         255 TOTAL
-                     EDM=9.17556e-06    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.8 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02840e+02   2.97434e-01   8.32709e-05  -7.82024e-03
-   2  sg_p1        1.60782e+01   2.67892e-01  -2.85162e-06   4.43301e-03
-   3  sg_p2        4.63894e+02   1.38330e+01  -4.87307e-03  -3.70669e-03
-   4  sg_p3        1.14016e+02   1.92315e+01  -7.40995e-03  -1.25650e-02
-   5  sg_p4        9.27892e-01   7.16442e-03   2.06750e-04   1.26344e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.847e-02 -6.452e-03 -2.568e-01 -8.771e-01 -8.776e-05 
- -6.452e-03  7.178e-02 -9.238e-01  1.447e+00  8.030e-04 
- -2.568e-01 -9.238e-01  1.929e+02  9.107e+00 -4.221e-02 
- -8.771e-01  1.447e+00  9.107e+00  3.827e+02  1.223e-02 
- -8.776e-05  8.030e-04 -4.221e-02  1.223e-02  5.134e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17624   1.000 -0.081 -0.062 -0.151 -0.041
-        2  0.49356  -0.081  1.000 -0.248  0.276  0.418
-        3  0.44761  -0.062 -0.248  1.000  0.034 -0.424
-        4  0.31902  -0.151  0.276  0.034  1.000  0.087
-        5  0.53440  -0.041  0.418 -0.424  0.087  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             39 CALLS         294 TOTAL
-                     EDM=3.03558e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.02840e+02   2.97751e-01   5.15179e-04   1.42457e-01
-   2  sg_p1        1.60782e+01   2.68158e-01   7.22309e-04  -2.12184e-01
-   3  sg_p2        4.63894e+02   1.36806e+01   1.19116e-02  -3.33579e-01
-   4  sg_p3        1.14016e+02   1.97620e+01   2.70009e-02   5.07434e-01
-   5  sg_p4        9.27892e-01   7.16159e-03   2.03722e-03   1.02707e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.866e-02 -6.740e-03 -2.651e-01 -9.501e-01 -8.838e-05 
- -6.740e-03  7.192e-02 -8.846e-01  1.490e+00  8.010e-04 
- -2.651e-01 -8.846e-01  1.886e+02  2.011e+01 -4.167e-02 
- -9.501e-01  1.490e+00  2.011e+01  4.049e+02  1.100e-02 
- -8.838e-05  8.010e-04 -4.167e-02  1.100e-02  5.130e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18198   1.000 -0.084 -0.065 -0.159 -0.041
-        2  0.49512  -0.084  1.000 -0.240  0.276  0.417
-        3  0.45379  -0.065 -0.240  1.000  0.073 -0.424
-        4  0.33483  -0.159  0.276  0.073  1.000  0.076
-        5  0.53499  -0.041  0.417 -0.424  0.076  1.000
-500
-502.84 +- 0.297751
-16.0782 +- 0.268158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16477.8 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.86200e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.57301e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.88126e+02
-   4  sg_p3        4.29079e+01   1.40000e+01  -5.58468e-01   8.72628e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.83965e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             33 CALLS         278 TOTAL
-                     EDM=0.00228562    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03601e+02   3.08955e-01   1.34585e-03   3.00627e-01
-   2  sg_p1        1.67537e+01   2.75890e-01   1.84217e-03   1.71804e-01
-   3  sg_p2        4.49584e+02   2.10318e+01   1.89093e-02  -1.86124e-01
-   4  sg_p3        1.37208e+02   2.92076e+01   6.33389e-02  -7.21712e-02
-   5  sg_p4        9.31031e-01   7.12595e-03   2.05778e-03  -2.05034e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15837 FROM MIGRAD    STATUS=CONVERGED     290 CALLS         291 TOTAL
-                     EDM=9.94244e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   5.2 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03597e+02   3.10422e-01  -2.20880e-04   7.26010e-03
-   2  sg_p1        1.67527e+01   2.74763e-01  -8.54234e-05  -2.36066e-02
-   3  sg_p2        4.50350e+02   1.99263e+01   9.15141e-03   7.10266e-03
-   4  sg_p3        1.38778e+02   3.01976e+01   4.00555e-02  -1.66420e-02
-   5  sg_p4        9.30902e-01   7.07722e-03  -5.07201e-04  -3.19630e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.637e-02 -7.329e-03 -9.169e-02 -1.905e+00 -5.097e-05 
- -7.329e-03  7.551e-02 -1.688e+00  2.407e+00  7.425e-04 
- -9.169e-02 -1.688e+00  4.048e+02 -1.012e+02 -6.013e-02 
- -1.905e+00  2.407e+00 -1.012e+02  1.218e+03 -1.228e-02 
- -5.097e-05  7.425e-04 -6.013e-02 -1.228e-02  5.010e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19304   1.000 -0.086 -0.015 -0.176 -0.023
-        2  0.48229  -0.086  1.000 -0.305  0.251  0.382
-        3  0.47089  -0.015 -0.305  1.000 -0.144 -0.422
-        4  0.36202  -0.176  0.251 -0.144  1.000 -0.050
-        5  0.52945  -0.023  0.382 -0.422 -0.050  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             41 CALLS         332 TOTAL
-                     EDM=6.005e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03597e+02   3.09136e-01   1.34573e-03   1.80817e-01
-   2  sg_p1        1.67527e+01   2.75606e-01   1.84171e-03  -1.52530e-01
-   3  sg_p2        4.50350e+02   2.12182e+01   1.91941e-02  -4.89291e-01
-   4  sg_p3        1.38778e+02   3.03916e+01   7.62661e-02   9.96701e-01
-   5  sg_p4        9.30902e-01   7.12819e-03   2.05809e-03   1.03882e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.557e-02 -6.148e-03 -1.876e-01 -1.605e+00 -4.622e-05 
- -6.148e-03  7.597e-02 -1.916e+00  2.306e+00  7.753e-04 
- -1.876e-01 -1.916e+00  4.602e+02 -1.123e+02 -6.665e-02 
- -1.605e+00  2.306e+00 -1.123e+02  1.240e+03 -9.523e-03 
- -4.622e-05  7.753e-04 -6.665e-02 -9.523e-03  5.082e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17020   1.000 -0.072 -0.028 -0.147 -0.021
-        2  0.48615  -0.072  1.000 -0.324  0.238  0.395
-        3  0.48715  -0.028 -0.324  1.000 -0.149 -0.436
-        4  0.33778  -0.147  0.238 -0.149  1.000 -0.038
-        5  0.53739  -0.021  0.395 -0.436 -0.038  1.000
-500
-503.597 +- 0.309136
-16.7527 +- 0.275606
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16981.8 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.05566e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.79846e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.38683e+02
-   4  sg_p3        3.85734e+01   1.40000e+01  -6.33300e-01  -1.09954e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.06818e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             33 CALLS         261 TOTAL
-                     EDM=0.000884701    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03638e+02   2.96476e-01   1.30613e-03  -5.89524e-02
-   2  sg_p1        1.61908e+01   2.68536e-01   1.81793e-03  -9.06324e-02
-   3  sg_p2        4.64623e+02   1.46357e+01   1.25261e-02   2.17668e-01
-   4  sg_p3        1.18516e+02   2.19593e+01   3.03884e-02   5.10539e-02
-   5  sg_p4        9.27881e-01   7.13588e-03   2.04703e-03   7.03448e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16302.6 FROM MIGRAD    STATUS=CONVERGED     273 CALLS         274 TOTAL
-                     EDM=1.35619e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   3.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03639e+02   2.96022e-01   9.77721e-05  -9.91628e-03
-   2  sg_p1        1.61919e+01   2.69186e-01   9.95735e-05   3.66259e-03
-   3  sg_p2        4.64075e+02   1.47143e+01  -6.09837e-03  -4.10999e-03
-   4  sg_p3        1.17996e+02   2.09578e+01  -8.86611e-03  -1.33437e-02
-   5  sg_p4        9.27974e-01   7.15584e-03   3.61873e-04   3.29176e-06
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.764e-02 -6.654e-03 -2.734e-01 -9.694e-01 -8.441e-05 
- -6.654e-03  7.247e-02 -1.035e+00  1.644e+00  8.204e-04 
- -2.734e-01 -1.035e+00  2.185e+02  1.062e+01 -4.631e-02 
- -9.694e-01  1.644e+00  1.062e+01  4.592e+02  1.234e-02 
- -8.441e-05  8.204e-04 -4.631e-02  1.234e-02  5.122e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17873   1.000 -0.083 -0.062 -0.153 -0.040
-        2  0.50630  -0.083  1.000 -0.260  0.285  0.426
-        3  0.46142  -0.062 -0.260  1.000  0.034 -0.438
-        4  0.32893  -0.153  0.285  0.034  1.000  0.080
-        5  0.54522  -0.040  0.426 -0.438  0.080  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             41 CALLS         315 TOTAL
-                     EDM=4.81522e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03639e+02   2.96371e-01   1.30576e-03   1.82991e-01
-   2  sg_p1        1.61919e+01   2.68611e-01   1.81691e-03  -2.02075e-01
-   3  sg_p2        4.64075e+02   1.45352e+01   1.27410e-02  -3.31572e-01
-   4  sg_p3        1.17996e+02   2.14738e+01   3.10172e-02   5.73772e-01
-   5  sg_p4        9.27974e-01   7.13651e-03   2.04596e-03   1.02738e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.784e-02 -6.886e-03 -2.835e-01 -1.054e+00 -8.375e-05 
- -6.886e-03  7.217e-02 -9.670e-01  1.646e+00  8.068e-04 
- -2.835e-01 -9.670e-01  2.131e+02  2.545e+01 -4.521e-02 
- -1.054e+00  1.646e+00  2.545e+01  4.832e+02  9.584e-03 
- -8.375e-05  8.068e-04 -4.521e-02  9.584e-03  5.094e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18509   1.000 -0.086 -0.066 -0.162 -0.040
-        2  0.50306  -0.086  1.000 -0.247  0.279  0.421
-        3  0.46399  -0.066 -0.247  1.000  0.079 -0.434
-        4  0.34172  -0.162  0.279  0.079  1.000  0.061
-        5  0.54250  -0.040  0.421 -0.434  0.061  1.000
-500
-503.639 +- 0.296371
-16.1919 +- 0.268611
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15760.3 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.68945e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.51251e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.65516e+02
-   4  sg_p3        4.28306e+01   1.40000e+01  -5.59769e-01   7.96964e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.63393e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.00917808    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03544e+02   3.11234e-01   1.32359e-03   3.99151e-02
-   2  sg_p1        1.64644e+01   2.78325e-01   1.82583e-03   8.26169e-02
-   3  sg_p2        4.53596e+02   1.89196e+01   1.66163e-02  -4.74680e-01
-   4  sg_p3        1.30948e+02   2.69531e+01   4.74560e-02  -1.69826e-01
-   5  sg_p4        9.28806e-01   7.28371e-03   2.04213e-03  -7.21183e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15131 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=1.59446e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   8.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03538e+02   3.12525e-01  -4.41178e-05  -1.54585e-02
-   2  sg_p1        1.64635e+01   2.80799e-01   1.36626e-04   1.03835e-02
-   3  sg_p2        4.55327e+02   1.85938e+01  -2.83276e-04   1.31641e-03
-   4  sg_p3        1.33880e+02   3.06660e+01   1.19135e-02  -8.53961e-03
-   5  sg_p4        9.28489e-01   7.24733e-03   2.34109e-05  -1.19312e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.768e-02 -8.237e-03 -1.269e-01 -1.811e+00 -7.804e-05 
- -8.237e-03  7.886e-02 -1.583e+00  2.810e+00  7.851e-04 
- -1.269e-01 -1.583e+00  3.512e+02 -7.894e+01 -5.706e-02 
- -1.811e+00  2.810e+00 -7.894e+01  1.142e+03  2.159e-04 
- -7.804e-05  7.851e-04 -5.706e-02  2.159e-04  5.254e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19100   1.000 -0.094 -0.022 -0.171 -0.034
-        2  0.50054  -0.094  1.000 -0.301  0.296  0.386
-        3  0.45764  -0.022 -0.301  1.000 -0.125 -0.420
-        4  0.36350  -0.171  0.296 -0.125  1.000  0.001
-        5  0.51853  -0.034  0.386 -0.420  0.001  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             39 CALLS         332 TOTAL
-                     EDM=8.18863e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03538e+02   3.11671e-01   1.32357e-03   1.77834e-01
-   2  sg_p1        1.64635e+01   2.78053e-01   1.82591e-03  -1.78022e-01
-   3  sg_p2        4.55327e+02   1.93050e+01   1.69364e-02  -4.30811e-01
-   4  sg_p3        1.33880e+02   2.97612e+01   5.65680e-02   8.78399e-01
-   5  sg_p4        9.28489e-01   7.28924e-03   2.04602e-03   1.02938e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.715e-02 -7.165e-03 -2.210e-01 -1.574e+00 -6.699e-05 
- -7.165e-03  7.733e-02 -1.562e+00  2.322e+00  7.859e-04 
- -2.210e-01 -1.562e+00  3.791e+02 -4.296e+01 -6.069e-02 
- -1.574e+00  2.322e+00 -4.296e+01  1.061e+03 -4.723e-03 
- -6.699e-05  7.859e-04 -6.069e-02 -4.723e-03  5.315e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17762   1.000 -0.083 -0.036 -0.155 -0.029
-        2  0.48429  -0.083  1.000 -0.289  0.256  0.388
-        3  0.45436  -0.036 -0.289  1.000 -0.068 -0.428
-        4  0.32111  -0.155  0.256 -0.068  1.000 -0.020
-        5  0.52435  -0.029  0.388 -0.428 -0.020  1.000
-500
-503.538 +- 0.311671
-16.4635 +- 0.278053
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17965.7 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.19180e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.07558e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66310e+02
-   4  sg_p3        4.20660e+01   1.40000e+01  -5.72713e-01  -5.27926e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.26010e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             31 CALLS         273 TOTAL
-                     EDM=0.0158866    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03553e+02   2.92162e-01   1.32752e-03   1.92047e-01
-   2  sg_p1        1.64746e+01   2.61492e-01   1.83264e-03   9.93853e-02
-   3  sg_p2        4.51603e+02   1.81044e+01   1.70017e-02  -6.77062e-01
-   4  sg_p3        1.32529e+02   2.52771e+01   4.84704e-02  -2.30017e-01
-   5  sg_p4        9.26851e-01   6.88981e-03   2.03844e-03  -1.42588e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17247.2 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=4.77096e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03545e+02   2.93438e-01  -5.87528e-05  -3.40309e-02
-   2  sg_p1        1.64727e+01   2.63670e-01   1.74859e-04   2.14591e-02
-   3  sg_p2        4.53798e+02   1.77853e+01  -4.09286e-04   3.31652e-04
-   4  sg_p3        1.35998e+02   2.90570e+01   1.70332e-02  -1.52432e-02
-   5  sg_p4        9.26443e-01   6.85608e-03   1.63285e-05  -2.74842e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.611e-02 -7.218e-03 -7.462e-02 -1.599e+00 -6.663e-05 
- -7.218e-03  6.953e-02 -1.469e+00  2.461e+00  6.909e-04 
- -7.462e-02 -1.469e+00  3.210e+02 -8.810e+01 -5.081e-02 
- -1.599e+00  2.461e+00 -8.810e+01  1.030e+03 -2.764e-03 
- -6.663e-05  6.909e-04 -5.081e-02 -2.764e-03  4.702e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18896   1.000 -0.093 -0.014 -0.170 -0.033
-        2  0.49890  -0.093  1.000 -0.311  0.291  0.382
-        3  0.46311  -0.014 -0.311  1.000 -0.153 -0.414
-        4  0.37220  -0.170  0.291 -0.153  1.000 -0.013
-        5  0.51605  -0.033  0.382 -0.414 -0.013  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             37 CALLS         332 TOTAL
-                     EDM=2.5481e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03545e+02   2.92634e-01   1.32733e-03   1.78200e-01
-   2  sg_p1        1.64727e+01   2.61019e-01   1.83240e-03  -1.77216e-01
-   3  sg_p2        4.53798e+02   1.84402e+01   1.73428e-02  -4.48601e-01
-   4  sg_p3        1.35998e+02   2.83987e+01   6.04366e-02   9.27242e-01
-   5  sg_p4        9.26443e-01   6.89823e-03   2.04324e-03   1.02149e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.564e-02 -6.233e-03 -1.752e-01 -1.395e+00 -5.632e-05 
- -6.233e-03  6.814e-02 -1.435e+00  2.042e+00  6.927e-04 
- -1.752e-01 -1.435e+00  3.454e+02 -5.423e+01 -5.416e-02 
- -1.395e+00  2.042e+00 -5.423e+01  9.726e+02 -6.753e-03 
- -5.632e-05  6.927e-04 -5.416e-02 -6.753e-03  4.760e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17564   1.000 -0.082 -0.032 -0.153 -0.028
-        2  0.48195  -0.082  1.000 -0.296  0.251  0.385
-        3  0.45633  -0.032 -0.296  1.000 -0.094 -0.422
-        4  0.32602  -0.153  0.251 -0.094  1.000 -0.031
-        5  0.52240  -0.028  0.385 -0.422 -0.031  1.000
-500
-503.545 +- 0.292634
-16.4727 +- 0.261019
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 37 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 57 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 59 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 110 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 503.541 +- 0.301948 (stat) - 0.701904 + 0.678912 (syst); -0.717957/+0.695495 (total)
-   Uncertainty on sg_p1 = 16.4684 +- 0.269373 (stat) - 0.390296 + 0.284252 (syst); -0.412882/+0.314547 (total)
-   Uncertainty on sg_p2 = 454.55 +- 18.8889 (stat) - 4.20037 + 9.52429 (syst); -10.3364/+13.4131 (total)
-   Uncertainty on sg_p3 = 135.056 +- 29.1667 (stat) - 21.0404 + 3.7219 (syst); -25.6003/+15.0508 (total)
-   Uncertainty on sg_p4 = 0.927449 +- 0.00708973 (stat) - 0.00100662 + 0.0034528 (syst); -0.00368502/+0.00494853 (total) 
-   === Baseline plot === </br>
-   norm = 1319.62
-JEC     lnN   1.00347  -
-JER     lnN   1.01686  -
-btag    lnN   1.06496  -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt
deleted file mode 100644
index 236cb5a..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1319.62 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06496    -
-JER       lnN     1.01686   - 
-JEC       lnN     1.00347   -
-trigger   lnN     1.10    -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_novo_285_624/signal500_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_novo_285_624/signal500_sig.log
deleted file mode 100644
index 3014dec..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_500_novo_285_624/signal500_sig.log
+++ /dev/null
@@ -1,916 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18297.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   4.88508e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.52283e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.04492e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.27139e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.31849e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM MIGRAD    STATUS=CONVERGED     270 CALLS         271 TOTAL
-                     EDM=0.000209103    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.82781e+02   4.91816e-01   1.54936e-03   4.63902e-01
-   2  sg_p1        2.77322e+01   3.77130e-01   2.11298e-03  -7.95545e-04
-   3  sg_p2        4.00000e+02   7.22234e+00   3.62181e-02   1.52038e-02
-   4  sg_p3        9.99995e+01   7.83688e+00   5.52124e-02  -1.33082e-02
-   5  sg_p4        9.49597e-01   5.34566e-03   2.17525e-03   3.38347e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.201e-02  7.239e-06  6.832e-04 -2.726e-04 
- -1.201e-02  1.423e-01 -5.971e-04  4.705e-05  4.980e-04 
-  7.239e-06 -5.971e-04  7.635e-03 -3.089e-06 -2.189e-05 
-  6.832e-04  4.705e-05 -3.089e-06  1.671e-02  2.174e-06 
- -2.726e-04  4.980e-04 -2.189e-05  2.174e-06  2.858e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11194   1.000 -0.065  0.000  0.011 -0.104
-        2  0.25018  -0.065  1.000 -0.018  0.001  0.247
-        3  0.04761   0.000 -0.018  1.000 -0.000 -0.047
-        4  0.01159   0.011  0.001 -0.000  1.000  0.003
-        5  0.26559  -0.104  0.247 -0.047  0.003  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM HESSE     STATUS=OK             31 CALLS         302 TOTAL
-                     EDM=0.000214101    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.82781e+02   4.91810e-01   3.09872e-04  -2.43026e-01
-   2  sg_p1        2.77322e+01   3.77150e-01   8.45194e-05   2.59399e-01
-   3  sg_p2        4.00000e+02   7.23045e+00   7.24363e-03  -1.56845e+00
-   4  sg_p3        9.99995e+01   7.86694e+00   1.10425e-02   1.56600e+00
-   5  sg_p4        9.49597e-01   5.34101e-03   4.35051e-04   1.11793e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.221e-02  2.317e-06  2.181e-05 -2.728e-04 
- -1.221e-02  1.423e-01 -1.751e-04  1.477e-06  4.978e-04 
-  2.317e-06 -1.751e-04  7.644e-03 -2.852e-08 -6.407e-06 
-  2.181e-05  1.477e-06 -2.852e-08  1.678e-02  6.944e-08 
- -2.728e-04  4.978e-04 -6.407e-06  6.944e-08  2.853e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11182   1.000 -0.066  0.000  0.000 -0.104
-        2  0.25038  -0.066  1.000 -0.005  0.000  0.247
-        3  0.01394   0.000 -0.005  1.000 -0.000 -0.014
-        4  0.00037   0.000  0.000 -0.000  1.000  0.000
-        5  0.26252  -0.104  0.247 -0.014  0.000  1.000
-500
-482.781 +- 0.49181
-27.7322 +- 0.37715
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18169.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   3.31882e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   8.82382e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   9.40789e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.28474e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.45518e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM MIGRAD    STATUS=CONVERGED     298 CALLS         299 TOTAL
-                     EDM=6.02039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.84762e+02   4.94191e-01   1.52434e-03   1.30913e-01
-   2  sg_p1        2.76557e+01   3.74902e-01   2.09728e-03   4.83776e-02
-   3  sg_p2        4.00000e+02   4.37949e+00   2.80592e-02** at limit **
-   4  sg_p3        9.99992e+01   6.41285e+01   1.21382e-01   2.55150e-03
-   5  sg_p4        9.47779e-01   5.38139e-03   2.15294e-03  -2.62881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.442e-01 -1.391e-02  1.965e-06  1.328e-02 -2.985e-04 
- -1.391e-02  1.406e-01 -2.130e-05 -8.696e-04  4.743e-04 
-  1.965e-06 -2.130e-05  4.142e-05 -4.503e-06 -8.642e-07 
-  1.328e-02 -8.696e-04 -4.503e-06  1.378e-01  3.311e-05 
- -2.985e-04  4.743e-04 -8.642e-07  3.311e-05  2.896e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14334   1.000 -0.075  0.001  0.072 -0.112
-        2  0.24021  -0.075  1.000 -0.009 -0.006  0.235
-        3  0.02528   0.001 -0.009  1.000 -0.002 -0.025
-        4  0.07681   0.072 -0.006 -0.002  1.000  0.017
-        5  0.25571  -0.112  0.235 -0.025  0.017  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM HESSE     STATUS=OK             35 CALLS         334 TOTAL
-                     EDM=5.16959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.84762e+02   5.00293e-01   3.04869e-04  -1.75493e-01
-   2  sg_p1        2.76557e+01   3.74977e-01   8.38911e-05   2.54605e-01
-   3  sg_p2        4.00000e+02   4.38207e+00   5.61185e-03  -1.57057e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.99992e+01   1.55865e+01   4.95239e-01   1.57658e+00
-   5  sg_p4        9.47779e-01   5.38465e-03   4.30589e-04   1.10968e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.503e-01 -1.437e-02 -1.054e-07  1.912e-02 -2.821e-04 
- -1.437e-02  1.406e-01 -4.527e-06 -8.788e-04  4.745e-04 
- -1.054e-07 -4.527e-06  4.144e-05 -1.618e-06 -1.856e-07 
-  1.912e-02 -8.788e-04 -1.618e-06  4.993e-02  5.148e-05 
- -2.821e-04  4.745e-04 -1.856e-07  5.148e-05  2.900e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21046   1.000 -0.077 -0.000  0.171 -0.105
-        2  0.24099  -0.077  1.000 -0.002 -0.010  0.235
-        3  0.00549  -0.000 -0.002  1.000 -0.001 -0.005
-        4  0.18195   0.171 -0.010 -0.001  1.000  0.043
-        5  0.25791  -0.105  0.235 -0.005  0.043  1.000
-500
-484.762 +- 0.500293
-27.6557 +- 0.374977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18067.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   6.30906e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.68366e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.15954e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.16092e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.26605e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=3.64156e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.80603e+02   4.87655e-01   1.55641e-03   1.00438e-01
-   2  sg_p1        2.73597e+01   3.75999e-01   2.07241e-03  -3.88766e-02
-   3  sg_p2        4.00000e+02   7.70615e+00   3.73444e-02  -1.20875e-02
-   4  sg_p3        9.99999e+01   9.07676e+00   5.91616e-02   4.30185e-03
-   5  sg_p4        9.52020e-01   5.29904e-03   2.18424e-03  -2.42849e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.252e-02  1.605e-06  3.978e-04 -2.735e-04 
- -1.252e-02  1.414e-01 -4.268e-04  1.441e-06  5.110e-04 
-  1.605e-06 -4.268e-04  5.890e-03 -4.600e-07 -1.533e-05 
-  3.978e-04  1.441e-06 -4.600e-07  2.758e-03  4.935e-07 
- -2.735e-04  5.110e-04 -1.533e-05  4.935e-07  2.809e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11523   1.000 -0.068  0.000  0.016 -0.106
-        2  0.25980  -0.068  1.000 -0.015  0.000  0.256
-        3  0.03828   0.000 -0.015  1.000 -0.000 -0.038
-        4  0.01591   0.016  0.000 -0.000  1.000  0.002
-        5  0.27342  -0.106  0.256 -0.038  0.002  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM HESSE     STATUS=OK             31 CALLS         311 TOTAL
-                     EDM=3.66903e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.80603e+02   4.87622e-01   3.11281e-04  -3.18584e-01
-   2  sg_p1        2.73597e+01   3.76029e-01   8.28962e-05   2.36108e-01
-   3  sg_p2        4.00000e+02   7.72173e+00   7.46888e-03  -1.57279e+00
-   4  sg_p3        9.99999e+01   9.11980e+00   1.18323e-02   1.57260e+00
-   5  sg_p4        9.52020e-01   5.29594e-03   8.73698e-05   1.12913e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.272e-02  2.233e-07  9.824e-05 -2.737e-04 
- -1.272e-02  1.414e-01 -4.487e-05  2.340e-07  5.111e-04 
-  2.233e-07 -4.487e-05  5.902e-03 -1.148e-08 -1.609e-06 
-  9.824e-05  2.340e-07 -1.148e-08  2.771e-03  1.224e-07 
- -2.737e-04  5.111e-04 -1.609e-06  1.224e-07  2.805e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11467   1.000 -0.069  0.000  0.004 -0.106
-        2  0.26008  -0.069  1.000 -0.002  0.000  0.257
-        3  0.00402   0.000 -0.002  1.000 -0.000 -0.004
-        4  0.00392   0.004  0.000 -0.000  1.000  0.000
-        5  0.27142  -0.106  0.257 -0.004  0.000  1.000
-500
-480.603 +- 0.487622
-27.3597 +- 0.376029
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16835.6 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.93448e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.78837e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66272e+02
-   4  sg_p3        4.24477e+01   1.40000e+01  -5.66239e-01   4.08068e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.94465e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.0123886    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03549e+02   3.01469e-01   1.32569e-03   7.22248e-02
-   2  sg_p1        1.64694e+01   2.69674e-01   1.82958e-03   1.11175e-01
-   3  sg_p2        4.52623e+02   1.84688e+01   1.67733e-02  -5.64013e-01
-   4  sg_p3        1.31659e+02   2.60244e+01   4.76520e-02  -2.04899e-01
-   5  sg_p4        9.27815e-01   7.08262e-03   2.04007e-03  -6.32432e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16163.1 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=1.39803e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03541e+02   3.02714e-01  -6.04564e-05  -2.41635e-02
-   2  sg_p1        1.64684e+01   2.71856e-01   1.82456e-04   2.35248e-02
-   3  sg_p2        4.54550e+02   1.81378e+01  -3.71817e-04   2.34305e-03
-   4  sg_p3        1.35056e+02   2.96709e+01   1.70336e-02  -8.15967e-03
-   5  sg_p4        9.27449e-01   7.04529e-03   2.19134e-05  -1.27756e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.164e-02 -7.657e-03 -1.012e-01 -1.679e+00 -7.191e-05 
- -7.657e-03  7.392e-02 -1.518e+00  2.592e+00  7.352e-04 
- -1.012e-01 -1.518e+00  3.340e+02 -8.231e+01 -5.363e-02 
- -1.679e+00  2.592e+00 -8.231e+01  1.069e+03 -1.492e-03 
- -7.191e-05  7.352e-04 -5.363e-02 -1.492e-03  4.965e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18907   1.000 -0.093 -0.018 -0.170 -0.034
-        2  0.49868  -0.093  1.000 -0.305  0.292  0.384
-        3  0.45946  -0.018 -0.305  1.000 -0.138 -0.416
-        4  0.36545  -0.170  0.292 -0.138  1.000 -0.006
-        5  0.51683  -0.034  0.384 -0.416 -0.006  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             39 CALLS         333 TOTAL
-                     EDM=4.95712e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03541e+02   3.01948e-01   1.32548e-03   1.78010e-01
-   2  sg_p1        1.64684e+01   2.69373e-01   1.82921e-03  -1.77589e-01
-   3  sg_p2        4.54550e+02   1.88889e+01   1.71373e-02  -4.39830e-01
-   4  sg_p3        1.35056e+02   2.91667e+01   5.83968e-02   9.05144e-01
-   5  sg_p4        9.27449e-01   7.08973e-03   2.04457e-03   1.02536e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.118e-02 -6.694e-03 -1.967e-01 -1.492e+00 -6.118e-05 
- -6.694e-03  7.258e-02 -1.499e+00  2.192e+00  7.371e-04 
- -1.967e-01 -1.499e+00  3.627e+02 -4.939e+01 -5.738e-02 
- -1.492e+00  2.192e+00 -4.939e+01  1.025e+03 -5.946e-03 
- -6.118e-05  7.371e-04 -5.738e-02 -5.946e-03  5.028e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17693   1.000 -0.082 -0.034 -0.154 -0.029
-        2  0.48331  -0.082  1.000 -0.292  0.254  0.386
-        3  0.45514  -0.034 -0.292  1.000 -0.081 -0.425
-        4  0.32411  -0.154  0.254 -0.081  1.000 -0.026
-        5  0.52326  -0.029  0.386 -0.425 -0.026  1.000
-500
-503.541 +- 0.301948
-16.4684 +- 0.269373
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16739.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.55651e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.48786e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.68451e+02
-   4  sg_p3        4.32221e+01   1.40000e+01  -5.53184e-01   1.18283e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.96034e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=8.68132e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.04220e+02   3.07707e-01   1.35237e-03   1.08303e-01
-   2  sg_p1        1.66795e+01   2.77507e-01   1.84894e-03   6.94551e-02
-   3  sg_p2        4.62822e+02   1.91078e+01   1.68854e-02  -1.14748e-02
-   4  sg_p3        1.35582e+02   3.03789e+01   6.57946e-02   1.08838e-02
-   5  sg_p4        9.28230e-01   7.23504e-03   2.06982e-03  -3.02724e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.469e-02 -7.947e-03 -3.583e-01 -1.715e+00 -8.078e-05 
- -7.947e-03  7.703e-02 -1.315e+00  2.634e+00  8.091e-04 
- -3.583e-01 -1.315e+00  3.708e+02  4.728e+01 -6.075e-02 
- -1.715e+00  2.634e+00  4.728e+01  1.145e+03  2.032e-03 
- -8.078e-05  8.091e-04 -6.075e-02  2.032e-03  5.236e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18853   1.000 -0.093 -0.060 -0.165 -0.036
-        2  0.50124  -0.093  1.000 -0.246  0.281  0.403
-        3  0.46006  -0.060 -0.246  1.000  0.073 -0.436
-        4  0.34759  -0.165  0.281  0.073  1.000  0.008
-        5  0.53639  -0.036  0.403 -0.436  0.008  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM HESSE     STATUS=OK             31 CALLS         345 TOTAL
-                     EDM=9.10947e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.04220e+02   3.08377e-01   2.70474e-04   2.12615e-01
-   2  sg_p1        1.66795e+01   2.80568e-01   3.69788e-04  -1.58971e-01
-   3  sg_p2        4.62822e+02   1.90695e+01   6.75418e-04  -3.45556e-01
-   4  sg_p3        1.35582e+02   3.07077e+01   2.63178e-03   9.17410e-01
-   5  sg_p4        9.28230e-01   7.23811e-03   4.13965e-04   1.02837e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.510e-02 -8.877e-03 -3.212e-01 -1.872e+00 -9.078e-05 
- -8.877e-03  7.873e-02 -1.370e+00  3.011e+00  8.254e-04 
- -3.212e-01 -1.370e+00  3.693e+02  2.368e+01 -6.065e-02 
- -1.872e+00  3.011e+00  2.368e+01  1.177e+03  7.626e-03 
- -9.078e-05  8.254e-04 -6.065e-02  7.626e-03  5.240e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19932   1.000 -0.103 -0.054 -0.177 -0.041
-        2  0.51720  -0.103  1.000 -0.254  0.313  0.406
-        3  0.45661  -0.054 -0.254  1.000  0.036 -0.436
-        4  0.36806  -0.177  0.313  0.036  1.000  0.031
-        5  0.53695  -0.041  0.406 -0.436  0.031  1.000
-500
-504.22 +- 0.308377
-16.6795 +- 0.280568
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.23108e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.18946e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.42436e+02
-   4  sg_p3        4.43542e+01   1.40000e+01  -5.34286e-01   2.49400e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.66244e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             37 CALLS         242 TOTAL
-                     EDM=0.000693776    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02838e+02   2.97826e-01   1.28795e-03  -1.05531e-02
-   2  sg_p1        1.60782e+01   2.67978e-01   1.80577e-03   2.44112e-02
-   3  sg_p2        4.64332e+02   1.37627e+01   1.17387e-02   2.07821e-01
-   4  sg_p3        1.14468e+02   2.01486e+01   2.64964e-02   5.48597e-02
-   5  sg_p4        9.27839e-01   7.15691e-03   2.03796e-03   1.57814e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15889.1 FROM MIGRAD    STATUS=CONVERGED     254 CALLS         255 TOTAL
-                     EDM=9.17556e-06    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.8 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02840e+02   2.97434e-01   8.32709e-05  -7.82024e-03
-   2  sg_p1        1.60782e+01   2.67892e-01  -2.85162e-06   4.43301e-03
-   3  sg_p2        4.63894e+02   1.38330e+01  -4.87307e-03  -3.70669e-03
-   4  sg_p3        1.14016e+02   1.92315e+01  -7.40995e-03  -1.25650e-02
-   5  sg_p4        9.27892e-01   7.16442e-03   2.06750e-04   1.26344e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.847e-02 -6.452e-03 -2.568e-01 -8.771e-01 -8.776e-05 
- -6.452e-03  7.178e-02 -9.238e-01  1.447e+00  8.030e-04 
- -2.568e-01 -9.238e-01  1.929e+02  9.107e+00 -4.221e-02 
- -8.771e-01  1.447e+00  9.107e+00  3.827e+02  1.223e-02 
- -8.776e-05  8.030e-04 -4.221e-02  1.223e-02  5.134e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17624   1.000 -0.081 -0.062 -0.151 -0.041
-        2  0.49356  -0.081  1.000 -0.248  0.276  0.418
-        3  0.44761  -0.062 -0.248  1.000  0.034 -0.424
-        4  0.31902  -0.151  0.276  0.034  1.000  0.087
-        5  0.53440  -0.041  0.418 -0.424  0.087  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             39 CALLS         294 TOTAL
-                     EDM=3.03558e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.02840e+02   2.97751e-01   5.15179e-04   1.42457e-01
-   2  sg_p1        1.60782e+01   2.68158e-01   7.22309e-04  -2.12184e-01
-   3  sg_p2        4.63894e+02   1.36806e+01   1.19116e-02  -3.33579e-01
-   4  sg_p3        1.14016e+02   1.97620e+01   2.70009e-02   5.07434e-01
-   5  sg_p4        9.27892e-01   7.16159e-03   2.03722e-03   1.02707e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.866e-02 -6.740e-03 -2.651e-01 -9.501e-01 -8.838e-05 
- -6.740e-03  7.192e-02 -8.846e-01  1.490e+00  8.010e-04 
- -2.651e-01 -8.846e-01  1.886e+02  2.011e+01 -4.167e-02 
- -9.501e-01  1.490e+00  2.011e+01  4.049e+02  1.100e-02 
- -8.838e-05  8.010e-04 -4.167e-02  1.100e-02  5.130e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18198   1.000 -0.084 -0.065 -0.159 -0.041
-        2  0.49512  -0.084  1.000 -0.240  0.276  0.417
-        3  0.45379  -0.065 -0.240  1.000  0.073 -0.424
-        4  0.33483  -0.159  0.276  0.073  1.000  0.076
-        5  0.53499  -0.041  0.417 -0.424  0.076  1.000
-500
-502.84 +- 0.297751
-16.0782 +- 0.268158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16477.8 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.86200e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.57301e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.88126e+02
-   4  sg_p3        4.29079e+01   1.40000e+01  -5.58468e-01   8.72628e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.83965e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             33 CALLS         278 TOTAL
-                     EDM=0.00228562    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03601e+02   3.08955e-01   1.34585e-03   3.00627e-01
-   2  sg_p1        1.67537e+01   2.75890e-01   1.84217e-03   1.71804e-01
-   3  sg_p2        4.49584e+02   2.10318e+01   1.89093e-02  -1.86124e-01
-   4  sg_p3        1.37208e+02   2.92076e+01   6.33389e-02  -7.21712e-02
-   5  sg_p4        9.31031e-01   7.12595e-03   2.05778e-03  -2.05034e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15837 FROM MIGRAD    STATUS=CONVERGED     290 CALLS         291 TOTAL
-                     EDM=9.94244e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   5.2 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03597e+02   3.10422e-01  -2.20880e-04   7.26010e-03
-   2  sg_p1        1.67527e+01   2.74763e-01  -8.54234e-05  -2.36066e-02
-   3  sg_p2        4.50350e+02   1.99263e+01   9.15141e-03   7.10266e-03
-   4  sg_p3        1.38778e+02   3.01976e+01   4.00555e-02  -1.66420e-02
-   5  sg_p4        9.30902e-01   7.07722e-03  -5.07201e-04  -3.19630e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.637e-02 -7.329e-03 -9.169e-02 -1.905e+00 -5.097e-05 
- -7.329e-03  7.551e-02 -1.688e+00  2.407e+00  7.425e-04 
- -9.169e-02 -1.688e+00  4.048e+02 -1.012e+02 -6.013e-02 
- -1.905e+00  2.407e+00 -1.012e+02  1.218e+03 -1.228e-02 
- -5.097e-05  7.425e-04 -6.013e-02 -1.228e-02  5.010e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19304   1.000 -0.086 -0.015 -0.176 -0.023
-        2  0.48229  -0.086  1.000 -0.305  0.251  0.382
-        3  0.47089  -0.015 -0.305  1.000 -0.144 -0.422
-        4  0.36202  -0.176  0.251 -0.144  1.000 -0.050
-        5  0.52945  -0.023  0.382 -0.422 -0.050  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             41 CALLS         332 TOTAL
-                     EDM=6.005e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03597e+02   3.09136e-01   1.34573e-03   1.80817e-01
-   2  sg_p1        1.67527e+01   2.75606e-01   1.84171e-03  -1.52530e-01
-   3  sg_p2        4.50350e+02   2.12182e+01   1.91941e-02  -4.89291e-01
-   4  sg_p3        1.38778e+02   3.03916e+01   7.62661e-02   9.96701e-01
-   5  sg_p4        9.30902e-01   7.12819e-03   2.05809e-03   1.03882e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.557e-02 -6.148e-03 -1.876e-01 -1.605e+00 -4.622e-05 
- -6.148e-03  7.597e-02 -1.916e+00  2.306e+00  7.753e-04 
- -1.876e-01 -1.916e+00  4.602e+02 -1.123e+02 -6.665e-02 
- -1.605e+00  2.306e+00 -1.123e+02  1.240e+03 -9.523e-03 
- -4.622e-05  7.753e-04 -6.665e-02 -9.523e-03  5.082e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17020   1.000 -0.072 -0.028 -0.147 -0.021
-        2  0.48615  -0.072  1.000 -0.324  0.238  0.395
-        3  0.48715  -0.028 -0.324  1.000 -0.149 -0.436
-        4  0.33778  -0.147  0.238 -0.149  1.000 -0.038
-        5  0.53739  -0.021  0.395 -0.436 -0.038  1.000
-500
-503.597 +- 0.309136
-16.7527 +- 0.275606
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16981.8 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.05566e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.79846e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.38683e+02
-   4  sg_p3        3.85734e+01   1.40000e+01  -6.33300e-01  -1.09954e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.06818e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             33 CALLS         261 TOTAL
-                     EDM=0.000884701    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03638e+02   2.96476e-01   1.30613e-03  -5.89524e-02
-   2  sg_p1        1.61908e+01   2.68536e-01   1.81793e-03  -9.06324e-02
-   3  sg_p2        4.64623e+02   1.46357e+01   1.25261e-02   2.17668e-01
-   4  sg_p3        1.18516e+02   2.19593e+01   3.03884e-02   5.10539e-02
-   5  sg_p4        9.27881e-01   7.13588e-03   2.04703e-03   7.03448e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16302.6 FROM MIGRAD    STATUS=CONVERGED     273 CALLS         274 TOTAL
-                     EDM=1.35619e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   3.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03639e+02   2.96022e-01   9.77721e-05  -9.91628e-03
-   2  sg_p1        1.61919e+01   2.69186e-01   9.95735e-05   3.66259e-03
-   3  sg_p2        4.64075e+02   1.47143e+01  -6.09837e-03  -4.10999e-03
-   4  sg_p3        1.17996e+02   2.09578e+01  -8.86611e-03  -1.33437e-02
-   5  sg_p4        9.27974e-01   7.15584e-03   3.61873e-04   3.29176e-06
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.764e-02 -6.654e-03 -2.734e-01 -9.694e-01 -8.441e-05 
- -6.654e-03  7.247e-02 -1.035e+00  1.644e+00  8.204e-04 
- -2.734e-01 -1.035e+00  2.185e+02  1.062e+01 -4.631e-02 
- -9.694e-01  1.644e+00  1.062e+01  4.592e+02  1.234e-02 
- -8.441e-05  8.204e-04 -4.631e-02  1.234e-02  5.122e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17873   1.000 -0.083 -0.062 -0.153 -0.040
-        2  0.50630  -0.083  1.000 -0.260  0.285  0.426
-        3  0.46142  -0.062 -0.260  1.000  0.034 -0.438
-        4  0.32893  -0.153  0.285  0.034  1.000  0.080
-        5  0.54522  -0.040  0.426 -0.438  0.080  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             41 CALLS         315 TOTAL
-                     EDM=4.81522e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03639e+02   2.96371e-01   1.30576e-03   1.82991e-01
-   2  sg_p1        1.61919e+01   2.68611e-01   1.81691e-03  -2.02075e-01
-   3  sg_p2        4.64075e+02   1.45352e+01   1.27410e-02  -3.31572e-01
-   4  sg_p3        1.17996e+02   2.14738e+01   3.10172e-02   5.73772e-01
-   5  sg_p4        9.27974e-01   7.13651e-03   2.04596e-03   1.02738e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.784e-02 -6.886e-03 -2.835e-01 -1.054e+00 -8.375e-05 
- -6.886e-03  7.217e-02 -9.670e-01  1.646e+00  8.068e-04 
- -2.835e-01 -9.670e-01  2.131e+02  2.545e+01 -4.521e-02 
- -1.054e+00  1.646e+00  2.545e+01  4.832e+02  9.584e-03 
- -8.375e-05  8.068e-04 -4.521e-02  9.584e-03  5.094e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18509   1.000 -0.086 -0.066 -0.162 -0.040
-        2  0.50306  -0.086  1.000 -0.247  0.279  0.421
-        3  0.46399  -0.066 -0.247  1.000  0.079 -0.434
-        4  0.34172  -0.162  0.279  0.079  1.000  0.061
-        5  0.54250  -0.040  0.421 -0.434  0.061  1.000
-500
-503.639 +- 0.296371
-16.1919 +- 0.268611
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15760.3 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.68945e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.51251e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.65516e+02
-   4  sg_p3        4.28306e+01   1.40000e+01  -5.59769e-01   7.96964e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.63393e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.00917808    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03544e+02   3.11234e-01   1.32359e-03   3.99151e-02
-   2  sg_p1        1.64644e+01   2.78325e-01   1.82583e-03   8.26169e-02
-   3  sg_p2        4.53596e+02   1.89196e+01   1.66163e-02  -4.74680e-01
-   4  sg_p3        1.30948e+02   2.69531e+01   4.74560e-02  -1.69826e-01
-   5  sg_p4        9.28806e-01   7.28371e-03   2.04213e-03  -7.21183e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15131 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=1.59446e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   8.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03538e+02   3.12525e-01  -4.41178e-05  -1.54585e-02
-   2  sg_p1        1.64635e+01   2.80799e-01   1.36626e-04   1.03835e-02
-   3  sg_p2        4.55327e+02   1.85938e+01  -2.83276e-04   1.31641e-03
-   4  sg_p3        1.33880e+02   3.06660e+01   1.19135e-02  -8.53961e-03
-   5  sg_p4        9.28489e-01   7.24733e-03   2.34109e-05  -1.19312e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.768e-02 -8.237e-03 -1.269e-01 -1.811e+00 -7.804e-05 
- -8.237e-03  7.886e-02 -1.583e+00  2.810e+00  7.851e-04 
- -1.269e-01 -1.583e+00  3.512e+02 -7.894e+01 -5.706e-02 
- -1.811e+00  2.810e+00 -7.894e+01  1.142e+03  2.159e-04 
- -7.804e-05  7.851e-04 -5.706e-02  2.159e-04  5.254e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19100   1.000 -0.094 -0.022 -0.171 -0.034
-        2  0.50054  -0.094  1.000 -0.301  0.296  0.386
-        3  0.45764  -0.022 -0.301  1.000 -0.125 -0.420
-        4  0.36350  -0.171  0.296 -0.125  1.000  0.001
-        5  0.51853  -0.034  0.386 -0.420  0.001  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             39 CALLS         332 TOTAL
-                     EDM=8.18863e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03538e+02   3.11671e-01   1.32357e-03   1.77834e-01
-   2  sg_p1        1.64635e+01   2.78053e-01   1.82591e-03  -1.78022e-01
-   3  sg_p2        4.55327e+02   1.93050e+01   1.69364e-02  -4.30811e-01
-   4  sg_p3        1.33880e+02   2.97612e+01   5.65680e-02   8.78399e-01
-   5  sg_p4        9.28489e-01   7.28924e-03   2.04602e-03   1.02938e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.715e-02 -7.165e-03 -2.210e-01 -1.574e+00 -6.699e-05 
- -7.165e-03  7.733e-02 -1.562e+00  2.322e+00  7.859e-04 
- -2.210e-01 -1.562e+00  3.791e+02 -4.296e+01 -6.069e-02 
- -1.574e+00  2.322e+00 -4.296e+01  1.061e+03 -4.723e-03 
- -6.699e-05  7.859e-04 -6.069e-02 -4.723e-03  5.315e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17762   1.000 -0.083 -0.036 -0.155 -0.029
-        2  0.48429  -0.083  1.000 -0.289  0.256  0.388
-        3  0.45436  -0.036 -0.289  1.000 -0.068 -0.428
-        4  0.32111  -0.155  0.256 -0.068  1.000 -0.020
-        5  0.52435  -0.029  0.388 -0.428 -0.020  1.000
-500
-503.538 +- 0.311671
-16.4635 +- 0.278053
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17965.7 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.19180e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.07558e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66310e+02
-   4  sg_p3        4.20660e+01   1.40000e+01  -5.72713e-01  -5.27926e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.26010e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             31 CALLS         273 TOTAL
-                     EDM=0.0158866    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03553e+02   2.92162e-01   1.32752e-03   1.92047e-01
-   2  sg_p1        1.64746e+01   2.61492e-01   1.83264e-03   9.93853e-02
-   3  sg_p2        4.51603e+02   1.81044e+01   1.70017e-02  -6.77062e-01
-   4  sg_p3        1.32529e+02   2.52771e+01   4.84704e-02  -2.30017e-01
-   5  sg_p4        9.26851e-01   6.88981e-03   2.03844e-03  -1.42588e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17247.2 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=4.77096e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03545e+02   2.93438e-01  -5.87528e-05  -3.40309e-02
-   2  sg_p1        1.64727e+01   2.63670e-01   1.74859e-04   2.14591e-02
-   3  sg_p2        4.53798e+02   1.77853e+01  -4.09286e-04   3.31652e-04
-   4  sg_p3        1.35998e+02   2.90570e+01   1.70332e-02  -1.52432e-02
-   5  sg_p4        9.26443e-01   6.85608e-03   1.63285e-05  -2.74842e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.611e-02 -7.218e-03 -7.462e-02 -1.599e+00 -6.663e-05 
- -7.218e-03  6.953e-02 -1.469e+00  2.461e+00  6.909e-04 
- -7.462e-02 -1.469e+00  3.210e+02 -8.810e+01 -5.081e-02 
- -1.599e+00  2.461e+00 -8.810e+01  1.030e+03 -2.764e-03 
- -6.663e-05  6.909e-04 -5.081e-02 -2.764e-03  4.702e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18896   1.000 -0.093 -0.014 -0.170 -0.033
-        2  0.49890  -0.093  1.000 -0.311  0.291  0.382
-        3  0.46311  -0.014 -0.311  1.000 -0.153 -0.414
-        4  0.37220  -0.170  0.291 -0.153  1.000 -0.013
-        5  0.51605  -0.033  0.382 -0.414 -0.013  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             37 CALLS         332 TOTAL
-                     EDM=2.5481e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03545e+02   2.92634e-01   1.32733e-03   1.78200e-01
-   2  sg_p1        1.64727e+01   2.61019e-01   1.83240e-03  -1.77216e-01
-   3  sg_p2        4.53798e+02   1.84402e+01   1.73428e-02  -4.48601e-01
-   4  sg_p3        1.35998e+02   2.83987e+01   6.04366e-02   9.27242e-01
-   5  sg_p4        9.26443e-01   6.89823e-03   2.04324e-03   1.02149e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.564e-02 -6.233e-03 -1.752e-01 -1.395e+00 -5.632e-05 
- -6.233e-03  6.814e-02 -1.435e+00  2.042e+00  6.927e-04 
- -1.752e-01 -1.435e+00  3.454e+02 -5.423e+01 -5.416e-02 
- -1.395e+00  2.042e+00 -5.423e+01  9.726e+02 -6.753e-03 
- -5.632e-05  6.927e-04 -5.416e-02 -6.753e-03  4.760e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17564   1.000 -0.082 -0.032 -0.153 -0.028
-        2  0.48195  -0.082  1.000 -0.296  0.251  0.385
-        3  0.45633  -0.032 -0.296  1.000 -0.094 -0.422
-        4  0.32602  -0.153  0.251 -0.094  1.000 -0.031
-        5  0.52240  -0.028  0.385 -0.422 -0.031  1.000
-500
-503.545 +- 0.292634
-16.4727 +- 0.261019
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 37 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 57 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 59 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 110 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 503.541 +- 0.301948 (stat) - 0.701904 + 0.678912 (syst); -0.717957/+0.695495 (total)
-   Uncertainty on sg_p1 = 16.4684 +- 0.269373 (stat) - 0.390296 + 0.284252 (syst); -0.412882/+0.314547 (total)
-   Uncertainty on sg_p2 = 454.55 +- 18.8889 (stat) - 4.20037 + 9.52429 (syst); -10.3364/+13.4131 (total)
-   Uncertainty on sg_p3 = 135.056 +- 29.1667 (stat) - 21.0404 + 3.7219 (syst); -25.6003/+15.0508 (total)
-   Uncertainty on sg_p4 = 0.927449 +- 0.00708973 (stat) - 0.00100662 + 0.0034528 (syst); -0.00368502/+0.00494853 (total) 
-   === Baseline plot === </br>
-   norm = 1319.62
-JEC     lnN   1.00347  -
-JER     lnN   1.01686  -
-btag    lnN   1.06496  -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt
deleted file mode 100644
index 0bc45dd..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1470.79 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06585    -
-JER       lnN     1.01675   - 
-JEC       lnN     1.0002   -
-trigger   lnN     1.10    -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_crystal_1_285_624/signal550_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_crystal_1_285_624/signal550_sig.log
deleted file mode 100644
index 31e7a79..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_crystal_1_285_624/signal550_sig.log
+++ /dev/null
@@ -1,872 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20474.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   5.07174e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.94014e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.02149e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   3.92576e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -5.54746e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=2.38221e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.31487e+02   5.32162e-01   1.51230e-03   1.42028e-02
-   2  sg_p1        2.98204e+01   4.47933e-01   2.42219e-03   7.73048e-03
-   3  sg_p2        4.57724e+02   1.56211e+01   1.09347e-02  -8.53008e-03
-   4  sg_p3        8.95652e+01   1.08014e+01   3.54792e-02   1.21216e-02
-   5  sg_p4        9.54096e-01   8.70766e-03   2.37118e-03  -9.01545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.832e-01 -4.050e-02  7.504e-01 -1.728e+00 -9.374e-04 
- -4.050e-02  2.007e-01 -3.095e+00  6.692e-01  2.076e-03 
-  7.504e-01 -3.095e+00  2.467e+02 -1.356e+01 -1.062e-01 
- -1.728e+00  6.692e-01 -1.356e+01  1.226e+02  1.630e-02 
- -9.374e-04  2.076e-03 -1.062e-01  1.630e-02  7.587e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.34824   1.000 -0.170  0.090 -0.293 -0.202
-        2  0.53901  -0.170  1.000 -0.440  0.135  0.532
-        3  0.78111   0.090 -0.440  1.000 -0.078 -0.776
-        4  0.32107  -0.293  0.135 -0.078  1.000  0.169
-        5  0.81348  -0.202  0.532 -0.776  0.169  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM HESSE     STATUS=OK             31 CALLS         325 TOTAL
-                     EDM=2.38806e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.31487e+02   5.34249e-01   6.04920e-05  -3.96390e-01
-   2  sg_p1        2.98204e+01   4.49790e-01   9.68875e-05   3.93104e-01
-   3  sg_p2        4.57724e+02   1.57210e+01   4.37390e-04  -4.03212e-01
-   4  sg_p3        8.95652e+01   1.08586e+01   1.41917e-03   8.75892e-01
-   5  sg_p4        9.54096e-01   8.77545e-03   4.74236e-04   1.13895e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.854e-01 -4.220e-02  8.178e-01 -1.810e+00 -9.783e-04 
- -4.220e-02  2.024e-01 -3.172e+00  7.162e-01  2.121e-03 
-  8.178e-01 -3.172e+00  2.499e+02 -1.585e+01 -1.082e-01 
- -1.810e+00  7.162e-01 -1.585e+01  1.240e+02  1.767e-02 
- -9.783e-04  2.121e-03 -1.082e-01  1.767e-02  7.705e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.35795   1.000 -0.176  0.097 -0.304 -0.209
-        2  0.54441  -0.176  1.000 -0.446  0.143  0.537
-        3  0.78430   0.097 -0.446  1.000 -0.090 -0.780
-        4  0.33330  -0.304  0.143 -0.090  1.000  0.181
-        5  0.81668  -0.209  0.537 -0.780  0.181  1.000
-550
-531.487 +- 0.534249
-29.8204 +- 0.44979
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20306.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   3.00053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.48703e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.55356e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   2.98032e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -6.39572e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=4.51479e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.33845e+02   5.50540e-01   1.48402e-03   3.91502e-02
-   2  sg_p1        2.97723e+01   4.71570e-01   2.44878e-03   2.61411e-02
-   3  sg_p2        4.60591e+02   1.38428e+01   8.85082e-03  -6.68765e-03
-   4  sg_p3        8.05212e+01   8.20745e+00   2.03850e-02   9.33536e-03
-   5  sg_p4        9.47592e-01   1.00547e-02   2.37122e-03  -3.27058e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.031e-01 -5.910e-02  9.827e-01 -1.368e+00 -1.430e-03 
- -5.910e-02  2.224e-01 -3.125e+00  3.654e-01  2.724e-03 
-  9.827e-01 -3.125e+00  1.932e+02  9.312e+00 -1.123e-01 
- -1.368e+00  3.654e-01  9.312e+00  6.849e+01  4.927e-03 
- -1.430e-03  2.724e-03 -1.123e-01  4.927e-03  1.012e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.39978   1.000 -0.228  0.128 -0.300 -0.258
-        2  0.58300  -0.228  1.000 -0.477  0.094  0.574
-        3  0.81557   0.128 -0.477  1.000  0.081 -0.803
-        4  0.35284  -0.300  0.094  0.081  1.000  0.059
-        5  0.84274  -0.258  0.574 -0.803  0.059  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM HESSE     STATUS=OK             31 CALLS         324 TOTAL
-                     EDM=4.5264e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.33845e+02   5.51808e-01   2.96804e-04  -3.24384e-01
-   2  sg_p1        2.97723e+01   4.73610e-01   9.79512e-05   3.89948e-01
-   3  sg_p2        4.60591e+02   1.39421e+01   3.54033e-04  -3.70629e-01
-   4  sg_p3        8.05212e+01   8.22375e+00   8.15398e-04   6.03025e-01
-   5  sg_p4        9.47592e-01   1.01305e-02   4.74244e-04   1.10884e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.045e-01 -6.047e-02  1.021e+00 -1.394e+00 -1.460e-03 
- -6.047e-02  2.244e-01 -3.200e+00  3.711e-01  2.779e-03 
-  1.021e+00 -3.200e+00  1.960e+02  9.327e+00 -1.144e-01 
- -1.394e+00  3.711e-01  9.327e+00  6.877e+01  5.012e-03 
- -1.460e-03  2.779e-03 -1.144e-01  5.012e-03  1.027e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.40458   1.000 -0.231  0.132 -0.305 -0.261
-        2  0.58785  -0.231  1.000 -0.483  0.094  0.579
-        3  0.81850   0.132 -0.483  1.000  0.080 -0.806
-        4  0.35705  -0.305  0.094  0.080  1.000  0.060
-        5  0.84530  -0.261  0.579 -0.806  0.060  1.000
-550
-533.845 +- 0.551808
-29.7723 +- 0.47361
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20361.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   7.00402e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   2.42051e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -8.13221e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   4.85542e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -4.37084e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.70671 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             37 CALLS         258 TOTAL
-                     EDM=0.0234896    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29061e+02   5.14520e-01   1.55758e-03   2.24394e-02
-   2  sg_p1        2.98860e+01   4.23991e-01   2.39855e-03  -1.26397e-01
-   3  sg_p2        4.50244e+02   1.76938e+01   1.40698e-02  -3.32037e-01
-   4  sg_p3        9.92707e+01   5.23923e+01   1.16245e-01  -1.87665e-01
-   5  sg_p4        9.58893e-01   7.41282e-03   2.32468e-03  -2.84571e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.50844e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29115e+02   5.27512e-01   1.55654e-03   5.63178e-02
-   2  sg_p1        2.98537e+01   4.31194e-01   2.39683e-03  -4.86594e-03
-   3  sg_p2        4.52810e+02   1.71881e+01   1.26957e-02  -2.51152e-02
-   4  sg_p3        9.42149e+01   1.22791e+01   5.42279e-02  -7.82994e-03
-   5  sg_p4        9.57905e-01   7.92585e-03   2.33854e-03  -5.94545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.783e-01 -2.926e-02  6.244e-01  2.021e+00 -6.669e-04 
- -2.926e-02  1.860e-01 -3.058e+00 -6.317e-01  1.675e-03 
-  6.244e-01 -3.058e+00  2.995e+02  2.884e+01 -1.049e-01 
-  2.021e+00 -6.317e-01  2.884e+01  1.696e+02 -1.694e-02 
- -6.669e-04  1.675e-03 -1.049e-01 -1.694e-02  6.285e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33042   1.000 -0.129  0.068  0.294 -0.159
-        2  0.49650  -0.129  1.000 -0.410 -0.112  0.490
-        3  0.76815   0.068 -0.410  1.000  0.128 -0.765
-        4  0.31895   0.294 -0.112  0.128  1.000 -0.164
-        5  0.79426  -0.159  0.490 -0.765 -0.164  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             31 CALLS         385 TOTAL
-                     EDM=3.65774e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.29115e+02   5.25382e-01   3.11308e-04  -4.71083e-01
-   2  sg_p1        2.98537e+01   4.32758e-01   9.58731e-05   3.95290e-01
-   3  sg_p2        4.52810e+02   1.73342e+01   5.07828e-04  -4.60177e-01
-   4  sg_p3        9.42149e+01   1.23119e+01   2.16911e-03   2.08346e+00
-   5  sg_p4        9.57905e-01   7.98860e-03   4.67708e-04   1.15752e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.761e-01 -3.020e-02  7.182e-01  1.927e+00 -6.928e-04 
- -3.020e-02  1.873e-01 -3.149e+00 -7.080e-01  1.713e-03 
-  7.182e-01 -3.149e+00  3.047e+02  3.675e+01 -1.073e-01 
-  1.927e+00 -7.080e-01  3.675e+01  1.706e+02 -1.945e-02 
- -6.928e-04  1.713e-03 -1.073e-01 -1.945e-02  6.385e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31928   1.000 -0.133  0.078  0.281 -0.165
-        2  0.50194  -0.133  1.000 -0.417 -0.125  0.495
-        3  0.77268   0.078 -0.417  1.000  0.161 -0.769
-        4  0.31887   0.281 -0.125  0.161  1.000 -0.186
-        5  0.79789  -0.165  0.495 -0.769 -0.186  1.000
-550
-529.115 +- 0.525382
-29.8537 +- 0.432758
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19951.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.82283e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.71398e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.74238e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.44109e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77604e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM MIGRAD    STATUS=CONVERGED     211 CALLS         212 TOTAL
-                     EDM=2.97149e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54818e+02   3.19097e-01   8.63536e-04  -3.36904e-01
-   2  sg_p1        1.76653e+01   2.93110e-01   1.48879e-03   2.40235e-04
-   3  sg_p2        5.24916e+02   6.40830e+00   5.54557e-03  -1.03056e-02
-   4  sg_p3        7.57816e+01   6.01449e+00   1.24041e-02  -3.47693e-02
-   5  sg_p4        9.15383e-01   8.76094e-03   2.18461e-03   2.17805e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.018e-01 -7.952e-03  2.184e-01 -3.767e-01 -2.239e-04 
- -7.952e-03  8.592e-02  5.369e-01  4.736e-01  1.353e-03 
-  2.184e-01  5.369e-01  4.114e+01 -3.542e+00  2.620e-02 
- -3.767e-01  4.736e-01 -3.542e+00  3.645e+01  1.672e-02 
- -2.239e-04  1.353e-03  2.620e-02  1.672e-02  7.678e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23180   1.000 -0.085  0.107 -0.196 -0.080
-        2  0.54417  -0.085  1.000  0.286  0.268  0.527
-        3  0.54552   0.107  0.286  1.000 -0.091  0.466
-        4  0.45297  -0.196  0.268 -0.091  1.000  0.316
-        5  0.66946  -0.080  0.527  0.466  0.316  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM HESSE     STATUS=OK             31 CALLS         243 TOTAL
-                     EDM=2.96981e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54818e+02   3.19404e-01   1.72707e-04   2.84322e-01
-   2  sg_p1        1.76653e+01   2.93042e-01   5.95515e-05  -3.61434e-01
-   3  sg_p2        5.24916e+02   6.41299e+00   1.10911e-03   2.82124e+00
-   4  sg_p3        7.57816e+01   6.04287e+00   4.96162e-04   4.80037e-01
-   5  sg_p4        9.15383e-01   8.75334e-03   8.73843e-05   9.80484e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.020e-01 -8.145e-03  2.258e-01 -3.874e-01 -2.275e-04 
- -8.145e-03  8.588e-02  5.267e-01  4.756e-01  1.350e-03 
-  2.258e-01  5.267e-01  4.120e+01 -4.152e+00  2.584e-02 
- -3.874e-01  4.756e-01 -4.152e+00  3.680e+01  1.675e-02 
- -2.275e-04  1.350e-03  2.584e-02  1.675e-02  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23569   1.000 -0.087  0.110 -0.200 -0.081
-        2  0.54387  -0.087  1.000  0.280  0.268  0.526
-        3  0.54648   0.110  0.280  1.000 -0.107  0.460
-        4  0.46089  -0.200  0.268 -0.107  1.000  0.315
-        5  0.66874  -0.081  0.526  0.460  0.315  1.000
-550
-554.818 +- 0.319404
-17.6653 +- 0.293042
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19898.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.95168e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   4.81948e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.76540e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.98194e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.74417e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM MIGRAD    STATUS=CONVERGED     196 CALLS         197 TOTAL
-                     EDM=1.01176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55808e+02   3.25659e-01   8.83901e-04  -1.63522e-01
-   2  sg_p1        1.77469e+01   3.01241e-01   1.51845e-03  -1.82594e-02
-   3  sg_p2        5.26122e+02   6.31840e+00   5.51012e-03  -4.30688e-02
-   4  sg_p3        7.70352e+01   6.10785e+00   1.27318e-02  -4.97405e-03
-   5  sg_p4        9.08807e-01   9.02494e-03   2.18610e-03  -1.94192e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.061e-01 -1.054e-02 -2.294e-01 -4.229e-01 -2.862e-04 
- -1.054e-02  9.076e-02 -4.904e-01  5.133e-01  1.441e-03 
- -2.294e-01 -4.904e-01  3.999e+01  5.524e+00 -2.505e-02 
- -4.229e-01  5.133e-01  5.524e+00  3.761e+01  1.706e-02 
- -2.862e-04  1.441e-03 -2.505e-02  1.706e-02  8.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24854   1.000 -0.107 -0.111 -0.212 -0.097
-        2  0.54949  -0.107  1.000 -0.257  0.278  0.530
-        3  0.54187  -0.111 -0.257  1.000  0.142 -0.439
-        4  0.47566  -0.212  0.278  0.142  1.000  0.308
-        5  0.66453  -0.097  0.530 -0.439  0.308  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM HESSE     STATUS=OK             31 CALLS         228 TOTAL
-                     EDM=1.00847e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.55808e+02   3.25832e-01   1.76780e-04   3.13943e-01
-   2  sg_p1        1.77469e+01   3.02069e-01   6.07379e-05  -3.56157e-01
-   3  sg_p2        5.26122e+02   6.32494e+00   1.10202e-03   6.61694e+00
-   4  sg_p3        7.70352e+01   6.12320e+00   5.09272e-04   5.11714e-01
-   5  sg_p4        9.08807e-01   9.06729e-03   8.74438e-05   9.57256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.062e-01 -1.081e-02 -2.268e-01 -4.286e-01 -2.938e-04 
- -1.081e-02  9.126e-02 -4.992e-01  5.258e-01  1.460e-03 
- -2.268e-01 -4.992e-01  4.007e+01  5.270e+00 -2.536e-02 
- -4.286e-01  5.258e-01  5.270e+00  3.780e+01  1.761e-02 
- -2.938e-04  1.460e-03 -2.536e-02  1.761e-02  8.224e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25053   1.000 -0.110 -0.110 -0.214 -0.099
-        2  0.55296  -0.110  1.000 -0.261  0.283  0.533
-        3  0.54324  -0.110 -0.261  1.000  0.135 -0.442
-        4  0.47947  -0.214  0.283  0.135  1.000  0.316
-        5  0.66843  -0.099  0.533 -0.442  0.316  1.000
-550
-555.808 +- 0.325832
-17.7469 +- 0.302069
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19728.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.67505e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.63661e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.67995e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.03919e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77879e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM MIGRAD    STATUS=CONVERGED     209 CALLS         210 TOTAL
-                     EDM=1.24678e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.53868e+02   3.10680e-01   8.32651e-04  -2.62603e-02
-   2  sg_p1        1.72866e+01   2.81268e-01   1.45728e-03   8.07767e-02
-   3  sg_p2        5.24887e+02   6.75798e+00   5.96660e-03  -3.92394e-02
-   4  sg_p3        7.92365e+01   6.79795e+00   1.48996e-02   6.90285e-03
-   5  sg_p4        9.17534e-01   8.29708e-03   2.15408e-03  -1.06137e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.652e-02 -6.967e-03  2.218e-01 -3.867e-01 -1.900e-04 
- -6.967e-03  7.912e-02  4.748e-01  5.229e-01  1.170e-03 
-  2.218e-01  4.748e-01  4.576e+01 -5.306e+00  2.407e-02 
- -3.867e-01  5.229e-01 -5.306e+00  4.672e+01  1.731e-02 
- -1.900e-04  1.170e-03  2.407e-02  1.731e-02  6.886e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21574   1.000 -0.080  0.106 -0.182 -0.074
-        2  0.52328  -0.080  1.000  0.250  0.272  0.501
-        3  0.51581   0.106  0.250  1.000 -0.115  0.429
-        4  0.44943  -0.182  0.272 -0.115  1.000  0.305
-        5  0.64010  -0.074  0.501  0.429  0.305  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM HESSE     STATUS=OK             31 CALLS         241 TOTAL
-                     EDM=1.27405e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.53868e+02   3.10987e-01   1.66530e-04   2.56169e-01
-   2  sg_p1        1.72866e+01   2.81269e-01   2.91456e-04  -3.86094e-01
-   3  sg_p2        5.24887e+02   6.76745e+00   1.19332e-03   2.82155e+00
-   4  sg_p3        7.92365e+01   6.83832e+00   5.95982e-04   5.68761e-01
-   5  sg_p4        9.17534e-01   8.29250e-03   8.61633e-05   9.88256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.672e-02 -7.180e-03  2.301e-01 -3.999e-01 -1.942e-04 
- -7.180e-03  7.912e-02  4.628e-01  5.278e-01  1.169e-03 
-  2.301e-01  4.628e-01  4.588e+01 -6.142e+00  2.369e-02 
- -3.999e-01  5.278e-01 -6.142e+00  4.728e+01  1.742e-02 
- -1.942e-04  1.169e-03  2.369e-02  1.742e-02  6.879e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22006   1.000 -0.082  0.109 -0.187 -0.075
-        2  0.52328  -0.082  1.000  0.243  0.273  0.501
-        3  0.51782   0.109  0.243  1.000 -0.132  0.422
-        4  0.45946  -0.187  0.273 -0.132  1.000  0.305
-        5  0.63959  -0.075  0.501  0.422  0.305  1.000
-550
-553.868 +- 0.310987
-17.2866 +- 0.281269
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19523.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.78246e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.48227e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.72744e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.53463e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.73440e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=1.1296e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54743e+02   3.23108e-01   8.67838e-04   1.02910e-02
-   2  sg_p1        1.78036e+01   2.93560e-01   1.48809e-03   3.64244e-02
-   3  sg_p2        5.29749e+02   7.02376e+00   6.17425e-03   3.49463e-03
-   4  sg_p3        8.01422e+01   7.11749e+00   1.53333e-02   4.67692e-03
-   5  sg_p4        9.16151e-01   8.68122e-03   2.20244e-03  -2.64886e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.044e-01 -5.800e-03  3.107e-01 -4.077e-01 -1.462e-04 
- -5.800e-03  8.619e-02  4.716e-01  5.708e-01  1.298e-03 
-  3.107e-01  4.716e-01  4.944e+01 -9.571e+00  2.482e-02 
- -4.077e-01  5.708e-01 -9.571e+00  5.129e+01  1.933e-02 
- -1.462e-04  1.298e-03  2.482e-02  1.933e-02  7.539e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21481   1.000 -0.061  0.137 -0.176 -0.052
-        2  0.52839  -0.061  1.000  0.228  0.271  0.509
-        3  0.54059   0.137  0.228  1.000 -0.190  0.407
-        4  0.49556  -0.176  0.271 -0.190  1.000  0.311
-        5  0.64950  -0.052  0.509  0.407  0.311  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM HESSE     STATUS=OK             31 CALLS         252 TOTAL
-                     EDM=1.13732e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54743e+02   3.23491e-01   3.47135e-05   2.82090e-01
-   2  sg_p1        1.78036e+01   2.93564e-01   5.95236e-05  -3.52489e-01
-   3  sg_p2        5.29749e+02   7.04856e+00   2.46970e-04   2.76712e+00
-   4  sg_p3        8.01422e+01   7.18360e+00   6.13332e-04   5.92835e-01
-   5  sg_p4        9.16151e-01   8.67262e-03   4.40487e-04   9.83249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.046e-01 -6.090e-03  3.230e-01 -4.265e-01 -1.522e-04 
- -6.090e-03  8.619e-02  4.539e-01  5.786e-01  1.296e-03 
-  3.230e-01  4.539e-01  4.979e+01 -1.084e+01  2.423e-02 
- -4.265e-01  5.786e-01 -1.084e+01  5.225e+01  1.948e-02 
- -1.522e-04  1.296e-03  2.423e-02  1.948e-02  7.524e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22000   1.000 -0.064  0.142 -0.182 -0.054
-        2  0.52841  -0.064  1.000  0.219  0.273  0.509
-        3  0.54519   0.142  0.219  1.000 -0.213  0.396
-        4  0.50912  -0.182  0.273 -0.213  1.000  0.311
-        5  0.64862  -0.054  0.509  0.396  0.311  1.000
-550
-554.743 +- 0.323491
-17.8036 +- 0.293564
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20158.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.85494e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.04709e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.75210e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.33590e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.81352e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=7.37276e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54870e+02   3.11615e-01   8.46985e-04  -5.92156e-02
-   2  sg_p1        1.73495e+01   2.85260e-01   1.47111e-03   7.67177e-02
-   3  sg_p2        5.24331e+02   6.05754e+00   5.28257e-03   4.53885e-03
-   4  sg_p3        7.34136e+01   5.53118e+00   1.12466e-02  -1.10576e-02
-   5  sg_p4        9.15605e-01   8.65240e-03   2.17248e-03  -7.85532e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.711e-02 -7.947e-03  1.826e-01 -3.420e-01 -2.412e-04 
- -7.947e-03  8.138e-02  5.038e-01  4.162e-01  1.294e-03 
-  1.826e-01  5.038e-01  3.675e+01 -2.414e+00  2.461e-02 
- -3.420e-01  4.162e-01 -2.414e+00  3.078e+01  1.542e-02 
- -2.412e-04  1.294e-03  2.461e-02  1.542e-02  7.489e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23325   1.000 -0.089  0.097 -0.198 -0.089
-        2  0.54079  -0.089  1.000  0.291  0.263  0.524
-        3  0.54052   0.097  0.291  1.000 -0.072  0.469
-        4  0.44504  -0.198  0.263 -0.072  1.000  0.321
-        5  0.66858  -0.089  0.524  0.469  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM HESSE     STATUS=OK             31 CALLS         233 TOTAL
-                     EDM=7.38816e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54870e+02   3.11900e-01   1.69397e-04   2.85889e-01
-   2  sg_p1        1.73495e+01   2.85061e-01   2.94222e-04  -3.81980e-01
-   3  sg_p2        5.24331e+02   6.05810e+00   2.11303e-04   2.82772e+00
-   4  sg_p3        7.34136e+01   5.55334e+00   4.49864e-04   4.21567e-01
-   5  sg_p4        9.15605e-01   8.63836e-03   4.34496e-04   9.81281e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.728e-02 -8.106e-03  1.896e-01 -3.508e-01 -2.439e-04 
- -8.106e-03  8.127e-02  4.931e-01  4.161e-01  1.289e-03 
-  1.896e-01  4.931e-01  3.676e+01 -2.963e+00  2.422e-02 
- -3.508e-01  4.161e-01 -2.963e+00  3.103e+01  1.537e-02 
- -2.439e-04  1.289e-03  2.422e-02  1.537e-02  7.465e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23692   1.000 -0.091  0.100 -0.202 -0.091
-        2  0.53988  -0.091  1.000  0.285  0.262  0.523
-        3  0.54066   0.100  0.285  1.000 -0.088  0.462
-        4  0.45196  -0.202  0.262 -0.088  1.000  0.319
-        5  0.66723  -0.091  0.523  0.462  0.319  1.000
-550
-554.87 +- 0.3119
-17.3495 +- 0.285061
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18671.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.70584e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.36049e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.63312e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.13435e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.66463e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM MIGRAD    STATUS=CONVERGED     203 CALLS         204 TOTAL
-                     EDM=1.02695e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54811e+02   3.29767e-01   8.63223e-04  -1.93001e-01
-   2  sg_p1        1.76648e+01   3.03153e-01   1.48879e-03   3.74125e-02
-   3  sg_p2        5.25130e+02   6.59118e+00   5.51974e-03  -1.87163e-03
-   4  sg_p3        7.53402e+01   6.16780e+00   1.22242e-02  -1.30639e-02
-   5  sg_p4        9.15918e-01   9.07192e-03   2.19004e-03  -5.75224e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.088e-01 -8.558e-03  2.332e-01 -4.008e-01 -2.433e-04 
- -8.558e-03  9.191e-02  5.712e-01  5.058e-01  1.454e-03 
-  2.332e-01  5.712e-01  4.352e+01 -3.716e+00  2.786e-02 
- -4.008e-01  5.058e-01 -3.716e+00  3.834e+01  1.804e-02 
- -2.433e-04  1.454e-03  2.786e-02  1.804e-02  8.233e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23278   1.000 -0.086  0.107 -0.196 -0.081
-        2  0.54570  -0.086  1.000  0.286  0.269  0.529
-        3  0.54594   0.107  0.286  1.000 -0.091  0.465
-        4  0.45689  -0.196  0.269 -0.091  1.000  0.321
-        5  0.67171  -0.081  0.529  0.465  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM HESSE     STATUS=OK             31 CALLS         235 TOTAL
-                     EDM=1.02452e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54811e+02   3.30104e-01   1.72645e-04   2.84116e-01
-   2  sg_p1        1.76648e+01   3.03000e-01   5.95517e-05  -3.61468e-01
-   3  sg_p2        5.25130e+02   6.59509e+00   2.20790e-04   2.81886e+00
-   4  sg_p3        7.53402e+01   6.19835e+00   4.88968e-04   4.69011e-01
-   5  sg_p4        9.15918e-01   9.05834e-03   4.38009e-04   9.82408e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e-01 -8.764e-03  2.421e-01 -4.127e-01 -2.470e-04 
- -8.764e-03  9.182e-02  5.581e-01  5.069e-01  1.449e-03 
-  2.421e-01  5.581e-01  4.357e+01 -4.454e+00  2.739e-02 
- -4.127e-01  5.069e-01 -4.454e+00  3.873e+01  1.802e-02 
- -2.470e-04  1.449e-03  2.739e-02  1.802e-02  8.208e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23689   1.000 -0.088  0.111 -0.201 -0.083
-        2  0.54504  -0.088  1.000  0.279  0.269  0.528
-        3  0.54671   0.111  0.279  1.000 -0.108  0.458
-        4  0.46512  -0.201  0.269 -0.108  1.000  0.320
-        5  0.67048  -0.083  0.528  0.458  0.320  1.000
-550
-554.811 +- 0.330104
-17.6648 +- 0.303
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21296.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.94576e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.08481e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.85706e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.76455e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.89298e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=3.34483e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54825e+02   3.08932e-01   8.64414e-04  -3.40457e-01
-   2  sg_p1        1.76653e+01   2.83564e-01   1.49117e-03  -1.87292e-01
-   3  sg_p2        5.24710e+02   6.23394e+00   5.56281e-03  -3.21417e-03
-   4  sg_p3        7.62214e+01   5.87300e+00   1.25436e-02  -2.96877e-02
-   5  sg_p4        9.14864e-01   8.46661e-03   2.18261e-03   1.16509e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.544e-02 -7.404e-03  2.048e-01 -3.550e-01 -2.065e-04 
- -7.404e-03  8.042e-02  5.052e-01  4.449e-01  1.260e-03 
-  2.048e-01  5.052e-01  3.892e+01 -3.380e+00  2.466e-02 
- -3.550e-01  4.449e-01 -3.380e+00  3.475e+01  1.555e-02 
- -2.065e-04  1.260e-03  2.466e-02  1.555e-02  7.171e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23094   1.000 -0.085  0.106 -0.195 -0.079
-        2  0.54280  -0.085  1.000  0.286  0.266  0.525
-        3  0.54506   0.106  0.286  1.000 -0.092  0.467
-        4  0.44944  -0.195  0.266 -0.092  1.000  0.312
-        5  0.66734  -0.079  0.525  0.467  0.312  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM HESSE     STATUS=OK             31 CALLS         240 TOTAL
-                     EDM=3.3454e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54825e+02   3.09247e-01   1.72883e-04   2.84530e-01
-   2  sg_p1        1.76653e+01   2.83385e-01   2.98233e-04  -3.61435e-01
-   3  sg_p2        5.24710e+02   6.23786e+00   2.22512e-04   2.82352e+00
-   4  sg_p3        7.62214e+01   5.90192e+00   5.01743e-04   4.91089e-01
-   5  sg_p4        9.14864e-01   8.45305e-03   4.36523e-04   9.78619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.564e-02 -7.578e-03  2.127e-01 -3.656e-01 -2.095e-04 
- -7.578e-03  8.032e-02  4.934e-01  4.455e-01  1.255e-03 
-  2.127e-01  4.934e-01  3.897e+01 -4.053e+00  2.424e-02 
- -3.656e-01  4.455e-01 -4.053e+00  3.509e+01  1.551e-02 
- -2.095e-04  1.255e-03  2.424e-02  1.551e-02  7.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23507   1.000 -0.086  0.110 -0.200 -0.080
-        2  0.54198  -0.086  1.000  0.279  0.265  0.524
-        3  0.54588   0.110  0.279  1.000 -0.110  0.459
-        4  0.45781  -0.200  0.265 -0.110  1.000  0.310
-        5  0.66600  -0.080  0.524  0.459  0.310  1.000
-550
-554.825 +- 0.309247
-17.6653 +- 0.283385
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 25 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 34 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 38 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 39 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 40 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 47 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 112 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 114 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 554.818 +- 0.319404 (stat) - 0.949548 + 0.990665 (syst); -0.962884/+1.00345 (total)
-   Uncertainty on sg_p1 = 17.6653 +- 0.293042 (stat) - 0.37879 + 0.13828 (syst); -0.406141/+0.201469 (total)
-   Uncertainty on sg_p2 = 524.916 +- 6.41299 (stat) - 0.585115 + 4.83374 (syst); -3.25944/+5.80057 (total)
-   Uncertainty on sg_p3 = 75.7816 +- 6.04287 (stat) - 2.36797 + 4.36061 (syst); -3.8388/+5.30509 (total)
-   Uncertainty on sg_p4 = 0.915383 +- 0.00875334 (stat) - 0.00657606 + 0.00215055 (syst); -0.00789935/+0.00487649 (total) 
-   === Baseline plot === </br>
-   norm = 1470.79
-JEC     lnN   1.0002  -
-JER     lnN   1.01675  -
-btag    lnN   1.06585  -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt
deleted file mode 100644
index ab03e79..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1470.79 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06585    -
-JER       lnN     1.01675   - 
-JEC       lnN     1.0002   -
-trigger   lnN     1.10    -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_novo_285_624/signal550_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_novo_285_624/signal550_sig.log
deleted file mode 100644
index 31e7a79..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_550_novo_285_624/signal550_sig.log
+++ /dev/null
@@ -1,872 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20474.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   5.07174e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.94014e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.02149e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   3.92576e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -5.54746e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=2.38221e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.31487e+02   5.32162e-01   1.51230e-03   1.42028e-02
-   2  sg_p1        2.98204e+01   4.47933e-01   2.42219e-03   7.73048e-03
-   3  sg_p2        4.57724e+02   1.56211e+01   1.09347e-02  -8.53008e-03
-   4  sg_p3        8.95652e+01   1.08014e+01   3.54792e-02   1.21216e-02
-   5  sg_p4        9.54096e-01   8.70766e-03   2.37118e-03  -9.01545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.832e-01 -4.050e-02  7.504e-01 -1.728e+00 -9.374e-04 
- -4.050e-02  2.007e-01 -3.095e+00  6.692e-01  2.076e-03 
-  7.504e-01 -3.095e+00  2.467e+02 -1.356e+01 -1.062e-01 
- -1.728e+00  6.692e-01 -1.356e+01  1.226e+02  1.630e-02 
- -9.374e-04  2.076e-03 -1.062e-01  1.630e-02  7.587e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.34824   1.000 -0.170  0.090 -0.293 -0.202
-        2  0.53901  -0.170  1.000 -0.440  0.135  0.532
-        3  0.78111   0.090 -0.440  1.000 -0.078 -0.776
-        4  0.32107  -0.293  0.135 -0.078  1.000  0.169
-        5  0.81348  -0.202  0.532 -0.776  0.169  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM HESSE     STATUS=OK             31 CALLS         325 TOTAL
-                     EDM=2.38806e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.31487e+02   5.34249e-01   6.04920e-05  -3.96390e-01
-   2  sg_p1        2.98204e+01   4.49790e-01   9.68875e-05   3.93104e-01
-   3  sg_p2        4.57724e+02   1.57210e+01   4.37390e-04  -4.03212e-01
-   4  sg_p3        8.95652e+01   1.08586e+01   1.41917e-03   8.75892e-01
-   5  sg_p4        9.54096e-01   8.77545e-03   4.74236e-04   1.13895e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.854e-01 -4.220e-02  8.178e-01 -1.810e+00 -9.783e-04 
- -4.220e-02  2.024e-01 -3.172e+00  7.162e-01  2.121e-03 
-  8.178e-01 -3.172e+00  2.499e+02 -1.585e+01 -1.082e-01 
- -1.810e+00  7.162e-01 -1.585e+01  1.240e+02  1.767e-02 
- -9.783e-04  2.121e-03 -1.082e-01  1.767e-02  7.705e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.35795   1.000 -0.176  0.097 -0.304 -0.209
-        2  0.54441  -0.176  1.000 -0.446  0.143  0.537
-        3  0.78430   0.097 -0.446  1.000 -0.090 -0.780
-        4  0.33330  -0.304  0.143 -0.090  1.000  0.181
-        5  0.81668  -0.209  0.537 -0.780  0.181  1.000
-550
-531.487 +- 0.534249
-29.8204 +- 0.44979
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20306.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   3.00053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.48703e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.55356e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   2.98032e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -6.39572e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=4.51479e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.33845e+02   5.50540e-01   1.48402e-03   3.91502e-02
-   2  sg_p1        2.97723e+01   4.71570e-01   2.44878e-03   2.61411e-02
-   3  sg_p2        4.60591e+02   1.38428e+01   8.85082e-03  -6.68765e-03
-   4  sg_p3        8.05212e+01   8.20745e+00   2.03850e-02   9.33536e-03
-   5  sg_p4        9.47592e-01   1.00547e-02   2.37122e-03  -3.27058e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.031e-01 -5.910e-02  9.827e-01 -1.368e+00 -1.430e-03 
- -5.910e-02  2.224e-01 -3.125e+00  3.654e-01  2.724e-03 
-  9.827e-01 -3.125e+00  1.932e+02  9.312e+00 -1.123e-01 
- -1.368e+00  3.654e-01  9.312e+00  6.849e+01  4.927e-03 
- -1.430e-03  2.724e-03 -1.123e-01  4.927e-03  1.012e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.39978   1.000 -0.228  0.128 -0.300 -0.258
-        2  0.58300  -0.228  1.000 -0.477  0.094  0.574
-        3  0.81557   0.128 -0.477  1.000  0.081 -0.803
-        4  0.35284  -0.300  0.094  0.081  1.000  0.059
-        5  0.84274  -0.258  0.574 -0.803  0.059  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM HESSE     STATUS=OK             31 CALLS         324 TOTAL
-                     EDM=4.5264e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.33845e+02   5.51808e-01   2.96804e-04  -3.24384e-01
-   2  sg_p1        2.97723e+01   4.73610e-01   9.79512e-05   3.89948e-01
-   3  sg_p2        4.60591e+02   1.39421e+01   3.54033e-04  -3.70629e-01
-   4  sg_p3        8.05212e+01   8.22375e+00   8.15398e-04   6.03025e-01
-   5  sg_p4        9.47592e-01   1.01305e-02   4.74244e-04   1.10884e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.045e-01 -6.047e-02  1.021e+00 -1.394e+00 -1.460e-03 
- -6.047e-02  2.244e-01 -3.200e+00  3.711e-01  2.779e-03 
-  1.021e+00 -3.200e+00  1.960e+02  9.327e+00 -1.144e-01 
- -1.394e+00  3.711e-01  9.327e+00  6.877e+01  5.012e-03 
- -1.460e-03  2.779e-03 -1.144e-01  5.012e-03  1.027e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.40458   1.000 -0.231  0.132 -0.305 -0.261
-        2  0.58785  -0.231  1.000 -0.483  0.094  0.579
-        3  0.81850   0.132 -0.483  1.000  0.080 -0.806
-        4  0.35705  -0.305  0.094  0.080  1.000  0.060
-        5  0.84530  -0.261  0.579 -0.806  0.060  1.000
-550
-533.845 +- 0.551808
-29.7723 +- 0.47361
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20361.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   7.00402e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   2.42051e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -8.13221e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   4.85542e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -4.37084e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.70671 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             37 CALLS         258 TOTAL
-                     EDM=0.0234896    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29061e+02   5.14520e-01   1.55758e-03   2.24394e-02
-   2  sg_p1        2.98860e+01   4.23991e-01   2.39855e-03  -1.26397e-01
-   3  sg_p2        4.50244e+02   1.76938e+01   1.40698e-02  -3.32037e-01
-   4  sg_p3        9.92707e+01   5.23923e+01   1.16245e-01  -1.87665e-01
-   5  sg_p4        9.58893e-01   7.41282e-03   2.32468e-03  -2.84571e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.50844e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29115e+02   5.27512e-01   1.55654e-03   5.63178e-02
-   2  sg_p1        2.98537e+01   4.31194e-01   2.39683e-03  -4.86594e-03
-   3  sg_p2        4.52810e+02   1.71881e+01   1.26957e-02  -2.51152e-02
-   4  sg_p3        9.42149e+01   1.22791e+01   5.42279e-02  -7.82994e-03
-   5  sg_p4        9.57905e-01   7.92585e-03   2.33854e-03  -5.94545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.783e-01 -2.926e-02  6.244e-01  2.021e+00 -6.669e-04 
- -2.926e-02  1.860e-01 -3.058e+00 -6.317e-01  1.675e-03 
-  6.244e-01 -3.058e+00  2.995e+02  2.884e+01 -1.049e-01 
-  2.021e+00 -6.317e-01  2.884e+01  1.696e+02 -1.694e-02 
- -6.669e-04  1.675e-03 -1.049e-01 -1.694e-02  6.285e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33042   1.000 -0.129  0.068  0.294 -0.159
-        2  0.49650  -0.129  1.000 -0.410 -0.112  0.490
-        3  0.76815   0.068 -0.410  1.000  0.128 -0.765
-        4  0.31895   0.294 -0.112  0.128  1.000 -0.164
-        5  0.79426  -0.159  0.490 -0.765 -0.164  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             31 CALLS         385 TOTAL
-                     EDM=3.65774e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.29115e+02   5.25382e-01   3.11308e-04  -4.71083e-01
-   2  sg_p1        2.98537e+01   4.32758e-01   9.58731e-05   3.95290e-01
-   3  sg_p2        4.52810e+02   1.73342e+01   5.07828e-04  -4.60177e-01
-   4  sg_p3        9.42149e+01   1.23119e+01   2.16911e-03   2.08346e+00
-   5  sg_p4        9.57905e-01   7.98860e-03   4.67708e-04   1.15752e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.761e-01 -3.020e-02  7.182e-01  1.927e+00 -6.928e-04 
- -3.020e-02  1.873e-01 -3.149e+00 -7.080e-01  1.713e-03 
-  7.182e-01 -3.149e+00  3.047e+02  3.675e+01 -1.073e-01 
-  1.927e+00 -7.080e-01  3.675e+01  1.706e+02 -1.945e-02 
- -6.928e-04  1.713e-03 -1.073e-01 -1.945e-02  6.385e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31928   1.000 -0.133  0.078  0.281 -0.165
-        2  0.50194  -0.133  1.000 -0.417 -0.125  0.495
-        3  0.77268   0.078 -0.417  1.000  0.161 -0.769
-        4  0.31887   0.281 -0.125  0.161  1.000 -0.186
-        5  0.79789  -0.165  0.495 -0.769 -0.186  1.000
-550
-529.115 +- 0.525382
-29.8537 +- 0.432758
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19951.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.82283e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.71398e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.74238e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.44109e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77604e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM MIGRAD    STATUS=CONVERGED     211 CALLS         212 TOTAL
-                     EDM=2.97149e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54818e+02   3.19097e-01   8.63536e-04  -3.36904e-01
-   2  sg_p1        1.76653e+01   2.93110e-01   1.48879e-03   2.40235e-04
-   3  sg_p2        5.24916e+02   6.40830e+00   5.54557e-03  -1.03056e-02
-   4  sg_p3        7.57816e+01   6.01449e+00   1.24041e-02  -3.47693e-02
-   5  sg_p4        9.15383e-01   8.76094e-03   2.18461e-03   2.17805e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.018e-01 -7.952e-03  2.184e-01 -3.767e-01 -2.239e-04 
- -7.952e-03  8.592e-02  5.369e-01  4.736e-01  1.353e-03 
-  2.184e-01  5.369e-01  4.114e+01 -3.542e+00  2.620e-02 
- -3.767e-01  4.736e-01 -3.542e+00  3.645e+01  1.672e-02 
- -2.239e-04  1.353e-03  2.620e-02  1.672e-02  7.678e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23180   1.000 -0.085  0.107 -0.196 -0.080
-        2  0.54417  -0.085  1.000  0.286  0.268  0.527
-        3  0.54552   0.107  0.286  1.000 -0.091  0.466
-        4  0.45297  -0.196  0.268 -0.091  1.000  0.316
-        5  0.66946  -0.080  0.527  0.466  0.316  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM HESSE     STATUS=OK             31 CALLS         243 TOTAL
-                     EDM=2.96981e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54818e+02   3.19404e-01   1.72707e-04   2.84322e-01
-   2  sg_p1        1.76653e+01   2.93042e-01   5.95515e-05  -3.61434e-01
-   3  sg_p2        5.24916e+02   6.41299e+00   1.10911e-03   2.82124e+00
-   4  sg_p3        7.57816e+01   6.04287e+00   4.96162e-04   4.80037e-01
-   5  sg_p4        9.15383e-01   8.75334e-03   8.73843e-05   9.80484e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.020e-01 -8.145e-03  2.258e-01 -3.874e-01 -2.275e-04 
- -8.145e-03  8.588e-02  5.267e-01  4.756e-01  1.350e-03 
-  2.258e-01  5.267e-01  4.120e+01 -4.152e+00  2.584e-02 
- -3.874e-01  4.756e-01 -4.152e+00  3.680e+01  1.675e-02 
- -2.275e-04  1.350e-03  2.584e-02  1.675e-02  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23569   1.000 -0.087  0.110 -0.200 -0.081
-        2  0.54387  -0.087  1.000  0.280  0.268  0.526
-        3  0.54648   0.110  0.280  1.000 -0.107  0.460
-        4  0.46089  -0.200  0.268 -0.107  1.000  0.315
-        5  0.66874  -0.081  0.526  0.460  0.315  1.000
-550
-554.818 +- 0.319404
-17.6653 +- 0.293042
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19898.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.95168e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   4.81948e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.76540e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.98194e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.74417e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM MIGRAD    STATUS=CONVERGED     196 CALLS         197 TOTAL
-                     EDM=1.01176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55808e+02   3.25659e-01   8.83901e-04  -1.63522e-01
-   2  sg_p1        1.77469e+01   3.01241e-01   1.51845e-03  -1.82594e-02
-   3  sg_p2        5.26122e+02   6.31840e+00   5.51012e-03  -4.30688e-02
-   4  sg_p3        7.70352e+01   6.10785e+00   1.27318e-02  -4.97405e-03
-   5  sg_p4        9.08807e-01   9.02494e-03   2.18610e-03  -1.94192e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.061e-01 -1.054e-02 -2.294e-01 -4.229e-01 -2.862e-04 
- -1.054e-02  9.076e-02 -4.904e-01  5.133e-01  1.441e-03 
- -2.294e-01 -4.904e-01  3.999e+01  5.524e+00 -2.505e-02 
- -4.229e-01  5.133e-01  5.524e+00  3.761e+01  1.706e-02 
- -2.862e-04  1.441e-03 -2.505e-02  1.706e-02  8.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24854   1.000 -0.107 -0.111 -0.212 -0.097
-        2  0.54949  -0.107  1.000 -0.257  0.278  0.530
-        3  0.54187  -0.111 -0.257  1.000  0.142 -0.439
-        4  0.47566  -0.212  0.278  0.142  1.000  0.308
-        5  0.66453  -0.097  0.530 -0.439  0.308  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM HESSE     STATUS=OK             31 CALLS         228 TOTAL
-                     EDM=1.00847e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.55808e+02   3.25832e-01   1.76780e-04   3.13943e-01
-   2  sg_p1        1.77469e+01   3.02069e-01   6.07379e-05  -3.56157e-01
-   3  sg_p2        5.26122e+02   6.32494e+00   1.10202e-03   6.61694e+00
-   4  sg_p3        7.70352e+01   6.12320e+00   5.09272e-04   5.11714e-01
-   5  sg_p4        9.08807e-01   9.06729e-03   8.74438e-05   9.57256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.062e-01 -1.081e-02 -2.268e-01 -4.286e-01 -2.938e-04 
- -1.081e-02  9.126e-02 -4.992e-01  5.258e-01  1.460e-03 
- -2.268e-01 -4.992e-01  4.007e+01  5.270e+00 -2.536e-02 
- -4.286e-01  5.258e-01  5.270e+00  3.780e+01  1.761e-02 
- -2.938e-04  1.460e-03 -2.536e-02  1.761e-02  8.224e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25053   1.000 -0.110 -0.110 -0.214 -0.099
-        2  0.55296  -0.110  1.000 -0.261  0.283  0.533
-        3  0.54324  -0.110 -0.261  1.000  0.135 -0.442
-        4  0.47947  -0.214  0.283  0.135  1.000  0.316
-        5  0.66843  -0.099  0.533 -0.442  0.316  1.000
-550
-555.808 +- 0.325832
-17.7469 +- 0.302069
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19728.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.67505e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.63661e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.67995e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.03919e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77879e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM MIGRAD    STATUS=CONVERGED     209 CALLS         210 TOTAL
-                     EDM=1.24678e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.53868e+02   3.10680e-01   8.32651e-04  -2.62603e-02
-   2  sg_p1        1.72866e+01   2.81268e-01   1.45728e-03   8.07767e-02
-   3  sg_p2        5.24887e+02   6.75798e+00   5.96660e-03  -3.92394e-02
-   4  sg_p3        7.92365e+01   6.79795e+00   1.48996e-02   6.90285e-03
-   5  sg_p4        9.17534e-01   8.29708e-03   2.15408e-03  -1.06137e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.652e-02 -6.967e-03  2.218e-01 -3.867e-01 -1.900e-04 
- -6.967e-03  7.912e-02  4.748e-01  5.229e-01  1.170e-03 
-  2.218e-01  4.748e-01  4.576e+01 -5.306e+00  2.407e-02 
- -3.867e-01  5.229e-01 -5.306e+00  4.672e+01  1.731e-02 
- -1.900e-04  1.170e-03  2.407e-02  1.731e-02  6.886e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21574   1.000 -0.080  0.106 -0.182 -0.074
-        2  0.52328  -0.080  1.000  0.250  0.272  0.501
-        3  0.51581   0.106  0.250  1.000 -0.115  0.429
-        4  0.44943  -0.182  0.272 -0.115  1.000  0.305
-        5  0.64010  -0.074  0.501  0.429  0.305  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM HESSE     STATUS=OK             31 CALLS         241 TOTAL
-                     EDM=1.27405e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.53868e+02   3.10987e-01   1.66530e-04   2.56169e-01
-   2  sg_p1        1.72866e+01   2.81269e-01   2.91456e-04  -3.86094e-01
-   3  sg_p2        5.24887e+02   6.76745e+00   1.19332e-03   2.82155e+00
-   4  sg_p3        7.92365e+01   6.83832e+00   5.95982e-04   5.68761e-01
-   5  sg_p4        9.17534e-01   8.29250e-03   8.61633e-05   9.88256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.672e-02 -7.180e-03  2.301e-01 -3.999e-01 -1.942e-04 
- -7.180e-03  7.912e-02  4.628e-01  5.278e-01  1.169e-03 
-  2.301e-01  4.628e-01  4.588e+01 -6.142e+00  2.369e-02 
- -3.999e-01  5.278e-01 -6.142e+00  4.728e+01  1.742e-02 
- -1.942e-04  1.169e-03  2.369e-02  1.742e-02  6.879e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22006   1.000 -0.082  0.109 -0.187 -0.075
-        2  0.52328  -0.082  1.000  0.243  0.273  0.501
-        3  0.51782   0.109  0.243  1.000 -0.132  0.422
-        4  0.45946  -0.187  0.273 -0.132  1.000  0.305
-        5  0.63959  -0.075  0.501  0.422  0.305  1.000
-550
-553.868 +- 0.310987
-17.2866 +- 0.281269
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19523.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.78246e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.48227e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.72744e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.53463e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.73440e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=1.1296e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54743e+02   3.23108e-01   8.67838e-04   1.02910e-02
-   2  sg_p1        1.78036e+01   2.93560e-01   1.48809e-03   3.64244e-02
-   3  sg_p2        5.29749e+02   7.02376e+00   6.17425e-03   3.49463e-03
-   4  sg_p3        8.01422e+01   7.11749e+00   1.53333e-02   4.67692e-03
-   5  sg_p4        9.16151e-01   8.68122e-03   2.20244e-03  -2.64886e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.044e-01 -5.800e-03  3.107e-01 -4.077e-01 -1.462e-04 
- -5.800e-03  8.619e-02  4.716e-01  5.708e-01  1.298e-03 
-  3.107e-01  4.716e-01  4.944e+01 -9.571e+00  2.482e-02 
- -4.077e-01  5.708e-01 -9.571e+00  5.129e+01  1.933e-02 
- -1.462e-04  1.298e-03  2.482e-02  1.933e-02  7.539e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21481   1.000 -0.061  0.137 -0.176 -0.052
-        2  0.52839  -0.061  1.000  0.228  0.271  0.509
-        3  0.54059   0.137  0.228  1.000 -0.190  0.407
-        4  0.49556  -0.176  0.271 -0.190  1.000  0.311
-        5  0.64950  -0.052  0.509  0.407  0.311  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM HESSE     STATUS=OK             31 CALLS         252 TOTAL
-                     EDM=1.13732e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54743e+02   3.23491e-01   3.47135e-05   2.82090e-01
-   2  sg_p1        1.78036e+01   2.93564e-01   5.95236e-05  -3.52489e-01
-   3  sg_p2        5.29749e+02   7.04856e+00   2.46970e-04   2.76712e+00
-   4  sg_p3        8.01422e+01   7.18360e+00   6.13332e-04   5.92835e-01
-   5  sg_p4        9.16151e-01   8.67262e-03   4.40487e-04   9.83249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.046e-01 -6.090e-03  3.230e-01 -4.265e-01 -1.522e-04 
- -6.090e-03  8.619e-02  4.539e-01  5.786e-01  1.296e-03 
-  3.230e-01  4.539e-01  4.979e+01 -1.084e+01  2.423e-02 
- -4.265e-01  5.786e-01 -1.084e+01  5.225e+01  1.948e-02 
- -1.522e-04  1.296e-03  2.423e-02  1.948e-02  7.524e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22000   1.000 -0.064  0.142 -0.182 -0.054
-        2  0.52841  -0.064  1.000  0.219  0.273  0.509
-        3  0.54519   0.142  0.219  1.000 -0.213  0.396
-        4  0.50912  -0.182  0.273 -0.213  1.000  0.311
-        5  0.64862  -0.054  0.509  0.396  0.311  1.000
-550
-554.743 +- 0.323491
-17.8036 +- 0.293564
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20158.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.85494e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.04709e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.75210e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.33590e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.81352e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=7.37276e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54870e+02   3.11615e-01   8.46985e-04  -5.92156e-02
-   2  sg_p1        1.73495e+01   2.85260e-01   1.47111e-03   7.67177e-02
-   3  sg_p2        5.24331e+02   6.05754e+00   5.28257e-03   4.53885e-03
-   4  sg_p3        7.34136e+01   5.53118e+00   1.12466e-02  -1.10576e-02
-   5  sg_p4        9.15605e-01   8.65240e-03   2.17248e-03  -7.85532e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.711e-02 -7.947e-03  1.826e-01 -3.420e-01 -2.412e-04 
- -7.947e-03  8.138e-02  5.038e-01  4.162e-01  1.294e-03 
-  1.826e-01  5.038e-01  3.675e+01 -2.414e+00  2.461e-02 
- -3.420e-01  4.162e-01 -2.414e+00  3.078e+01  1.542e-02 
- -2.412e-04  1.294e-03  2.461e-02  1.542e-02  7.489e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23325   1.000 -0.089  0.097 -0.198 -0.089
-        2  0.54079  -0.089  1.000  0.291  0.263  0.524
-        3  0.54052   0.097  0.291  1.000 -0.072  0.469
-        4  0.44504  -0.198  0.263 -0.072  1.000  0.321
-        5  0.66858  -0.089  0.524  0.469  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM HESSE     STATUS=OK             31 CALLS         233 TOTAL
-                     EDM=7.38816e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54870e+02   3.11900e-01   1.69397e-04   2.85889e-01
-   2  sg_p1        1.73495e+01   2.85061e-01   2.94222e-04  -3.81980e-01
-   3  sg_p2        5.24331e+02   6.05810e+00   2.11303e-04   2.82772e+00
-   4  sg_p3        7.34136e+01   5.55334e+00   4.49864e-04   4.21567e-01
-   5  sg_p4        9.15605e-01   8.63836e-03   4.34496e-04   9.81281e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.728e-02 -8.106e-03  1.896e-01 -3.508e-01 -2.439e-04 
- -8.106e-03  8.127e-02  4.931e-01  4.161e-01  1.289e-03 
-  1.896e-01  4.931e-01  3.676e+01 -2.963e+00  2.422e-02 
- -3.508e-01  4.161e-01 -2.963e+00  3.103e+01  1.537e-02 
- -2.439e-04  1.289e-03  2.422e-02  1.537e-02  7.465e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23692   1.000 -0.091  0.100 -0.202 -0.091
-        2  0.53988  -0.091  1.000  0.285  0.262  0.523
-        3  0.54066   0.100  0.285  1.000 -0.088  0.462
-        4  0.45196  -0.202  0.262 -0.088  1.000  0.319
-        5  0.66723  -0.091  0.523  0.462  0.319  1.000
-550
-554.87 +- 0.3119
-17.3495 +- 0.285061
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18671.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.70584e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.36049e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.63312e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.13435e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.66463e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM MIGRAD    STATUS=CONVERGED     203 CALLS         204 TOTAL
-                     EDM=1.02695e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54811e+02   3.29767e-01   8.63223e-04  -1.93001e-01
-   2  sg_p1        1.76648e+01   3.03153e-01   1.48879e-03   3.74125e-02
-   3  sg_p2        5.25130e+02   6.59118e+00   5.51974e-03  -1.87163e-03
-   4  sg_p3        7.53402e+01   6.16780e+00   1.22242e-02  -1.30639e-02
-   5  sg_p4        9.15918e-01   9.07192e-03   2.19004e-03  -5.75224e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.088e-01 -8.558e-03  2.332e-01 -4.008e-01 -2.433e-04 
- -8.558e-03  9.191e-02  5.712e-01  5.058e-01  1.454e-03 
-  2.332e-01  5.712e-01  4.352e+01 -3.716e+00  2.786e-02 
- -4.008e-01  5.058e-01 -3.716e+00  3.834e+01  1.804e-02 
- -2.433e-04  1.454e-03  2.786e-02  1.804e-02  8.233e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23278   1.000 -0.086  0.107 -0.196 -0.081
-        2  0.54570  -0.086  1.000  0.286  0.269  0.529
-        3  0.54594   0.107  0.286  1.000 -0.091  0.465
-        4  0.45689  -0.196  0.269 -0.091  1.000  0.321
-        5  0.67171  -0.081  0.529  0.465  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM HESSE     STATUS=OK             31 CALLS         235 TOTAL
-                     EDM=1.02452e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54811e+02   3.30104e-01   1.72645e-04   2.84116e-01
-   2  sg_p1        1.76648e+01   3.03000e-01   5.95517e-05  -3.61468e-01
-   3  sg_p2        5.25130e+02   6.59509e+00   2.20790e-04   2.81886e+00
-   4  sg_p3        7.53402e+01   6.19835e+00   4.88968e-04   4.69011e-01
-   5  sg_p4        9.15918e-01   9.05834e-03   4.38009e-04   9.82408e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e-01 -8.764e-03  2.421e-01 -4.127e-01 -2.470e-04 
- -8.764e-03  9.182e-02  5.581e-01  5.069e-01  1.449e-03 
-  2.421e-01  5.581e-01  4.357e+01 -4.454e+00  2.739e-02 
- -4.127e-01  5.069e-01 -4.454e+00  3.873e+01  1.802e-02 
- -2.470e-04  1.449e-03  2.739e-02  1.802e-02  8.208e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23689   1.000 -0.088  0.111 -0.201 -0.083
-        2  0.54504  -0.088  1.000  0.279  0.269  0.528
-        3  0.54671   0.111  0.279  1.000 -0.108  0.458
-        4  0.46512  -0.201  0.269 -0.108  1.000  0.320
-        5  0.67048  -0.083  0.528  0.458  0.320  1.000
-550
-554.811 +- 0.330104
-17.6648 +- 0.303
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21296.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.94576e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.08481e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.85706e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.76455e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.89298e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=3.34483e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54825e+02   3.08932e-01   8.64414e-04  -3.40457e-01
-   2  sg_p1        1.76653e+01   2.83564e-01   1.49117e-03  -1.87292e-01
-   3  sg_p2        5.24710e+02   6.23394e+00   5.56281e-03  -3.21417e-03
-   4  sg_p3        7.62214e+01   5.87300e+00   1.25436e-02  -2.96877e-02
-   5  sg_p4        9.14864e-01   8.46661e-03   2.18261e-03   1.16509e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.544e-02 -7.404e-03  2.048e-01 -3.550e-01 -2.065e-04 
- -7.404e-03  8.042e-02  5.052e-01  4.449e-01  1.260e-03 
-  2.048e-01  5.052e-01  3.892e+01 -3.380e+00  2.466e-02 
- -3.550e-01  4.449e-01 -3.380e+00  3.475e+01  1.555e-02 
- -2.065e-04  1.260e-03  2.466e-02  1.555e-02  7.171e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23094   1.000 -0.085  0.106 -0.195 -0.079
-        2  0.54280  -0.085  1.000  0.286  0.266  0.525
-        3  0.54506   0.106  0.286  1.000 -0.092  0.467
-        4  0.44944  -0.195  0.266 -0.092  1.000  0.312
-        5  0.66734  -0.079  0.525  0.467  0.312  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM HESSE     STATUS=OK             31 CALLS         240 TOTAL
-                     EDM=3.3454e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54825e+02   3.09247e-01   1.72883e-04   2.84530e-01
-   2  sg_p1        1.76653e+01   2.83385e-01   2.98233e-04  -3.61435e-01
-   3  sg_p2        5.24710e+02   6.23786e+00   2.22512e-04   2.82352e+00
-   4  sg_p3        7.62214e+01   5.90192e+00   5.01743e-04   4.91089e-01
-   5  sg_p4        9.14864e-01   8.45305e-03   4.36523e-04   9.78619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.564e-02 -7.578e-03  2.127e-01 -3.656e-01 -2.095e-04 
- -7.578e-03  8.032e-02  4.934e-01  4.455e-01  1.255e-03 
-  2.127e-01  4.934e-01  3.897e+01 -4.053e+00  2.424e-02 
- -3.656e-01  4.455e-01 -4.053e+00  3.509e+01  1.551e-02 
- -2.095e-04  1.255e-03  2.424e-02  1.551e-02  7.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23507   1.000 -0.086  0.110 -0.200 -0.080
-        2  0.54198  -0.086  1.000  0.279  0.265  0.524
-        3  0.54588   0.110  0.279  1.000 -0.110  0.459
-        4  0.45781  -0.200  0.265 -0.110  1.000  0.310
-        5  0.66600  -0.080  0.524  0.459  0.310  1.000
-550
-554.825 +- 0.309247
-17.6653 +- 0.283385
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 25 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 34 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 38 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 39 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 40 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 47 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 112 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 114 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 554.818 +- 0.319404 (stat) - 0.949548 + 0.990665 (syst); -0.962884/+1.00345 (total)
-   Uncertainty on sg_p1 = 17.6653 +- 0.293042 (stat) - 0.37879 + 0.13828 (syst); -0.406141/+0.201469 (total)
-   Uncertainty on sg_p2 = 524.916 +- 6.41299 (stat) - 0.585115 + 4.83374 (syst); -3.25944/+5.80057 (total)
-   Uncertainty on sg_p3 = 75.7816 +- 6.04287 (stat) - 2.36797 + 4.36061 (syst); -3.8388/+5.30509 (total)
-   Uncertainty on sg_p4 = 0.915383 +- 0.00875334 (stat) - 0.00657606 + 0.00215055 (syst); -0.00789935/+0.00487649 (total) 
-   === Baseline plot === </br>
-   norm = 1470.79
-JEC     lnN   1.0002  -
-JER     lnN   1.01675  -
-btag    lnN   1.06585  -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt
deleted file mode 100644
index c3b4ca6..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1712.99 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06714    -
-JER       lnN     1.01626   - 
-JEC       lnN     1.00275   -
-trigger   lnN     1.10    -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_crystal_1_285_624/signal600_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_crystal_1_285_624/signal600_sig.log
deleted file mode 100644
index 3215894..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_crystal_1_285_624/signal600_sig.log
+++ /dev/null
@@ -1,843 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24280 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.58677e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.18368e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.42384e+03
-   4  sg_p3        4.21820e+01   1.20000e+01  -4.82092e-01  -6.03718e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   7.69925e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM MIGRAD    STATUS=CONVERGED     442 CALLS         443 TOTAL
-                     EDM=3.37608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.88137e+02   2.17401e+00   1.57187e-03   5.45097e-02
-   2  sg_p1        2.90958e+01   6.86009e-01   3.13675e-03   7.79119e-02
-   3  sg_p2        5.59880e+02   5.00457e+00   1.98829e-03  -7.62283e-02
-   4  sg_p3        3.62716e+01   3.18321e+00   2.14823e-03   9.85100e-02
-   5  sg_p4        7.00002e-01   2.12576e-01   1.12952e-01   2.90847e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.731e+00 -1.030e+00 -9.979e+00 -6.388e+00 -2.483e-04 
- -1.030e+00  4.709e-01  2.213e+00  1.252e+00  1.258e-04 
- -9.979e+00  2.213e+00  2.508e+01  1.471e+01 -7.877e-04 
- -6.388e+00  1.252e+00  1.471e+01  1.015e+01  1.142e-06 
- -2.483e-04  1.258e-04 -7.877e-04  1.142e-06  1.239e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95782   1.000 -0.690 -0.916 -0.922 -0.103
-        2  0.73673  -0.690  1.000  0.644  0.573  0.165
-        3  0.96060  -0.916  0.644  1.000  0.922 -0.141
-        4  0.94775  -0.922  0.573  0.922  1.000  0.000
-        5  0.62405  -0.103  0.165 -0.141  0.000  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM HESSE     STATUS=OK             35 CALLS         478 TOTAL
-                     EDM=0.000121989    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.88137e+02   3.29842e+00   3.14373e-04  -3.84102e-01
-   2  sg_p1        2.90958e+01   1.12225e+00   1.25470e-04   3.45999e-01
-   3  sg_p2        5.59880e+02   4.99521e+00   3.97658e-04  -2.02989e-01
-   4  sg_p3        3.62716e+01   3.76792e+00   8.59293e-05  -5.96971e-01
-   5  sg_p4        7.00002e-01   2.43034e-01   4.60846e-01  -1.56553e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e+01 -3.238e+00 -9.781e+00 -1.140e+01 -3.564e-03 
- -3.238e+00  1.262e+00  2.139e+00  3.042e+00  1.285e-03 
- -9.781e+00  2.139e+00  2.499e+01  1.455e+01 -2.935e-04 
- -1.140e+01  3.042e+00  1.455e+01  1.422e+01  2.841e-03 
- -3.564e-03  1.285e-03 -2.935e-04  2.841e-03  2.063e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.98192   1.000 -0.873 -0.593 -0.915 -0.752
-        2  0.91068  -0.873  1.000  0.381  0.718  0.797
-        3  0.96045  -0.593  0.381  1.000  0.772 -0.041
-        4  0.96302  -0.915  0.718  0.772  1.000  0.524
-        5  0.96908  -0.752  0.797 -0.041  0.524  1.000
-600
-588.137 +- 3.29842
-29.0958 +- 1.12225
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23767.1 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.17349e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.02365e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.16298e+03
-   4  sg_p3        4.39845e+01   1.20000e+01  -4.48474e-01   4.93391e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   6.61691e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=4.72305e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92012e+02   1.51134e+00   1.46358e-03   1.14647e-01
-   2  sg_p1        2.81327e+01   6.59039e-01   2.96171e-03  -1.30179e-01
-   3  sg_p2        5.58427e+02   3.47970e+00   1.93226e-03   6.71315e-02
-   4  sg_p3        3.58696e+01   2.45943e+00   2.12007e-03   3.27001e-02
-   5  sg_p4        7.00002e-01   6.59449e-02   8.47138e-02   5.69759e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.285e+00 -7.049e-01 -4.524e+00 -3.253e+00 -8.515e-05 
- -7.049e-01  4.346e-01  1.539e+00  9.868e-01  4.573e-05 
- -4.524e+00  1.539e+00  1.212e+01  7.552e+00 -3.909e-04 
- -3.253e+00  9.868e-01  7.552e+00  6.054e+00 -5.215e-05 
- -8.515e-05  4.573e-05 -3.909e-04 -5.215e-05  5.765e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91672   1.000 -0.707 -0.860 -0.875 -0.074
-        2  0.73205  -0.707  1.000  0.671  0.608  0.091
-        3  0.92123  -0.860  0.671  1.000  0.882 -0.148
-        4  0.91302  -0.875  0.608  0.882  1.000 -0.028
-        5  0.44297  -0.074  0.091 -0.148 -0.028  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM HESSE     STATUS=OK             37 CALLS         367 TOTAL
-                     EDM=3.83352e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92012e+02   1.96656e+00   2.92716e-04  -2.92785e-01
-   2  sg_p1        2.81327e+01   8.71252e-01   5.92343e-04   2.84598e-01
-   3  sg_p2        5.58427e+02   3.77659e+00   3.86452e-04  -2.22807e-01
-   4  sg_p3        3.58696e+01   2.54070e+00   8.48026e-05  -6.05095e-01
-   5  sg_p4        7.00002e-01   1.87580e-01   5.00000e-01  -1.56561e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.870e+00 -1.423e+00 -2.748e+00 -4.031e+00 -1.028e-03 
- -1.423e+00  7.598e-01  7.297e-01  1.337e+00  4.676e-04 
- -2.748e+00  7.297e-01  1.428e+01  6.747e+00 -1.238e-03 
- -4.031e+00  1.337e+00  6.747e+00  6.461e+00  4.747e-04 
- -1.028e-03  4.676e-04 -1.238e-03  4.747e-04  6.718e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95171   1.000 -0.830 -0.370 -0.806 -0.637
-        2  0.85706  -0.830  1.000  0.222  0.604  0.654
-        3  0.93356  -0.370  0.222  1.000  0.703 -0.400
-        4  0.91874  -0.806  0.604  0.703  1.000  0.228
-        5  0.94267  -0.637  0.654 -0.400  0.228  1.000
-600
-592.012 +- 1.96656
-28.1327 +- 0.871252
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24394 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.94278e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.29909e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.67228e+03
-   4  sg_p3        4.09440e+01   1.20000e+01  -5.05526e-01  -7.57306e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   8.58548e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM MIGRAD    STATUS=CONVERGED     638 CALLS         639 TOTAL
-                     EDM=8.42969e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.78603e+02   5.64911e-01   1.40473e-03   3.72907e-01
-   2  sg_p1        3.20881e+01   4.06669e-01   2.67756e-03   1.44036e-01
-   3  sg_p2        5.00002e+02   1.10618e+02   1.52750e-01  -2.88106e-03
-   4  sg_p3        6.94039e+01   2.89324e+01   3.44374e-02  -1.04731e-02
-   5  sg_p4        9.76772e-01   7.03168e-03   5.92623e-03  -8.42769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.191e-01 -1.408e-02  3.587e-02 -7.029e+00  1.364e-04 
- -1.408e-02  1.654e-01 -3.289e-02 -2.769e+00  1.295e-03 
-  3.587e-02 -3.289e-02  6.513e-01 -1.947e+00 -1.609e-03 
- -7.029e+00 -2.769e+00 -1.947e+00  9.115e+02 -1.280e-01 
-  1.364e-04  1.295e-03 -1.609e-03 -1.280e-01  4.957e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49930   1.000 -0.061  0.079 -0.412  0.034
-        2  0.46165  -0.061  1.000 -0.100 -0.225  0.452
-        3  0.43169   0.079 -0.100  1.000 -0.080 -0.283
-        4  0.75355  -0.412 -0.225 -0.080  1.000 -0.602
-        5  0.76469   0.034  0.452 -0.283 -0.602  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM HESSE     STATUS=OK             35 CALLS         674 TOTAL
-                     EDM=8.36581e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.78603e+02   5.65787e-01   2.80946e-04  -6.26852e-01
-   2  sg_p1        3.20881e+01   4.25746e-01   5.35511e-04   5.47427e-01
-   3  sg_p2        5.00002e+02   9.83339e+01   5.00000e-01  -1.57791e+00
-   4  sg_p3        6.94039e+01   2.99669e+01   6.88747e-03  -9.93577e-03
-   5  sg_p4        9.76772e-01   9.53722e-03   1.18525e-03   1.00684e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.201e-01 -1.400e-02  1.487e-02 -7.254e+00  1.740e-04 
- -1.400e-02  1.813e-01 -8.069e-02 -3.550e+00  2.110e-03 
-  1.487e-02 -8.069e-02  3.935e-01  2.133e+00 -4.095e-03 
- -7.254e+00 -3.550e+00  2.133e+00  9.846e+02 -1.706e-01 
-  1.740e-04  2.110e-03 -4.095e-03 -1.706e-01  9.139e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50162   1.000 -0.058  0.042 -0.409  0.032
-        2  0.53111  -0.058  1.000 -0.302 -0.266  0.518
-        3  0.77391   0.042 -0.302  1.000  0.108 -0.683
-        4  0.77455  -0.409 -0.266  0.108  1.000 -0.569
-        5  0.88021   0.032  0.518 -0.683 -0.569  1.000
-600
-578.603 +- 0.565787
-32.0881 +- 0.425746
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21188 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10915e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.89680e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.48216e+02
-   4  sg_p3        5.20622e+01   1.20000e+01  -3.03606e-01   1.51172e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.90966e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM MIGRAD    STATUS=CONVERGED     266 CALLS         267 TOTAL
-                     EDM=3.97173e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06507e+02   4.54842e-01   7.93051e-04   2.28694e-01
-   2  sg_p1        1.74848e+01   6.42892e-01   1.87527e-03  -5.26219e-03
-   3  sg_p2        5.99858e+02   1.64781e+00   1.84882e-03   3.91300e-02
-   4  sg_p3        3.51205e+01   2.40944e+00   1.97487e-03  -2.11296e-02
-   5  sg_p4        7.69875e-01   4.95303e-02   1.12811e-02   5.41517e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.069e-01 -1.274e-01 -9.667e-02 -5.293e-01 -1.089e-02 
- -1.274e-01  4.136e-01 -4.310e-01  1.196e+00  2.909e-02 
- -9.667e-02 -4.310e-01  2.716e+00 -1.523e+00 -3.888e-02 
- -5.293e-01  1.196e+00 -1.523e+00  5.810e+00  1.117e-01 
- -1.089e-02  2.909e-02 -3.888e-02  1.117e-01  2.589e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62100   1.000 -0.435 -0.129 -0.483 -0.470
-        2  0.89410  -0.435  1.000 -0.407  0.772  0.889
-        3  0.60904  -0.129 -0.407  1.000 -0.383 -0.464
-        4  0.91664  -0.483  0.772 -0.383  1.000  0.910
-        5  0.95959  -0.470  0.889 -0.464  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM HESSE     STATUS=OK             31 CALLS         298 TOTAL
-                     EDM=3.94319e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06507e+02   4.49294e-01   1.58610e-04   3.34861e-02
-   2  sg_p1        1.74848e+01   6.23965e-01   7.50107e-05  -3.73160e-01
-   3  sg_p2        5.99858e+02   1.64758e+00   3.69764e-04   3.37830e-01
-   4  sg_p3        3.51205e+01   2.33871e+00   7.89949e-05  -6.20356e-01
-   5  sg_p4        7.69875e-01   4.80150e-02   4.51245e-04  -5.63520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.019e-01 -1.162e-01 -1.057e-01 -4.868e-01 -9.943e-03 
- -1.162e-01  3.895e-01 -4.147e-01  1.106e+00  2.709e-02 
- -1.057e-01 -4.147e-01  2.715e+00 -1.465e+00 -3.762e-02 
- -4.868e-01  1.106e+00 -1.465e+00  5.474e+00  1.042e-01 
- -9.943e-03  2.709e-02 -3.762e-02  1.042e-01  2.425e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60859   1.000 -0.414 -0.143 -0.463 -0.449
-        2  0.88716  -0.414  1.000 -0.403  0.757  0.881
-        3  0.60890  -0.143 -0.403  1.000 -0.380 -0.464
-        4  0.91127  -0.463  0.757 -0.380  1.000  0.905
-        5  0.95679  -0.449  0.881 -0.464  0.905  1.000
-600
-606.507 +- 0.449294
-17.4848 +- 0.623965
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20985 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -6.03053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.30191e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.66899e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.40682e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01  -1.90294e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM MIGRAD    STATUS=CONVERGED     278 CALLS         279 TOTAL
-                     EDM=1.57711e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07915e+02   5.09392e-01   8.36892e-04  -1.25909e-01
-   2  sg_p1        1.72285e+01   7.70692e-01   2.00532e-03  -9.85888e-02
-   3  sg_p2        6.00885e+02   1.55983e+00   1.61488e-03   1.97987e-02
-   4  sg_p3        3.39190e+01   2.23203e+00   1.72499e-03  -5.63339e-02
-   5  sg_p4        7.24773e-01   5.61261e-02   1.85033e-02   4.35514e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.965e-01 -2.282e-02 -6.210e-01 -1.671e-02 
- -1.965e-01  5.945e-01 -6.118e-01  1.389e+00  4.341e-02 
- -2.282e-02 -6.118e-01  2.433e+00 -1.664e+00 -5.404e-02 
- -6.210e-01  1.389e+00 -1.664e+00  4.986e+00  1.270e-01 
- -1.671e-02  4.341e-02 -5.404e-02  1.270e-01  3.808e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.67158   1.000 -0.500 -0.029 -0.546 -0.531
-        2  0.91709  -0.500  1.000 -0.509  0.807  0.912
-        3  0.68224  -0.029 -0.509  1.000 -0.478 -0.561
-        4  0.92836  -0.546  0.807 -0.478  1.000  0.922
-        5  0.96819  -0.531  0.912 -0.561  0.922  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM HESSE     STATUS=OK             31 CALLS         310 TOTAL
-                     EDM=1.26117e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07915e+02   4.85233e-01   1.67378e-04   6.48251e-02
-   2  sg_p1        1.72285e+01   6.67550e-01   4.01065e-04  -3.89892e-01
-   3  sg_p2        6.00885e+02   1.49623e+00   3.22976e-04   3.52384e-01
-   4  sg_p3        3.39190e+01   1.92936e+00   6.89997e-05  -6.45190e-01
-   5  sg_p4        7.24773e-01   4.89776e-02   7.40132e-04  -9.87850e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.355e-01 -1.368e-01 -9.181e-02 -4.464e-01 -1.164e-02 
- -1.368e-01  4.459e-01 -4.412e-01  9.559e-01  3.085e-02 
- -9.181e-02 -4.412e-01  2.239e+00 -1.168e+00 -3.968e-02 
- -4.464e-01  9.559e-01 -1.168e+00  3.724e+00  9.043e-02 
- -1.164e-02  3.085e-02 -3.968e-02  9.043e-02  2.749e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62849   1.000 -0.422 -0.126 -0.477 -0.457
-        2  0.88775  -0.422  1.000 -0.442  0.742  0.881
-        3  0.64733  -0.126 -0.442  1.000 -0.405 -0.506
-        4  0.90281  -0.477  0.742 -0.405  1.000  0.894
-        5  0.95565  -0.457  0.881 -0.506  0.894  1.000
-600
-607.915 +- 0.485233
-17.2285 +- 0.66755
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21050.7 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -2.45953e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.88326e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.88080e+02
-   4  sg_p3        4.00581e+01   1.20000e+01   8.28277e-02  -3.70864e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79687e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM MIGRAD    STATUS=CONVERGED     330 CALLS         331 TOTAL
-                     EDM=4.39005e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05123e+02   4.29424e-01   7.69738e-04   2.63328e-01
-   2  sg_p1        1.74149e+01   6.34617e-01   1.82227e-03  -3.70681e-04
-   3  sg_p2        5.99738e+02   1.64211e+00   1.95138e-03   3.85233e-02
-   4  sg_p3        3.56367e+01   2.67089e+00   2.08773e-03   1.43347e-02
-   5  sg_p4        7.87200e-01   4.88787e-02   1.01395e-02   6.65902e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.844e-01 -1.102e-01 -1.471e-01 -5.033e-01 -9.306e-03 
- -1.102e-01  4.030e-01 -3.214e-01  1.334e+00  2.833e-02 
- -1.471e-01 -3.214e-01  2.697e+00 -1.302e+00 -2.911e-02 
- -5.033e-01  1.334e+00 -1.302e+00  7.141e+00  1.227e-01 
- -9.306e-03  2.833e-02 -2.911e-02  1.227e-01  2.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.58762   1.000 -0.404 -0.209 -0.439 -0.433
-        2  0.89717  -0.404  1.000 -0.308  0.786  0.893
-        3  0.53678  -0.209 -0.308  1.000 -0.297 -0.355
-        4  0.92270  -0.439  0.786 -0.297  1.000  0.918
-        5  0.96074  -0.433  0.893 -0.355  0.918  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM HESSE     STATUS=OK             31 CALLS         362 TOTAL
-                     EDM=4.37345e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.05123e+02   4.25719e-01   1.53948e-04   2.72521e-03
-   2  sg_p1        1.74149e+01   6.21639e-01   7.28909e-05  -3.77714e-01
-   3  sg_p2        5.99738e+02   1.64785e+00   3.90277e-04   3.36136e-01
-   4  sg_p3        3.56367e+01   2.61918e+00   8.35094e-05  -6.09822e-01
-   5  sg_p4        7.87200e-01   4.78840e-02   4.05579e-04  -4.31980e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.812e-01 -1.028e-01 -1.491e-01 -4.715e-01 -8.683e-03 
- -1.028e-01  3.866e-01 -3.221e-01  1.267e+00  2.701e-02 
- -1.491e-01 -3.221e-01  2.716e+00 -1.312e+00 -2.930e-02 
- -4.715e-01  1.267e+00 -1.312e+00  6.867e+00  1.173e-01 
- -8.683e-03  2.701e-02 -2.930e-02  1.173e-01  2.394e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.57780   1.000 -0.388 -0.212 -0.423 -0.417
-        2  0.89257  -0.388  1.000 -0.314  0.777  0.888
-        3  0.54137  -0.212 -0.314  1.000 -0.304 -0.363
-        4  0.91948  -0.423  0.777 -0.304  1.000  0.915
-        5  0.95897  -0.417  0.888 -0.363  0.915  1.000
-600
-605.123 +- 0.425719
-17.4149 +- 0.621639
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20832.1 FROM MIGRAD    STATUS=INITIATE       35 CALLS          36 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10122e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.39759e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.41911e+02
-   4  sg_p3        5.22092e+01   1.20000e+01  -3.01040e-01  -3.82741e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79614e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=2.70998e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06501e+02   4.51807e-01   7.97409e-04  -7.03207e-02
-   2  sg_p1        1.77334e+01   6.52405e-01   1.87706e-03  -1.65059e-02
-   3  sg_p2        5.99469e+02   1.79002e+00   1.94437e-03  -5.75168e-02
-   4  sg_p3        3.61659e+01   2.58390e+00   2.08852e-03   2.55527e-02
-   5  sg_p4        7.77016e-01   4.86366e-02   1.06632e-02  -1.67483e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.041e-01 -1.198e-01 -9.305e-02 -5.364e-01 -9.937e-03 
- -1.198e-01  4.259e-01 -5.231e-01  1.301e+00  2.891e-02 
- -9.305e-02 -5.231e-01  3.205e+00 -1.947e+00 -4.507e-02 
- -5.364e-01  1.301e+00 -1.947e+00  6.683e+00  1.171e-01 
- -9.937e-03  2.891e-02 -4.507e-02  1.171e-01  2.483e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60028   1.000 -0.406 -0.115 -0.459 -0.441
-        2  0.89400  -0.406  1.000 -0.448  0.771  0.889
-        3  0.63123  -0.115 -0.448  1.000 -0.421 -0.505
-        4  0.91499  -0.459  0.771 -0.421  1.000  0.909
-        5  0.95914  -0.441  0.889 -0.505  0.909  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=2.68748e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06501e+02   4.47624e-01   1.59482e-04   3.33576e-02
-   2  sg_p1        1.77334e+01   6.37778e-01   7.50826e-05  -3.57025e-01
-   3  sg_p2        5.99469e+02   1.79219e+00   3.88875e-04   3.32337e-01
-   4  sg_p3        3.61659e+01   2.52790e+00   8.35409e-05  -5.99103e-01
-   5  sg_p4        7.77016e-01   4.75332e-02   4.26528e-04  -5.08149e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.004e-01 -1.112e-01 -1.007e-01 -5.017e-01 -9.233e-03 
- -1.112e-01  4.070e-01 -5.109e-01  1.227e+00  2.742e-02 
- -1.007e-01 -5.109e-01  3.213e+00 -1.905e+00 -4.423e-02 
- -5.017e-01  1.227e+00 -1.905e+00  6.396e+00  1.113e-01 
- -9.233e-03  2.742e-02 -4.423e-02  1.113e-01  2.366e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.59019   1.000 -0.389 -0.126 -0.443 -0.424
-        2  0.88878  -0.389  1.000 -0.447  0.760  0.884
-        3  0.63238  -0.126 -0.447  1.000 -0.420 -0.507
-        4  0.91099  -0.443  0.760 -0.420  1.000  0.904
-        5  0.95708  -0.424  0.884 -0.507  0.904  1.000
-600
-606.501 +- 0.447624
-17.7334 +- 0.637778
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21392 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.65951e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.31252e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.10216e+02
-   4  sg_p3        4.66234e+01   1.20000e+01  -4.00208e-01  -5.49343e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.97937e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM MIGRAD    STATUS=CONVERGED     269 CALLS         270 TOTAL
-                     EDM=8.82705e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06547e+02   4.53645e-01   7.81411e-04  -3.17610e-01
-   2  sg_p1        1.71843e+01   6.39064e-01   1.86421e-03  -1.15499e-01
-   3  sg_p2        5.99736e+02   1.60177e+00   1.78744e-03  -2.73906e-01
-   4  sg_p3        3.43642e+01   2.28667e+00   1.90587e-03  -2.99641e-02
-   5  sg_p4        7.67062e-01   4.97568e-02   1.14541e-02   2.14855e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.058e-01 -1.334e-01 -7.609e-02 -5.233e-01 -1.147e-02 
- -1.334e-01  4.086e-01 -4.283e-01  1.132e+00  2.917e-02 
- -7.609e-02 -4.283e-01  2.566e+00 -1.449e+00 -3.913e-02 
- -5.233e-01  1.132e+00 -1.449e+00  5.233e+00  1.065e-01 
- -1.147e-02  2.917e-02 -3.913e-02  1.065e-01  2.619e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.63674   1.000 -0.460 -0.105 -0.504 -0.494
-        2  0.89676  -0.460  1.000 -0.418  0.774  0.892
-        3  0.61833  -0.105 -0.418  1.000 -0.395 -0.477
-        4  0.91625  -0.504  0.774 -0.395  1.000  0.910
-        5  0.96016  -0.494  0.892 -0.477  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM HESSE     STATUS=OK             31 CALLS         301 TOTAL
-                     EDM=8.5019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06547e+02   4.46977e-01   1.56282e-04   3.43777e-02
-   2  sg_p1        1.71843e+01   6.16688e-01   3.72843e-04  -3.92793e-01
-   3  sg_p2        5.99736e+02   1.59872e+00   3.57489e-04   3.36110e-01
-   4  sg_p3        3.43642e+01   2.20755e+00   7.62346e-05  -6.35935e-01
-   5  sg_p4        7.67062e-01   4.79510e-02   4.58166e-04  -5.85865e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.998e-01 -1.203e-01 -8.781e-02 -4.759e-01 -1.035e-02 
- -1.203e-01  3.805e-01 -4.057e-01  1.032e+00  2.680e-02 
- -8.781e-02 -4.057e-01  2.556e+00 -1.372e+00 -3.733e-02 
- -4.759e-01  1.032e+00 -1.372e+00  4.877e+00  9.814e-02 
- -1.035e-02  2.680e-02 -3.733e-02  9.814e-02  2.422e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62255   1.000 -0.436 -0.123 -0.482 -0.470
-        2  0.88865  -0.436  1.000 -0.411  0.757  0.883
-        3  0.61643  -0.123 -0.411  1.000 -0.389 -0.474
-        4  0.90983  -0.482  0.757 -0.389  1.000  0.903
-        5  0.95684  -0.470  0.883 -0.474  0.903  1.000
-600
-606.547 +- 0.446977
-17.1843 +- 0.616688
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19809.1 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -3.98661e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.36177e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.54710e+02
-   4  sg_p3        5.02879e+01   1.20000e+01  -3.34752e-01   5.32152e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.78206e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM MIGRAD    STATUS=CONVERGED     302 CALLS         303 TOTAL
-                     EDM=4.9436e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06510e+02   4.72659e-01   7.94140e-04   3.55653e-02
-   2  sg_p1        1.74543e+01   6.69157e-01   1.87997e-03   6.61865e-02
-   3  sg_p2        5.99840e+02   1.69608e+00   1.82702e-03  -5.88858e-02
-   4  sg_p3        3.49426e+01   2.46655e+00   1.95035e-03   5.14767e-02
-   5  sg_p4        7.67921e-01   5.16557e-02   1.14960e-02  -1.52477e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.234e-01 -1.390e-01 -9.895e-02 -5.678e-01 -1.194e-02 
- -1.390e-01  4.481e-01 -4.692e-01  1.277e+00  3.171e-02 
- -9.895e-02 -4.692e-01  2.877e+00 -1.630e+00 -4.248e-02 
- -5.678e-01  1.277e+00 -1.630e+00  6.089e+00  1.197e-01 
- -1.194e-02  3.171e-02 -4.248e-02  1.197e-01  2.834e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62474   1.000 -0.439 -0.123 -0.487 -0.474
-        2  0.89528  -0.439  1.000 -0.413  0.773  0.890
-        3  0.61443  -0.123 -0.413  1.000 -0.390 -0.470
-        4  0.91716  -0.487  0.773 -0.390  1.000  0.911
-        5  0.96008  -0.474  0.890 -0.470  0.911  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM HESSE     STATUS=OK             31 CALLS         334 TOTAL
-                     EDM=4.86529e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06510e+02   4.66252e-01   1.58828e-04   3.35643e-02
-   2  sg_p1        1.74543e+01   6.46362e-01   3.75994e-04  -3.75146e-01
-   3  sg_p2        5.99840e+02   1.69368e+00   3.65403e-04   3.37581e-01
-   4  sg_p3        3.49426e+01   2.38364e+00   7.80141e-05  -6.24005e-01
-   5  sg_p4        7.67921e-01   4.98421e-02   4.59842e-04  -5.79010e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.174e-01 -1.255e-01 -1.108e-01 -5.172e-01 -1.078e-02 
- -1.255e-01  4.180e-01 -4.460e-01  1.166e+00  2.921e-02 
- -1.108e-01 -4.460e-01  2.869e+00 -1.550e+00 -4.066e-02 
- -5.172e-01  1.166e+00 -1.550e+00  5.686e+00  1.105e-01 
- -1.078e-02  2.921e-02 -4.066e-02  1.105e-01  2.627e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61109   1.000 -0.416 -0.140 -0.465 -0.451
-        2  0.88728  -0.416  1.000 -0.407  0.756  0.881
-        3  0.61300  -0.140 -0.407  1.000 -0.384 -0.468
-        4  0.91100  -0.465  0.756 -0.384  1.000  0.904
-        5  0.95686  -0.451  0.881 -0.468  0.904  1.000
-600
-606.51 +- 0.466252
-17.4543 +- 0.646362
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22637.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.51042e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.38232e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.64920e+02
-   4  sg_p3        5.14784e+01   1.20000e+01  -3.13819e-01  -6.61183e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -2.02962e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM MIGRAD    STATUS=CONVERGED     257 CALLS         258 TOTAL
-                     EDM=0.000145317    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06503e+02   4.37713e-01   7.91387e-04   5.04043e-01
-   2  sg_p1        1.75196e+01   6.16845e-01   1.86865e-03   2.85731e-01
-   3  sg_p2        5.99868e+02   1.60326e+00   1.87702e-03   4.97177e-02
-   4  sg_p3        3.53013e+01   2.35156e+00   2.00555e-03  -3.27558e-01
-   5  sg_p4        7.72033e-01   4.73986e-02   1.10014e-02   3.49818e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.916e-01 -1.162e-01 -9.469e-02 -4.921e-01 -9.894e-03 
- -1.162e-01  3.807e-01 -3.958e-01  1.117e+00  2.658e-02 
- -9.469e-02 -3.958e-01  2.571e+00 -1.422e+00 -3.558e-02 
- -4.921e-01  1.117e+00 -1.422e+00  5.534e+00  1.039e-01 
- -9.894e-03  2.658e-02 -3.558e-02  1.039e-01  2.357e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61676   1.000 -0.430 -0.135 -0.478 -0.466
-        2  0.89248  -0.430  1.000 -0.400  0.769  0.887
-        3  0.60372  -0.135 -0.400  1.000 -0.377 -0.457
-        4  0.91576  -0.478  0.769 -0.377  1.000  0.910
-        5  0.95892  -0.466  0.887 -0.457  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM HESSE     STATUS=OK             31 CALLS         289 TOTAL
-                     EDM=0.000143345    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06503e+02   4.32589e-01   1.58277e-04   3.34012e-02
-   2  sg_p1        1.75196e+01   5.99409e-01   3.73730e-04  -3.70891e-01
-   3  sg_p2        5.99868e+02   1.60399e+00   3.75403e-04   3.37969e-01
-   4  sg_p3        3.53013e+01   2.28660e+00   4.01111e-04  -6.16657e-01
-   5  sg_p4        7.72033e-01   4.60130e-02   4.40057e-04  -5.46595e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.871e-01 -1.064e-01 -1.024e-01 -4.539e-01 -9.063e-03 
- -1.064e-01  3.595e-01 -3.824e-01  1.036e+00  2.483e-02 
- -1.024e-01 -3.824e-01  2.573e+00 -1.376e+00 -3.459e-02 
- -4.539e-01  1.036e+00 -1.376e+00  5.232e+00  9.734e-02 
- -9.063e-03  2.483e-02 -3.459e-02  9.734e-02  2.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60467   1.000 -0.410 -0.148 -0.459 -0.445
-        2  0.88572  -0.410  1.000 -0.398  0.756  0.880
-        3  0.60420  -0.148 -0.398  1.000 -0.375 -0.458
-        4  0.91066  -0.459  0.756 -0.375  1.000  0.904
-        5  0.95622  -0.445  0.880 -0.458  0.904  1.000
-600
-606.503 +- 0.432589
-17.5196 +- 0.599409
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 81 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 606.507 +- 0.449294 (stat) - 1.38396 + 1.4085 (syst); -1.40207/+1.4263 (total)
-   Uncertainty on sg_p1 = 17.4848 +- 0.623965 (stat) - 0.300472 + 0.248681 (syst); -0.433147/+0.398968 (total)
-   Uncertainty on sg_p2 = 599.858 +- 1.64758 (stat) - 0.389024 + 1.02722 (syst); -0.911028/+1.31674 (total)
-   Uncertainty on sg_p3 = 35.1205 +- 2.33871 (stat) - 1.20153 + 1.04536 (syst); -1.67663/+1.56849 (total)
-   Uncertainty on sg_p4 = 0.769875 +- 0.048015 (stat) - 0.0451018 + 0.0173244 (syst); -0.0510934/+0.0296057 (total) 
-   === Baseline plot === </br>
-   norm = 1712.99
-JEC     lnN   1.00275  -
-JER     lnN   1.01626  -
-btag    lnN   1.06714  -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt
deleted file mode 100644
index 49b85fb..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1712.99 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06714    -
-JER       lnN     1.01626   - 
-JEC       lnN     1.00275   -
-trigger   lnN     1.10    -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_novo_285_624/signal600_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_novo_285_624/signal600_sig.log
deleted file mode 100644
index 3215894..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_600_novo_285_624/signal600_sig.log
+++ /dev/null
@@ -1,843 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24280 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.58677e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.18368e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.42384e+03
-   4  sg_p3        4.21820e+01   1.20000e+01  -4.82092e-01  -6.03718e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   7.69925e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM MIGRAD    STATUS=CONVERGED     442 CALLS         443 TOTAL
-                     EDM=3.37608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.88137e+02   2.17401e+00   1.57187e-03   5.45097e-02
-   2  sg_p1        2.90958e+01   6.86009e-01   3.13675e-03   7.79119e-02
-   3  sg_p2        5.59880e+02   5.00457e+00   1.98829e-03  -7.62283e-02
-   4  sg_p3        3.62716e+01   3.18321e+00   2.14823e-03   9.85100e-02
-   5  sg_p4        7.00002e-01   2.12576e-01   1.12952e-01   2.90847e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.731e+00 -1.030e+00 -9.979e+00 -6.388e+00 -2.483e-04 
- -1.030e+00  4.709e-01  2.213e+00  1.252e+00  1.258e-04 
- -9.979e+00  2.213e+00  2.508e+01  1.471e+01 -7.877e-04 
- -6.388e+00  1.252e+00  1.471e+01  1.015e+01  1.142e-06 
- -2.483e-04  1.258e-04 -7.877e-04  1.142e-06  1.239e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95782   1.000 -0.690 -0.916 -0.922 -0.103
-        2  0.73673  -0.690  1.000  0.644  0.573  0.165
-        3  0.96060  -0.916  0.644  1.000  0.922 -0.141
-        4  0.94775  -0.922  0.573  0.922  1.000  0.000
-        5  0.62405  -0.103  0.165 -0.141  0.000  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM HESSE     STATUS=OK             35 CALLS         478 TOTAL
-                     EDM=0.000121989    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.88137e+02   3.29842e+00   3.14373e-04  -3.84102e-01
-   2  sg_p1        2.90958e+01   1.12225e+00   1.25470e-04   3.45999e-01
-   3  sg_p2        5.59880e+02   4.99521e+00   3.97658e-04  -2.02989e-01
-   4  sg_p3        3.62716e+01   3.76792e+00   8.59293e-05  -5.96971e-01
-   5  sg_p4        7.00002e-01   2.43034e-01   4.60846e-01  -1.56553e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e+01 -3.238e+00 -9.781e+00 -1.140e+01 -3.564e-03 
- -3.238e+00  1.262e+00  2.139e+00  3.042e+00  1.285e-03 
- -9.781e+00  2.139e+00  2.499e+01  1.455e+01 -2.935e-04 
- -1.140e+01  3.042e+00  1.455e+01  1.422e+01  2.841e-03 
- -3.564e-03  1.285e-03 -2.935e-04  2.841e-03  2.063e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.98192   1.000 -0.873 -0.593 -0.915 -0.752
-        2  0.91068  -0.873  1.000  0.381  0.718  0.797
-        3  0.96045  -0.593  0.381  1.000  0.772 -0.041
-        4  0.96302  -0.915  0.718  0.772  1.000  0.524
-        5  0.96908  -0.752  0.797 -0.041  0.524  1.000
-600
-588.137 +- 3.29842
-29.0958 +- 1.12225
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23767.1 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.17349e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.02365e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.16298e+03
-   4  sg_p3        4.39845e+01   1.20000e+01  -4.48474e-01   4.93391e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   6.61691e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=4.72305e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92012e+02   1.51134e+00   1.46358e-03   1.14647e-01
-   2  sg_p1        2.81327e+01   6.59039e-01   2.96171e-03  -1.30179e-01
-   3  sg_p2        5.58427e+02   3.47970e+00   1.93226e-03   6.71315e-02
-   4  sg_p3        3.58696e+01   2.45943e+00   2.12007e-03   3.27001e-02
-   5  sg_p4        7.00002e-01   6.59449e-02   8.47138e-02   5.69759e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.285e+00 -7.049e-01 -4.524e+00 -3.253e+00 -8.515e-05 
- -7.049e-01  4.346e-01  1.539e+00  9.868e-01  4.573e-05 
- -4.524e+00  1.539e+00  1.212e+01  7.552e+00 -3.909e-04 
- -3.253e+00  9.868e-01  7.552e+00  6.054e+00 -5.215e-05 
- -8.515e-05  4.573e-05 -3.909e-04 -5.215e-05  5.765e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91672   1.000 -0.707 -0.860 -0.875 -0.074
-        2  0.73205  -0.707  1.000  0.671  0.608  0.091
-        3  0.92123  -0.860  0.671  1.000  0.882 -0.148
-        4  0.91302  -0.875  0.608  0.882  1.000 -0.028
-        5  0.44297  -0.074  0.091 -0.148 -0.028  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM HESSE     STATUS=OK             37 CALLS         367 TOTAL
-                     EDM=3.83352e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92012e+02   1.96656e+00   2.92716e-04  -2.92785e-01
-   2  sg_p1        2.81327e+01   8.71252e-01   5.92343e-04   2.84598e-01
-   3  sg_p2        5.58427e+02   3.77659e+00   3.86452e-04  -2.22807e-01
-   4  sg_p3        3.58696e+01   2.54070e+00   8.48026e-05  -6.05095e-01
-   5  sg_p4        7.00002e-01   1.87580e-01   5.00000e-01  -1.56561e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.870e+00 -1.423e+00 -2.748e+00 -4.031e+00 -1.028e-03 
- -1.423e+00  7.598e-01  7.297e-01  1.337e+00  4.676e-04 
- -2.748e+00  7.297e-01  1.428e+01  6.747e+00 -1.238e-03 
- -4.031e+00  1.337e+00  6.747e+00  6.461e+00  4.747e-04 
- -1.028e-03  4.676e-04 -1.238e-03  4.747e-04  6.718e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95171   1.000 -0.830 -0.370 -0.806 -0.637
-        2  0.85706  -0.830  1.000  0.222  0.604  0.654
-        3  0.93356  -0.370  0.222  1.000  0.703 -0.400
-        4  0.91874  -0.806  0.604  0.703  1.000  0.228
-        5  0.94267  -0.637  0.654 -0.400  0.228  1.000
-600
-592.012 +- 1.96656
-28.1327 +- 0.871252
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24394 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.94278e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.29909e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.67228e+03
-   4  sg_p3        4.09440e+01   1.20000e+01  -5.05526e-01  -7.57306e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   8.58548e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM MIGRAD    STATUS=CONVERGED     638 CALLS         639 TOTAL
-                     EDM=8.42969e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.78603e+02   5.64911e-01   1.40473e-03   3.72907e-01
-   2  sg_p1        3.20881e+01   4.06669e-01   2.67756e-03   1.44036e-01
-   3  sg_p2        5.00002e+02   1.10618e+02   1.52750e-01  -2.88106e-03
-   4  sg_p3        6.94039e+01   2.89324e+01   3.44374e-02  -1.04731e-02
-   5  sg_p4        9.76772e-01   7.03168e-03   5.92623e-03  -8.42769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.191e-01 -1.408e-02  3.587e-02 -7.029e+00  1.364e-04 
- -1.408e-02  1.654e-01 -3.289e-02 -2.769e+00  1.295e-03 
-  3.587e-02 -3.289e-02  6.513e-01 -1.947e+00 -1.609e-03 
- -7.029e+00 -2.769e+00 -1.947e+00  9.115e+02 -1.280e-01 
-  1.364e-04  1.295e-03 -1.609e-03 -1.280e-01  4.957e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49930   1.000 -0.061  0.079 -0.412  0.034
-        2  0.46165  -0.061  1.000 -0.100 -0.225  0.452
-        3  0.43169   0.079 -0.100  1.000 -0.080 -0.283
-        4  0.75355  -0.412 -0.225 -0.080  1.000 -0.602
-        5  0.76469   0.034  0.452 -0.283 -0.602  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM HESSE     STATUS=OK             35 CALLS         674 TOTAL
-                     EDM=8.36581e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.78603e+02   5.65787e-01   2.80946e-04  -6.26852e-01
-   2  sg_p1        3.20881e+01   4.25746e-01   5.35511e-04   5.47427e-01
-   3  sg_p2        5.00002e+02   9.83339e+01   5.00000e-01  -1.57791e+00
-   4  sg_p3        6.94039e+01   2.99669e+01   6.88747e-03  -9.93577e-03
-   5  sg_p4        9.76772e-01   9.53722e-03   1.18525e-03   1.00684e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.201e-01 -1.400e-02  1.487e-02 -7.254e+00  1.740e-04 
- -1.400e-02  1.813e-01 -8.069e-02 -3.550e+00  2.110e-03 
-  1.487e-02 -8.069e-02  3.935e-01  2.133e+00 -4.095e-03 
- -7.254e+00 -3.550e+00  2.133e+00  9.846e+02 -1.706e-01 
-  1.740e-04  2.110e-03 -4.095e-03 -1.706e-01  9.139e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50162   1.000 -0.058  0.042 -0.409  0.032
-        2  0.53111  -0.058  1.000 -0.302 -0.266  0.518
-        3  0.77391   0.042 -0.302  1.000  0.108 -0.683
-        4  0.77455  -0.409 -0.266  0.108  1.000 -0.569
-        5  0.88021   0.032  0.518 -0.683 -0.569  1.000
-600
-578.603 +- 0.565787
-32.0881 +- 0.425746
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21188 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10915e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.89680e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.48216e+02
-   4  sg_p3        5.20622e+01   1.20000e+01  -3.03606e-01   1.51172e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.90966e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM MIGRAD    STATUS=CONVERGED     266 CALLS         267 TOTAL
-                     EDM=3.97173e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06507e+02   4.54842e-01   7.93051e-04   2.28694e-01
-   2  sg_p1        1.74848e+01   6.42892e-01   1.87527e-03  -5.26219e-03
-   3  sg_p2        5.99858e+02   1.64781e+00   1.84882e-03   3.91300e-02
-   4  sg_p3        3.51205e+01   2.40944e+00   1.97487e-03  -2.11296e-02
-   5  sg_p4        7.69875e-01   4.95303e-02   1.12811e-02   5.41517e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.069e-01 -1.274e-01 -9.667e-02 -5.293e-01 -1.089e-02 
- -1.274e-01  4.136e-01 -4.310e-01  1.196e+00  2.909e-02 
- -9.667e-02 -4.310e-01  2.716e+00 -1.523e+00 -3.888e-02 
- -5.293e-01  1.196e+00 -1.523e+00  5.810e+00  1.117e-01 
- -1.089e-02  2.909e-02 -3.888e-02  1.117e-01  2.589e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62100   1.000 -0.435 -0.129 -0.483 -0.470
-        2  0.89410  -0.435  1.000 -0.407  0.772  0.889
-        3  0.60904  -0.129 -0.407  1.000 -0.383 -0.464
-        4  0.91664  -0.483  0.772 -0.383  1.000  0.910
-        5  0.95959  -0.470  0.889 -0.464  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM HESSE     STATUS=OK             31 CALLS         298 TOTAL
-                     EDM=3.94319e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06507e+02   4.49294e-01   1.58610e-04   3.34861e-02
-   2  sg_p1        1.74848e+01   6.23965e-01   7.50107e-05  -3.73160e-01
-   3  sg_p2        5.99858e+02   1.64758e+00   3.69764e-04   3.37830e-01
-   4  sg_p3        3.51205e+01   2.33871e+00   7.89949e-05  -6.20356e-01
-   5  sg_p4        7.69875e-01   4.80150e-02   4.51245e-04  -5.63520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.019e-01 -1.162e-01 -1.057e-01 -4.868e-01 -9.943e-03 
- -1.162e-01  3.895e-01 -4.147e-01  1.106e+00  2.709e-02 
- -1.057e-01 -4.147e-01  2.715e+00 -1.465e+00 -3.762e-02 
- -4.868e-01  1.106e+00 -1.465e+00  5.474e+00  1.042e-01 
- -9.943e-03  2.709e-02 -3.762e-02  1.042e-01  2.425e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60859   1.000 -0.414 -0.143 -0.463 -0.449
-        2  0.88716  -0.414  1.000 -0.403  0.757  0.881
-        3  0.60890  -0.143 -0.403  1.000 -0.380 -0.464
-        4  0.91127  -0.463  0.757 -0.380  1.000  0.905
-        5  0.95679  -0.449  0.881 -0.464  0.905  1.000
-600
-606.507 +- 0.449294
-17.4848 +- 0.623965
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20985 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -6.03053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.30191e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.66899e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.40682e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01  -1.90294e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM MIGRAD    STATUS=CONVERGED     278 CALLS         279 TOTAL
-                     EDM=1.57711e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07915e+02   5.09392e-01   8.36892e-04  -1.25909e-01
-   2  sg_p1        1.72285e+01   7.70692e-01   2.00532e-03  -9.85888e-02
-   3  sg_p2        6.00885e+02   1.55983e+00   1.61488e-03   1.97987e-02
-   4  sg_p3        3.39190e+01   2.23203e+00   1.72499e-03  -5.63339e-02
-   5  sg_p4        7.24773e-01   5.61261e-02   1.85033e-02   4.35514e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.965e-01 -2.282e-02 -6.210e-01 -1.671e-02 
- -1.965e-01  5.945e-01 -6.118e-01  1.389e+00  4.341e-02 
- -2.282e-02 -6.118e-01  2.433e+00 -1.664e+00 -5.404e-02 
- -6.210e-01  1.389e+00 -1.664e+00  4.986e+00  1.270e-01 
- -1.671e-02  4.341e-02 -5.404e-02  1.270e-01  3.808e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.67158   1.000 -0.500 -0.029 -0.546 -0.531
-        2  0.91709  -0.500  1.000 -0.509  0.807  0.912
-        3  0.68224  -0.029 -0.509  1.000 -0.478 -0.561
-        4  0.92836  -0.546  0.807 -0.478  1.000  0.922
-        5  0.96819  -0.531  0.912 -0.561  0.922  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM HESSE     STATUS=OK             31 CALLS         310 TOTAL
-                     EDM=1.26117e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07915e+02   4.85233e-01   1.67378e-04   6.48251e-02
-   2  sg_p1        1.72285e+01   6.67550e-01   4.01065e-04  -3.89892e-01
-   3  sg_p2        6.00885e+02   1.49623e+00   3.22976e-04   3.52384e-01
-   4  sg_p3        3.39190e+01   1.92936e+00   6.89997e-05  -6.45190e-01
-   5  sg_p4        7.24773e-01   4.89776e-02   7.40132e-04  -9.87850e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.355e-01 -1.368e-01 -9.181e-02 -4.464e-01 -1.164e-02 
- -1.368e-01  4.459e-01 -4.412e-01  9.559e-01  3.085e-02 
- -9.181e-02 -4.412e-01  2.239e+00 -1.168e+00 -3.968e-02 
- -4.464e-01  9.559e-01 -1.168e+00  3.724e+00  9.043e-02 
- -1.164e-02  3.085e-02 -3.968e-02  9.043e-02  2.749e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62849   1.000 -0.422 -0.126 -0.477 -0.457
-        2  0.88775  -0.422  1.000 -0.442  0.742  0.881
-        3  0.64733  -0.126 -0.442  1.000 -0.405 -0.506
-        4  0.90281  -0.477  0.742 -0.405  1.000  0.894
-        5  0.95565  -0.457  0.881 -0.506  0.894  1.000
-600
-607.915 +- 0.485233
-17.2285 +- 0.66755
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21050.7 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -2.45953e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.88326e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.88080e+02
-   4  sg_p3        4.00581e+01   1.20000e+01   8.28277e-02  -3.70864e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79687e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM MIGRAD    STATUS=CONVERGED     330 CALLS         331 TOTAL
-                     EDM=4.39005e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05123e+02   4.29424e-01   7.69738e-04   2.63328e-01
-   2  sg_p1        1.74149e+01   6.34617e-01   1.82227e-03  -3.70681e-04
-   3  sg_p2        5.99738e+02   1.64211e+00   1.95138e-03   3.85233e-02
-   4  sg_p3        3.56367e+01   2.67089e+00   2.08773e-03   1.43347e-02
-   5  sg_p4        7.87200e-01   4.88787e-02   1.01395e-02   6.65902e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.844e-01 -1.102e-01 -1.471e-01 -5.033e-01 -9.306e-03 
- -1.102e-01  4.030e-01 -3.214e-01  1.334e+00  2.833e-02 
- -1.471e-01 -3.214e-01  2.697e+00 -1.302e+00 -2.911e-02 
- -5.033e-01  1.334e+00 -1.302e+00  7.141e+00  1.227e-01 
- -9.306e-03  2.833e-02 -2.911e-02  1.227e-01  2.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.58762   1.000 -0.404 -0.209 -0.439 -0.433
-        2  0.89717  -0.404  1.000 -0.308  0.786  0.893
-        3  0.53678  -0.209 -0.308  1.000 -0.297 -0.355
-        4  0.92270  -0.439  0.786 -0.297  1.000  0.918
-        5  0.96074  -0.433  0.893 -0.355  0.918  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM HESSE     STATUS=OK             31 CALLS         362 TOTAL
-                     EDM=4.37345e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.05123e+02   4.25719e-01   1.53948e-04   2.72521e-03
-   2  sg_p1        1.74149e+01   6.21639e-01   7.28909e-05  -3.77714e-01
-   3  sg_p2        5.99738e+02   1.64785e+00   3.90277e-04   3.36136e-01
-   4  sg_p3        3.56367e+01   2.61918e+00   8.35094e-05  -6.09822e-01
-   5  sg_p4        7.87200e-01   4.78840e-02   4.05579e-04  -4.31980e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.812e-01 -1.028e-01 -1.491e-01 -4.715e-01 -8.683e-03 
- -1.028e-01  3.866e-01 -3.221e-01  1.267e+00  2.701e-02 
- -1.491e-01 -3.221e-01  2.716e+00 -1.312e+00 -2.930e-02 
- -4.715e-01  1.267e+00 -1.312e+00  6.867e+00  1.173e-01 
- -8.683e-03  2.701e-02 -2.930e-02  1.173e-01  2.394e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.57780   1.000 -0.388 -0.212 -0.423 -0.417
-        2  0.89257  -0.388  1.000 -0.314  0.777  0.888
-        3  0.54137  -0.212 -0.314  1.000 -0.304 -0.363
-        4  0.91948  -0.423  0.777 -0.304  1.000  0.915
-        5  0.95897  -0.417  0.888 -0.363  0.915  1.000
-600
-605.123 +- 0.425719
-17.4149 +- 0.621639
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20832.1 FROM MIGRAD    STATUS=INITIATE       35 CALLS          36 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10122e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.39759e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.41911e+02
-   4  sg_p3        5.22092e+01   1.20000e+01  -3.01040e-01  -3.82741e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79614e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=2.70998e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06501e+02   4.51807e-01   7.97409e-04  -7.03207e-02
-   2  sg_p1        1.77334e+01   6.52405e-01   1.87706e-03  -1.65059e-02
-   3  sg_p2        5.99469e+02   1.79002e+00   1.94437e-03  -5.75168e-02
-   4  sg_p3        3.61659e+01   2.58390e+00   2.08852e-03   2.55527e-02
-   5  sg_p4        7.77016e-01   4.86366e-02   1.06632e-02  -1.67483e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.041e-01 -1.198e-01 -9.305e-02 -5.364e-01 -9.937e-03 
- -1.198e-01  4.259e-01 -5.231e-01  1.301e+00  2.891e-02 
- -9.305e-02 -5.231e-01  3.205e+00 -1.947e+00 -4.507e-02 
- -5.364e-01  1.301e+00 -1.947e+00  6.683e+00  1.171e-01 
- -9.937e-03  2.891e-02 -4.507e-02  1.171e-01  2.483e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60028   1.000 -0.406 -0.115 -0.459 -0.441
-        2  0.89400  -0.406  1.000 -0.448  0.771  0.889
-        3  0.63123  -0.115 -0.448  1.000 -0.421 -0.505
-        4  0.91499  -0.459  0.771 -0.421  1.000  0.909
-        5  0.95914  -0.441  0.889 -0.505  0.909  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=2.68748e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06501e+02   4.47624e-01   1.59482e-04   3.33576e-02
-   2  sg_p1        1.77334e+01   6.37778e-01   7.50826e-05  -3.57025e-01
-   3  sg_p2        5.99469e+02   1.79219e+00   3.88875e-04   3.32337e-01
-   4  sg_p3        3.61659e+01   2.52790e+00   8.35409e-05  -5.99103e-01
-   5  sg_p4        7.77016e-01   4.75332e-02   4.26528e-04  -5.08149e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.004e-01 -1.112e-01 -1.007e-01 -5.017e-01 -9.233e-03 
- -1.112e-01  4.070e-01 -5.109e-01  1.227e+00  2.742e-02 
- -1.007e-01 -5.109e-01  3.213e+00 -1.905e+00 -4.423e-02 
- -5.017e-01  1.227e+00 -1.905e+00  6.396e+00  1.113e-01 
- -9.233e-03  2.742e-02 -4.423e-02  1.113e-01  2.366e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.59019   1.000 -0.389 -0.126 -0.443 -0.424
-        2  0.88878  -0.389  1.000 -0.447  0.760  0.884
-        3  0.63238  -0.126 -0.447  1.000 -0.420 -0.507
-        4  0.91099  -0.443  0.760 -0.420  1.000  0.904
-        5  0.95708  -0.424  0.884 -0.507  0.904  1.000
-600
-606.501 +- 0.447624
-17.7334 +- 0.637778
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21392 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.65951e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.31252e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.10216e+02
-   4  sg_p3        4.66234e+01   1.20000e+01  -4.00208e-01  -5.49343e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.97937e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM MIGRAD    STATUS=CONVERGED     269 CALLS         270 TOTAL
-                     EDM=8.82705e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06547e+02   4.53645e-01   7.81411e-04  -3.17610e-01
-   2  sg_p1        1.71843e+01   6.39064e-01   1.86421e-03  -1.15499e-01
-   3  sg_p2        5.99736e+02   1.60177e+00   1.78744e-03  -2.73906e-01
-   4  sg_p3        3.43642e+01   2.28667e+00   1.90587e-03  -2.99641e-02
-   5  sg_p4        7.67062e-01   4.97568e-02   1.14541e-02   2.14855e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.058e-01 -1.334e-01 -7.609e-02 -5.233e-01 -1.147e-02 
- -1.334e-01  4.086e-01 -4.283e-01  1.132e+00  2.917e-02 
- -7.609e-02 -4.283e-01  2.566e+00 -1.449e+00 -3.913e-02 
- -5.233e-01  1.132e+00 -1.449e+00  5.233e+00  1.065e-01 
- -1.147e-02  2.917e-02 -3.913e-02  1.065e-01  2.619e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.63674   1.000 -0.460 -0.105 -0.504 -0.494
-        2  0.89676  -0.460  1.000 -0.418  0.774  0.892
-        3  0.61833  -0.105 -0.418  1.000 -0.395 -0.477
-        4  0.91625  -0.504  0.774 -0.395  1.000  0.910
-        5  0.96016  -0.494  0.892 -0.477  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM HESSE     STATUS=OK             31 CALLS         301 TOTAL
-                     EDM=8.5019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06547e+02   4.46977e-01   1.56282e-04   3.43777e-02
-   2  sg_p1        1.71843e+01   6.16688e-01   3.72843e-04  -3.92793e-01
-   3  sg_p2        5.99736e+02   1.59872e+00   3.57489e-04   3.36110e-01
-   4  sg_p3        3.43642e+01   2.20755e+00   7.62346e-05  -6.35935e-01
-   5  sg_p4        7.67062e-01   4.79510e-02   4.58166e-04  -5.85865e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.998e-01 -1.203e-01 -8.781e-02 -4.759e-01 -1.035e-02 
- -1.203e-01  3.805e-01 -4.057e-01  1.032e+00  2.680e-02 
- -8.781e-02 -4.057e-01  2.556e+00 -1.372e+00 -3.733e-02 
- -4.759e-01  1.032e+00 -1.372e+00  4.877e+00  9.814e-02 
- -1.035e-02  2.680e-02 -3.733e-02  9.814e-02  2.422e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62255   1.000 -0.436 -0.123 -0.482 -0.470
-        2  0.88865  -0.436  1.000 -0.411  0.757  0.883
-        3  0.61643  -0.123 -0.411  1.000 -0.389 -0.474
-        4  0.90983  -0.482  0.757 -0.389  1.000  0.903
-        5  0.95684  -0.470  0.883 -0.474  0.903  1.000
-600
-606.547 +- 0.446977
-17.1843 +- 0.616688
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19809.1 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -3.98661e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.36177e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.54710e+02
-   4  sg_p3        5.02879e+01   1.20000e+01  -3.34752e-01   5.32152e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.78206e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM MIGRAD    STATUS=CONVERGED     302 CALLS         303 TOTAL
-                     EDM=4.9436e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06510e+02   4.72659e-01   7.94140e-04   3.55653e-02
-   2  sg_p1        1.74543e+01   6.69157e-01   1.87997e-03   6.61865e-02
-   3  sg_p2        5.99840e+02   1.69608e+00   1.82702e-03  -5.88858e-02
-   4  sg_p3        3.49426e+01   2.46655e+00   1.95035e-03   5.14767e-02
-   5  sg_p4        7.67921e-01   5.16557e-02   1.14960e-02  -1.52477e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.234e-01 -1.390e-01 -9.895e-02 -5.678e-01 -1.194e-02 
- -1.390e-01  4.481e-01 -4.692e-01  1.277e+00  3.171e-02 
- -9.895e-02 -4.692e-01  2.877e+00 -1.630e+00 -4.248e-02 
- -5.678e-01  1.277e+00 -1.630e+00  6.089e+00  1.197e-01 
- -1.194e-02  3.171e-02 -4.248e-02  1.197e-01  2.834e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62474   1.000 -0.439 -0.123 -0.487 -0.474
-        2  0.89528  -0.439  1.000 -0.413  0.773  0.890
-        3  0.61443  -0.123 -0.413  1.000 -0.390 -0.470
-        4  0.91716  -0.487  0.773 -0.390  1.000  0.911
-        5  0.96008  -0.474  0.890 -0.470  0.911  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM HESSE     STATUS=OK             31 CALLS         334 TOTAL
-                     EDM=4.86529e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06510e+02   4.66252e-01   1.58828e-04   3.35643e-02
-   2  sg_p1        1.74543e+01   6.46362e-01   3.75994e-04  -3.75146e-01
-   3  sg_p2        5.99840e+02   1.69368e+00   3.65403e-04   3.37581e-01
-   4  sg_p3        3.49426e+01   2.38364e+00   7.80141e-05  -6.24005e-01
-   5  sg_p4        7.67921e-01   4.98421e-02   4.59842e-04  -5.79010e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.174e-01 -1.255e-01 -1.108e-01 -5.172e-01 -1.078e-02 
- -1.255e-01  4.180e-01 -4.460e-01  1.166e+00  2.921e-02 
- -1.108e-01 -4.460e-01  2.869e+00 -1.550e+00 -4.066e-02 
- -5.172e-01  1.166e+00 -1.550e+00  5.686e+00  1.105e-01 
- -1.078e-02  2.921e-02 -4.066e-02  1.105e-01  2.627e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61109   1.000 -0.416 -0.140 -0.465 -0.451
-        2  0.88728  -0.416  1.000 -0.407  0.756  0.881
-        3  0.61300  -0.140 -0.407  1.000 -0.384 -0.468
-        4  0.91100  -0.465  0.756 -0.384  1.000  0.904
-        5  0.95686  -0.451  0.881 -0.468  0.904  1.000
-600
-606.51 +- 0.466252
-17.4543 +- 0.646362
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22637.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.51042e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.38232e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.64920e+02
-   4  sg_p3        5.14784e+01   1.20000e+01  -3.13819e-01  -6.61183e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -2.02962e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM MIGRAD    STATUS=CONVERGED     257 CALLS         258 TOTAL
-                     EDM=0.000145317    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06503e+02   4.37713e-01   7.91387e-04   5.04043e-01
-   2  sg_p1        1.75196e+01   6.16845e-01   1.86865e-03   2.85731e-01
-   3  sg_p2        5.99868e+02   1.60326e+00   1.87702e-03   4.97177e-02
-   4  sg_p3        3.53013e+01   2.35156e+00   2.00555e-03  -3.27558e-01
-   5  sg_p4        7.72033e-01   4.73986e-02   1.10014e-02   3.49818e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.916e-01 -1.162e-01 -9.469e-02 -4.921e-01 -9.894e-03 
- -1.162e-01  3.807e-01 -3.958e-01  1.117e+00  2.658e-02 
- -9.469e-02 -3.958e-01  2.571e+00 -1.422e+00 -3.558e-02 
- -4.921e-01  1.117e+00 -1.422e+00  5.534e+00  1.039e-01 
- -9.894e-03  2.658e-02 -3.558e-02  1.039e-01  2.357e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61676   1.000 -0.430 -0.135 -0.478 -0.466
-        2  0.89248  -0.430  1.000 -0.400  0.769  0.887
-        3  0.60372  -0.135 -0.400  1.000 -0.377 -0.457
-        4  0.91576  -0.478  0.769 -0.377  1.000  0.910
-        5  0.95892  -0.466  0.887 -0.457  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM HESSE     STATUS=OK             31 CALLS         289 TOTAL
-                     EDM=0.000143345    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06503e+02   4.32589e-01   1.58277e-04   3.34012e-02
-   2  sg_p1        1.75196e+01   5.99409e-01   3.73730e-04  -3.70891e-01
-   3  sg_p2        5.99868e+02   1.60399e+00   3.75403e-04   3.37969e-01
-   4  sg_p3        3.53013e+01   2.28660e+00   4.01111e-04  -6.16657e-01
-   5  sg_p4        7.72033e-01   4.60130e-02   4.40057e-04  -5.46595e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.871e-01 -1.064e-01 -1.024e-01 -4.539e-01 -9.063e-03 
- -1.064e-01  3.595e-01 -3.824e-01  1.036e+00  2.483e-02 
- -1.024e-01 -3.824e-01  2.573e+00 -1.376e+00 -3.459e-02 
- -4.539e-01  1.036e+00 -1.376e+00  5.232e+00  9.734e-02 
- -9.063e-03  2.483e-02 -3.459e-02  9.734e-02  2.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60467   1.000 -0.410 -0.148 -0.459 -0.445
-        2  0.88572  -0.410  1.000 -0.398  0.756  0.880
-        3  0.60420  -0.148 -0.398  1.000 -0.375 -0.458
-        4  0.91066  -0.459  0.756 -0.375  1.000  0.904
-        5  0.95622  -0.445  0.880 -0.458  0.904  1.000
-600
-606.503 +- 0.432589
-17.5196 +- 0.599409
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 81 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 606.507 +- 0.449294 (stat) - 1.38396 + 1.4085 (syst); -1.40207/+1.4263 (total)
-   Uncertainty on sg_p1 = 17.4848 +- 0.623965 (stat) - 0.300472 + 0.248681 (syst); -0.433147/+0.398968 (total)
-   Uncertainty on sg_p2 = 599.858 +- 1.64758 (stat) - 0.389024 + 1.02722 (syst); -0.911028/+1.31674 (total)
-   Uncertainty on sg_p3 = 35.1205 +- 2.33871 (stat) - 1.20153 + 1.04536 (syst); -1.67663/+1.56849 (total)
-   Uncertainty on sg_p4 = 0.769875 +- 0.048015 (stat) - 0.0451018 + 0.0173244 (syst); -0.0510934/+0.0296057 (total) 
-   === Baseline plot === </br>
-   norm = 1712.99
-JEC     lnN   1.00275  -
-JER     lnN   1.01626  -
-btag    lnN   1.06714  -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt
deleted file mode 100644
index a16d92d..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1859.61 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06919    -
-JER       lnN     1.01327   - 
-JEC       lnN     1.0047   -
-trigger   lnN     1.10    -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_crystal_1_285_624/signal650_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_crystal_1_285_624/signal650_sig.log
deleted file mode 100644
index 1f5e75e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_crystal_1_285_624/signal650_sig.log
+++ /dev/null
@@ -1,883 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13508.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.87056e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.46321e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.56470e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.42658e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.11139e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM MIGRAD    STATUS=CONVERGED     597 CALLS         598 TOTAL
-                     EDM=4.72558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.31550e+02   1.07438e+00   1.68730e-03  -2.23582e-01
-   2  sg_p1        3.53137e+01   1.11870e+00   4.47963e-03   6.27366e-02
-   3  sg_p2        5.77635e+02   4.62466e+01   1.24400e-02   1.02159e-02
-   4  sg_p3        6.47572e+01   2.35273e+01   1.70525e-02  -3.15130e-03
-   5  sg_p4        9.66896e-01   3.39852e-02   6.34455e-03  -3.92355e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.155e+00 -4.604e-01 -1.111e+01  1.243e+01 -1.676e-02 
- -4.604e-01  1.255e+00  2.645e+01 -9.584e+00  2.747e-02 
- -1.111e+01  2.645e+01  2.484e+03  4.016e+02  1.548e+00 
-  1.243e+01 -9.584e+00  4.016e+02  5.848e+02 -3.604e-02 
- -1.676e-02  2.747e-02  1.548e+00 -3.604e-02  1.209e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66627   1.000 -0.382 -0.207  0.478 -0.449
-        2  0.79846  -0.382  1.000  0.474 -0.354  0.705
-        3  0.96990  -0.207  0.474  1.000  0.333  0.893
-        4  0.84189   0.478 -0.354  0.333  1.000 -0.043
-        5  0.97425  -0.449  0.705  0.893 -0.043  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM HESSE     STATUS=OK             31 CALLS         629 TOTAL
-                     EDM=4.61535e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.31550e+02   1.06668e+00   3.37461e-04   6.31053e-01
-   2  sg_p1        3.53137e+01   1.12240e+00   1.79185e-04   7.98026e-01
-   3  sg_p2        5.77635e+02   4.57102e+01   2.48799e-03   3.10645e+00
-   4  sg_p3        6.47572e+01   2.27278e+01   6.82099e-04   3.22908e+00
-   5  sg_p4        9.66896e-01   3.40601e-02   1.26891e-03   8.93554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.138e+00 -4.570e-01 -1.213e+01  1.173e+01 -1.703e-02 
- -4.570e-01  1.264e+00  2.725e+01 -9.434e+00  2.793e-02 
- -1.213e+01  2.725e+01  2.417e+03  3.349e+02  1.539e+00 
-  1.173e+01 -9.434e+00  3.349e+02  5.436e+02 -5.744e-02 
- -1.703e-02  2.793e-02  1.539e+00 -5.744e-02  1.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66019   1.000 -0.381 -0.231  0.472 -0.458
-        2  0.79995  -0.381  1.000  0.493 -0.360  0.713
-        3  0.96905  -0.231  0.493  1.000  0.292  0.898
-        4  0.82847   0.472 -0.360  0.292  1.000 -0.071
-        5  0.97437  -0.458  0.713  0.898 -0.071  1.000
-650
-631.55 +- 1.06668
-35.3137 +- 1.1224
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13608.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -3.05846e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.60421e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -6.11096e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.92754e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.53615e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM MIGRAD    STATUS=CONVERGED     366 CALLS         367 TOTAL
-                     EDM=4.73777e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.34937e+02   1.20416e+00   1.88745e-03   1.06307e-02
-   2  sg_p1        3.54255e+01   1.33397e+00   4.75405e-03  -6.42739e-03
-   3  sg_p2        5.82190e+02   3.67116e+01   1.00364e-02   4.55135e-03
-   4  sg_p3        6.30056e+01   1.66588e+01   1.25710e-02   4.37361e-03
-   5  sg_p4        9.54564e-01   4.17481e-02   6.34242e-03   8.71212e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.451e+00 -7.734e-01 -1.793e+01 -1.063e+01 -3.042e-02 
- -7.734e-01  1.788e+00  3.000e+01  1.060e+01  4.484e-02 
- -1.793e+01  3.000e+01  1.473e+03 -4.482e+01  1.490e+00 
- -1.063e+01  1.060e+01 -4.482e+01  2.851e+02  1.993e-01 
- -3.042e-02  4.484e-02  1.490e+00  1.993e-01  1.838e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.72232   1.000 -0.480 -0.388 -0.523 -0.589
-        2  0.84648  -0.480  1.000  0.585  0.469  0.782
-        3  0.96726  -0.388  0.585  1.000 -0.069  0.905
-        4  0.81721  -0.523  0.469 -0.069  1.000  0.275
-        5  0.97806  -0.589  0.782  0.905  0.275  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM HESSE     STATUS=OK             31 CALLS         398 TOTAL
-                     EDM=4.49878e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.34937e+02   1.17331e+00   7.54981e-05   7.27855e-01
-   2  sg_p1        3.54255e+01   1.28807e+00   1.90162e-04   8.07781e-01
-   3  sg_p2        5.82190e+02   3.82291e+01   2.00727e-03   3.04558e+00
-   4  sg_p3        6.30056e+01   1.76697e+01   5.02840e-04  -1.16840e-01
-   5  sg_p4        9.54564e-01   4.07959e-02   2.53697e-04   7.71340e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.377e+00 -6.709e-01 -1.351e+01 -1.025e+01 -2.563e-02 
- -6.709e-01  1.666e+00  2.684e+01  9.073e+00  4.040e-02 
- -1.351e+01  2.684e+01  1.611e+03 -1.944e+02  1.503e+00 
- -1.025e+01  9.073e+00 -1.944e+02  3.218e+02  7.926e-02 
- -2.563e-02  4.040e-02  1.503e+00  7.926e-02  1.751e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.70445   1.000 -0.443 -0.287 -0.487 -0.522
-        2  0.83419  -0.443  1.000  0.518  0.392  0.748
-        3  0.97010  -0.287  0.518  1.000 -0.270  0.895
-        4  0.84000  -0.487  0.392 -0.270  1.000  0.106
-        5  0.97695  -0.522  0.748  0.895  0.106  1.000
-650
-634.937 +- 1.17331
-35.4255 +- 1.28807
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13336.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.61029e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.30706e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -4.94508e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -2.82439e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   1.69237e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.26189 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -3.9054e-01  1.0008e+00  1.0126e+00  1.3098e+00  2.0673e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.392608 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM MIGRAD    STATUS=CONVERGED     434 CALLS         435 TOTAL
-                     EDM=9.27116e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.29363e+02   1.94289e+00   1.61110e-03  -6.12714e-02
-   2  sg_p1        3.39915e+01   1.39941e+00   4.02767e-03   1.41131e-02
-   3  sg_p2        5.86998e+02   3.80498e+01   5.91384e-03   1.10012e-02
-   4  sg_p3        4.52433e+01   9.31868e+00   5.76920e-03   6.15069e-03
-   5  sg_p4        9.32822e-01   8.73169e-02   7.58377e-03  -1.49983e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.778e+00 -2.106e+00 -5.004e+01 -2.088e+00 -1.541e-01 
- -2.106e+00  1.966e+00  3.539e+01  6.357e-01  1.083e-01 
- -5.004e+01  3.539e+01  1.597e+03 -2.131e+02  3.640e+00 
- -2.088e+00  6.357e-01 -2.131e+02  8.769e+01 -2.781e-01 
- -1.541e-01  1.083e-01  3.640e+00 -2.781e-01  9.342e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91269   1.000 -0.773 -0.644 -0.115 -0.820
-        2  0.87908  -0.773  1.000  0.631  0.048  0.799
-        3  0.98973  -0.644  0.631  1.000 -0.569  0.942
-        4  0.89773  -0.115  0.048 -0.569  1.000 -0.307
-        5  0.99185  -0.820  0.799  0.942 -0.307  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM HESSE     STATUS=OK             31 CALLS         466 TOTAL
-                     EDM=1.05015e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.29363e+02   1.77740e+00   3.22219e-04   5.72091e-01
-   2  sg_p1        3.39915e+01   1.30671e+00   1.61107e-04   6.89109e-01
-   3  sg_p2        5.86998e+02   4.00071e+01   2.36554e-04   2.98093e+00
-   4  sg_p3        4.52433e+01   1.08302e+01   2.30768e-04  -4.25319e-01
-   5  sg_p4        9.32822e-01   8.54732e-02   1.51675e-03   5.84938e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.161e+00 -1.710e+00 -4.134e+01 -1.168e+00 -1.264e-01 
- -1.710e+00  1.714e+00  3.071e+01 -2.615e-01  9.187e-02 
- -4.134e+01  3.071e+01  1.786e+03 -3.269e+02  3.736e+00 
- -1.168e+00 -2.615e-01 -3.269e+02  1.189e+02 -4.766e-01 
- -1.264e-01  9.187e-02  3.736e+00 -4.766e-01  8.856e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.89467   1.000 -0.735 -0.550 -0.060 -0.756
-        2  0.85981  -0.735  1.000  0.555 -0.018  0.746
-        3  0.99083  -0.550  0.555  1.000 -0.709  0.939
-        4  0.92564  -0.060 -0.018 -0.709  1.000 -0.465
-        5  0.99140  -0.756  0.746  0.939 -0.465  1.000
-650
-629.363 +- 1.7774
-33.9915 +- 1.30671
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11100.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49976e+02   9.00000e+00   0.00000e+00  -3.31148e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.41635e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.52712e-01
-   4  sg_p3        4.45955e+01   1.20000e+01  -4.37204e-01  -1.45659e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.61763e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.42251e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.89844e-02   2.11173e-03** at limit **
-   2  sg_p1        2.19547e+01   6.26260e-01   1.90248e-03  -1.39894e-01
-   3  sg_p2        6.50000e+02   1.12485e+00   1.24593e-02** at limit **
-   4  sg_p3        5.35044e+01   7.53715e+00   5.15003e-03  -5.48748e-02
-   5  sg_p4        9.02474e-01   3.44307e-02   8.35217e-03   4.98005e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  1.398e-08 -1.474e-12 -5.092e-09  1.406e-10 
-  1.398e-08  3.924e-01  9.759e-05  2.732e+00  1.581e-02 
- -1.474e-12  9.759e-05  5.173e-05  1.252e-03  7.811e-06 
- -5.092e-09  2.732e+00  1.252e-03  5.713e+01  2.196e-01 
-  1.406e-10  1.581e-02  7.811e-06  2.196e-01  1.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00112   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72732   0.001  1.000  0.022  0.577  0.725
-        3  0.03176  -0.000  0.022  1.000  0.023  0.031
-        4  0.83627  -0.000  0.577  0.023  1.000  0.835
-        5  0.88688   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.36793e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.89845e-02   4.22346e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19547e+01   6.28139e-01   3.80496e-04  -9.37931e-02
-   3  sg_p2        6.50000e+02   1.12399e+00   2.49187e-03   1.57135e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.35044e+01   7.59176e+00   2.06001e-04  -2.78513e-01
-   5  sg_p4        9.02474e-01   3.46722e-02   1.67043e-03   3.57388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  2.583e-09 -7.268e-14 -1.074e-09  2.545e-11 
-  2.583e-09  3.948e-01  2.619e-05  2.775e+00  1.601e-02 
- -7.268e-14  2.619e-05  5.169e-05  3.372e-04  2.097e-06 
- -1.074e-09  2.775e+00  3.372e-04  5.797e+01  2.235e-01 
-  2.545e-11  1.601e-02  2.097e-06  2.235e-01  1.227e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72925   0.000  1.000  0.006  0.580  0.727
-        3  0.00847  -0.000  0.006  1.000  0.006  0.008
-        4  0.83884  -0.000  0.580  0.006  1.000  0.838
-        5  0.88859   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0189845
-21.9547 +- 0.628139
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10989.9 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49981e+02   9.00000e+00   0.00000e+00  -3.26253e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.05547e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00** at limit **
-   4  sg_p3        4.52220e+01   1.20000e+01  -4.25709e-01  -2.16544e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.30632e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=6.98216e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.75977e-02   2.02403e-03** at limit **
-   2  sg_p1        2.24968e+01   6.83255e-01   1.97163e-03  -2.42215e-01
-   3  sg_p2        6.50000e+02   1.00518e+00   1.16864e-02** at limit **
-   4  sg_p3        5.38609e+01   8.09997e+00   5.22641e-03  -7.25959e-02
-   5  sg_p4        9.04199e-01   3.73923e-02   8.57345e-03   6.68076e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  9.099e-09 -3.513e-14 -1.065e-10  1.081e-10 
-  9.099e-09  4.671e-01  8.095e-06  3.376e+00  1.946e-02 
- -3.513e-14  8.095e-06  3.071e-07  1.055e-04  6.207e-07 
- -1.065e-10  3.376e+00  1.055e-04  6.604e+01  2.615e-01 
-  1.081e-10  1.946e-02  6.207e-07  2.615e-01  1.433e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75475   0.001  1.000  0.021  0.608  0.752
-        3  0.02982  -0.000  0.021  1.000  0.023  0.030
-        4  0.85148  -0.000  0.608  0.023  1.000  0.850
-        5  0.90043   0.000  0.752  0.030  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM HESSE     STATUS=OK             31 CALLS         220 TOTAL
-                     EDM=6.97303e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.75977e-02   4.04806e-04   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.24968e+01   6.85707e-01   3.94326e-04  -6.08350e-02
-   3  sg_p2        6.50000e+02   1.00444e+00   2.33727e-03   1.57075e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38609e+01   8.16623e+00   2.09056e-04  -2.72339e-01
-   5  sg_p4        9.04199e-01   3.76884e-02   1.71469e-03   3.69689e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  1.898e-09 -1.580e-15 -1.792e-10  2.195e-11 
-  1.898e-09  4.705e-01  1.591e-06  3.436e+00  1.974e-02 
- -1.580e-15  1.591e-06  3.069e-07  2.082e-05  1.221e-07 
- -1.792e-10  3.436e+00  2.082e-05  6.714e+01  2.666e-01 
-  2.195e-11  1.974e-02  1.221e-07  2.666e-01  1.456e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00025   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75678   0.000  1.000  0.004  0.611  0.754
-        3  0.00582  -0.000  0.004  1.000  0.005  0.006
-        4  0.85409  -0.000  0.611  0.005  1.000  0.853
-        5  0.90212   0.000  0.754  0.006  0.853  1.000
-650
-650 +- 0.0175977
-22.4968 +- 0.685707
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11116.3 FROM MIGRAD    STATUS=INITIATE       85 CALLS          86 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49937e+02   9.00000e+00   0.00000e+00  -4.29903e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.78823e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00   1.70769e-01
-   4  sg_p3        4.20694e+01   1.20000e+01  -4.84211e-01   8.96725e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.70161e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=6.95645e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.30525e-02   2.32852e-03** at limit **
-   2  sg_p1        2.06141e+01   7.27095e-01   1.91751e-03  -1.78455e-02
-   3  sg_p2        6.50000e+02   5.67699e-01   8.96583e-03** at limit **
-   4  sg_p3        4.38408e+01   4.74866e+00   3.33807e-03   1.68221e-02
-   5  sg_p4        8.43914e-01   5.09939e-02   1.01808e-02   4.65599e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  1.526e-08 -3.653e-13 -1.193e-07 -8.752e-10 
-  1.526e-08  5.290e-01  4.594e-06  2.209e+00  3.042e-02 
- -3.653e-13  4.594e-06  1.090e-07  2.852e-05  4.142e-07 
- -1.193e-07  2.209e+00  2.852e-05  2.261e+01  2.103e-01 
- -8.752e-10  3.042e-02  4.142e-07  2.103e-01  2.707e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00135   1.000  0.000 -0.000 -0.001 -0.000
-        2  0.80823   0.000  1.000  0.019  0.639  0.804
-        3  0.02454  -0.000  0.019  1.000  0.018  0.024
-        4  0.85317  -0.001  0.639  0.018  1.000  0.850
-        5  0.91509  -0.000  0.804  0.024  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=6.98393e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.30527e-02   4.65704e-04   1.57083e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.06141e+01   7.25563e-01   7.67004e-05  -1.75808e-01
-   3  sg_p2        6.50000e+02   5.67438e-01   1.79317e-03   1.57076e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        4.38408e+01   4.74709e+00   1.33523e-04  -4.51134e-01
-   5  sg_p4        8.43914e-01   5.09413e-02   4.07231e-04  -4.05850e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  3.367e-09 -1.567e-14 -2.669e-08 -1.963e-10 
-  3.367e-09  5.268e-01  8.847e-07  2.198e+00  3.029e-02 
- -1.567e-14  8.847e-07  1.089e-07  5.498e-06  7.992e-08 
- -2.669e-08  2.198e+00  5.498e-06  2.259e+01  2.099e-01 
- -1.963e-10  3.029e-02  7.992e-08  2.099e-01  2.702e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00030   1.000  0.000 -0.000 -0.000 -0.000
-        2  0.80732   0.000  1.000  0.004  0.637  0.803
-        3  0.00474  -0.000  0.004  1.000  0.004  0.005
-        4  0.85306  -0.000  0.637  0.004  1.000  0.850
-        5  0.91490  -0.000  0.803  0.005  0.850  1.000
-650
-650 +- 0.0230527
-20.6141 +- 0.725563
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10944.8 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49942e+02   9.00000e+00   0.00000e+00  -4.99582e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.21408e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.15963e-01
-   4  sg_p3        4.09782e+01   1.20000e+01  -5.04874e-01  -3.48354e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -7.37019e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.73549e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.97234e-02   2.13705e-03** at limit **
-   2  sg_p1        2.20280e+01   6.30629e-01   1.91154e-03   1.91770e-02
-   3  sg_p2        6.50000e+02   1.15642e+00   1.26706e-02** at limit **
-   4  sg_p3        5.38442e+01   7.62585e+00   5.23371e-03  -3.81562e-02
-   5  sg_p4        9.01968e-01   3.44467e-02   8.30135e-03   1.18530e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  5.762e-08 -8.280e-13 -3.348e-08  5.240e-10 
-  5.762e-08  3.979e-01  1.192e-05  2.762e+00  1.584e-02 
- -8.280e-13  1.192e-05  8.864e-07  1.536e-04  9.534e-07 
- -3.348e-08  2.762e+00  1.536e-04  5.849e+01  2.220e-01 
-  5.240e-10  1.584e-02  9.534e-07  2.220e-01  1.211e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00104   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72341   0.001  1.000  0.020  0.573  0.721
-        3  0.02963  -0.000  0.020  1.000  0.021  0.029
-        4  0.83506  -0.000  0.573  0.021  1.000  0.834
-        5  0.88553   0.000  0.721  0.029  0.834  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM HESSE     STATUS=OK             31 CALLS         231 TOTAL
-                     EDM=1.74019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.97235e-02   4.27410e-04   1.57071e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.20280e+01   6.32975e-01   7.64616e-05  -8.93298e-02
-   3  sg_p2        6.50000e+02   1.15565e+00   2.53411e-03   1.57087e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38442e+01   7.69157e+00   2.09349e-04  -2.72628e-01
-   5  sg_p4        9.01968e-01   3.47361e-02   3.32054e-04   3.53784e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  7.480e-09 -2.394e-14 -4.978e-09  6.545e-11 
-  7.480e-09  4.009e-01  2.527e-06  2.817e+00  1.609e-02 
- -2.394e-14  2.527e-06  8.858e-07  3.272e-05  2.022e-07 
- -4.978e-09  2.817e+00  3.272e-05  5.951e+01  2.267e-01 
-  6.545e-11  1.609e-02  2.022e-07  2.267e-01  1.232e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00014   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72585   0.000  1.000  0.004  0.577  0.724
-        3  0.00624  -0.000  0.004  1.000  0.005  0.006
-        4  0.83815  -0.000  0.577  0.005  1.000  0.837
-        5  0.88759   0.000  0.724  0.006  0.837  1.000
-650
-650 +- 0.0197235
-22.028 +- 0.632975
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11266.8 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49945e+02   9.00000e+00   0.00000e+00  -5.09816e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.59572e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00  -1.69501e-01
-   4  sg_p3        4.29297e+01   1.20000e+01  -4.68077e-01  -5.58269e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.53081e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM MIGRAD    STATUS=CONVERGED     192 CALLS         193 TOTAL
-                     EDM=6.51945e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.82842e-02   2.08842e-03** at limit **
-   2  sg_p1        2.14609e+01   6.40975e-01   1.89354e-03  -6.53789e-02
-   3  sg_p2        6.50000e+02   8.30067e-01   1.08933e-02** at limit **
-   4  sg_p3        5.04392e+01   6.38127e+00   4.50073e-03  -1.04974e-02
-   5  sg_p4        8.87574e-01   3.78194e-02   8.69382e-03   5.77855e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  7.879e-10 -3.359e-14 -1.419e-09  2.261e-12 
-  7.879e-10  4.111e-01  2.684e-05  2.430e+00  1.837e-02 
- -3.359e-14  2.684e-05  4.386e-06  2.767e-04  2.208e-06 
- -1.419e-09  2.430e+00  2.767e-04  4.089e+01  2.045e-01 
-  2.261e-12  1.837e-02  2.208e-06  2.045e-01  1.464e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75133   0.001  1.000  0.020  0.593  0.749
-        3  0.02792  -0.000  0.020  1.000  0.021  0.028
-        4  0.83716  -0.000  0.593  0.021  1.000  0.836
-        5  0.89303   0.000  0.749  0.028  0.836  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM HESSE     STATUS=OK             31 CALLS         224 TOTAL
-                     EDM=6.57565e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.82843e-02   4.17684e-04   1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.14609e+01   6.41983e-01   3.78708e-04  -1.23899e-01
-   3  sg_p2        6.50000e+02   8.29559e-01   2.17866e-03   1.57098e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.04392e+01   6.41541e+00   1.80029e-04  -3.32084e-01
-   5  sg_p4        8.87574e-01   3.80027e-02   3.47753e-04   2.53193e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  1.574e-10 -1.584e-15 -3.026e-10  3.527e-13 
-  1.574e-10  4.124e-01  6.128e-06  2.455e+00  1.851e-02 
- -1.584e-15  6.128e-06  4.383e-06  6.343e-05  5.049e-07 
- -3.026e-10  2.455e+00  6.343e-05  4.133e+01  2.070e-01 
-  3.527e-13  1.851e-02  5.049e-07  2.070e-01  1.478e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00024   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75224   0.000  1.000  0.005  0.595  0.750
-        3  0.00636  -0.000  0.005  1.000  0.005  0.006
-        4  0.83906  -0.000  0.595  0.005  1.000  0.838
-        5  0.89415   0.000  0.750  0.006  0.838  1.000
-650
-650 +- 0.0182843
-21.4609 +- 0.641983
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10353.9 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49972e+02   9.00000e+00   0.00000e+00  -3.38302e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.33664e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.20039e-01
-   4  sg_p3        4.45271e+01   1.20000e+01  -4.38463e-01  -2.07423e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.51988e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=3.70488e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.03479e-02   2.11149e-03** at limit **
-   2  sg_p1        2.19227e+01   6.48242e-01   1.90022e-03  -1.27252e-01
-   3  sg_p2        6.50000e+02   1.19398e+00   1.24007e-02** at limit **
-   4  sg_p3        5.33695e+01   7.75365e+00   5.12507e-03  -4.78312e-02
-   5  sg_p4        9.02088e-01   3.57133e-02   8.36019e-03   4.34979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.014e-08 -1.058e-12 -4.315e-09  9.944e-11 
-  1.014e-08  4.204e-01  1.012e-04  2.912e+00  1.700e-02 
- -1.058e-12  1.012e-04  5.221e-05  1.288e-03  8.107e-06 
- -4.315e-09  2.912e+00  1.288e-03  6.049e+01  2.345e-01 
-  9.944e-11  1.700e-02  8.107e-06  2.345e-01  1.304e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72806   0.001  1.000  0.022  0.577  0.726
-        3  0.03161  -0.000  0.022  1.000  0.023  0.031
-        4  0.83617  -0.000  0.577  0.023  1.000  0.835
-        5  0.88699   0.000  0.726  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=3.65925e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.03480e-02   4.22297e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19227e+01   6.50158e-01   3.80043e-04  -9.57392e-02
-   3  sg_p2        6.50000e+02   1.19307e+00   2.48014e-03   1.57134e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.33695e+01   7.80905e+00   2.05003e-04  -2.80852e-01
-   5  sg_p4        9.02088e-01   3.59600e-02   1.67204e-03   3.54640e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.922e-09 -5.339e-14 -9.335e-10  1.841e-11 
-  1.922e-09  4.229e-01  2.702e-05  2.958e+00  1.722e-02 
- -5.339e-14  2.702e-05  5.217e-05  3.453e-04  2.166e-06 
- -9.335e-10  2.958e+00  3.453e-04  6.136e+01  2.386e-01 
-  1.841e-11  1.722e-02  2.166e-06  2.386e-01  1.322e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00022   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72996   0.000  1.000  0.006  0.581  0.728
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83871  -0.000  0.581  0.006  1.000  0.838
-        5  0.88867   0.000  0.728  0.008  0.838  1.000
-650
-650 +- 0.020348
-21.9227 +- 0.650158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11888.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49914e+02   9.00000e+00   0.00000e+00  -6.82601e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.48309e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.99059e-01
-   4  sg_p3        4.46355e+01   1.20000e+01  -4.36469e-01  -2.16258e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.69494e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.23148e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.77338e-02   2.11221e-03** at limit **
-   2  sg_p1        2.19855e+01   6.05458e-01   1.90519e-03  -1.38620e-01
-   3  sg_p2        6.50000e+02   1.06015e+00   1.25262e-02** at limit **
-   4  sg_p3        5.36334e+01   7.33056e+00   5.16765e-03  -5.62178e-02
-   5  sg_p4        9.02830e-01   3.32252e-02   8.34638e-03   5.03701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  1.247e-08 -1.236e-12 -3.833e-09  1.281e-10 
-  1.247e-08  3.667e-01  8.771e-05  2.567e+00  1.472e-02 
- -1.236e-12  8.771e-05  4.483e-05  1.134e-03  7.012e-06 
- -3.833e-09  2.567e+00  1.134e-03  5.403e+01  2.060e-01 
-  1.281e-10  1.472e-02  7.012e-06  2.060e-01  1.125e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72667   0.001  1.000  0.022  0.577  0.725
-        3  0.03177  -0.000  0.022  1.000  0.023  0.031
-        4  0.83644  -0.000  0.577  0.023  1.000  0.835
-        5  0.88683   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.17857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.77339e-02   4.22443e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19855e+01   6.07305e-01   3.81037e-04  -9.19155e-02
-   3  sg_p2        6.50000e+02   1.05933e+00   2.50525e-03   1.57133e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.36334e+01   7.38443e+00   2.06706e-04  -2.76278e-01
-   5  sg_p4        9.02830e-01   3.34620e-02   1.66928e-03   3.59921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  2.310e-09 -6.277e-14 -8.650e-10  2.316e-11 
-  2.310e-09  3.690e-01  2.329e-05  2.608e+00  1.491e-02 
- -6.277e-14  2.329e-05  4.479e-05  3.022e-04  1.863e-06 
- -8.650e-10  2.608e+00  3.022e-04  5.483e+01  2.097e-01 
-  2.316e-11  1.491e-02  1.863e-06  2.097e-01  1.142e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72864   0.000  1.000  0.006  0.580  0.727
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83905  -0.000  0.580  0.006  1.000  0.838
-        5  0.88856   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0177339
-21.9855 +- 0.607305
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 17 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 18 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 20 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 21 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 22 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 26 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 35 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 41 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 650 +- 0.0189845 (stat) - 1.56965e-07 + 8.69034e-09 (syst); -0.00949226/+0.00949226 (total)
-   Uncertainty on sg_p1 = 21.9547 +- 0.628139 (stat) - 1.34059 + 0.54216 (syst); -1.37689/+0.62656 (total)
-   Uncertainty on sg_p2 = 650 +- 1.12399 (stat) - 0 + 1.14208e-05 (syst); -0.561993/+0.561993 (total)
-   Uncertainty on sg_p3 = 53.5044 +- 7.59176 (stat) - 9.66364 + 0.356475 (syst); -10.3824/+3.81258 (total)
-   Uncertainty on sg_p4 = 0.902474 +- 0.0346722 (stat) - 0.0585604 + 0.00172451 (syst); -0.0610726/+0.0174217 (total) 
-   === Baseline plot === </br>
-   norm = 1859.61
-JEC     lnN   1.0047  -
-JER     lnN   1.01327  -
-btag    lnN   1.06919  -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt
deleted file mode 100644
index 9547b3f..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1859.61 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06919    -
-JER       lnN     1.01327   - 
-JEC       lnN     1.0047   -
-trigger   lnN     1.10    -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_novo_285_624/signal650_sig.log b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_novo_285_624/signal650_sig.log
deleted file mode 100644
index 1f5e75e..0000000
--- a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/5GeV/LMR_650_novo_285_624/signal650_sig.log
+++ /dev/null
@@ -1,883 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13508.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.87056e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.46321e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.56470e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.42658e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.11139e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM MIGRAD    STATUS=CONVERGED     597 CALLS         598 TOTAL
-                     EDM=4.72558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.31550e+02   1.07438e+00   1.68730e-03  -2.23582e-01
-   2  sg_p1        3.53137e+01   1.11870e+00   4.47963e-03   6.27366e-02
-   3  sg_p2        5.77635e+02   4.62466e+01   1.24400e-02   1.02159e-02
-   4  sg_p3        6.47572e+01   2.35273e+01   1.70525e-02  -3.15130e-03
-   5  sg_p4        9.66896e-01   3.39852e-02   6.34455e-03  -3.92355e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.155e+00 -4.604e-01 -1.111e+01  1.243e+01 -1.676e-02 
- -4.604e-01  1.255e+00  2.645e+01 -9.584e+00  2.747e-02 
- -1.111e+01  2.645e+01  2.484e+03  4.016e+02  1.548e+00 
-  1.243e+01 -9.584e+00  4.016e+02  5.848e+02 -3.604e-02 
- -1.676e-02  2.747e-02  1.548e+00 -3.604e-02  1.209e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66627   1.000 -0.382 -0.207  0.478 -0.449
-        2  0.79846  -0.382  1.000  0.474 -0.354  0.705
-        3  0.96990  -0.207  0.474  1.000  0.333  0.893
-        4  0.84189   0.478 -0.354  0.333  1.000 -0.043
-        5  0.97425  -0.449  0.705  0.893 -0.043  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM HESSE     STATUS=OK             31 CALLS         629 TOTAL
-                     EDM=4.61535e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.31550e+02   1.06668e+00   3.37461e-04   6.31053e-01
-   2  sg_p1        3.53137e+01   1.12240e+00   1.79185e-04   7.98026e-01
-   3  sg_p2        5.77635e+02   4.57102e+01   2.48799e-03   3.10645e+00
-   4  sg_p3        6.47572e+01   2.27278e+01   6.82099e-04   3.22908e+00
-   5  sg_p4        9.66896e-01   3.40601e-02   1.26891e-03   8.93554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.138e+00 -4.570e-01 -1.213e+01  1.173e+01 -1.703e-02 
- -4.570e-01  1.264e+00  2.725e+01 -9.434e+00  2.793e-02 
- -1.213e+01  2.725e+01  2.417e+03  3.349e+02  1.539e+00 
-  1.173e+01 -9.434e+00  3.349e+02  5.436e+02 -5.744e-02 
- -1.703e-02  2.793e-02  1.539e+00 -5.744e-02  1.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66019   1.000 -0.381 -0.231  0.472 -0.458
-        2  0.79995  -0.381  1.000  0.493 -0.360  0.713
-        3  0.96905  -0.231  0.493  1.000  0.292  0.898
-        4  0.82847   0.472 -0.360  0.292  1.000 -0.071
-        5  0.97437  -0.458  0.713  0.898 -0.071  1.000
-650
-631.55 +- 1.06668
-35.3137 +- 1.1224
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13608.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -3.05846e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.60421e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -6.11096e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.92754e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.53615e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM MIGRAD    STATUS=CONVERGED     366 CALLS         367 TOTAL
-                     EDM=4.73777e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.34937e+02   1.20416e+00   1.88745e-03   1.06307e-02
-   2  sg_p1        3.54255e+01   1.33397e+00   4.75405e-03  -6.42739e-03
-   3  sg_p2        5.82190e+02   3.67116e+01   1.00364e-02   4.55135e-03
-   4  sg_p3        6.30056e+01   1.66588e+01   1.25710e-02   4.37361e-03
-   5  sg_p4        9.54564e-01   4.17481e-02   6.34242e-03   8.71212e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.451e+00 -7.734e-01 -1.793e+01 -1.063e+01 -3.042e-02 
- -7.734e-01  1.788e+00  3.000e+01  1.060e+01  4.484e-02 
- -1.793e+01  3.000e+01  1.473e+03 -4.482e+01  1.490e+00 
- -1.063e+01  1.060e+01 -4.482e+01  2.851e+02  1.993e-01 
- -3.042e-02  4.484e-02  1.490e+00  1.993e-01  1.838e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.72232   1.000 -0.480 -0.388 -0.523 -0.589
-        2  0.84648  -0.480  1.000  0.585  0.469  0.782
-        3  0.96726  -0.388  0.585  1.000 -0.069  0.905
-        4  0.81721  -0.523  0.469 -0.069  1.000  0.275
-        5  0.97806  -0.589  0.782  0.905  0.275  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM HESSE     STATUS=OK             31 CALLS         398 TOTAL
-                     EDM=4.49878e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.34937e+02   1.17331e+00   7.54981e-05   7.27855e-01
-   2  sg_p1        3.54255e+01   1.28807e+00   1.90162e-04   8.07781e-01
-   3  sg_p2        5.82190e+02   3.82291e+01   2.00727e-03   3.04558e+00
-   4  sg_p3        6.30056e+01   1.76697e+01   5.02840e-04  -1.16840e-01
-   5  sg_p4        9.54564e-01   4.07959e-02   2.53697e-04   7.71340e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.377e+00 -6.709e-01 -1.351e+01 -1.025e+01 -2.563e-02 
- -6.709e-01  1.666e+00  2.684e+01  9.073e+00  4.040e-02 
- -1.351e+01  2.684e+01  1.611e+03 -1.944e+02  1.503e+00 
- -1.025e+01  9.073e+00 -1.944e+02  3.218e+02  7.926e-02 
- -2.563e-02  4.040e-02  1.503e+00  7.926e-02  1.751e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.70445   1.000 -0.443 -0.287 -0.487 -0.522
-        2  0.83419  -0.443  1.000  0.518  0.392  0.748
-        3  0.97010  -0.287  0.518  1.000 -0.270  0.895
-        4  0.84000  -0.487  0.392 -0.270  1.000  0.106
-        5  0.97695  -0.522  0.748  0.895  0.106  1.000
-650
-634.937 +- 1.17331
-35.4255 +- 1.28807
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13336.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.61029e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.30706e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -4.94508e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -2.82439e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   1.69237e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.26189 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -3.9054e-01  1.0008e+00  1.0126e+00  1.3098e+00  2.0673e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.392608 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM MIGRAD    STATUS=CONVERGED     434 CALLS         435 TOTAL
-                     EDM=9.27116e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.29363e+02   1.94289e+00   1.61110e-03  -6.12714e-02
-   2  sg_p1        3.39915e+01   1.39941e+00   4.02767e-03   1.41131e-02
-   3  sg_p2        5.86998e+02   3.80498e+01   5.91384e-03   1.10012e-02
-   4  sg_p3        4.52433e+01   9.31868e+00   5.76920e-03   6.15069e-03
-   5  sg_p4        9.32822e-01   8.73169e-02   7.58377e-03  -1.49983e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.778e+00 -2.106e+00 -5.004e+01 -2.088e+00 -1.541e-01 
- -2.106e+00  1.966e+00  3.539e+01  6.357e-01  1.083e-01 
- -5.004e+01  3.539e+01  1.597e+03 -2.131e+02  3.640e+00 
- -2.088e+00  6.357e-01 -2.131e+02  8.769e+01 -2.781e-01 
- -1.541e-01  1.083e-01  3.640e+00 -2.781e-01  9.342e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91269   1.000 -0.773 -0.644 -0.115 -0.820
-        2  0.87908  -0.773  1.000  0.631  0.048  0.799
-        3  0.98973  -0.644  0.631  1.000 -0.569  0.942
-        4  0.89773  -0.115  0.048 -0.569  1.000 -0.307
-        5  0.99185  -0.820  0.799  0.942 -0.307  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM HESSE     STATUS=OK             31 CALLS         466 TOTAL
-                     EDM=1.05015e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.29363e+02   1.77740e+00   3.22219e-04   5.72091e-01
-   2  sg_p1        3.39915e+01   1.30671e+00   1.61107e-04   6.89109e-01
-   3  sg_p2        5.86998e+02   4.00071e+01   2.36554e-04   2.98093e+00
-   4  sg_p3        4.52433e+01   1.08302e+01   2.30768e-04  -4.25319e-01
-   5  sg_p4        9.32822e-01   8.54732e-02   1.51675e-03   5.84938e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.161e+00 -1.710e+00 -4.134e+01 -1.168e+00 -1.264e-01 
- -1.710e+00  1.714e+00  3.071e+01 -2.615e-01  9.187e-02 
- -4.134e+01  3.071e+01  1.786e+03 -3.269e+02  3.736e+00 
- -1.168e+00 -2.615e-01 -3.269e+02  1.189e+02 -4.766e-01 
- -1.264e-01  9.187e-02  3.736e+00 -4.766e-01  8.856e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.89467   1.000 -0.735 -0.550 -0.060 -0.756
-        2  0.85981  -0.735  1.000  0.555 -0.018  0.746
-        3  0.99083  -0.550  0.555  1.000 -0.709  0.939
-        4  0.92564  -0.060 -0.018 -0.709  1.000 -0.465
-        5  0.99140  -0.756  0.746  0.939 -0.465  1.000
-650
-629.363 +- 1.7774
-33.9915 +- 1.30671
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11100.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49976e+02   9.00000e+00   0.00000e+00  -3.31148e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.41635e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.52712e-01
-   4  sg_p3        4.45955e+01   1.20000e+01  -4.37204e-01  -1.45659e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.61763e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.42251e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.89844e-02   2.11173e-03** at limit **
-   2  sg_p1        2.19547e+01   6.26260e-01   1.90248e-03  -1.39894e-01
-   3  sg_p2        6.50000e+02   1.12485e+00   1.24593e-02** at limit **
-   4  sg_p3        5.35044e+01   7.53715e+00   5.15003e-03  -5.48748e-02
-   5  sg_p4        9.02474e-01   3.44307e-02   8.35217e-03   4.98005e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  1.398e-08 -1.474e-12 -5.092e-09  1.406e-10 
-  1.398e-08  3.924e-01  9.759e-05  2.732e+00  1.581e-02 
- -1.474e-12  9.759e-05  5.173e-05  1.252e-03  7.811e-06 
- -5.092e-09  2.732e+00  1.252e-03  5.713e+01  2.196e-01 
-  1.406e-10  1.581e-02  7.811e-06  2.196e-01  1.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00112   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72732   0.001  1.000  0.022  0.577  0.725
-        3  0.03176  -0.000  0.022  1.000  0.023  0.031
-        4  0.83627  -0.000  0.577  0.023  1.000  0.835
-        5  0.88688   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.36793e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.89845e-02   4.22346e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19547e+01   6.28139e-01   3.80496e-04  -9.37931e-02
-   3  sg_p2        6.50000e+02   1.12399e+00   2.49187e-03   1.57135e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.35044e+01   7.59176e+00   2.06001e-04  -2.78513e-01
-   5  sg_p4        9.02474e-01   3.46722e-02   1.67043e-03   3.57388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  2.583e-09 -7.268e-14 -1.074e-09  2.545e-11 
-  2.583e-09  3.948e-01  2.619e-05  2.775e+00  1.601e-02 
- -7.268e-14  2.619e-05  5.169e-05  3.372e-04  2.097e-06 
- -1.074e-09  2.775e+00  3.372e-04  5.797e+01  2.235e-01 
-  2.545e-11  1.601e-02  2.097e-06  2.235e-01  1.227e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72925   0.000  1.000  0.006  0.580  0.727
-        3  0.00847  -0.000  0.006  1.000  0.006  0.008
-        4  0.83884  -0.000  0.580  0.006  1.000  0.838
-        5  0.88859   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0189845
-21.9547 +- 0.628139
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10989.9 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49981e+02   9.00000e+00   0.00000e+00  -3.26253e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.05547e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00** at limit **
-   4  sg_p3        4.52220e+01   1.20000e+01  -4.25709e-01  -2.16544e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.30632e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=6.98216e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.75977e-02   2.02403e-03** at limit **
-   2  sg_p1        2.24968e+01   6.83255e-01   1.97163e-03  -2.42215e-01
-   3  sg_p2        6.50000e+02   1.00518e+00   1.16864e-02** at limit **
-   4  sg_p3        5.38609e+01   8.09997e+00   5.22641e-03  -7.25959e-02
-   5  sg_p4        9.04199e-01   3.73923e-02   8.57345e-03   6.68076e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  9.099e-09 -3.513e-14 -1.065e-10  1.081e-10 
-  9.099e-09  4.671e-01  8.095e-06  3.376e+00  1.946e-02 
- -3.513e-14  8.095e-06  3.071e-07  1.055e-04  6.207e-07 
- -1.065e-10  3.376e+00  1.055e-04  6.604e+01  2.615e-01 
-  1.081e-10  1.946e-02  6.207e-07  2.615e-01  1.433e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75475   0.001  1.000  0.021  0.608  0.752
-        3  0.02982  -0.000  0.021  1.000  0.023  0.030
-        4  0.85148  -0.000  0.608  0.023  1.000  0.850
-        5  0.90043   0.000  0.752  0.030  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM HESSE     STATUS=OK             31 CALLS         220 TOTAL
-                     EDM=6.97303e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.75977e-02   4.04806e-04   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.24968e+01   6.85707e-01   3.94326e-04  -6.08350e-02
-   3  sg_p2        6.50000e+02   1.00444e+00   2.33727e-03   1.57075e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38609e+01   8.16623e+00   2.09056e-04  -2.72339e-01
-   5  sg_p4        9.04199e-01   3.76884e-02   1.71469e-03   3.69689e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  1.898e-09 -1.580e-15 -1.792e-10  2.195e-11 
-  1.898e-09  4.705e-01  1.591e-06  3.436e+00  1.974e-02 
- -1.580e-15  1.591e-06  3.069e-07  2.082e-05  1.221e-07 
- -1.792e-10  3.436e+00  2.082e-05  6.714e+01  2.666e-01 
-  2.195e-11  1.974e-02  1.221e-07  2.666e-01  1.456e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00025   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75678   0.000  1.000  0.004  0.611  0.754
-        3  0.00582  -0.000  0.004  1.000  0.005  0.006
-        4  0.85409  -0.000  0.611  0.005  1.000  0.853
-        5  0.90212   0.000  0.754  0.006  0.853  1.000
-650
-650 +- 0.0175977
-22.4968 +- 0.685707
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11116.3 FROM MIGRAD    STATUS=INITIATE       85 CALLS          86 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49937e+02   9.00000e+00   0.00000e+00  -4.29903e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.78823e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00   1.70769e-01
-   4  sg_p3        4.20694e+01   1.20000e+01  -4.84211e-01   8.96725e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.70161e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=6.95645e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.30525e-02   2.32852e-03** at limit **
-   2  sg_p1        2.06141e+01   7.27095e-01   1.91751e-03  -1.78455e-02
-   3  sg_p2        6.50000e+02   5.67699e-01   8.96583e-03** at limit **
-   4  sg_p3        4.38408e+01   4.74866e+00   3.33807e-03   1.68221e-02
-   5  sg_p4        8.43914e-01   5.09939e-02   1.01808e-02   4.65599e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  1.526e-08 -3.653e-13 -1.193e-07 -8.752e-10 
-  1.526e-08  5.290e-01  4.594e-06  2.209e+00  3.042e-02 
- -3.653e-13  4.594e-06  1.090e-07  2.852e-05  4.142e-07 
- -1.193e-07  2.209e+00  2.852e-05  2.261e+01  2.103e-01 
- -8.752e-10  3.042e-02  4.142e-07  2.103e-01  2.707e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00135   1.000  0.000 -0.000 -0.001 -0.000
-        2  0.80823   0.000  1.000  0.019  0.639  0.804
-        3  0.02454  -0.000  0.019  1.000  0.018  0.024
-        4  0.85317  -0.001  0.639  0.018  1.000  0.850
-        5  0.91509  -0.000  0.804  0.024  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=6.98393e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.30527e-02   4.65704e-04   1.57083e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.06141e+01   7.25563e-01   7.67004e-05  -1.75808e-01
-   3  sg_p2        6.50000e+02   5.67438e-01   1.79317e-03   1.57076e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        4.38408e+01   4.74709e+00   1.33523e-04  -4.51134e-01
-   5  sg_p4        8.43914e-01   5.09413e-02   4.07231e-04  -4.05850e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  3.367e-09 -1.567e-14 -2.669e-08 -1.963e-10 
-  3.367e-09  5.268e-01  8.847e-07  2.198e+00  3.029e-02 
- -1.567e-14  8.847e-07  1.089e-07  5.498e-06  7.992e-08 
- -2.669e-08  2.198e+00  5.498e-06  2.259e+01  2.099e-01 
- -1.963e-10  3.029e-02  7.992e-08  2.099e-01  2.702e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00030   1.000  0.000 -0.000 -0.000 -0.000
-        2  0.80732   0.000  1.000  0.004  0.637  0.803
-        3  0.00474  -0.000  0.004  1.000  0.004  0.005
-        4  0.85306  -0.000  0.637  0.004  1.000  0.850
-        5  0.91490  -0.000  0.803  0.005  0.850  1.000
-650
-650 +- 0.0230527
-20.6141 +- 0.725563
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10944.8 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49942e+02   9.00000e+00   0.00000e+00  -4.99582e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.21408e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.15963e-01
-   4  sg_p3        4.09782e+01   1.20000e+01  -5.04874e-01  -3.48354e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -7.37019e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.73549e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.97234e-02   2.13705e-03** at limit **
-   2  sg_p1        2.20280e+01   6.30629e-01   1.91154e-03   1.91770e-02
-   3  sg_p2        6.50000e+02   1.15642e+00   1.26706e-02** at limit **
-   4  sg_p3        5.38442e+01   7.62585e+00   5.23371e-03  -3.81562e-02
-   5  sg_p4        9.01968e-01   3.44467e-02   8.30135e-03   1.18530e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  5.762e-08 -8.280e-13 -3.348e-08  5.240e-10 
-  5.762e-08  3.979e-01  1.192e-05  2.762e+00  1.584e-02 
- -8.280e-13  1.192e-05  8.864e-07  1.536e-04  9.534e-07 
- -3.348e-08  2.762e+00  1.536e-04  5.849e+01  2.220e-01 
-  5.240e-10  1.584e-02  9.534e-07  2.220e-01  1.211e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00104   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72341   0.001  1.000  0.020  0.573  0.721
-        3  0.02963  -0.000  0.020  1.000  0.021  0.029
-        4  0.83506  -0.000  0.573  0.021  1.000  0.834
-        5  0.88553   0.000  0.721  0.029  0.834  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM HESSE     STATUS=OK             31 CALLS         231 TOTAL
-                     EDM=1.74019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.97235e-02   4.27410e-04   1.57071e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.20280e+01   6.32975e-01   7.64616e-05  -8.93298e-02
-   3  sg_p2        6.50000e+02   1.15565e+00   2.53411e-03   1.57087e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38442e+01   7.69157e+00   2.09349e-04  -2.72628e-01
-   5  sg_p4        9.01968e-01   3.47361e-02   3.32054e-04   3.53784e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  7.480e-09 -2.394e-14 -4.978e-09  6.545e-11 
-  7.480e-09  4.009e-01  2.527e-06  2.817e+00  1.609e-02 
- -2.394e-14  2.527e-06  8.858e-07  3.272e-05  2.022e-07 
- -4.978e-09  2.817e+00  3.272e-05  5.951e+01  2.267e-01 
-  6.545e-11  1.609e-02  2.022e-07  2.267e-01  1.232e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00014   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72585   0.000  1.000  0.004  0.577  0.724
-        3  0.00624  -0.000  0.004  1.000  0.005  0.006
-        4  0.83815  -0.000  0.577  0.005  1.000  0.837
-        5  0.88759   0.000  0.724  0.006  0.837  1.000
-650
-650 +- 0.0197235
-22.028 +- 0.632975
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11266.8 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49945e+02   9.00000e+00   0.00000e+00  -5.09816e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.59572e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00  -1.69501e-01
-   4  sg_p3        4.29297e+01   1.20000e+01  -4.68077e-01  -5.58269e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.53081e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM MIGRAD    STATUS=CONVERGED     192 CALLS         193 TOTAL
-                     EDM=6.51945e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.82842e-02   2.08842e-03** at limit **
-   2  sg_p1        2.14609e+01   6.40975e-01   1.89354e-03  -6.53789e-02
-   3  sg_p2        6.50000e+02   8.30067e-01   1.08933e-02** at limit **
-   4  sg_p3        5.04392e+01   6.38127e+00   4.50073e-03  -1.04974e-02
-   5  sg_p4        8.87574e-01   3.78194e-02   8.69382e-03   5.77855e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  7.879e-10 -3.359e-14 -1.419e-09  2.261e-12 
-  7.879e-10  4.111e-01  2.684e-05  2.430e+00  1.837e-02 
- -3.359e-14  2.684e-05  4.386e-06  2.767e-04  2.208e-06 
- -1.419e-09  2.430e+00  2.767e-04  4.089e+01  2.045e-01 
-  2.261e-12  1.837e-02  2.208e-06  2.045e-01  1.464e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75133   0.001  1.000  0.020  0.593  0.749
-        3  0.02792  -0.000  0.020  1.000  0.021  0.028
-        4  0.83716  -0.000  0.593  0.021  1.000  0.836
-        5  0.89303   0.000  0.749  0.028  0.836  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM HESSE     STATUS=OK             31 CALLS         224 TOTAL
-                     EDM=6.57565e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.82843e-02   4.17684e-04   1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.14609e+01   6.41983e-01   3.78708e-04  -1.23899e-01
-   3  sg_p2        6.50000e+02   8.29559e-01   2.17866e-03   1.57098e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.04392e+01   6.41541e+00   1.80029e-04  -3.32084e-01
-   5  sg_p4        8.87574e-01   3.80027e-02   3.47753e-04   2.53193e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  1.574e-10 -1.584e-15 -3.026e-10  3.527e-13 
-  1.574e-10  4.124e-01  6.128e-06  2.455e+00  1.851e-02 
- -1.584e-15  6.128e-06  4.383e-06  6.343e-05  5.049e-07 
- -3.026e-10  2.455e+00  6.343e-05  4.133e+01  2.070e-01 
-  3.527e-13  1.851e-02  5.049e-07  2.070e-01  1.478e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00024   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75224   0.000  1.000  0.005  0.595  0.750
-        3  0.00636  -0.000  0.005  1.000  0.005  0.006
-        4  0.83906  -0.000  0.595  0.005  1.000  0.838
-        5  0.89415   0.000  0.750  0.006  0.838  1.000
-650
-650 +- 0.0182843
-21.4609 +- 0.641983
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10353.9 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49972e+02   9.00000e+00   0.00000e+00  -3.38302e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.33664e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.20039e-01
-   4  sg_p3        4.45271e+01   1.20000e+01  -4.38463e-01  -2.07423e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.51988e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=3.70488e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.03479e-02   2.11149e-03** at limit **
-   2  sg_p1        2.19227e+01   6.48242e-01   1.90022e-03  -1.27252e-01
-   3  sg_p2        6.50000e+02   1.19398e+00   1.24007e-02** at limit **
-   4  sg_p3        5.33695e+01   7.75365e+00   5.12507e-03  -4.78312e-02
-   5  sg_p4        9.02088e-01   3.57133e-02   8.36019e-03   4.34979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.014e-08 -1.058e-12 -4.315e-09  9.944e-11 
-  1.014e-08  4.204e-01  1.012e-04  2.912e+00  1.700e-02 
- -1.058e-12  1.012e-04  5.221e-05  1.288e-03  8.107e-06 
- -4.315e-09  2.912e+00  1.288e-03  6.049e+01  2.345e-01 
-  9.944e-11  1.700e-02  8.107e-06  2.345e-01  1.304e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72806   0.001  1.000  0.022  0.577  0.726
-        3  0.03161  -0.000  0.022  1.000  0.023  0.031
-        4  0.83617  -0.000  0.577  0.023  1.000  0.835
-        5  0.88699   0.000  0.726  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=3.65925e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.03480e-02   4.22297e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19227e+01   6.50158e-01   3.80043e-04  -9.57392e-02
-   3  sg_p2        6.50000e+02   1.19307e+00   2.48014e-03   1.57134e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.33695e+01   7.80905e+00   2.05003e-04  -2.80852e-01
-   5  sg_p4        9.02088e-01   3.59600e-02   1.67204e-03   3.54640e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.922e-09 -5.339e-14 -9.335e-10  1.841e-11 
-  1.922e-09  4.229e-01  2.702e-05  2.958e+00  1.722e-02 
- -5.339e-14  2.702e-05  5.217e-05  3.453e-04  2.166e-06 
- -9.335e-10  2.958e+00  3.453e-04  6.136e+01  2.386e-01 
-  1.841e-11  1.722e-02  2.166e-06  2.386e-01  1.322e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00022   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72996   0.000  1.000  0.006  0.581  0.728
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83871  -0.000  0.581  0.006  1.000  0.838
-        5  0.88867   0.000  0.728  0.008  0.838  1.000
-650
-650 +- 0.020348
-21.9227 +- 0.650158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11888.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49914e+02   9.00000e+00   0.00000e+00  -6.82601e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.48309e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.99059e-01
-   4  sg_p3        4.46355e+01   1.20000e+01  -4.36469e-01  -2.16258e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.69494e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.23148e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.77338e-02   2.11221e-03** at limit **
-   2  sg_p1        2.19855e+01   6.05458e-01   1.90519e-03  -1.38620e-01
-   3  sg_p2        6.50000e+02   1.06015e+00   1.25262e-02** at limit **
-   4  sg_p3        5.36334e+01   7.33056e+00   5.16765e-03  -5.62178e-02
-   5  sg_p4        9.02830e-01   3.32252e-02   8.34638e-03   5.03701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  1.247e-08 -1.236e-12 -3.833e-09  1.281e-10 
-  1.247e-08  3.667e-01  8.771e-05  2.567e+00  1.472e-02 
- -1.236e-12  8.771e-05  4.483e-05  1.134e-03  7.012e-06 
- -3.833e-09  2.567e+00  1.134e-03  5.403e+01  2.060e-01 
-  1.281e-10  1.472e-02  7.012e-06  2.060e-01  1.125e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72667   0.001  1.000  0.022  0.577  0.725
-        3  0.03177  -0.000  0.022  1.000  0.023  0.031
-        4  0.83644  -0.000  0.577  0.023  1.000  0.835
-        5  0.88683   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.17857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.77339e-02   4.22443e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19855e+01   6.07305e-01   3.81037e-04  -9.19155e-02
-   3  sg_p2        6.50000e+02   1.05933e+00   2.50525e-03   1.57133e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.36334e+01   7.38443e+00   2.06706e-04  -2.76278e-01
-   5  sg_p4        9.02830e-01   3.34620e-02   1.66928e-03   3.59921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  2.310e-09 -6.277e-14 -8.650e-10  2.316e-11 
-  2.310e-09  3.690e-01  2.329e-05  2.608e+00  1.491e-02 
- -6.277e-14  2.329e-05  4.479e-05  3.022e-04  1.863e-06 
- -8.650e-10  2.608e+00  3.022e-04  5.483e+01  2.097e-01 
-  2.316e-11  1.491e-02  1.863e-06  2.097e-01  1.142e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72864   0.000  1.000  0.006  0.580  0.727
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83905  -0.000  0.580  0.006  1.000  0.838
-        5  0.88856   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0177339
-21.9855 +- 0.607305
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 17 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 18 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 20 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 21 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 22 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 26 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 35 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 41 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 650 +- 0.0189845 (stat) - 1.56965e-07 + 8.69034e-09 (syst); -0.00949226/+0.00949226 (total)
-   Uncertainty on sg_p1 = 21.9547 +- 0.628139 (stat) - 1.34059 + 0.54216 (syst); -1.37689/+0.62656 (total)
-   Uncertainty on sg_p2 = 650 +- 1.12399 (stat) - 0 + 1.14208e-05 (syst); -0.561993/+0.561993 (total)
-   Uncertainty on sg_p3 = 53.5044 +- 7.59176 (stat) - 9.66364 + 0.356475 (syst); -10.3824/+3.81258 (total)
-   Uncertainty on sg_p4 = 0.902474 +- 0.0346722 (stat) - 0.0585604 + 0.00172451 (syst); -0.0610726/+0.0174217 (total) 
-   === Baseline plot === </br>
-   norm = 1859.61
-JEC     lnN   1.0047  -
-JER     lnN   1.01327  -
-btag    lnN   1.06919  -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/save/Histograms_BTagall.root b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/save/Histograms_BTagall.root
deleted file mode 100644
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diff --git a/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/save/Histograms_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root b/PreselectedWithRegressionDeepCSV/LMRSelection_chi2/save/Histograms_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root
deleted file mode 100644
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diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt
deleted file mode 100644
index 3d13d0b..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  6.61454 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.35523    -
-JER       lnN     1.0152   - 
-JEC       lnN     1.01006   -
-trigger   lnN     1.10    -
-PDF       lnN     1.03016737915   -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 5768702..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=17.9412 FROM MIGRAD    STATUS=CONVERGED      82 CALLS          83 TOTAL
-                     EDM=1.43821e-08    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     9.72377e+00   1.32726e+00   2.28094e-03  -1.17855e-04
-   2  Mean         9.96311e-01   4.40706e-03   8.75365e-06  -2.32534e-02
-   3  Sigma        3.01674e-02   3.89013e-03   7.78171e-05  -4.31616e-03
-0.996310506796 +/- 0.00440706428391
-0.0301673791494 +/- 0.00389013367801
-PDF lnN 1.03016737915
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log
deleted file mode 100644
index 626a232..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log
+++ /dev/null
@@ -1,945 +0,0 @@
-
-Processing test.c...
-nSignal_init = 50000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24889.5 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.22453e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.53589e+02
-   3  sg_p2        9.89758e-01   5.00000e-01   0.00000e+00   2.96541e+02
-   4  sg_p3        7.78994e-01   7.00000e-01  -8.90570e-01   5.10370e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.15992e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.90383e+02   1.26314e+00   1.88989e-03   1.21344e-01
-   2  sg_p1        4.50000e+01   1.21905e-01   1.69196e-02** at limit **
-   3  sg_p2        1.02011e+00   4.11152e-02   1.91933e-03   2.89472e-02
-   4  sg_p3        1.18700e+00   6.01449e-02   1.87537e-03   1.46355e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.596e+00  4.010e-06  2.573e-02 -4.941e-02 
-  4.010e-06  1.885e-07 -1.275e-07 -4.838e-07 
-  2.573e-02 -1.275e-07  1.691e-03 -5.988e-04 
- -4.941e-02 -4.838e-07 -5.988e-04  3.618e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73763   1.000  0.007  0.495 -0.650
-        2  0.02208   0.007  1.000 -0.007 -0.019
-        3  0.50646   0.495 -0.007  1.000 -0.242
-        4  0.65685  -0.650 -0.019 -0.242  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=1.17259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.90383e+02   1.26342e+00   3.77979e-04  -1.93551e-01
-   2  sg_p1        4.50000e+01   1.21891e-01   3.38391e-03   1.57107e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.02011e+00   4.11293e-02   7.67732e-05  -6.33481e-01
-   4  sg_p3        1.18700e+00   6.01270e-02   7.50148e-05  -7.21959e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.597e+00  9.064e-07  2.577e-02 -4.939e-02 
-  9.064e-07  1.885e-07 -2.868e-08 -1.091e-07 
-  2.577e-02 -2.868e-08  1.692e-03 -5.978e-04 
- -4.939e-02 -1.091e-07 -5.978e-04  3.616e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73776   1.000  0.002  0.496 -0.650
-        2  0.00498   0.002  1.000 -0.002 -0.004
-        3  0.50696   0.496 -0.002  1.000 -0.242
-        4  0.65659  -0.650 -0.004 -0.242  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-990.383 +- 1.26342
-45 +- 0.121891
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24403.1 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.26882e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.93966e+02
-   3  sg_p2        9.63072e-01   5.00000e-01   0.00000e+00   2.31928e+02
-   4  sg_p3        8.86770e-01   7.00000e-01  -8.42993e-01   8.03262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=6.49551e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.95493e+02   9.33476e-01   1.79739e-03  -1.13004e-01
-   2  sg_p1        4.50000e+01   1.21162e-01   1.67946e-02** at limit **
-   3  sg_p2        1.13607e+00   4.42015e-02   2.25943e-03  -2.24141e-01
-   4  sg_p3        1.13155e+00   4.13228e-02   1.53138e-03   2.62522e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  8.715e-01  4.578e-06  3.814e-04 -1.748e-02 
-  4.578e-06  9.111e-07 -4.559e-07 -5.336e-07 
-  3.814e-04 -4.559e-07  1.954e-03  1.592e-04 
- -1.748e-02 -5.336e-07  1.592e-04  1.708e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.45573   1.000  0.005  0.009 -0.453
-        2  0.01663   0.005  1.000 -0.011 -0.014
-        3  0.10332   0.009 -0.011  1.000  0.087
-        4  0.46232  -0.453 -0.014  0.087  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=9.33859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.95493e+02   1.04671e+00   3.59477e-04  -9.02624e-02
-   2  sg_p1        4.50000e+01   1.21173e-01   3.35892e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.13607e+00   4.95685e-02   4.51887e-04  -5.77071e-01
-   4  sg_p3        1.13155e+00   4.14941e-02   3.06277e-04  -7.43270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.096e+00  5.239e-08  2.349e-02 -1.999e-02 
-  5.239e-08  9.112e-07 -6.164e-08 -6.151e-08 
-  2.349e-02 -6.164e-08  2.457e-03 -2.607e-04 
- -1.999e-02 -6.151e-08 -2.607e-04  1.722e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60817   1.000  0.000  0.453 -0.460
-        2  0.00217   0.000  1.000 -0.001 -0.002
-        3  0.46189   0.453 -0.001  1.000 -0.127
-        4  0.46928  -0.460 -0.002 -0.127  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-995.493 +- 1.04671
-45 +- 0.121173
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=25056.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   4.08464e+01
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.81870e+02
-   3  sg_p2        1.21059e+00   5.00000e-01   0.00000e+00   5.34510e+02
-   4  sg_p3        6.71391e-01   7.00000e-01  -2.20055e+00  -8.87064e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=5.5921e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.84744e+02   1.19560e+00   1.95809e-03   2.95439e-02
-   2  sg_p1        4.50000e+01   1.21031e-01   1.69661e-02** at limit **
-   3  sg_p2        9.63081e-01   3.97444e-02   1.82185e-03  -6.76282e-03
-   4  sg_p3        1.23132e+00   5.50596e-02   1.88577e-03  -4.12979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.430e+00 -3.803e-08  2.612e-02  3.540e-02 
- -3.803e-08  3.884e-10 -9.020e-09  1.301e-08 
-  2.612e-02 -9.020e-09  1.580e-03  4.623e-04 
-  3.540e-02  1.301e-08  4.623e-04  3.032e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69869   1.000 -0.002  0.550  0.538
-        2  0.01886  -0.002  1.000 -0.012  0.012
-        3  0.55874   0.550 -0.012  1.000  0.211
-        4  0.54722   0.538  0.012  0.211  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM HESSE     STATUS=OK             23 CALLS         252 TOTAL
-                     EDM=5.61522e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.84744e+02   1.19463e+00   7.83235e-05  -3.10063e-01
-   2  sg_p1        4.50000e+01   1.21032e-01   3.39322e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        9.63081e-01   3.97567e-02   7.28742e-05  -6.62091e-01
-   4  sg_p3        1.23132e+00   5.49819e-02   7.54308e-05  -2.43638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.427e+00 -7.637e-09  2.613e-02  3.521e-02 
- -7.637e-09  3.884e-10 -1.811e-09  2.617e-09 
-  2.613e-02 -1.811e-09  1.581e-03  4.609e-04 
-  3.521e-02  2.617e-09  4.609e-04  3.023e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69809   1.000 -0.000  0.550  0.536
-        2  0.00379  -0.000  1.000 -0.002  0.002
-        3  0.55912   0.550 -0.002  1.000  0.211
-        4  0.54541   0.536  0.002  0.211  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-984.744 +- 1.19463
-45 +- 0.121032
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23747 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   1.99056e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.60594e+02
-   3  sg_p2        9.21832e-01   5.00000e-01   0.00000e+00   1.22069e+02
-   4  sg_p3        1.41673e+00   7.00000e-01  -6.37540e-01   4.87774e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=7.40636e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01658e+03   8.13144e-01   2.06376e-03  -3.76416e-01
-   2  sg_p1        4.00000e+01   4.68280e-01   3.89370e-02** at limit **
-   3  sg_p2        1.22240e+00   5.07108e-02   2.32615e-03   2.98325e-01
-   4  sg_p3        1.49206e+00   7.79105e-02   2.55089e-03  -7.56703e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.613e-01  1.056e-05  1.493e-02 -2.862e-02 
-  1.056e-05  1.856e-06 -2.776e-06 -7.148e-06 
-  1.493e-02 -2.776e-06  2.572e-03 -4.218e-04 
- -2.862e-02 -7.148e-06 -4.218e-04  6.072e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55096   1.000  0.010  0.362 -0.452
-        2  0.08279   0.010  1.000 -0.040 -0.067
-        3  0.36961   0.362 -0.040  1.000 -0.107
-        4  0.45964  -0.452 -0.067 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM HESSE     STATUS=OK             23 CALLS         272 TOTAL
-                     EDM=7.50694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01658e+03   8.10249e-01   4.12751e-04   4.50469e-02
-   2  sg_p1        4.00000e+01   4.69104e-01   7.78740e-03   1.57131e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22240e+00   5.04194e-02   4.65229e-04  -5.36395e-01
-   4  sg_p3        1.49206e+00   7.77461e-02   1.02036e-04  -6.11014e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.566e-01  2.550e-06  1.440e-02 -2.848e-02 
-  2.550e-06  1.859e-06 -6.023e-07 -1.591e-06 
-  1.440e-02 -6.023e-07  2.543e-03 -4.084e-04 
- -2.848e-02 -1.591e-06 -4.084e-04  6.046e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54642   1.000  0.002  0.353 -0.452
-        2  0.01831   0.002  1.000 -0.009 -0.015
-        3  0.35800   0.353 -0.009  1.000 -0.104
-        4  0.45596  -0.452 -0.015 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.58 +- 0.810249
-40 +- 0.469104
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23321 FROM MIGRAD    STATUS=INITIATE       62 CALLS          63 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -2.15456e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   8.44246e+00
-   3  sg_p2        8.58947e-01   5.00000e-01   0.00000e+00   1.85345e+02
-   4  sg_p3        9.45698e-01   7.00000e-01  -8.18030e-01  -4.63007e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             25 CALLS         397 TOTAL
-                     EDM=0.00260498    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01832e+03   7.86712e-01   2.07176e-03   2.20958e+00
-   2  sg_p1        3.99993e+01   1.77184e+00   7.04451e-02  -2.46019e-02
-   3  sg_p2        1.21002e+00   5.23460e-02   1.24212e-03  -3.03189e+00
-   4  sg_p3        1.46453e+00   6.41490e-02   2.20715e-03   4.63062e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23288 FROM MIGRAD    STATUS=CONVERGED     405 CALLS         406 TOTAL
-                     EDM=3.27684e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.7 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01831e+03   7.85112e-01  -4.32924e-04  -2.09259e-02
-   2  sg_p1        3.99999e+01   1.83061e+00   8.35977e-03  -1.12946e-02
-   3  sg_p2        1.21288e+00   5.27607e-02   1.33598e-03  -8.93872e-02
-   4  sg_p3        1.46454e+00   6.41540e-02   6.09141e-06  -1.12247e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.165e-01 -9.032e-04  1.537e-02 -1.778e-02 
- -9.032e-04  7.440e-04 -2.479e-05 -1.812e-04 
-  1.537e-02 -2.479e-05  2.784e-03 -1.646e-04 
- -1.778e-02 -1.812e-04 -1.646e-04  4.116e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.50511   1.000 -0.042  0.371 -0.353
-        2  0.13383  -0.042  1.000 -0.017 -0.104
-        3  0.38141   0.371 -0.017  1.000 -0.049
-        4  0.38267  -0.353 -0.104 -0.049  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             27 CALLS         433 TOTAL
-                     EDM=6.045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01831e+03   7.86243e-01   2.07195e-03   9.46567e-02
-   2  sg_p1        3.99999e+01   1.65716e+00   2.81780e-02   1.56570e+00
-   3  sg_p2        1.21288e+00   5.23867e-02   2.37732e-03  -5.40830e-01
-   4  sg_p3        1.46454e+00   6.37794e-02   2.20581e-03  -6.20643e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.183e-01 -1.323e-04  1.524e-02 -1.755e-02 
- -1.323e-04  6.707e-04 -5.377e-05 -7.207e-05 
-  1.524e-02 -5.377e-05  2.745e-03 -2.465e-04 
- -1.755e-02 -7.207e-05 -2.465e-04  4.068e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49151   1.000 -0.006  0.370 -0.350
-        2  0.06175  -0.006  1.000 -0.040 -0.044
-        3  0.37636   0.370 -0.040  1.000 -0.074
-        4  0.35760  -0.350 -0.044 -0.074  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1018.31 +- 0.786243
-39.9999 +- 1.65716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23875.8 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   4.43398e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.77680e+02
-   3  sg_p2        9.21219e-01   5.00000e-01   0.00000e+00   7.52454e+00
-   4  sg_p3        1.40649e+00   7.00000e-01  -6.41185e-01   5.95628e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=7.75608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01285e+03   8.33665e-01   2.07912e-03   1.70866e-02
-   2  sg_p1        3.98091e+01   8.48923e-01   3.16082e-02  -1.03759e-02
-   3  sg_p2        1.12381e+00   5.95622e-02   2.13485e-03   3.30200e-01
-   4  sg_p3        1.54010e+00   8.22224e-02   2.41055e-03  -1.53820e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.951e-01  2.065e-01  2.518e-02 -6.574e-03 
-  2.065e-01  6.697e-01  3.047e-02  3.584e-02 
-  2.518e-02  3.047e-02  3.549e-03  1.365e-03 
- -6.574e-03  3.584e-02  1.365e-03  6.762e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.57532   1.000  0.303  0.507 -0.096
-        2  0.73404   0.303  1.000  0.625  0.533
-        3  0.70991   0.507  0.625  1.000  0.279
-        4  0.59907  -0.096  0.533  0.279  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=7.73708e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01285e+03   8.49657e-01   4.15824e-04  -6.14668e-02
-   2  sg_p1        3.98091e+01   1.04461e+00   1.26433e-03   1.34471e+00
-   3  sg_p2        1.12381e+00   6.43212e-02   4.26970e-04  -5.82935e-01
-   4  sg_p3        1.54010e+00   8.72084e-02   9.64222e-05  -5.94353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.221e-01  2.723e-01  2.914e-02 -1.973e-03 
-  2.723e-01  8.279e-01  4.043e-02  4.780e-02 
-  2.914e-02  4.043e-02  4.139e-03  2.068e-03 
- -1.973e-03  4.780e-02  2.068e-03  7.608e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59661   1.000  0.352  0.533 -0.027
-        2  0.79068   0.352  1.000  0.691  0.602
-        3  0.75807   0.533  0.691  1.000  0.369
-        4  0.65582  -0.027  0.602  0.369  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1012.85 +- 0.849657
-39.8091 +- 1.04461
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23239.4 FROM MIGRAD    STATUS=INITIATE       64 CALLS          65 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.27750e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   1.26948e-01
-   3  sg_p2        8.74738e-01   5.00000e-01   0.00000e+00   1.80702e+02
-   4  sg_p3        9.26595e-01   7.00000e-01  -8.26048e-01  -4.27618e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=0.00014251    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01577e+03   8.64818e-01   2.10463e-03   2.40523e-01
-   2  sg_p1        3.99999e+01   1.00303e+00   5.37328e-02  -1.94869e-02
-   3  sg_p2        1.13318e+00   5.62974e-02   2.39200e-03  -5.76330e-02
-   4  sg_p3        1.52247e+00   6.86424e-02   2.34430e-03   1.64373e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.481e-01 -1.096e-03  2.562e-02 -1.857e-02 
- -1.096e-03  4.530e-04 -1.315e-04 -8.807e-05 
-  2.562e-02 -1.315e-04  3.170e-03 -3.976e-04 
- -1.857e-02 -8.807e-05 -3.976e-04  4.713e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.58719   1.000 -0.060  0.526 -0.313
-        2  0.13360  -0.060  1.000 -0.110 -0.060
-        3  0.53513   0.526 -0.110  1.000 -0.103
-        4  0.32913  -0.313 -0.060 -0.103  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM HESSE     STATUS=OK             29 CALLS         267 TOTAL
-                     EDM=0.000133982    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01577e+03   8.73102e-01   4.20925e-04   2.20882e-02
-   2  sg_p1        3.99999e+01   1.01940e+00   2.14931e-03   1.56537e+00
-   3  sg_p2        1.13318e+00   5.62622e-02   9.56802e-05  -5.78450e-01
-   4  sg_p3        1.52247e+00   7.21948e-02   7.98704e-02  -6.00445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.625e-01  2.144e-04  2.611e-02 -2.173e-02 
-  2.144e-04  4.606e-04  2.659e-05  2.032e-05 
-  2.611e-02  2.659e-05  3.166e-03 -5.636e-04 
- -2.173e-02  2.032e-05 -5.636e-04  5.213e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59764   1.000  0.011  0.531 -0.345
-        2  0.02791   0.011  1.000  0.022  0.013
-        3  0.53363   0.531  0.022  1.000 -0.139
-        4  0.34900  -0.345  0.013 -0.139  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1015.77 +- 0.873102
-39.9999 +- 1.0194
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23904.2 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.58334e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -6.45414e+00
-   3  sg_p2        9.40575e-01   5.00000e-01   0.00000e+00   2.02619e+02
-   4  sg_p3        9.50207e-01   7.00000e-01  -8.16148e-01  -4.42963e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM MIGRAD    STATUS=CONVERGED     250 CALLS         251 TOTAL
-                     EDM=1.36548e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01639e+03   7.28586e-01   2.01823e-03  -1.76359e-02
-   2  sg_p1        4.00000e+01   7.49353e-01   4.69202e-02  -5.91552e-03
-   3  sg_p2        1.26989e+00   5.63661e-02   2.54093e-03   8.80770e-02
-   4  sg_p3        1.53945e+00   6.56083e-02   2.27702e-03  -7.24550e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.309e-01 -7.297e-05  1.348e-02 -1.019e-02 
- -7.297e-05  1.681e-05 -1.973e-05 -2.021e-05 
-  1.348e-02 -1.973e-05  3.178e-03  5.005e-04 
- -1.019e-02 -2.021e-05  5.005e-04  4.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41880   1.000 -0.024  0.328 -0.213
-        2  0.10777  -0.024  1.000 -0.085 -0.075
-        3  0.39425   0.328 -0.085  1.000  0.135
-        4  0.31076  -0.213 -0.075  0.135  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM HESSE     STATUS=OK             23 CALLS         274 TOTAL
-                     EDM=1.44816e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01639e+03   7.40109e-01   4.03646e-04   3.97032e-02
-   2  sg_p1        4.00000e+01   7.56384e-01   9.38403e-03   1.56958e+00
-   3  sg_p2        1.26989e+00   5.58118e-02   1.01637e-04  -5.14435e-01
-   4  sg_p3        1.53945e+00   6.43105e-02   9.10809e-05  -5.94577e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.478e-01 -1.128e-05  1.525e-02 -1.306e-02 
- -1.128e-05  1.697e-05 -2.641e-06 -2.503e-06 
-  1.525e-02 -2.641e-06  3.116e-03 -1.984e-04 
- -1.306e-02 -2.503e-06 -1.984e-04  4.137e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44819   1.000 -0.004  0.369 -0.274
-        2  0.01546  -0.004  1.000 -0.011 -0.009
-        3  0.37224   0.369 -0.011  1.000 -0.055
-        4  0.27895  -0.274 -0.009 -0.055  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.39 +- 0.740109
-40 +- 0.756384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16426.3 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   2.76971e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -7.40412e+01
-   3  sg_p2        7.53407e-01   5.00000e-01   0.00000e+00  -2.61313e+02
-   4  sg_p3        1.41708e+00   7.00000e-01  -6.37416e-01   3.61680e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.2739e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01657e+03   9.77555e-01   2.06312e-03  -3.61028e-03
-   2  sg_p1        4.00000e+01   6.78180e-01   3.73477e-02  -7.76696e-03
-   3  sg_p2        1.22238e+00   6.09231e-02   2.33024e-03  -3.84112e-02
-   4  sg_p3        1.49153e+00   9.35612e-02   2.57411e-03  -3.75876e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.559e-01  3.743e-05  2.152e-02 -4.133e-02 
-  3.743e-05  2.111e-05 -9.720e-06 -2.510e-05 
-  2.152e-02 -9.720e-06  3.713e-03 -6.103e-04 
- -4.133e-02 -2.510e-05 -6.103e-04  8.757e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55051   1.000  0.008  0.361 -0.452
-        2  0.07170   0.008  1.000 -0.035 -0.058
-        3  0.36817   0.361 -0.035  1.000 -0.107
-        4  0.45868  -0.452 -0.058 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM HESSE     STATUS=OK             23 CALLS         228 TOTAL
-                     EDM=1.33694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01657e+03   9.74476e-01   4.12624e-04   4.48931e-02
-   2  sg_p1        4.00000e+01   6.79952e-01   7.46954e-03   1.56937e+00
-   3  sg_p2        1.22238e+00   6.06205e-02   9.32097e-05  -5.36402e-01
-   4  sg_p3        1.49153e+00   9.34142e-02   1.02965e-04  -6.11196e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.499e-01  5.447e-06  2.083e-02 -4.116e-02 
-  5.447e-06  2.117e-05 -1.283e-06 -3.388e-06 
-  2.083e-02 -1.283e-06  3.676e-03 -5.904e-04 
- -4.116e-02 -3.388e-06 -5.904e-04  8.729e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54649   1.000  0.001  0.353 -0.452
-        2  0.00962   0.001  1.000 -0.005 -0.008
-        3  0.35791   0.353 -0.005  1.000 -0.104
-        4  0.45594  -0.452 -0.008 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.57 +- 0.974476
-40 +- 0.679952
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33287.9 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   3.29127e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -2.09458e+02
-   3  sg_p2        8.91728e-01   5.00000e-01   0.00000e+00   7.37516e+01
-   4  sg_p3        1.41601e+00   7.00000e-01  -6.37796e-01   6.89934e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=5.9663e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01659e+03   6.86602e-01   2.06298e-03   6.23454e-02
-   2  sg_p1        4.00000e+01   3.36413e-01   3.74809e-02** at limit **
-   3  sg_p2        1.22194e+00   4.27738e-02   2.32926e-03  -6.40806e-02
-   4  sg_p3        1.49222e+00   6.57997e-02   2.57024e-03  -1.52134e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.715e-01  8.305e-06  1.061e-02 -2.041e-02 
-  8.305e-06  1.928e-06 -2.165e-06 -5.598e-06 
-  1.061e-02 -2.165e-06  1.830e-03 -3.008e-04 
- -2.041e-02 -5.598e-06 -3.008e-04  4.330e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55055   1.000  0.009  0.361 -0.452
-        2  0.07527   0.009  1.000 -0.036 -0.061
-        3  0.36846   0.361 -0.036  1.000 -0.107
-        4  0.45894  -0.452 -0.061 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=6.1799e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01659e+03   6.84411e-01   4.12596e-04   4.54194e-02
-   2  sg_p1        4.00000e+01   3.37160e-01   7.49617e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22194e+00   4.25566e-02   9.31704e-05  -5.36608e-01
-   4  sg_p3        1.49222e+00   6.56863e-02   1.02809e-04  -6.10958e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.685e-01  1.563e-06  1.027e-02 -2.032e-02 
-  1.563e-06  1.932e-06 -3.692e-07 -9.768e-07 
-  1.027e-02 -3.692e-07  1.811e-03 -2.913e-04 
- -2.032e-02 -9.768e-07 -2.913e-04  4.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54648   1.000  0.002  0.353 -0.452
-        2  0.01305   0.002  1.000 -0.006 -0.011
-        3  0.35799   0.353 -0.006  1.000 -0.104
-        4  0.45593  -0.452 -0.011 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.59 +- 0.684411
-40 +- 0.33716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 1016.58 +- 0.810249 (stat) - 3.72609 + 1.73193 (syst); -3.74805/+1.77868 (total)
-   Uncertainty on sg_p1 = 40 +- 0.469104 (stat) - 0.190863 + 0 (syst); -0.302396/+0.234552 (total)
-   Uncertainty on sg_p2 = 1.2224 +- 0.0504194 (stat) - 0.0985888 + 0.0474949 (syst); -0.101761/+0.0537708 (total)
-   Uncertainty on sg_p3 = 1.49206 +- 0.0777461 (stat) - 0.0275125 + 0.0480377 (syst); -0.0476241/+0.0617959 (total)
-   === Baseline plot === </br>
-   norm = 330.727
-JEC     lnN   1.01006  -
-JER     lnN   1.0152  -
-btag    lnN   1.35523  -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
deleted file mode 100644
index 90070d8..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  6.61454 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.35523    -
-JER       lnN     1.0152   - 
-JEC       lnN     1.01006   -
-trigger   lnN     1.10    -
-PDF       lnN     1.03016737915   -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/pdf.log
deleted file mode 100644
index 5768702..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=17.9412 FROM MIGRAD    STATUS=CONVERGED      82 CALLS          83 TOTAL
-                     EDM=1.43821e-08    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     9.72377e+00   1.32726e+00   2.28094e-03  -1.17855e-04
-   2  Mean         9.96311e-01   4.40706e-03   8.75365e-06  -2.32534e-02
-   3  Sigma        3.01674e-02   3.89013e-03   7.78171e-05  -4.31616e-03
-0.996310506796 +/- 0.00440706428391
-0.0301673791494 +/- 0.00389013367801
-PDF lnN 1.03016737915
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/signal1000_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/signal1000_sig.log
deleted file mode 100644
index 626a232..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_1000_novo_550_1200/signal1000_sig.log
+++ /dev/null
@@ -1,945 +0,0 @@
-
-Processing test.c...
-nSignal_init = 50000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24889.5 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.22453e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.53589e+02
-   3  sg_p2        9.89758e-01   5.00000e-01   0.00000e+00   2.96541e+02
-   4  sg_p3        7.78994e-01   7.00000e-01  -8.90570e-01   5.10370e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.15992e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.90383e+02   1.26314e+00   1.88989e-03   1.21344e-01
-   2  sg_p1        4.50000e+01   1.21905e-01   1.69196e-02** at limit **
-   3  sg_p2        1.02011e+00   4.11152e-02   1.91933e-03   2.89472e-02
-   4  sg_p3        1.18700e+00   6.01449e-02   1.87537e-03   1.46355e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.596e+00  4.010e-06  2.573e-02 -4.941e-02 
-  4.010e-06  1.885e-07 -1.275e-07 -4.838e-07 
-  2.573e-02 -1.275e-07  1.691e-03 -5.988e-04 
- -4.941e-02 -4.838e-07 -5.988e-04  3.618e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73763   1.000  0.007  0.495 -0.650
-        2  0.02208   0.007  1.000 -0.007 -0.019
-        3  0.50646   0.495 -0.007  1.000 -0.242
-        4  0.65685  -0.650 -0.019 -0.242  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=1.17259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.90383e+02   1.26342e+00   3.77979e-04  -1.93551e-01
-   2  sg_p1        4.50000e+01   1.21891e-01   3.38391e-03   1.57107e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.02011e+00   4.11293e-02   7.67732e-05  -6.33481e-01
-   4  sg_p3        1.18700e+00   6.01270e-02   7.50148e-05  -7.21959e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.597e+00  9.064e-07  2.577e-02 -4.939e-02 
-  9.064e-07  1.885e-07 -2.868e-08 -1.091e-07 
-  2.577e-02 -2.868e-08  1.692e-03 -5.978e-04 
- -4.939e-02 -1.091e-07 -5.978e-04  3.616e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73776   1.000  0.002  0.496 -0.650
-        2  0.00498   0.002  1.000 -0.002 -0.004
-        3  0.50696   0.496 -0.002  1.000 -0.242
-        4  0.65659  -0.650 -0.004 -0.242  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-990.383 +- 1.26342
-45 +- 0.121891
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24403.1 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.26882e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.93966e+02
-   3  sg_p2        9.63072e-01   5.00000e-01   0.00000e+00   2.31928e+02
-   4  sg_p3        8.86770e-01   7.00000e-01  -8.42993e-01   8.03262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=6.49551e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.95493e+02   9.33476e-01   1.79739e-03  -1.13004e-01
-   2  sg_p1        4.50000e+01   1.21162e-01   1.67946e-02** at limit **
-   3  sg_p2        1.13607e+00   4.42015e-02   2.25943e-03  -2.24141e-01
-   4  sg_p3        1.13155e+00   4.13228e-02   1.53138e-03   2.62522e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  8.715e-01  4.578e-06  3.814e-04 -1.748e-02 
-  4.578e-06  9.111e-07 -4.559e-07 -5.336e-07 
-  3.814e-04 -4.559e-07  1.954e-03  1.592e-04 
- -1.748e-02 -5.336e-07  1.592e-04  1.708e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.45573   1.000  0.005  0.009 -0.453
-        2  0.01663   0.005  1.000 -0.011 -0.014
-        3  0.10332   0.009 -0.011  1.000  0.087
-        4  0.46232  -0.453 -0.014  0.087  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=9.33859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.95493e+02   1.04671e+00   3.59477e-04  -9.02624e-02
-   2  sg_p1        4.50000e+01   1.21173e-01   3.35892e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.13607e+00   4.95685e-02   4.51887e-04  -5.77071e-01
-   4  sg_p3        1.13155e+00   4.14941e-02   3.06277e-04  -7.43270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.096e+00  5.239e-08  2.349e-02 -1.999e-02 
-  5.239e-08  9.112e-07 -6.164e-08 -6.151e-08 
-  2.349e-02 -6.164e-08  2.457e-03 -2.607e-04 
- -1.999e-02 -6.151e-08 -2.607e-04  1.722e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60817   1.000  0.000  0.453 -0.460
-        2  0.00217   0.000  1.000 -0.001 -0.002
-        3  0.46189   0.453 -0.001  1.000 -0.127
-        4  0.46928  -0.460 -0.002 -0.127  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-995.493 +- 1.04671
-45 +- 0.121173
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=25056.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   4.08464e+01
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.81870e+02
-   3  sg_p2        1.21059e+00   5.00000e-01   0.00000e+00   5.34510e+02
-   4  sg_p3        6.71391e-01   7.00000e-01  -2.20055e+00  -8.87064e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=5.5921e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.84744e+02   1.19560e+00   1.95809e-03   2.95439e-02
-   2  sg_p1        4.50000e+01   1.21031e-01   1.69661e-02** at limit **
-   3  sg_p2        9.63081e-01   3.97444e-02   1.82185e-03  -6.76282e-03
-   4  sg_p3        1.23132e+00   5.50596e-02   1.88577e-03  -4.12979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.430e+00 -3.803e-08  2.612e-02  3.540e-02 
- -3.803e-08  3.884e-10 -9.020e-09  1.301e-08 
-  2.612e-02 -9.020e-09  1.580e-03  4.623e-04 
-  3.540e-02  1.301e-08  4.623e-04  3.032e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69869   1.000 -0.002  0.550  0.538
-        2  0.01886  -0.002  1.000 -0.012  0.012
-        3  0.55874   0.550 -0.012  1.000  0.211
-        4  0.54722   0.538  0.012  0.211  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM HESSE     STATUS=OK             23 CALLS         252 TOTAL
-                     EDM=5.61522e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.84744e+02   1.19463e+00   7.83235e-05  -3.10063e-01
-   2  sg_p1        4.50000e+01   1.21032e-01   3.39322e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        9.63081e-01   3.97567e-02   7.28742e-05  -6.62091e-01
-   4  sg_p3        1.23132e+00   5.49819e-02   7.54308e-05  -2.43638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.427e+00 -7.637e-09  2.613e-02  3.521e-02 
- -7.637e-09  3.884e-10 -1.811e-09  2.617e-09 
-  2.613e-02 -1.811e-09  1.581e-03  4.609e-04 
-  3.521e-02  2.617e-09  4.609e-04  3.023e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69809   1.000 -0.000  0.550  0.536
-        2  0.00379  -0.000  1.000 -0.002  0.002
-        3  0.55912   0.550 -0.002  1.000  0.211
-        4  0.54541   0.536  0.002  0.211  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-984.744 +- 1.19463
-45 +- 0.121032
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23747 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   1.99056e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.60594e+02
-   3  sg_p2        9.21832e-01   5.00000e-01   0.00000e+00   1.22069e+02
-   4  sg_p3        1.41673e+00   7.00000e-01  -6.37540e-01   4.87774e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=7.40636e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01658e+03   8.13144e-01   2.06376e-03  -3.76416e-01
-   2  sg_p1        4.00000e+01   4.68280e-01   3.89370e-02** at limit **
-   3  sg_p2        1.22240e+00   5.07108e-02   2.32615e-03   2.98325e-01
-   4  sg_p3        1.49206e+00   7.79105e-02   2.55089e-03  -7.56703e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.613e-01  1.056e-05  1.493e-02 -2.862e-02 
-  1.056e-05  1.856e-06 -2.776e-06 -7.148e-06 
-  1.493e-02 -2.776e-06  2.572e-03 -4.218e-04 
- -2.862e-02 -7.148e-06 -4.218e-04  6.072e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55096   1.000  0.010  0.362 -0.452
-        2  0.08279   0.010  1.000 -0.040 -0.067
-        3  0.36961   0.362 -0.040  1.000 -0.107
-        4  0.45964  -0.452 -0.067 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM HESSE     STATUS=OK             23 CALLS         272 TOTAL
-                     EDM=7.50694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01658e+03   8.10249e-01   4.12751e-04   4.50469e-02
-   2  sg_p1        4.00000e+01   4.69104e-01   7.78740e-03   1.57131e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22240e+00   5.04194e-02   4.65229e-04  -5.36395e-01
-   4  sg_p3        1.49206e+00   7.77461e-02   1.02036e-04  -6.11014e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.566e-01  2.550e-06  1.440e-02 -2.848e-02 
-  2.550e-06  1.859e-06 -6.023e-07 -1.591e-06 
-  1.440e-02 -6.023e-07  2.543e-03 -4.084e-04 
- -2.848e-02 -1.591e-06 -4.084e-04  6.046e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54642   1.000  0.002  0.353 -0.452
-        2  0.01831   0.002  1.000 -0.009 -0.015
-        3  0.35800   0.353 -0.009  1.000 -0.104
-        4  0.45596  -0.452 -0.015 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.58 +- 0.810249
-40 +- 0.469104
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23321 FROM MIGRAD    STATUS=INITIATE       62 CALLS          63 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -2.15456e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   8.44246e+00
-   3  sg_p2        8.58947e-01   5.00000e-01   0.00000e+00   1.85345e+02
-   4  sg_p3        9.45698e-01   7.00000e-01  -8.18030e-01  -4.63007e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             25 CALLS         397 TOTAL
-                     EDM=0.00260498    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01832e+03   7.86712e-01   2.07176e-03   2.20958e+00
-   2  sg_p1        3.99993e+01   1.77184e+00   7.04451e-02  -2.46019e-02
-   3  sg_p2        1.21002e+00   5.23460e-02   1.24212e-03  -3.03189e+00
-   4  sg_p3        1.46453e+00   6.41490e-02   2.20715e-03   4.63062e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23288 FROM MIGRAD    STATUS=CONVERGED     405 CALLS         406 TOTAL
-                     EDM=3.27684e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.7 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01831e+03   7.85112e-01  -4.32924e-04  -2.09259e-02
-   2  sg_p1        3.99999e+01   1.83061e+00   8.35977e-03  -1.12946e-02
-   3  sg_p2        1.21288e+00   5.27607e-02   1.33598e-03  -8.93872e-02
-   4  sg_p3        1.46454e+00   6.41540e-02   6.09141e-06  -1.12247e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.165e-01 -9.032e-04  1.537e-02 -1.778e-02 
- -9.032e-04  7.440e-04 -2.479e-05 -1.812e-04 
-  1.537e-02 -2.479e-05  2.784e-03 -1.646e-04 
- -1.778e-02 -1.812e-04 -1.646e-04  4.116e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.50511   1.000 -0.042  0.371 -0.353
-        2  0.13383  -0.042  1.000 -0.017 -0.104
-        3  0.38141   0.371 -0.017  1.000 -0.049
-        4  0.38267  -0.353 -0.104 -0.049  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             27 CALLS         433 TOTAL
-                     EDM=6.045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01831e+03   7.86243e-01   2.07195e-03   9.46567e-02
-   2  sg_p1        3.99999e+01   1.65716e+00   2.81780e-02   1.56570e+00
-   3  sg_p2        1.21288e+00   5.23867e-02   2.37732e-03  -5.40830e-01
-   4  sg_p3        1.46454e+00   6.37794e-02   2.20581e-03  -6.20643e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.183e-01 -1.323e-04  1.524e-02 -1.755e-02 
- -1.323e-04  6.707e-04 -5.377e-05 -7.207e-05 
-  1.524e-02 -5.377e-05  2.745e-03 -2.465e-04 
- -1.755e-02 -7.207e-05 -2.465e-04  4.068e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49151   1.000 -0.006  0.370 -0.350
-        2  0.06175  -0.006  1.000 -0.040 -0.044
-        3  0.37636   0.370 -0.040  1.000 -0.074
-        4  0.35760  -0.350 -0.044 -0.074  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1018.31 +- 0.786243
-39.9999 +- 1.65716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23875.8 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   4.43398e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.77680e+02
-   3  sg_p2        9.21219e-01   5.00000e-01   0.00000e+00   7.52454e+00
-   4  sg_p3        1.40649e+00   7.00000e-01  -6.41185e-01   5.95628e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=7.75608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01285e+03   8.33665e-01   2.07912e-03   1.70866e-02
-   2  sg_p1        3.98091e+01   8.48923e-01   3.16082e-02  -1.03759e-02
-   3  sg_p2        1.12381e+00   5.95622e-02   2.13485e-03   3.30200e-01
-   4  sg_p3        1.54010e+00   8.22224e-02   2.41055e-03  -1.53820e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.951e-01  2.065e-01  2.518e-02 -6.574e-03 
-  2.065e-01  6.697e-01  3.047e-02  3.584e-02 
-  2.518e-02  3.047e-02  3.549e-03  1.365e-03 
- -6.574e-03  3.584e-02  1.365e-03  6.762e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.57532   1.000  0.303  0.507 -0.096
-        2  0.73404   0.303  1.000  0.625  0.533
-        3  0.70991   0.507  0.625  1.000  0.279
-        4  0.59907  -0.096  0.533  0.279  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=7.73708e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01285e+03   8.49657e-01   4.15824e-04  -6.14668e-02
-   2  sg_p1        3.98091e+01   1.04461e+00   1.26433e-03   1.34471e+00
-   3  sg_p2        1.12381e+00   6.43212e-02   4.26970e-04  -5.82935e-01
-   4  sg_p3        1.54010e+00   8.72084e-02   9.64222e-05  -5.94353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.221e-01  2.723e-01  2.914e-02 -1.973e-03 
-  2.723e-01  8.279e-01  4.043e-02  4.780e-02 
-  2.914e-02  4.043e-02  4.139e-03  2.068e-03 
- -1.973e-03  4.780e-02  2.068e-03  7.608e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59661   1.000  0.352  0.533 -0.027
-        2  0.79068   0.352  1.000  0.691  0.602
-        3  0.75807   0.533  0.691  1.000  0.369
-        4  0.65582  -0.027  0.602  0.369  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1012.85 +- 0.849657
-39.8091 +- 1.04461
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23239.4 FROM MIGRAD    STATUS=INITIATE       64 CALLS          65 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.27750e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   1.26948e-01
-   3  sg_p2        8.74738e-01   5.00000e-01   0.00000e+00   1.80702e+02
-   4  sg_p3        9.26595e-01   7.00000e-01  -8.26048e-01  -4.27618e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=0.00014251    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01577e+03   8.64818e-01   2.10463e-03   2.40523e-01
-   2  sg_p1        3.99999e+01   1.00303e+00   5.37328e-02  -1.94869e-02
-   3  sg_p2        1.13318e+00   5.62974e-02   2.39200e-03  -5.76330e-02
-   4  sg_p3        1.52247e+00   6.86424e-02   2.34430e-03   1.64373e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.481e-01 -1.096e-03  2.562e-02 -1.857e-02 
- -1.096e-03  4.530e-04 -1.315e-04 -8.807e-05 
-  2.562e-02 -1.315e-04  3.170e-03 -3.976e-04 
- -1.857e-02 -8.807e-05 -3.976e-04  4.713e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.58719   1.000 -0.060  0.526 -0.313
-        2  0.13360  -0.060  1.000 -0.110 -0.060
-        3  0.53513   0.526 -0.110  1.000 -0.103
-        4  0.32913  -0.313 -0.060 -0.103  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM HESSE     STATUS=OK             29 CALLS         267 TOTAL
-                     EDM=0.000133982    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01577e+03   8.73102e-01   4.20925e-04   2.20882e-02
-   2  sg_p1        3.99999e+01   1.01940e+00   2.14931e-03   1.56537e+00
-   3  sg_p2        1.13318e+00   5.62622e-02   9.56802e-05  -5.78450e-01
-   4  sg_p3        1.52247e+00   7.21948e-02   7.98704e-02  -6.00445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.625e-01  2.144e-04  2.611e-02 -2.173e-02 
-  2.144e-04  4.606e-04  2.659e-05  2.032e-05 
-  2.611e-02  2.659e-05  3.166e-03 -5.636e-04 
- -2.173e-02  2.032e-05 -5.636e-04  5.213e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59764   1.000  0.011  0.531 -0.345
-        2  0.02791   0.011  1.000  0.022  0.013
-        3  0.53363   0.531  0.022  1.000 -0.139
-        4  0.34900  -0.345  0.013 -0.139  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1015.77 +- 0.873102
-39.9999 +- 1.0194
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23904.2 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.58334e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -6.45414e+00
-   3  sg_p2        9.40575e-01   5.00000e-01   0.00000e+00   2.02619e+02
-   4  sg_p3        9.50207e-01   7.00000e-01  -8.16148e-01  -4.42963e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM MIGRAD    STATUS=CONVERGED     250 CALLS         251 TOTAL
-                     EDM=1.36548e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01639e+03   7.28586e-01   2.01823e-03  -1.76359e-02
-   2  sg_p1        4.00000e+01   7.49353e-01   4.69202e-02  -5.91552e-03
-   3  sg_p2        1.26989e+00   5.63661e-02   2.54093e-03   8.80770e-02
-   4  sg_p3        1.53945e+00   6.56083e-02   2.27702e-03  -7.24550e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.309e-01 -7.297e-05  1.348e-02 -1.019e-02 
- -7.297e-05  1.681e-05 -1.973e-05 -2.021e-05 
-  1.348e-02 -1.973e-05  3.178e-03  5.005e-04 
- -1.019e-02 -2.021e-05  5.005e-04  4.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41880   1.000 -0.024  0.328 -0.213
-        2  0.10777  -0.024  1.000 -0.085 -0.075
-        3  0.39425   0.328 -0.085  1.000  0.135
-        4  0.31076  -0.213 -0.075  0.135  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM HESSE     STATUS=OK             23 CALLS         274 TOTAL
-                     EDM=1.44816e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01639e+03   7.40109e-01   4.03646e-04   3.97032e-02
-   2  sg_p1        4.00000e+01   7.56384e-01   9.38403e-03   1.56958e+00
-   3  sg_p2        1.26989e+00   5.58118e-02   1.01637e-04  -5.14435e-01
-   4  sg_p3        1.53945e+00   6.43105e-02   9.10809e-05  -5.94577e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.478e-01 -1.128e-05  1.525e-02 -1.306e-02 
- -1.128e-05  1.697e-05 -2.641e-06 -2.503e-06 
-  1.525e-02 -2.641e-06  3.116e-03 -1.984e-04 
- -1.306e-02 -2.503e-06 -1.984e-04  4.137e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44819   1.000 -0.004  0.369 -0.274
-        2  0.01546  -0.004  1.000 -0.011 -0.009
-        3  0.37224   0.369 -0.011  1.000 -0.055
-        4  0.27895  -0.274 -0.009 -0.055  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.39 +- 0.740109
-40 +- 0.756384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16426.3 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   2.76971e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -7.40412e+01
-   3  sg_p2        7.53407e-01   5.00000e-01   0.00000e+00  -2.61313e+02
-   4  sg_p3        1.41708e+00   7.00000e-01  -6.37416e-01   3.61680e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.2739e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01657e+03   9.77555e-01   2.06312e-03  -3.61028e-03
-   2  sg_p1        4.00000e+01   6.78180e-01   3.73477e-02  -7.76696e-03
-   3  sg_p2        1.22238e+00   6.09231e-02   2.33024e-03  -3.84112e-02
-   4  sg_p3        1.49153e+00   9.35612e-02   2.57411e-03  -3.75876e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.559e-01  3.743e-05  2.152e-02 -4.133e-02 
-  3.743e-05  2.111e-05 -9.720e-06 -2.510e-05 
-  2.152e-02 -9.720e-06  3.713e-03 -6.103e-04 
- -4.133e-02 -2.510e-05 -6.103e-04  8.757e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55051   1.000  0.008  0.361 -0.452
-        2  0.07170   0.008  1.000 -0.035 -0.058
-        3  0.36817   0.361 -0.035  1.000 -0.107
-        4  0.45868  -0.452 -0.058 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM HESSE     STATUS=OK             23 CALLS         228 TOTAL
-                     EDM=1.33694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01657e+03   9.74476e-01   4.12624e-04   4.48931e-02
-   2  sg_p1        4.00000e+01   6.79952e-01   7.46954e-03   1.56937e+00
-   3  sg_p2        1.22238e+00   6.06205e-02   9.32097e-05  -5.36402e-01
-   4  sg_p3        1.49153e+00   9.34142e-02   1.02965e-04  -6.11196e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.499e-01  5.447e-06  2.083e-02 -4.116e-02 
-  5.447e-06  2.117e-05 -1.283e-06 -3.388e-06 
-  2.083e-02 -1.283e-06  3.676e-03 -5.904e-04 
- -4.116e-02 -3.388e-06 -5.904e-04  8.729e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54649   1.000  0.001  0.353 -0.452
-        2  0.00962   0.001  1.000 -0.005 -0.008
-        3  0.35791   0.353 -0.005  1.000 -0.104
-        4  0.45594  -0.452 -0.008 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.57 +- 0.974476
-40 +- 0.679952
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33287.9 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   3.29127e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -2.09458e+02
-   3  sg_p2        8.91728e-01   5.00000e-01   0.00000e+00   7.37516e+01
-   4  sg_p3        1.41601e+00   7.00000e-01  -6.37796e-01   6.89934e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=5.9663e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01659e+03   6.86602e-01   2.06298e-03   6.23454e-02
-   2  sg_p1        4.00000e+01   3.36413e-01   3.74809e-02** at limit **
-   3  sg_p2        1.22194e+00   4.27738e-02   2.32926e-03  -6.40806e-02
-   4  sg_p3        1.49222e+00   6.57997e-02   2.57024e-03  -1.52134e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.715e-01  8.305e-06  1.061e-02 -2.041e-02 
-  8.305e-06  1.928e-06 -2.165e-06 -5.598e-06 
-  1.061e-02 -2.165e-06  1.830e-03 -3.008e-04 
- -2.041e-02 -5.598e-06 -3.008e-04  4.330e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55055   1.000  0.009  0.361 -0.452
-        2  0.07527   0.009  1.000 -0.036 -0.061
-        3  0.36846   0.361 -0.036  1.000 -0.107
-        4  0.45894  -0.452 -0.061 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=6.1799e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01659e+03   6.84411e-01   4.12596e-04   4.54194e-02
-   2  sg_p1        4.00000e+01   3.37160e-01   7.49617e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22194e+00   4.25566e-02   9.31704e-05  -5.36608e-01
-   4  sg_p3        1.49222e+00   6.56863e-02   1.02809e-04  -6.10958e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.685e-01  1.563e-06  1.027e-02 -2.032e-02 
-  1.563e-06  1.932e-06 -3.692e-07 -9.768e-07 
-  1.027e-02 -3.692e-07  1.811e-03 -2.913e-04 
- -2.032e-02 -9.768e-07 -2.913e-04  4.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54648   1.000  0.002  0.353 -0.452
-        2  0.01305   0.002  1.000 -0.006 -0.011
-        3  0.35799   0.353 -0.006  1.000 -0.104
-        4  0.45593  -0.452 -0.011 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.59 +- 0.684411
-40 +- 0.33716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 1016.58 +- 0.810249 (stat) - 3.72609 + 1.73193 (syst); -3.74805/+1.77868 (total)
-   Uncertainty on sg_p1 = 40 +- 0.469104 (stat) - 0.190863 + 0 (syst); -0.302396/+0.234552 (total)
-   Uncertainty on sg_p2 = 1.2224 +- 0.0504194 (stat) - 0.0985888 + 0.0474949 (syst); -0.101761/+0.0537708 (total)
-   Uncertainty on sg_p3 = 1.49206 +- 0.0777461 (stat) - 0.0275125 + 0.0480377 (syst); -0.0476241/+0.0617959 (total)
-   === Baseline plot === </br>
-   norm = 330.727
-JEC     lnN   1.01006  -
-JER     lnN   1.0152  -
-btag    lnN   1.35523  -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt
deleted file mode 100644
index 76afcc1..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  2.47576 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06518    -
-JER       lnN     1.01484   - 
-JEC       lnN     1.02905   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02229693932   -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 259cbcf..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.8549 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.39547e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.33669e+01   1.80554e+00   2.71051e-03   4.30284e-06
-   2  Mean         9.99344e-01   2.90546e-03   5.44875e-06  -4.96208e-03
-   3  Sigma        2.22969e-02   2.61448e-03   6.50610e-05   1.72213e-05
-0.999344037733 +/- 0.0029054638886
-0.0222969393194 +/- 0.00261447795001
-PDF lnN 1.02229693932
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/signal550_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/signal550_sig.log
deleted file mode 100644
index 95176bb..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_crystal_1_550_1200/signal550_sig.log
+++ /dev/null
@@ -1,949 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   8.36856e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -2.13036e+02
-   3  sg_p2        9.96389e-01   5.00000e-01   0.00000e+00  -2.10001e+01
-   4  sg_p3        1.33793e+00   7.00000e-01  -6.65859e-01   1.43037e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05392 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM MIGRAD    STATUS=CONVERGED     433 CALLS         434 TOTAL
-                     EDM=1.19101e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.41842e+02   5.12497e-01   1.51068e-03   3.12657e-02
-   2  sg_p1        2.95617e+01   3.82692e-01   3.23918e-03   3.18610e-03
-   3  sg_p2        2.26823e+00   2.06532e-01   7.22656e-03  -7.81355e-04
-   4  sg_p3        3.13392e+00   1.77814e+00   6.15202e-02  -1.76290e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.627e-01  2.925e-03  9.483e-03 -3.748e-10 
-  2.925e-03  1.465e-01  1.367e-02 -4.881e-11 
-  9.483e-03  1.367e-02  4.275e-02 -1.530e-10 
- -3.748e-10 -4.881e-11 -1.530e-10  3.483e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08948   1.000  0.015  0.089 -0.000
-        2  0.17277   0.015  1.000  0.173 -0.000
-        3  0.19340   0.089  0.173  1.000 -0.000
-        4  0.00000  -0.000 -0.000 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM HESSE     STATUS=OK             29 CALLS         463 TOTAL
-                     EDM=3.87994e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.41842e+02   5.12297e-01   3.02136e-04   6.14367e-02
-   2  sg_p1        2.95617e+01   3.82068e-01   1.29567e-04   6.00358e-01
-   3  sg_p2        2.26823e+00   2.05837e-01   2.89062e-04  -9.28432e-02
-   4  sg_p3        3.13392e+00   6.62343e-01   3.58606e-01  -1.04787e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.625e-01  2.466e-03  8.976e-03  1.615e-11 
-  2.466e-03  1.460e-01  1.286e-02  2.313e-11 
-  8.976e-03  1.286e-02  4.247e-02  7.639e-11 
-  1.615e-11  2.313e-11  7.639e-11  4.441e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08503   1.000  0.013  0.085  0.000
-        2  0.16331   0.013  1.000  0.163  0.000
-        3  0.18317   0.085  0.163  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-541.842 +- 0.512297
-29.5617 +- 0.382068
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16779.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00  -8.37041e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.07475e+02
-   3  sg_p2        8.65799e-01   5.00000e-01   0.00000e+00  -7.40551e+01
-   4  sg_p3        1.35564e+00   7.00000e-01  -6.59439e-01   6.28488e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             27 CALLS         282 TOTAL
-                     EDM=0.102246    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44552e+02   5.08282e-01   1.52398e-03  -1.54852e-01
-   2  sg_p1        2.95922e+01   3.76777e-01   3.22494e-03  -3.69769e-02
-   3  sg_p2        2.45278e+00   3.27164e-01   1.16491e-02   1.26745e-02
-   4  sg_p3        3.35460e+00   1.18039e+00   3.11390e-01  -1.31335e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16685.9 FROM MIGRAD    STATUS=CONVERGED     295 CALLS         296 TOTAL
-                     EDM=2.81269e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44554e+02   5.08278e-01   4.34002e-05  -1.50856e-04
-   2  sg_p1        2.95926e+01   3.76767e-01   4.09576e-05  -4.62961e-04
-   3  sg_p2        2.45238e+00   3.27162e-01  -1.58660e-04  -1.77907e-03
-   4  sg_p3        3.89863e+00   1.17372e+00   1.55695e-01   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.584e-01  3.013e-03  1.443e-02  3.104e-05 
-  3.013e-03  1.420e-01  2.058e-02  5.573e-05 
-  1.443e-02  2.058e-02  1.077e-01  2.055e-04 
-  3.104e-05  5.573e-05  2.055e-04  1.433e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08655   1.000  0.016  0.087  0.000
-        2  0.16643   0.016  1.000  0.166  0.000
-        3  0.18640   0.087  0.166  1.000  0.001
-        4  0.00052   0.000  0.000  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             31 CALLS         327 TOTAL
-                     EDM=0.378043    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.44554e+02   5.08418e-01   1.52334e-03   1.52374e-01
-   2  sg_p1        2.95926e+01   3.77155e-01   1.28998e-03   6.03355e-01
-   3  sg_p2        2.45238e+00   3.27373e-01   4.65962e-03  -1.90491e-02
-   4  sg_p3        3.89863e+00   1.40113e+00   5.10000e-01   1.14141e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.585e-01  3.222e-03  1.491e-02  4.426e-12 
-  3.222e-03  1.423e-01  2.127e-02 -3.793e-11 
-  1.491e-02  2.127e-02  1.078e-01  3.265e-11 
-  4.426e-12 -3.793e-11  3.265e-11  2.080e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08933   1.000  0.017  0.089  0.000
-        2  0.17177   0.017  1.000  0.172 -0.000
-        3  0.19229   0.089  0.172  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-544.554 +- 0.508418
-29.5926 +- 0.377155
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15773.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   1.21147e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.80759e+02
-   3  sg_p2        1.10607e+00   5.00000e-01   0.00000e+00  -3.61854e+01
-   4  sg_p3        1.15878e+00   7.00000e-01  -7.32755e-01   8.10605e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.37034 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM MIGRAD    STATUS=CONVERGED     357 CALLS         358 TOTAL
-                     EDM=1.29397e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.39647e+02   5.17185e-01   1.48655e-03  -1.89345e-02
-   2  sg_p1        2.91881e+01   3.85671e-01   3.11579e-03   3.89872e-03
-   3  sg_p2        2.31906e+00   2.28533e-01   7.79945e-03  -3.76001e-04
-   4  sg_p3        3.12530e+00   1.84829e+00   8.28757e-02  -7.72724e-05
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.675e-01  1.706e-03  1.012e-02  1.242e-12 
-  1.706e-03  1.488e-01  1.489e-02  1.083e-10 
-  1.012e-02  1.489e-02  5.237e-02  1.084e-11 
-  1.242e-12  1.083e-10  1.084e-11  3.797e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08574   1.000  0.009  0.086  0.000
-        2  0.16875   0.009  1.000  0.169  0.000
-        3  0.18845   0.086  0.169  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM HESSE     STATUS=OK             27 CALLS         385 TOTAL
-                     EDM=0.802787    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.39647e+02   5.17333e-01   2.97309e-04  -1.17805e-02
-   2  sg_p1        2.91881e+01   3.86088e-01   1.24632e-04   5.64568e-01
-   3  sg_p2        2.31906e+00   2.28870e-01   3.11978e-04  -7.24379e-02
-   4  sg_p3        3.12530e+00   7.00822e-01   3.63374e-01  -1.07263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.677e-01  1.770e-03  1.052e-02  3.022e-11 
-  1.770e-03  1.491e-01  1.546e-02 -6.678e-11 
-  1.052e-02  1.546e-02  5.253e-02  4.080e-11 
-  3.022e-11 -6.678e-11  4.080e-11  4.979e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08899   1.000  0.009  0.089  0.000
-        2  0.17483   0.009  1.000  0.175 -0.000
-        3  0.19525   0.089  0.175  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-539.647 +- 0.517333
-29.1881 +- 0.386088
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14837.3 FROM MIGRAD    STATUS=INITIATE       51 CALLS          52 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.62915e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.92186e+02
-   3  sg_p2        1.33485e+00   5.00000e-01   0.00000e+00   1.12519e+02
-   4  sg_p3        1.63806e+00   7.00000e-01  -5.60940e-01   1.42255e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM MIGRAD    STATUS=CONVERGED     175 CALLS         176 TOTAL
-                     EDM=1.79394e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57153e+02   3.21384e-01   1.00803e-03  -2.87826e-01
-   2  sg_p1        1.59907e+01   2.94249e-01   1.95331e-03  -7.46933e-02
-   3  sg_p2        1.40719e+00   6.63431e-02   1.98696e-03   1.23037e-01
-   4  sg_p3        1.40947e+00   6.04329e-02   1.61506e-03   3.47616e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.033e-01  1.010e-02  6.404e-03 -2.894e-03 
-  1.010e-02  8.661e-02  1.063e-02  7.128e-03 
-  6.404e-03  1.063e-02  4.403e-03  8.132e-04 
- -2.894e-03  7.128e-03  8.132e-04  3.653e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36907   1.000  0.107  0.300 -0.149
-        2  0.62006   0.107  1.000  0.545  0.401
-        3  0.59757   0.300  0.545  1.000  0.203
-        4  0.44647  -0.149  0.401  0.203  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM HESSE     STATUS=OK             23 CALLS         199 TOTAL
-                     EDM=1.79239e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57153e+02   3.21538e-01   2.01606e-04   8.62318e-02
-   2  sg_p1        1.59907e+01   2.94927e-01   3.90662e-04   9.92360e-02
-   3  sg_p2        1.40719e+00   6.64804e-02   7.94782e-05  -4.52397e-01
-   4  sg_p3        1.40947e+00   6.05049e-02   6.46026e-05  -6.40123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.034e-01  1.015e-02  6.439e-03 -2.895e-03 
-  1.015e-02  8.701e-02  1.072e-02  7.193e-03 
-  6.439e-03  1.072e-02  4.421e-03  8.247e-04 
- -2.895e-03  7.193e-03  8.247e-04  3.661e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37018   1.000  0.107  0.301 -0.149
-        2  0.62233   0.107  1.000  0.547  0.403
-        3  0.59978   0.301  0.547  1.000  0.205
-        4  0.44859  -0.149  0.403  0.205  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.153 +- 0.321538
-15.9907 +- 0.294927
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.5 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -4.27508e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00   5.60673e+01
-   3  sg_p2        9.57872e-01   5.00000e-01   0.00000e+00  -1.96076e+02
-   4  sg_p3        1.43385e+00   7.00000e-01  -6.31466e-01   3.52996e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM MIGRAD    STATUS=CONVERGED     145 CALLS         146 TOTAL
-                     EDM=1.59039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58875e+02   3.28831e-01   1.01097e-03   2.51867e-01
-   2  sg_p1        1.50106e+01   3.27326e-01   1.94006e-03  -7.48907e-02
-   3  sg_p2        1.28146e+00   5.35843e-02   1.64296e-03  -7.25386e-02
-   4  sg_p3        1.13283e+00   5.00773e-02   1.24085e-03   1.93411e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.081e-01 -1.435e-02  2.668e-03 -5.685e-03 
- -1.435e-02  1.072e-01  9.872e-03  9.778e-03 
-  2.668e-03  9.872e-03  2.872e-03  8.529e-04 
- -5.685e-03  9.778e-03  8.529e-04  2.508e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44454   1.000 -0.133  0.151 -0.345
-        2  0.71564  -0.133  1.000  0.563  0.596
-        3  0.61000   0.151  0.563  1.000  0.318
-        4  0.65614  -0.345  0.596  0.318  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM HESSE     STATUS=OK             23 CALLS         169 TOTAL
-                     EDM=1.59031e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58875e+02   3.28953e-01   2.02195e-04   1.55611e-01
-   2  sg_p1        1.50106e+01   3.28179e-01   3.88013e-04   1.06416e-03
-   3  sg_p2        1.28146e+00   5.36907e-02   6.57184e-05  -5.09126e-01
-   4  sg_p3        1.13283e+00   5.01651e-02   2.48171e-04  -7.42776e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.082e-01 -1.448e-02  2.668e-03 -5.699e-03 
- -1.448e-02  1.077e-01  9.953e-03  9.852e-03 
-  2.668e-03  9.953e-03  2.883e-03  8.627e-04 
- -5.699e-03  9.852e-03  8.627e-04  2.517e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44521   1.000 -0.134  0.151 -0.345
-        2  0.71741  -0.134  1.000  0.565  0.598
-        3  0.61203   0.151  0.565  1.000  0.320
-        4  0.65766  -0.345  0.598  0.320  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.875 +- 0.328953
-15.0106 +- 0.328179
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14133.8 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.22550e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -8.95889e+01
-   3  sg_p2        1.26916e+00   5.00000e-01   0.00000e+00   3.67893e+01
-   4  sg_p3        1.35775e+00   7.00000e-01  -6.58678e-01  -5.62243e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM MIGRAD    STATUS=CONVERGED     210 CALLS         211 TOTAL
-                     EDM=0.000238073    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.56327e+02   3.14482e-01   9.83418e-04   8.55741e-01
-   2  sg_p1        1.57284e+01   2.76951e-01   1.90229e-03  -1.45089e-01
-   3  sg_p2        1.38542e+00   5.70093e-02   1.81418e-03   3.93447e-01
-   4  sg_p3        1.37775e+00   5.81896e-02   1.54738e-03   1.23982e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.890e-02  1.894e-03  3.842e-03 -3.325e-03 
-  1.894e-03  7.672e-02  7.163e-03  6.201e-03 
-  3.842e-03  7.163e-03  3.251e-03  5.637e-04 
- -3.325e-03  6.201e-03  5.637e-04  3.387e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30810   1.000  0.022  0.214 -0.182
-        2  0.55065   0.022  1.000  0.454  0.385
-        3  0.49896   0.214  0.454  1.000  0.170
-        4  0.43088  -0.182  0.385  0.170  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM HESSE     STATUS=OK             23 CALLS         234 TOTAL
-                     EDM=0.000238571    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.56327e+02   3.14566e-01   1.96684e-04   5.31070e-02
-   2  sg_p1        1.57284e+01   2.77362e-01   3.80459e-04   7.29003e-02
-   3  sg_p2        1.38542e+00   5.70763e-02   3.62837e-04  -4.62101e-01
-   4  sg_p3        1.37775e+00   5.82399e-02   3.09477e-04  -6.51471e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.896e-02  1.863e-03  3.856e-03 -3.331e-03 
-  1.863e-03  7.695e-02  7.208e-03  6.244e-03 
-  3.856e-03  7.208e-03  3.258e-03  5.699e-04 
- -3.331e-03  6.244e-03  5.699e-04  3.392e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30889   1.000  0.021  0.215 -0.182
-        2  0.55252   0.021  1.000  0.455  0.386
-        3  0.50072   0.215  0.455  1.000  0.171
-        4  0.43251  -0.182  0.386  0.171  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-556.327 +- 0.314566
-15.7284 +- 0.277362
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14534.5 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.04994e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.14427e+02
-   3  sg_p2        1.18464e+00   5.00000e-01   0.00000e+00   9.96830e+01
-   4  sg_p3        1.38937e+00   7.00000e-01  -6.47305e-01   1.30603e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM MIGRAD    STATUS=CONVERGED     185 CALLS         186 TOTAL
-                     EDM=5.50119e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58137e+02   3.32100e-01   9.95556e-04   1.68841e-01
-   2  sg_p1        1.48812e+01   3.22440e-01   1.91611e-03   3.95624e-02
-   3  sg_p2        1.27842e+00   5.09588e-02   1.60067e-03  -7.54823e-02
-   4  sg_p3        1.11410e+00   4.98337e-02   1.21814e-03   6.18485e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.103e-01 -2.020e-02  1.794e-03 -6.256e-03 
- -2.020e-02  1.040e-01  8.614e-03  9.577e-03 
-  1.794e-03  8.614e-03  2.597e-03  7.646e-04 
- -6.256e-03  9.577e-03  7.646e-04  2.484e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44749   1.000 -0.189  0.106 -0.378
-        2  0.69890  -0.189  1.000  0.524  0.596
-        3  0.56724   0.106  0.524  1.000  0.301
-        4  0.65666  -0.378  0.596  0.301  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM HESSE     STATUS=OK             23 CALLS         209 TOTAL
-                     EDM=5.49735e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58137e+02   3.32253e-01   1.99111e-04   1.25809e-01
-   2  sg_p1        1.48812e+01   3.23301e-01   7.66446e-05  -1.18793e-02
-   3  sg_p2        1.27842e+00   5.10516e-02   6.40269e-05  -5.10521e-01
-   4  sg_p3        1.11410e+00   4.99281e-02   4.87255e-05  -7.50065e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.104e-01 -2.039e-02  1.786e-03 -6.279e-03 
- -2.039e-02  1.046e-01  8.688e-03  9.654e-03 
-  1.786e-03  8.688e-03  2.607e-03  7.739e-04 
- -6.279e-03  9.654e-03  7.739e-04  2.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44831   1.000 -0.190  0.105 -0.378
-        2  0.70084  -0.190  1.000  0.526  0.598
-        3  0.56941   0.105  0.526  1.000  0.304
-        4  0.65830  -0.378  0.598  0.304  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.137 +- 0.332253
-14.8812 +- 0.323301
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14860.1 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.96476e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.39102e+02
-   3  sg_p2        1.31219e+00   5.00000e-01   0.00000e+00   8.51723e+01
-   4  sg_p3        1.40309e+00   7.00000e-01  -6.42399e-01  -3.16309e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=2.32867e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57839e+02   3.16310e-01   9.64235e-04  -9.53938e-03
-   2  sg_p1        1.45911e+01   3.04213e-01   1.85567e-03  -1.11765e-02
-   3  sg_p2        1.30884e+00   5.20626e-02   1.65224e-03   2.13112e-02
-   4  sg_p3        1.13165e+00   4.90247e-02   1.22393e-03   1.25630e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.679e-02  1.892e-03 -5.645e-03 
- -1.679e-02  9.257e-02  8.162e-03  8.712e-03 
-  1.892e-03  8.162e-03  2.711e-03  7.376e-04 
- -5.645e-03  8.712e-03  7.376e-04  2.404e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43494   1.000 -0.174  0.115 -0.364
-        2  0.68887  -0.174  1.000  0.515  0.584
-        3  0.55849   0.115  0.515  1.000  0.289
-        4  0.64393  -0.364  0.584  0.289  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM HESSE     STATUS=OK             23 CALLS         230 TOTAL
-                     EDM=2.3344e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57839e+02   3.16455e-01   3.85694e-05   1.13812e-01
-   2  sg_p1        1.45911e+01   3.05011e-01   7.42270e-05  -4.09030e-02
-   3  sg_p2        1.30884e+00   5.21549e-02   6.60897e-05  -4.96630e-01
-   4  sg_p3        1.13165e+00   4.91147e-02   4.89571e-05  -7.43231e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.696e-02  1.886e-03 -5.665e-03 
- -1.696e-02  9.306e-02  8.232e-03  8.781e-03 
-  1.886e-03  8.232e-03  2.721e-03  7.467e-04 
- -5.665e-03  8.781e-03  7.467e-04  2.413e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43580   1.000 -0.176  0.114 -0.364
-        2  0.69086  -0.176  1.000  0.517  0.586
-        3  0.56066   0.114  0.517  1.000  0.291
-        4  0.64559  -0.364  0.586  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.839 +- 0.316455
-14.5911 +- 0.305011
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13882.6 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.85565e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -4.99994e+01
-   3  sg_p2        1.14901e+00   5.00000e-01  -8.51477e-02   2.28635e+00
-   4  sg_p3        1.41391e+00   7.00000e-01   0.00000e+00   1.79604e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=1.65564e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57980e+02   3.34363e-01   9.81953e-04   6.44675e-02
-   2  sg_p1        1.47979e+01   3.20681e-01   1.89110e-03   8.04335e-02
-   3  sg_p2        1.31085e+00   5.36609e-02   1.65482e-03  -1.47147e-01
-   4  sg_p3        1.12068e+00   5.06777e-02   1.22086e-03   1.27989e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.118e-01 -2.084e-02  1.817e-03 -6.408e-03 
- -2.084e-02  1.029e-01  8.748e-03  9.557e-03 
-  1.817e-03  8.748e-03  2.880e-03  7.828e-04 
- -6.408e-03  9.557e-03  7.828e-04  2.569e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44246   1.000 -0.194  0.101 -0.378
-        2  0.68849  -0.194  1.000  0.508  0.588
-        3  0.55062   0.101  0.508  1.000  0.288
-        4  0.64866  -0.378  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=1.65875e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57980e+02   3.34499e-01   1.96391e-04   1.19503e-01
-   2  sg_p1        1.47979e+01   3.21384e-01   3.78219e-04  -2.02134e-02
-   3  sg_p2        1.31085e+00   5.37405e-02   3.30963e-04  -4.95716e-01
-   4  sg_p3        1.12068e+00   5.07549e-02   2.44171e-04  -7.47499e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.119e-01 -2.101e-02  1.811e-03 -6.428e-03 
- -2.101e-02  1.033e-01  8.812e-03  9.620e-03 
-  1.811e-03  8.812e-03  2.889e-03  7.908e-04 
- -6.428e-03  9.620e-03  7.908e-04  2.576e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44320   1.000 -0.195  0.101 -0.379
-        2  0.69016  -0.195  1.000  0.510  0.590
-        3  0.55249   0.101  0.510  1.000  0.290
-        4  0.65002  -0.379  0.590  0.290  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.98 +- 0.334499
-14.7979 +- 0.321384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15819.8 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.00618e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.06424e+02
-   3  sg_p2        1.24250e+00   5.00000e-01   0.00000e+00   8.72112e+01
-   4  sg_p3        1.58707e+00   7.00000e-01  -5.78240e-01   1.36356e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=3.72733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57991e+02   3.13470e-01   9.81807e-04   1.43269e-02
-   2  sg_p1        1.48025e+01   3.00871e-01   1.88933e-03   1.01623e-01
-   3  sg_p2        1.30793e+00   5.01308e-02   1.66000e-03  -7.41075e-02
-   4  sg_p3        1.12096e+00   4.75155e-02   1.22457e-03  -3.73256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.827e-02 -1.818e-02  1.608e-03 -5.619e-03 
- -1.818e-02  9.055e-02  7.685e-03  8.406e-03 
-  1.608e-03  7.685e-03  2.514e-03  6.873e-04 
- -5.619e-03  8.406e-03  6.873e-04  2.258e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44218   1.000 -0.193  0.102 -0.377
-        2  0.68889  -0.193  1.000  0.509  0.588
-        3  0.55187   0.102  0.509  1.000  0.288
-        4  0.64863  -0.377  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=3.72671e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57991e+02   3.13600e-01   1.96361e-04   1.19946e-01
-   2  sg_p1        1.48025e+01   3.01553e-01   3.77865e-04  -1.97513e-02
-   3  sg_p2        1.30793e+00   5.02105e-02   6.64000e-05  -4.97043e-01
-   4  sg_p3        1.12096e+00   4.75893e-02   2.44915e-04  -7.47388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.835e-02 -1.832e-02  1.604e-03 -5.636e-03 
- -1.832e-02  9.096e-02  7.744e-03  8.463e-03 
-  1.604e-03  7.744e-03  2.522e-03  6.946e-04 
- -5.636e-03  8.463e-03  6.946e-04  2.265e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44293   1.000 -0.194  0.102 -0.378
-        2  0.69061  -0.194  1.000  0.511  0.590
-        3  0.55387   0.102  0.511  1.000  0.291
-        4  0.65001  -0.378  0.590  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.991 +- 0.3136
-14.8025 +- 0.301553
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 557.153 +- 0.321538 (stat) - 0.826073 + 1.72147 (syst); -0.841572/+1.72896 (total)
-   Uncertainty on sg_p1 = 15.9907 +- 0.294927 (stat) - 1.39965 + 0 (syst); -1.40739/+0.147463 (total)
-   Uncertainty on sg_p2 = 1.40719 +- 0.0664804 (stat) - 0.128774 + 0 (syst); -0.132995/+0.0332402 (total)
-   Uncertainty on sg_p3 = 1.40947 +- 0.0605049 (stat) - 0.295372 + 0 (syst); -0.296917/+0.0302524 (total)
-   === Baseline plot === </br>
-   norm = 123.788
-JEC     lnN   1.02905  -
-JER     lnN   1.01484  -
-btag    lnN   1.06518  -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
deleted file mode 100644
index bb72e45..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  2.47576 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06518    -
-JER       lnN     1.01484   - 
-JEC       lnN     1.02905   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02229693932   -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/pdf.log
deleted file mode 100644
index 259cbcf..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.8549 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.39547e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.33669e+01   1.80554e+00   2.71051e-03   4.30284e-06
-   2  Mean         9.99344e-01   2.90546e-03   5.44875e-06  -4.96208e-03
-   3  Sigma        2.22969e-02   2.61448e-03   6.50610e-05   1.72213e-05
-0.999344037733 +/- 0.0029054638886
-0.0222969393194 +/- 0.00261447795001
-PDF lnN 1.02229693932
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/signal550_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/signal550_sig.log
deleted file mode 100644
index 95176bb..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_550_novo_550_1200/signal550_sig.log
+++ /dev/null
@@ -1,949 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   8.36856e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -2.13036e+02
-   3  sg_p2        9.96389e-01   5.00000e-01   0.00000e+00  -2.10001e+01
-   4  sg_p3        1.33793e+00   7.00000e-01  -6.65859e-01   1.43037e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05392 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM MIGRAD    STATUS=CONVERGED     433 CALLS         434 TOTAL
-                     EDM=1.19101e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.41842e+02   5.12497e-01   1.51068e-03   3.12657e-02
-   2  sg_p1        2.95617e+01   3.82692e-01   3.23918e-03   3.18610e-03
-   3  sg_p2        2.26823e+00   2.06532e-01   7.22656e-03  -7.81355e-04
-   4  sg_p3        3.13392e+00   1.77814e+00   6.15202e-02  -1.76290e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.627e-01  2.925e-03  9.483e-03 -3.748e-10 
-  2.925e-03  1.465e-01  1.367e-02 -4.881e-11 
-  9.483e-03  1.367e-02  4.275e-02 -1.530e-10 
- -3.748e-10 -4.881e-11 -1.530e-10  3.483e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08948   1.000  0.015  0.089 -0.000
-        2  0.17277   0.015  1.000  0.173 -0.000
-        3  0.19340   0.089  0.173  1.000 -0.000
-        4  0.00000  -0.000 -0.000 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM HESSE     STATUS=OK             29 CALLS         463 TOTAL
-                     EDM=3.87994e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.41842e+02   5.12297e-01   3.02136e-04   6.14367e-02
-   2  sg_p1        2.95617e+01   3.82068e-01   1.29567e-04   6.00358e-01
-   3  sg_p2        2.26823e+00   2.05837e-01   2.89062e-04  -9.28432e-02
-   4  sg_p3        3.13392e+00   6.62343e-01   3.58606e-01  -1.04787e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.625e-01  2.466e-03  8.976e-03  1.615e-11 
-  2.466e-03  1.460e-01  1.286e-02  2.313e-11 
-  8.976e-03  1.286e-02  4.247e-02  7.639e-11 
-  1.615e-11  2.313e-11  7.639e-11  4.441e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08503   1.000  0.013  0.085  0.000
-        2  0.16331   0.013  1.000  0.163  0.000
-        3  0.18317   0.085  0.163  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-541.842 +- 0.512297
-29.5617 +- 0.382068
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16779.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00  -8.37041e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.07475e+02
-   3  sg_p2        8.65799e-01   5.00000e-01   0.00000e+00  -7.40551e+01
-   4  sg_p3        1.35564e+00   7.00000e-01  -6.59439e-01   6.28488e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             27 CALLS         282 TOTAL
-                     EDM=0.102246    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44552e+02   5.08282e-01   1.52398e-03  -1.54852e-01
-   2  sg_p1        2.95922e+01   3.76777e-01   3.22494e-03  -3.69769e-02
-   3  sg_p2        2.45278e+00   3.27164e-01   1.16491e-02   1.26745e-02
-   4  sg_p3        3.35460e+00   1.18039e+00   3.11390e-01  -1.31335e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16685.9 FROM MIGRAD    STATUS=CONVERGED     295 CALLS         296 TOTAL
-                     EDM=2.81269e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44554e+02   5.08278e-01   4.34002e-05  -1.50856e-04
-   2  sg_p1        2.95926e+01   3.76767e-01   4.09576e-05  -4.62961e-04
-   3  sg_p2        2.45238e+00   3.27162e-01  -1.58660e-04  -1.77907e-03
-   4  sg_p3        3.89863e+00   1.17372e+00   1.55695e-01   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.584e-01  3.013e-03  1.443e-02  3.104e-05 
-  3.013e-03  1.420e-01  2.058e-02  5.573e-05 
-  1.443e-02  2.058e-02  1.077e-01  2.055e-04 
-  3.104e-05  5.573e-05  2.055e-04  1.433e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08655   1.000  0.016  0.087  0.000
-        2  0.16643   0.016  1.000  0.166  0.000
-        3  0.18640   0.087  0.166  1.000  0.001
-        4  0.00052   0.000  0.000  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             31 CALLS         327 TOTAL
-                     EDM=0.378043    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.44554e+02   5.08418e-01   1.52334e-03   1.52374e-01
-   2  sg_p1        2.95926e+01   3.77155e-01   1.28998e-03   6.03355e-01
-   3  sg_p2        2.45238e+00   3.27373e-01   4.65962e-03  -1.90491e-02
-   4  sg_p3        3.89863e+00   1.40113e+00   5.10000e-01   1.14141e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.585e-01  3.222e-03  1.491e-02  4.426e-12 
-  3.222e-03  1.423e-01  2.127e-02 -3.793e-11 
-  1.491e-02  2.127e-02  1.078e-01  3.265e-11 
-  4.426e-12 -3.793e-11  3.265e-11  2.080e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08933   1.000  0.017  0.089  0.000
-        2  0.17177   0.017  1.000  0.172 -0.000
-        3  0.19229   0.089  0.172  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-544.554 +- 0.508418
-29.5926 +- 0.377155
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15773.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   1.21147e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.80759e+02
-   3  sg_p2        1.10607e+00   5.00000e-01   0.00000e+00  -3.61854e+01
-   4  sg_p3        1.15878e+00   7.00000e-01  -7.32755e-01   8.10605e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.37034 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM MIGRAD    STATUS=CONVERGED     357 CALLS         358 TOTAL
-                     EDM=1.29397e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.39647e+02   5.17185e-01   1.48655e-03  -1.89345e-02
-   2  sg_p1        2.91881e+01   3.85671e-01   3.11579e-03   3.89872e-03
-   3  sg_p2        2.31906e+00   2.28533e-01   7.79945e-03  -3.76001e-04
-   4  sg_p3        3.12530e+00   1.84829e+00   8.28757e-02  -7.72724e-05
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.675e-01  1.706e-03  1.012e-02  1.242e-12 
-  1.706e-03  1.488e-01  1.489e-02  1.083e-10 
-  1.012e-02  1.489e-02  5.237e-02  1.084e-11 
-  1.242e-12  1.083e-10  1.084e-11  3.797e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08574   1.000  0.009  0.086  0.000
-        2  0.16875   0.009  1.000  0.169  0.000
-        3  0.18845   0.086  0.169  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM HESSE     STATUS=OK             27 CALLS         385 TOTAL
-                     EDM=0.802787    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.39647e+02   5.17333e-01   2.97309e-04  -1.17805e-02
-   2  sg_p1        2.91881e+01   3.86088e-01   1.24632e-04   5.64568e-01
-   3  sg_p2        2.31906e+00   2.28870e-01   3.11978e-04  -7.24379e-02
-   4  sg_p3        3.12530e+00   7.00822e-01   3.63374e-01  -1.07263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.677e-01  1.770e-03  1.052e-02  3.022e-11 
-  1.770e-03  1.491e-01  1.546e-02 -6.678e-11 
-  1.052e-02  1.546e-02  5.253e-02  4.080e-11 
-  3.022e-11 -6.678e-11  4.080e-11  4.979e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08899   1.000  0.009  0.089  0.000
-        2  0.17483   0.009  1.000  0.175 -0.000
-        3  0.19525   0.089  0.175  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-539.647 +- 0.517333
-29.1881 +- 0.386088
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14837.3 FROM MIGRAD    STATUS=INITIATE       51 CALLS          52 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.62915e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.92186e+02
-   3  sg_p2        1.33485e+00   5.00000e-01   0.00000e+00   1.12519e+02
-   4  sg_p3        1.63806e+00   7.00000e-01  -5.60940e-01   1.42255e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM MIGRAD    STATUS=CONVERGED     175 CALLS         176 TOTAL
-                     EDM=1.79394e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57153e+02   3.21384e-01   1.00803e-03  -2.87826e-01
-   2  sg_p1        1.59907e+01   2.94249e-01   1.95331e-03  -7.46933e-02
-   3  sg_p2        1.40719e+00   6.63431e-02   1.98696e-03   1.23037e-01
-   4  sg_p3        1.40947e+00   6.04329e-02   1.61506e-03   3.47616e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.033e-01  1.010e-02  6.404e-03 -2.894e-03 
-  1.010e-02  8.661e-02  1.063e-02  7.128e-03 
-  6.404e-03  1.063e-02  4.403e-03  8.132e-04 
- -2.894e-03  7.128e-03  8.132e-04  3.653e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36907   1.000  0.107  0.300 -0.149
-        2  0.62006   0.107  1.000  0.545  0.401
-        3  0.59757   0.300  0.545  1.000  0.203
-        4  0.44647  -0.149  0.401  0.203  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM HESSE     STATUS=OK             23 CALLS         199 TOTAL
-                     EDM=1.79239e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57153e+02   3.21538e-01   2.01606e-04   8.62318e-02
-   2  sg_p1        1.59907e+01   2.94927e-01   3.90662e-04   9.92360e-02
-   3  sg_p2        1.40719e+00   6.64804e-02   7.94782e-05  -4.52397e-01
-   4  sg_p3        1.40947e+00   6.05049e-02   6.46026e-05  -6.40123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.034e-01  1.015e-02  6.439e-03 -2.895e-03 
-  1.015e-02  8.701e-02  1.072e-02  7.193e-03 
-  6.439e-03  1.072e-02  4.421e-03  8.247e-04 
- -2.895e-03  7.193e-03  8.247e-04  3.661e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37018   1.000  0.107  0.301 -0.149
-        2  0.62233   0.107  1.000  0.547  0.403
-        3  0.59978   0.301  0.547  1.000  0.205
-        4  0.44859  -0.149  0.403  0.205  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.153 +- 0.321538
-15.9907 +- 0.294927
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.5 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -4.27508e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00   5.60673e+01
-   3  sg_p2        9.57872e-01   5.00000e-01   0.00000e+00  -1.96076e+02
-   4  sg_p3        1.43385e+00   7.00000e-01  -6.31466e-01   3.52996e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM MIGRAD    STATUS=CONVERGED     145 CALLS         146 TOTAL
-                     EDM=1.59039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58875e+02   3.28831e-01   1.01097e-03   2.51867e-01
-   2  sg_p1        1.50106e+01   3.27326e-01   1.94006e-03  -7.48907e-02
-   3  sg_p2        1.28146e+00   5.35843e-02   1.64296e-03  -7.25386e-02
-   4  sg_p3        1.13283e+00   5.00773e-02   1.24085e-03   1.93411e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.081e-01 -1.435e-02  2.668e-03 -5.685e-03 
- -1.435e-02  1.072e-01  9.872e-03  9.778e-03 
-  2.668e-03  9.872e-03  2.872e-03  8.529e-04 
- -5.685e-03  9.778e-03  8.529e-04  2.508e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44454   1.000 -0.133  0.151 -0.345
-        2  0.71564  -0.133  1.000  0.563  0.596
-        3  0.61000   0.151  0.563  1.000  0.318
-        4  0.65614  -0.345  0.596  0.318  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM HESSE     STATUS=OK             23 CALLS         169 TOTAL
-                     EDM=1.59031e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58875e+02   3.28953e-01   2.02195e-04   1.55611e-01
-   2  sg_p1        1.50106e+01   3.28179e-01   3.88013e-04   1.06416e-03
-   3  sg_p2        1.28146e+00   5.36907e-02   6.57184e-05  -5.09126e-01
-   4  sg_p3        1.13283e+00   5.01651e-02   2.48171e-04  -7.42776e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.082e-01 -1.448e-02  2.668e-03 -5.699e-03 
- -1.448e-02  1.077e-01  9.953e-03  9.852e-03 
-  2.668e-03  9.953e-03  2.883e-03  8.627e-04 
- -5.699e-03  9.852e-03  8.627e-04  2.517e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44521   1.000 -0.134  0.151 -0.345
-        2  0.71741  -0.134  1.000  0.565  0.598
-        3  0.61203   0.151  0.565  1.000  0.320
-        4  0.65766  -0.345  0.598  0.320  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.875 +- 0.328953
-15.0106 +- 0.328179
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14133.8 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.22550e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -8.95889e+01
-   3  sg_p2        1.26916e+00   5.00000e-01   0.00000e+00   3.67893e+01
-   4  sg_p3        1.35775e+00   7.00000e-01  -6.58678e-01  -5.62243e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM MIGRAD    STATUS=CONVERGED     210 CALLS         211 TOTAL
-                     EDM=0.000238073    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.56327e+02   3.14482e-01   9.83418e-04   8.55741e-01
-   2  sg_p1        1.57284e+01   2.76951e-01   1.90229e-03  -1.45089e-01
-   3  sg_p2        1.38542e+00   5.70093e-02   1.81418e-03   3.93447e-01
-   4  sg_p3        1.37775e+00   5.81896e-02   1.54738e-03   1.23982e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.890e-02  1.894e-03  3.842e-03 -3.325e-03 
-  1.894e-03  7.672e-02  7.163e-03  6.201e-03 
-  3.842e-03  7.163e-03  3.251e-03  5.637e-04 
- -3.325e-03  6.201e-03  5.637e-04  3.387e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30810   1.000  0.022  0.214 -0.182
-        2  0.55065   0.022  1.000  0.454  0.385
-        3  0.49896   0.214  0.454  1.000  0.170
-        4  0.43088  -0.182  0.385  0.170  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM HESSE     STATUS=OK             23 CALLS         234 TOTAL
-                     EDM=0.000238571    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.56327e+02   3.14566e-01   1.96684e-04   5.31070e-02
-   2  sg_p1        1.57284e+01   2.77362e-01   3.80459e-04   7.29003e-02
-   3  sg_p2        1.38542e+00   5.70763e-02   3.62837e-04  -4.62101e-01
-   4  sg_p3        1.37775e+00   5.82399e-02   3.09477e-04  -6.51471e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.896e-02  1.863e-03  3.856e-03 -3.331e-03 
-  1.863e-03  7.695e-02  7.208e-03  6.244e-03 
-  3.856e-03  7.208e-03  3.258e-03  5.699e-04 
- -3.331e-03  6.244e-03  5.699e-04  3.392e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30889   1.000  0.021  0.215 -0.182
-        2  0.55252   0.021  1.000  0.455  0.386
-        3  0.50072   0.215  0.455  1.000  0.171
-        4  0.43251  -0.182  0.386  0.171  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-556.327 +- 0.314566
-15.7284 +- 0.277362
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14534.5 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.04994e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.14427e+02
-   3  sg_p2        1.18464e+00   5.00000e-01   0.00000e+00   9.96830e+01
-   4  sg_p3        1.38937e+00   7.00000e-01  -6.47305e-01   1.30603e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM MIGRAD    STATUS=CONVERGED     185 CALLS         186 TOTAL
-                     EDM=5.50119e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58137e+02   3.32100e-01   9.95556e-04   1.68841e-01
-   2  sg_p1        1.48812e+01   3.22440e-01   1.91611e-03   3.95624e-02
-   3  sg_p2        1.27842e+00   5.09588e-02   1.60067e-03  -7.54823e-02
-   4  sg_p3        1.11410e+00   4.98337e-02   1.21814e-03   6.18485e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.103e-01 -2.020e-02  1.794e-03 -6.256e-03 
- -2.020e-02  1.040e-01  8.614e-03  9.577e-03 
-  1.794e-03  8.614e-03  2.597e-03  7.646e-04 
- -6.256e-03  9.577e-03  7.646e-04  2.484e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44749   1.000 -0.189  0.106 -0.378
-        2  0.69890  -0.189  1.000  0.524  0.596
-        3  0.56724   0.106  0.524  1.000  0.301
-        4  0.65666  -0.378  0.596  0.301  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM HESSE     STATUS=OK             23 CALLS         209 TOTAL
-                     EDM=5.49735e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58137e+02   3.32253e-01   1.99111e-04   1.25809e-01
-   2  sg_p1        1.48812e+01   3.23301e-01   7.66446e-05  -1.18793e-02
-   3  sg_p2        1.27842e+00   5.10516e-02   6.40269e-05  -5.10521e-01
-   4  sg_p3        1.11410e+00   4.99281e-02   4.87255e-05  -7.50065e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.104e-01 -2.039e-02  1.786e-03 -6.279e-03 
- -2.039e-02  1.046e-01  8.688e-03  9.654e-03 
-  1.786e-03  8.688e-03  2.607e-03  7.739e-04 
- -6.279e-03  9.654e-03  7.739e-04  2.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44831   1.000 -0.190  0.105 -0.378
-        2  0.70084  -0.190  1.000  0.526  0.598
-        3  0.56941   0.105  0.526  1.000  0.304
-        4  0.65830  -0.378  0.598  0.304  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.137 +- 0.332253
-14.8812 +- 0.323301
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14860.1 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.96476e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.39102e+02
-   3  sg_p2        1.31219e+00   5.00000e-01   0.00000e+00   8.51723e+01
-   4  sg_p3        1.40309e+00   7.00000e-01  -6.42399e-01  -3.16309e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=2.32867e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57839e+02   3.16310e-01   9.64235e-04  -9.53938e-03
-   2  sg_p1        1.45911e+01   3.04213e-01   1.85567e-03  -1.11765e-02
-   3  sg_p2        1.30884e+00   5.20626e-02   1.65224e-03   2.13112e-02
-   4  sg_p3        1.13165e+00   4.90247e-02   1.22393e-03   1.25630e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.679e-02  1.892e-03 -5.645e-03 
- -1.679e-02  9.257e-02  8.162e-03  8.712e-03 
-  1.892e-03  8.162e-03  2.711e-03  7.376e-04 
- -5.645e-03  8.712e-03  7.376e-04  2.404e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43494   1.000 -0.174  0.115 -0.364
-        2  0.68887  -0.174  1.000  0.515  0.584
-        3  0.55849   0.115  0.515  1.000  0.289
-        4  0.64393  -0.364  0.584  0.289  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM HESSE     STATUS=OK             23 CALLS         230 TOTAL
-                     EDM=2.3344e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57839e+02   3.16455e-01   3.85694e-05   1.13812e-01
-   2  sg_p1        1.45911e+01   3.05011e-01   7.42270e-05  -4.09030e-02
-   3  sg_p2        1.30884e+00   5.21549e-02   6.60897e-05  -4.96630e-01
-   4  sg_p3        1.13165e+00   4.91147e-02   4.89571e-05  -7.43231e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.696e-02  1.886e-03 -5.665e-03 
- -1.696e-02  9.306e-02  8.232e-03  8.781e-03 
-  1.886e-03  8.232e-03  2.721e-03  7.467e-04 
- -5.665e-03  8.781e-03  7.467e-04  2.413e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43580   1.000 -0.176  0.114 -0.364
-        2  0.69086  -0.176  1.000  0.517  0.586
-        3  0.56066   0.114  0.517  1.000  0.291
-        4  0.64559  -0.364  0.586  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.839 +- 0.316455
-14.5911 +- 0.305011
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13882.6 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.85565e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -4.99994e+01
-   3  sg_p2        1.14901e+00   5.00000e-01  -8.51477e-02   2.28635e+00
-   4  sg_p3        1.41391e+00   7.00000e-01   0.00000e+00   1.79604e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=1.65564e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57980e+02   3.34363e-01   9.81953e-04   6.44675e-02
-   2  sg_p1        1.47979e+01   3.20681e-01   1.89110e-03   8.04335e-02
-   3  sg_p2        1.31085e+00   5.36609e-02   1.65482e-03  -1.47147e-01
-   4  sg_p3        1.12068e+00   5.06777e-02   1.22086e-03   1.27989e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.118e-01 -2.084e-02  1.817e-03 -6.408e-03 
- -2.084e-02  1.029e-01  8.748e-03  9.557e-03 
-  1.817e-03  8.748e-03  2.880e-03  7.828e-04 
- -6.408e-03  9.557e-03  7.828e-04  2.569e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44246   1.000 -0.194  0.101 -0.378
-        2  0.68849  -0.194  1.000  0.508  0.588
-        3  0.55062   0.101  0.508  1.000  0.288
-        4  0.64866  -0.378  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=1.65875e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57980e+02   3.34499e-01   1.96391e-04   1.19503e-01
-   2  sg_p1        1.47979e+01   3.21384e-01   3.78219e-04  -2.02134e-02
-   3  sg_p2        1.31085e+00   5.37405e-02   3.30963e-04  -4.95716e-01
-   4  sg_p3        1.12068e+00   5.07549e-02   2.44171e-04  -7.47499e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.119e-01 -2.101e-02  1.811e-03 -6.428e-03 
- -2.101e-02  1.033e-01  8.812e-03  9.620e-03 
-  1.811e-03  8.812e-03  2.889e-03  7.908e-04 
- -6.428e-03  9.620e-03  7.908e-04  2.576e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44320   1.000 -0.195  0.101 -0.379
-        2  0.69016  -0.195  1.000  0.510  0.590
-        3  0.55249   0.101  0.510  1.000  0.290
-        4  0.65002  -0.379  0.590  0.290  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.98 +- 0.334499
-14.7979 +- 0.321384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15819.8 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.00618e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.06424e+02
-   3  sg_p2        1.24250e+00   5.00000e-01   0.00000e+00   8.72112e+01
-   4  sg_p3        1.58707e+00   7.00000e-01  -5.78240e-01   1.36356e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=3.72733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57991e+02   3.13470e-01   9.81807e-04   1.43269e-02
-   2  sg_p1        1.48025e+01   3.00871e-01   1.88933e-03   1.01623e-01
-   3  sg_p2        1.30793e+00   5.01308e-02   1.66000e-03  -7.41075e-02
-   4  sg_p3        1.12096e+00   4.75155e-02   1.22457e-03  -3.73256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.827e-02 -1.818e-02  1.608e-03 -5.619e-03 
- -1.818e-02  9.055e-02  7.685e-03  8.406e-03 
-  1.608e-03  7.685e-03  2.514e-03  6.873e-04 
- -5.619e-03  8.406e-03  6.873e-04  2.258e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44218   1.000 -0.193  0.102 -0.377
-        2  0.68889  -0.193  1.000  0.509  0.588
-        3  0.55187   0.102  0.509  1.000  0.288
-        4  0.64863  -0.377  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=3.72671e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57991e+02   3.13600e-01   1.96361e-04   1.19946e-01
-   2  sg_p1        1.48025e+01   3.01553e-01   3.77865e-04  -1.97513e-02
-   3  sg_p2        1.30793e+00   5.02105e-02   6.64000e-05  -4.97043e-01
-   4  sg_p3        1.12096e+00   4.75893e-02   2.44915e-04  -7.47388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.835e-02 -1.832e-02  1.604e-03 -5.636e-03 
- -1.832e-02  9.096e-02  7.744e-03  8.463e-03 
-  1.604e-03  7.744e-03  2.522e-03  6.946e-04 
- -5.636e-03  8.463e-03  6.946e-04  2.265e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44293   1.000 -0.194  0.102 -0.378
-        2  0.69061  -0.194  1.000  0.511  0.590
-        3  0.55387   0.102  0.511  1.000  0.291
-        4  0.65001  -0.378  0.590  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.991 +- 0.3136
-14.8025 +- 0.301553
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 557.153 +- 0.321538 (stat) - 0.826073 + 1.72147 (syst); -0.841572/+1.72896 (total)
-   Uncertainty on sg_p1 = 15.9907 +- 0.294927 (stat) - 1.39965 + 0 (syst); -1.40739/+0.147463 (total)
-   Uncertainty on sg_p2 = 1.40719 +- 0.0664804 (stat) - 0.128774 + 0 (syst); -0.132995/+0.0332402 (total)
-   Uncertainty on sg_p3 = 1.40947 +- 0.0605049 (stat) - 0.295372 + 0 (syst); -0.296917/+0.0302524 (total)
-   === Baseline plot === </br>
-   norm = 123.788
-JEC     lnN   1.02905  -
-JER     lnN   1.01484  -
-btag    lnN   1.06518  -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt
deleted file mode 100644
index fe3b242..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.01596 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06702    -
-JER       lnN     1.01328   - 
-JEC       lnN     1.02779   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0229477477   -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 1900262..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.9498 FROM MIGRAD    STATUS=CONVERGED      71 CALLS          72 TOTAL
-                     EDM=6.95637e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.30566e+01   1.77733e+00   2.65488e-03   2.23742e-05
-   2  Mean         1.00046e+00   3.03346e-03   5.72003e-06   3.78371e-01
-   3  Sigma        2.29477e-02   2.84199e-03   6.88862e-05   6.32201e-03
-1.00046088083 +/- 0.0030334648545
-0.0229477477015 +/- 0.00284199080585
-PDF lnN 1.0229477477
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/signal600_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/signal600_sig.log
deleted file mode 100644
index 2b9a4cd..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_crystal_1_550_1200/signal600_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20407.2 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.37960e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.20569e+02
-   3  sg_p2        9.48780e-01   5.00000e-01   0.00000e+00   2.19249e+02
-   4  sg_p3        9.35752e-01   7.00000e-01  -8.22196e-01  -2.16926e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM MIGRAD    STATUS=CONVERGED     258 CALLS         259 TOTAL
-                     EDM=3.54203e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92104e+02   4.94229e-01   1.62450e-03  -2.33203e-01
-   2  sg_p1        3.16035e+01   3.64838e-01   4.18602e-03   4.92054e-02
-   3  sg_p2        2.32184e+00   1.74449e-01   2.49592e-03   4.15288e-02
-   4  sg_p3        2.56533e+00   2.80149e-01   3.09113e-03   3.31222e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  4.410e-04  2.284e-03 -4.332e-04 
-  4.410e-04  1.332e-01  3.420e-03  4.258e-04 
-  2.284e-03  3.420e-03  3.048e-02  4.517e-05 
- -4.332e-04  4.258e-04  4.517e-05  7.866e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02667   1.000  0.002  0.026 -0.003
-        2  0.05384   0.002  1.000  0.054  0.004
-        3  0.05979   0.026  0.054  1.000  0.001
-        4  0.00527  -0.003  0.004  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM HESSE     STATUS=OK             23 CALLS         282 TOTAL
-                     EDM=3.55279e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92104e+02   4.94244e-01   3.24901e-04   7.01930e-02
-   2  sg_p1        3.16035e+01   3.64897e-01   1.67441e-04   8.15808e-01
-   3  sg_p2        2.32184e+00   1.74479e-01   4.99183e-04  -7.13248e-02
-   4  sg_p3        2.56533e+00   2.80163e-01   6.18226e-04  -2.70328e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  3.135e-04  2.378e-03 -5.538e-04 
-  3.135e-04  1.332e-01  3.580e-03  7.538e-04 
-  2.378e-03  3.580e-03  3.049e-02  5.456e-05 
- -5.538e-04  7.538e-04  5.456e-05  7.867e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02784   1.000  0.002  0.028 -0.004
-        2  0.05664   0.002  1.000  0.056  0.007
-        3  0.06252   0.028  0.056  1.000  0.001
-        4  0.00842  -0.004  0.007  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-592.104 +- 0.494244
-31.6035 +- 0.364897
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20903.6 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.76905e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.33312e+02
-   3  sg_p2        8.35066e-01   5.00000e-01   0.00000e+00   1.55262e+02
-   4  sg_p3        1.06407e+00   7.00000e-01  -7.69784e-01  -6.62795e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.01877 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             27 CALLS         327 TOTAL
-                     EDM=0.353557    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   1.65618e-03   2.97074e-02
-   2  sg_p1        3.19678e+01   3.59009e-01   4.38078e-03   7.51718e-03
-   3  sg_p2        3.30884e+00   1.90897e+00   9.40463e-02  -2.17700e-03
-   4  sg_p3        3.57858e+00   1.02503e+00   5.00000e-01  -2.82844e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=20782.7 FROM MIGRAD    STATUS=CONVERGED     349 CALLS         350 TOTAL
-                     EDM=0.00116564    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.5 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   0.00000e+00  -7.95791e-04
-   2  sg_p1        3.19677e+01   3.59015e-01   0.00000e+00  -1.29854e-03
-   3  sg_p2        3.31338e+00   1.90573e+00   0.00000e+00  -5.13595e-02
-   4  sg_p3        4.44183e+00   9.90294e-01   0.00000e+00  -7.71997e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.206e-04 -3.792e-05  6.874e-06 
-  1.206e-04  1.290e-01 -2.103e-05  2.400e-05 
- -3.792e-05 -2.103e-05  4.913e+00  1.276e-01 
-  6.874e-06  2.400e-05  1.276e-01  1.010e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00068   1.000  0.001 -0.000  0.000
-        2  0.00069   0.001  1.000 -0.000  0.000
-        3  0.05726  -0.000 -0.000  1.000  0.057
-        4  0.05726   0.000  0.000  0.057  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             29 CALLS         379 TOTAL
-                     EDM=0.00193193    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.94811e+02   4.92614e-01   1.65617e-03   1.61052e-01
-   2  sg_p1        3.19677e+01   3.59005e-01   1.75231e-03   8.59341e-01
-   3  sg_p2        3.31338e+00   1.92835e+00   9.34815e-02   3.31384e-01
-   4  sg_p3        4.44183e+00   4.36098e+00   5.00000e-01   2.72453e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.189e-04  4.150e-10  3.937e-09 
-  1.189e-04  1.290e-01  7.552e-10  7.164e-09 
-  4.150e-10  7.552e-10  5.086e+00  4.866e-17 
-  3.937e-09  7.164e-09  4.866e-17  3.680e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00067   1.000  0.001  0.000  0.000
-        2  0.00067   0.001  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-594.811 +- 0.492614
-31.9677 +- 0.359005
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19759.2 FROM MIGRAD    STATUS=INITIATE       61 CALLS          62 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -3.08252e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00   3.47377e+00
-   3  sg_p2        1.03803e+00   5.00000e-01   0.00000e+00   1.96966e+02
-   4  sg_p3        6.78922e-01   7.00000e-01  -9.37400e-01  -9.51087e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             27 CALLS         295 TOTAL
-                     EDM=0.000519933    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89106e+02   4.99310e-01   1.60340e-03  -1.77687e-01
-   2  sg_p1        3.11952e+01   3.74439e-01   3.97599e-03   1.75125e-01
-   3  sg_p2        2.15446e+00   1.55638e-01   6.05904e-03   5.07493e-02
-   4  sg_p3        2.86472e+00   1.00280e+00   2.23604e-02   1.02315e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00142 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=19618.4 FROM MIGRAD    STATUS=FAILED        359 CALLS         360 TOTAL
-                     EDM=0.026975    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  42.7 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89107e+02   1.06052e+00   0.00000e+00   3.45243e-02
-   2  sg_p1        3.11930e+01   5.01209e-01   0.00000e+00   3.04828e-02
-   3  sg_p2        2.15412e+00   1.61274e+00  -0.00000e+00   1.77468e-02
-   4  sg_p3        2.85260e+00   2.27046e+00   0.00000e+00  -1.96724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.125e+00 -5.647e-02  7.612e-01  2.001e+00 
- -5.647e-02  2.515e-01 -5.717e-01  8.039e-02 
-  7.612e-01 -5.717e-01  3.085e+00 -2.479e-02 
-  2.001e+00  8.039e-02 -2.479e-02  6.149e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.87825   1.000 -0.106  0.409  0.761
-        2  0.68964  -0.106  1.000 -0.649  0.065
-        3  0.81697   0.409 -0.649  1.000 -0.006
-        4  0.84389   0.761  0.065 -0.006  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             29 CALLS         389 TOTAL
-                     EDM=1.78558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.89107e+02   4.98832e-01   1.60273e-03  -2.97585e-02
-   2  sg_p1        3.11930e+01   3.72807e-01   3.96095e-03   7.69036e-01
-   3  sg_p2        2.15412e+00   1.55604e-01   5.99006e-03  -1.38798e-01
-   4  sg_p3        2.85260e+00   7.77091e-01   2.18365e-02  -1.86043e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.489e-01  3.933e-03  6.510e-03 -1.038e-02 
-  3.933e-03  1.391e-01  8.935e-03  1.739e-02 
-  6.510e-03  8.935e-03  2.424e-02  8.994e-04 
- -1.038e-02  1.739e-02  8.994e-04  6.144e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08866   1.000  0.021  0.084 -0.027
-        2  0.16487   0.021  1.000  0.154  0.059
-        3  0.17370   0.084  0.154  1.000  0.007
-        4  0.06566  -0.027  0.059  0.007  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-589.107 +- 0.498832
-31.193 +- 0.372807
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18511.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.40396e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.52378e+01
-   3  sg_p2        1.18490e+00   5.00000e-01   0.00000e+00   2.04158e+01
-   4  sg_p3        1.47860e+00   7.00000e-01  -6.15717e-01  -1.54349e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=1.54851e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08692e+02   3.23280e-01   1.16514e-03  -7.99199e-03
-   2  sg_p1        1.83569e+01   2.79934e-01   3.02518e-03  -2.66369e-02
-   3  sg_p2        1.48767e+00   5.44286e-02   2.05315e-03   4.94574e-02
-   4  sg_p3        1.40613e+00   6.14668e-02   1.81455e-03   2.39101e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.045e-01 -9.051e-03  2.188e-03 -5.216e-03 
- -9.051e-03  7.840e-02  5.474e-03  7.094e-03 
-  2.188e-03  5.474e-03  2.963e-03  4.768e-04 
- -5.216e-03  7.094e-03  4.768e-04  3.779e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31290   1.000 -0.100  0.124 -0.262
-        2  0.51370  -0.100  1.000  0.359  0.412
-        3  0.39510   0.124  0.359  1.000  0.142
-        4  0.46945  -0.262  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM HESSE     STATUS=OK             23 CALLS         222 TOTAL
-                     EDM=1.54744e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08692e+02   3.23426e-01   4.66057e-05   1.48232e-01
-   2  sg_p1        1.83569e+01   2.80464e-01   1.21007e-04   1.14504e-01
-   3  sg_p2        1.48767e+00   5.44911e-02   8.21259e-05  -4.16906e-01
-   4  sg_p3        1.40613e+00   6.15475e-02   7.25820e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.046e-01 -9.179e-03  2.197e-03 -5.241e-03 
- -9.179e-03  7.870e-02  5.524e-03  7.158e-03 
-  2.197e-03  5.524e-03  2.970e-03  4.840e-04 
- -5.241e-03  7.158e-03  4.840e-04  3.789e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.101  0.125 -0.263
-        2  0.51639  -0.101  1.000  0.361  0.415
-        3  0.39754   0.125  0.361  1.000  0.144
-        4  0.47162  -0.263  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.692 +- 0.323426
-18.3569 +- 0.280464
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18914.3 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07615e+02   5.00000e+00   0.00000e+00  -3.22775e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   5.18097e+00
-   3  sg_p2        1.14423e+00   5.00000e-01   0.00000e+00  -1.00194e+02
-   4  sg_p3        1.45830e+00   7.00000e-01  -6.22838e-01   5.05414e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=2.83441e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.09835e+02   3.20458e-01   1.18122e-03   1.99716e-02
-   2  sg_p1        1.84026e+01   2.81622e-01   3.04842e-03  -4.57325e-03
-   3  sg_p2        1.46608e+00   5.89939e-02   2.13709e-03  -5.15374e-04
-   4  sg_p3        1.40527e+00   5.47157e-02   1.70241e-03   2.83643e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.027e-01  2.191e-03  4.166e-03 -3.049e-03 
-  2.191e-03  7.935e-02  7.350e-03  5.397e-03 
-  4.166e-03  7.350e-03  3.481e-03  4.765e-04 
- -3.049e-03  5.397e-03  4.765e-04  2.994e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30388   1.000  0.024  0.220 -0.174
-        2  0.52791   0.024  1.000  0.442  0.350
-        3  0.49057   0.220  0.442  1.000  0.148
-        4  0.39639  -0.174  0.350  0.148  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=2.83854e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.09835e+02   3.20577e-01   2.36244e-04   1.94613e-01
-   2  sg_p1        1.84026e+01   2.82160e-01   1.21937e-04   1.20635e-01
-   3  sg_p2        1.46608e+00   5.90852e-02   8.54835e-05  -4.26369e-01
-   4  sg_p3        1.40527e+00   5.47727e-02   6.80964e-05  -6.41619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.028e-01  2.166e-03  4.187e-03 -3.058e-03 
-  2.166e-03  7.965e-02  7.413e-03  5.449e-03 
-  4.187e-03  7.413e-03  3.492e-03  4.840e-04 
- -3.058e-03  5.449e-03  4.840e-04  3.000e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30498   1.000  0.024  0.221 -0.174
-        2  0.53050   0.024  1.000  0.444  0.352
-        3  0.49295   0.221  0.444  1.000  0.150
-        4  0.39859  -0.174  0.352  0.150  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-609.835 +- 0.320577
-18.4026 +- 0.28216
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17827.8 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -3.81579e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -1.00435e+02
-   3  sg_p2        1.28822e+00   5.00000e-01   0.00000e+00   2.73039e+01
-   4  sg_p3        1.80614e+00   7.00000e-01  -5.05175e-01   1.07828e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0886e+00  1.1061e+00  1.8427e+00  2.1398e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.090718 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         194 TOTAL
-                     EDM=0.416197    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07398e+02   2.64955e+00   1.52214e-04  -1.22217e+01
-   2  sg_p1        1.77156e+01   1.07159e+00   3.05183e-03  -2.94405e+00
-   3  sg_p2        1.40875e+00   4.86527e-02   4.22960e-04  -1.06232e+01
-   4  sg_p3        1.34786e+00   1.92678e-01   1.78861e-03   3.70210e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=17796.1 FROM MIGRAD    STATUS=FAILED        231 CALLS         232 TOTAL
-                     EDM=854.994    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07407e+02   1.35903e-01  -0.00000e+00   6.05600e+02
-   2  sg_p1        1.77116e+01   1.50263e-01   0.00000e+00   1.62850e+02
-   3  sg_p2        1.40858e+00   6.28910e-03   0.00000e+00  -1.08286e+01
-   4  sg_p3        1.34715e+00   2.75057e-02   0.00000e+00   3.92805e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.847e-02 -2.028e-02 -7.414e-04 -3.202e-03 
- -2.028e-02  2.258e-02  8.238e-04  3.560e-03 
- -7.414e-04  8.238e-04  3.955e-05  1.478e-04 
- -3.202e-03  3.560e-03  1.478e-04  7.566e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99312   1.000 -0.993 -0.867 -0.856
-        2  0.99342  -0.993  1.000  0.872  0.861
-        3  0.89539  -0.867  0.872  1.000  0.855
-        4  0.88698  -0.856  0.861  0.855  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.1751e+01  9.9679e-01  1.9909e+00  7.2763e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 71.823632 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         259 TOTAL
-                     EDM=0.0450234    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07407e+02   8.84526e-03   4.47722e-05   9.64479e-02
-   2  sg_p1        1.77116e+01   9.83564e-03   1.65224e-04   2.82174e-02
-   3  sg_p2        1.40858e+00   7.59554e-03   2.51140e-05  -4.51783e-01
-   4  sg_p3        1.34715e+00   1.39806e-01   8.90793e-05  -6.62511e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.824e-05  8.666e-05 -3.386e-05  1.235e-03 
-  8.666e-05  9.674e-05 -3.765e-05  1.373e-03 
- -3.386e-05 -3.765e-05  5.769e-05 -5.353e-04 
-  1.235e-03  1.373e-03 -5.353e-04  1.956e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99802   1.000  0.996 -0.504  0.998
-        2  0.99801   0.996  1.000 -0.504  0.998
-        3  0.50444  -0.504 -0.504  1.000 -0.504
-        4  0.99899   0.998  0.998 -0.504  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-607.407 +- 0.00884526
-17.7116 +- 0.00983564
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18313.7 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.10963e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.40680e+01
-   3  sg_p2        1.12814e+00   5.00000e-01   0.00000e+00  -1.98843e+01
-   4  sg_p3        1.45064e+00   7.00000e-01  -6.25537e-01  -1.20812e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM MIGRAD    STATUS=CONVERGED     166 CALLS         167 TOTAL
-                     EDM=7.98313e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08803e+02   3.30506e-01   1.18077e-03  -1.43643e-02
-   2  sg_p1        1.84717e+01   2.89622e-01   3.07900e-03  -7.62757e-02
-   3  sg_p2        1.45856e+00   5.36517e-02   1.98838e-03  -2.33437e-02
-   4  sg_p3        1.38960e+00   6.15342e-02   1.80011e-03   4.41451e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.092e-01 -9.440e-03  2.340e-03 -5.461e-03 
- -9.440e-03  8.392e-02  5.863e-03  7.559e-03 
-  2.340e-03  5.863e-03  2.879e-03  5.057e-04 
- -5.461e-03  7.559e-03  5.057e-04  3.787e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32401   1.000 -0.099  0.132 -0.268
-        2  0.53046  -0.099  1.000  0.377  0.424
-        3  0.41529   0.132  0.377  1.000  0.153
-        4  0.48258  -0.268  0.424  0.153  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM HESSE     STATUS=OK             23 CALLS         190 TOTAL
-                     EDM=8.00182e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08803e+02   3.30636e-01   2.36154e-04   1.52717e-01
-   2  sg_p1        1.84717e+01   2.90111e-01   6.15801e-04   1.29921e-01
-   3  sg_p2        1.45856e+00   5.37098e-02   7.95354e-05  -4.29674e-01
-   4  sg_p3        1.38960e+00   6.16044e-02   3.60021e-04  -6.47219e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.093e-01 -9.548e-03  2.348e-03 -5.481e-03 
- -9.548e-03  8.421e-02  5.909e-03  7.616e-03 
-  2.348e-03  5.909e-03  2.885e-03  5.122e-04 
- -5.481e-03  7.616e-03  5.122e-04  3.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32509   1.000 -0.100  0.132 -0.269
-        2  0.53273  -0.100  1.000  0.379  0.426
-        3  0.41743   0.132  0.379  1.000  0.155
-        4  0.48438  -0.269  0.426  0.155  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.803 +- 0.330636
-18.4717 +- 0.290111
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18711.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.18390e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.18392e+01
-   3  sg_p2        1.20377e+00   5.00000e-01   0.00000e+00   8.44187e+00
-   4  sg_p3        1.54524e+00   7.00000e-01  -5.92581e-01   1.53539e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=3.64592e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08629e+02   3.18788e-01   1.15078e-03  -3.36230e-01
-   2  sg_p1        1.81384e+01   2.76492e-01   2.97751e-03  -6.31530e-02
-   3  sg_p2        1.49686e+00   5.44757e-02   2.06505e-03   2.07196e-02
-   4  sg_p3        1.39306e+00   6.05611e-02   1.78870e-03   1.70313e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.016e-01 -1.019e-02  2.021e-03 -5.340e-03 
- -1.019e-02  7.648e-02  5.389e-03  7.151e-03 
-  2.021e-03  5.389e-03  2.968e-03  4.840e-04 
- -5.340e-03  7.151e-03  4.840e-04  3.668e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32316   1.000 -0.116  0.116 -0.277
-        2  0.52296  -0.116  1.000  0.358  0.427
-        3  0.39289   0.116  0.358  1.000  0.147
-        4  0.48547  -0.277  0.427  0.147  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM HESSE     STATUS=OK             23 CALLS         229 TOTAL
-                     EDM=3.64813e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08629e+02   3.18930e-01   2.30156e-04   1.45672e-01
-   2  sg_p1        1.81384e+01   2.76957e-01   5.95502e-04   8.52226e-02
-   3  sg_p2        1.49686e+00   5.45322e-02   8.26022e-05  -4.12888e-01
-   4  sg_p3        1.39306e+00   6.06332e-02   7.15481e-05  -6.45981e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.017e-01 -1.031e-02  2.029e-03 -5.364e-03 
- -1.031e-02  7.674e-02  5.434e-03  7.205e-03 
-  2.029e-03  5.434e-03  2.974e-03  4.905e-04 
- -5.364e-03  7.205e-03  4.905e-04  3.677e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32439   1.000 -0.117  0.117 -0.277
-        2  0.52528  -0.117  1.000  0.360  0.429
-        3  0.39510   0.117  0.360  1.000  0.148
-        4  0.48733  -0.277  0.429  0.148  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.629 +- 0.31893
-18.1384 +- 0.276957
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17303.3 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -6.79986e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.47913e+01
-   3  sg_p2        1.18392e+00   5.00000e-01   0.00000e+00   1.09112e+01
-   4  sg_p3        1.50179e+00   7.00000e-01  -6.07622e-01  -1.34120e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=1.97081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08678e+02   3.33992e-01   1.16426e-03   9.30660e-02
-   2  sg_p1        1.83420e+01   2.89061e-01   3.02407e-03  -5.38511e-02
-   3  sg_p2        1.48991e+00   5.64139e-02   2.05472e-03  -1.38092e-01
-   4  sg_p3        1.40621e+00   6.35546e-02   1.81513e-03   1.01686e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.116e-01 -9.726e-03  2.331e-03 -5.579e-03 
- -9.726e-03  8.360e-02  5.845e-03  7.576e-03 
-  2.331e-03  5.845e-03  3.183e-03  5.099e-04 
- -5.579e-03  7.576e-03  5.099e-04  4.040e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31288   1.000 -0.101  0.124 -0.263
-        2  0.51335  -0.101  1.000  0.358  0.412
-        3  0.39415   0.124  0.358  1.000  0.142
-        4  0.46956  -0.263  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM HESSE     STATUS=OK             23 CALLS         186 TOTAL
-                     EDM=1.96909e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08678e+02   3.34135e-01   2.32851e-04   1.47652e-01
-   2  sg_p1        1.83420e+01   2.89586e-01   1.20963e-04   1.12504e-01
-   3  sg_p2        1.48991e+00   5.64735e-02   4.10945e-04  -4.15923e-01
-   4  sg_p3        1.40621e+00   6.36376e-02   7.26053e-05  -6.41285e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.117e-01 -9.856e-03  2.338e-03 -5.606e-03 
- -9.856e-03  8.390e-02  5.896e-03  7.643e-03 
-  2.338e-03  5.896e-03  3.190e-03  5.173e-04 
- -5.606e-03  7.643e-03  5.173e-04  4.050e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31411   1.000 -0.102  0.124 -0.264
-        2  0.51594  -0.102  1.000  0.360  0.415
-        3  0.39639   0.124  0.360  1.000  0.144
-        4  0.47171  -0.264  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.678 +- 0.334135
-18.342 +- 0.289586
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19781.5 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.94070e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.71988e+01
-   3  sg_p2        1.17009e+00   5.00000e-01   0.00000e+00  -7.70001e-01
-   4  sg_p3        1.45286e+00   7.00000e-01  -6.24753e-01  -3.36178e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=4.57234e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08706e+02   3.13081e-01   1.16661e-03   7.50814e-02
-   2  sg_p1        1.83713e+01   2.71251e-01   3.02919e-03   4.52649e-02
-   3  sg_p2        1.48521e+00   5.25283e-02   2.04671e-03  -2.57882e-02
-   4  sg_p3        1.40613e+00   5.94897e-02   1.81550e-03   4.82439e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.802e-02 -8.423e-03  2.056e-03 -4.882e-03 
- -8.423e-03  7.361e-02  5.131e-03  6.652e-03 
-  2.056e-03  5.131e-03  2.760e-03  4.464e-04 
- -4.882e-03  6.652e-03  4.464e-04  3.540e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31292   1.000 -0.099  0.125 -0.262
-        2  0.51406  -0.099  1.000  0.360  0.412
-        3  0.39608   0.125  0.360  1.000  0.143
-        4  0.46939  -0.262  0.412  0.143  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=4.58525e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08706e+02   3.13220e-01   2.33322e-04   1.48803e-01
-   2  sg_p1        1.83713e+01   2.71761e-01   1.21167e-04   1.16438e-01
-   3  sg_p2        1.48521e+00   5.25885e-02   8.18685e-05  -4.17982e-01
-   4  sg_p3        1.40613e+00   5.95681e-02   7.26199e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.811e-02 -8.532e-03  2.065e-03 -4.905e-03 
- -8.532e-03  7.389e-02  5.178e-03  6.711e-03 
-  2.065e-03  5.178e-03  2.766e-03  4.531e-04 
- -4.905e-03  6.711e-03  4.531e-04  3.549e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.100  0.125 -0.263
-        2  0.51674  -0.100  1.000  0.362  0.414
-        3  0.39850   0.125  0.362  1.000  0.145
-        4  0.47156  -0.263  0.414  0.145  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.706 +- 0.31322
-18.3713 +- 0.271761
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 608.692 +- 0.323426 (stat) - 1.28478 + 1.14244 (syst); -1.29492/+1.15383 (total)
-   Uncertainty on sg_p1 = 18.3569 +- 0.280464 (stat) - 0.645303 + 0.114761 (syst); -0.660364/+0.181204 (total)
-   Uncertainty on sg_p2 = 1.48767 +- 0.0544911 (stat) - 0.0790904 + 0.00919321 (syst); -0.0836517/+0.0287548 (total)
-   Uncertainty on sg_p3 = 1.40613 +- 0.0615475 (stat) - 0.0589742 + 8.24765e-05 (syst); -0.0665205/+0.0307738 (total)
-   === Baseline plot === </br>
-   norm = 150.798
-JEC     lnN   1.02779  -
-JER     lnN   1.01328  -
-btag    lnN   1.06702  -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
deleted file mode 100644
index 9ac03b3..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.01596 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06702    -
-JER       lnN     1.01328   - 
-JEC       lnN     1.02779   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0229477477   -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/pdf.log
deleted file mode 100644
index 1900262..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.9498 FROM MIGRAD    STATUS=CONVERGED      71 CALLS          72 TOTAL
-                     EDM=6.95637e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.30566e+01   1.77733e+00   2.65488e-03   2.23742e-05
-   2  Mean         1.00046e+00   3.03346e-03   5.72003e-06   3.78371e-01
-   3  Sigma        2.29477e-02   2.84199e-03   6.88862e-05   6.32201e-03
-1.00046088083 +/- 0.0030334648545
-0.0229477477015 +/- 0.00284199080585
-PDF lnN 1.0229477477
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/signal600_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/signal600_sig.log
deleted file mode 100644
index 2b9a4cd..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_600_novo_550_1200/signal600_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20407.2 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.37960e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.20569e+02
-   3  sg_p2        9.48780e-01   5.00000e-01   0.00000e+00   2.19249e+02
-   4  sg_p3        9.35752e-01   7.00000e-01  -8.22196e-01  -2.16926e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM MIGRAD    STATUS=CONVERGED     258 CALLS         259 TOTAL
-                     EDM=3.54203e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92104e+02   4.94229e-01   1.62450e-03  -2.33203e-01
-   2  sg_p1        3.16035e+01   3.64838e-01   4.18602e-03   4.92054e-02
-   3  sg_p2        2.32184e+00   1.74449e-01   2.49592e-03   4.15288e-02
-   4  sg_p3        2.56533e+00   2.80149e-01   3.09113e-03   3.31222e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  4.410e-04  2.284e-03 -4.332e-04 
-  4.410e-04  1.332e-01  3.420e-03  4.258e-04 
-  2.284e-03  3.420e-03  3.048e-02  4.517e-05 
- -4.332e-04  4.258e-04  4.517e-05  7.866e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02667   1.000  0.002  0.026 -0.003
-        2  0.05384   0.002  1.000  0.054  0.004
-        3  0.05979   0.026  0.054  1.000  0.001
-        4  0.00527  -0.003  0.004  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM HESSE     STATUS=OK             23 CALLS         282 TOTAL
-                     EDM=3.55279e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92104e+02   4.94244e-01   3.24901e-04   7.01930e-02
-   2  sg_p1        3.16035e+01   3.64897e-01   1.67441e-04   8.15808e-01
-   3  sg_p2        2.32184e+00   1.74479e-01   4.99183e-04  -7.13248e-02
-   4  sg_p3        2.56533e+00   2.80163e-01   6.18226e-04  -2.70328e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  3.135e-04  2.378e-03 -5.538e-04 
-  3.135e-04  1.332e-01  3.580e-03  7.538e-04 
-  2.378e-03  3.580e-03  3.049e-02  5.456e-05 
- -5.538e-04  7.538e-04  5.456e-05  7.867e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02784   1.000  0.002  0.028 -0.004
-        2  0.05664   0.002  1.000  0.056  0.007
-        3  0.06252   0.028  0.056  1.000  0.001
-        4  0.00842  -0.004  0.007  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-592.104 +- 0.494244
-31.6035 +- 0.364897
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20903.6 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.76905e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.33312e+02
-   3  sg_p2        8.35066e-01   5.00000e-01   0.00000e+00   1.55262e+02
-   4  sg_p3        1.06407e+00   7.00000e-01  -7.69784e-01  -6.62795e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.01877 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             27 CALLS         327 TOTAL
-                     EDM=0.353557    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   1.65618e-03   2.97074e-02
-   2  sg_p1        3.19678e+01   3.59009e-01   4.38078e-03   7.51718e-03
-   3  sg_p2        3.30884e+00   1.90897e+00   9.40463e-02  -2.17700e-03
-   4  sg_p3        3.57858e+00   1.02503e+00   5.00000e-01  -2.82844e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=20782.7 FROM MIGRAD    STATUS=CONVERGED     349 CALLS         350 TOTAL
-                     EDM=0.00116564    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.5 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   0.00000e+00  -7.95791e-04
-   2  sg_p1        3.19677e+01   3.59015e-01   0.00000e+00  -1.29854e-03
-   3  sg_p2        3.31338e+00   1.90573e+00   0.00000e+00  -5.13595e-02
-   4  sg_p3        4.44183e+00   9.90294e-01   0.00000e+00  -7.71997e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.206e-04 -3.792e-05  6.874e-06 
-  1.206e-04  1.290e-01 -2.103e-05  2.400e-05 
- -3.792e-05 -2.103e-05  4.913e+00  1.276e-01 
-  6.874e-06  2.400e-05  1.276e-01  1.010e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00068   1.000  0.001 -0.000  0.000
-        2  0.00069   0.001  1.000 -0.000  0.000
-        3  0.05726  -0.000 -0.000  1.000  0.057
-        4  0.05726   0.000  0.000  0.057  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             29 CALLS         379 TOTAL
-                     EDM=0.00193193    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.94811e+02   4.92614e-01   1.65617e-03   1.61052e-01
-   2  sg_p1        3.19677e+01   3.59005e-01   1.75231e-03   8.59341e-01
-   3  sg_p2        3.31338e+00   1.92835e+00   9.34815e-02   3.31384e-01
-   4  sg_p3        4.44183e+00   4.36098e+00   5.00000e-01   2.72453e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.189e-04  4.150e-10  3.937e-09 
-  1.189e-04  1.290e-01  7.552e-10  7.164e-09 
-  4.150e-10  7.552e-10  5.086e+00  4.866e-17 
-  3.937e-09  7.164e-09  4.866e-17  3.680e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00067   1.000  0.001  0.000  0.000
-        2  0.00067   0.001  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-594.811 +- 0.492614
-31.9677 +- 0.359005
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19759.2 FROM MIGRAD    STATUS=INITIATE       61 CALLS          62 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -3.08252e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00   3.47377e+00
-   3  sg_p2        1.03803e+00   5.00000e-01   0.00000e+00   1.96966e+02
-   4  sg_p3        6.78922e-01   7.00000e-01  -9.37400e-01  -9.51087e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             27 CALLS         295 TOTAL
-                     EDM=0.000519933    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89106e+02   4.99310e-01   1.60340e-03  -1.77687e-01
-   2  sg_p1        3.11952e+01   3.74439e-01   3.97599e-03   1.75125e-01
-   3  sg_p2        2.15446e+00   1.55638e-01   6.05904e-03   5.07493e-02
-   4  sg_p3        2.86472e+00   1.00280e+00   2.23604e-02   1.02315e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00142 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=19618.4 FROM MIGRAD    STATUS=FAILED        359 CALLS         360 TOTAL
-                     EDM=0.026975    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  42.7 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89107e+02   1.06052e+00   0.00000e+00   3.45243e-02
-   2  sg_p1        3.11930e+01   5.01209e-01   0.00000e+00   3.04828e-02
-   3  sg_p2        2.15412e+00   1.61274e+00  -0.00000e+00   1.77468e-02
-   4  sg_p3        2.85260e+00   2.27046e+00   0.00000e+00  -1.96724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.125e+00 -5.647e-02  7.612e-01  2.001e+00 
- -5.647e-02  2.515e-01 -5.717e-01  8.039e-02 
-  7.612e-01 -5.717e-01  3.085e+00 -2.479e-02 
-  2.001e+00  8.039e-02 -2.479e-02  6.149e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.87825   1.000 -0.106  0.409  0.761
-        2  0.68964  -0.106  1.000 -0.649  0.065
-        3  0.81697   0.409 -0.649  1.000 -0.006
-        4  0.84389   0.761  0.065 -0.006  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             29 CALLS         389 TOTAL
-                     EDM=1.78558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.89107e+02   4.98832e-01   1.60273e-03  -2.97585e-02
-   2  sg_p1        3.11930e+01   3.72807e-01   3.96095e-03   7.69036e-01
-   3  sg_p2        2.15412e+00   1.55604e-01   5.99006e-03  -1.38798e-01
-   4  sg_p3        2.85260e+00   7.77091e-01   2.18365e-02  -1.86043e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.489e-01  3.933e-03  6.510e-03 -1.038e-02 
-  3.933e-03  1.391e-01  8.935e-03  1.739e-02 
-  6.510e-03  8.935e-03  2.424e-02  8.994e-04 
- -1.038e-02  1.739e-02  8.994e-04  6.144e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08866   1.000  0.021  0.084 -0.027
-        2  0.16487   0.021  1.000  0.154  0.059
-        3  0.17370   0.084  0.154  1.000  0.007
-        4  0.06566  -0.027  0.059  0.007  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-589.107 +- 0.498832
-31.193 +- 0.372807
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18511.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.40396e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.52378e+01
-   3  sg_p2        1.18490e+00   5.00000e-01   0.00000e+00   2.04158e+01
-   4  sg_p3        1.47860e+00   7.00000e-01  -6.15717e-01  -1.54349e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=1.54851e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08692e+02   3.23280e-01   1.16514e-03  -7.99199e-03
-   2  sg_p1        1.83569e+01   2.79934e-01   3.02518e-03  -2.66369e-02
-   3  sg_p2        1.48767e+00   5.44286e-02   2.05315e-03   4.94574e-02
-   4  sg_p3        1.40613e+00   6.14668e-02   1.81455e-03   2.39101e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.045e-01 -9.051e-03  2.188e-03 -5.216e-03 
- -9.051e-03  7.840e-02  5.474e-03  7.094e-03 
-  2.188e-03  5.474e-03  2.963e-03  4.768e-04 
- -5.216e-03  7.094e-03  4.768e-04  3.779e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31290   1.000 -0.100  0.124 -0.262
-        2  0.51370  -0.100  1.000  0.359  0.412
-        3  0.39510   0.124  0.359  1.000  0.142
-        4  0.46945  -0.262  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM HESSE     STATUS=OK             23 CALLS         222 TOTAL
-                     EDM=1.54744e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08692e+02   3.23426e-01   4.66057e-05   1.48232e-01
-   2  sg_p1        1.83569e+01   2.80464e-01   1.21007e-04   1.14504e-01
-   3  sg_p2        1.48767e+00   5.44911e-02   8.21259e-05  -4.16906e-01
-   4  sg_p3        1.40613e+00   6.15475e-02   7.25820e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.046e-01 -9.179e-03  2.197e-03 -5.241e-03 
- -9.179e-03  7.870e-02  5.524e-03  7.158e-03 
-  2.197e-03  5.524e-03  2.970e-03  4.840e-04 
- -5.241e-03  7.158e-03  4.840e-04  3.789e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.101  0.125 -0.263
-        2  0.51639  -0.101  1.000  0.361  0.415
-        3  0.39754   0.125  0.361  1.000  0.144
-        4  0.47162  -0.263  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.692 +- 0.323426
-18.3569 +- 0.280464
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18914.3 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07615e+02   5.00000e+00   0.00000e+00  -3.22775e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   5.18097e+00
-   3  sg_p2        1.14423e+00   5.00000e-01   0.00000e+00  -1.00194e+02
-   4  sg_p3        1.45830e+00   7.00000e-01  -6.22838e-01   5.05414e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=2.83441e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.09835e+02   3.20458e-01   1.18122e-03   1.99716e-02
-   2  sg_p1        1.84026e+01   2.81622e-01   3.04842e-03  -4.57325e-03
-   3  sg_p2        1.46608e+00   5.89939e-02   2.13709e-03  -5.15374e-04
-   4  sg_p3        1.40527e+00   5.47157e-02   1.70241e-03   2.83643e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.027e-01  2.191e-03  4.166e-03 -3.049e-03 
-  2.191e-03  7.935e-02  7.350e-03  5.397e-03 
-  4.166e-03  7.350e-03  3.481e-03  4.765e-04 
- -3.049e-03  5.397e-03  4.765e-04  2.994e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30388   1.000  0.024  0.220 -0.174
-        2  0.52791   0.024  1.000  0.442  0.350
-        3  0.49057   0.220  0.442  1.000  0.148
-        4  0.39639  -0.174  0.350  0.148  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=2.83854e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.09835e+02   3.20577e-01   2.36244e-04   1.94613e-01
-   2  sg_p1        1.84026e+01   2.82160e-01   1.21937e-04   1.20635e-01
-   3  sg_p2        1.46608e+00   5.90852e-02   8.54835e-05  -4.26369e-01
-   4  sg_p3        1.40527e+00   5.47727e-02   6.80964e-05  -6.41619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.028e-01  2.166e-03  4.187e-03 -3.058e-03 
-  2.166e-03  7.965e-02  7.413e-03  5.449e-03 
-  4.187e-03  7.413e-03  3.492e-03  4.840e-04 
- -3.058e-03  5.449e-03  4.840e-04  3.000e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30498   1.000  0.024  0.221 -0.174
-        2  0.53050   0.024  1.000  0.444  0.352
-        3  0.49295   0.221  0.444  1.000  0.150
-        4  0.39859  -0.174  0.352  0.150  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-609.835 +- 0.320577
-18.4026 +- 0.28216
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17827.8 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -3.81579e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -1.00435e+02
-   3  sg_p2        1.28822e+00   5.00000e-01   0.00000e+00   2.73039e+01
-   4  sg_p3        1.80614e+00   7.00000e-01  -5.05175e-01   1.07828e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0886e+00  1.1061e+00  1.8427e+00  2.1398e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.090718 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         194 TOTAL
-                     EDM=0.416197    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07398e+02   2.64955e+00   1.52214e-04  -1.22217e+01
-   2  sg_p1        1.77156e+01   1.07159e+00   3.05183e-03  -2.94405e+00
-   3  sg_p2        1.40875e+00   4.86527e-02   4.22960e-04  -1.06232e+01
-   4  sg_p3        1.34786e+00   1.92678e-01   1.78861e-03   3.70210e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=17796.1 FROM MIGRAD    STATUS=FAILED        231 CALLS         232 TOTAL
-                     EDM=854.994    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07407e+02   1.35903e-01  -0.00000e+00   6.05600e+02
-   2  sg_p1        1.77116e+01   1.50263e-01   0.00000e+00   1.62850e+02
-   3  sg_p2        1.40858e+00   6.28910e-03   0.00000e+00  -1.08286e+01
-   4  sg_p3        1.34715e+00   2.75057e-02   0.00000e+00   3.92805e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.847e-02 -2.028e-02 -7.414e-04 -3.202e-03 
- -2.028e-02  2.258e-02  8.238e-04  3.560e-03 
- -7.414e-04  8.238e-04  3.955e-05  1.478e-04 
- -3.202e-03  3.560e-03  1.478e-04  7.566e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99312   1.000 -0.993 -0.867 -0.856
-        2  0.99342  -0.993  1.000  0.872  0.861
-        3  0.89539  -0.867  0.872  1.000  0.855
-        4  0.88698  -0.856  0.861  0.855  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.1751e+01  9.9679e-01  1.9909e+00  7.2763e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 71.823632 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         259 TOTAL
-                     EDM=0.0450234    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07407e+02   8.84526e-03   4.47722e-05   9.64479e-02
-   2  sg_p1        1.77116e+01   9.83564e-03   1.65224e-04   2.82174e-02
-   3  sg_p2        1.40858e+00   7.59554e-03   2.51140e-05  -4.51783e-01
-   4  sg_p3        1.34715e+00   1.39806e-01   8.90793e-05  -6.62511e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.824e-05  8.666e-05 -3.386e-05  1.235e-03 
-  8.666e-05  9.674e-05 -3.765e-05  1.373e-03 
- -3.386e-05 -3.765e-05  5.769e-05 -5.353e-04 
-  1.235e-03  1.373e-03 -5.353e-04  1.956e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99802   1.000  0.996 -0.504  0.998
-        2  0.99801   0.996  1.000 -0.504  0.998
-        3  0.50444  -0.504 -0.504  1.000 -0.504
-        4  0.99899   0.998  0.998 -0.504  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-607.407 +- 0.00884526
-17.7116 +- 0.00983564
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18313.7 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.10963e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.40680e+01
-   3  sg_p2        1.12814e+00   5.00000e-01   0.00000e+00  -1.98843e+01
-   4  sg_p3        1.45064e+00   7.00000e-01  -6.25537e-01  -1.20812e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM MIGRAD    STATUS=CONVERGED     166 CALLS         167 TOTAL
-                     EDM=7.98313e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08803e+02   3.30506e-01   1.18077e-03  -1.43643e-02
-   2  sg_p1        1.84717e+01   2.89622e-01   3.07900e-03  -7.62757e-02
-   3  sg_p2        1.45856e+00   5.36517e-02   1.98838e-03  -2.33437e-02
-   4  sg_p3        1.38960e+00   6.15342e-02   1.80011e-03   4.41451e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.092e-01 -9.440e-03  2.340e-03 -5.461e-03 
- -9.440e-03  8.392e-02  5.863e-03  7.559e-03 
-  2.340e-03  5.863e-03  2.879e-03  5.057e-04 
- -5.461e-03  7.559e-03  5.057e-04  3.787e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32401   1.000 -0.099  0.132 -0.268
-        2  0.53046  -0.099  1.000  0.377  0.424
-        3  0.41529   0.132  0.377  1.000  0.153
-        4  0.48258  -0.268  0.424  0.153  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM HESSE     STATUS=OK             23 CALLS         190 TOTAL
-                     EDM=8.00182e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08803e+02   3.30636e-01   2.36154e-04   1.52717e-01
-   2  sg_p1        1.84717e+01   2.90111e-01   6.15801e-04   1.29921e-01
-   3  sg_p2        1.45856e+00   5.37098e-02   7.95354e-05  -4.29674e-01
-   4  sg_p3        1.38960e+00   6.16044e-02   3.60021e-04  -6.47219e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.093e-01 -9.548e-03  2.348e-03 -5.481e-03 
- -9.548e-03  8.421e-02  5.909e-03  7.616e-03 
-  2.348e-03  5.909e-03  2.885e-03  5.122e-04 
- -5.481e-03  7.616e-03  5.122e-04  3.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32509   1.000 -0.100  0.132 -0.269
-        2  0.53273  -0.100  1.000  0.379  0.426
-        3  0.41743   0.132  0.379  1.000  0.155
-        4  0.48438  -0.269  0.426  0.155  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.803 +- 0.330636
-18.4717 +- 0.290111
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18711.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.18390e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.18392e+01
-   3  sg_p2        1.20377e+00   5.00000e-01   0.00000e+00   8.44187e+00
-   4  sg_p3        1.54524e+00   7.00000e-01  -5.92581e-01   1.53539e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=3.64592e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08629e+02   3.18788e-01   1.15078e-03  -3.36230e-01
-   2  sg_p1        1.81384e+01   2.76492e-01   2.97751e-03  -6.31530e-02
-   3  sg_p2        1.49686e+00   5.44757e-02   2.06505e-03   2.07196e-02
-   4  sg_p3        1.39306e+00   6.05611e-02   1.78870e-03   1.70313e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.016e-01 -1.019e-02  2.021e-03 -5.340e-03 
- -1.019e-02  7.648e-02  5.389e-03  7.151e-03 
-  2.021e-03  5.389e-03  2.968e-03  4.840e-04 
- -5.340e-03  7.151e-03  4.840e-04  3.668e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32316   1.000 -0.116  0.116 -0.277
-        2  0.52296  -0.116  1.000  0.358  0.427
-        3  0.39289   0.116  0.358  1.000  0.147
-        4  0.48547  -0.277  0.427  0.147  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM HESSE     STATUS=OK             23 CALLS         229 TOTAL
-                     EDM=3.64813e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08629e+02   3.18930e-01   2.30156e-04   1.45672e-01
-   2  sg_p1        1.81384e+01   2.76957e-01   5.95502e-04   8.52226e-02
-   3  sg_p2        1.49686e+00   5.45322e-02   8.26022e-05  -4.12888e-01
-   4  sg_p3        1.39306e+00   6.06332e-02   7.15481e-05  -6.45981e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.017e-01 -1.031e-02  2.029e-03 -5.364e-03 
- -1.031e-02  7.674e-02  5.434e-03  7.205e-03 
-  2.029e-03  5.434e-03  2.974e-03  4.905e-04 
- -5.364e-03  7.205e-03  4.905e-04  3.677e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32439   1.000 -0.117  0.117 -0.277
-        2  0.52528  -0.117  1.000  0.360  0.429
-        3  0.39510   0.117  0.360  1.000  0.148
-        4  0.48733  -0.277  0.429  0.148  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.629 +- 0.31893
-18.1384 +- 0.276957
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17303.3 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -6.79986e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.47913e+01
-   3  sg_p2        1.18392e+00   5.00000e-01   0.00000e+00   1.09112e+01
-   4  sg_p3        1.50179e+00   7.00000e-01  -6.07622e-01  -1.34120e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=1.97081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08678e+02   3.33992e-01   1.16426e-03   9.30660e-02
-   2  sg_p1        1.83420e+01   2.89061e-01   3.02407e-03  -5.38511e-02
-   3  sg_p2        1.48991e+00   5.64139e-02   2.05472e-03  -1.38092e-01
-   4  sg_p3        1.40621e+00   6.35546e-02   1.81513e-03   1.01686e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.116e-01 -9.726e-03  2.331e-03 -5.579e-03 
- -9.726e-03  8.360e-02  5.845e-03  7.576e-03 
-  2.331e-03  5.845e-03  3.183e-03  5.099e-04 
- -5.579e-03  7.576e-03  5.099e-04  4.040e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31288   1.000 -0.101  0.124 -0.263
-        2  0.51335  -0.101  1.000  0.358  0.412
-        3  0.39415   0.124  0.358  1.000  0.142
-        4  0.46956  -0.263  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM HESSE     STATUS=OK             23 CALLS         186 TOTAL
-                     EDM=1.96909e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08678e+02   3.34135e-01   2.32851e-04   1.47652e-01
-   2  sg_p1        1.83420e+01   2.89586e-01   1.20963e-04   1.12504e-01
-   3  sg_p2        1.48991e+00   5.64735e-02   4.10945e-04  -4.15923e-01
-   4  sg_p3        1.40621e+00   6.36376e-02   7.26053e-05  -6.41285e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.117e-01 -9.856e-03  2.338e-03 -5.606e-03 
- -9.856e-03  8.390e-02  5.896e-03  7.643e-03 
-  2.338e-03  5.896e-03  3.190e-03  5.173e-04 
- -5.606e-03  7.643e-03  5.173e-04  4.050e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31411   1.000 -0.102  0.124 -0.264
-        2  0.51594  -0.102  1.000  0.360  0.415
-        3  0.39639   0.124  0.360  1.000  0.144
-        4  0.47171  -0.264  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.678 +- 0.334135
-18.342 +- 0.289586
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19781.5 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.94070e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.71988e+01
-   3  sg_p2        1.17009e+00   5.00000e-01   0.00000e+00  -7.70001e-01
-   4  sg_p3        1.45286e+00   7.00000e-01  -6.24753e-01  -3.36178e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=4.57234e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08706e+02   3.13081e-01   1.16661e-03   7.50814e-02
-   2  sg_p1        1.83713e+01   2.71251e-01   3.02919e-03   4.52649e-02
-   3  sg_p2        1.48521e+00   5.25283e-02   2.04671e-03  -2.57882e-02
-   4  sg_p3        1.40613e+00   5.94897e-02   1.81550e-03   4.82439e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.802e-02 -8.423e-03  2.056e-03 -4.882e-03 
- -8.423e-03  7.361e-02  5.131e-03  6.652e-03 
-  2.056e-03  5.131e-03  2.760e-03  4.464e-04 
- -4.882e-03  6.652e-03  4.464e-04  3.540e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31292   1.000 -0.099  0.125 -0.262
-        2  0.51406  -0.099  1.000  0.360  0.412
-        3  0.39608   0.125  0.360  1.000  0.143
-        4  0.46939  -0.262  0.412  0.143  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=4.58525e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08706e+02   3.13220e-01   2.33322e-04   1.48803e-01
-   2  sg_p1        1.83713e+01   2.71761e-01   1.21167e-04   1.16438e-01
-   3  sg_p2        1.48521e+00   5.25885e-02   8.18685e-05  -4.17982e-01
-   4  sg_p3        1.40613e+00   5.95681e-02   7.26199e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.811e-02 -8.532e-03  2.065e-03 -4.905e-03 
- -8.532e-03  7.389e-02  5.178e-03  6.711e-03 
-  2.065e-03  5.178e-03  2.766e-03  4.531e-04 
- -4.905e-03  6.711e-03  4.531e-04  3.549e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.100  0.125 -0.263
-        2  0.51674  -0.100  1.000  0.362  0.414
-        3  0.39850   0.125  0.362  1.000  0.145
-        4  0.47156  -0.263  0.414  0.145  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.706 +- 0.31322
-18.3713 +- 0.271761
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 608.692 +- 0.323426 (stat) - 1.28478 + 1.14244 (syst); -1.29492/+1.15383 (total)
-   Uncertainty on sg_p1 = 18.3569 +- 0.280464 (stat) - 0.645303 + 0.114761 (syst); -0.660364/+0.181204 (total)
-   Uncertainty on sg_p2 = 1.48767 +- 0.0544911 (stat) - 0.0790904 + 0.00919321 (syst); -0.0836517/+0.0287548 (total)
-   Uncertainty on sg_p3 = 1.40613 +- 0.0615475 (stat) - 0.0589742 + 8.24765e-05 (syst); -0.0665205/+0.0307738 (total)
-   === Baseline plot === </br>
-   norm = 150.798
-JEC     lnN   1.02779  -
-JER     lnN   1.01328  -
-btag    lnN   1.06702  -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt
deleted file mode 100644
index b656fc9..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.4471 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06923    -
-JER       lnN     1.01174   - 
-JEC       lnN     1.021   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02353914841   -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/pdf.log
deleted file mode 100644
index aa6e6c7..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=15.5092 FROM MIGRAD    STATUS=CONVERGED      78 CALLS          79 TOTAL
-                     EDM=7.02832e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.26172e+01   1.73351e+00   2.72316e-03  -7.30163e-05
-   2  Mean         1.00012e+00   3.19011e-03   6.31280e-06   1.69814e-02
-   3  Sigma        2.35391e-02   3.03053e-03   7.58042e-05  -1.28772e-03
-1.00012141421 +/- 0.00319010963973
-0.0235391484052 +/- 0.00303053171895
-PDF lnN 1.02353914841
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/signal650_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/signal650_sig.log
deleted file mode 100644
index f094607..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_crystal_1_550_1200/signal650_sig.log
+++ /dev/null
@@ -1,1006 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11612.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -5.60818e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.83799e+01
-   3  sg_p2        1.51156e+00   5.00000e-01   0.00000e+00   4.45918e-01
-   4  sg_p3        1.65144e+00   7.00000e-01  -5.56433e-01   1.01665e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.07974 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         322 TOTAL
-                     EDM=0.104656    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41163e+02   7.06029e-01   1.74995e-03  -3.76296e-02
-   2  sg_p1        3.38688e+01   5.23325e-01   4.21353e-03   4.07382e-02
-   3  sg_p2        3.61832e+00   1.16199e+00   5.00000e-01  -8.37095e-01
-   4  sg_p3        2.97717e+00   1.74320e+00   3.82781e-02  -1.08231e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11585.6 FROM MIGRAD    STATUS=CONVERGED     333 CALLS         334 TOTAL
-                     EDM=3.51417e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41164e+02   7.06029e-01   2.17492e-05  -2.69889e-03
-   2  sg_p1        3.38675e+01   5.23355e-01  -1.32565e-04   1.94685e-03
-   3  sg_p2        4.13673e+00   9.85565e-01   2.50000e-01  -6.51974e-03
-   4  sg_p3        2.98762e+00   1.74432e+00   3.01848e-03  -1.43731e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.029e-03  1.165e-04  1.304e-03 
- -5.029e-03  2.742e-01 -1.478e-04 -1.655e-03 
-  1.165e-04 -1.478e-04  1.075e+00  3.155e-02 
-  1.304e-03 -1.655e-03  3.155e-02  3.342e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01364   1.000 -0.014  0.000  0.001
-        2  0.01371  -0.014  1.000 -0.000 -0.002
-        3  0.01665   0.000 -0.000  1.000  0.017
-        4  0.01677   0.001 -0.002  0.017  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         361 TOTAL
-                     EDM=0.00163365    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.41164e+02   7.06040e-01   1.75058e-03   3.88127e-02
-   2  sg_p1        3.38675e+01   5.23398e-01   1.68541e-03   3.97108e-01
-   3  sg_p2        4.13673e+00   2.58234e+00   5.00000e-01   7.13776e-01
-   4  sg_p3        2.98762e+00   2.30843e+00   1.53112e-02  -1.46921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.100e-03  8.651e-11  1.748e-04 
- -5.100e-03  2.742e-01 -4.651e-09 -1.792e-06 
-  8.651e-11 -4.651e-09  1.369e+02  3.040e-14 
-  1.748e-04 -1.792e-06  3.040e-14  6.385e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01379   1.000 -0.014  0.000  0.000
-        2  0.01379  -0.014  1.000 -0.000 -0.000
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.00010   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-641.164 +- 0.70604
-33.8675 +- 0.523398
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11904.9 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -1.02677e+02
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.17543e+01
-   3  sg_p2        1.12614e+00   5.00000e-01  -5.81819e-01   2.25140e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.65465e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11868.8 FROM HESSE     STATUS=OK             23 CALLS         155 TOTAL
-                     EDM=1.60817    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44838e+02   7.48080e-01   1.83180e-03   5.58516e+00
-   2  sg_p1        3.44259e+01   5.95973e-01   5.44743e-03  -4.45013e+00
-   3  sg_p2        2.01408e+00   1.75526e-01   9.79574e-03  -1.65119e+01
-   4  sg_p3        3.37744e+00   1.00364e+00   5.00000e-01   3.60429e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   6.16255e-03
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03  -9.30316e-04
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02  -2.32163e-02
-   4  sg_p3        5.67282e+00   1.35691e+00  -0.00000e+00   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM HESSE     STATUS=FAILED          9 CALLS         289 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   1.61714e-01
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03   4.84601e-01
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02   2.38245e-01
-   4  sg_p3        6.72231e+00   1.35691e+00  -0.00000e+00   2.47182e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-644.83 +- 0.716643
-34.6586 +- 0.534936
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11362.2 FROM MIGRAD    STATUS=INITIATE      104 CALLS         105 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00   7.10893e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -1.05256e+02
-   3  sg_p2        1.85778e+00   5.00000e-01   0.00000e+00   7.21734e-01
-   4  sg_p3        1.67742e+00   7.00000e-01  -5.47714e-01   2.76085e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=7.99199e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.38708e+02   7.08102e-01   1.73490e-03   8.50047e-02
-   2  sg_p1        3.35052e+01   5.28951e-01   4.14123e-03  -3.90699e-02
-   3  sg_p2        2.94947e+00   9.95349e-01   2.87844e-02   1.61687e-02
-   4  sg_p3        2.32505e+00   3.50639e-01   7.88914e-03   4.91799e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.015e-01 -1.242e-02  4.478e-03 -8.703e-03 
- -1.242e-02  2.801e-01  6.824e-03  9.967e-03 
-  4.478e-03  6.824e-03  1.050e+00  2.470e-04 
- -8.703e-03  9.967e-03  2.470e-04  1.234e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.04741   1.000 -0.033  0.006 -0.035
-        2  0.06336  -0.033  1.000  0.013  0.054
-        3  0.01421   0.006  0.013  1.000  0.001
-        4  0.06307  -0.035  0.054  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM HESSE     STATUS=OK             27 CALLS         256 TOTAL
-                     EDM=9.40062e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.38708e+02   7.08265e-01   3.46979e-04  -4.30894e-02
-   2  sg_p1        3.35052e+01   5.29379e-01   1.65649e-04   3.58121e-01
-   3  sg_p2        2.94947e+00   1.13847e+00   1.17440e-01   1.80769e-01
-   4  sg_p3        2.32505e+00   3.50890e-01   3.15565e-04  -3.42349e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.017e-01 -1.287e-02  1.066e-02 -9.624e-03 
- -1.287e-02  2.805e-01  1.877e-02  1.130e-02 
-  1.066e-02  1.877e-02  1.401e+00  6.030e-04 
- -9.624e-03  1.130e-02  6.030e-04  1.236e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05204   1.000 -0.034  0.013 -0.039
-        2  0.07498  -0.034  1.000  0.030  0.061
-        3  0.03295   0.013  0.030  1.000  0.001
-        4  0.07086  -0.039  0.061  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-638.708 +- 0.708265
-33.5052 +- 0.529379
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10721.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.43808e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.21270e+01
-   3  sg_p2        7.95726e-01   5.00000e-01   0.00000e+00  -2.45454e+02
-   4  sg_p3        1.33597e+00   7.00000e-01  -6.66570e-01   4.99104e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM MIGRAD    STATUS=CONVERGED     213 CALLS         214 TOTAL
-                     EDM=1.33202e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61215e+02   1.25169e+00   1.34687e-03   3.04499e-03
-   2  sg_p1        1.89981e+01   1.55542e+00   3.49164e-03   1.91712e-04
-   3  sg_p2        1.45525e+00   1.90355e-01   2.29593e-03  -6.77581e-03
-   4  sg_p3        1.13503e+00   2.26730e-01   1.46146e-03   4.83701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.568e+00 -1.781e+00 -1.994e-01 -2.643e-01 
- -1.781e+00  2.456e+00  2.755e-01  3.428e-01 
- -1.994e-01  2.755e-01  3.632e-02  3.869e-02 
- -2.643e-01  3.428e-01  3.869e-02  5.154e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.93090   1.000 -0.907 -0.835 -0.930
-        2  0.97333  -0.907  1.000  0.922  0.963
-        3  0.92278  -0.835  0.922  1.000  0.894
-        4  0.97249  -0.930  0.963  0.894  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM HESSE     STATUS=OK             23 CALLS         237 TOTAL
-                     EDM=4.47094e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61215e+02   7.20486e-01   5.38748e-05   2.51223e-01
-   2  sg_p1        1.89981e+01   8.37759e-01   1.39666e-04   2.01106e-01
-   3  sg_p2        1.45525e+00   1.05708e-01   9.18371e-05  -4.31134e-01
-   4  sg_p3        1.13503e+00   1.24010e-01   5.84582e-05  -7.41920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.193e-01 -3.889e-01 -2.078e-02 -6.678e-02 
- -3.889e-01  7.049e-01  6.093e-02  9.065e-02 
- -2.078e-02  6.093e-02  1.118e-02  7.399e-03 
- -6.678e-02  9.065e-02  7.399e-03  1.539e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77269   1.000 -0.643 -0.273 -0.747
-        2  0.90365  -0.643  1.000  0.686  0.870
-        3  0.72233  -0.273  0.686  1.000  0.564
-        4  0.90460  -0.747  0.870  0.564  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.215 +- 0.720486
-18.9981 +- 0.837759
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10990.4 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -5.27265e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -9.02997e+01
-   3  sg_p2        9.67628e-01   5.00000e-01   0.00000e+00   1.90034e+02
-   4  sg_p3        1.53208e+00   7.00000e-01  -5.97119e-01   9.04631e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM MIGRAD    STATUS=CONVERGED     170 CALLS         171 TOTAL
-                     EDM=0.000119297    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.62487e+02   5.44568e-01   1.37103e-03   3.37887e-01
-   2  sg_p1        1.91861e+01   6.48831e-01   3.54018e-03   5.42529e-02
-   3  sg_p2        1.42329e+00   1.09535e-01   2.32356e-03  -1.51053e-01
-   4  sg_p3        1.14846e+00   8.06823e-02   1.37891e-03  -1.67722e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.966e-01 -7.261e-02  6.903e-03 -1.862e-02 
- -7.261e-02  4.221e-01  4.896e-02  3.840e-02 
-  6.903e-03  4.896e-02  1.201e-02  4.066e-03 
- -1.862e-02  3.840e-02  4.066e-03  6.512e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55262   1.000 -0.205  0.116 -0.424
-        2  0.83317  -0.205  1.000  0.688  0.732
-        3  0.73763   0.116  0.688  1.000  0.460
-        4  0.78506  -0.424  0.732  0.460  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM HESSE     STATUS=OK             23 CALLS         194 TOTAL
-                     EDM=0.000109915    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.62487e+02   5.36215e-01   2.74206e-04   3.04165e-01
-   2  sg_p1        1.91861e+01   6.18928e-01   7.08036e-04   2.26745e-01
-   3  sg_p2        1.42329e+00   1.07941e-01   4.64712e-04  -4.45250e-01
-   4  sg_p3        1.14846e+00   7.57926e-02   5.51562e-05  -7.36728e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.876e-01 -5.330e-02  8.935e-03 -1.590e-02 
- -5.330e-02  3.840e-01  4.525e-02  3.283e-02 
-  8.935e-03  4.525e-02  1.166e-02  3.512e-03 
- -1.590e-02  3.283e-02  3.512e-03  5.746e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53288   1.000 -0.160  0.154 -0.391
-        2  0.81480  -0.160  1.000  0.676  0.699
-        3  0.72837   0.154  0.676  1.000  0.429
-        4  0.75539  -0.391  0.699  0.429  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-662.487 +- 0.536215
-19.1861 +- 0.618928
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10453.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.71248e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.97336e+01
-   3  sg_p2        1.05577e+00   5.00000e-01   0.00000e+00   6.59080e+01
-   4  sg_p3        1.28275e+00   7.00000e-01  -6.86067e-01   1.15714e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1 added to diagonal of error matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00026 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0624e+00  1.0038e+00  2.0034e+00  2.0551e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.064428 TO DIAGONAL.
- FCN=10417.7 FROM HESSE     STATUS=NOT POSDEF     31 CALLS         501 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01   1.00195e-04  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00   3.48397e-03  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02   1.91254e-04   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02   8.43062e-05  -1.60765e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10417.7 FROM MIGRAD    STATUS=FAILED        511 CALLS         512 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01  -0.00000e+00  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00  -0.00000e+00  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02  -0.00000e+00   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02  -0.00000e+00  -1.60765e+03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.806e-02  1.899e-01  3.204e-03  1.613e-03 
-  1.899e-01  2.061e+00  3.377e-02  1.698e-02 
-  3.204e-03  3.377e-02  5.709e-04  2.868e-04 
-  1.613e-03  1.698e-02  2.868e-04  1.447e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000  0.984  0.998  0.998
-        2  0.98497   0.984  1.000  0.984  0.983
-        3  0.99849   0.998  0.984  1.000  0.998
-        4  0.99838   0.998  0.983  0.998  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10417.7 FROM HESSE     STATUS=OK             53 CALLS         565 TOTAL
-                     EDM=36.107    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.59286e+02   4.94375e-01   4.11775e-02   1.72285e-01
-   2  sg_p1        1.95932e+01   4.96180e-01   1.39359e-04   2.82846e-01
-   3  sg_p2        1.48285e+00   9.77917e-02   7.54293e-02  -4.19013e-01
-   4  sg_p3        1.30319e+00   7.96802e-02   5.20393e-02  -6.78543e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.444e-01  2.547e-03  1.237e-02 -9.665e-03 
-  2.547e-03  2.466e-01  2.750e-02  2.146e-02 
-  1.237e-02  2.750e-02  9.569e-03  2.078e-03 
- -9.665e-03  2.146e-02  2.078e-03  6.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41374   1.000  0.010  0.256 -0.245
-        2  0.69659   0.010  1.000  0.566  0.542
-        3  0.61938   0.256  0.566  1.000  0.267
-        4  0.59812  -0.245  0.542  0.267  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-659.286 +- 0.494375
-19.5932 +- 0.49618
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10619.9 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.21165e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.34414e+00
-   3  sg_p2        9.15926e-01   5.00000e-01   0.00000e+00   4.72583e+01
-   4  sg_p3        1.18271e+00   7.00000e-01  -7.23594e-01  -8.98084e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=7.5268e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61397e+02   5.44897e-01   1.34246e-03   4.14273e-01
-   2  sg_p1        1.90727e+01   5.64070e-01   3.46865e-03  -1.30068e-03
-   3  sg_p2        1.41469e+00   8.73074e-02   2.15873e-03   1.72287e-02
-   4  sg_p3        1.12865e+00   7.39900e-02   1.34213e-03   2.26005e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.970e-01 -9.007e-02  2.908e-03 -1.929e-02 
- -9.007e-02  3.188e-01  2.788e-02  2.852e-02 
-  2.908e-03  2.788e-02  7.626e-03  2.278e-03 
- -1.929e-02  2.852e-02  2.278e-03  5.476e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54360   1.000 -0.293  0.061 -0.478
-        2  0.76817  -0.293  1.000  0.566  0.683
-        3  0.61547   0.061  0.566  1.000  0.353
-        4  0.74345  -0.478  0.683  0.353  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM HESSE     STATUS=OK             23 CALLS         205 TOTAL
-                     EDM=7.54443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61397e+02   5.45454e-01   2.68492e-04   2.58749e-01
-   2  sg_p1        1.90727e+01   5.66991e-01   1.38746e-04   2.11267e-01
-   3  sg_p2        1.41469e+00   8.76116e-02   8.63490e-05  -4.49065e-01
-   4  sg_p3        1.12865e+00   7.42730e-02   2.68425e-04  -7.44396e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.976e-01 -9.125e-02  2.820e-03 -1.942e-02 
- -9.125e-02  3.221e-01  2.831e-02  2.890e-02 
-  2.820e-03  2.831e-02  7.680e-03  2.324e-03 
- -1.942e-02  2.890e-02  2.324e-03  5.518e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54492   1.000 -0.295  0.059 -0.479
-        2  0.77092  -0.295  1.000  0.569  0.685
-        3  0.61896   0.059  0.569  1.000  0.357
-        4  0.74573  -0.479  0.685  0.357  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.397 +- 0.545454
-19.0727 +- 0.566991
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10830.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.44740e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -4.26729e+01
-   3  sg_p2        1.00225e+00   5.00000e-01   0.00000e+00   7.37985e+01
-   4  sg_p3        1.39341e+00   7.00000e-01  -6.45856e-01   4.14284e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=5.54438e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61183e+02   5.58601e-01   1.30703e-03   7.27339e-02
-   2  sg_p1        1.87556e+01   6.26067e-01   3.36619e-03   1.16170e-01
-   3  sg_p2        1.45666e+00   9.85527e-02   2.30722e-03  -2.01954e-01
-   4  sg_p3        1.14103e+00   8.65798e-02   1.35416e-03  -1.57200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.121e-01 -1.357e-01 -1.260e-03 -2.677e-02 
- -1.357e-01  3.929e-01  3.854e-02  4.159e-02 
- -1.260e-03  3.854e-02  9.719e-03  3.757e-03 
- -2.677e-02  4.159e-02  3.757e-03  7.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.61009   1.000 -0.388 -0.023 -0.553
-        2  0.83171  -0.388  1.000  0.624  0.766
-        3  0.66919  -0.023  0.624  1.000  0.440
-        4  0.81600  -0.553  0.766  0.440  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM HESSE     STATUS=OK             23 CALLS         182 TOTAL
-                     EDM=5.46307e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61183e+02   5.24911e-01   5.22814e-05   2.49922e-01
-   2  sg_p1        1.87556e+01   5.52841e-01   6.73237e-04   1.68209e-01
-   3  sg_p2        1.45666e+00   9.52773e-02   4.61444e-04  -4.30514e-01
-   4  sg_p3        1.14103e+00   7.38096e-02   5.41663e-05  -7.39598e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -7.938e-02  3.701e-03 -1.800e-02 
- -7.938e-02  3.062e-01  3.107e-02  2.800e-02 
-  3.701e-03  3.107e-02  9.083e-03  2.581e-03 
- -1.800e-02  2.800e-02  2.581e-03  5.449e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53953   1.000 -0.273  0.074 -0.465
-        2  0.77793  -0.273  1.000  0.589  0.686
-        3  0.63966   0.074  0.589  1.000  0.367
-        4  0.74489  -0.465  0.686  0.367  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.183 +- 0.524911
-18.7556 +- 0.552841
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9992.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.62893e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -5.90807e+01
-   3  sg_p2        9.83939e-01   5.00000e-01   0.00000e+00   6.33616e+01
-   4  sg_p3        1.46565e+00   7.00000e-01  -6.20255e-01   8.16516e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM MIGRAD    STATUS=CONVERGED     169 CALLS         170 TOTAL
-                     EDM=0.000159227    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61178e+02   7.39572e-01   1.34451e-03  -1.70686e-01
-   2  sg_p1        1.89964e+01   8.67158e-01   3.47868e-03   7.20693e-02
-   3  sg_p2        1.45598e+00   1.10743e-01   2.29383e-03  -2.60727e-02
-   4  sg_p3        1.13815e+00   1.28466e-01   1.46277e-03  -4.42263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.471e-01 -4.069e-01 -2.161e-02 -7.041e-02 
- -4.069e-01  7.555e-01  6.659e-02  9.706e-02 
- -2.161e-02  6.659e-02  1.227e-02  8.055e-03 
- -7.041e-02  9.706e-02  8.055e-03  1.652e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.76850   1.000 -0.633 -0.264 -0.741
-        2  0.90376  -0.633  1.000  0.692  0.869
-        3  0.72860  -0.264  0.692  1.000  0.566
-        4  0.90364  -0.741  0.869  0.566  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM HESSE     STATUS=OK             23 CALLS         193 TOTAL
-                     EDM=0.000158903    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61178e+02   7.43466e-01   2.68901e-04   2.49690e-01
-   2  sg_p1        1.89964e+01   8.64124e-01   6.95735e-04   2.00873e-01
-   3  sg_p2        1.45598e+00   1.09398e-01   9.17533e-05  -4.30811e-01
-   4  sg_p3        1.13815e+00   1.28692e-01   2.92554e-04  -7.40712e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.529e-01 -4.125e-01 -2.195e-02 -7.136e-02 
- -4.125e-01  7.502e-01  6.495e-02  9.696e-02 
- -2.195e-02  6.495e-02  1.198e-02  7.923e-03 
- -7.136e-02  9.696e-02  7.923e-03  1.658e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77128   1.000 -0.641 -0.270 -0.745
-        2  0.90304  -0.641  1.000  0.685  0.870
-        3  0.72136  -0.270  0.685  1.000  0.562
-        4  0.90400  -0.745  0.870  0.562  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.178 +- 0.743466
-18.9964 +- 0.864124
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11483.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.74697e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.72491e+01
-   3  sg_p2        7.99758e-01   5.00000e-01   0.00000e+00  -2.45884e+02
-   4  sg_p3        1.30853e+00   7.00000e-01  -6.76585e-01   3.62491e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11413.9 FROM HESSE     STATUS=OK             31 CALLS         214 TOTAL
-                     EDM=0.000179347    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61256e+02   8.07788e-01   1.02475e-03   4.77630e-01
-   2  sg_p1        1.89964e+01   1.08091e+00   3.49772e-03   1.37583e-01
-   3  sg_p2        1.45364e+00   1.98903e-01   2.28196e-03  -3.12364e-01
-   4  sg_p3        1.13104e+00   1.04915e-01   1.45795e-03   2.20302e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11413.9 FROM MIGRAD    STATUS=CONVERGED     223 CALLS         224 TOTAL
-                     EDM=4.35241e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61254e+02   3.21033e-01  -6.85513e-05   2.09409e-01
-   2  sg_p1        1.89941e+01   4.43174e-01  -3.15216e-04   9.14503e-02
-   3  sg_p2        1.45327e+00   7.44907e-02  -1.59636e-04  -3.27444e-01
-   4  sg_p3        1.13082e+00   4.34031e-02  -8.50837e-05   8.12827e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.031e-01  3.647e-02  1.175e-02  3.896e-03 
-  3.647e-02  1.966e-01  1.850e-02  1.029e-02 
-  1.175e-02  1.850e-02  5.551e-03  1.469e-03 
-  3.896e-03  1.029e-02  1.469e-03  1.884e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49775   1.000  0.256  0.491  0.280
-        2  0.64400   0.256  1.000  0.560  0.535
-        3  0.67669   0.491  0.560  1.000  0.454
-        4  0.57117   0.280  0.535  0.454  1.000
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.6515e+00  2.2931e-01  1.6841e+00  6.7381e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 4.658200 TO DIAGONAL.
- FCN=11413.9 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         249 TOTAL
-                     EDM=0.0178461    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61254e+02   3.25109e+00   4.09899e-04   2.52855e-01
-   2  sg_p1        1.89941e+01   1.45159e+00   1.39909e-03   2.00554e-01
-   3  sg_p2        1.45327e+00   6.02184e-01   9.12783e-04  -4.32003e-01
-   4  sg_p3        1.13082e+00   2.35099e-02   5.83181e-04  -7.43554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.063e+01  4.733e+00 -1.984e+00 -3.774e-02 
-  4.733e+00  2.135e+00 -8.861e-01 -1.641e-02 
- -1.984e+00 -8.861e-01  3.715e-01  7.009e-03 
- -3.774e-02 -1.641e-02  7.009e-03  5.527e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99842   1.000  0.993 -0.998 -0.492
-        2  0.99509   0.993  1.000 -0.995 -0.478
-        3  0.99882  -0.998 -0.995  1.000  0.489
-        4  0.50219  -0.492 -0.478  0.489  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.254 +- 3.25109
-18.9941 +- 1.45159
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 661.215 +- 0.720486 (stat) - 1.92885 + 1.27271 (syst); -1.96221/+1.32271 (total)
-   Uncertainty on sg_p1 = 18.9981 +- 0.837759 (stat) - 0.242524 + 0.595022 (syst); -0.484023/+0.727675 (total)
-   Uncertainty on sg_p2 = 1.45525 +- 0.105708 (stat) - 0.0405567 + 0.0276059 (syst); -0.0666212/+0.0596291 (total)
-   Uncertainty on sg_p3 = 1.13503 +- 0.12401 (stat) - 0.00638242 + 0.168157 (syst); -0.0623326/+0.179225 (total)
-   === Baseline plot === </br>
-   norm = 172.355
-JEC     lnN   1.021  -
-JER     lnN   1.01174  -
-btag    lnN   1.06923  -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
deleted file mode 100644
index bde6670..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.4471 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06923    -
-JER       lnN     1.01174   - 
-JEC       lnN     1.021   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02353914841   -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/pdf.log
deleted file mode 100644
index aa6e6c7..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=15.5092 FROM MIGRAD    STATUS=CONVERGED      78 CALLS          79 TOTAL
-                     EDM=7.02832e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.26172e+01   1.73351e+00   2.72316e-03  -7.30163e-05
-   2  Mean         1.00012e+00   3.19011e-03   6.31280e-06   1.69814e-02
-   3  Sigma        2.35391e-02   3.03053e-03   7.58042e-05  -1.28772e-03
-1.00012141421 +/- 0.00319010963973
-0.0235391484052 +/- 0.00303053171895
-PDF lnN 1.02353914841
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/signal650_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/signal650_sig.log
deleted file mode 100644
index f094607..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_650_novo_550_1200/signal650_sig.log
+++ /dev/null
@@ -1,1006 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11612.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -5.60818e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.83799e+01
-   3  sg_p2        1.51156e+00   5.00000e-01   0.00000e+00   4.45918e-01
-   4  sg_p3        1.65144e+00   7.00000e-01  -5.56433e-01   1.01665e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.07974 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         322 TOTAL
-                     EDM=0.104656    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41163e+02   7.06029e-01   1.74995e-03  -3.76296e-02
-   2  sg_p1        3.38688e+01   5.23325e-01   4.21353e-03   4.07382e-02
-   3  sg_p2        3.61832e+00   1.16199e+00   5.00000e-01  -8.37095e-01
-   4  sg_p3        2.97717e+00   1.74320e+00   3.82781e-02  -1.08231e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11585.6 FROM MIGRAD    STATUS=CONVERGED     333 CALLS         334 TOTAL
-                     EDM=3.51417e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41164e+02   7.06029e-01   2.17492e-05  -2.69889e-03
-   2  sg_p1        3.38675e+01   5.23355e-01  -1.32565e-04   1.94685e-03
-   3  sg_p2        4.13673e+00   9.85565e-01   2.50000e-01  -6.51974e-03
-   4  sg_p3        2.98762e+00   1.74432e+00   3.01848e-03  -1.43731e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.029e-03  1.165e-04  1.304e-03 
- -5.029e-03  2.742e-01 -1.478e-04 -1.655e-03 
-  1.165e-04 -1.478e-04  1.075e+00  3.155e-02 
-  1.304e-03 -1.655e-03  3.155e-02  3.342e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01364   1.000 -0.014  0.000  0.001
-        2  0.01371  -0.014  1.000 -0.000 -0.002
-        3  0.01665   0.000 -0.000  1.000  0.017
-        4  0.01677   0.001 -0.002  0.017  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         361 TOTAL
-                     EDM=0.00163365    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.41164e+02   7.06040e-01   1.75058e-03   3.88127e-02
-   2  sg_p1        3.38675e+01   5.23398e-01   1.68541e-03   3.97108e-01
-   3  sg_p2        4.13673e+00   2.58234e+00   5.00000e-01   7.13776e-01
-   4  sg_p3        2.98762e+00   2.30843e+00   1.53112e-02  -1.46921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.100e-03  8.651e-11  1.748e-04 
- -5.100e-03  2.742e-01 -4.651e-09 -1.792e-06 
-  8.651e-11 -4.651e-09  1.369e+02  3.040e-14 
-  1.748e-04 -1.792e-06  3.040e-14  6.385e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01379   1.000 -0.014  0.000  0.000
-        2  0.01379  -0.014  1.000 -0.000 -0.000
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.00010   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-641.164 +- 0.70604
-33.8675 +- 0.523398
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11904.9 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -1.02677e+02
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.17543e+01
-   3  sg_p2        1.12614e+00   5.00000e-01  -5.81819e-01   2.25140e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.65465e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11868.8 FROM HESSE     STATUS=OK             23 CALLS         155 TOTAL
-                     EDM=1.60817    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44838e+02   7.48080e-01   1.83180e-03   5.58516e+00
-   2  sg_p1        3.44259e+01   5.95973e-01   5.44743e-03  -4.45013e+00
-   3  sg_p2        2.01408e+00   1.75526e-01   9.79574e-03  -1.65119e+01
-   4  sg_p3        3.37744e+00   1.00364e+00   5.00000e-01   3.60429e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   6.16255e-03
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03  -9.30316e-04
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02  -2.32163e-02
-   4  sg_p3        5.67282e+00   1.35691e+00  -0.00000e+00   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM HESSE     STATUS=FAILED          9 CALLS         289 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   1.61714e-01
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03   4.84601e-01
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02   2.38245e-01
-   4  sg_p3        6.72231e+00   1.35691e+00  -0.00000e+00   2.47182e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-644.83 +- 0.716643
-34.6586 +- 0.534936
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11362.2 FROM MIGRAD    STATUS=INITIATE      104 CALLS         105 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00   7.10893e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -1.05256e+02
-   3  sg_p2        1.85778e+00   5.00000e-01   0.00000e+00   7.21734e-01
-   4  sg_p3        1.67742e+00   7.00000e-01  -5.47714e-01   2.76085e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=7.99199e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.38708e+02   7.08102e-01   1.73490e-03   8.50047e-02
-   2  sg_p1        3.35052e+01   5.28951e-01   4.14123e-03  -3.90699e-02
-   3  sg_p2        2.94947e+00   9.95349e-01   2.87844e-02   1.61687e-02
-   4  sg_p3        2.32505e+00   3.50639e-01   7.88914e-03   4.91799e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.015e-01 -1.242e-02  4.478e-03 -8.703e-03 
- -1.242e-02  2.801e-01  6.824e-03  9.967e-03 
-  4.478e-03  6.824e-03  1.050e+00  2.470e-04 
- -8.703e-03  9.967e-03  2.470e-04  1.234e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.04741   1.000 -0.033  0.006 -0.035
-        2  0.06336  -0.033  1.000  0.013  0.054
-        3  0.01421   0.006  0.013  1.000  0.001
-        4  0.06307  -0.035  0.054  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM HESSE     STATUS=OK             27 CALLS         256 TOTAL
-                     EDM=9.40062e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.38708e+02   7.08265e-01   3.46979e-04  -4.30894e-02
-   2  sg_p1        3.35052e+01   5.29379e-01   1.65649e-04   3.58121e-01
-   3  sg_p2        2.94947e+00   1.13847e+00   1.17440e-01   1.80769e-01
-   4  sg_p3        2.32505e+00   3.50890e-01   3.15565e-04  -3.42349e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.017e-01 -1.287e-02  1.066e-02 -9.624e-03 
- -1.287e-02  2.805e-01  1.877e-02  1.130e-02 
-  1.066e-02  1.877e-02  1.401e+00  6.030e-04 
- -9.624e-03  1.130e-02  6.030e-04  1.236e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05204   1.000 -0.034  0.013 -0.039
-        2  0.07498  -0.034  1.000  0.030  0.061
-        3  0.03295   0.013  0.030  1.000  0.001
-        4  0.07086  -0.039  0.061  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-638.708 +- 0.708265
-33.5052 +- 0.529379
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10721.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.43808e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.21270e+01
-   3  sg_p2        7.95726e-01   5.00000e-01   0.00000e+00  -2.45454e+02
-   4  sg_p3        1.33597e+00   7.00000e-01  -6.66570e-01   4.99104e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM MIGRAD    STATUS=CONVERGED     213 CALLS         214 TOTAL
-                     EDM=1.33202e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61215e+02   1.25169e+00   1.34687e-03   3.04499e-03
-   2  sg_p1        1.89981e+01   1.55542e+00   3.49164e-03   1.91712e-04
-   3  sg_p2        1.45525e+00   1.90355e-01   2.29593e-03  -6.77581e-03
-   4  sg_p3        1.13503e+00   2.26730e-01   1.46146e-03   4.83701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.568e+00 -1.781e+00 -1.994e-01 -2.643e-01 
- -1.781e+00  2.456e+00  2.755e-01  3.428e-01 
- -1.994e-01  2.755e-01  3.632e-02  3.869e-02 
- -2.643e-01  3.428e-01  3.869e-02  5.154e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.93090   1.000 -0.907 -0.835 -0.930
-        2  0.97333  -0.907  1.000  0.922  0.963
-        3  0.92278  -0.835  0.922  1.000  0.894
-        4  0.97249  -0.930  0.963  0.894  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM HESSE     STATUS=OK             23 CALLS         237 TOTAL
-                     EDM=4.47094e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61215e+02   7.20486e-01   5.38748e-05   2.51223e-01
-   2  sg_p1        1.89981e+01   8.37759e-01   1.39666e-04   2.01106e-01
-   3  sg_p2        1.45525e+00   1.05708e-01   9.18371e-05  -4.31134e-01
-   4  sg_p3        1.13503e+00   1.24010e-01   5.84582e-05  -7.41920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.193e-01 -3.889e-01 -2.078e-02 -6.678e-02 
- -3.889e-01  7.049e-01  6.093e-02  9.065e-02 
- -2.078e-02  6.093e-02  1.118e-02  7.399e-03 
- -6.678e-02  9.065e-02  7.399e-03  1.539e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77269   1.000 -0.643 -0.273 -0.747
-        2  0.90365  -0.643  1.000  0.686  0.870
-        3  0.72233  -0.273  0.686  1.000  0.564
-        4  0.90460  -0.747  0.870  0.564  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.215 +- 0.720486
-18.9981 +- 0.837759
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10990.4 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -5.27265e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -9.02997e+01
-   3  sg_p2        9.67628e-01   5.00000e-01   0.00000e+00   1.90034e+02
-   4  sg_p3        1.53208e+00   7.00000e-01  -5.97119e-01   9.04631e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM MIGRAD    STATUS=CONVERGED     170 CALLS         171 TOTAL
-                     EDM=0.000119297    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.62487e+02   5.44568e-01   1.37103e-03   3.37887e-01
-   2  sg_p1        1.91861e+01   6.48831e-01   3.54018e-03   5.42529e-02
-   3  sg_p2        1.42329e+00   1.09535e-01   2.32356e-03  -1.51053e-01
-   4  sg_p3        1.14846e+00   8.06823e-02   1.37891e-03  -1.67722e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.966e-01 -7.261e-02  6.903e-03 -1.862e-02 
- -7.261e-02  4.221e-01  4.896e-02  3.840e-02 
-  6.903e-03  4.896e-02  1.201e-02  4.066e-03 
- -1.862e-02  3.840e-02  4.066e-03  6.512e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55262   1.000 -0.205  0.116 -0.424
-        2  0.83317  -0.205  1.000  0.688  0.732
-        3  0.73763   0.116  0.688  1.000  0.460
-        4  0.78506  -0.424  0.732  0.460  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM HESSE     STATUS=OK             23 CALLS         194 TOTAL
-                     EDM=0.000109915    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.62487e+02   5.36215e-01   2.74206e-04   3.04165e-01
-   2  sg_p1        1.91861e+01   6.18928e-01   7.08036e-04   2.26745e-01
-   3  sg_p2        1.42329e+00   1.07941e-01   4.64712e-04  -4.45250e-01
-   4  sg_p3        1.14846e+00   7.57926e-02   5.51562e-05  -7.36728e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.876e-01 -5.330e-02  8.935e-03 -1.590e-02 
- -5.330e-02  3.840e-01  4.525e-02  3.283e-02 
-  8.935e-03  4.525e-02  1.166e-02  3.512e-03 
- -1.590e-02  3.283e-02  3.512e-03  5.746e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53288   1.000 -0.160  0.154 -0.391
-        2  0.81480  -0.160  1.000  0.676  0.699
-        3  0.72837   0.154  0.676  1.000  0.429
-        4  0.75539  -0.391  0.699  0.429  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-662.487 +- 0.536215
-19.1861 +- 0.618928
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10453.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.71248e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.97336e+01
-   3  sg_p2        1.05577e+00   5.00000e-01   0.00000e+00   6.59080e+01
-   4  sg_p3        1.28275e+00   7.00000e-01  -6.86067e-01   1.15714e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1 added to diagonal of error matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00026 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0624e+00  1.0038e+00  2.0034e+00  2.0551e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.064428 TO DIAGONAL.
- FCN=10417.7 FROM HESSE     STATUS=NOT POSDEF     31 CALLS         501 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01   1.00195e-04  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00   3.48397e-03  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02   1.91254e-04   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02   8.43062e-05  -1.60765e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10417.7 FROM MIGRAD    STATUS=FAILED        511 CALLS         512 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01  -0.00000e+00  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00  -0.00000e+00  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02  -0.00000e+00   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02  -0.00000e+00  -1.60765e+03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.806e-02  1.899e-01  3.204e-03  1.613e-03 
-  1.899e-01  2.061e+00  3.377e-02  1.698e-02 
-  3.204e-03  3.377e-02  5.709e-04  2.868e-04 
-  1.613e-03  1.698e-02  2.868e-04  1.447e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000  0.984  0.998  0.998
-        2  0.98497   0.984  1.000  0.984  0.983
-        3  0.99849   0.998  0.984  1.000  0.998
-        4  0.99838   0.998  0.983  0.998  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10417.7 FROM HESSE     STATUS=OK             53 CALLS         565 TOTAL
-                     EDM=36.107    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.59286e+02   4.94375e-01   4.11775e-02   1.72285e-01
-   2  sg_p1        1.95932e+01   4.96180e-01   1.39359e-04   2.82846e-01
-   3  sg_p2        1.48285e+00   9.77917e-02   7.54293e-02  -4.19013e-01
-   4  sg_p3        1.30319e+00   7.96802e-02   5.20393e-02  -6.78543e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.444e-01  2.547e-03  1.237e-02 -9.665e-03 
-  2.547e-03  2.466e-01  2.750e-02  2.146e-02 
-  1.237e-02  2.750e-02  9.569e-03  2.078e-03 
- -9.665e-03  2.146e-02  2.078e-03  6.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41374   1.000  0.010  0.256 -0.245
-        2  0.69659   0.010  1.000  0.566  0.542
-        3  0.61938   0.256  0.566  1.000  0.267
-        4  0.59812  -0.245  0.542  0.267  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-659.286 +- 0.494375
-19.5932 +- 0.49618
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10619.9 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.21165e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.34414e+00
-   3  sg_p2        9.15926e-01   5.00000e-01   0.00000e+00   4.72583e+01
-   4  sg_p3        1.18271e+00   7.00000e-01  -7.23594e-01  -8.98084e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=7.5268e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61397e+02   5.44897e-01   1.34246e-03   4.14273e-01
-   2  sg_p1        1.90727e+01   5.64070e-01   3.46865e-03  -1.30068e-03
-   3  sg_p2        1.41469e+00   8.73074e-02   2.15873e-03   1.72287e-02
-   4  sg_p3        1.12865e+00   7.39900e-02   1.34213e-03   2.26005e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.970e-01 -9.007e-02  2.908e-03 -1.929e-02 
- -9.007e-02  3.188e-01  2.788e-02  2.852e-02 
-  2.908e-03  2.788e-02  7.626e-03  2.278e-03 
- -1.929e-02  2.852e-02  2.278e-03  5.476e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54360   1.000 -0.293  0.061 -0.478
-        2  0.76817  -0.293  1.000  0.566  0.683
-        3  0.61547   0.061  0.566  1.000  0.353
-        4  0.74345  -0.478  0.683  0.353  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM HESSE     STATUS=OK             23 CALLS         205 TOTAL
-                     EDM=7.54443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61397e+02   5.45454e-01   2.68492e-04   2.58749e-01
-   2  sg_p1        1.90727e+01   5.66991e-01   1.38746e-04   2.11267e-01
-   3  sg_p2        1.41469e+00   8.76116e-02   8.63490e-05  -4.49065e-01
-   4  sg_p3        1.12865e+00   7.42730e-02   2.68425e-04  -7.44396e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.976e-01 -9.125e-02  2.820e-03 -1.942e-02 
- -9.125e-02  3.221e-01  2.831e-02  2.890e-02 
-  2.820e-03  2.831e-02  7.680e-03  2.324e-03 
- -1.942e-02  2.890e-02  2.324e-03  5.518e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54492   1.000 -0.295  0.059 -0.479
-        2  0.77092  -0.295  1.000  0.569  0.685
-        3  0.61896   0.059  0.569  1.000  0.357
-        4  0.74573  -0.479  0.685  0.357  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.397 +- 0.545454
-19.0727 +- 0.566991
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10830.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.44740e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -4.26729e+01
-   3  sg_p2        1.00225e+00   5.00000e-01   0.00000e+00   7.37985e+01
-   4  sg_p3        1.39341e+00   7.00000e-01  -6.45856e-01   4.14284e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=5.54438e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61183e+02   5.58601e-01   1.30703e-03   7.27339e-02
-   2  sg_p1        1.87556e+01   6.26067e-01   3.36619e-03   1.16170e-01
-   3  sg_p2        1.45666e+00   9.85527e-02   2.30722e-03  -2.01954e-01
-   4  sg_p3        1.14103e+00   8.65798e-02   1.35416e-03  -1.57200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.121e-01 -1.357e-01 -1.260e-03 -2.677e-02 
- -1.357e-01  3.929e-01  3.854e-02  4.159e-02 
- -1.260e-03  3.854e-02  9.719e-03  3.757e-03 
- -2.677e-02  4.159e-02  3.757e-03  7.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.61009   1.000 -0.388 -0.023 -0.553
-        2  0.83171  -0.388  1.000  0.624  0.766
-        3  0.66919  -0.023  0.624  1.000  0.440
-        4  0.81600  -0.553  0.766  0.440  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM HESSE     STATUS=OK             23 CALLS         182 TOTAL
-                     EDM=5.46307e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61183e+02   5.24911e-01   5.22814e-05   2.49922e-01
-   2  sg_p1        1.87556e+01   5.52841e-01   6.73237e-04   1.68209e-01
-   3  sg_p2        1.45666e+00   9.52773e-02   4.61444e-04  -4.30514e-01
-   4  sg_p3        1.14103e+00   7.38096e-02   5.41663e-05  -7.39598e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -7.938e-02  3.701e-03 -1.800e-02 
- -7.938e-02  3.062e-01  3.107e-02  2.800e-02 
-  3.701e-03  3.107e-02  9.083e-03  2.581e-03 
- -1.800e-02  2.800e-02  2.581e-03  5.449e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53953   1.000 -0.273  0.074 -0.465
-        2  0.77793  -0.273  1.000  0.589  0.686
-        3  0.63966   0.074  0.589  1.000  0.367
-        4  0.74489  -0.465  0.686  0.367  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.183 +- 0.524911
-18.7556 +- 0.552841
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9992.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.62893e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -5.90807e+01
-   3  sg_p2        9.83939e-01   5.00000e-01   0.00000e+00   6.33616e+01
-   4  sg_p3        1.46565e+00   7.00000e-01  -6.20255e-01   8.16516e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM MIGRAD    STATUS=CONVERGED     169 CALLS         170 TOTAL
-                     EDM=0.000159227    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61178e+02   7.39572e-01   1.34451e-03  -1.70686e-01
-   2  sg_p1        1.89964e+01   8.67158e-01   3.47868e-03   7.20693e-02
-   3  sg_p2        1.45598e+00   1.10743e-01   2.29383e-03  -2.60727e-02
-   4  sg_p3        1.13815e+00   1.28466e-01   1.46277e-03  -4.42263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.471e-01 -4.069e-01 -2.161e-02 -7.041e-02 
- -4.069e-01  7.555e-01  6.659e-02  9.706e-02 
- -2.161e-02  6.659e-02  1.227e-02  8.055e-03 
- -7.041e-02  9.706e-02  8.055e-03  1.652e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.76850   1.000 -0.633 -0.264 -0.741
-        2  0.90376  -0.633  1.000  0.692  0.869
-        3  0.72860  -0.264  0.692  1.000  0.566
-        4  0.90364  -0.741  0.869  0.566  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM HESSE     STATUS=OK             23 CALLS         193 TOTAL
-                     EDM=0.000158903    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61178e+02   7.43466e-01   2.68901e-04   2.49690e-01
-   2  sg_p1        1.89964e+01   8.64124e-01   6.95735e-04   2.00873e-01
-   3  sg_p2        1.45598e+00   1.09398e-01   9.17533e-05  -4.30811e-01
-   4  sg_p3        1.13815e+00   1.28692e-01   2.92554e-04  -7.40712e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.529e-01 -4.125e-01 -2.195e-02 -7.136e-02 
- -4.125e-01  7.502e-01  6.495e-02  9.696e-02 
- -2.195e-02  6.495e-02  1.198e-02  7.923e-03 
- -7.136e-02  9.696e-02  7.923e-03  1.658e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77128   1.000 -0.641 -0.270 -0.745
-        2  0.90304  -0.641  1.000  0.685  0.870
-        3  0.72136  -0.270  0.685  1.000  0.562
-        4  0.90400  -0.745  0.870  0.562  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.178 +- 0.743466
-18.9964 +- 0.864124
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11483.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.74697e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.72491e+01
-   3  sg_p2        7.99758e-01   5.00000e-01   0.00000e+00  -2.45884e+02
-   4  sg_p3        1.30853e+00   7.00000e-01  -6.76585e-01   3.62491e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11413.9 FROM HESSE     STATUS=OK             31 CALLS         214 TOTAL
-                     EDM=0.000179347    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61256e+02   8.07788e-01   1.02475e-03   4.77630e-01
-   2  sg_p1        1.89964e+01   1.08091e+00   3.49772e-03   1.37583e-01
-   3  sg_p2        1.45364e+00   1.98903e-01   2.28196e-03  -3.12364e-01
-   4  sg_p3        1.13104e+00   1.04915e-01   1.45795e-03   2.20302e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11413.9 FROM MIGRAD    STATUS=CONVERGED     223 CALLS         224 TOTAL
-                     EDM=4.35241e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61254e+02   3.21033e-01  -6.85513e-05   2.09409e-01
-   2  sg_p1        1.89941e+01   4.43174e-01  -3.15216e-04   9.14503e-02
-   3  sg_p2        1.45327e+00   7.44907e-02  -1.59636e-04  -3.27444e-01
-   4  sg_p3        1.13082e+00   4.34031e-02  -8.50837e-05   8.12827e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.031e-01  3.647e-02  1.175e-02  3.896e-03 
-  3.647e-02  1.966e-01  1.850e-02  1.029e-02 
-  1.175e-02  1.850e-02  5.551e-03  1.469e-03 
-  3.896e-03  1.029e-02  1.469e-03  1.884e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49775   1.000  0.256  0.491  0.280
-        2  0.64400   0.256  1.000  0.560  0.535
-        3  0.67669   0.491  0.560  1.000  0.454
-        4  0.57117   0.280  0.535  0.454  1.000
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.6515e+00  2.2931e-01  1.6841e+00  6.7381e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 4.658200 TO DIAGONAL.
- FCN=11413.9 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         249 TOTAL
-                     EDM=0.0178461    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61254e+02   3.25109e+00   4.09899e-04   2.52855e-01
-   2  sg_p1        1.89941e+01   1.45159e+00   1.39909e-03   2.00554e-01
-   3  sg_p2        1.45327e+00   6.02184e-01   9.12783e-04  -4.32003e-01
-   4  sg_p3        1.13082e+00   2.35099e-02   5.83181e-04  -7.43554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.063e+01  4.733e+00 -1.984e+00 -3.774e-02 
-  4.733e+00  2.135e+00 -8.861e-01 -1.641e-02 
- -1.984e+00 -8.861e-01  3.715e-01  7.009e-03 
- -3.774e-02 -1.641e-02  7.009e-03  5.527e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99842   1.000  0.993 -0.998 -0.492
-        2  0.99509   0.993  1.000 -0.995 -0.478
-        3  0.99882  -0.998 -0.995  1.000  0.489
-        4  0.50219  -0.492 -0.478  0.489  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.254 +- 3.25109
-18.9941 +- 1.45159
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 661.215 +- 0.720486 (stat) - 1.92885 + 1.27271 (syst); -1.96221/+1.32271 (total)
-   Uncertainty on sg_p1 = 18.9981 +- 0.837759 (stat) - 0.242524 + 0.595022 (syst); -0.484023/+0.727675 (total)
-   Uncertainty on sg_p2 = 1.45525 +- 0.105708 (stat) - 0.0405567 + 0.0276059 (syst); -0.0666212/+0.0596291 (total)
-   Uncertainty on sg_p3 = 1.13503 +- 0.12401 (stat) - 0.00638242 + 0.168157 (syst); -0.0623326/+0.179225 (total)
-   === Baseline plot === </br>
-   norm = 172.355
-JEC     lnN   1.021  -
-JER     lnN   1.01174  -
-btag    lnN   1.06923  -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt
deleted file mode 100644
index 62e7bf4..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.13008 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07417    -
-JER       lnN     1.01351   - 
-JEC       lnN     1.01674   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0236949058   -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 7aa5c80..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=11.2801 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.81578e-08    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.31719e+01   1.75595e+00   2.39310e-03  -1.10521e-04
-   2  Mean         1.00082e+00   3.14264e-03   5.36666e-06   2.77743e-02
-   3  Sigma        2.36949e-02   2.95964e-03   6.37166e-05  -1.30765e-03
-1.00081608364 +/- 0.00314264221278
-0.0236949057959 +/- 0.00295963910815
-PDF lnN 1.0236949058
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/signal750_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/signal750_sig.log
deleted file mode 100644
index e4e749b..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_crystal_1_550_1200/signal750_sig.log
+++ /dev/null
@@ -1,1000 +0,0 @@
-
-Processing test.c...
-nSignal_init = 99200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28581.6 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.97285e+02
-   2  sg_p1        3.25000e+01   2.50000e+00   0.00000e+00  -5.26336e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -1.34034e+00
-   4  sg_p3        8.83623e-01   7.00000e-01  -8.44345e-01  -8.85145e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28481.9 FROM HESSE     STATUS=OK             29 CALLS         226 TOTAL
-                     EDM=0.176135    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65606e-01   1.82652e-03   1.78201e-02
-   2  sg_p1        3.85553e+01   5.02370e-01   4.68920e-03  -1.33549e-02
-   3  sg_p2        2.98442e+00   1.00281e+00   5.00000e-01  -1.40904e+00
-   4  sg_p3        1.76206e+00   9.56239e-02   3.11054e-03   1.18363e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28481.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65607e-01   1.02030e-05  -2.48246e-04
-   2  sg_p1        3.85547e+01   5.02385e-01  -5.28821e-05  -6.46421e-04
-   3  sg_p2        3.57615e+00   9.22634e-01   2.50000e-01   0.00000e+00
-   4  sg_p3        1.76174e+00   9.56180e-02  -1.05757e-04  -3.32008e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.199e-01 -1.433e-02 -2.179e-05 -1.376e-02 
- -1.433e-02  2.526e-01  6.391e-05  2.295e-02 
- -2.179e-05  6.391e-05  9.034e-01  1.802e-05 
- -1.376e-02  2.295e-02  1.802e-05  9.146e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.26700   1.000 -0.050 -0.000 -0.254
-        2  0.48307  -0.050  1.000  0.000  0.477
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.53025  -0.254  0.477  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=28481.9 FROM HESSE     STATUS=FAILED          7 CALLS         245 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.41076e+02   5.45075e-01   1.82653e-03  -1.12350e-01
-   2  sg_p1        3.85547e+01   4.39914e-01   1.87568e-03   5.05653e-01
-   3  sg_p2        2.36258e+00   1.23330e+00   2.50000e-01   4.45003e-01
-   4  sg_p3        1.76174e+00   8.10352e-02  -1.05757e-04  -5.19731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.971e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.936e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  1.703e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  6.568e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-741.076 +- 0.545075
-38.5547 +- 0.439914
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28878.9 FROM MIGRAD    STATUS=INITIATE      112 CALLS         113 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.25454e+02
-   2  sg_p1        3.56130e+01   2.50000e+00   0.00000e+00   6.94117e+01
-   3  sg_p2        1.20743e+00   5.00000e-01  -5.43373e-01  -2.30464e+01
-   4  sg_p3        1.10042e+00   7.00000e-01   0.00000e+00  -5.72255e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             29 CALLS         423 TOTAL
-                     EDM=0.262248    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01   1.86583e-03  -3.18372e-03
-   2  sg_p1        3.93530e+01   5.09571e-01   5.09296e-03   1.74419e-02
-   3  sg_p2        2.25372e+00   5.17025e-01   3.03226e-01  -3.45943e+00
-   4  sg_p3        1.81743e+00   9.76205e-02   3.26395e-03  -1.13200e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28834.9 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=1.01318e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01  -7.43401e-07  -1.39873e-04
-   2  sg_p1        3.93527e+01   5.09582e-01  -3.36925e-05  -1.24591e-03
-   3  sg_p2        2.63229e+00   5.18825e-01   1.51613e-01   0.00000e+00
-   4  sg_p3        1.81743e+00   9.76204e-02  -7.43797e-07  -3.30431e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.287e-01  8.912e-03 -6.933e-06 -1.113e-02 
-  8.912e-03  2.599e-01  3.934e-05  2.184e-02 
- -6.933e-06  3.934e-05  2.731e-01  9.253e-06 
- -1.113e-02  2.184e-02  9.253e-06  9.533e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23810   1.000  0.030 -0.000 -0.199
-        2  0.45486   0.030  1.000  0.000  0.439
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.48738  -0.199  0.439  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             31 CALLS         468 TOTAL
-                     EDM=0.968431    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.44466e+02   5.73402e-01   7.46332e-04  -1.52619e-02
-   2  sg_p1        3.93527e+01   5.10469e-01   2.03719e-03   5.80225e-01
-   3  sg_p2        2.63229e+00   6.39685e-01   5.10000e-01   5.29399e-02
-   4  sg_p3        1.81743e+00   9.78361e-02   1.30558e-03  -5.01491e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.288e-01  8.226e-03  3.816e-12 -1.124e-02 
-  8.226e-03  2.608e-01  8.047e-12  2.210e-02 
-  3.816e-12  8.047e-12  4.185e-01 -1.617e-12 
- -1.124e-02  2.210e-02 -1.617e-12  9.575e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23882   1.000  0.028  0.000 -0.200
-        2  0.45797   0.028  1.000  0.000  0.442
-        3  0.00000   0.000  0.000  1.000 -0.000
-        4  0.49076  -0.200  0.442 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-744.466 +- 0.573402
-39.3527 +- 0.510469
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28016 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00   3.75442e+02
-   2  sg_p1        3.34297e+01   2.50000e+00   7.44428e-02  -3.45085e+00
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -3.67110e-01
-   4  sg_p3        9.50531e-01   7.00000e-01   0.00000e+00  -4.25357e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.1257e+00  1.0000e+00  1.0212e+00  3.1045e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.128794 TO DIAGONAL.
- FCN=27907.7 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         189 TOTAL
-                     EDM=0.288891    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37485e+02   6.72582e+00   1.83947e-03   6.18860e+00
-   2  sg_p1        3.83510e+01   1.04522e+00   4.63621e-03   1.08179e+00
-   3  sg_p2        3.44126e+00   3.98936e+00   5.00000e-01  -6.55275e-02
-   4  sg_p3        1.83188e+00   4.34020e-01   3.32682e-03  -4.03275e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=27907.7 FROM MIGRAD    STATUS=FAILED        299 CALLS         300 TOTAL
-                     EDM=0.0114055    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37435e+02   5.50832e-01   1.82376e-03   7.13141e-01
-   2  sg_p1        3.83308e+01   4.54574e-01   4.46650e-03  -6.17184e-02
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01  -3.55749e-02
-   4  sg_p3        1.83269e+00   3.76328e-02   3.32811e-03  -3.75326e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.034e-01  1.043e-03  0.000e+00 -3.749e-03 
-  1.043e-03  2.068e-01  0.000e+00  5.570e-03 
-  0.000e+00  0.000e+00  3.813e+01  0.000e+00 
- -3.749e-03  5.570e-03  0.000e+00  1.416e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.19272   1.000  0.004  0.000 -0.181
-        2  0.33174   0.004  1.000  0.000  0.325
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.37301  -0.181  0.325  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=27907.7 FROM HESSE     STATUS=OK             29 CALLS         329 TOTAL
-                     EDM=0.0259975    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.37435e+02   5.53707e-01   3.64751e-04  -2.17856e-01
-   2  sg_p1        3.83308e+01   4.70224e-01   1.78660e-04   4.85291e-01
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01   3.71491e-01
-   4  sg_p3        1.83269e+00   1.03955e-01   8.87511e-02  -4.96528e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.066e-01 -6.417e-03  3.317e-09 -1.192e-02 
- -6.417e-03  2.212e-01 -1.340e-08  1.984e-02 
-  3.317e-09 -1.340e-08  3.813e+01 -1.310e-09 
- -1.192e-02  1.984e-02 -1.310e-09  1.081e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21706   1.000 -0.025  0.000 -0.207
-        2  0.41028  -0.025  1.000 -0.000  0.406
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.45113  -0.207  0.406 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-737.435 +- 0.553707
-38.3308 +- 0.470224
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26875.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.68092e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.28555e+02
-   3  sg_p2        9.73975e-01   5.00000e-01   0.00000e+00   1.06582e+02
-   4  sg_p3        1.78677e+00   7.00000e-01  -5.11511e-01  -3.22236e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM MIGRAD    STATUS=CONVERGED     164 CALLS         165 TOTAL
-                     EDM=2.25921e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62526e+02   3.87529e-01   1.47757e-03   1.66856e-01
-   2  sg_p1        2.37778e+01   3.73075e-01   5.01466e-03   1.71102e-02
-   3  sg_p2        1.45537e+00   7.21350e-02   3.19921e-03  -4.87398e-02
-   4  sg_p3        1.20603e+00   3.81131e-02   1.25918e-03  -2.52445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.502e-01 -1.364e-02  4.886e-03 -4.422e-03 
- -1.364e-02  1.393e-01  9.457e-03  8.215e-03 
-  4.886e-03  9.457e-03  5.205e-03  5.123e-04 
- -4.422e-03  8.215e-03  5.123e-04  1.453e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38125   1.000 -0.094  0.175 -0.299
-        2  0.62877  -0.094  1.000  0.351  0.577
-        3  0.41098   0.175  0.351  1.000  0.186
-        4  0.62880  -0.299  0.577  0.186  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM HESSE     STATUS=OK             23 CALLS         188 TOTAL
-                     EDM=2.25799e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62526e+02   3.86914e-01   2.95513e-04   4.30739e-01
-   2  sg_p1        2.37778e+01   3.70943e-01   2.00586e-04  -5.19330e-01
-   3  sg_p2        1.45537e+00   7.09082e-02   1.27968e-04  -4.31078e-01
-   4  sg_p3        1.20603e+00   3.81052e-02   2.51836e-04  -7.14737e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.497e-01 -1.520e-02  4.447e-03 -4.507e-03 
- -1.520e-02  1.377e-01  8.786e-03  8.163e-03 
-  4.447e-03  8.786e-03  5.030e-03  4.843e-04 
- -4.507e-03  8.163e-03  4.843e-04  1.452e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37767   1.000 -0.106  0.162 -0.306
-        2  0.62321  -0.106  1.000  0.334  0.577
-        3  0.39101   0.162  0.334  1.000  0.179
-        4  0.62860  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.526 +- 0.386914
-23.7778 +- 0.370943
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27294.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46095e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.72944e+02
-   3  sg_p2        7.03339e-01   5.00000e-01   0.00000e+00   4.74696e+01
-   4  sg_p3        1.99296e+00   7.00000e-01  -4.45137e-01   5.15362e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM MIGRAD    STATUS=CONVERGED     184 CALLS         185 TOTAL
-                     EDM=3.95104e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.64393e+02   4.66702e-01   1.57008e-03  -7.87347e-02
-   2  sg_p1        2.18741e+01   6.89309e-01   6.78283e-03   4.79306e-02
-   3  sg_p2        1.13032e+00   8.74630e-02   2.49913e-03  -1.65710e-02
-   4  sg_p3        1.03518e+00   4.60093e-02   1.05785e-03  -5.74757e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.178e-01  6.647e-02  1.847e-02 -1.062e-03 
-  6.647e-02  4.782e-01  4.788e-02  2.645e-02 
-  1.847e-02  4.788e-02  7.654e-03  2.499e-03 
- -1.062e-03  2.645e-02  2.499e-03  2.117e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62194   1.000  0.206  0.452 -0.049
-        2  0.90325   0.206  1.000  0.791  0.831
-        3  0.84679   0.452  0.791  1.000  0.621
-        4  0.86298  -0.049  0.831  0.621  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM HESSE     STATUS=OK             23 CALLS         208 TOTAL
-                     EDM=3.92733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.64393e+02   4.66923e-01   3.14016e-04   5.00390e-01
-   2  sg_p1        2.18741e+01   6.85574e-01   2.71313e-04  -8.48247e-01
-   3  sg_p2        1.13032e+00   8.71717e-02   9.99652e-05  -5.79816e-01
-   4  sg_p3        1.03518e+00   4.58105e-02   2.11569e-04  -7.81343e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.180e-01  6.562e-02  1.843e-02 -1.114e-03 
-  6.562e-02  4.730e-01  4.734e-02  2.614e-02 
-  1.843e-02  4.734e-02  7.603e-03  2.467e-03 
- -1.114e-03  2.614e-02  2.467e-03  2.099e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62241   1.000  0.204  0.453 -0.052
-        2  0.90213   0.204  1.000  0.789  0.830
-        3  0.84567   0.453  0.789  1.000  0.617
-        4  0.86169  -0.052  0.830  0.617  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-764.393 +- 0.466923
-21.8741 +- 0.685574
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26264.2 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46794e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.17400e+02
-   3  sg_p2        1.05302e+00   5.00000e-01   0.00000e+00   5.34210e+01
-   4  sg_p3        2.10879e+00   7.00000e-01  -4.08780e-01   9.24467e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=5.02008e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.60633e+02   4.10250e-01   1.42251e-03   1.29588e-01
-   2  sg_p1        2.27934e+01   4.40097e-01   5.56534e-03  -9.52994e-03
-   3  sg_p2        1.26768e+00   7.07747e-02   2.70462e-03  -3.34938e-03
-   4  sg_p3        1.17410e+00   3.88711e-02   1.21241e-03  -3.97072e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.683e-01  2.199e-02  1.072e-02 -2.580e-03 
-  2.199e-02  1.941e-01  1.837e-02  1.084e-02 
-  1.072e-02  1.837e-02  5.011e-03  9.405e-04 
- -2.580e-03  1.084e-02  9.405e-04  1.511e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48460   1.000  0.122  0.369 -0.162
-        2  0.74869   0.122  1.000  0.589  0.633
-        3  0.66331   0.369  0.589  1.000  0.342
-        4  0.67935  -0.162  0.633  0.342  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM HESSE     STATUS=OK             23 CALLS         197 TOTAL
-                     EDM=5.03332e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.60633e+02   4.10594e-01   2.84502e-04   3.62318e-01
-   2  sg_p1        2.27934e+01   4.40772e-01   2.22614e-04  -6.78399e-01
-   3  sg_p2        1.26768e+00   7.09147e-02   1.08185e-04  -5.15453e-01
-   4  sg_p3        1.17410e+00   3.89135e-02   4.84963e-05  -7.26883e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.686e-01  2.210e-02  1.079e-02 -2.577e-03 
-  2.210e-02  1.946e-01  1.847e-02  1.088e-02 
-  1.079e-02  1.847e-02  5.031e-03  9.476e-04 
- -2.577e-03  1.088e-02  9.476e-04  1.514e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48592   1.000  0.122  0.371 -0.161
-        2  0.74959   0.122  1.000  0.590  0.634
-        3  0.66497   0.371  0.590  1.000  0.343
-        4  0.68021  -0.161  0.634  0.343  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-760.633 +- 0.410594
-22.7934 +- 0.440772
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26499.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.41562e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.39733e+02
-   3  sg_p2        8.25062e-01   5.00000e-01   0.00000e+00   1.45082e+01
-   4  sg_p3        2.10061e+00   7.00000e-01  -4.11326e-01   8.60481e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2210e+00  1.2206e+00  2.0001e+00  2.0003e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.223025 TO DIAGONAL.
- FCN=26111.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         181 TOTAL
-                     EDM=41.1386    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62134e+02   2.03776e-03   1.58217e-05   4.03447e+01
-   2  sg_p1        2.29588e+01   1.67018e-03   5.95918e-05   2.08825e+01
-   3  sg_p2        1.19457e+00   2.72680e-04   2.72376e-05   7.30730e+01
-   4  sg_p3        1.16508e+00   2.68104e-01   1.29100e-06   8.78813e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00425 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.5660e-01 -1.6788e-04  2.0585e-14  4.4568e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.461061 TO DIAGONAL.
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=26110.6 FROM MIGRAD    STATUS=FAILED        468 CALLS         469 TOTAL
-                     EDM=1.25872e+08    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62214e+02   1.17532e-01  -0.00000e+00  -5.57867e+04
-   2  sg_p1        2.29537e+01   1.01617e-02   0.00000e+00  -1.48052e+04
-   3  sg_p2        1.18371e+00   1.47620e-02   0.00000e+00  -3.24026e+04
-   4  sg_p3        1.15581e+00   5.85135e-04   0.00000e+00  -2.25593e+04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.381e-02 -5.016e-04 -1.726e-03 -6.872e-05 
- -5.016e-04  1.033e-04  4.890e-05  2.365e-06 
- -1.726e-03  4.890e-05  2.179e-04  8.608e-06 
- -6.872e-05  2.365e-06  8.608e-06  3.424e-07 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99999   1.000 -0.420 -0.995 -0.999
-        2  0.99909  -0.420  1.000  0.326  0.398
-        3  0.99999  -0.995  0.326  1.000  0.997
-        4  0.99958  -0.999  0.398  0.997  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26110.6 FROM HESSE     STATUS=OK             31 CALLS         500 TOTAL
-                     EDM=4.07569e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62214e+02   6.72563e-04   6.72704e-05   4.19323e-01
-   2  sg_p1        2.29537e+01   5.51296e-04   2.53393e-04  -6.51238e-01
-   3  sg_p2        1.18371e+00   8.97773e-05   1.15823e-04  -5.54498e-01
-   4  sg_p3        1.15581e+00   1.57378e-04   1.66079e-04  -7.33896e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.523e-07 -1.618e-13  9.783e-15 -6.573e-13 
- -1.618e-13  3.039e-07  2.059e-14  7.746e-13 
-  9.783e-15  2.059e-14  8.060e-09  1.090e-14 
- -6.573e-13  7.746e-13  1.090e-14  2.477e-08 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00001   1.000 -0.000  0.000 -0.000
-        2  0.00001  -0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00001  -0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.214 +- 0.000672563
-22.9537 +- 0.000551296
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27208.5 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.71181e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.11815e+02
-   3  sg_p2        9.86241e-01   5.00000e-01   0.00000e+00   8.13644e+01
-   4  sg_p3        2.10880e+00   7.00000e-01  -4.08775e-01   8.43786e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM MIGRAD    STATUS=CONVERGED     251 CALLS         252 TOTAL
-                     EDM=2.19426e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62956e+02   4.19070e-01   1.45249e-03  -5.27598e-02
-   2  sg_p1        2.12954e+01   4.98544e-01   7.45088e-03   6.83394e-02
-   3  sg_p2        1.18806e+00   5.51337e-02   2.26922e-03  -3.48477e-02
-   4  sg_p3        1.02393e+00   4.08580e-02   1.04829e-03  -3.83312e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.756e-01 -5.320e-02  2.758e-03 -7.610e-03 
- -5.320e-02  2.497e-01  1.564e-02  1.606e-02 
-  2.758e-03  1.564e-02  3.040e-03  9.429e-04 
- -7.610e-03  1.606e-02  9.429e-04  1.670e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55737   1.000 -0.254  0.119 -0.444
-        2  0.82936  -0.254  1.000  0.568  0.787
-        3  0.63378   0.119  0.568  1.000  0.419
-        4  0.82799  -0.444  0.787  0.419  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM HESSE     STATUS=OK             23 CALLS         275 TOTAL
-                     EDM=2.19263e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62956e+02   4.19119e-01   5.80997e-05   4.46547e-01
-   2  sg_p1        2.12954e+01   4.95694e-01   2.98035e-04  -9.74247e-01
-   3  sg_p2        1.18806e+00   5.50237e-02   9.07687e-05  -5.52454e-01
-   4  sg_p3        1.02393e+00   4.06459e-02   2.09657e-04  -7.85881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.757e-01 -5.257e-02  2.838e-03 -7.560e-03 
- -5.257e-02  2.469e-01  1.543e-02  1.584e-02 
-  2.838e-03  1.543e-02  3.028e-03  9.269e-04 
- -7.560e-03  1.584e-02  9.269e-04  1.652e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55751   1.000 -0.252  0.123 -0.444
-        2  0.82718  -0.252  1.000  0.564  0.784
-        3  0.63189   0.123  0.564  1.000  0.414
-        4  0.82600  -0.444  0.784  0.414  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.956 +- 0.419119
-21.2954 +- 0.495694
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24938.9 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.47220e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.27544e+02
-   3  sg_p2        9.01698e-01   5.00000e-01   1.92174e-02  -8.96650e-02
-   4  sg_p3        1.90374e+00   7.00000e-01   0.00000e+00   2.84089e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM MIGRAD    STATUS=CONVERGED     280 CALLS         281 TOTAL
-                     EDM=9.56937e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62504e+02   4.01949e-01   1.47474e-03  -4.25141e-02
-   2  sg_p1        2.37637e+01   3.86910e-01   5.01010e-03  -4.75722e-02
-   3  sg_p2        1.45752e+00   7.51498e-02   3.25318e-03   8.87634e-02
-   4  sg_p3        1.20613e+00   3.95609e-02   1.25939e-03   3.14350e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.616e-01 -1.460e-02  5.296e-03 -4.757e-03 
- -1.460e-02  1.499e-01  1.026e-02  8.842e-03 
-  5.296e-03  1.026e-02  5.650e-03  5.555e-04 
- -4.757e-03  8.842e-03  5.555e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38149   1.000 -0.094  0.175 -0.299
-        2  0.62911  -0.094  1.000  0.352  0.577
-        3  0.41238   0.175  0.352  1.000  0.187
-        4  0.62872  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM HESSE     STATUS=OK             23 CALLS         304 TOTAL
-                     EDM=9.61039e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62504e+02   4.01306e-01   5.89896e-05   4.29922e-01
-   2  sg_p1        2.37637e+01   3.84472e-01   1.00202e-03  -5.21496e-01
-   3  sg_p2        1.45752e+00   7.37104e-02   1.30127e-04  -4.30134e-01
-   4  sg_p3        1.20613e+00   3.95531e-02   5.03756e-05  -7.14699e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.611e-01 -1.655e-02  4.777e-03 -4.865e-03 
- -1.655e-02  1.480e-01  9.452e-03  8.781e-03 
-  4.777e-03  9.452e-03  5.435e-03  5.216e-04 
- -4.865e-03  8.781e-03  5.216e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37788   1.000 -0.107  0.161 -0.306
-        2  0.62297  -0.107  1.000  0.333  0.577
-        3  0.39044   0.161  0.333  1.000  0.179
-        4  0.62853  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.504 +- 0.401306
-23.7637 +- 0.384472
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28920.4 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.80937e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.38006e+02
-   3  sg_p2        9.71765e-01   5.00000e-01   0.00000e+00   1.16073e+02
-   4  sg_p3        1.78443e+00   7.00000e-01  -5.12276e-01  -3.52605e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=3.69493e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62545e+02   3.73878e-01   1.47900e-03   5.87554e-02
-   2  sg_p1        2.37920e+01   3.60128e-01   5.01141e-03  -3.15083e-02
-   3  sg_p2        1.45371e+00   6.94889e-02   3.21558e-03   3.10664e-02
-   4  sg_p3        1.20626e+00   3.67580e-02   1.25830e-03   1.44527e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.398e-01 -1.256e-02  4.559e-03 -4.105e-03 
- -1.256e-02  1.298e-01  8.802e-03  7.648e-03 
-  4.559e-03  8.802e-03  4.830e-03  4.765e-04 
- -4.105e-03  7.648e-03  4.765e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38118   1.000 -0.093  0.175 -0.299
-        2  0.62894  -0.093  1.000  0.352  0.577
-        3  0.41146   0.175  0.352  1.000  0.187
-        4  0.62883  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM HESSE     STATUS=OK             23 CALLS         187 TOTAL
-                     EDM=3.68603e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62545e+02   3.73300e-01   5.91598e-05   4.31441e-01
-   2  sg_p1        2.37920e+01   3.58022e-01   1.00228e-03  -5.17141e-01
-   3  sg_p2        1.45371e+00   6.82924e-02   1.28623e-04  -4.31812e-01
-   4  sg_p3        1.20626e+00   3.67501e-02   5.03319e-05  -7.14653e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.394e-01 -1.405e-02  4.150e-03 -4.188e-03 
- -1.405e-02  1.283e-01  8.166e-03  7.599e-03 
-  4.150e-03  8.166e-03  4.665e-03  4.498e-04 
- -4.188e-03  7.599e-03  4.498e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37769   1.000 -0.105  0.163 -0.305
-        2  0.62325  -0.105  1.000  0.334  0.577
-        3  0.39121   0.163  0.334  1.000  0.179
-        4  0.62862  -0.305  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.545 +- 0.3733
-23.792 +- 0.358022
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 762.526 +- 0.386914 (stat) - 1.89298 + 1.86678 (syst); -1.90284/+1.87677 (total)
-   Uncertainty on sg_p1 = 23.7778 +- 0.370943 (stat) - 2.48235 + 0.0142669 (syst); -2.48927/+0.18602 (total)
-   Uncertainty on sg_p2 = 1.45537 +- 0.0709082 (stat) - 0.32505 + 0.00214348 (syst); -0.326977/+0.0355188 (total)
-   Uncertainty on sg_p3 = 1.20603 +- 0.0381052 (stat) - 0.182102 + 0.000222545 (syst); -0.183096/+0.0190539 (total)
-   === Baseline plot === </br>
-   norm = 206.504
-JEC     lnN   1.01674  -
-JER     lnN   1.01351  -
-btag    lnN   1.07417  -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
deleted file mode 100644
index 4cdd398..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.13008 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07417    -
-JER       lnN     1.01351   - 
-JEC       lnN     1.01674   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0236949058   -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/pdf.log
deleted file mode 100644
index 7aa5c80..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=11.2801 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.81578e-08    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.31719e+01   1.75595e+00   2.39310e-03  -1.10521e-04
-   2  Mean         1.00082e+00   3.14264e-03   5.36666e-06   2.77743e-02
-   3  Sigma        2.36949e-02   2.95964e-03   6.37166e-05  -1.30765e-03
-1.00081608364 +/- 0.00314264221278
-0.0236949057959 +/- 0.00295963910815
-PDF lnN 1.0236949058
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/signal750_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/signal750_sig.log
deleted file mode 100644
index e4e749b..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_750_novo_550_1200/signal750_sig.log
+++ /dev/null
@@ -1,1000 +0,0 @@
-
-Processing test.c...
-nSignal_init = 99200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28581.6 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.97285e+02
-   2  sg_p1        3.25000e+01   2.50000e+00   0.00000e+00  -5.26336e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -1.34034e+00
-   4  sg_p3        8.83623e-01   7.00000e-01  -8.44345e-01  -8.85145e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28481.9 FROM HESSE     STATUS=OK             29 CALLS         226 TOTAL
-                     EDM=0.176135    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65606e-01   1.82652e-03   1.78201e-02
-   2  sg_p1        3.85553e+01   5.02370e-01   4.68920e-03  -1.33549e-02
-   3  sg_p2        2.98442e+00   1.00281e+00   5.00000e-01  -1.40904e+00
-   4  sg_p3        1.76206e+00   9.56239e-02   3.11054e-03   1.18363e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28481.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65607e-01   1.02030e-05  -2.48246e-04
-   2  sg_p1        3.85547e+01   5.02385e-01  -5.28821e-05  -6.46421e-04
-   3  sg_p2        3.57615e+00   9.22634e-01   2.50000e-01   0.00000e+00
-   4  sg_p3        1.76174e+00   9.56180e-02  -1.05757e-04  -3.32008e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.199e-01 -1.433e-02 -2.179e-05 -1.376e-02 
- -1.433e-02  2.526e-01  6.391e-05  2.295e-02 
- -2.179e-05  6.391e-05  9.034e-01  1.802e-05 
- -1.376e-02  2.295e-02  1.802e-05  9.146e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.26700   1.000 -0.050 -0.000 -0.254
-        2  0.48307  -0.050  1.000  0.000  0.477
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.53025  -0.254  0.477  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=28481.9 FROM HESSE     STATUS=FAILED          7 CALLS         245 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.41076e+02   5.45075e-01   1.82653e-03  -1.12350e-01
-   2  sg_p1        3.85547e+01   4.39914e-01   1.87568e-03   5.05653e-01
-   3  sg_p2        2.36258e+00   1.23330e+00   2.50000e-01   4.45003e-01
-   4  sg_p3        1.76174e+00   8.10352e-02  -1.05757e-04  -5.19731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.971e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.936e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  1.703e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  6.568e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-741.076 +- 0.545075
-38.5547 +- 0.439914
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28878.9 FROM MIGRAD    STATUS=INITIATE      112 CALLS         113 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.25454e+02
-   2  sg_p1        3.56130e+01   2.50000e+00   0.00000e+00   6.94117e+01
-   3  sg_p2        1.20743e+00   5.00000e-01  -5.43373e-01  -2.30464e+01
-   4  sg_p3        1.10042e+00   7.00000e-01   0.00000e+00  -5.72255e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             29 CALLS         423 TOTAL
-                     EDM=0.262248    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01   1.86583e-03  -3.18372e-03
-   2  sg_p1        3.93530e+01   5.09571e-01   5.09296e-03   1.74419e-02
-   3  sg_p2        2.25372e+00   5.17025e-01   3.03226e-01  -3.45943e+00
-   4  sg_p3        1.81743e+00   9.76205e-02   3.26395e-03  -1.13200e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28834.9 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=1.01318e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01  -7.43401e-07  -1.39873e-04
-   2  sg_p1        3.93527e+01   5.09582e-01  -3.36925e-05  -1.24591e-03
-   3  sg_p2        2.63229e+00   5.18825e-01   1.51613e-01   0.00000e+00
-   4  sg_p3        1.81743e+00   9.76204e-02  -7.43797e-07  -3.30431e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.287e-01  8.912e-03 -6.933e-06 -1.113e-02 
-  8.912e-03  2.599e-01  3.934e-05  2.184e-02 
- -6.933e-06  3.934e-05  2.731e-01  9.253e-06 
- -1.113e-02  2.184e-02  9.253e-06  9.533e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23810   1.000  0.030 -0.000 -0.199
-        2  0.45486   0.030  1.000  0.000  0.439
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.48738  -0.199  0.439  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             31 CALLS         468 TOTAL
-                     EDM=0.968431    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.44466e+02   5.73402e-01   7.46332e-04  -1.52619e-02
-   2  sg_p1        3.93527e+01   5.10469e-01   2.03719e-03   5.80225e-01
-   3  sg_p2        2.63229e+00   6.39685e-01   5.10000e-01   5.29399e-02
-   4  sg_p3        1.81743e+00   9.78361e-02   1.30558e-03  -5.01491e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.288e-01  8.226e-03  3.816e-12 -1.124e-02 
-  8.226e-03  2.608e-01  8.047e-12  2.210e-02 
-  3.816e-12  8.047e-12  4.185e-01 -1.617e-12 
- -1.124e-02  2.210e-02 -1.617e-12  9.575e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23882   1.000  0.028  0.000 -0.200
-        2  0.45797   0.028  1.000  0.000  0.442
-        3  0.00000   0.000  0.000  1.000 -0.000
-        4  0.49076  -0.200  0.442 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-744.466 +- 0.573402
-39.3527 +- 0.510469
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28016 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00   3.75442e+02
-   2  sg_p1        3.34297e+01   2.50000e+00   7.44428e-02  -3.45085e+00
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -3.67110e-01
-   4  sg_p3        9.50531e-01   7.00000e-01   0.00000e+00  -4.25357e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.1257e+00  1.0000e+00  1.0212e+00  3.1045e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.128794 TO DIAGONAL.
- FCN=27907.7 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         189 TOTAL
-                     EDM=0.288891    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37485e+02   6.72582e+00   1.83947e-03   6.18860e+00
-   2  sg_p1        3.83510e+01   1.04522e+00   4.63621e-03   1.08179e+00
-   3  sg_p2        3.44126e+00   3.98936e+00   5.00000e-01  -6.55275e-02
-   4  sg_p3        1.83188e+00   4.34020e-01   3.32682e-03  -4.03275e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=27907.7 FROM MIGRAD    STATUS=FAILED        299 CALLS         300 TOTAL
-                     EDM=0.0114055    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37435e+02   5.50832e-01   1.82376e-03   7.13141e-01
-   2  sg_p1        3.83308e+01   4.54574e-01   4.46650e-03  -6.17184e-02
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01  -3.55749e-02
-   4  sg_p3        1.83269e+00   3.76328e-02   3.32811e-03  -3.75326e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.034e-01  1.043e-03  0.000e+00 -3.749e-03 
-  1.043e-03  2.068e-01  0.000e+00  5.570e-03 
-  0.000e+00  0.000e+00  3.813e+01  0.000e+00 
- -3.749e-03  5.570e-03  0.000e+00  1.416e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.19272   1.000  0.004  0.000 -0.181
-        2  0.33174   0.004  1.000  0.000  0.325
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.37301  -0.181  0.325  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=27907.7 FROM HESSE     STATUS=OK             29 CALLS         329 TOTAL
-                     EDM=0.0259975    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.37435e+02   5.53707e-01   3.64751e-04  -2.17856e-01
-   2  sg_p1        3.83308e+01   4.70224e-01   1.78660e-04   4.85291e-01
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01   3.71491e-01
-   4  sg_p3        1.83269e+00   1.03955e-01   8.87511e-02  -4.96528e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.066e-01 -6.417e-03  3.317e-09 -1.192e-02 
- -6.417e-03  2.212e-01 -1.340e-08  1.984e-02 
-  3.317e-09 -1.340e-08  3.813e+01 -1.310e-09 
- -1.192e-02  1.984e-02 -1.310e-09  1.081e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21706   1.000 -0.025  0.000 -0.207
-        2  0.41028  -0.025  1.000 -0.000  0.406
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.45113  -0.207  0.406 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-737.435 +- 0.553707
-38.3308 +- 0.470224
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26875.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.68092e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.28555e+02
-   3  sg_p2        9.73975e-01   5.00000e-01   0.00000e+00   1.06582e+02
-   4  sg_p3        1.78677e+00   7.00000e-01  -5.11511e-01  -3.22236e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM MIGRAD    STATUS=CONVERGED     164 CALLS         165 TOTAL
-                     EDM=2.25921e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62526e+02   3.87529e-01   1.47757e-03   1.66856e-01
-   2  sg_p1        2.37778e+01   3.73075e-01   5.01466e-03   1.71102e-02
-   3  sg_p2        1.45537e+00   7.21350e-02   3.19921e-03  -4.87398e-02
-   4  sg_p3        1.20603e+00   3.81131e-02   1.25918e-03  -2.52445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.502e-01 -1.364e-02  4.886e-03 -4.422e-03 
- -1.364e-02  1.393e-01  9.457e-03  8.215e-03 
-  4.886e-03  9.457e-03  5.205e-03  5.123e-04 
- -4.422e-03  8.215e-03  5.123e-04  1.453e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38125   1.000 -0.094  0.175 -0.299
-        2  0.62877  -0.094  1.000  0.351  0.577
-        3  0.41098   0.175  0.351  1.000  0.186
-        4  0.62880  -0.299  0.577  0.186  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM HESSE     STATUS=OK             23 CALLS         188 TOTAL
-                     EDM=2.25799e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62526e+02   3.86914e-01   2.95513e-04   4.30739e-01
-   2  sg_p1        2.37778e+01   3.70943e-01   2.00586e-04  -5.19330e-01
-   3  sg_p2        1.45537e+00   7.09082e-02   1.27968e-04  -4.31078e-01
-   4  sg_p3        1.20603e+00   3.81052e-02   2.51836e-04  -7.14737e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.497e-01 -1.520e-02  4.447e-03 -4.507e-03 
- -1.520e-02  1.377e-01  8.786e-03  8.163e-03 
-  4.447e-03  8.786e-03  5.030e-03  4.843e-04 
- -4.507e-03  8.163e-03  4.843e-04  1.452e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37767   1.000 -0.106  0.162 -0.306
-        2  0.62321  -0.106  1.000  0.334  0.577
-        3  0.39101   0.162  0.334  1.000  0.179
-        4  0.62860  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.526 +- 0.386914
-23.7778 +- 0.370943
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27294.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46095e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.72944e+02
-   3  sg_p2        7.03339e-01   5.00000e-01   0.00000e+00   4.74696e+01
-   4  sg_p3        1.99296e+00   7.00000e-01  -4.45137e-01   5.15362e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM MIGRAD    STATUS=CONVERGED     184 CALLS         185 TOTAL
-                     EDM=3.95104e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.64393e+02   4.66702e-01   1.57008e-03  -7.87347e-02
-   2  sg_p1        2.18741e+01   6.89309e-01   6.78283e-03   4.79306e-02
-   3  sg_p2        1.13032e+00   8.74630e-02   2.49913e-03  -1.65710e-02
-   4  sg_p3        1.03518e+00   4.60093e-02   1.05785e-03  -5.74757e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.178e-01  6.647e-02  1.847e-02 -1.062e-03 
-  6.647e-02  4.782e-01  4.788e-02  2.645e-02 
-  1.847e-02  4.788e-02  7.654e-03  2.499e-03 
- -1.062e-03  2.645e-02  2.499e-03  2.117e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62194   1.000  0.206  0.452 -0.049
-        2  0.90325   0.206  1.000  0.791  0.831
-        3  0.84679   0.452  0.791  1.000  0.621
-        4  0.86298  -0.049  0.831  0.621  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM HESSE     STATUS=OK             23 CALLS         208 TOTAL
-                     EDM=3.92733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.64393e+02   4.66923e-01   3.14016e-04   5.00390e-01
-   2  sg_p1        2.18741e+01   6.85574e-01   2.71313e-04  -8.48247e-01
-   3  sg_p2        1.13032e+00   8.71717e-02   9.99652e-05  -5.79816e-01
-   4  sg_p3        1.03518e+00   4.58105e-02   2.11569e-04  -7.81343e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.180e-01  6.562e-02  1.843e-02 -1.114e-03 
-  6.562e-02  4.730e-01  4.734e-02  2.614e-02 
-  1.843e-02  4.734e-02  7.603e-03  2.467e-03 
- -1.114e-03  2.614e-02  2.467e-03  2.099e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62241   1.000  0.204  0.453 -0.052
-        2  0.90213   0.204  1.000  0.789  0.830
-        3  0.84567   0.453  0.789  1.000  0.617
-        4  0.86169  -0.052  0.830  0.617  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-764.393 +- 0.466923
-21.8741 +- 0.685574
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26264.2 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46794e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.17400e+02
-   3  sg_p2        1.05302e+00   5.00000e-01   0.00000e+00   5.34210e+01
-   4  sg_p3        2.10879e+00   7.00000e-01  -4.08780e-01   9.24467e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=5.02008e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.60633e+02   4.10250e-01   1.42251e-03   1.29588e-01
-   2  sg_p1        2.27934e+01   4.40097e-01   5.56534e-03  -9.52994e-03
-   3  sg_p2        1.26768e+00   7.07747e-02   2.70462e-03  -3.34938e-03
-   4  sg_p3        1.17410e+00   3.88711e-02   1.21241e-03  -3.97072e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.683e-01  2.199e-02  1.072e-02 -2.580e-03 
-  2.199e-02  1.941e-01  1.837e-02  1.084e-02 
-  1.072e-02  1.837e-02  5.011e-03  9.405e-04 
- -2.580e-03  1.084e-02  9.405e-04  1.511e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48460   1.000  0.122  0.369 -0.162
-        2  0.74869   0.122  1.000  0.589  0.633
-        3  0.66331   0.369  0.589  1.000  0.342
-        4  0.67935  -0.162  0.633  0.342  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM HESSE     STATUS=OK             23 CALLS         197 TOTAL
-                     EDM=5.03332e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.60633e+02   4.10594e-01   2.84502e-04   3.62318e-01
-   2  sg_p1        2.27934e+01   4.40772e-01   2.22614e-04  -6.78399e-01
-   3  sg_p2        1.26768e+00   7.09147e-02   1.08185e-04  -5.15453e-01
-   4  sg_p3        1.17410e+00   3.89135e-02   4.84963e-05  -7.26883e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.686e-01  2.210e-02  1.079e-02 -2.577e-03 
-  2.210e-02  1.946e-01  1.847e-02  1.088e-02 
-  1.079e-02  1.847e-02  5.031e-03  9.476e-04 
- -2.577e-03  1.088e-02  9.476e-04  1.514e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48592   1.000  0.122  0.371 -0.161
-        2  0.74959   0.122  1.000  0.590  0.634
-        3  0.66497   0.371  0.590  1.000  0.343
-        4  0.68021  -0.161  0.634  0.343  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-760.633 +- 0.410594
-22.7934 +- 0.440772
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26499.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.41562e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.39733e+02
-   3  sg_p2        8.25062e-01   5.00000e-01   0.00000e+00   1.45082e+01
-   4  sg_p3        2.10061e+00   7.00000e-01  -4.11326e-01   8.60481e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2210e+00  1.2206e+00  2.0001e+00  2.0003e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.223025 TO DIAGONAL.
- FCN=26111.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         181 TOTAL
-                     EDM=41.1386    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62134e+02   2.03776e-03   1.58217e-05   4.03447e+01
-   2  sg_p1        2.29588e+01   1.67018e-03   5.95918e-05   2.08825e+01
-   3  sg_p2        1.19457e+00   2.72680e-04   2.72376e-05   7.30730e+01
-   4  sg_p3        1.16508e+00   2.68104e-01   1.29100e-06   8.78813e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00425 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.5660e-01 -1.6788e-04  2.0585e-14  4.4568e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.461061 TO DIAGONAL.
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=26110.6 FROM MIGRAD    STATUS=FAILED        468 CALLS         469 TOTAL
-                     EDM=1.25872e+08    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62214e+02   1.17532e-01  -0.00000e+00  -5.57867e+04
-   2  sg_p1        2.29537e+01   1.01617e-02   0.00000e+00  -1.48052e+04
-   3  sg_p2        1.18371e+00   1.47620e-02   0.00000e+00  -3.24026e+04
-   4  sg_p3        1.15581e+00   5.85135e-04   0.00000e+00  -2.25593e+04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.381e-02 -5.016e-04 -1.726e-03 -6.872e-05 
- -5.016e-04  1.033e-04  4.890e-05  2.365e-06 
- -1.726e-03  4.890e-05  2.179e-04  8.608e-06 
- -6.872e-05  2.365e-06  8.608e-06  3.424e-07 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99999   1.000 -0.420 -0.995 -0.999
-        2  0.99909  -0.420  1.000  0.326  0.398
-        3  0.99999  -0.995  0.326  1.000  0.997
-        4  0.99958  -0.999  0.398  0.997  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26110.6 FROM HESSE     STATUS=OK             31 CALLS         500 TOTAL
-                     EDM=4.07569e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62214e+02   6.72563e-04   6.72704e-05   4.19323e-01
-   2  sg_p1        2.29537e+01   5.51296e-04   2.53393e-04  -6.51238e-01
-   3  sg_p2        1.18371e+00   8.97773e-05   1.15823e-04  -5.54498e-01
-   4  sg_p3        1.15581e+00   1.57378e-04   1.66079e-04  -7.33896e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.523e-07 -1.618e-13  9.783e-15 -6.573e-13 
- -1.618e-13  3.039e-07  2.059e-14  7.746e-13 
-  9.783e-15  2.059e-14  8.060e-09  1.090e-14 
- -6.573e-13  7.746e-13  1.090e-14  2.477e-08 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00001   1.000 -0.000  0.000 -0.000
-        2  0.00001  -0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00001  -0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.214 +- 0.000672563
-22.9537 +- 0.000551296
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27208.5 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.71181e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.11815e+02
-   3  sg_p2        9.86241e-01   5.00000e-01   0.00000e+00   8.13644e+01
-   4  sg_p3        2.10880e+00   7.00000e-01  -4.08775e-01   8.43786e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM MIGRAD    STATUS=CONVERGED     251 CALLS         252 TOTAL
-                     EDM=2.19426e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62956e+02   4.19070e-01   1.45249e-03  -5.27598e-02
-   2  sg_p1        2.12954e+01   4.98544e-01   7.45088e-03   6.83394e-02
-   3  sg_p2        1.18806e+00   5.51337e-02   2.26922e-03  -3.48477e-02
-   4  sg_p3        1.02393e+00   4.08580e-02   1.04829e-03  -3.83312e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.756e-01 -5.320e-02  2.758e-03 -7.610e-03 
- -5.320e-02  2.497e-01  1.564e-02  1.606e-02 
-  2.758e-03  1.564e-02  3.040e-03  9.429e-04 
- -7.610e-03  1.606e-02  9.429e-04  1.670e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55737   1.000 -0.254  0.119 -0.444
-        2  0.82936  -0.254  1.000  0.568  0.787
-        3  0.63378   0.119  0.568  1.000  0.419
-        4  0.82799  -0.444  0.787  0.419  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM HESSE     STATUS=OK             23 CALLS         275 TOTAL
-                     EDM=2.19263e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62956e+02   4.19119e-01   5.80997e-05   4.46547e-01
-   2  sg_p1        2.12954e+01   4.95694e-01   2.98035e-04  -9.74247e-01
-   3  sg_p2        1.18806e+00   5.50237e-02   9.07687e-05  -5.52454e-01
-   4  sg_p3        1.02393e+00   4.06459e-02   2.09657e-04  -7.85881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.757e-01 -5.257e-02  2.838e-03 -7.560e-03 
- -5.257e-02  2.469e-01  1.543e-02  1.584e-02 
-  2.838e-03  1.543e-02  3.028e-03  9.269e-04 
- -7.560e-03  1.584e-02  9.269e-04  1.652e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55751   1.000 -0.252  0.123 -0.444
-        2  0.82718  -0.252  1.000  0.564  0.784
-        3  0.63189   0.123  0.564  1.000  0.414
-        4  0.82600  -0.444  0.784  0.414  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.956 +- 0.419119
-21.2954 +- 0.495694
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24938.9 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.47220e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.27544e+02
-   3  sg_p2        9.01698e-01   5.00000e-01   1.92174e-02  -8.96650e-02
-   4  sg_p3        1.90374e+00   7.00000e-01   0.00000e+00   2.84089e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM MIGRAD    STATUS=CONVERGED     280 CALLS         281 TOTAL
-                     EDM=9.56937e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62504e+02   4.01949e-01   1.47474e-03  -4.25141e-02
-   2  sg_p1        2.37637e+01   3.86910e-01   5.01010e-03  -4.75722e-02
-   3  sg_p2        1.45752e+00   7.51498e-02   3.25318e-03   8.87634e-02
-   4  sg_p3        1.20613e+00   3.95609e-02   1.25939e-03   3.14350e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.616e-01 -1.460e-02  5.296e-03 -4.757e-03 
- -1.460e-02  1.499e-01  1.026e-02  8.842e-03 
-  5.296e-03  1.026e-02  5.650e-03  5.555e-04 
- -4.757e-03  8.842e-03  5.555e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38149   1.000 -0.094  0.175 -0.299
-        2  0.62911  -0.094  1.000  0.352  0.577
-        3  0.41238   0.175  0.352  1.000  0.187
-        4  0.62872  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM HESSE     STATUS=OK             23 CALLS         304 TOTAL
-                     EDM=9.61039e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62504e+02   4.01306e-01   5.89896e-05   4.29922e-01
-   2  sg_p1        2.37637e+01   3.84472e-01   1.00202e-03  -5.21496e-01
-   3  sg_p2        1.45752e+00   7.37104e-02   1.30127e-04  -4.30134e-01
-   4  sg_p3        1.20613e+00   3.95531e-02   5.03756e-05  -7.14699e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.611e-01 -1.655e-02  4.777e-03 -4.865e-03 
- -1.655e-02  1.480e-01  9.452e-03  8.781e-03 
-  4.777e-03  9.452e-03  5.435e-03  5.216e-04 
- -4.865e-03  8.781e-03  5.216e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37788   1.000 -0.107  0.161 -0.306
-        2  0.62297  -0.107  1.000  0.333  0.577
-        3  0.39044   0.161  0.333  1.000  0.179
-        4  0.62853  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.504 +- 0.401306
-23.7637 +- 0.384472
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28920.4 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.80937e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.38006e+02
-   3  sg_p2        9.71765e-01   5.00000e-01   0.00000e+00   1.16073e+02
-   4  sg_p3        1.78443e+00   7.00000e-01  -5.12276e-01  -3.52605e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=3.69493e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62545e+02   3.73878e-01   1.47900e-03   5.87554e-02
-   2  sg_p1        2.37920e+01   3.60128e-01   5.01141e-03  -3.15083e-02
-   3  sg_p2        1.45371e+00   6.94889e-02   3.21558e-03   3.10664e-02
-   4  sg_p3        1.20626e+00   3.67580e-02   1.25830e-03   1.44527e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.398e-01 -1.256e-02  4.559e-03 -4.105e-03 
- -1.256e-02  1.298e-01  8.802e-03  7.648e-03 
-  4.559e-03  8.802e-03  4.830e-03  4.765e-04 
- -4.105e-03  7.648e-03  4.765e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38118   1.000 -0.093  0.175 -0.299
-        2  0.62894  -0.093  1.000  0.352  0.577
-        3  0.41146   0.175  0.352  1.000  0.187
-        4  0.62883  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM HESSE     STATUS=OK             23 CALLS         187 TOTAL
-                     EDM=3.68603e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62545e+02   3.73300e-01   5.91598e-05   4.31441e-01
-   2  sg_p1        2.37920e+01   3.58022e-01   1.00228e-03  -5.17141e-01
-   3  sg_p2        1.45371e+00   6.82924e-02   1.28623e-04  -4.31812e-01
-   4  sg_p3        1.20626e+00   3.67501e-02   5.03319e-05  -7.14653e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.394e-01 -1.405e-02  4.150e-03 -4.188e-03 
- -1.405e-02  1.283e-01  8.166e-03  7.599e-03 
-  4.150e-03  8.166e-03  4.665e-03  4.498e-04 
- -4.188e-03  7.599e-03  4.498e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37769   1.000 -0.105  0.163 -0.305
-        2  0.62325  -0.105  1.000  0.334  0.577
-        3  0.39121   0.163  0.334  1.000  0.179
-        4  0.62862  -0.305  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.545 +- 0.3733
-23.792 +- 0.358022
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 762.526 +- 0.386914 (stat) - 1.89298 + 1.86678 (syst); -1.90284/+1.87677 (total)
-   Uncertainty on sg_p1 = 23.7778 +- 0.370943 (stat) - 2.48235 + 0.0142669 (syst); -2.48927/+0.18602 (total)
-   Uncertainty on sg_p2 = 1.45537 +- 0.0709082 (stat) - 0.32505 + 0.00214348 (syst); -0.326977/+0.0355188 (total)
-   Uncertainty on sg_p3 = 1.20603 +- 0.0381052 (stat) - 0.182102 + 0.000222545 (syst); -0.183096/+0.0190539 (total)
-   === Baseline plot === </br>
-   norm = 206.504
-JEC     lnN   1.01674  -
-JER     lnN   1.01351  -
-btag    lnN   1.07417  -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt
deleted file mode 100644
index f08ad78..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.34388 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07603    -
-JER       lnN     1.01239   - 
-JEC       lnN     1.00978   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02582057265   -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 5c6918c..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=11.654 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=8.09882e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.23667e+01   1.57858e+00   2.28932e-03  -7.62719e-04
-   2  Mean         9.96794e-01   3.97718e-03   5.94251e-06   1.30367e-01
-   3  Sigma        2.58206e-02   3.15532e-03   5.93010e-05  -1.75592e-02
-0.996794053439 +/- 0.00397717769168
-0.0258205726549 +/- 0.00315531854748
-PDF lnN 1.02582057265
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/signal800_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/signal800_sig.log
deleted file mode 100644
index 9bb688f..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_crystal_1_550_1200/signal800_sig.log
+++ /dev/null
@@ -1,986 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30655.7 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -1.30426e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -1.66737e+02
-   3  sg_p2        2.94124e+00   5.00000e-01   0.00000e+00  -1.49475e-01
-   4  sg_p3        1.57852e+00   7.00000e-01  -5.81159e-01   2.58563e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM MIGRAD    STATUS=CONVERGED     151 CALLS         152 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   1.11551e-01
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   1.05806e-01
-   3  sg_p2        4.91276e+00   3.42658e+00  -3.03050e-03   0.00000e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -1.47920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM HESSE     STATUS=FAILED          7 CALLS         159 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   8.63427e-03
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   2.27549e-01
-   3  sg_p2        4.30353e+00   3.12197e+00  -3.03050e-03   1.30584e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -4.65886e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-790.259 +- 0.537023
-40.3199 +- 0.416552
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30957.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -4.59580e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -2.30328e+02
-   3  sg_p2        1.77977e+00   5.00000e-01   0.00000e+00   5.54337e-01
-   4  sg_p3        1.71207e+00   7.00000e-01  -5.36159e-01   1.57191e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02296 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.52673e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57072e-01   2.22239e-03   2.71391e-03
-   2  sg_p1        4.08795e+01   4.57494e-01   4.30357e-03   8.95731e-02
-   3  sg_p2        2.60706e+00   9.43716e-01   4.61396e-02  -1.14830e-02
-   4  sg_p3        1.95465e+00   1.29415e-01   4.57004e-03  -4.88228e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02637 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM MIGRAD    STATUS=CONVERGED     377 CALLS         378 TOTAL
-                     EDM=5.46872e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57319e-01   8.88956e-04  -1.24563e-04
-   2  sg_p1        4.08783e+01   4.58216e-01   1.72143e-03  -1.67615e-04
-   3  sg_p2        2.61137e+00   9.86696e-01   4.70300e-02  -5.75769e-03
-   4  sg_p3        1.95475e+00   1.29727e-01   1.82801e-03   4.70590e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.106e-01 -1.282e-02  1.973e-11 -1.514e-02 
- -1.282e-02  2.101e-01 -3.231e-10  2.168e-02 
-  1.973e-11 -3.231e-10  1.029e+00 -3.334e-11 
- -1.514e-02  2.168e-02 -3.334e-11  1.684e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21127   1.000 -0.050  0.000 -0.209
-        2  0.36542  -0.050  1.000 -0.000  0.364
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.41162  -0.209  0.364 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             29 CALLS         407 TOTAL
-                     EDM=1.45739e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.93825e+02   5.57488e-01   3.55582e-05   1.27840e-01
-   2  sg_p1        4.08783e+01   4.58705e-01   6.88571e-05   2.73664e-01
-   3  sg_p2        2.61137e+00   3.15165e-01   3.77936e-01   4.45612e-02
-   4  sg_p3        1.95475e+00   1.29897e-01   7.31206e-05  -4.57269e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.108e-01 -1.327e-02  9.363e-11 -1.527e-02 
- -1.327e-02  2.105e-01 -6.593e-11  2.188e-02 
-  9.363e-11 -6.593e-11  9.986e-02  1.258e-11 
- -1.527e-02  2.188e-02  1.258e-11  1.688e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21263   1.000 -0.052  0.000 -0.211
-        2  0.36794  -0.052  1.000 -0.000  0.367
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.41424  -0.211  0.367  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-793.825 +- 0.557488
-40.8783 +- 0.458705
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30291.5 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00   1.95885e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -7.27088e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -9.73752e-02
-   4  sg_p3        1.38901e+00   7.00000e-01  -6.47432e-01   2.33654e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=8.78757e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.86674e+02   5.58720e-01   2.15921e-03  -1.99988e-01
-   2  sg_p1        4.00594e+01   4.59169e-01   4.05661e-03   3.84165e-02
-   3  sg_p2        2.51479e+00   3.25925e-01   2.03755e-02   4.90232e-02
-   4  sg_p3        1.92655e+00   1.49829e-01   4.93143e-03   8.21834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.122e-01 -3.425e-02  1.692e-03 -2.360e-02 
- -3.425e-02  2.109e-01  3.630e-03  2.988e-02 
-  1.692e-03  3.630e-03  1.068e-01  4.290e-04 
- -2.360e-02  2.988e-02  4.290e-04  2.247e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28235   1.000 -0.133  0.009 -0.282
-        2  0.43476  -0.133  1.000  0.024  0.434
-        3  0.02730   0.009  0.024  1.000  0.009
-        4  0.48938  -0.282  0.434  0.009  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM HESSE     STATUS=OK             33 CALLS         196 TOTAL
-                     EDM=6.62467e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.86674e+02   5.59678e-01   4.31843e-04  -1.11107e-01
-   2  sg_p1        4.00594e+01   4.61116e-01   1.62264e-04   2.06214e-01
-   3  sg_p2        2.51479e+00   2.22927e-01   4.53587e-01   5.91504e-03
-   4  sg_p3        1.92655e+00   1.50658e-01   1.97257e-04  -4.66270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.133e-01 -3.601e-02  1.955e-04 -2.426e-02 
- -3.601e-02  2.127e-01  4.139e-04  3.075e-02 
-  1.955e-04  4.139e-04  4.983e-02  4.614e-05 
- -2.426e-02  3.075e-02  4.614e-05  2.272e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28788   1.000 -0.140  0.002 -0.288
-        2  0.44255  -0.140  1.000  0.004  0.442
-        3  0.00456   0.002  0.004  1.000  0.001
-        4  0.49768  -0.288  0.442  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-786.674 +- 0.559678
-40.0594 +- 0.461116
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29080.5 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.86811e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.59388e+01
-   3  sg_p2        1.11453e+00   5.00000e-01   0.00000e+00   1.02248e+02
-   4  sg_p3        1.01032e+00   7.00000e-01  -7.91400e-01  -4.01707e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=2.80961e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14374e+02   3.98724e-01   1.45304e-03  -1.70387e-01
-   2  sg_p1        2.58336e+01   3.59782e-01   4.89449e-03   8.13003e-02
-   3  sg_p2        1.67359e+00   7.19571e-02   3.19487e-03   5.88230e-02
-   4  sg_p3        1.19124e+00   3.46142e-02   1.23219e-03  -4.28854e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.590e-01 -2.453e-02  3.541e-03 -4.624e-03 
- -2.453e-02  1.296e-01  1.051e-02  6.871e-03 
-  3.541e-03  1.051e-02  5.179e-03  5.110e-04 
- -4.624e-03  6.871e-03  5.110e-04  1.198e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39250   1.000 -0.171  0.123 -0.335
-        2  0.62921  -0.171  1.000  0.406  0.551
-        3  0.45197   0.123  0.406  1.000  0.205
-        4  0.60406  -0.335  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM HESSE     STATUS=OK             23 CALLS         232 TOTAL
-                     EDM=2.80811e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14374e+02   3.98978e-01   2.90608e-04   1.46314e-01
-   2  sg_p1        2.58336e+01   3.61130e-01   1.95780e-04   4.60594e-01
-   3  sg_p2        1.67359e+00   7.21418e-02   1.27795e-04  -3.36900e-01
-   4  sg_p3        1.19124e+00   3.46971e-02   2.46437e-04  -7.20348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.592e-01 -2.477e-02  3.557e-03 -4.644e-03 
- -2.477e-02  1.305e-01  1.069e-02  6.950e-03 
-  3.557e-03  1.069e-02  5.206e-03  5.225e-04 
- -4.644e-03  6.950e-03  5.225e-04  1.204e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39387   1.000 -0.172  0.124 -0.335
-        2  0.63278  -0.172  1.000  0.410  0.554
-        3  0.45643   0.124  0.410  1.000  0.209
-        4  0.60656  -0.335  0.554  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.374 +- 0.398978
-25.8336 +- 0.36113
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29394.8 FROM MIGRAD    STATUS=INITIATE       76 CALLS          77 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.09344e+02   6.00000e+00   0.00000e+00  -9.04905e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.79169e+02
-   3  sg_p2        1.02066e+00   5.00000e-01   0.00000e+00   2.33092e+02
-   4  sg_p3        1.24736e+00   7.00000e-01  -6.99207e-01   3.18929e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM MIGRAD    STATUS=CONVERGED     227 CALLS         228 TOTAL
-                     EDM=6.02107e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.15934e+02   4.09344e-01   1.49430e-03  -1.08719e-01
-   2  sg_p1        2.62317e+01   4.03039e-01   5.19030e-03   1.33417e-01
-   3  sg_p2        1.65790e+00   9.28346e-02   3.66697e-03   4.58391e-02
-   4  sg_p3        1.21792e+00   3.62585e-02   1.27250e-03  -4.88031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.676e-01 -5.450e-03  9.103e-03 -3.808e-03 
- -5.450e-03  1.626e-01  2.111e-02  8.287e-03 
-  9.103e-03  2.111e-02  8.623e-03  9.650e-04 
- -3.808e-03  8.287e-03  9.650e-04  1.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41684   1.000 -0.033  0.239 -0.257
-        2  0.70520  -0.033  1.000  0.564  0.567
-        3  0.62110   0.239  0.564  1.000  0.287
-        4  0.61571  -0.257  0.567  0.287  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM HESSE     STATUS=OK             23 CALLS         251 TOTAL
-                     EDM=6.06559e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.15934e+02   4.09665e-01   2.98861e-04   1.99109e-01
-   2  sg_p1        2.62317e+01   4.05359e-01   1.03806e-03   5.20781e-01
-   3  sg_p2        1.65790e+00   9.33088e-02   1.46679e-04  -3.43559e-01
-   4  sg_p3        1.21792e+00   3.63707e-02   2.54500e-04  -7.10248e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.678e-01 -5.327e-03  9.198e-03 -3.807e-03 
- -5.327e-03  1.645e-01  2.154e-02  8.414e-03 
-  9.198e-03  2.154e-02  8.711e-03  9.903e-04 
- -3.807e-03  8.414e-03  9.903e-04  1.323e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41838   1.000 -0.032  0.241 -0.256
-        2  0.70926  -0.032  1.000  0.569  0.570
-        3  0.62607   0.241  0.569  1.000  0.292
-        4  0.61881  -0.256  0.570  0.292  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-815.934 +- 0.409665
-26.2317 +- 0.405359
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28612.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -3.00114e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.67115e+02
-   3  sg_p2        1.20214e+00   5.00000e-01   0.00000e+00   4.55233e+01
-   4  sg_p3        1.18762e+00   7.00000e-01  -7.21725e-01   3.91659e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.9336e-01  9.8220e-01  1.9260e+00  1.9851e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.895346 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         216 TOTAL
-                     EDM=0.158425    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12468e+02   1.41859e+00   1.44554e-03   6.97099e+00
-   2  sg_p1        2.52532e+01   1.08302e+00   4.75756e-03  -1.78654e+00
-   3  sg_p2        1.59901e+00   3.19025e-01   4.11832e-03  -4.02743e+00
-   4  sg_p3        1.18510e+00   2.53698e-02   1.13700e-04   9.82264e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00001 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=28570.4 FROM MIGRAD    STATUS=FAILED        279 CALLS         280 TOTAL
-                     EDM=10.5145    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12542e+02   1.94194e+01  -0.00000e+00   1.21944e+01
-   2  sg_p1        2.53088e+01   4.51787e+00  -0.00000e+00   3.98569e-01
-   3  sg_p2        1.61558e+00   1.51911e+00   0.00000e+00  -5.79777e+00
-   4  sg_p3        1.18237e+00   1.70381e+00  -0.00000e+00   1.97176e+02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.468e+02  5.233e-03  1.508e-03  6.862e-04 
-  5.233e-03  2.418e+01 -1.914e-04  5.328e-04 
-  1.508e-03 -1.914e-04  2.734e+00  1.653e-04 
-  6.862e-04  5.328e-04  1.653e-04  3.439e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00007   1.000  0.000  0.000  0.000
-        2  0.00008   0.000  1.000 -0.000  0.000
-        3  0.00007   0.000 -0.000  1.000  0.000
-        4  0.00008   0.000  0.000  0.000  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2546e+02 -1.0036e+01  1.2036e+01  1.2746e+02
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 125.585418 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         305 TOTAL
-                     EDM=0.206098    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.12542e+02   3.32392e-02   4.24522e-04   8.48346e-02
-   2  sg_p1        2.53088e+01   5.64200e-01   1.39644e-03   3.83861e-01
-   3  sg_p2        1.61558e+00   1.70424e-01   1.23980e-03  -3.61595e-01
-   4  sg_p3        1.18237e+00   2.19991e-04   3.58849e-04  -7.23724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.105e-03 -1.843e-03  5.571e-04  6.264e-07 
- -1.843e-03  3.190e-01 -9.625e-02  1.380e-06 
-  5.571e-04 -9.625e-02  2.910e-02 -4.175e-07 
-  6.264e-07  1.380e-06 -4.175e-07  4.840e-08 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.13108   1.000 -0.098  0.098  0.086
-        2  0.99899  -0.098  1.000 -0.999  0.011
-        3  0.99899   0.098 -0.999  1.000 -0.011
-        4  0.08788   0.086  0.011 -0.011  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-812.542 +- 0.0332392
-25.3088 +- 0.5642
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28766.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -7.66248e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -9.03266e+01
-   3  sg_p2        1.08494e+00   5.00000e-01   0.00000e+00   1.09698e+02
-   4  sg_p3        1.05971e+00   7.00000e-01  -7.71521e-01  -1.09172e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=5.14966e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14565e+02   4.05653e-01   1.46940e-03   3.96359e-01
-   2  sg_p1        2.60283e+01   3.68198e-01   5.02230e-03   5.50486e-02
-   3  sg_p2        1.66109e+00   7.22853e-02   3.19557e-03   8.70441e-02
-   4  sg_p3        1.18488e+00   3.46494e-02   1.22798e-03  -1.02684e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.646e-01 -2.497e-02  3.759e-03 -4.697e-03 
- -2.497e-02  1.357e-01  1.103e-02  7.081e-03 
-  3.759e-03  1.103e-02  5.227e-03  5.271e-04 
- -4.697e-03  7.081e-03  5.271e-04  1.201e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39503   1.000 -0.167  0.128 -0.334
-        2  0.63439  -0.167  1.000  0.414  0.555
-        3  0.46146   0.128  0.414  1.000  0.210
-        4  0.60729  -0.334  0.555  0.210  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=5.16859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14565e+02   4.05931e-01   2.93880e-04   1.52758e-01
-   2  sg_p1        2.60283e+01   3.69660e-01   2.00892e-04   4.89788e-01
-   3  sg_p2        1.66109e+00   7.24828e-02   1.27823e-04  -3.42202e-01
-   4  sg_p3        1.18488e+00   3.47387e-02   4.91192e-05  -7.22769e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.648e-01 -2.523e-02  3.775e-03 -4.720e-03 
- -2.523e-02  1.368e-01  1.122e-02  7.167e-03 
-  3.775e-03  1.122e-02  5.255e-03  5.394e-04 
- -4.720e-03  7.167e-03  5.394e-04  1.207e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39649   1.000 -0.168  0.128 -0.335
-        2  0.63810  -0.168  1.000  0.419  0.558
-        3  0.46606   0.128  0.419  1.000  0.214
-        4  0.60995  -0.335  0.558  0.214  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.565 +- 0.405931
-26.0283 +- 0.36966
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29348.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -6.36592e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.83918e+02
-   3  sg_p2        1.15597e+00   5.00000e-01   0.00000e+00   8.24903e+01
-   4  sg_p3        1.21818e+00   7.00000e-01  -7.10151e-01   3.68287e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.20841e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14234e+02   3.90817e-01   1.43143e-03  -2.25892e-01
-   2  sg_p1        2.55644e+01   3.48997e-01   4.72433e-03   4.76414e-02
-   3  sg_p2        1.70026e+00   7.24860e-02   3.26136e-03  -2.01102e-02
-   4  sg_p3        1.19325e+00   3.43060e-02   1.23128e-03  -1.60765e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.527e-01 -2.472e-02  3.207e-03 -4.545e-03 
- -2.472e-02  1.219e-01  9.868e-03  6.557e-03 
-  3.207e-03  9.868e-03  5.256e-03  4.874e-04 
- -4.545e-03  6.557e-03  4.874e-04  1.177e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39017   1.000 -0.181  0.113 -0.339
-        2  0.62081  -0.181  1.000  0.390  0.547
-        3  0.43378   0.113  0.390  1.000  0.196
-        4  0.60004  -0.339  0.547  0.196  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=1.20945e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14234e+02   3.91082e-01   2.86287e-04   1.41589e-01
-   2  sg_p1        2.55644e+01   3.50246e-01   1.88973e-04   4.20910e-01
-   3  sg_p2        1.70026e+00   7.26609e-02   1.30454e-04  -3.25619e-01
-   4  sg_p3        1.19325e+00   3.43857e-02   4.92513e-05  -7.19583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.530e-01 -2.496e-02  3.222e-03 -4.567e-03 
- -2.496e-02  1.228e-01  1.004e-02  6.630e-03 
-  3.222e-03  1.004e-02  5.281e-03  4.983e-04 
- -4.567e-03  6.630e-03  4.983e-04  1.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39164   1.000 -0.182  0.113 -0.340
-        2  0.62433  -0.182  1.000  0.394  0.550
-        3  0.43823   0.113  0.394  1.000  0.199
-        4  0.60250  -0.340  0.550  0.199  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.234 +- 0.391082
-25.5644 +- 0.350246
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26933.9 FROM MIGRAD    STATUS=INITIATE       65 CALLS          66 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.02085e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -6.48182e+01
-   3  sg_p2        1.12090e+00   5.00000e-01   0.00000e+00   8.31490e+01
-   4  sg_p3        1.00741e+00   7.00000e-01  -7.92584e-01  -3.93256e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM MIGRAD    STATUS=CONVERGED     255 CALLS         256 TOTAL
-                     EDM=5.05705e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14343e+02   4.13939e-01   1.45196e-03  -9.37591e-03
-   2  sg_p1        2.58276e+01   3.73340e-01   4.89042e-03   1.50340e-02
-   3  sg_p2        1.67484e+00   7.48885e-02   3.20560e-03  -1.09220e-03
-   4  sg_p3        1.19229e+00   3.59871e-02   1.23468e-03  -4.69920e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.714e-01 -2.629e-02  3.837e-03 -4.978e-03 
- -2.629e-02  1.395e-01  1.135e-02  7.403e-03 
-  3.837e-03  1.135e-02  5.610e-03  5.519e-04 
- -4.978e-03  7.403e-03  5.519e-04  1.295e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39181   1.000 -0.170  0.124 -0.334
-        2  0.62863  -0.170  1.000  0.406  0.551
-        3  0.45181   0.124  0.406  1.000  0.205
-        4  0.60326  -0.334  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM HESSE     STATUS=OK             23 CALLS         279 TOTAL
-                     EDM=5.06656e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14343e+02   4.14229e-01   5.80783e-05   1.45269e-01
-   2  sg_p1        2.58276e+01   3.74765e-01   1.95617e-04   4.59703e-01
-   3  sg_p2        1.67484e+00   7.50817e-02   1.28224e-04  -3.36369e-01
-   4  sg_p3        1.19229e+00   3.60762e-02   4.93874e-05  -7.19948e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.716e-01 -2.658e-02  3.854e-03 -5.003e-03 
- -2.658e-02  1.406e-01  1.154e-02  7.491e-03 
-  3.854e-03  1.154e-02  5.639e-03  5.644e-04 
- -5.003e-03  7.491e-03  5.644e-04  1.302e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39332   1.000 -0.171  0.124 -0.335
-        2  0.63227  -0.171  1.000  0.410  0.554
-        3  0.45629   0.124  0.410  1.000  0.208
-        4  0.60585  -0.335  0.554  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.343 +- 0.414229
-25.8276 +- 0.374765
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31351.8 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -9.46989e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.83441e+01
-   3  sg_p2        1.10816e+00   5.00000e-01   0.00000e+00   1.09432e+02
-   4  sg_p3        1.01312e+00   7.00000e-01  -7.90261e-01  -4.08568e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM MIGRAD    STATUS=CONVERGED     190 CALLS         191 TOTAL
-                     EDM=0.000282451    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14404e+02   3.84308e-01   1.45349e-03  -2.57491e-01
-   2  sg_p1        2.58356e+01   3.46779e-01   4.90055e-03  -2.87296e-01
-   3  sg_p2        1.67287e+00   6.92592e-02   3.19853e-03   5.88350e-01
-   4  sg_p3        1.19029e+00   3.33252e-02   1.23266e-03   1.10421e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.477e-01 -2.290e-02  3.276e-03 -4.302e-03 
- -2.290e-02  1.204e-01  9.759e-03  6.385e-03 
-  3.276e-03  9.759e-03  4.798e-03  4.745e-04 
- -4.302e-03  6.385e-03  4.745e-04  1.111e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39330   1.000 -0.172  0.123 -0.336
-        2  0.62986  -0.172  1.000  0.406  0.552
-        3  0.45226   0.123  0.406  1.000  0.206
-        4  0.60490  -0.336  0.552  0.206  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM HESSE     STATUS=OK             23 CALLS         214 TOTAL
-                     EDM=0.000282194    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14404e+02   3.84550e-01   2.90698e-04   1.47348e-01
-   2  sg_p1        2.58356e+01   3.47902e-01   9.80110e-04   4.60888e-01
-   3  sg_p2        1.67287e+00   6.94090e-02   6.39706e-04  -3.37208e-01
-   4  sg_p3        1.19029e+00   3.33968e-02   4.93065e-05  -7.20709e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.479e-01 -2.313e-02  3.287e-03 -4.322e-03 
- -2.313e-02  1.211e-01  9.898e-03  6.450e-03 
-  3.287e-03  9.898e-03  4.819e-03  4.836e-04 
- -4.322e-03  6.450e-03  4.836e-04  1.115e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39464   1.000 -0.173  0.123 -0.336
-        2  0.63294  -0.173  1.000  0.410  0.555
-        3  0.45602   0.123  0.410  1.000  0.209
-        4  0.60714  -0.336  0.555  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.404 +- 0.38455
-25.8356 +- 0.347902
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 814.374 +- 0.398978 (stat) - 1.83178 + 1.56012 (syst); -1.84261/+1.57282 (total)
-   Uncertainty on sg_p1 = 25.8336 +- 0.36113 (stat) - 0.524827 + 0.398085 (syst); -0.55502/+0.437122 (total)
-   Uncertainty on sg_p2 = 1.67359 +- 0.0721418 (stat) - 0.0580086 + 0.0266696 (syst); -0.0683089/+0.0448595 (total)
-   Uncertainty on sg_p3 = 1.19124 +- 0.0346971 (stat) - 0.00886586 + 0.0266863 (syst); -0.0194827/+0.0318297 (total)
-   === Baseline plot === </br>
-   norm = 217.194
-JEC     lnN   1.00978  -
-JER     lnN   1.01239  -
-btag    lnN   1.07603  -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
deleted file mode 100644
index 893f9c6..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.34388 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07603    -
-JER       lnN     1.01239   - 
-JEC       lnN     1.00978   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02582057265   -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/pdf.log
deleted file mode 100644
index 5c6918c..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=11.654 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=8.09882e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.23667e+01   1.57858e+00   2.28932e-03  -7.62719e-04
-   2  Mean         9.96794e-01   3.97718e-03   5.94251e-06   1.30367e-01
-   3  Sigma        2.58206e-02   3.15532e-03   5.93010e-05  -1.75592e-02
-0.996794053439 +/- 0.00397717769168
-0.0258205726549 +/- 0.00315531854748
-PDF lnN 1.02582057265
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/signal800_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/signal800_sig.log
deleted file mode 100644
index 9bb688f..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_800_novo_550_1200/signal800_sig.log
+++ /dev/null
@@ -1,986 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30655.7 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -1.30426e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -1.66737e+02
-   3  sg_p2        2.94124e+00   5.00000e-01   0.00000e+00  -1.49475e-01
-   4  sg_p3        1.57852e+00   7.00000e-01  -5.81159e-01   2.58563e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM MIGRAD    STATUS=CONVERGED     151 CALLS         152 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   1.11551e-01
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   1.05806e-01
-   3  sg_p2        4.91276e+00   3.42658e+00  -3.03050e-03   0.00000e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -1.47920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM HESSE     STATUS=FAILED          7 CALLS         159 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   8.63427e-03
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   2.27549e-01
-   3  sg_p2        4.30353e+00   3.12197e+00  -3.03050e-03   1.30584e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -4.65886e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-790.259 +- 0.537023
-40.3199 +- 0.416552
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30957.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -4.59580e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -2.30328e+02
-   3  sg_p2        1.77977e+00   5.00000e-01   0.00000e+00   5.54337e-01
-   4  sg_p3        1.71207e+00   7.00000e-01  -5.36159e-01   1.57191e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02296 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.52673e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57072e-01   2.22239e-03   2.71391e-03
-   2  sg_p1        4.08795e+01   4.57494e-01   4.30357e-03   8.95731e-02
-   3  sg_p2        2.60706e+00   9.43716e-01   4.61396e-02  -1.14830e-02
-   4  sg_p3        1.95465e+00   1.29415e-01   4.57004e-03  -4.88228e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02637 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM MIGRAD    STATUS=CONVERGED     377 CALLS         378 TOTAL
-                     EDM=5.46872e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57319e-01   8.88956e-04  -1.24563e-04
-   2  sg_p1        4.08783e+01   4.58216e-01   1.72143e-03  -1.67615e-04
-   3  sg_p2        2.61137e+00   9.86696e-01   4.70300e-02  -5.75769e-03
-   4  sg_p3        1.95475e+00   1.29727e-01   1.82801e-03   4.70590e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.106e-01 -1.282e-02  1.973e-11 -1.514e-02 
- -1.282e-02  2.101e-01 -3.231e-10  2.168e-02 
-  1.973e-11 -3.231e-10  1.029e+00 -3.334e-11 
- -1.514e-02  2.168e-02 -3.334e-11  1.684e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21127   1.000 -0.050  0.000 -0.209
-        2  0.36542  -0.050  1.000 -0.000  0.364
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.41162  -0.209  0.364 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             29 CALLS         407 TOTAL
-                     EDM=1.45739e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.93825e+02   5.57488e-01   3.55582e-05   1.27840e-01
-   2  sg_p1        4.08783e+01   4.58705e-01   6.88571e-05   2.73664e-01
-   3  sg_p2        2.61137e+00   3.15165e-01   3.77936e-01   4.45612e-02
-   4  sg_p3        1.95475e+00   1.29897e-01   7.31206e-05  -4.57269e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.108e-01 -1.327e-02  9.363e-11 -1.527e-02 
- -1.327e-02  2.105e-01 -6.593e-11  2.188e-02 
-  9.363e-11 -6.593e-11  9.986e-02  1.258e-11 
- -1.527e-02  2.188e-02  1.258e-11  1.688e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21263   1.000 -0.052  0.000 -0.211
-        2  0.36794  -0.052  1.000 -0.000  0.367
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.41424  -0.211  0.367  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-793.825 +- 0.557488
-40.8783 +- 0.458705
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30291.5 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00   1.95885e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -7.27088e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -9.73752e-02
-   4  sg_p3        1.38901e+00   7.00000e-01  -6.47432e-01   2.33654e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=8.78757e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.86674e+02   5.58720e-01   2.15921e-03  -1.99988e-01
-   2  sg_p1        4.00594e+01   4.59169e-01   4.05661e-03   3.84165e-02
-   3  sg_p2        2.51479e+00   3.25925e-01   2.03755e-02   4.90232e-02
-   4  sg_p3        1.92655e+00   1.49829e-01   4.93143e-03   8.21834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.122e-01 -3.425e-02  1.692e-03 -2.360e-02 
- -3.425e-02  2.109e-01  3.630e-03  2.988e-02 
-  1.692e-03  3.630e-03  1.068e-01  4.290e-04 
- -2.360e-02  2.988e-02  4.290e-04  2.247e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28235   1.000 -0.133  0.009 -0.282
-        2  0.43476  -0.133  1.000  0.024  0.434
-        3  0.02730   0.009  0.024  1.000  0.009
-        4  0.48938  -0.282  0.434  0.009  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM HESSE     STATUS=OK             33 CALLS         196 TOTAL
-                     EDM=6.62467e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.86674e+02   5.59678e-01   4.31843e-04  -1.11107e-01
-   2  sg_p1        4.00594e+01   4.61116e-01   1.62264e-04   2.06214e-01
-   3  sg_p2        2.51479e+00   2.22927e-01   4.53587e-01   5.91504e-03
-   4  sg_p3        1.92655e+00   1.50658e-01   1.97257e-04  -4.66270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.133e-01 -3.601e-02  1.955e-04 -2.426e-02 
- -3.601e-02  2.127e-01  4.139e-04  3.075e-02 
-  1.955e-04  4.139e-04  4.983e-02  4.614e-05 
- -2.426e-02  3.075e-02  4.614e-05  2.272e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28788   1.000 -0.140  0.002 -0.288
-        2  0.44255  -0.140  1.000  0.004  0.442
-        3  0.00456   0.002  0.004  1.000  0.001
-        4  0.49768  -0.288  0.442  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-786.674 +- 0.559678
-40.0594 +- 0.461116
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29080.5 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.86811e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.59388e+01
-   3  sg_p2        1.11453e+00   5.00000e-01   0.00000e+00   1.02248e+02
-   4  sg_p3        1.01032e+00   7.00000e-01  -7.91400e-01  -4.01707e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=2.80961e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14374e+02   3.98724e-01   1.45304e-03  -1.70387e-01
-   2  sg_p1        2.58336e+01   3.59782e-01   4.89449e-03   8.13003e-02
-   3  sg_p2        1.67359e+00   7.19571e-02   3.19487e-03   5.88230e-02
-   4  sg_p3        1.19124e+00   3.46142e-02   1.23219e-03  -4.28854e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.590e-01 -2.453e-02  3.541e-03 -4.624e-03 
- -2.453e-02  1.296e-01  1.051e-02  6.871e-03 
-  3.541e-03  1.051e-02  5.179e-03  5.110e-04 
- -4.624e-03  6.871e-03  5.110e-04  1.198e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39250   1.000 -0.171  0.123 -0.335
-        2  0.62921  -0.171  1.000  0.406  0.551
-        3  0.45197   0.123  0.406  1.000  0.205
-        4  0.60406  -0.335  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM HESSE     STATUS=OK             23 CALLS         232 TOTAL
-                     EDM=2.80811e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14374e+02   3.98978e-01   2.90608e-04   1.46314e-01
-   2  sg_p1        2.58336e+01   3.61130e-01   1.95780e-04   4.60594e-01
-   3  sg_p2        1.67359e+00   7.21418e-02   1.27795e-04  -3.36900e-01
-   4  sg_p3        1.19124e+00   3.46971e-02   2.46437e-04  -7.20348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.592e-01 -2.477e-02  3.557e-03 -4.644e-03 
- -2.477e-02  1.305e-01  1.069e-02  6.950e-03 
-  3.557e-03  1.069e-02  5.206e-03  5.225e-04 
- -4.644e-03  6.950e-03  5.225e-04  1.204e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39387   1.000 -0.172  0.124 -0.335
-        2  0.63278  -0.172  1.000  0.410  0.554
-        3  0.45643   0.124  0.410  1.000  0.209
-        4  0.60656  -0.335  0.554  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.374 +- 0.398978
-25.8336 +- 0.36113
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29394.8 FROM MIGRAD    STATUS=INITIATE       76 CALLS          77 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.09344e+02   6.00000e+00   0.00000e+00  -9.04905e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.79169e+02
-   3  sg_p2        1.02066e+00   5.00000e-01   0.00000e+00   2.33092e+02
-   4  sg_p3        1.24736e+00   7.00000e-01  -6.99207e-01   3.18929e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM MIGRAD    STATUS=CONVERGED     227 CALLS         228 TOTAL
-                     EDM=6.02107e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.15934e+02   4.09344e-01   1.49430e-03  -1.08719e-01
-   2  sg_p1        2.62317e+01   4.03039e-01   5.19030e-03   1.33417e-01
-   3  sg_p2        1.65790e+00   9.28346e-02   3.66697e-03   4.58391e-02
-   4  sg_p3        1.21792e+00   3.62585e-02   1.27250e-03  -4.88031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.676e-01 -5.450e-03  9.103e-03 -3.808e-03 
- -5.450e-03  1.626e-01  2.111e-02  8.287e-03 
-  9.103e-03  2.111e-02  8.623e-03  9.650e-04 
- -3.808e-03  8.287e-03  9.650e-04  1.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41684   1.000 -0.033  0.239 -0.257
-        2  0.70520  -0.033  1.000  0.564  0.567
-        3  0.62110   0.239  0.564  1.000  0.287
-        4  0.61571  -0.257  0.567  0.287  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM HESSE     STATUS=OK             23 CALLS         251 TOTAL
-                     EDM=6.06559e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.15934e+02   4.09665e-01   2.98861e-04   1.99109e-01
-   2  sg_p1        2.62317e+01   4.05359e-01   1.03806e-03   5.20781e-01
-   3  sg_p2        1.65790e+00   9.33088e-02   1.46679e-04  -3.43559e-01
-   4  sg_p3        1.21792e+00   3.63707e-02   2.54500e-04  -7.10248e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.678e-01 -5.327e-03  9.198e-03 -3.807e-03 
- -5.327e-03  1.645e-01  2.154e-02  8.414e-03 
-  9.198e-03  2.154e-02  8.711e-03  9.903e-04 
- -3.807e-03  8.414e-03  9.903e-04  1.323e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41838   1.000 -0.032  0.241 -0.256
-        2  0.70926  -0.032  1.000  0.569  0.570
-        3  0.62607   0.241  0.569  1.000  0.292
-        4  0.61881  -0.256  0.570  0.292  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-815.934 +- 0.409665
-26.2317 +- 0.405359
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28612.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -3.00114e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.67115e+02
-   3  sg_p2        1.20214e+00   5.00000e-01   0.00000e+00   4.55233e+01
-   4  sg_p3        1.18762e+00   7.00000e-01  -7.21725e-01   3.91659e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.9336e-01  9.8220e-01  1.9260e+00  1.9851e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.895346 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         216 TOTAL
-                     EDM=0.158425    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12468e+02   1.41859e+00   1.44554e-03   6.97099e+00
-   2  sg_p1        2.52532e+01   1.08302e+00   4.75756e-03  -1.78654e+00
-   3  sg_p2        1.59901e+00   3.19025e-01   4.11832e-03  -4.02743e+00
-   4  sg_p3        1.18510e+00   2.53698e-02   1.13700e-04   9.82264e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00001 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=28570.4 FROM MIGRAD    STATUS=FAILED        279 CALLS         280 TOTAL
-                     EDM=10.5145    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12542e+02   1.94194e+01  -0.00000e+00   1.21944e+01
-   2  sg_p1        2.53088e+01   4.51787e+00  -0.00000e+00   3.98569e-01
-   3  sg_p2        1.61558e+00   1.51911e+00   0.00000e+00  -5.79777e+00
-   4  sg_p3        1.18237e+00   1.70381e+00  -0.00000e+00   1.97176e+02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.468e+02  5.233e-03  1.508e-03  6.862e-04 
-  5.233e-03  2.418e+01 -1.914e-04  5.328e-04 
-  1.508e-03 -1.914e-04  2.734e+00  1.653e-04 
-  6.862e-04  5.328e-04  1.653e-04  3.439e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00007   1.000  0.000  0.000  0.000
-        2  0.00008   0.000  1.000 -0.000  0.000
-        3  0.00007   0.000 -0.000  1.000  0.000
-        4  0.00008   0.000  0.000  0.000  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2546e+02 -1.0036e+01  1.2036e+01  1.2746e+02
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 125.585418 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         305 TOTAL
-                     EDM=0.206098    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.12542e+02   3.32392e-02   4.24522e-04   8.48346e-02
-   2  sg_p1        2.53088e+01   5.64200e-01   1.39644e-03   3.83861e-01
-   3  sg_p2        1.61558e+00   1.70424e-01   1.23980e-03  -3.61595e-01
-   4  sg_p3        1.18237e+00   2.19991e-04   3.58849e-04  -7.23724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.105e-03 -1.843e-03  5.571e-04  6.264e-07 
- -1.843e-03  3.190e-01 -9.625e-02  1.380e-06 
-  5.571e-04 -9.625e-02  2.910e-02 -4.175e-07 
-  6.264e-07  1.380e-06 -4.175e-07  4.840e-08 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.13108   1.000 -0.098  0.098  0.086
-        2  0.99899  -0.098  1.000 -0.999  0.011
-        3  0.99899   0.098 -0.999  1.000 -0.011
-        4  0.08788   0.086  0.011 -0.011  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-812.542 +- 0.0332392
-25.3088 +- 0.5642
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28766.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -7.66248e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -9.03266e+01
-   3  sg_p2        1.08494e+00   5.00000e-01   0.00000e+00   1.09698e+02
-   4  sg_p3        1.05971e+00   7.00000e-01  -7.71521e-01  -1.09172e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=5.14966e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14565e+02   4.05653e-01   1.46940e-03   3.96359e-01
-   2  sg_p1        2.60283e+01   3.68198e-01   5.02230e-03   5.50486e-02
-   3  sg_p2        1.66109e+00   7.22853e-02   3.19557e-03   8.70441e-02
-   4  sg_p3        1.18488e+00   3.46494e-02   1.22798e-03  -1.02684e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.646e-01 -2.497e-02  3.759e-03 -4.697e-03 
- -2.497e-02  1.357e-01  1.103e-02  7.081e-03 
-  3.759e-03  1.103e-02  5.227e-03  5.271e-04 
- -4.697e-03  7.081e-03  5.271e-04  1.201e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39503   1.000 -0.167  0.128 -0.334
-        2  0.63439  -0.167  1.000  0.414  0.555
-        3  0.46146   0.128  0.414  1.000  0.210
-        4  0.60729  -0.334  0.555  0.210  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=5.16859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14565e+02   4.05931e-01   2.93880e-04   1.52758e-01
-   2  sg_p1        2.60283e+01   3.69660e-01   2.00892e-04   4.89788e-01
-   3  sg_p2        1.66109e+00   7.24828e-02   1.27823e-04  -3.42202e-01
-   4  sg_p3        1.18488e+00   3.47387e-02   4.91192e-05  -7.22769e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.648e-01 -2.523e-02  3.775e-03 -4.720e-03 
- -2.523e-02  1.368e-01  1.122e-02  7.167e-03 
-  3.775e-03  1.122e-02  5.255e-03  5.394e-04 
- -4.720e-03  7.167e-03  5.394e-04  1.207e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39649   1.000 -0.168  0.128 -0.335
-        2  0.63810  -0.168  1.000  0.419  0.558
-        3  0.46606   0.128  0.419  1.000  0.214
-        4  0.60995  -0.335  0.558  0.214  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.565 +- 0.405931
-26.0283 +- 0.36966
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29348.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -6.36592e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.83918e+02
-   3  sg_p2        1.15597e+00   5.00000e-01   0.00000e+00   8.24903e+01
-   4  sg_p3        1.21818e+00   7.00000e-01  -7.10151e-01   3.68287e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.20841e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14234e+02   3.90817e-01   1.43143e-03  -2.25892e-01
-   2  sg_p1        2.55644e+01   3.48997e-01   4.72433e-03   4.76414e-02
-   3  sg_p2        1.70026e+00   7.24860e-02   3.26136e-03  -2.01102e-02
-   4  sg_p3        1.19325e+00   3.43060e-02   1.23128e-03  -1.60765e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.527e-01 -2.472e-02  3.207e-03 -4.545e-03 
- -2.472e-02  1.219e-01  9.868e-03  6.557e-03 
-  3.207e-03  9.868e-03  5.256e-03  4.874e-04 
- -4.545e-03  6.557e-03  4.874e-04  1.177e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39017   1.000 -0.181  0.113 -0.339
-        2  0.62081  -0.181  1.000  0.390  0.547
-        3  0.43378   0.113  0.390  1.000  0.196
-        4  0.60004  -0.339  0.547  0.196  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=1.20945e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14234e+02   3.91082e-01   2.86287e-04   1.41589e-01
-   2  sg_p1        2.55644e+01   3.50246e-01   1.88973e-04   4.20910e-01
-   3  sg_p2        1.70026e+00   7.26609e-02   1.30454e-04  -3.25619e-01
-   4  sg_p3        1.19325e+00   3.43857e-02   4.92513e-05  -7.19583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.530e-01 -2.496e-02  3.222e-03 -4.567e-03 
- -2.496e-02  1.228e-01  1.004e-02  6.630e-03 
-  3.222e-03  1.004e-02  5.281e-03  4.983e-04 
- -4.567e-03  6.630e-03  4.983e-04  1.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39164   1.000 -0.182  0.113 -0.340
-        2  0.62433  -0.182  1.000  0.394  0.550
-        3  0.43823   0.113  0.394  1.000  0.199
-        4  0.60250  -0.340  0.550  0.199  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.234 +- 0.391082
-25.5644 +- 0.350246
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26933.9 FROM MIGRAD    STATUS=INITIATE       65 CALLS          66 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.02085e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -6.48182e+01
-   3  sg_p2        1.12090e+00   5.00000e-01   0.00000e+00   8.31490e+01
-   4  sg_p3        1.00741e+00   7.00000e-01  -7.92584e-01  -3.93256e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM MIGRAD    STATUS=CONVERGED     255 CALLS         256 TOTAL
-                     EDM=5.05705e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14343e+02   4.13939e-01   1.45196e-03  -9.37591e-03
-   2  sg_p1        2.58276e+01   3.73340e-01   4.89042e-03   1.50340e-02
-   3  sg_p2        1.67484e+00   7.48885e-02   3.20560e-03  -1.09220e-03
-   4  sg_p3        1.19229e+00   3.59871e-02   1.23468e-03  -4.69920e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.714e-01 -2.629e-02  3.837e-03 -4.978e-03 
- -2.629e-02  1.395e-01  1.135e-02  7.403e-03 
-  3.837e-03  1.135e-02  5.610e-03  5.519e-04 
- -4.978e-03  7.403e-03  5.519e-04  1.295e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39181   1.000 -0.170  0.124 -0.334
-        2  0.62863  -0.170  1.000  0.406  0.551
-        3  0.45181   0.124  0.406  1.000  0.205
-        4  0.60326  -0.334  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM HESSE     STATUS=OK             23 CALLS         279 TOTAL
-                     EDM=5.06656e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14343e+02   4.14229e-01   5.80783e-05   1.45269e-01
-   2  sg_p1        2.58276e+01   3.74765e-01   1.95617e-04   4.59703e-01
-   3  sg_p2        1.67484e+00   7.50817e-02   1.28224e-04  -3.36369e-01
-   4  sg_p3        1.19229e+00   3.60762e-02   4.93874e-05  -7.19948e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.716e-01 -2.658e-02  3.854e-03 -5.003e-03 
- -2.658e-02  1.406e-01  1.154e-02  7.491e-03 
-  3.854e-03  1.154e-02  5.639e-03  5.644e-04 
- -5.003e-03  7.491e-03  5.644e-04  1.302e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39332   1.000 -0.171  0.124 -0.335
-        2  0.63227  -0.171  1.000  0.410  0.554
-        3  0.45629   0.124  0.410  1.000  0.208
-        4  0.60585  -0.335  0.554  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.343 +- 0.414229
-25.8276 +- 0.374765
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31351.8 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -9.46989e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.83441e+01
-   3  sg_p2        1.10816e+00   5.00000e-01   0.00000e+00   1.09432e+02
-   4  sg_p3        1.01312e+00   7.00000e-01  -7.90261e-01  -4.08568e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM MIGRAD    STATUS=CONVERGED     190 CALLS         191 TOTAL
-                     EDM=0.000282451    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14404e+02   3.84308e-01   1.45349e-03  -2.57491e-01
-   2  sg_p1        2.58356e+01   3.46779e-01   4.90055e-03  -2.87296e-01
-   3  sg_p2        1.67287e+00   6.92592e-02   3.19853e-03   5.88350e-01
-   4  sg_p3        1.19029e+00   3.33252e-02   1.23266e-03   1.10421e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.477e-01 -2.290e-02  3.276e-03 -4.302e-03 
- -2.290e-02  1.204e-01  9.759e-03  6.385e-03 
-  3.276e-03  9.759e-03  4.798e-03  4.745e-04 
- -4.302e-03  6.385e-03  4.745e-04  1.111e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39330   1.000 -0.172  0.123 -0.336
-        2  0.62986  -0.172  1.000  0.406  0.552
-        3  0.45226   0.123  0.406  1.000  0.206
-        4  0.60490  -0.336  0.552  0.206  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM HESSE     STATUS=OK             23 CALLS         214 TOTAL
-                     EDM=0.000282194    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14404e+02   3.84550e-01   2.90698e-04   1.47348e-01
-   2  sg_p1        2.58356e+01   3.47902e-01   9.80110e-04   4.60888e-01
-   3  sg_p2        1.67287e+00   6.94090e-02   6.39706e-04  -3.37208e-01
-   4  sg_p3        1.19029e+00   3.33968e-02   4.93065e-05  -7.20709e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.479e-01 -2.313e-02  3.287e-03 -4.322e-03 
- -2.313e-02  1.211e-01  9.898e-03  6.450e-03 
-  3.287e-03  9.898e-03  4.819e-03  4.836e-04 
- -4.322e-03  6.450e-03  4.836e-04  1.115e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39464   1.000 -0.173  0.123 -0.336
-        2  0.63294  -0.173  1.000  0.410  0.555
-        3  0.45602   0.123  0.410  1.000  0.209
-        4  0.60714  -0.336  0.555  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.404 +- 0.38455
-25.8356 +- 0.347902
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 814.374 +- 0.398978 (stat) - 1.83178 + 1.56012 (syst); -1.84261/+1.57282 (total)
-   Uncertainty on sg_p1 = 25.8336 +- 0.36113 (stat) - 0.524827 + 0.398085 (syst); -0.55502/+0.437122 (total)
-   Uncertainty on sg_p2 = 1.67359 +- 0.0721418 (stat) - 0.0580086 + 0.0266696 (syst); -0.0683089/+0.0448595 (total)
-   Uncertainty on sg_p3 = 1.19124 +- 0.0346971 (stat) - 0.00886586 + 0.0266863 (syst); -0.0194827/+0.0318297 (total)
-   === Baseline plot === </br>
-   norm = 217.194
-JEC     lnN   1.00978  -
-JER     lnN   1.01239  -
-btag    lnN   1.07603  -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt
deleted file mode 100644
index 1da177d..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.64156 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.0799    -
-JER       lnN     1.01164   - 
-JEC       lnN     1.00857   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02549102587   -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/pdf.log
deleted file mode 100644
index d309f86..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.6412 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.32214e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.20921e+01   1.56255e+00   2.43180e-03   2.41961e-04
-   2  Mean         9.98237e-01   3.72269e-03   6.33611e-06  -4.15570e-02
-   3  Sigma        2.54910e-02   2.98572e-03   6.27464e-05  -4.89863e-03
-0.998236892348 +/- 0.00372268649896
-0.0254910258695 +/- 0.00298571979086
-PDF lnN 1.02549102587
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/signal900_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/signal900_sig.log
deleted file mode 100644
index d4cc812..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_crystal_1_550_1200/signal900_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33664.2 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.87024e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   1.70564e+01
-   3  sg_p2        8.67563e-01   5.00000e-01   0.00000e+00   3.77923e+02
-   4  sg_p3        1.75058e+00   7.00000e-01  -5.23409e-01  -9.51811e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.14138 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             27 CALLS         373 TOTAL
-                     EDM=0.00332624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18636e-01   1.26596e-03   7.76547e-02
-   2  sg_p1        4.38895e+01   5.43360e-01   3.99187e-03   5.04266e-02
-   3  sg_p2        2.61266e+00   9.39365e-01   6.28602e-02  -2.11368e-01
-   4  sg_p3        1.68218e+00   9.36801e-02   3.16921e-03   5.53803e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33371.1 FROM MIGRAD    STATUS=CONVERGED     386 CALLS         387 TOTAL
-                     EDM=8.86352e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18635e-01   1.67624e-06  -3.95438e-03
-   2  sg_p1        4.38881e+01   5.43356e-01  -9.98687e-05  -6.98133e-04
-   3  sg_p2        2.69108e+00   9.37644e-01   3.14301e-02  -2.30056e-05
-   4  sg_p3        1.68195e+00   9.36715e-02  -7.67431e-05  -4.02566e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.827e-01 -6.502e-02 -5.811e-05 -2.090e-02 
- -6.502e-02  2.954e-01  5.476e-04  2.735e-02 
- -5.811e-05  5.476e-04  9.241e-01  1.376e-04 
- -2.090e-02  2.735e-02  1.376e-04  8.777e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36054   1.000 -0.193 -0.000 -0.361
-        2  0.53708  -0.193  1.000  0.001  0.537
-        3  0.00163  -0.000  0.001  1.000  0.002
-        4  0.59741  -0.361  0.537  0.002  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             29 CALLS         416 TOTAL
-                     EDM=5.60701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.87145e+02   6.19206e-01   1.26598e-03   2.89787e-01
-   2  sg_p1        4.38881e+01   5.44560e-01   1.59675e-03   2.62200e-01
-   3  sg_p2        2.69108e+00   3.66223e+00   4.86437e-02   7.65081e-02
-   4  sg_p3        1.68195e+00   9.38964e-02   1.26768e-03  -5.46198e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.834e-01 -6.608e-02  9.504e-07 -2.110e-02 
- -6.608e-02  2.967e-01  4.698e-06  2.763e-02 
-  9.504e-07  4.698e-06  6.569e+03  3.565e-07 
- -2.110e-02  2.763e-02  3.565e-07  8.819e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36280   1.000 -0.196  0.000 -0.363
-        2  0.54009  -0.196  1.000  0.000  0.540
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.60032  -0.363  0.540  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-887.145 +- 0.619206
-43.8881 +- 0.54456
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33829.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.37162e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   7.33519e+01
-   3  sg_p2        5.87771e-01   5.00000e-01  -8.70873e-01   9.57906e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.46120e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00007 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             25 CALLS         331 TOTAL
-                     EDM=0.315109    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91582e+02   6.17824e-01   1.32224e-03  -7.77130e-01
-   2  sg_p1        4.40907e+01   5.43395e-01   4.14838e-03   2.19978e+00
-   3  sg_p2        2.59937e+00   4.57998e-01   2.91245e-01  -4.28319e+00
-   4  sg_p3        1.56794e+00   6.89875e-02   2.49674e-03  -3.53414e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33473.2 FROM MIGRAD    STATUS=CONVERGED     344 CALLS         345 TOTAL
-                     EDM=1.81644e-07    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91593e+02   6.17785e-01   1.97446e-04  -3.22562e-02
-   2  sg_p1        4.40472e+01   5.43856e-01  -3.01296e-03  -7.86524e-03
-   3  sg_p2        2.96080e+00   4.50508e-01   1.45623e-01   0.00000e+00
-   4  sg_p3        1.56553e+00   6.89514e-02  -8.25067e-04   1.93280e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.817e-01 -4.853e-02  1.606e-04 -1.348e-02 
- -4.853e-02  2.959e-01  6.495e-06  1.836e-02 
-  1.606e-04  6.495e-06  2.053e-01 -1.663e-05 
- -1.348e-02  1.836e-02 -1.663e-05  4.755e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31670   1.000 -0.144  0.001 -0.316
-        2  0.48950  -0.144  1.000  0.000  0.489
-        3  0.00076   0.001  0.000  1.000 -0.001
-        4  0.54881  -0.316  0.489 -0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             31 CALLS         376 TOTAL
-                     EDM=1.33661    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.91593e+02   6.18180e-01   1.32251e-03   3.68142e-01
-   2  sg_p1        4.40472e+01   5.43127e-01   4.14931e-03   2.73201e-01
-   3  sg_p2        2.96080e+00   5.37583e-01   5.10000e-01   1.85380e-01
-   4  sg_p3        1.56553e+00   6.89873e-02   9.98698e-04  -5.85607e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.822e-01 -4.972e-02 -6.585e-12 -1.366e-02 
- -4.972e-02  2.951e-01  2.406e-12  1.846e-02 
- -6.585e-12  2.406e-12  2.937e-01  2.262e-12 
- -1.366e-02  1.846e-02  2.262e-12  4.760e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32056   1.000 -0.148 -0.000 -0.320
-        2  0.49249  -0.148  1.000  0.000  0.492
-        3  0.00000  -0.000  0.000  1.000  0.000
-        4  0.55232  -0.320  0.492  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-891.593 +- 0.61818
-44.0472 +- 0.543127
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33025.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.21902e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   3.56266e+01
-   3  sg_p2        8.48797e-01   5.00000e-01   0.00000e+00   8.71721e+00
-   4  sg_p3        1.96916e+00   7.00000e-01  -4.52685e-01   1.33827e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             31 CALLS         284 TOTAL
-                     EDM=0.000111741    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83274e+02   5.75489e-01   1.22716e-03   3.79802e-02
-   2  sg_p1        4.40176e+01   4.49467e-01   3.85966e-03  -7.57641e-02
-   3  sg_p2        2.44289e+00   2.23488e-01   1.00126e-02   8.24918e-02
-   4  sg_p3        1.81465e+00   3.14767e-02   3.33332e-03   1.27746e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=32836 FROM MIGRAD    STATUS=FAILED        321 CALLS         322 TOTAL
-                     EDM=0.034586    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  18.3 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83276e+02   5.73266e-01  -0.00000e+00   5.01334e-02
-   2  sg_p1        4.40177e+01   4.48511e-01   0.00000e+00   1.03605e-01
-   3  sg_p2        2.44263e+00   1.46331e-01  -0.00000e+00  -1.44978e-01
-   4  sg_p3        1.81329e+00   9.50131e-03   0.00000e+00  -1.27604e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.286e-01  1.600e-03 -3.893e-03 -4.127e-05 
-  1.600e-03  2.012e-01  2.014e-03  3.934e-04 
- -3.893e-03  2.014e-03  2.144e-02 -5.698e-04 
- -4.127e-05  3.934e-04 -5.698e-04  9.028e-05 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05588   1.000  0.006 -0.046 -0.008
-        2  0.11947   0.006  1.000  0.031  0.092
-        3  0.41831  -0.046  0.031  1.000 -0.410
-        4  0.42369  -0.008  0.092 -0.410  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             29 CALLS         351 TOTAL
-                     EDM=0.000104468    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.83276e+02   5.75584e-01   1.22738e-03   2.23108e-01
-   2  sg_p1        4.40177e+01   4.49699e-01   3.86131e-03   2.71159e-01
-   3  sg_p2        2.44263e+00   2.24450e-01   1.04348e-02  -2.29498e-02
-   4  sg_p3        1.81329e+00   3.18671e-02   3.32746e-03  -5.02843e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.313e-01 -1.034e-03 -3.993e-04 -1.393e-03 
- -1.034e-03  2.023e-01 -9.138e-05  1.874e-03 
- -3.993e-04 -9.138e-05  5.051e-02  1.806e-06 
- -1.393e-03  1.874e-03  1.806e-06  1.016e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.07626   1.000 -0.004 -0.003 -0.076
-        2  0.13085  -0.004  1.000 -0.001  0.131
-        3  0.00322  -0.003 -0.001  1.000  0.000
-        4  0.15092  -0.076  0.131  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-883.276 +- 0.575584
-44.0177 +- 0.449699
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31847.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.15004e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.07919e+02
-   3  sg_p2        1.34843e+00   5.00000e-01   0.00000e+00   1.01663e+02
-   4  sg_p3        1.18098e+00   7.00000e-01  -7.24255e-01  -8.67138e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.8133e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14708e+02   6.08444e-01   1.29613e-03   1.05815e-01
-   2  sg_p1        3.02451e+01   5.68219e-01   5.56289e-03   1.74811e-02
-   3  sg_p2        2.07933e+00   1.35380e-01   6.08573e-03   1.51761e-02
-   4  sg_p3        1.21527e+00   6.15917e-02   1.48479e-03   1.57009e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.702e-01 -2.155e-01 -1.002e-02 -2.676e-02 
- -2.155e-01  3.236e-01  3.008e-02  2.846e-02 
- -1.002e-02  3.008e-02  1.835e-02  2.403e-03 
- -2.676e-02  2.846e-02  2.403e-03  3.794e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.72659   1.000 -0.623 -0.122 -0.714
-        2  0.83258  -0.623  1.000  0.390  0.812
-        3  0.42083  -0.122  0.390  1.000  0.288
-        4  0.85489  -0.714  0.812  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=2.07761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14708e+02   6.37633e-01   5.18452e-05   1.17968e-01
-   2  sg_p1        3.02451e+01   6.04034e-01   2.22516e-04   3.74720e-01
-   3  sg_p2        2.07933e+00   1.39479e-01   2.43429e-04  -1.69071e-01
-   4  sg_p3        1.21527e+00   6.62844e-02   5.93916e-05  -7.11249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.066e-01 -2.540e-01 -1.389e-02 -3.139e-02 
- -2.540e-01  3.658e-01  3.536e-02  3.345e-02 
- -1.389e-02  3.536e-02  1.948e-02  2.966e-03 
- -3.139e-02  3.345e-02  2.966e-03  4.395e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75434   1.000 -0.659 -0.156 -0.743
-        2  0.85324  -0.659  1.000  0.419  0.834
-        3  0.44886  -0.156  0.419  1.000  0.321
-        4  0.87300  -0.743  0.834  0.321  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.708 +- 0.637633
-30.2451 +- 0.604034
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=32076.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.42825e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.66341e+02
-   3  sg_p2        1.24756e+00   5.00000e-01   0.00000e+00   1.32032e+02
-   4  sg_p3        1.51475e+00   7.00000e-01  -6.03120e-01   6.41643e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.2508e+00  8.3406e-01  1.1303e+00  4.2864e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 2.255047 TO DIAGONAL.
- FCN=31897 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         293 TOTAL
-                     EDM=0.00241152    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   6.95098e-01   1.30051e-03   1.46076e-01
-   2  sg_p1        3.03755e+01   3.97597e-01   5.52810e-03   7.58612e-03
-   3  sg_p2        2.27801e+00   1.55888e+00   7.81545e-03   6.54139e-02
-   4  sg_p3        1.17081e+00   2.99817e-01   1.31225e-03   1.00535e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM MIGRAD    STATUS=CONVERGED     328 CALLS         329 TOTAL
-                     EDM=0.000214971    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   4.88559e-01   1.30052e-03   3.06873e-02
-   2  sg_p1        3.03754e+01   4.10963e-01   2.21124e-03   2.67746e-02
-   3  sg_p2        2.27858e+00   1.68057e-01   3.12618e-03   1.19850e-01
-   4  sg_p3        1.17071e+00   3.83284e-02   1.31215e-03   6.94100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.387e-01 -8.067e-02  2.183e-04 -9.547e-03 
- -8.067e-02  1.691e-01  1.601e-02  9.908e-03 
-  2.183e-04  1.601e-02  2.829e-02  8.281e-04 
- -9.547e-03  9.908e-03  8.281e-04  1.469e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52820   1.000 -0.402  0.003 -0.510
-        2  0.65548  -0.402  1.000  0.231  0.629
-        3  0.25444   0.003  0.231  1.000  0.128
-        4  0.68871  -0.510  0.629  0.128  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM HESSE     STATUS=OK             23 CALLS         352 TOTAL
-                     EDM=0.000216668    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.17231e+02   4.89066e-01   5.20206e-05   1.81768e-01
-   2  sg_p1        3.03754e+01   4.11848e-01   4.42248e-04   3.93462e-01
-   3  sg_p2        2.27858e+00   1.68511e-01   6.25236e-04  -8.86838e-02
-   4  sg_p3        1.17071e+00   3.83872e-02   2.62429e-04  -7.28178e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.392e-01 -8.128e-02  1.943e-04 -9.592e-03 
- -8.128e-02  1.698e-01  1.629e-02  9.968e-03 
-  1.943e-04  1.629e-02  2.844e-02  8.443e-04 
- -9.592e-03  9.968e-03  8.443e-04  1.474e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52961   1.000 -0.403  0.002 -0.511
-        2  0.65734  -0.403  1.000  0.234  0.630
-        3  0.25774   0.002  0.234  1.000  0.130
-        4  0.68988  -0.511  0.630  0.130  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-917.231 +- 0.489066
-30.3754 +- 0.411848
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31270.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.11670e+02   8.00000e+00   4.17695e-02   1.48625e+01
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.41145e+02
-   3  sg_p2        1.45615e+00   5.00000e-01   0.00000e+00  -1.80733e+01
-   4  sg_p3        1.27355e+00   7.00000e-01   0.00000e+00   5.00168e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=1.00647e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.12666e+02   5.93671e-01   1.27735e-03   2.63765e-02
-   2  sg_p1        2.96697e+01   6.13867e-01   5.39370e-03   1.70034e-02
-   3  sg_p2        1.86746e+00   1.16178e-01   4.79471e-03   1.24233e-02
-   4  sg_p3        1.20141e+00   6.21896e-02   1.45289e-03   7.47047e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.525e-01 -2.113e-01 -9.800e-03 -2.540e-02 
- -2.113e-01  3.778e-01  3.879e-02  3.144e-02 
- -9.800e-03  3.879e-02  1.351e-02  2.946e-03 
- -2.540e-02  3.144e-02  2.946e-03  3.868e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71041   1.000 -0.579 -0.142 -0.688
-        2  0.85591  -0.579  1.000  0.543  0.822
-        3  0.58356  -0.142  0.543  1.000  0.408
-        4  0.86266  -0.688  0.822  0.408  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=1.03715e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.12666e+02   5.96901e-01   2.55470e-04   6.66929e-02
-   2  sg_p1        2.96697e+01   6.22112e-01   2.15748e-04   2.93491e-01
-   3  sg_p2        1.86746e+00   1.17183e-01   1.91788e-04  -2.55796e-01
-   4  sg_p3        1.20141e+00   6.28752e-02   5.81156e-05  -7.16489e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.563e-01 -2.172e-01 -1.053e-02 -2.596e-02 
- -2.172e-01  3.880e-01  4.037e-02  3.237e-02 
- -1.053e-02  4.037e-02  1.374e-02  3.084e-03 
- -2.596e-02  3.237e-02  3.084e-03  3.954e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71417   1.000 -0.584 -0.151 -0.692
-        2  0.86002  -0.584  1.000  0.553  0.827
-        3  0.59309  -0.151  0.553  1.000  0.418
-        4  0.86587  -0.692  0.827  0.418  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-912.666 +- 0.596901
-29.6697 +- 0.622112
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31402.8 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -6.41887e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.32609e+02
-   3  sg_p2        1.21873e+00   5.00000e-01   0.00000e+00   2.82004e+01
-   4  sg_p3        1.29003e+00   7.00000e-01  -6.83382e-01   3.00498e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM MIGRAD    STATUS=CONVERGED     202 CALLS         203 TOTAL
-                     EDM=9.20948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14895e+02   5.51583e-01   1.31460e-03   1.61689e-01
-   2  sg_p1        3.03350e+01   7.44882e-01   5.76073e-03  -3.27245e-02
-   3  sg_p2        1.86472e+00   2.01246e-01   6.02311e-03  -3.75996e-03
-   4  sg_p3        1.20817e+00   6.26611e-02   1.44547e-03   2.50672e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.043e-01 -1.559e-01 -6.728e-03 -1.871e-02 
- -1.559e-01  5.570e-01  1.146e-01  3.885e-02 
- -6.728e-03  1.146e-01  4.059e-02  7.410e-03 
- -1.871e-02  3.885e-02  7.410e-03  3.927e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63293   1.000 -0.379 -0.061 -0.541
-        2  0.89852  -0.379  1.000  0.762  0.831
-        3  0.80154  -0.061  0.762  1.000  0.587
-        4  0.86629  -0.541  0.831  0.587  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM HESSE     STATUS=OK             23 CALLS         226 TOTAL
-                     EDM=9.24142e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14895e+02   5.53867e-01   2.62920e-04   1.22682e-01
-   2  sg_p1        3.03350e+01   7.70523e-01   2.30429e-04   3.87633e-01
-   3  sg_p2        1.86472e+00   2.07594e-01   2.40925e-04  -2.56930e-01
-   4  sg_p3        1.20817e+00   6.42645e-02   5.78186e-05  -7.13930e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.068e-01 -1.637e-01 -8.469e-03 -1.930e-02 
- -1.637e-01  5.962e-01  1.248e-01  4.167e-02 
- -8.469e-03  1.248e-01  4.320e-02  8.128e-03 
- -1.930e-02  4.167e-02  8.128e-03  4.131e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63682   1.000 -0.383 -0.074 -0.542
-        2  0.90554  -0.383  1.000  0.777  0.840
-        3  0.81484  -0.074  0.777  1.000  0.608
-        4  0.87336  -0.542  0.840  0.608  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.895 +- 0.553867
-30.335 +- 0.770523
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31997 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.37823e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -7.64703e+01
-   3  sg_p2        1.30597e+00   5.00000e-01   0.00000e+00  -1.46520e+01
-   4  sg_p3        1.20892e+00   7.00000e-01  -7.13644e-01   4.56011e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM MIGRAD    STATUS=CONVERGED     187 CALLS         188 TOTAL
-                     EDM=0.000455256    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14847e+02   4.88994e-01   1.26432e-03   4.89756e-01
-   2  sg_p1        2.93287e+01   6.86296e-01   5.26048e-03   5.85295e-02
-   3  sg_p2        1.92235e+00   2.48995e-01   6.70981e-03   1.75003e-01
-   4  sg_p3        1.17091e+00   4.94270e-02   1.31942e-03  -2.75253e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.391e-01 -5.711e-02  1.273e-02 -9.083e-03 
- -5.711e-02  4.724e-01  1.369e-01  2.673e-02 
-  1.273e-02  1.369e-01  6.222e-02  7.189e-03 
- -9.083e-03  2.673e-02  7.189e-03  2.443e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55484   1.000 -0.170  0.104 -0.376
-        2  0.89241  -0.170  1.000  0.799  0.787
-        3  0.83537   0.104  0.799  1.000  0.583
-        4  0.82462  -0.376  0.787  0.583  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM HESSE     STATUS=OK             29 CALLS         217 TOTAL
-                     EDM=0.000126642    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14847e+02   4.87177e-01   2.52865e-04   1.21475e-01
-   2  sg_p1        2.93287e+01   4.44229e-01   2.10419e-04   2.46308e-01
-   3  sg_p2        1.92235e+00   1.10134e-01   2.00630e-01  -2.33169e-01
-   4  sg_p3        1.17091e+00   4.11749e-02   5.27768e-05  -7.28101e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.374e-01 -8.558e-02  4.043e-04 -1.061e-02 
- -8.558e-02  1.976e-01  1.759e-02  1.238e-02 
-  4.043e-04  1.759e-02  1.214e-02  9.448e-04 
- -1.061e-02  1.238e-02  9.448e-04  1.696e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55015   1.000 -0.395  0.008 -0.529
-        2  0.71638  -0.395  1.000  0.359  0.676
-        3  0.39465   0.008  0.359  1.000  0.208
-        4  0.73407  -0.529  0.676  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.847 +- 0.487177
-29.3287 +- 0.444229
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29376.3 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.21334e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.14912e+02
-   3  sg_p2        1.36391e+00   5.00000e-01   0.00000e+00   1.01339e+02
-   4  sg_p3        1.20442e+00   7.00000e-01  -7.15346e-01   5.08593e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM MIGRAD    STATUS=CONVERGED     194 CALLS         195 TOTAL
-                     EDM=0.000205755    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14660e+02   4.99096e-01   1.29653e-03  -5.11216e-02
-   2  sg_p1        3.02540e+01   3.59225e-01   5.55826e-03   5.44144e-02
-   3  sg_p2        2.08275e+00   1.37518e-01   6.20642e-03   1.37624e-01
-   4  sg_p3        1.21801e+00   3.97286e-02   1.50718e-03  -6.59977e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.491e-01  5.789e-03  1.174e-02 -9.048e-03 
-  5.789e-03  1.292e-01  1.502e-02 -3.879e-03 
-  1.174e-02  1.502e-02  1.893e-02 -7.314e-04 
- -9.048e-03 -3.879e-03 -7.314e-04  1.578e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48768   1.000  0.032  0.171 -0.456
-        2  0.40688   0.032  1.000  0.304 -0.272
-        3  0.34471   0.171  0.304  1.000 -0.134
-        4  0.52420  -0.456 -0.272 -0.134  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM HESSE     STATUS=OK             23 CALLS         218 TOTAL
-                     EDM=0.000176487    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14660e+02   6.63602e-01   2.59307e-04   1.16777e-01
-   2  sg_p1        3.02540e+01   6.28299e-01   2.22330e-04   3.75996e-01
-   3  sg_p2        2.08275e+00   1.45711e-01   2.48257e-04  -1.67686e-01
-   4  sg_p3        1.21801e+00   6.93582e-02   3.01436e-04  -7.10215e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.404e-01 -2.750e-01 -1.507e-02 -3.419e-02 
- -2.750e-01  3.958e-01  3.829e-02  3.641e-02 
- -1.507e-02  3.829e-02  2.126e-02  3.230e-03 
- -3.419e-02  3.641e-02  3.230e-03  4.812e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75425   1.000 -0.659 -0.156 -0.743
-        2  0.85307  -0.659  1.000  0.417  0.834
-        3  0.44715  -0.156  0.417  1.000  0.319
-        4  0.87298  -0.743  0.834  0.319  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.66 +- 0.663602
-30.254 +- 0.628299
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=34491.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -1.23996e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.14064e+01
-   3  sg_p2        1.33344e+00   5.00000e-01   0.00000e+00   1.23543e+02
-   4  sg_p3        1.01604e+00   7.00000e-01  -7.89075e-01  -7.54461e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=1.48214e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14750e+02   5.25007e-01   1.29029e-03   2.37283e-01
-   2  sg_p1        3.02408e+01   4.81625e-01   5.53748e-03  -1.27642e-02
-   3  sg_p2        2.07745e+00   1.27929e-01   6.14558e-03   4.69647e-02
-   4  sg_p3        1.21295e+00   5.03011e-02   1.45362e-03   1.82273e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -1.325e-01 -3.877e-03 -1.666e-02 
- -1.325e-01  2.323e-01  2.235e-02  1.825e-02 
- -3.877e-03  2.235e-02  1.638e-02  1.568e-03 
- -1.666e-02  1.825e-02  1.568e-03  2.531e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64731   1.000 -0.523 -0.058 -0.631
-        2  0.77971  -0.523  1.000  0.362  0.753
-        3  0.39469  -0.058  0.362  1.000  0.244
-        4  0.80244  -0.631  0.753  0.244  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM HESSE     STATUS=OK             23 CALLS         212 TOTAL
-                     EDM=1.52019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14750e+02   5.22645e-01   2.58059e-04   1.19022e-01
-   2  sg_p1        3.02408e+01   4.78916e-01   2.21499e-04   3.74107e-01
-   3  sg_p2        2.07745e+00   1.30836e-01   2.45823e-04  -1.69835e-01
-   4  sg_p3        1.21295e+00   4.98205e-02   5.81447e-05  -7.12123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.732e-01 -1.292e-01 -3.790e-03 -1.629e-02 
- -1.292e-01  2.297e-01  2.340e-02  1.784e-02 
- -3.790e-03  2.340e-02  1.713e-02  1.620e-03 
- -1.629e-02  1.784e-02  1.620e-03  2.482e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64323   1.000 -0.516 -0.055 -0.626
-        2  0.77685  -0.516  1.000  0.373  0.747
-        3  0.40646  -0.055  0.373  1.000  0.248
-        4  0.79826  -0.626  0.747  0.248  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.75 +- 0.522645
-30.2408 +- 0.478916
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 914.708 +- 0.637633 (stat) - 2.04205 + 2.52294 (syst); -2.06678/+2.54301 (total)
-   Uncertainty on sg_p1 = 30.2451 +- 0.604034 (stat) - 0.916401 + 0.130325 (syst); -0.964886/+0.328936 (total)
-   Uncertainty on sg_p2 = 2.07933 +- 0.139479 (stat) - 0.214614 + 0.199247 (syst); -0.225661/+0.2111 (total)
-   Uncertainty on sg_p3 = 1.21527 +- 0.0662844 (stat) - 0.0445565 + 0.00274258 (syst); -0.055531/+0.0332555 (total)
-   === Baseline plot === </br>
-   norm = 232.078
-JEC     lnN   1.00857  -
-JER     lnN   1.01164  -
-btag    lnN   1.0799  -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
deleted file mode 100644
index c4b6481..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.64156 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.0799    -
-JER       lnN     1.01164   - 
-JEC       lnN     1.00857   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02549102587   -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/pdf.log
deleted file mode 100644
index d309f86..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.6412 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.32214e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.20921e+01   1.56255e+00   2.43180e-03   2.41961e-04
-   2  Mean         9.98237e-01   3.72269e-03   6.33611e-06  -4.15570e-02
-   3  Sigma        2.54910e-02   2.98572e-03   6.27464e-05  -4.89863e-03
-0.998236892348 +/- 0.00372268649896
-0.0254910258695 +/- 0.00298571979086
-PDF lnN 1.02549102587
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/signal900_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/signal900_sig.log
deleted file mode 100644
index d4cc812..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/3GeV/MMR_900_novo_550_1200/signal900_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33664.2 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.87024e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   1.70564e+01
-   3  sg_p2        8.67563e-01   5.00000e-01   0.00000e+00   3.77923e+02
-   4  sg_p3        1.75058e+00   7.00000e-01  -5.23409e-01  -9.51811e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.14138 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             27 CALLS         373 TOTAL
-                     EDM=0.00332624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18636e-01   1.26596e-03   7.76547e-02
-   2  sg_p1        4.38895e+01   5.43360e-01   3.99187e-03   5.04266e-02
-   3  sg_p2        2.61266e+00   9.39365e-01   6.28602e-02  -2.11368e-01
-   4  sg_p3        1.68218e+00   9.36801e-02   3.16921e-03   5.53803e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33371.1 FROM MIGRAD    STATUS=CONVERGED     386 CALLS         387 TOTAL
-                     EDM=8.86352e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18635e-01   1.67624e-06  -3.95438e-03
-   2  sg_p1        4.38881e+01   5.43356e-01  -9.98687e-05  -6.98133e-04
-   3  sg_p2        2.69108e+00   9.37644e-01   3.14301e-02  -2.30056e-05
-   4  sg_p3        1.68195e+00   9.36715e-02  -7.67431e-05  -4.02566e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.827e-01 -6.502e-02 -5.811e-05 -2.090e-02 
- -6.502e-02  2.954e-01  5.476e-04  2.735e-02 
- -5.811e-05  5.476e-04  9.241e-01  1.376e-04 
- -2.090e-02  2.735e-02  1.376e-04  8.777e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36054   1.000 -0.193 -0.000 -0.361
-        2  0.53708  -0.193  1.000  0.001  0.537
-        3  0.00163  -0.000  0.001  1.000  0.002
-        4  0.59741  -0.361  0.537  0.002  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             29 CALLS         416 TOTAL
-                     EDM=5.60701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.87145e+02   6.19206e-01   1.26598e-03   2.89787e-01
-   2  sg_p1        4.38881e+01   5.44560e-01   1.59675e-03   2.62200e-01
-   3  sg_p2        2.69108e+00   3.66223e+00   4.86437e-02   7.65081e-02
-   4  sg_p3        1.68195e+00   9.38964e-02   1.26768e-03  -5.46198e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.834e-01 -6.608e-02  9.504e-07 -2.110e-02 
- -6.608e-02  2.967e-01  4.698e-06  2.763e-02 
-  9.504e-07  4.698e-06  6.569e+03  3.565e-07 
- -2.110e-02  2.763e-02  3.565e-07  8.819e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36280   1.000 -0.196  0.000 -0.363
-        2  0.54009  -0.196  1.000  0.000  0.540
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.60032  -0.363  0.540  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-887.145 +- 0.619206
-43.8881 +- 0.54456
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33829.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.37162e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   7.33519e+01
-   3  sg_p2        5.87771e-01   5.00000e-01  -8.70873e-01   9.57906e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.46120e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00007 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             25 CALLS         331 TOTAL
-                     EDM=0.315109    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91582e+02   6.17824e-01   1.32224e-03  -7.77130e-01
-   2  sg_p1        4.40907e+01   5.43395e-01   4.14838e-03   2.19978e+00
-   3  sg_p2        2.59937e+00   4.57998e-01   2.91245e-01  -4.28319e+00
-   4  sg_p3        1.56794e+00   6.89875e-02   2.49674e-03  -3.53414e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33473.2 FROM MIGRAD    STATUS=CONVERGED     344 CALLS         345 TOTAL
-                     EDM=1.81644e-07    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91593e+02   6.17785e-01   1.97446e-04  -3.22562e-02
-   2  sg_p1        4.40472e+01   5.43856e-01  -3.01296e-03  -7.86524e-03
-   3  sg_p2        2.96080e+00   4.50508e-01   1.45623e-01   0.00000e+00
-   4  sg_p3        1.56553e+00   6.89514e-02  -8.25067e-04   1.93280e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.817e-01 -4.853e-02  1.606e-04 -1.348e-02 
- -4.853e-02  2.959e-01  6.495e-06  1.836e-02 
-  1.606e-04  6.495e-06  2.053e-01 -1.663e-05 
- -1.348e-02  1.836e-02 -1.663e-05  4.755e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31670   1.000 -0.144  0.001 -0.316
-        2  0.48950  -0.144  1.000  0.000  0.489
-        3  0.00076   0.001  0.000  1.000 -0.001
-        4  0.54881  -0.316  0.489 -0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             31 CALLS         376 TOTAL
-                     EDM=1.33661    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.91593e+02   6.18180e-01   1.32251e-03   3.68142e-01
-   2  sg_p1        4.40472e+01   5.43127e-01   4.14931e-03   2.73201e-01
-   3  sg_p2        2.96080e+00   5.37583e-01   5.10000e-01   1.85380e-01
-   4  sg_p3        1.56553e+00   6.89873e-02   9.98698e-04  -5.85607e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.822e-01 -4.972e-02 -6.585e-12 -1.366e-02 
- -4.972e-02  2.951e-01  2.406e-12  1.846e-02 
- -6.585e-12  2.406e-12  2.937e-01  2.262e-12 
- -1.366e-02  1.846e-02  2.262e-12  4.760e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32056   1.000 -0.148 -0.000 -0.320
-        2  0.49249  -0.148  1.000  0.000  0.492
-        3  0.00000  -0.000  0.000  1.000  0.000
-        4  0.55232  -0.320  0.492  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-891.593 +- 0.61818
-44.0472 +- 0.543127
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33025.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.21902e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   3.56266e+01
-   3  sg_p2        8.48797e-01   5.00000e-01   0.00000e+00   8.71721e+00
-   4  sg_p3        1.96916e+00   7.00000e-01  -4.52685e-01   1.33827e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             31 CALLS         284 TOTAL
-                     EDM=0.000111741    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83274e+02   5.75489e-01   1.22716e-03   3.79802e-02
-   2  sg_p1        4.40176e+01   4.49467e-01   3.85966e-03  -7.57641e-02
-   3  sg_p2        2.44289e+00   2.23488e-01   1.00126e-02   8.24918e-02
-   4  sg_p3        1.81465e+00   3.14767e-02   3.33332e-03   1.27746e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=32836 FROM MIGRAD    STATUS=FAILED        321 CALLS         322 TOTAL
-                     EDM=0.034586    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  18.3 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83276e+02   5.73266e-01  -0.00000e+00   5.01334e-02
-   2  sg_p1        4.40177e+01   4.48511e-01   0.00000e+00   1.03605e-01
-   3  sg_p2        2.44263e+00   1.46331e-01  -0.00000e+00  -1.44978e-01
-   4  sg_p3        1.81329e+00   9.50131e-03   0.00000e+00  -1.27604e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.286e-01  1.600e-03 -3.893e-03 -4.127e-05 
-  1.600e-03  2.012e-01  2.014e-03  3.934e-04 
- -3.893e-03  2.014e-03  2.144e-02 -5.698e-04 
- -4.127e-05  3.934e-04 -5.698e-04  9.028e-05 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05588   1.000  0.006 -0.046 -0.008
-        2  0.11947   0.006  1.000  0.031  0.092
-        3  0.41831  -0.046  0.031  1.000 -0.410
-        4  0.42369  -0.008  0.092 -0.410  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             29 CALLS         351 TOTAL
-                     EDM=0.000104468    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.83276e+02   5.75584e-01   1.22738e-03   2.23108e-01
-   2  sg_p1        4.40177e+01   4.49699e-01   3.86131e-03   2.71159e-01
-   3  sg_p2        2.44263e+00   2.24450e-01   1.04348e-02  -2.29498e-02
-   4  sg_p3        1.81329e+00   3.18671e-02   3.32746e-03  -5.02843e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.313e-01 -1.034e-03 -3.993e-04 -1.393e-03 
- -1.034e-03  2.023e-01 -9.138e-05  1.874e-03 
- -3.993e-04 -9.138e-05  5.051e-02  1.806e-06 
- -1.393e-03  1.874e-03  1.806e-06  1.016e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.07626   1.000 -0.004 -0.003 -0.076
-        2  0.13085  -0.004  1.000 -0.001  0.131
-        3  0.00322  -0.003 -0.001  1.000  0.000
-        4  0.15092  -0.076  0.131  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-883.276 +- 0.575584
-44.0177 +- 0.449699
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31847.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.15004e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.07919e+02
-   3  sg_p2        1.34843e+00   5.00000e-01   0.00000e+00   1.01663e+02
-   4  sg_p3        1.18098e+00   7.00000e-01  -7.24255e-01  -8.67138e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.8133e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14708e+02   6.08444e-01   1.29613e-03   1.05815e-01
-   2  sg_p1        3.02451e+01   5.68219e-01   5.56289e-03   1.74811e-02
-   3  sg_p2        2.07933e+00   1.35380e-01   6.08573e-03   1.51761e-02
-   4  sg_p3        1.21527e+00   6.15917e-02   1.48479e-03   1.57009e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.702e-01 -2.155e-01 -1.002e-02 -2.676e-02 
- -2.155e-01  3.236e-01  3.008e-02  2.846e-02 
- -1.002e-02  3.008e-02  1.835e-02  2.403e-03 
- -2.676e-02  2.846e-02  2.403e-03  3.794e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.72659   1.000 -0.623 -0.122 -0.714
-        2  0.83258  -0.623  1.000  0.390  0.812
-        3  0.42083  -0.122  0.390  1.000  0.288
-        4  0.85489  -0.714  0.812  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=2.07761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14708e+02   6.37633e-01   5.18452e-05   1.17968e-01
-   2  sg_p1        3.02451e+01   6.04034e-01   2.22516e-04   3.74720e-01
-   3  sg_p2        2.07933e+00   1.39479e-01   2.43429e-04  -1.69071e-01
-   4  sg_p3        1.21527e+00   6.62844e-02   5.93916e-05  -7.11249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.066e-01 -2.540e-01 -1.389e-02 -3.139e-02 
- -2.540e-01  3.658e-01  3.536e-02  3.345e-02 
- -1.389e-02  3.536e-02  1.948e-02  2.966e-03 
- -3.139e-02  3.345e-02  2.966e-03  4.395e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75434   1.000 -0.659 -0.156 -0.743
-        2  0.85324  -0.659  1.000  0.419  0.834
-        3  0.44886  -0.156  0.419  1.000  0.321
-        4  0.87300  -0.743  0.834  0.321  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.708 +- 0.637633
-30.2451 +- 0.604034
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=32076.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.42825e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.66341e+02
-   3  sg_p2        1.24756e+00   5.00000e-01   0.00000e+00   1.32032e+02
-   4  sg_p3        1.51475e+00   7.00000e-01  -6.03120e-01   6.41643e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.2508e+00  8.3406e-01  1.1303e+00  4.2864e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 2.255047 TO DIAGONAL.
- FCN=31897 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         293 TOTAL
-                     EDM=0.00241152    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   6.95098e-01   1.30051e-03   1.46076e-01
-   2  sg_p1        3.03755e+01   3.97597e-01   5.52810e-03   7.58612e-03
-   3  sg_p2        2.27801e+00   1.55888e+00   7.81545e-03   6.54139e-02
-   4  sg_p3        1.17081e+00   2.99817e-01   1.31225e-03   1.00535e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM MIGRAD    STATUS=CONVERGED     328 CALLS         329 TOTAL
-                     EDM=0.000214971    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   4.88559e-01   1.30052e-03   3.06873e-02
-   2  sg_p1        3.03754e+01   4.10963e-01   2.21124e-03   2.67746e-02
-   3  sg_p2        2.27858e+00   1.68057e-01   3.12618e-03   1.19850e-01
-   4  sg_p3        1.17071e+00   3.83284e-02   1.31215e-03   6.94100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.387e-01 -8.067e-02  2.183e-04 -9.547e-03 
- -8.067e-02  1.691e-01  1.601e-02  9.908e-03 
-  2.183e-04  1.601e-02  2.829e-02  8.281e-04 
- -9.547e-03  9.908e-03  8.281e-04  1.469e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52820   1.000 -0.402  0.003 -0.510
-        2  0.65548  -0.402  1.000  0.231  0.629
-        3  0.25444   0.003  0.231  1.000  0.128
-        4  0.68871  -0.510  0.629  0.128  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM HESSE     STATUS=OK             23 CALLS         352 TOTAL
-                     EDM=0.000216668    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.17231e+02   4.89066e-01   5.20206e-05   1.81768e-01
-   2  sg_p1        3.03754e+01   4.11848e-01   4.42248e-04   3.93462e-01
-   3  sg_p2        2.27858e+00   1.68511e-01   6.25236e-04  -8.86838e-02
-   4  sg_p3        1.17071e+00   3.83872e-02   2.62429e-04  -7.28178e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.392e-01 -8.128e-02  1.943e-04 -9.592e-03 
- -8.128e-02  1.698e-01  1.629e-02  9.968e-03 
-  1.943e-04  1.629e-02  2.844e-02  8.443e-04 
- -9.592e-03  9.968e-03  8.443e-04  1.474e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52961   1.000 -0.403  0.002 -0.511
-        2  0.65734  -0.403  1.000  0.234  0.630
-        3  0.25774   0.002  0.234  1.000  0.130
-        4  0.68988  -0.511  0.630  0.130  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-917.231 +- 0.489066
-30.3754 +- 0.411848
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31270.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.11670e+02   8.00000e+00   4.17695e-02   1.48625e+01
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.41145e+02
-   3  sg_p2        1.45615e+00   5.00000e-01   0.00000e+00  -1.80733e+01
-   4  sg_p3        1.27355e+00   7.00000e-01   0.00000e+00   5.00168e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=1.00647e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.12666e+02   5.93671e-01   1.27735e-03   2.63765e-02
-   2  sg_p1        2.96697e+01   6.13867e-01   5.39370e-03   1.70034e-02
-   3  sg_p2        1.86746e+00   1.16178e-01   4.79471e-03   1.24233e-02
-   4  sg_p3        1.20141e+00   6.21896e-02   1.45289e-03   7.47047e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.525e-01 -2.113e-01 -9.800e-03 -2.540e-02 
- -2.113e-01  3.778e-01  3.879e-02  3.144e-02 
- -9.800e-03  3.879e-02  1.351e-02  2.946e-03 
- -2.540e-02  3.144e-02  2.946e-03  3.868e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71041   1.000 -0.579 -0.142 -0.688
-        2  0.85591  -0.579  1.000  0.543  0.822
-        3  0.58356  -0.142  0.543  1.000  0.408
-        4  0.86266  -0.688  0.822  0.408  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=1.03715e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.12666e+02   5.96901e-01   2.55470e-04   6.66929e-02
-   2  sg_p1        2.96697e+01   6.22112e-01   2.15748e-04   2.93491e-01
-   3  sg_p2        1.86746e+00   1.17183e-01   1.91788e-04  -2.55796e-01
-   4  sg_p3        1.20141e+00   6.28752e-02   5.81156e-05  -7.16489e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.563e-01 -2.172e-01 -1.053e-02 -2.596e-02 
- -2.172e-01  3.880e-01  4.037e-02  3.237e-02 
- -1.053e-02  4.037e-02  1.374e-02  3.084e-03 
- -2.596e-02  3.237e-02  3.084e-03  3.954e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71417   1.000 -0.584 -0.151 -0.692
-        2  0.86002  -0.584  1.000  0.553  0.827
-        3  0.59309  -0.151  0.553  1.000  0.418
-        4  0.86587  -0.692  0.827  0.418  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-912.666 +- 0.596901
-29.6697 +- 0.622112
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31402.8 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -6.41887e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.32609e+02
-   3  sg_p2        1.21873e+00   5.00000e-01   0.00000e+00   2.82004e+01
-   4  sg_p3        1.29003e+00   7.00000e-01  -6.83382e-01   3.00498e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM MIGRAD    STATUS=CONVERGED     202 CALLS         203 TOTAL
-                     EDM=9.20948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14895e+02   5.51583e-01   1.31460e-03   1.61689e-01
-   2  sg_p1        3.03350e+01   7.44882e-01   5.76073e-03  -3.27245e-02
-   3  sg_p2        1.86472e+00   2.01246e-01   6.02311e-03  -3.75996e-03
-   4  sg_p3        1.20817e+00   6.26611e-02   1.44547e-03   2.50672e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.043e-01 -1.559e-01 -6.728e-03 -1.871e-02 
- -1.559e-01  5.570e-01  1.146e-01  3.885e-02 
- -6.728e-03  1.146e-01  4.059e-02  7.410e-03 
- -1.871e-02  3.885e-02  7.410e-03  3.927e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63293   1.000 -0.379 -0.061 -0.541
-        2  0.89852  -0.379  1.000  0.762  0.831
-        3  0.80154  -0.061  0.762  1.000  0.587
-        4  0.86629  -0.541  0.831  0.587  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM HESSE     STATUS=OK             23 CALLS         226 TOTAL
-                     EDM=9.24142e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14895e+02   5.53867e-01   2.62920e-04   1.22682e-01
-   2  sg_p1        3.03350e+01   7.70523e-01   2.30429e-04   3.87633e-01
-   3  sg_p2        1.86472e+00   2.07594e-01   2.40925e-04  -2.56930e-01
-   4  sg_p3        1.20817e+00   6.42645e-02   5.78186e-05  -7.13930e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.068e-01 -1.637e-01 -8.469e-03 -1.930e-02 
- -1.637e-01  5.962e-01  1.248e-01  4.167e-02 
- -8.469e-03  1.248e-01  4.320e-02  8.128e-03 
- -1.930e-02  4.167e-02  8.128e-03  4.131e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63682   1.000 -0.383 -0.074 -0.542
-        2  0.90554  -0.383  1.000  0.777  0.840
-        3  0.81484  -0.074  0.777  1.000  0.608
-        4  0.87336  -0.542  0.840  0.608  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.895 +- 0.553867
-30.335 +- 0.770523
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31997 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.37823e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -7.64703e+01
-   3  sg_p2        1.30597e+00   5.00000e-01   0.00000e+00  -1.46520e+01
-   4  sg_p3        1.20892e+00   7.00000e-01  -7.13644e-01   4.56011e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM MIGRAD    STATUS=CONVERGED     187 CALLS         188 TOTAL
-                     EDM=0.000455256    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14847e+02   4.88994e-01   1.26432e-03   4.89756e-01
-   2  sg_p1        2.93287e+01   6.86296e-01   5.26048e-03   5.85295e-02
-   3  sg_p2        1.92235e+00   2.48995e-01   6.70981e-03   1.75003e-01
-   4  sg_p3        1.17091e+00   4.94270e-02   1.31942e-03  -2.75253e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.391e-01 -5.711e-02  1.273e-02 -9.083e-03 
- -5.711e-02  4.724e-01  1.369e-01  2.673e-02 
-  1.273e-02  1.369e-01  6.222e-02  7.189e-03 
- -9.083e-03  2.673e-02  7.189e-03  2.443e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55484   1.000 -0.170  0.104 -0.376
-        2  0.89241  -0.170  1.000  0.799  0.787
-        3  0.83537   0.104  0.799  1.000  0.583
-        4  0.82462  -0.376  0.787  0.583  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM HESSE     STATUS=OK             29 CALLS         217 TOTAL
-                     EDM=0.000126642    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14847e+02   4.87177e-01   2.52865e-04   1.21475e-01
-   2  sg_p1        2.93287e+01   4.44229e-01   2.10419e-04   2.46308e-01
-   3  sg_p2        1.92235e+00   1.10134e-01   2.00630e-01  -2.33169e-01
-   4  sg_p3        1.17091e+00   4.11749e-02   5.27768e-05  -7.28101e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.374e-01 -8.558e-02  4.043e-04 -1.061e-02 
- -8.558e-02  1.976e-01  1.759e-02  1.238e-02 
-  4.043e-04  1.759e-02  1.214e-02  9.448e-04 
- -1.061e-02  1.238e-02  9.448e-04  1.696e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55015   1.000 -0.395  0.008 -0.529
-        2  0.71638  -0.395  1.000  0.359  0.676
-        3  0.39465   0.008  0.359  1.000  0.208
-        4  0.73407  -0.529  0.676  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.847 +- 0.487177
-29.3287 +- 0.444229
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29376.3 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.21334e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.14912e+02
-   3  sg_p2        1.36391e+00   5.00000e-01   0.00000e+00   1.01339e+02
-   4  sg_p3        1.20442e+00   7.00000e-01  -7.15346e-01   5.08593e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM MIGRAD    STATUS=CONVERGED     194 CALLS         195 TOTAL
-                     EDM=0.000205755    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14660e+02   4.99096e-01   1.29653e-03  -5.11216e-02
-   2  sg_p1        3.02540e+01   3.59225e-01   5.55826e-03   5.44144e-02
-   3  sg_p2        2.08275e+00   1.37518e-01   6.20642e-03   1.37624e-01
-   4  sg_p3        1.21801e+00   3.97286e-02   1.50718e-03  -6.59977e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.491e-01  5.789e-03  1.174e-02 -9.048e-03 
-  5.789e-03  1.292e-01  1.502e-02 -3.879e-03 
-  1.174e-02  1.502e-02  1.893e-02 -7.314e-04 
- -9.048e-03 -3.879e-03 -7.314e-04  1.578e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48768   1.000  0.032  0.171 -0.456
-        2  0.40688   0.032  1.000  0.304 -0.272
-        3  0.34471   0.171  0.304  1.000 -0.134
-        4  0.52420  -0.456 -0.272 -0.134  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM HESSE     STATUS=OK             23 CALLS         218 TOTAL
-                     EDM=0.000176487    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14660e+02   6.63602e-01   2.59307e-04   1.16777e-01
-   2  sg_p1        3.02540e+01   6.28299e-01   2.22330e-04   3.75996e-01
-   3  sg_p2        2.08275e+00   1.45711e-01   2.48257e-04  -1.67686e-01
-   4  sg_p3        1.21801e+00   6.93582e-02   3.01436e-04  -7.10215e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.404e-01 -2.750e-01 -1.507e-02 -3.419e-02 
- -2.750e-01  3.958e-01  3.829e-02  3.641e-02 
- -1.507e-02  3.829e-02  2.126e-02  3.230e-03 
- -3.419e-02  3.641e-02  3.230e-03  4.812e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75425   1.000 -0.659 -0.156 -0.743
-        2  0.85307  -0.659  1.000  0.417  0.834
-        3  0.44715  -0.156  0.417  1.000  0.319
-        4  0.87298  -0.743  0.834  0.319  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.66 +- 0.663602
-30.254 +- 0.628299
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=34491.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -1.23996e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.14064e+01
-   3  sg_p2        1.33344e+00   5.00000e-01   0.00000e+00   1.23543e+02
-   4  sg_p3        1.01604e+00   7.00000e-01  -7.89075e-01  -7.54461e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=1.48214e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14750e+02   5.25007e-01   1.29029e-03   2.37283e-01
-   2  sg_p1        3.02408e+01   4.81625e-01   5.53748e-03  -1.27642e-02
-   3  sg_p2        2.07745e+00   1.27929e-01   6.14558e-03   4.69647e-02
-   4  sg_p3        1.21295e+00   5.03011e-02   1.45362e-03   1.82273e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -1.325e-01 -3.877e-03 -1.666e-02 
- -1.325e-01  2.323e-01  2.235e-02  1.825e-02 
- -3.877e-03  2.235e-02  1.638e-02  1.568e-03 
- -1.666e-02  1.825e-02  1.568e-03  2.531e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64731   1.000 -0.523 -0.058 -0.631
-        2  0.77971  -0.523  1.000  0.362  0.753
-        3  0.39469  -0.058  0.362  1.000  0.244
-        4  0.80244  -0.631  0.753  0.244  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM HESSE     STATUS=OK             23 CALLS         212 TOTAL
-                     EDM=1.52019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14750e+02   5.22645e-01   2.58059e-04   1.19022e-01
-   2  sg_p1        3.02408e+01   4.78916e-01   2.21499e-04   3.74107e-01
-   3  sg_p2        2.07745e+00   1.30836e-01   2.45823e-04  -1.69835e-01
-   4  sg_p3        1.21295e+00   4.98205e-02   5.81447e-05  -7.12123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.732e-01 -1.292e-01 -3.790e-03 -1.629e-02 
- -1.292e-01  2.297e-01  2.340e-02  1.784e-02 
- -3.790e-03  2.340e-02  1.713e-02  1.620e-03 
- -1.629e-02  1.784e-02  1.620e-03  2.482e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64323   1.000 -0.516 -0.055 -0.626
-        2  0.77685  -0.516  1.000  0.373  0.747
-        3  0.40646  -0.055  0.373  1.000  0.248
-        4  0.79826  -0.626  0.747  0.248  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.75 +- 0.522645
-30.2408 +- 0.478916
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 914.708 +- 0.637633 (stat) - 2.04205 + 2.52294 (syst); -2.06678/+2.54301 (total)
-   Uncertainty on sg_p1 = 30.2451 +- 0.604034 (stat) - 0.916401 + 0.130325 (syst); -0.964886/+0.328936 (total)
-   Uncertainty on sg_p2 = 2.07933 +- 0.139479 (stat) - 0.214614 + 0.199247 (syst); -0.225661/+0.2111 (total)
-   Uncertainty on sg_p3 = 1.21527 +- 0.0662844 (stat) - 0.0445565 + 0.00274258 (syst); -0.055531/+0.0332555 (total)
-   === Baseline plot === </br>
-   norm = 232.078
-JEC     lnN   1.00857  -
-JER     lnN   1.01164  -
-btag    lnN   1.0799  -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt
deleted file mode 100644
index 87552f0..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  6.61454 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.35523    -
-JER       lnN     1.0152   - 
-JEC       lnN     1.01006   -
-trigger   lnN     1.10    -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log
deleted file mode 100644
index 626a232..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log
+++ /dev/null
@@ -1,945 +0,0 @@
-
-Processing test.c...
-nSignal_init = 50000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24889.5 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.22453e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.53589e+02
-   3  sg_p2        9.89758e-01   5.00000e-01   0.00000e+00   2.96541e+02
-   4  sg_p3        7.78994e-01   7.00000e-01  -8.90570e-01   5.10370e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.15992e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.90383e+02   1.26314e+00   1.88989e-03   1.21344e-01
-   2  sg_p1        4.50000e+01   1.21905e-01   1.69196e-02** at limit **
-   3  sg_p2        1.02011e+00   4.11152e-02   1.91933e-03   2.89472e-02
-   4  sg_p3        1.18700e+00   6.01449e-02   1.87537e-03   1.46355e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.596e+00  4.010e-06  2.573e-02 -4.941e-02 
-  4.010e-06  1.885e-07 -1.275e-07 -4.838e-07 
-  2.573e-02 -1.275e-07  1.691e-03 -5.988e-04 
- -4.941e-02 -4.838e-07 -5.988e-04  3.618e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73763   1.000  0.007  0.495 -0.650
-        2  0.02208   0.007  1.000 -0.007 -0.019
-        3  0.50646   0.495 -0.007  1.000 -0.242
-        4  0.65685  -0.650 -0.019 -0.242  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=1.17259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.90383e+02   1.26342e+00   3.77979e-04  -1.93551e-01
-   2  sg_p1        4.50000e+01   1.21891e-01   3.38391e-03   1.57107e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.02011e+00   4.11293e-02   7.67732e-05  -6.33481e-01
-   4  sg_p3        1.18700e+00   6.01270e-02   7.50148e-05  -7.21959e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.597e+00  9.064e-07  2.577e-02 -4.939e-02 
-  9.064e-07  1.885e-07 -2.868e-08 -1.091e-07 
-  2.577e-02 -2.868e-08  1.692e-03 -5.978e-04 
- -4.939e-02 -1.091e-07 -5.978e-04  3.616e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73776   1.000  0.002  0.496 -0.650
-        2  0.00498   0.002  1.000 -0.002 -0.004
-        3  0.50696   0.496 -0.002  1.000 -0.242
-        4  0.65659  -0.650 -0.004 -0.242  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-990.383 +- 1.26342
-45 +- 0.121891
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24403.1 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.26882e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.93966e+02
-   3  sg_p2        9.63072e-01   5.00000e-01   0.00000e+00   2.31928e+02
-   4  sg_p3        8.86770e-01   7.00000e-01  -8.42993e-01   8.03262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=6.49551e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.95493e+02   9.33476e-01   1.79739e-03  -1.13004e-01
-   2  sg_p1        4.50000e+01   1.21162e-01   1.67946e-02** at limit **
-   3  sg_p2        1.13607e+00   4.42015e-02   2.25943e-03  -2.24141e-01
-   4  sg_p3        1.13155e+00   4.13228e-02   1.53138e-03   2.62522e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  8.715e-01  4.578e-06  3.814e-04 -1.748e-02 
-  4.578e-06  9.111e-07 -4.559e-07 -5.336e-07 
-  3.814e-04 -4.559e-07  1.954e-03  1.592e-04 
- -1.748e-02 -5.336e-07  1.592e-04  1.708e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.45573   1.000  0.005  0.009 -0.453
-        2  0.01663   0.005  1.000 -0.011 -0.014
-        3  0.10332   0.009 -0.011  1.000  0.087
-        4  0.46232  -0.453 -0.014  0.087  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=9.33859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.95493e+02   1.04671e+00   3.59477e-04  -9.02624e-02
-   2  sg_p1        4.50000e+01   1.21173e-01   3.35892e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.13607e+00   4.95685e-02   4.51887e-04  -5.77071e-01
-   4  sg_p3        1.13155e+00   4.14941e-02   3.06277e-04  -7.43270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.096e+00  5.239e-08  2.349e-02 -1.999e-02 
-  5.239e-08  9.112e-07 -6.164e-08 -6.151e-08 
-  2.349e-02 -6.164e-08  2.457e-03 -2.607e-04 
- -1.999e-02 -6.151e-08 -2.607e-04  1.722e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60817   1.000  0.000  0.453 -0.460
-        2  0.00217   0.000  1.000 -0.001 -0.002
-        3  0.46189   0.453 -0.001  1.000 -0.127
-        4  0.46928  -0.460 -0.002 -0.127  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-995.493 +- 1.04671
-45 +- 0.121173
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=25056.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   4.08464e+01
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.81870e+02
-   3  sg_p2        1.21059e+00   5.00000e-01   0.00000e+00   5.34510e+02
-   4  sg_p3        6.71391e-01   7.00000e-01  -2.20055e+00  -8.87064e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=5.5921e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.84744e+02   1.19560e+00   1.95809e-03   2.95439e-02
-   2  sg_p1        4.50000e+01   1.21031e-01   1.69661e-02** at limit **
-   3  sg_p2        9.63081e-01   3.97444e-02   1.82185e-03  -6.76282e-03
-   4  sg_p3        1.23132e+00   5.50596e-02   1.88577e-03  -4.12979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.430e+00 -3.803e-08  2.612e-02  3.540e-02 
- -3.803e-08  3.884e-10 -9.020e-09  1.301e-08 
-  2.612e-02 -9.020e-09  1.580e-03  4.623e-04 
-  3.540e-02  1.301e-08  4.623e-04  3.032e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69869   1.000 -0.002  0.550  0.538
-        2  0.01886  -0.002  1.000 -0.012  0.012
-        3  0.55874   0.550 -0.012  1.000  0.211
-        4  0.54722   0.538  0.012  0.211  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM HESSE     STATUS=OK             23 CALLS         252 TOTAL
-                     EDM=5.61522e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.84744e+02   1.19463e+00   7.83235e-05  -3.10063e-01
-   2  sg_p1        4.50000e+01   1.21032e-01   3.39322e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        9.63081e-01   3.97567e-02   7.28742e-05  -6.62091e-01
-   4  sg_p3        1.23132e+00   5.49819e-02   7.54308e-05  -2.43638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.427e+00 -7.637e-09  2.613e-02  3.521e-02 
- -7.637e-09  3.884e-10 -1.811e-09  2.617e-09 
-  2.613e-02 -1.811e-09  1.581e-03  4.609e-04 
-  3.521e-02  2.617e-09  4.609e-04  3.023e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69809   1.000 -0.000  0.550  0.536
-        2  0.00379  -0.000  1.000 -0.002  0.002
-        3  0.55912   0.550 -0.002  1.000  0.211
-        4  0.54541   0.536  0.002  0.211  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-984.744 +- 1.19463
-45 +- 0.121032
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23747 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   1.99056e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.60594e+02
-   3  sg_p2        9.21832e-01   5.00000e-01   0.00000e+00   1.22069e+02
-   4  sg_p3        1.41673e+00   7.00000e-01  -6.37540e-01   4.87774e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=7.40636e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01658e+03   8.13144e-01   2.06376e-03  -3.76416e-01
-   2  sg_p1        4.00000e+01   4.68280e-01   3.89370e-02** at limit **
-   3  sg_p2        1.22240e+00   5.07108e-02   2.32615e-03   2.98325e-01
-   4  sg_p3        1.49206e+00   7.79105e-02   2.55089e-03  -7.56703e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.613e-01  1.056e-05  1.493e-02 -2.862e-02 
-  1.056e-05  1.856e-06 -2.776e-06 -7.148e-06 
-  1.493e-02 -2.776e-06  2.572e-03 -4.218e-04 
- -2.862e-02 -7.148e-06 -4.218e-04  6.072e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55096   1.000  0.010  0.362 -0.452
-        2  0.08279   0.010  1.000 -0.040 -0.067
-        3  0.36961   0.362 -0.040  1.000 -0.107
-        4  0.45964  -0.452 -0.067 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM HESSE     STATUS=OK             23 CALLS         272 TOTAL
-                     EDM=7.50694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01658e+03   8.10249e-01   4.12751e-04   4.50469e-02
-   2  sg_p1        4.00000e+01   4.69104e-01   7.78740e-03   1.57131e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22240e+00   5.04194e-02   4.65229e-04  -5.36395e-01
-   4  sg_p3        1.49206e+00   7.77461e-02   1.02036e-04  -6.11014e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.566e-01  2.550e-06  1.440e-02 -2.848e-02 
-  2.550e-06  1.859e-06 -6.023e-07 -1.591e-06 
-  1.440e-02 -6.023e-07  2.543e-03 -4.084e-04 
- -2.848e-02 -1.591e-06 -4.084e-04  6.046e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54642   1.000  0.002  0.353 -0.452
-        2  0.01831   0.002  1.000 -0.009 -0.015
-        3  0.35800   0.353 -0.009  1.000 -0.104
-        4  0.45596  -0.452 -0.015 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.58 +- 0.810249
-40 +- 0.469104
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23321 FROM MIGRAD    STATUS=INITIATE       62 CALLS          63 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -2.15456e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   8.44246e+00
-   3  sg_p2        8.58947e-01   5.00000e-01   0.00000e+00   1.85345e+02
-   4  sg_p3        9.45698e-01   7.00000e-01  -8.18030e-01  -4.63007e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             25 CALLS         397 TOTAL
-                     EDM=0.00260498    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01832e+03   7.86712e-01   2.07176e-03   2.20958e+00
-   2  sg_p1        3.99993e+01   1.77184e+00   7.04451e-02  -2.46019e-02
-   3  sg_p2        1.21002e+00   5.23460e-02   1.24212e-03  -3.03189e+00
-   4  sg_p3        1.46453e+00   6.41490e-02   2.20715e-03   4.63062e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23288 FROM MIGRAD    STATUS=CONVERGED     405 CALLS         406 TOTAL
-                     EDM=3.27684e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.7 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01831e+03   7.85112e-01  -4.32924e-04  -2.09259e-02
-   2  sg_p1        3.99999e+01   1.83061e+00   8.35977e-03  -1.12946e-02
-   3  sg_p2        1.21288e+00   5.27607e-02   1.33598e-03  -8.93872e-02
-   4  sg_p3        1.46454e+00   6.41540e-02   6.09141e-06  -1.12247e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.165e-01 -9.032e-04  1.537e-02 -1.778e-02 
- -9.032e-04  7.440e-04 -2.479e-05 -1.812e-04 
-  1.537e-02 -2.479e-05  2.784e-03 -1.646e-04 
- -1.778e-02 -1.812e-04 -1.646e-04  4.116e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.50511   1.000 -0.042  0.371 -0.353
-        2  0.13383  -0.042  1.000 -0.017 -0.104
-        3  0.38141   0.371 -0.017  1.000 -0.049
-        4  0.38267  -0.353 -0.104 -0.049  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             27 CALLS         433 TOTAL
-                     EDM=6.045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01831e+03   7.86243e-01   2.07195e-03   9.46567e-02
-   2  sg_p1        3.99999e+01   1.65716e+00   2.81780e-02   1.56570e+00
-   3  sg_p2        1.21288e+00   5.23867e-02   2.37732e-03  -5.40830e-01
-   4  sg_p3        1.46454e+00   6.37794e-02   2.20581e-03  -6.20643e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.183e-01 -1.323e-04  1.524e-02 -1.755e-02 
- -1.323e-04  6.707e-04 -5.377e-05 -7.207e-05 
-  1.524e-02 -5.377e-05  2.745e-03 -2.465e-04 
- -1.755e-02 -7.207e-05 -2.465e-04  4.068e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49151   1.000 -0.006  0.370 -0.350
-        2  0.06175  -0.006  1.000 -0.040 -0.044
-        3  0.37636   0.370 -0.040  1.000 -0.074
-        4  0.35760  -0.350 -0.044 -0.074  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1018.31 +- 0.786243
-39.9999 +- 1.65716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23875.8 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   4.43398e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.77680e+02
-   3  sg_p2        9.21219e-01   5.00000e-01   0.00000e+00   7.52454e+00
-   4  sg_p3        1.40649e+00   7.00000e-01  -6.41185e-01   5.95628e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=7.75608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01285e+03   8.33665e-01   2.07912e-03   1.70866e-02
-   2  sg_p1        3.98091e+01   8.48923e-01   3.16082e-02  -1.03759e-02
-   3  sg_p2        1.12381e+00   5.95622e-02   2.13485e-03   3.30200e-01
-   4  sg_p3        1.54010e+00   8.22224e-02   2.41055e-03  -1.53820e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.951e-01  2.065e-01  2.518e-02 -6.574e-03 
-  2.065e-01  6.697e-01  3.047e-02  3.584e-02 
-  2.518e-02  3.047e-02  3.549e-03  1.365e-03 
- -6.574e-03  3.584e-02  1.365e-03  6.762e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.57532   1.000  0.303  0.507 -0.096
-        2  0.73404   0.303  1.000  0.625  0.533
-        3  0.70991   0.507  0.625  1.000  0.279
-        4  0.59907  -0.096  0.533  0.279  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=7.73708e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01285e+03   8.49657e-01   4.15824e-04  -6.14668e-02
-   2  sg_p1        3.98091e+01   1.04461e+00   1.26433e-03   1.34471e+00
-   3  sg_p2        1.12381e+00   6.43212e-02   4.26970e-04  -5.82935e-01
-   4  sg_p3        1.54010e+00   8.72084e-02   9.64222e-05  -5.94353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.221e-01  2.723e-01  2.914e-02 -1.973e-03 
-  2.723e-01  8.279e-01  4.043e-02  4.780e-02 
-  2.914e-02  4.043e-02  4.139e-03  2.068e-03 
- -1.973e-03  4.780e-02  2.068e-03  7.608e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59661   1.000  0.352  0.533 -0.027
-        2  0.79068   0.352  1.000  0.691  0.602
-        3  0.75807   0.533  0.691  1.000  0.369
-        4  0.65582  -0.027  0.602  0.369  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1012.85 +- 0.849657
-39.8091 +- 1.04461
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23239.4 FROM MIGRAD    STATUS=INITIATE       64 CALLS          65 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.27750e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   1.26948e-01
-   3  sg_p2        8.74738e-01   5.00000e-01   0.00000e+00   1.80702e+02
-   4  sg_p3        9.26595e-01   7.00000e-01  -8.26048e-01  -4.27618e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=0.00014251    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01577e+03   8.64818e-01   2.10463e-03   2.40523e-01
-   2  sg_p1        3.99999e+01   1.00303e+00   5.37328e-02  -1.94869e-02
-   3  sg_p2        1.13318e+00   5.62974e-02   2.39200e-03  -5.76330e-02
-   4  sg_p3        1.52247e+00   6.86424e-02   2.34430e-03   1.64373e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.481e-01 -1.096e-03  2.562e-02 -1.857e-02 
- -1.096e-03  4.530e-04 -1.315e-04 -8.807e-05 
-  2.562e-02 -1.315e-04  3.170e-03 -3.976e-04 
- -1.857e-02 -8.807e-05 -3.976e-04  4.713e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.58719   1.000 -0.060  0.526 -0.313
-        2  0.13360  -0.060  1.000 -0.110 -0.060
-        3  0.53513   0.526 -0.110  1.000 -0.103
-        4  0.32913  -0.313 -0.060 -0.103  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM HESSE     STATUS=OK             29 CALLS         267 TOTAL
-                     EDM=0.000133982    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01577e+03   8.73102e-01   4.20925e-04   2.20882e-02
-   2  sg_p1        3.99999e+01   1.01940e+00   2.14931e-03   1.56537e+00
-   3  sg_p2        1.13318e+00   5.62622e-02   9.56802e-05  -5.78450e-01
-   4  sg_p3        1.52247e+00   7.21948e-02   7.98704e-02  -6.00445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.625e-01  2.144e-04  2.611e-02 -2.173e-02 
-  2.144e-04  4.606e-04  2.659e-05  2.032e-05 
-  2.611e-02  2.659e-05  3.166e-03 -5.636e-04 
- -2.173e-02  2.032e-05 -5.636e-04  5.213e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59764   1.000  0.011  0.531 -0.345
-        2  0.02791   0.011  1.000  0.022  0.013
-        3  0.53363   0.531  0.022  1.000 -0.139
-        4  0.34900  -0.345  0.013 -0.139  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1015.77 +- 0.873102
-39.9999 +- 1.0194
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23904.2 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.58334e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -6.45414e+00
-   3  sg_p2        9.40575e-01   5.00000e-01   0.00000e+00   2.02619e+02
-   4  sg_p3        9.50207e-01   7.00000e-01  -8.16148e-01  -4.42963e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM MIGRAD    STATUS=CONVERGED     250 CALLS         251 TOTAL
-                     EDM=1.36548e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01639e+03   7.28586e-01   2.01823e-03  -1.76359e-02
-   2  sg_p1        4.00000e+01   7.49353e-01   4.69202e-02  -5.91552e-03
-   3  sg_p2        1.26989e+00   5.63661e-02   2.54093e-03   8.80770e-02
-   4  sg_p3        1.53945e+00   6.56083e-02   2.27702e-03  -7.24550e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.309e-01 -7.297e-05  1.348e-02 -1.019e-02 
- -7.297e-05  1.681e-05 -1.973e-05 -2.021e-05 
-  1.348e-02 -1.973e-05  3.178e-03  5.005e-04 
- -1.019e-02 -2.021e-05  5.005e-04  4.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41880   1.000 -0.024  0.328 -0.213
-        2  0.10777  -0.024  1.000 -0.085 -0.075
-        3  0.39425   0.328 -0.085  1.000  0.135
-        4  0.31076  -0.213 -0.075  0.135  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM HESSE     STATUS=OK             23 CALLS         274 TOTAL
-                     EDM=1.44816e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01639e+03   7.40109e-01   4.03646e-04   3.97032e-02
-   2  sg_p1        4.00000e+01   7.56384e-01   9.38403e-03   1.56958e+00
-   3  sg_p2        1.26989e+00   5.58118e-02   1.01637e-04  -5.14435e-01
-   4  sg_p3        1.53945e+00   6.43105e-02   9.10809e-05  -5.94577e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.478e-01 -1.128e-05  1.525e-02 -1.306e-02 
- -1.128e-05  1.697e-05 -2.641e-06 -2.503e-06 
-  1.525e-02 -2.641e-06  3.116e-03 -1.984e-04 
- -1.306e-02 -2.503e-06 -1.984e-04  4.137e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44819   1.000 -0.004  0.369 -0.274
-        2  0.01546  -0.004  1.000 -0.011 -0.009
-        3  0.37224   0.369 -0.011  1.000 -0.055
-        4  0.27895  -0.274 -0.009 -0.055  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.39 +- 0.740109
-40 +- 0.756384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16426.3 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   2.76971e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -7.40412e+01
-   3  sg_p2        7.53407e-01   5.00000e-01   0.00000e+00  -2.61313e+02
-   4  sg_p3        1.41708e+00   7.00000e-01  -6.37416e-01   3.61680e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.2739e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01657e+03   9.77555e-01   2.06312e-03  -3.61028e-03
-   2  sg_p1        4.00000e+01   6.78180e-01   3.73477e-02  -7.76696e-03
-   3  sg_p2        1.22238e+00   6.09231e-02   2.33024e-03  -3.84112e-02
-   4  sg_p3        1.49153e+00   9.35612e-02   2.57411e-03  -3.75876e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.559e-01  3.743e-05  2.152e-02 -4.133e-02 
-  3.743e-05  2.111e-05 -9.720e-06 -2.510e-05 
-  2.152e-02 -9.720e-06  3.713e-03 -6.103e-04 
- -4.133e-02 -2.510e-05 -6.103e-04  8.757e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55051   1.000  0.008  0.361 -0.452
-        2  0.07170   0.008  1.000 -0.035 -0.058
-        3  0.36817   0.361 -0.035  1.000 -0.107
-        4  0.45868  -0.452 -0.058 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM HESSE     STATUS=OK             23 CALLS         228 TOTAL
-                     EDM=1.33694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01657e+03   9.74476e-01   4.12624e-04   4.48931e-02
-   2  sg_p1        4.00000e+01   6.79952e-01   7.46954e-03   1.56937e+00
-   3  sg_p2        1.22238e+00   6.06205e-02   9.32097e-05  -5.36402e-01
-   4  sg_p3        1.49153e+00   9.34142e-02   1.02965e-04  -6.11196e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.499e-01  5.447e-06  2.083e-02 -4.116e-02 
-  5.447e-06  2.117e-05 -1.283e-06 -3.388e-06 
-  2.083e-02 -1.283e-06  3.676e-03 -5.904e-04 
- -4.116e-02 -3.388e-06 -5.904e-04  8.729e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54649   1.000  0.001  0.353 -0.452
-        2  0.00962   0.001  1.000 -0.005 -0.008
-        3  0.35791   0.353 -0.005  1.000 -0.104
-        4  0.45594  -0.452 -0.008 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.57 +- 0.974476
-40 +- 0.679952
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33287.9 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   3.29127e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -2.09458e+02
-   3  sg_p2        8.91728e-01   5.00000e-01   0.00000e+00   7.37516e+01
-   4  sg_p3        1.41601e+00   7.00000e-01  -6.37796e-01   6.89934e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=5.9663e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01659e+03   6.86602e-01   2.06298e-03   6.23454e-02
-   2  sg_p1        4.00000e+01   3.36413e-01   3.74809e-02** at limit **
-   3  sg_p2        1.22194e+00   4.27738e-02   2.32926e-03  -6.40806e-02
-   4  sg_p3        1.49222e+00   6.57997e-02   2.57024e-03  -1.52134e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.715e-01  8.305e-06  1.061e-02 -2.041e-02 
-  8.305e-06  1.928e-06 -2.165e-06 -5.598e-06 
-  1.061e-02 -2.165e-06  1.830e-03 -3.008e-04 
- -2.041e-02 -5.598e-06 -3.008e-04  4.330e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55055   1.000  0.009  0.361 -0.452
-        2  0.07527   0.009  1.000 -0.036 -0.061
-        3  0.36846   0.361 -0.036  1.000 -0.107
-        4  0.45894  -0.452 -0.061 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=6.1799e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01659e+03   6.84411e-01   4.12596e-04   4.54194e-02
-   2  sg_p1        4.00000e+01   3.37160e-01   7.49617e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22194e+00   4.25566e-02   9.31704e-05  -5.36608e-01
-   4  sg_p3        1.49222e+00   6.56863e-02   1.02809e-04  -6.10958e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.685e-01  1.563e-06  1.027e-02 -2.032e-02 
-  1.563e-06  1.932e-06 -3.692e-07 -9.768e-07 
-  1.027e-02 -3.692e-07  1.811e-03 -2.913e-04 
- -2.032e-02 -9.768e-07 -2.913e-04  4.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54648   1.000  0.002  0.353 -0.452
-        2  0.01305   0.002  1.000 -0.006 -0.011
-        3  0.35799   0.353 -0.006  1.000 -0.104
-        4  0.45593  -0.452 -0.011 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.59 +- 0.684411
-40 +- 0.33716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 1016.58 +- 0.810249 (stat) - 3.72609 + 1.73193 (syst); -3.74805/+1.77868 (total)
-   Uncertainty on sg_p1 = 40 +- 0.469104 (stat) - 0.190863 + 0 (syst); -0.302396/+0.234552 (total)
-   Uncertainty on sg_p2 = 1.2224 +- 0.0504194 (stat) - 0.0985888 + 0.0474949 (syst); -0.101761/+0.0537708 (total)
-   Uncertainty on sg_p3 = 1.49206 +- 0.0777461 (stat) - 0.0275125 + 0.0480377 (syst); -0.0476241/+0.0617959 (total)
-   === Baseline plot === </br>
-   norm = 330.727
-JEC     lnN   1.01006  -
-JER     lnN   1.0152  -
-btag    lnN   1.35523  -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
deleted file mode 100644
index e9ef472..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  6.61454 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.35523    -
-JER       lnN     1.0152   - 
-JEC       lnN     1.01006   -
-trigger   lnN     1.10    -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_novo_550_1200/signal1000_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_novo_550_1200/signal1000_sig.log
deleted file mode 100644
index 626a232..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_1000_novo_550_1200/signal1000_sig.log
+++ /dev/null
@@ -1,945 +0,0 @@
-
-Processing test.c...
-nSignal_init = 50000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24889.5 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.22453e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.53589e+02
-   3  sg_p2        9.89758e-01   5.00000e-01   0.00000e+00   2.96541e+02
-   4  sg_p3        7.78994e-01   7.00000e-01  -8.90570e-01   5.10370e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.15992e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.90383e+02   1.26314e+00   1.88989e-03   1.21344e-01
-   2  sg_p1        4.50000e+01   1.21905e-01   1.69196e-02** at limit **
-   3  sg_p2        1.02011e+00   4.11152e-02   1.91933e-03   2.89472e-02
-   4  sg_p3        1.18700e+00   6.01449e-02   1.87537e-03   1.46355e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.596e+00  4.010e-06  2.573e-02 -4.941e-02 
-  4.010e-06  1.885e-07 -1.275e-07 -4.838e-07 
-  2.573e-02 -1.275e-07  1.691e-03 -5.988e-04 
- -4.941e-02 -4.838e-07 -5.988e-04  3.618e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73763   1.000  0.007  0.495 -0.650
-        2  0.02208   0.007  1.000 -0.007 -0.019
-        3  0.50646   0.495 -0.007  1.000 -0.242
-        4  0.65685  -0.650 -0.019 -0.242  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=1.17259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.90383e+02   1.26342e+00   3.77979e-04  -1.93551e-01
-   2  sg_p1        4.50000e+01   1.21891e-01   3.38391e-03   1.57107e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.02011e+00   4.11293e-02   7.67732e-05  -6.33481e-01
-   4  sg_p3        1.18700e+00   6.01270e-02   7.50148e-05  -7.21959e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.597e+00  9.064e-07  2.577e-02 -4.939e-02 
-  9.064e-07  1.885e-07 -2.868e-08 -1.091e-07 
-  2.577e-02 -2.868e-08  1.692e-03 -5.978e-04 
- -4.939e-02 -1.091e-07 -5.978e-04  3.616e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73776   1.000  0.002  0.496 -0.650
-        2  0.00498   0.002  1.000 -0.002 -0.004
-        3  0.50696   0.496 -0.002  1.000 -0.242
-        4  0.65659  -0.650 -0.004 -0.242  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-990.383 +- 1.26342
-45 +- 0.121891
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24403.1 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.26882e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.93966e+02
-   3  sg_p2        9.63072e-01   5.00000e-01   0.00000e+00   2.31928e+02
-   4  sg_p3        8.86770e-01   7.00000e-01  -8.42993e-01   8.03262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=6.49551e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.95493e+02   9.33476e-01   1.79739e-03  -1.13004e-01
-   2  sg_p1        4.50000e+01   1.21162e-01   1.67946e-02** at limit **
-   3  sg_p2        1.13607e+00   4.42015e-02   2.25943e-03  -2.24141e-01
-   4  sg_p3        1.13155e+00   4.13228e-02   1.53138e-03   2.62522e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  8.715e-01  4.578e-06  3.814e-04 -1.748e-02 
-  4.578e-06  9.111e-07 -4.559e-07 -5.336e-07 
-  3.814e-04 -4.559e-07  1.954e-03  1.592e-04 
- -1.748e-02 -5.336e-07  1.592e-04  1.708e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.45573   1.000  0.005  0.009 -0.453
-        2  0.01663   0.005  1.000 -0.011 -0.014
-        3  0.10332   0.009 -0.011  1.000  0.087
-        4  0.46232  -0.453 -0.014  0.087  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=9.33859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.95493e+02   1.04671e+00   3.59477e-04  -9.02624e-02
-   2  sg_p1        4.50000e+01   1.21173e-01   3.35892e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.13607e+00   4.95685e-02   4.51887e-04  -5.77071e-01
-   4  sg_p3        1.13155e+00   4.14941e-02   3.06277e-04  -7.43270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.096e+00  5.239e-08  2.349e-02 -1.999e-02 
-  5.239e-08  9.112e-07 -6.164e-08 -6.151e-08 
-  2.349e-02 -6.164e-08  2.457e-03 -2.607e-04 
- -1.999e-02 -6.151e-08 -2.607e-04  1.722e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60817   1.000  0.000  0.453 -0.460
-        2  0.00217   0.000  1.000 -0.001 -0.002
-        3  0.46189   0.453 -0.001  1.000 -0.127
-        4  0.46928  -0.460 -0.002 -0.127  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-995.493 +- 1.04671
-45 +- 0.121173
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=25056.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   4.08464e+01
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.81870e+02
-   3  sg_p2        1.21059e+00   5.00000e-01   0.00000e+00   5.34510e+02
-   4  sg_p3        6.71391e-01   7.00000e-01  -2.20055e+00  -8.87064e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=5.5921e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.84744e+02   1.19560e+00   1.95809e-03   2.95439e-02
-   2  sg_p1        4.50000e+01   1.21031e-01   1.69661e-02** at limit **
-   3  sg_p2        9.63081e-01   3.97444e-02   1.82185e-03  -6.76282e-03
-   4  sg_p3        1.23132e+00   5.50596e-02   1.88577e-03  -4.12979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.430e+00 -3.803e-08  2.612e-02  3.540e-02 
- -3.803e-08  3.884e-10 -9.020e-09  1.301e-08 
-  2.612e-02 -9.020e-09  1.580e-03  4.623e-04 
-  3.540e-02  1.301e-08  4.623e-04  3.032e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69869   1.000 -0.002  0.550  0.538
-        2  0.01886  -0.002  1.000 -0.012  0.012
-        3  0.55874   0.550 -0.012  1.000  0.211
-        4  0.54722   0.538  0.012  0.211  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM HESSE     STATUS=OK             23 CALLS         252 TOTAL
-                     EDM=5.61522e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.84744e+02   1.19463e+00   7.83235e-05  -3.10063e-01
-   2  sg_p1        4.50000e+01   1.21032e-01   3.39322e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        9.63081e-01   3.97567e-02   7.28742e-05  -6.62091e-01
-   4  sg_p3        1.23132e+00   5.49819e-02   7.54308e-05  -2.43638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.427e+00 -7.637e-09  2.613e-02  3.521e-02 
- -7.637e-09  3.884e-10 -1.811e-09  2.617e-09 
-  2.613e-02 -1.811e-09  1.581e-03  4.609e-04 
-  3.521e-02  2.617e-09  4.609e-04  3.023e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69809   1.000 -0.000  0.550  0.536
-        2  0.00379  -0.000  1.000 -0.002  0.002
-        3  0.55912   0.550 -0.002  1.000  0.211
-        4  0.54541   0.536  0.002  0.211  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-984.744 +- 1.19463
-45 +- 0.121032
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23747 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   1.99056e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.60594e+02
-   3  sg_p2        9.21832e-01   5.00000e-01   0.00000e+00   1.22069e+02
-   4  sg_p3        1.41673e+00   7.00000e-01  -6.37540e-01   4.87774e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=7.40636e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01658e+03   8.13144e-01   2.06376e-03  -3.76416e-01
-   2  sg_p1        4.00000e+01   4.68280e-01   3.89370e-02** at limit **
-   3  sg_p2        1.22240e+00   5.07108e-02   2.32615e-03   2.98325e-01
-   4  sg_p3        1.49206e+00   7.79105e-02   2.55089e-03  -7.56703e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.613e-01  1.056e-05  1.493e-02 -2.862e-02 
-  1.056e-05  1.856e-06 -2.776e-06 -7.148e-06 
-  1.493e-02 -2.776e-06  2.572e-03 -4.218e-04 
- -2.862e-02 -7.148e-06 -4.218e-04  6.072e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55096   1.000  0.010  0.362 -0.452
-        2  0.08279   0.010  1.000 -0.040 -0.067
-        3  0.36961   0.362 -0.040  1.000 -0.107
-        4  0.45964  -0.452 -0.067 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM HESSE     STATUS=OK             23 CALLS         272 TOTAL
-                     EDM=7.50694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01658e+03   8.10249e-01   4.12751e-04   4.50469e-02
-   2  sg_p1        4.00000e+01   4.69104e-01   7.78740e-03   1.57131e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22240e+00   5.04194e-02   4.65229e-04  -5.36395e-01
-   4  sg_p3        1.49206e+00   7.77461e-02   1.02036e-04  -6.11014e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.566e-01  2.550e-06  1.440e-02 -2.848e-02 
-  2.550e-06  1.859e-06 -6.023e-07 -1.591e-06 
-  1.440e-02 -6.023e-07  2.543e-03 -4.084e-04 
- -2.848e-02 -1.591e-06 -4.084e-04  6.046e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54642   1.000  0.002  0.353 -0.452
-        2  0.01831   0.002  1.000 -0.009 -0.015
-        3  0.35800   0.353 -0.009  1.000 -0.104
-        4  0.45596  -0.452 -0.015 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.58 +- 0.810249
-40 +- 0.469104
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23321 FROM MIGRAD    STATUS=INITIATE       62 CALLS          63 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -2.15456e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   8.44246e+00
-   3  sg_p2        8.58947e-01   5.00000e-01   0.00000e+00   1.85345e+02
-   4  sg_p3        9.45698e-01   7.00000e-01  -8.18030e-01  -4.63007e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             25 CALLS         397 TOTAL
-                     EDM=0.00260498    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01832e+03   7.86712e-01   2.07176e-03   2.20958e+00
-   2  sg_p1        3.99993e+01   1.77184e+00   7.04451e-02  -2.46019e-02
-   3  sg_p2        1.21002e+00   5.23460e-02   1.24212e-03  -3.03189e+00
-   4  sg_p3        1.46453e+00   6.41490e-02   2.20715e-03   4.63062e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23288 FROM MIGRAD    STATUS=CONVERGED     405 CALLS         406 TOTAL
-                     EDM=3.27684e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.7 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01831e+03   7.85112e-01  -4.32924e-04  -2.09259e-02
-   2  sg_p1        3.99999e+01   1.83061e+00   8.35977e-03  -1.12946e-02
-   3  sg_p2        1.21288e+00   5.27607e-02   1.33598e-03  -8.93872e-02
-   4  sg_p3        1.46454e+00   6.41540e-02   6.09141e-06  -1.12247e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.165e-01 -9.032e-04  1.537e-02 -1.778e-02 
- -9.032e-04  7.440e-04 -2.479e-05 -1.812e-04 
-  1.537e-02 -2.479e-05  2.784e-03 -1.646e-04 
- -1.778e-02 -1.812e-04 -1.646e-04  4.116e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.50511   1.000 -0.042  0.371 -0.353
-        2  0.13383  -0.042  1.000 -0.017 -0.104
-        3  0.38141   0.371 -0.017  1.000 -0.049
-        4  0.38267  -0.353 -0.104 -0.049  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             27 CALLS         433 TOTAL
-                     EDM=6.045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01831e+03   7.86243e-01   2.07195e-03   9.46567e-02
-   2  sg_p1        3.99999e+01   1.65716e+00   2.81780e-02   1.56570e+00
-   3  sg_p2        1.21288e+00   5.23867e-02   2.37732e-03  -5.40830e-01
-   4  sg_p3        1.46454e+00   6.37794e-02   2.20581e-03  -6.20643e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.183e-01 -1.323e-04  1.524e-02 -1.755e-02 
- -1.323e-04  6.707e-04 -5.377e-05 -7.207e-05 
-  1.524e-02 -5.377e-05  2.745e-03 -2.465e-04 
- -1.755e-02 -7.207e-05 -2.465e-04  4.068e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49151   1.000 -0.006  0.370 -0.350
-        2  0.06175  -0.006  1.000 -0.040 -0.044
-        3  0.37636   0.370 -0.040  1.000 -0.074
-        4  0.35760  -0.350 -0.044 -0.074  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1018.31 +- 0.786243
-39.9999 +- 1.65716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23875.8 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   4.43398e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.77680e+02
-   3  sg_p2        9.21219e-01   5.00000e-01   0.00000e+00   7.52454e+00
-   4  sg_p3        1.40649e+00   7.00000e-01  -6.41185e-01   5.95628e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=7.75608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01285e+03   8.33665e-01   2.07912e-03   1.70866e-02
-   2  sg_p1        3.98091e+01   8.48923e-01   3.16082e-02  -1.03759e-02
-   3  sg_p2        1.12381e+00   5.95622e-02   2.13485e-03   3.30200e-01
-   4  sg_p3        1.54010e+00   8.22224e-02   2.41055e-03  -1.53820e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.951e-01  2.065e-01  2.518e-02 -6.574e-03 
-  2.065e-01  6.697e-01  3.047e-02  3.584e-02 
-  2.518e-02  3.047e-02  3.549e-03  1.365e-03 
- -6.574e-03  3.584e-02  1.365e-03  6.762e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.57532   1.000  0.303  0.507 -0.096
-        2  0.73404   0.303  1.000  0.625  0.533
-        3  0.70991   0.507  0.625  1.000  0.279
-        4  0.59907  -0.096  0.533  0.279  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=7.73708e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01285e+03   8.49657e-01   4.15824e-04  -6.14668e-02
-   2  sg_p1        3.98091e+01   1.04461e+00   1.26433e-03   1.34471e+00
-   3  sg_p2        1.12381e+00   6.43212e-02   4.26970e-04  -5.82935e-01
-   4  sg_p3        1.54010e+00   8.72084e-02   9.64222e-05  -5.94353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.221e-01  2.723e-01  2.914e-02 -1.973e-03 
-  2.723e-01  8.279e-01  4.043e-02  4.780e-02 
-  2.914e-02  4.043e-02  4.139e-03  2.068e-03 
- -1.973e-03  4.780e-02  2.068e-03  7.608e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59661   1.000  0.352  0.533 -0.027
-        2  0.79068   0.352  1.000  0.691  0.602
-        3  0.75807   0.533  0.691  1.000  0.369
-        4  0.65582  -0.027  0.602  0.369  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1012.85 +- 0.849657
-39.8091 +- 1.04461
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23239.4 FROM MIGRAD    STATUS=INITIATE       64 CALLS          65 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.27750e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   1.26948e-01
-   3  sg_p2        8.74738e-01   5.00000e-01   0.00000e+00   1.80702e+02
-   4  sg_p3        9.26595e-01   7.00000e-01  -8.26048e-01  -4.27618e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=0.00014251    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01577e+03   8.64818e-01   2.10463e-03   2.40523e-01
-   2  sg_p1        3.99999e+01   1.00303e+00   5.37328e-02  -1.94869e-02
-   3  sg_p2        1.13318e+00   5.62974e-02   2.39200e-03  -5.76330e-02
-   4  sg_p3        1.52247e+00   6.86424e-02   2.34430e-03   1.64373e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.481e-01 -1.096e-03  2.562e-02 -1.857e-02 
- -1.096e-03  4.530e-04 -1.315e-04 -8.807e-05 
-  2.562e-02 -1.315e-04  3.170e-03 -3.976e-04 
- -1.857e-02 -8.807e-05 -3.976e-04  4.713e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.58719   1.000 -0.060  0.526 -0.313
-        2  0.13360  -0.060  1.000 -0.110 -0.060
-        3  0.53513   0.526 -0.110  1.000 -0.103
-        4  0.32913  -0.313 -0.060 -0.103  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM HESSE     STATUS=OK             29 CALLS         267 TOTAL
-                     EDM=0.000133982    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01577e+03   8.73102e-01   4.20925e-04   2.20882e-02
-   2  sg_p1        3.99999e+01   1.01940e+00   2.14931e-03   1.56537e+00
-   3  sg_p2        1.13318e+00   5.62622e-02   9.56802e-05  -5.78450e-01
-   4  sg_p3        1.52247e+00   7.21948e-02   7.98704e-02  -6.00445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.625e-01  2.144e-04  2.611e-02 -2.173e-02 
-  2.144e-04  4.606e-04  2.659e-05  2.032e-05 
-  2.611e-02  2.659e-05  3.166e-03 -5.636e-04 
- -2.173e-02  2.032e-05 -5.636e-04  5.213e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59764   1.000  0.011  0.531 -0.345
-        2  0.02791   0.011  1.000  0.022  0.013
-        3  0.53363   0.531  0.022  1.000 -0.139
-        4  0.34900  -0.345  0.013 -0.139  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1015.77 +- 0.873102
-39.9999 +- 1.0194
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23904.2 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.58334e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -6.45414e+00
-   3  sg_p2        9.40575e-01   5.00000e-01   0.00000e+00   2.02619e+02
-   4  sg_p3        9.50207e-01   7.00000e-01  -8.16148e-01  -4.42963e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM MIGRAD    STATUS=CONVERGED     250 CALLS         251 TOTAL
-                     EDM=1.36548e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01639e+03   7.28586e-01   2.01823e-03  -1.76359e-02
-   2  sg_p1        4.00000e+01   7.49353e-01   4.69202e-02  -5.91552e-03
-   3  sg_p2        1.26989e+00   5.63661e-02   2.54093e-03   8.80770e-02
-   4  sg_p3        1.53945e+00   6.56083e-02   2.27702e-03  -7.24550e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.309e-01 -7.297e-05  1.348e-02 -1.019e-02 
- -7.297e-05  1.681e-05 -1.973e-05 -2.021e-05 
-  1.348e-02 -1.973e-05  3.178e-03  5.005e-04 
- -1.019e-02 -2.021e-05  5.005e-04  4.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41880   1.000 -0.024  0.328 -0.213
-        2  0.10777  -0.024  1.000 -0.085 -0.075
-        3  0.39425   0.328 -0.085  1.000  0.135
-        4  0.31076  -0.213 -0.075  0.135  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM HESSE     STATUS=OK             23 CALLS         274 TOTAL
-                     EDM=1.44816e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01639e+03   7.40109e-01   4.03646e-04   3.97032e-02
-   2  sg_p1        4.00000e+01   7.56384e-01   9.38403e-03   1.56958e+00
-   3  sg_p2        1.26989e+00   5.58118e-02   1.01637e-04  -5.14435e-01
-   4  sg_p3        1.53945e+00   6.43105e-02   9.10809e-05  -5.94577e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.478e-01 -1.128e-05  1.525e-02 -1.306e-02 
- -1.128e-05  1.697e-05 -2.641e-06 -2.503e-06 
-  1.525e-02 -2.641e-06  3.116e-03 -1.984e-04 
- -1.306e-02 -2.503e-06 -1.984e-04  4.137e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44819   1.000 -0.004  0.369 -0.274
-        2  0.01546  -0.004  1.000 -0.011 -0.009
-        3  0.37224   0.369 -0.011  1.000 -0.055
-        4  0.27895  -0.274 -0.009 -0.055  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.39 +- 0.740109
-40 +- 0.756384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16426.3 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   2.76971e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -7.40412e+01
-   3  sg_p2        7.53407e-01   5.00000e-01   0.00000e+00  -2.61313e+02
-   4  sg_p3        1.41708e+00   7.00000e-01  -6.37416e-01   3.61680e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.2739e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01657e+03   9.77555e-01   2.06312e-03  -3.61028e-03
-   2  sg_p1        4.00000e+01   6.78180e-01   3.73477e-02  -7.76696e-03
-   3  sg_p2        1.22238e+00   6.09231e-02   2.33024e-03  -3.84112e-02
-   4  sg_p3        1.49153e+00   9.35612e-02   2.57411e-03  -3.75876e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.559e-01  3.743e-05  2.152e-02 -4.133e-02 
-  3.743e-05  2.111e-05 -9.720e-06 -2.510e-05 
-  2.152e-02 -9.720e-06  3.713e-03 -6.103e-04 
- -4.133e-02 -2.510e-05 -6.103e-04  8.757e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55051   1.000  0.008  0.361 -0.452
-        2  0.07170   0.008  1.000 -0.035 -0.058
-        3  0.36817   0.361 -0.035  1.000 -0.107
-        4  0.45868  -0.452 -0.058 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM HESSE     STATUS=OK             23 CALLS         228 TOTAL
-                     EDM=1.33694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01657e+03   9.74476e-01   4.12624e-04   4.48931e-02
-   2  sg_p1        4.00000e+01   6.79952e-01   7.46954e-03   1.56937e+00
-   3  sg_p2        1.22238e+00   6.06205e-02   9.32097e-05  -5.36402e-01
-   4  sg_p3        1.49153e+00   9.34142e-02   1.02965e-04  -6.11196e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.499e-01  5.447e-06  2.083e-02 -4.116e-02 
-  5.447e-06  2.117e-05 -1.283e-06 -3.388e-06 
-  2.083e-02 -1.283e-06  3.676e-03 -5.904e-04 
- -4.116e-02 -3.388e-06 -5.904e-04  8.729e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54649   1.000  0.001  0.353 -0.452
-        2  0.00962   0.001  1.000 -0.005 -0.008
-        3  0.35791   0.353 -0.005  1.000 -0.104
-        4  0.45594  -0.452 -0.008 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.57 +- 0.974476
-40 +- 0.679952
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33287.9 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   3.29127e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -2.09458e+02
-   3  sg_p2        8.91728e-01   5.00000e-01   0.00000e+00   7.37516e+01
-   4  sg_p3        1.41601e+00   7.00000e-01  -6.37796e-01   6.89934e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=5.9663e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01659e+03   6.86602e-01   2.06298e-03   6.23454e-02
-   2  sg_p1        4.00000e+01   3.36413e-01   3.74809e-02** at limit **
-   3  sg_p2        1.22194e+00   4.27738e-02   2.32926e-03  -6.40806e-02
-   4  sg_p3        1.49222e+00   6.57997e-02   2.57024e-03  -1.52134e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.715e-01  8.305e-06  1.061e-02 -2.041e-02 
-  8.305e-06  1.928e-06 -2.165e-06 -5.598e-06 
-  1.061e-02 -2.165e-06  1.830e-03 -3.008e-04 
- -2.041e-02 -5.598e-06 -3.008e-04  4.330e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55055   1.000  0.009  0.361 -0.452
-        2  0.07527   0.009  1.000 -0.036 -0.061
-        3  0.36846   0.361 -0.036  1.000 -0.107
-        4  0.45894  -0.452 -0.061 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=6.1799e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01659e+03   6.84411e-01   4.12596e-04   4.54194e-02
-   2  sg_p1        4.00000e+01   3.37160e-01   7.49617e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22194e+00   4.25566e-02   9.31704e-05  -5.36608e-01
-   4  sg_p3        1.49222e+00   6.56863e-02   1.02809e-04  -6.10958e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.685e-01  1.563e-06  1.027e-02 -2.032e-02 
-  1.563e-06  1.932e-06 -3.692e-07 -9.768e-07 
-  1.027e-02 -3.692e-07  1.811e-03 -2.913e-04 
- -2.032e-02 -9.768e-07 -2.913e-04  4.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54648   1.000  0.002  0.353 -0.452
-        2  0.01305   0.002  1.000 -0.006 -0.011
-        3  0.35799   0.353 -0.006  1.000 -0.104
-        4  0.45593  -0.452 -0.011 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.59 +- 0.684411
-40 +- 0.33716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 1016.58 +- 0.810249 (stat) - 3.72609 + 1.73193 (syst); -3.74805/+1.77868 (total)
-   Uncertainty on sg_p1 = 40 +- 0.469104 (stat) - 0.190863 + 0 (syst); -0.302396/+0.234552 (total)
-   Uncertainty on sg_p2 = 1.2224 +- 0.0504194 (stat) - 0.0985888 + 0.0474949 (syst); -0.101761/+0.0537708 (total)
-   Uncertainty on sg_p3 = 1.49206 +- 0.0777461 (stat) - 0.0275125 + 0.0480377 (syst); -0.0476241/+0.0617959 (total)
-   === Baseline plot === </br>
-   norm = 330.727
-JEC     lnN   1.01006  -
-JER     lnN   1.0152  -
-btag    lnN   1.35523  -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt
deleted file mode 100644
index 8988606..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  2.47576 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06518    -
-JER       lnN     1.01484   - 
-JEC       lnN     1.02905   -
-trigger   lnN     1.10    -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_crystal_1_550_1200/signal550_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_crystal_1_550_1200/signal550_sig.log
deleted file mode 100644
index 95176bb..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_crystal_1_550_1200/signal550_sig.log
+++ /dev/null
@@ -1,949 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   8.36856e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -2.13036e+02
-   3  sg_p2        9.96389e-01   5.00000e-01   0.00000e+00  -2.10001e+01
-   4  sg_p3        1.33793e+00   7.00000e-01  -6.65859e-01   1.43037e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05392 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM MIGRAD    STATUS=CONVERGED     433 CALLS         434 TOTAL
-                     EDM=1.19101e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.41842e+02   5.12497e-01   1.51068e-03   3.12657e-02
-   2  sg_p1        2.95617e+01   3.82692e-01   3.23918e-03   3.18610e-03
-   3  sg_p2        2.26823e+00   2.06532e-01   7.22656e-03  -7.81355e-04
-   4  sg_p3        3.13392e+00   1.77814e+00   6.15202e-02  -1.76290e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.627e-01  2.925e-03  9.483e-03 -3.748e-10 
-  2.925e-03  1.465e-01  1.367e-02 -4.881e-11 
-  9.483e-03  1.367e-02  4.275e-02 -1.530e-10 
- -3.748e-10 -4.881e-11 -1.530e-10  3.483e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08948   1.000  0.015  0.089 -0.000
-        2  0.17277   0.015  1.000  0.173 -0.000
-        3  0.19340   0.089  0.173  1.000 -0.000
-        4  0.00000  -0.000 -0.000 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM HESSE     STATUS=OK             29 CALLS         463 TOTAL
-                     EDM=3.87994e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.41842e+02   5.12297e-01   3.02136e-04   6.14367e-02
-   2  sg_p1        2.95617e+01   3.82068e-01   1.29567e-04   6.00358e-01
-   3  sg_p2        2.26823e+00   2.05837e-01   2.89062e-04  -9.28432e-02
-   4  sg_p3        3.13392e+00   6.62343e-01   3.58606e-01  -1.04787e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.625e-01  2.466e-03  8.976e-03  1.615e-11 
-  2.466e-03  1.460e-01  1.286e-02  2.313e-11 
-  8.976e-03  1.286e-02  4.247e-02  7.639e-11 
-  1.615e-11  2.313e-11  7.639e-11  4.441e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08503   1.000  0.013  0.085  0.000
-        2  0.16331   0.013  1.000  0.163  0.000
-        3  0.18317   0.085  0.163  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-541.842 +- 0.512297
-29.5617 +- 0.382068
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16779.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00  -8.37041e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.07475e+02
-   3  sg_p2        8.65799e-01   5.00000e-01   0.00000e+00  -7.40551e+01
-   4  sg_p3        1.35564e+00   7.00000e-01  -6.59439e-01   6.28488e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             27 CALLS         282 TOTAL
-                     EDM=0.102246    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44552e+02   5.08282e-01   1.52398e-03  -1.54852e-01
-   2  sg_p1        2.95922e+01   3.76777e-01   3.22494e-03  -3.69769e-02
-   3  sg_p2        2.45278e+00   3.27164e-01   1.16491e-02   1.26745e-02
-   4  sg_p3        3.35460e+00   1.18039e+00   3.11390e-01  -1.31335e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16685.9 FROM MIGRAD    STATUS=CONVERGED     295 CALLS         296 TOTAL
-                     EDM=2.81269e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44554e+02   5.08278e-01   4.34002e-05  -1.50856e-04
-   2  sg_p1        2.95926e+01   3.76767e-01   4.09576e-05  -4.62961e-04
-   3  sg_p2        2.45238e+00   3.27162e-01  -1.58660e-04  -1.77907e-03
-   4  sg_p3        3.89863e+00   1.17372e+00   1.55695e-01   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.584e-01  3.013e-03  1.443e-02  3.104e-05 
-  3.013e-03  1.420e-01  2.058e-02  5.573e-05 
-  1.443e-02  2.058e-02  1.077e-01  2.055e-04 
-  3.104e-05  5.573e-05  2.055e-04  1.433e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08655   1.000  0.016  0.087  0.000
-        2  0.16643   0.016  1.000  0.166  0.000
-        3  0.18640   0.087  0.166  1.000  0.001
-        4  0.00052   0.000  0.000  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             31 CALLS         327 TOTAL
-                     EDM=0.378043    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.44554e+02   5.08418e-01   1.52334e-03   1.52374e-01
-   2  sg_p1        2.95926e+01   3.77155e-01   1.28998e-03   6.03355e-01
-   3  sg_p2        2.45238e+00   3.27373e-01   4.65962e-03  -1.90491e-02
-   4  sg_p3        3.89863e+00   1.40113e+00   5.10000e-01   1.14141e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.585e-01  3.222e-03  1.491e-02  4.426e-12 
-  3.222e-03  1.423e-01  2.127e-02 -3.793e-11 
-  1.491e-02  2.127e-02  1.078e-01  3.265e-11 
-  4.426e-12 -3.793e-11  3.265e-11  2.080e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08933   1.000  0.017  0.089  0.000
-        2  0.17177   0.017  1.000  0.172 -0.000
-        3  0.19229   0.089  0.172  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-544.554 +- 0.508418
-29.5926 +- 0.377155
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15773.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   1.21147e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.80759e+02
-   3  sg_p2        1.10607e+00   5.00000e-01   0.00000e+00  -3.61854e+01
-   4  sg_p3        1.15878e+00   7.00000e-01  -7.32755e-01   8.10605e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.37034 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM MIGRAD    STATUS=CONVERGED     357 CALLS         358 TOTAL
-                     EDM=1.29397e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.39647e+02   5.17185e-01   1.48655e-03  -1.89345e-02
-   2  sg_p1        2.91881e+01   3.85671e-01   3.11579e-03   3.89872e-03
-   3  sg_p2        2.31906e+00   2.28533e-01   7.79945e-03  -3.76001e-04
-   4  sg_p3        3.12530e+00   1.84829e+00   8.28757e-02  -7.72724e-05
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.675e-01  1.706e-03  1.012e-02  1.242e-12 
-  1.706e-03  1.488e-01  1.489e-02  1.083e-10 
-  1.012e-02  1.489e-02  5.237e-02  1.084e-11 
-  1.242e-12  1.083e-10  1.084e-11  3.797e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08574   1.000  0.009  0.086  0.000
-        2  0.16875   0.009  1.000  0.169  0.000
-        3  0.18845   0.086  0.169  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM HESSE     STATUS=OK             27 CALLS         385 TOTAL
-                     EDM=0.802787    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.39647e+02   5.17333e-01   2.97309e-04  -1.17805e-02
-   2  sg_p1        2.91881e+01   3.86088e-01   1.24632e-04   5.64568e-01
-   3  sg_p2        2.31906e+00   2.28870e-01   3.11978e-04  -7.24379e-02
-   4  sg_p3        3.12530e+00   7.00822e-01   3.63374e-01  -1.07263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.677e-01  1.770e-03  1.052e-02  3.022e-11 
-  1.770e-03  1.491e-01  1.546e-02 -6.678e-11 
-  1.052e-02  1.546e-02  5.253e-02  4.080e-11 
-  3.022e-11 -6.678e-11  4.080e-11  4.979e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08899   1.000  0.009  0.089  0.000
-        2  0.17483   0.009  1.000  0.175 -0.000
-        3  0.19525   0.089  0.175  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-539.647 +- 0.517333
-29.1881 +- 0.386088
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14837.3 FROM MIGRAD    STATUS=INITIATE       51 CALLS          52 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.62915e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.92186e+02
-   3  sg_p2        1.33485e+00   5.00000e-01   0.00000e+00   1.12519e+02
-   4  sg_p3        1.63806e+00   7.00000e-01  -5.60940e-01   1.42255e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM MIGRAD    STATUS=CONVERGED     175 CALLS         176 TOTAL
-                     EDM=1.79394e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57153e+02   3.21384e-01   1.00803e-03  -2.87826e-01
-   2  sg_p1        1.59907e+01   2.94249e-01   1.95331e-03  -7.46933e-02
-   3  sg_p2        1.40719e+00   6.63431e-02   1.98696e-03   1.23037e-01
-   4  sg_p3        1.40947e+00   6.04329e-02   1.61506e-03   3.47616e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.033e-01  1.010e-02  6.404e-03 -2.894e-03 
-  1.010e-02  8.661e-02  1.063e-02  7.128e-03 
-  6.404e-03  1.063e-02  4.403e-03  8.132e-04 
- -2.894e-03  7.128e-03  8.132e-04  3.653e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36907   1.000  0.107  0.300 -0.149
-        2  0.62006   0.107  1.000  0.545  0.401
-        3  0.59757   0.300  0.545  1.000  0.203
-        4  0.44647  -0.149  0.401  0.203  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM HESSE     STATUS=OK             23 CALLS         199 TOTAL
-                     EDM=1.79239e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57153e+02   3.21538e-01   2.01606e-04   8.62318e-02
-   2  sg_p1        1.59907e+01   2.94927e-01   3.90662e-04   9.92360e-02
-   3  sg_p2        1.40719e+00   6.64804e-02   7.94782e-05  -4.52397e-01
-   4  sg_p3        1.40947e+00   6.05049e-02   6.46026e-05  -6.40123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.034e-01  1.015e-02  6.439e-03 -2.895e-03 
-  1.015e-02  8.701e-02  1.072e-02  7.193e-03 
-  6.439e-03  1.072e-02  4.421e-03  8.247e-04 
- -2.895e-03  7.193e-03  8.247e-04  3.661e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37018   1.000  0.107  0.301 -0.149
-        2  0.62233   0.107  1.000  0.547  0.403
-        3  0.59978   0.301  0.547  1.000  0.205
-        4  0.44859  -0.149  0.403  0.205  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.153 +- 0.321538
-15.9907 +- 0.294927
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.5 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -4.27508e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00   5.60673e+01
-   3  sg_p2        9.57872e-01   5.00000e-01   0.00000e+00  -1.96076e+02
-   4  sg_p3        1.43385e+00   7.00000e-01  -6.31466e-01   3.52996e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM MIGRAD    STATUS=CONVERGED     145 CALLS         146 TOTAL
-                     EDM=1.59039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58875e+02   3.28831e-01   1.01097e-03   2.51867e-01
-   2  sg_p1        1.50106e+01   3.27326e-01   1.94006e-03  -7.48907e-02
-   3  sg_p2        1.28146e+00   5.35843e-02   1.64296e-03  -7.25386e-02
-   4  sg_p3        1.13283e+00   5.00773e-02   1.24085e-03   1.93411e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.081e-01 -1.435e-02  2.668e-03 -5.685e-03 
- -1.435e-02  1.072e-01  9.872e-03  9.778e-03 
-  2.668e-03  9.872e-03  2.872e-03  8.529e-04 
- -5.685e-03  9.778e-03  8.529e-04  2.508e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44454   1.000 -0.133  0.151 -0.345
-        2  0.71564  -0.133  1.000  0.563  0.596
-        3  0.61000   0.151  0.563  1.000  0.318
-        4  0.65614  -0.345  0.596  0.318  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM HESSE     STATUS=OK             23 CALLS         169 TOTAL
-                     EDM=1.59031e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58875e+02   3.28953e-01   2.02195e-04   1.55611e-01
-   2  sg_p1        1.50106e+01   3.28179e-01   3.88013e-04   1.06416e-03
-   3  sg_p2        1.28146e+00   5.36907e-02   6.57184e-05  -5.09126e-01
-   4  sg_p3        1.13283e+00   5.01651e-02   2.48171e-04  -7.42776e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.082e-01 -1.448e-02  2.668e-03 -5.699e-03 
- -1.448e-02  1.077e-01  9.953e-03  9.852e-03 
-  2.668e-03  9.953e-03  2.883e-03  8.627e-04 
- -5.699e-03  9.852e-03  8.627e-04  2.517e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44521   1.000 -0.134  0.151 -0.345
-        2  0.71741  -0.134  1.000  0.565  0.598
-        3  0.61203   0.151  0.565  1.000  0.320
-        4  0.65766  -0.345  0.598  0.320  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.875 +- 0.328953
-15.0106 +- 0.328179
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14133.8 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.22550e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -8.95889e+01
-   3  sg_p2        1.26916e+00   5.00000e-01   0.00000e+00   3.67893e+01
-   4  sg_p3        1.35775e+00   7.00000e-01  -6.58678e-01  -5.62243e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM MIGRAD    STATUS=CONVERGED     210 CALLS         211 TOTAL
-                     EDM=0.000238073    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.56327e+02   3.14482e-01   9.83418e-04   8.55741e-01
-   2  sg_p1        1.57284e+01   2.76951e-01   1.90229e-03  -1.45089e-01
-   3  sg_p2        1.38542e+00   5.70093e-02   1.81418e-03   3.93447e-01
-   4  sg_p3        1.37775e+00   5.81896e-02   1.54738e-03   1.23982e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.890e-02  1.894e-03  3.842e-03 -3.325e-03 
-  1.894e-03  7.672e-02  7.163e-03  6.201e-03 
-  3.842e-03  7.163e-03  3.251e-03  5.637e-04 
- -3.325e-03  6.201e-03  5.637e-04  3.387e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30810   1.000  0.022  0.214 -0.182
-        2  0.55065   0.022  1.000  0.454  0.385
-        3  0.49896   0.214  0.454  1.000  0.170
-        4  0.43088  -0.182  0.385  0.170  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM HESSE     STATUS=OK             23 CALLS         234 TOTAL
-                     EDM=0.000238571    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.56327e+02   3.14566e-01   1.96684e-04   5.31070e-02
-   2  sg_p1        1.57284e+01   2.77362e-01   3.80459e-04   7.29003e-02
-   3  sg_p2        1.38542e+00   5.70763e-02   3.62837e-04  -4.62101e-01
-   4  sg_p3        1.37775e+00   5.82399e-02   3.09477e-04  -6.51471e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.896e-02  1.863e-03  3.856e-03 -3.331e-03 
-  1.863e-03  7.695e-02  7.208e-03  6.244e-03 
-  3.856e-03  7.208e-03  3.258e-03  5.699e-04 
- -3.331e-03  6.244e-03  5.699e-04  3.392e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30889   1.000  0.021  0.215 -0.182
-        2  0.55252   0.021  1.000  0.455  0.386
-        3  0.50072   0.215  0.455  1.000  0.171
-        4  0.43251  -0.182  0.386  0.171  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-556.327 +- 0.314566
-15.7284 +- 0.277362
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14534.5 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.04994e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.14427e+02
-   3  sg_p2        1.18464e+00   5.00000e-01   0.00000e+00   9.96830e+01
-   4  sg_p3        1.38937e+00   7.00000e-01  -6.47305e-01   1.30603e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM MIGRAD    STATUS=CONVERGED     185 CALLS         186 TOTAL
-                     EDM=5.50119e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58137e+02   3.32100e-01   9.95556e-04   1.68841e-01
-   2  sg_p1        1.48812e+01   3.22440e-01   1.91611e-03   3.95624e-02
-   3  sg_p2        1.27842e+00   5.09588e-02   1.60067e-03  -7.54823e-02
-   4  sg_p3        1.11410e+00   4.98337e-02   1.21814e-03   6.18485e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.103e-01 -2.020e-02  1.794e-03 -6.256e-03 
- -2.020e-02  1.040e-01  8.614e-03  9.577e-03 
-  1.794e-03  8.614e-03  2.597e-03  7.646e-04 
- -6.256e-03  9.577e-03  7.646e-04  2.484e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44749   1.000 -0.189  0.106 -0.378
-        2  0.69890  -0.189  1.000  0.524  0.596
-        3  0.56724   0.106  0.524  1.000  0.301
-        4  0.65666  -0.378  0.596  0.301  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM HESSE     STATUS=OK             23 CALLS         209 TOTAL
-                     EDM=5.49735e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58137e+02   3.32253e-01   1.99111e-04   1.25809e-01
-   2  sg_p1        1.48812e+01   3.23301e-01   7.66446e-05  -1.18793e-02
-   3  sg_p2        1.27842e+00   5.10516e-02   6.40269e-05  -5.10521e-01
-   4  sg_p3        1.11410e+00   4.99281e-02   4.87255e-05  -7.50065e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.104e-01 -2.039e-02  1.786e-03 -6.279e-03 
- -2.039e-02  1.046e-01  8.688e-03  9.654e-03 
-  1.786e-03  8.688e-03  2.607e-03  7.739e-04 
- -6.279e-03  9.654e-03  7.739e-04  2.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44831   1.000 -0.190  0.105 -0.378
-        2  0.70084  -0.190  1.000  0.526  0.598
-        3  0.56941   0.105  0.526  1.000  0.304
-        4  0.65830  -0.378  0.598  0.304  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.137 +- 0.332253
-14.8812 +- 0.323301
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14860.1 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.96476e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.39102e+02
-   3  sg_p2        1.31219e+00   5.00000e-01   0.00000e+00   8.51723e+01
-   4  sg_p3        1.40309e+00   7.00000e-01  -6.42399e-01  -3.16309e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=2.32867e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57839e+02   3.16310e-01   9.64235e-04  -9.53938e-03
-   2  sg_p1        1.45911e+01   3.04213e-01   1.85567e-03  -1.11765e-02
-   3  sg_p2        1.30884e+00   5.20626e-02   1.65224e-03   2.13112e-02
-   4  sg_p3        1.13165e+00   4.90247e-02   1.22393e-03   1.25630e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.679e-02  1.892e-03 -5.645e-03 
- -1.679e-02  9.257e-02  8.162e-03  8.712e-03 
-  1.892e-03  8.162e-03  2.711e-03  7.376e-04 
- -5.645e-03  8.712e-03  7.376e-04  2.404e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43494   1.000 -0.174  0.115 -0.364
-        2  0.68887  -0.174  1.000  0.515  0.584
-        3  0.55849   0.115  0.515  1.000  0.289
-        4  0.64393  -0.364  0.584  0.289  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM HESSE     STATUS=OK             23 CALLS         230 TOTAL
-                     EDM=2.3344e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57839e+02   3.16455e-01   3.85694e-05   1.13812e-01
-   2  sg_p1        1.45911e+01   3.05011e-01   7.42270e-05  -4.09030e-02
-   3  sg_p2        1.30884e+00   5.21549e-02   6.60897e-05  -4.96630e-01
-   4  sg_p3        1.13165e+00   4.91147e-02   4.89571e-05  -7.43231e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.696e-02  1.886e-03 -5.665e-03 
- -1.696e-02  9.306e-02  8.232e-03  8.781e-03 
-  1.886e-03  8.232e-03  2.721e-03  7.467e-04 
- -5.665e-03  8.781e-03  7.467e-04  2.413e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43580   1.000 -0.176  0.114 -0.364
-        2  0.69086  -0.176  1.000  0.517  0.586
-        3  0.56066   0.114  0.517  1.000  0.291
-        4  0.64559  -0.364  0.586  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.839 +- 0.316455
-14.5911 +- 0.305011
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13882.6 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.85565e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -4.99994e+01
-   3  sg_p2        1.14901e+00   5.00000e-01  -8.51477e-02   2.28635e+00
-   4  sg_p3        1.41391e+00   7.00000e-01   0.00000e+00   1.79604e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=1.65564e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57980e+02   3.34363e-01   9.81953e-04   6.44675e-02
-   2  sg_p1        1.47979e+01   3.20681e-01   1.89110e-03   8.04335e-02
-   3  sg_p2        1.31085e+00   5.36609e-02   1.65482e-03  -1.47147e-01
-   4  sg_p3        1.12068e+00   5.06777e-02   1.22086e-03   1.27989e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.118e-01 -2.084e-02  1.817e-03 -6.408e-03 
- -2.084e-02  1.029e-01  8.748e-03  9.557e-03 
-  1.817e-03  8.748e-03  2.880e-03  7.828e-04 
- -6.408e-03  9.557e-03  7.828e-04  2.569e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44246   1.000 -0.194  0.101 -0.378
-        2  0.68849  -0.194  1.000  0.508  0.588
-        3  0.55062   0.101  0.508  1.000  0.288
-        4  0.64866  -0.378  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=1.65875e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57980e+02   3.34499e-01   1.96391e-04   1.19503e-01
-   2  sg_p1        1.47979e+01   3.21384e-01   3.78219e-04  -2.02134e-02
-   3  sg_p2        1.31085e+00   5.37405e-02   3.30963e-04  -4.95716e-01
-   4  sg_p3        1.12068e+00   5.07549e-02   2.44171e-04  -7.47499e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.119e-01 -2.101e-02  1.811e-03 -6.428e-03 
- -2.101e-02  1.033e-01  8.812e-03  9.620e-03 
-  1.811e-03  8.812e-03  2.889e-03  7.908e-04 
- -6.428e-03  9.620e-03  7.908e-04  2.576e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44320   1.000 -0.195  0.101 -0.379
-        2  0.69016  -0.195  1.000  0.510  0.590
-        3  0.55249   0.101  0.510  1.000  0.290
-        4  0.65002  -0.379  0.590  0.290  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.98 +- 0.334499
-14.7979 +- 0.321384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15819.8 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.00618e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.06424e+02
-   3  sg_p2        1.24250e+00   5.00000e-01   0.00000e+00   8.72112e+01
-   4  sg_p3        1.58707e+00   7.00000e-01  -5.78240e-01   1.36356e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=3.72733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57991e+02   3.13470e-01   9.81807e-04   1.43269e-02
-   2  sg_p1        1.48025e+01   3.00871e-01   1.88933e-03   1.01623e-01
-   3  sg_p2        1.30793e+00   5.01308e-02   1.66000e-03  -7.41075e-02
-   4  sg_p3        1.12096e+00   4.75155e-02   1.22457e-03  -3.73256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.827e-02 -1.818e-02  1.608e-03 -5.619e-03 
- -1.818e-02  9.055e-02  7.685e-03  8.406e-03 
-  1.608e-03  7.685e-03  2.514e-03  6.873e-04 
- -5.619e-03  8.406e-03  6.873e-04  2.258e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44218   1.000 -0.193  0.102 -0.377
-        2  0.68889  -0.193  1.000  0.509  0.588
-        3  0.55187   0.102  0.509  1.000  0.288
-        4  0.64863  -0.377  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=3.72671e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57991e+02   3.13600e-01   1.96361e-04   1.19946e-01
-   2  sg_p1        1.48025e+01   3.01553e-01   3.77865e-04  -1.97513e-02
-   3  sg_p2        1.30793e+00   5.02105e-02   6.64000e-05  -4.97043e-01
-   4  sg_p3        1.12096e+00   4.75893e-02   2.44915e-04  -7.47388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.835e-02 -1.832e-02  1.604e-03 -5.636e-03 
- -1.832e-02  9.096e-02  7.744e-03  8.463e-03 
-  1.604e-03  7.744e-03  2.522e-03  6.946e-04 
- -5.636e-03  8.463e-03  6.946e-04  2.265e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44293   1.000 -0.194  0.102 -0.378
-        2  0.69061  -0.194  1.000  0.511  0.590
-        3  0.55387   0.102  0.511  1.000  0.291
-        4  0.65001  -0.378  0.590  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.991 +- 0.3136
-14.8025 +- 0.301553
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 557.153 +- 0.321538 (stat) - 0.826073 + 1.72147 (syst); -0.841572/+1.72896 (total)
-   Uncertainty on sg_p1 = 15.9907 +- 0.294927 (stat) - 1.39965 + 0 (syst); -1.40739/+0.147463 (total)
-   Uncertainty on sg_p2 = 1.40719 +- 0.0664804 (stat) - 0.128774 + 0 (syst); -0.132995/+0.0332402 (total)
-   Uncertainty on sg_p3 = 1.40947 +- 0.0605049 (stat) - 0.295372 + 0 (syst); -0.296917/+0.0302524 (total)
-   === Baseline plot === </br>
-   norm = 123.788
-JEC     lnN   1.02905  -
-JER     lnN   1.01484  -
-btag    lnN   1.06518  -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
deleted file mode 100644
index 1c00fc4..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  2.47576 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06518    -
-JER       lnN     1.01484   - 
-JEC       lnN     1.02905   -
-trigger   lnN     1.10    -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_novo_550_1200/signal550_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_novo_550_1200/signal550_sig.log
deleted file mode 100644
index 95176bb..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_550_novo_550_1200/signal550_sig.log
+++ /dev/null
@@ -1,949 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   8.36856e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -2.13036e+02
-   3  sg_p2        9.96389e-01   5.00000e-01   0.00000e+00  -2.10001e+01
-   4  sg_p3        1.33793e+00   7.00000e-01  -6.65859e-01   1.43037e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05392 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM MIGRAD    STATUS=CONVERGED     433 CALLS         434 TOTAL
-                     EDM=1.19101e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.41842e+02   5.12497e-01   1.51068e-03   3.12657e-02
-   2  sg_p1        2.95617e+01   3.82692e-01   3.23918e-03   3.18610e-03
-   3  sg_p2        2.26823e+00   2.06532e-01   7.22656e-03  -7.81355e-04
-   4  sg_p3        3.13392e+00   1.77814e+00   6.15202e-02  -1.76290e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.627e-01  2.925e-03  9.483e-03 -3.748e-10 
-  2.925e-03  1.465e-01  1.367e-02 -4.881e-11 
-  9.483e-03  1.367e-02  4.275e-02 -1.530e-10 
- -3.748e-10 -4.881e-11 -1.530e-10  3.483e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08948   1.000  0.015  0.089 -0.000
-        2  0.17277   0.015  1.000  0.173 -0.000
-        3  0.19340   0.089  0.173  1.000 -0.000
-        4  0.00000  -0.000 -0.000 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM HESSE     STATUS=OK             29 CALLS         463 TOTAL
-                     EDM=3.87994e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.41842e+02   5.12297e-01   3.02136e-04   6.14367e-02
-   2  sg_p1        2.95617e+01   3.82068e-01   1.29567e-04   6.00358e-01
-   3  sg_p2        2.26823e+00   2.05837e-01   2.89062e-04  -9.28432e-02
-   4  sg_p3        3.13392e+00   6.62343e-01   3.58606e-01  -1.04787e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.625e-01  2.466e-03  8.976e-03  1.615e-11 
-  2.466e-03  1.460e-01  1.286e-02  2.313e-11 
-  8.976e-03  1.286e-02  4.247e-02  7.639e-11 
-  1.615e-11  2.313e-11  7.639e-11  4.441e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08503   1.000  0.013  0.085  0.000
-        2  0.16331   0.013  1.000  0.163  0.000
-        3  0.18317   0.085  0.163  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-541.842 +- 0.512297
-29.5617 +- 0.382068
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16779.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00  -8.37041e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.07475e+02
-   3  sg_p2        8.65799e-01   5.00000e-01   0.00000e+00  -7.40551e+01
-   4  sg_p3        1.35564e+00   7.00000e-01  -6.59439e-01   6.28488e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             27 CALLS         282 TOTAL
-                     EDM=0.102246    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44552e+02   5.08282e-01   1.52398e-03  -1.54852e-01
-   2  sg_p1        2.95922e+01   3.76777e-01   3.22494e-03  -3.69769e-02
-   3  sg_p2        2.45278e+00   3.27164e-01   1.16491e-02   1.26745e-02
-   4  sg_p3        3.35460e+00   1.18039e+00   3.11390e-01  -1.31335e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16685.9 FROM MIGRAD    STATUS=CONVERGED     295 CALLS         296 TOTAL
-                     EDM=2.81269e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44554e+02   5.08278e-01   4.34002e-05  -1.50856e-04
-   2  sg_p1        2.95926e+01   3.76767e-01   4.09576e-05  -4.62961e-04
-   3  sg_p2        2.45238e+00   3.27162e-01  -1.58660e-04  -1.77907e-03
-   4  sg_p3        3.89863e+00   1.17372e+00   1.55695e-01   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.584e-01  3.013e-03  1.443e-02  3.104e-05 
-  3.013e-03  1.420e-01  2.058e-02  5.573e-05 
-  1.443e-02  2.058e-02  1.077e-01  2.055e-04 
-  3.104e-05  5.573e-05  2.055e-04  1.433e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08655   1.000  0.016  0.087  0.000
-        2  0.16643   0.016  1.000  0.166  0.000
-        3  0.18640   0.087  0.166  1.000  0.001
-        4  0.00052   0.000  0.000  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             31 CALLS         327 TOTAL
-                     EDM=0.378043    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.44554e+02   5.08418e-01   1.52334e-03   1.52374e-01
-   2  sg_p1        2.95926e+01   3.77155e-01   1.28998e-03   6.03355e-01
-   3  sg_p2        2.45238e+00   3.27373e-01   4.65962e-03  -1.90491e-02
-   4  sg_p3        3.89863e+00   1.40113e+00   5.10000e-01   1.14141e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.585e-01  3.222e-03  1.491e-02  4.426e-12 
-  3.222e-03  1.423e-01  2.127e-02 -3.793e-11 
-  1.491e-02  2.127e-02  1.078e-01  3.265e-11 
-  4.426e-12 -3.793e-11  3.265e-11  2.080e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08933   1.000  0.017  0.089  0.000
-        2  0.17177   0.017  1.000  0.172 -0.000
-        3  0.19229   0.089  0.172  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-544.554 +- 0.508418
-29.5926 +- 0.377155
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15773.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   1.21147e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.80759e+02
-   3  sg_p2        1.10607e+00   5.00000e-01   0.00000e+00  -3.61854e+01
-   4  sg_p3        1.15878e+00   7.00000e-01  -7.32755e-01   8.10605e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.37034 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM MIGRAD    STATUS=CONVERGED     357 CALLS         358 TOTAL
-                     EDM=1.29397e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.39647e+02   5.17185e-01   1.48655e-03  -1.89345e-02
-   2  sg_p1        2.91881e+01   3.85671e-01   3.11579e-03   3.89872e-03
-   3  sg_p2        2.31906e+00   2.28533e-01   7.79945e-03  -3.76001e-04
-   4  sg_p3        3.12530e+00   1.84829e+00   8.28757e-02  -7.72724e-05
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.675e-01  1.706e-03  1.012e-02  1.242e-12 
-  1.706e-03  1.488e-01  1.489e-02  1.083e-10 
-  1.012e-02  1.489e-02  5.237e-02  1.084e-11 
-  1.242e-12  1.083e-10  1.084e-11  3.797e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08574   1.000  0.009  0.086  0.000
-        2  0.16875   0.009  1.000  0.169  0.000
-        3  0.18845   0.086  0.169  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM HESSE     STATUS=OK             27 CALLS         385 TOTAL
-                     EDM=0.802787    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.39647e+02   5.17333e-01   2.97309e-04  -1.17805e-02
-   2  sg_p1        2.91881e+01   3.86088e-01   1.24632e-04   5.64568e-01
-   3  sg_p2        2.31906e+00   2.28870e-01   3.11978e-04  -7.24379e-02
-   4  sg_p3        3.12530e+00   7.00822e-01   3.63374e-01  -1.07263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.677e-01  1.770e-03  1.052e-02  3.022e-11 
-  1.770e-03  1.491e-01  1.546e-02 -6.678e-11 
-  1.052e-02  1.546e-02  5.253e-02  4.080e-11 
-  3.022e-11 -6.678e-11  4.080e-11  4.979e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08899   1.000  0.009  0.089  0.000
-        2  0.17483   0.009  1.000  0.175 -0.000
-        3  0.19525   0.089  0.175  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-539.647 +- 0.517333
-29.1881 +- 0.386088
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14837.3 FROM MIGRAD    STATUS=INITIATE       51 CALLS          52 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.62915e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.92186e+02
-   3  sg_p2        1.33485e+00   5.00000e-01   0.00000e+00   1.12519e+02
-   4  sg_p3        1.63806e+00   7.00000e-01  -5.60940e-01   1.42255e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM MIGRAD    STATUS=CONVERGED     175 CALLS         176 TOTAL
-                     EDM=1.79394e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57153e+02   3.21384e-01   1.00803e-03  -2.87826e-01
-   2  sg_p1        1.59907e+01   2.94249e-01   1.95331e-03  -7.46933e-02
-   3  sg_p2        1.40719e+00   6.63431e-02   1.98696e-03   1.23037e-01
-   4  sg_p3        1.40947e+00   6.04329e-02   1.61506e-03   3.47616e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.033e-01  1.010e-02  6.404e-03 -2.894e-03 
-  1.010e-02  8.661e-02  1.063e-02  7.128e-03 
-  6.404e-03  1.063e-02  4.403e-03  8.132e-04 
- -2.894e-03  7.128e-03  8.132e-04  3.653e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36907   1.000  0.107  0.300 -0.149
-        2  0.62006   0.107  1.000  0.545  0.401
-        3  0.59757   0.300  0.545  1.000  0.203
-        4  0.44647  -0.149  0.401  0.203  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM HESSE     STATUS=OK             23 CALLS         199 TOTAL
-                     EDM=1.79239e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57153e+02   3.21538e-01   2.01606e-04   8.62318e-02
-   2  sg_p1        1.59907e+01   2.94927e-01   3.90662e-04   9.92360e-02
-   3  sg_p2        1.40719e+00   6.64804e-02   7.94782e-05  -4.52397e-01
-   4  sg_p3        1.40947e+00   6.05049e-02   6.46026e-05  -6.40123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.034e-01  1.015e-02  6.439e-03 -2.895e-03 
-  1.015e-02  8.701e-02  1.072e-02  7.193e-03 
-  6.439e-03  1.072e-02  4.421e-03  8.247e-04 
- -2.895e-03  7.193e-03  8.247e-04  3.661e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37018   1.000  0.107  0.301 -0.149
-        2  0.62233   0.107  1.000  0.547  0.403
-        3  0.59978   0.301  0.547  1.000  0.205
-        4  0.44859  -0.149  0.403  0.205  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.153 +- 0.321538
-15.9907 +- 0.294927
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.5 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -4.27508e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00   5.60673e+01
-   3  sg_p2        9.57872e-01   5.00000e-01   0.00000e+00  -1.96076e+02
-   4  sg_p3        1.43385e+00   7.00000e-01  -6.31466e-01   3.52996e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM MIGRAD    STATUS=CONVERGED     145 CALLS         146 TOTAL
-                     EDM=1.59039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58875e+02   3.28831e-01   1.01097e-03   2.51867e-01
-   2  sg_p1        1.50106e+01   3.27326e-01   1.94006e-03  -7.48907e-02
-   3  sg_p2        1.28146e+00   5.35843e-02   1.64296e-03  -7.25386e-02
-   4  sg_p3        1.13283e+00   5.00773e-02   1.24085e-03   1.93411e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.081e-01 -1.435e-02  2.668e-03 -5.685e-03 
- -1.435e-02  1.072e-01  9.872e-03  9.778e-03 
-  2.668e-03  9.872e-03  2.872e-03  8.529e-04 
- -5.685e-03  9.778e-03  8.529e-04  2.508e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44454   1.000 -0.133  0.151 -0.345
-        2  0.71564  -0.133  1.000  0.563  0.596
-        3  0.61000   0.151  0.563  1.000  0.318
-        4  0.65614  -0.345  0.596  0.318  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM HESSE     STATUS=OK             23 CALLS         169 TOTAL
-                     EDM=1.59031e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58875e+02   3.28953e-01   2.02195e-04   1.55611e-01
-   2  sg_p1        1.50106e+01   3.28179e-01   3.88013e-04   1.06416e-03
-   3  sg_p2        1.28146e+00   5.36907e-02   6.57184e-05  -5.09126e-01
-   4  sg_p3        1.13283e+00   5.01651e-02   2.48171e-04  -7.42776e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.082e-01 -1.448e-02  2.668e-03 -5.699e-03 
- -1.448e-02  1.077e-01  9.953e-03  9.852e-03 
-  2.668e-03  9.953e-03  2.883e-03  8.627e-04 
- -5.699e-03  9.852e-03  8.627e-04  2.517e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44521   1.000 -0.134  0.151 -0.345
-        2  0.71741  -0.134  1.000  0.565  0.598
-        3  0.61203   0.151  0.565  1.000  0.320
-        4  0.65766  -0.345  0.598  0.320  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.875 +- 0.328953
-15.0106 +- 0.328179
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14133.8 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.22550e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -8.95889e+01
-   3  sg_p2        1.26916e+00   5.00000e-01   0.00000e+00   3.67893e+01
-   4  sg_p3        1.35775e+00   7.00000e-01  -6.58678e-01  -5.62243e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM MIGRAD    STATUS=CONVERGED     210 CALLS         211 TOTAL
-                     EDM=0.000238073    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.56327e+02   3.14482e-01   9.83418e-04   8.55741e-01
-   2  sg_p1        1.57284e+01   2.76951e-01   1.90229e-03  -1.45089e-01
-   3  sg_p2        1.38542e+00   5.70093e-02   1.81418e-03   3.93447e-01
-   4  sg_p3        1.37775e+00   5.81896e-02   1.54738e-03   1.23982e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.890e-02  1.894e-03  3.842e-03 -3.325e-03 
-  1.894e-03  7.672e-02  7.163e-03  6.201e-03 
-  3.842e-03  7.163e-03  3.251e-03  5.637e-04 
- -3.325e-03  6.201e-03  5.637e-04  3.387e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30810   1.000  0.022  0.214 -0.182
-        2  0.55065   0.022  1.000  0.454  0.385
-        3  0.49896   0.214  0.454  1.000  0.170
-        4  0.43088  -0.182  0.385  0.170  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM HESSE     STATUS=OK             23 CALLS         234 TOTAL
-                     EDM=0.000238571    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.56327e+02   3.14566e-01   1.96684e-04   5.31070e-02
-   2  sg_p1        1.57284e+01   2.77362e-01   3.80459e-04   7.29003e-02
-   3  sg_p2        1.38542e+00   5.70763e-02   3.62837e-04  -4.62101e-01
-   4  sg_p3        1.37775e+00   5.82399e-02   3.09477e-04  -6.51471e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.896e-02  1.863e-03  3.856e-03 -3.331e-03 
-  1.863e-03  7.695e-02  7.208e-03  6.244e-03 
-  3.856e-03  7.208e-03  3.258e-03  5.699e-04 
- -3.331e-03  6.244e-03  5.699e-04  3.392e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30889   1.000  0.021  0.215 -0.182
-        2  0.55252   0.021  1.000  0.455  0.386
-        3  0.50072   0.215  0.455  1.000  0.171
-        4  0.43251  -0.182  0.386  0.171  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-556.327 +- 0.314566
-15.7284 +- 0.277362
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14534.5 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.04994e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.14427e+02
-   3  sg_p2        1.18464e+00   5.00000e-01   0.00000e+00   9.96830e+01
-   4  sg_p3        1.38937e+00   7.00000e-01  -6.47305e-01   1.30603e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM MIGRAD    STATUS=CONVERGED     185 CALLS         186 TOTAL
-                     EDM=5.50119e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58137e+02   3.32100e-01   9.95556e-04   1.68841e-01
-   2  sg_p1        1.48812e+01   3.22440e-01   1.91611e-03   3.95624e-02
-   3  sg_p2        1.27842e+00   5.09588e-02   1.60067e-03  -7.54823e-02
-   4  sg_p3        1.11410e+00   4.98337e-02   1.21814e-03   6.18485e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.103e-01 -2.020e-02  1.794e-03 -6.256e-03 
- -2.020e-02  1.040e-01  8.614e-03  9.577e-03 
-  1.794e-03  8.614e-03  2.597e-03  7.646e-04 
- -6.256e-03  9.577e-03  7.646e-04  2.484e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44749   1.000 -0.189  0.106 -0.378
-        2  0.69890  -0.189  1.000  0.524  0.596
-        3  0.56724   0.106  0.524  1.000  0.301
-        4  0.65666  -0.378  0.596  0.301  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM HESSE     STATUS=OK             23 CALLS         209 TOTAL
-                     EDM=5.49735e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58137e+02   3.32253e-01   1.99111e-04   1.25809e-01
-   2  sg_p1        1.48812e+01   3.23301e-01   7.66446e-05  -1.18793e-02
-   3  sg_p2        1.27842e+00   5.10516e-02   6.40269e-05  -5.10521e-01
-   4  sg_p3        1.11410e+00   4.99281e-02   4.87255e-05  -7.50065e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.104e-01 -2.039e-02  1.786e-03 -6.279e-03 
- -2.039e-02  1.046e-01  8.688e-03  9.654e-03 
-  1.786e-03  8.688e-03  2.607e-03  7.739e-04 
- -6.279e-03  9.654e-03  7.739e-04  2.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44831   1.000 -0.190  0.105 -0.378
-        2  0.70084  -0.190  1.000  0.526  0.598
-        3  0.56941   0.105  0.526  1.000  0.304
-        4  0.65830  -0.378  0.598  0.304  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.137 +- 0.332253
-14.8812 +- 0.323301
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14860.1 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.96476e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.39102e+02
-   3  sg_p2        1.31219e+00   5.00000e-01   0.00000e+00   8.51723e+01
-   4  sg_p3        1.40309e+00   7.00000e-01  -6.42399e-01  -3.16309e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=2.32867e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57839e+02   3.16310e-01   9.64235e-04  -9.53938e-03
-   2  sg_p1        1.45911e+01   3.04213e-01   1.85567e-03  -1.11765e-02
-   3  sg_p2        1.30884e+00   5.20626e-02   1.65224e-03   2.13112e-02
-   4  sg_p3        1.13165e+00   4.90247e-02   1.22393e-03   1.25630e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.679e-02  1.892e-03 -5.645e-03 
- -1.679e-02  9.257e-02  8.162e-03  8.712e-03 
-  1.892e-03  8.162e-03  2.711e-03  7.376e-04 
- -5.645e-03  8.712e-03  7.376e-04  2.404e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43494   1.000 -0.174  0.115 -0.364
-        2  0.68887  -0.174  1.000  0.515  0.584
-        3  0.55849   0.115  0.515  1.000  0.289
-        4  0.64393  -0.364  0.584  0.289  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM HESSE     STATUS=OK             23 CALLS         230 TOTAL
-                     EDM=2.3344e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57839e+02   3.16455e-01   3.85694e-05   1.13812e-01
-   2  sg_p1        1.45911e+01   3.05011e-01   7.42270e-05  -4.09030e-02
-   3  sg_p2        1.30884e+00   5.21549e-02   6.60897e-05  -4.96630e-01
-   4  sg_p3        1.13165e+00   4.91147e-02   4.89571e-05  -7.43231e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.696e-02  1.886e-03 -5.665e-03 
- -1.696e-02  9.306e-02  8.232e-03  8.781e-03 
-  1.886e-03  8.232e-03  2.721e-03  7.467e-04 
- -5.665e-03  8.781e-03  7.467e-04  2.413e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43580   1.000 -0.176  0.114 -0.364
-        2  0.69086  -0.176  1.000  0.517  0.586
-        3  0.56066   0.114  0.517  1.000  0.291
-        4  0.64559  -0.364  0.586  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.839 +- 0.316455
-14.5911 +- 0.305011
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13882.6 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.85565e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -4.99994e+01
-   3  sg_p2        1.14901e+00   5.00000e-01  -8.51477e-02   2.28635e+00
-   4  sg_p3        1.41391e+00   7.00000e-01   0.00000e+00   1.79604e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=1.65564e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57980e+02   3.34363e-01   9.81953e-04   6.44675e-02
-   2  sg_p1        1.47979e+01   3.20681e-01   1.89110e-03   8.04335e-02
-   3  sg_p2        1.31085e+00   5.36609e-02   1.65482e-03  -1.47147e-01
-   4  sg_p3        1.12068e+00   5.06777e-02   1.22086e-03   1.27989e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.118e-01 -2.084e-02  1.817e-03 -6.408e-03 
- -2.084e-02  1.029e-01  8.748e-03  9.557e-03 
-  1.817e-03  8.748e-03  2.880e-03  7.828e-04 
- -6.408e-03  9.557e-03  7.828e-04  2.569e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44246   1.000 -0.194  0.101 -0.378
-        2  0.68849  -0.194  1.000  0.508  0.588
-        3  0.55062   0.101  0.508  1.000  0.288
-        4  0.64866  -0.378  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=1.65875e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57980e+02   3.34499e-01   1.96391e-04   1.19503e-01
-   2  sg_p1        1.47979e+01   3.21384e-01   3.78219e-04  -2.02134e-02
-   3  sg_p2        1.31085e+00   5.37405e-02   3.30963e-04  -4.95716e-01
-   4  sg_p3        1.12068e+00   5.07549e-02   2.44171e-04  -7.47499e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.119e-01 -2.101e-02  1.811e-03 -6.428e-03 
- -2.101e-02  1.033e-01  8.812e-03  9.620e-03 
-  1.811e-03  8.812e-03  2.889e-03  7.908e-04 
- -6.428e-03  9.620e-03  7.908e-04  2.576e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44320   1.000 -0.195  0.101 -0.379
-        2  0.69016  -0.195  1.000  0.510  0.590
-        3  0.55249   0.101  0.510  1.000  0.290
-        4  0.65002  -0.379  0.590  0.290  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.98 +- 0.334499
-14.7979 +- 0.321384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15819.8 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.00618e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.06424e+02
-   3  sg_p2        1.24250e+00   5.00000e-01   0.00000e+00   8.72112e+01
-   4  sg_p3        1.58707e+00   7.00000e-01  -5.78240e-01   1.36356e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=3.72733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57991e+02   3.13470e-01   9.81807e-04   1.43269e-02
-   2  sg_p1        1.48025e+01   3.00871e-01   1.88933e-03   1.01623e-01
-   3  sg_p2        1.30793e+00   5.01308e-02   1.66000e-03  -7.41075e-02
-   4  sg_p3        1.12096e+00   4.75155e-02   1.22457e-03  -3.73256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.827e-02 -1.818e-02  1.608e-03 -5.619e-03 
- -1.818e-02  9.055e-02  7.685e-03  8.406e-03 
-  1.608e-03  7.685e-03  2.514e-03  6.873e-04 
- -5.619e-03  8.406e-03  6.873e-04  2.258e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44218   1.000 -0.193  0.102 -0.377
-        2  0.68889  -0.193  1.000  0.509  0.588
-        3  0.55187   0.102  0.509  1.000  0.288
-        4  0.64863  -0.377  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=3.72671e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57991e+02   3.13600e-01   1.96361e-04   1.19946e-01
-   2  sg_p1        1.48025e+01   3.01553e-01   3.77865e-04  -1.97513e-02
-   3  sg_p2        1.30793e+00   5.02105e-02   6.64000e-05  -4.97043e-01
-   4  sg_p3        1.12096e+00   4.75893e-02   2.44915e-04  -7.47388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.835e-02 -1.832e-02  1.604e-03 -5.636e-03 
- -1.832e-02  9.096e-02  7.744e-03  8.463e-03 
-  1.604e-03  7.744e-03  2.522e-03  6.946e-04 
- -5.636e-03  8.463e-03  6.946e-04  2.265e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44293   1.000 -0.194  0.102 -0.378
-        2  0.69061  -0.194  1.000  0.511  0.590
-        3  0.55387   0.102  0.511  1.000  0.291
-        4  0.65001  -0.378  0.590  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.991 +- 0.3136
-14.8025 +- 0.301553
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 557.153 +- 0.321538 (stat) - 0.826073 + 1.72147 (syst); -0.841572/+1.72896 (total)
-   Uncertainty on sg_p1 = 15.9907 +- 0.294927 (stat) - 1.39965 + 0 (syst); -1.40739/+0.147463 (total)
-   Uncertainty on sg_p2 = 1.40719 +- 0.0664804 (stat) - 0.128774 + 0 (syst); -0.132995/+0.0332402 (total)
-   Uncertainty on sg_p3 = 1.40947 +- 0.0605049 (stat) - 0.295372 + 0 (syst); -0.296917/+0.0302524 (total)
-   === Baseline plot === </br>
-   norm = 123.788
-JEC     lnN   1.02905  -
-JER     lnN   1.01484  -
-btag    lnN   1.06518  -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt
deleted file mode 100644
index 4ac6661..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.01596 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06702    -
-JER       lnN     1.01328   - 
-JEC       lnN     1.02779   -
-trigger   lnN     1.10    -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_crystal_1_550_1200/signal600_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_crystal_1_550_1200/signal600_sig.log
deleted file mode 100644
index 2b9a4cd..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_crystal_1_550_1200/signal600_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20407.2 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.37960e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.20569e+02
-   3  sg_p2        9.48780e-01   5.00000e-01   0.00000e+00   2.19249e+02
-   4  sg_p3        9.35752e-01   7.00000e-01  -8.22196e-01  -2.16926e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM MIGRAD    STATUS=CONVERGED     258 CALLS         259 TOTAL
-                     EDM=3.54203e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92104e+02   4.94229e-01   1.62450e-03  -2.33203e-01
-   2  sg_p1        3.16035e+01   3.64838e-01   4.18602e-03   4.92054e-02
-   3  sg_p2        2.32184e+00   1.74449e-01   2.49592e-03   4.15288e-02
-   4  sg_p3        2.56533e+00   2.80149e-01   3.09113e-03   3.31222e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  4.410e-04  2.284e-03 -4.332e-04 
-  4.410e-04  1.332e-01  3.420e-03  4.258e-04 
-  2.284e-03  3.420e-03  3.048e-02  4.517e-05 
- -4.332e-04  4.258e-04  4.517e-05  7.866e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02667   1.000  0.002  0.026 -0.003
-        2  0.05384   0.002  1.000  0.054  0.004
-        3  0.05979   0.026  0.054  1.000  0.001
-        4  0.00527  -0.003  0.004  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM HESSE     STATUS=OK             23 CALLS         282 TOTAL
-                     EDM=3.55279e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92104e+02   4.94244e-01   3.24901e-04   7.01930e-02
-   2  sg_p1        3.16035e+01   3.64897e-01   1.67441e-04   8.15808e-01
-   3  sg_p2        2.32184e+00   1.74479e-01   4.99183e-04  -7.13248e-02
-   4  sg_p3        2.56533e+00   2.80163e-01   6.18226e-04  -2.70328e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  3.135e-04  2.378e-03 -5.538e-04 
-  3.135e-04  1.332e-01  3.580e-03  7.538e-04 
-  2.378e-03  3.580e-03  3.049e-02  5.456e-05 
- -5.538e-04  7.538e-04  5.456e-05  7.867e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02784   1.000  0.002  0.028 -0.004
-        2  0.05664   0.002  1.000  0.056  0.007
-        3  0.06252   0.028  0.056  1.000  0.001
-        4  0.00842  -0.004  0.007  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-592.104 +- 0.494244
-31.6035 +- 0.364897
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20903.6 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.76905e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.33312e+02
-   3  sg_p2        8.35066e-01   5.00000e-01   0.00000e+00   1.55262e+02
-   4  sg_p3        1.06407e+00   7.00000e-01  -7.69784e-01  -6.62795e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.01877 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             27 CALLS         327 TOTAL
-                     EDM=0.353557    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   1.65618e-03   2.97074e-02
-   2  sg_p1        3.19678e+01   3.59009e-01   4.38078e-03   7.51718e-03
-   3  sg_p2        3.30884e+00   1.90897e+00   9.40463e-02  -2.17700e-03
-   4  sg_p3        3.57858e+00   1.02503e+00   5.00000e-01  -2.82844e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=20782.7 FROM MIGRAD    STATUS=CONVERGED     349 CALLS         350 TOTAL
-                     EDM=0.00116564    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.5 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   0.00000e+00  -7.95791e-04
-   2  sg_p1        3.19677e+01   3.59015e-01   0.00000e+00  -1.29854e-03
-   3  sg_p2        3.31338e+00   1.90573e+00   0.00000e+00  -5.13595e-02
-   4  sg_p3        4.44183e+00   9.90294e-01   0.00000e+00  -7.71997e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.206e-04 -3.792e-05  6.874e-06 
-  1.206e-04  1.290e-01 -2.103e-05  2.400e-05 
- -3.792e-05 -2.103e-05  4.913e+00  1.276e-01 
-  6.874e-06  2.400e-05  1.276e-01  1.010e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00068   1.000  0.001 -0.000  0.000
-        2  0.00069   0.001  1.000 -0.000  0.000
-        3  0.05726  -0.000 -0.000  1.000  0.057
-        4  0.05726   0.000  0.000  0.057  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             29 CALLS         379 TOTAL
-                     EDM=0.00193193    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.94811e+02   4.92614e-01   1.65617e-03   1.61052e-01
-   2  sg_p1        3.19677e+01   3.59005e-01   1.75231e-03   8.59341e-01
-   3  sg_p2        3.31338e+00   1.92835e+00   9.34815e-02   3.31384e-01
-   4  sg_p3        4.44183e+00   4.36098e+00   5.00000e-01   2.72453e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.189e-04  4.150e-10  3.937e-09 
-  1.189e-04  1.290e-01  7.552e-10  7.164e-09 
-  4.150e-10  7.552e-10  5.086e+00  4.866e-17 
-  3.937e-09  7.164e-09  4.866e-17  3.680e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00067   1.000  0.001  0.000  0.000
-        2  0.00067   0.001  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-594.811 +- 0.492614
-31.9677 +- 0.359005
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19759.2 FROM MIGRAD    STATUS=INITIATE       61 CALLS          62 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -3.08252e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00   3.47377e+00
-   3  sg_p2        1.03803e+00   5.00000e-01   0.00000e+00   1.96966e+02
-   4  sg_p3        6.78922e-01   7.00000e-01  -9.37400e-01  -9.51087e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             27 CALLS         295 TOTAL
-                     EDM=0.000519933    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89106e+02   4.99310e-01   1.60340e-03  -1.77687e-01
-   2  sg_p1        3.11952e+01   3.74439e-01   3.97599e-03   1.75125e-01
-   3  sg_p2        2.15446e+00   1.55638e-01   6.05904e-03   5.07493e-02
-   4  sg_p3        2.86472e+00   1.00280e+00   2.23604e-02   1.02315e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00142 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=19618.4 FROM MIGRAD    STATUS=FAILED        359 CALLS         360 TOTAL
-                     EDM=0.026975    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  42.7 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89107e+02   1.06052e+00   0.00000e+00   3.45243e-02
-   2  sg_p1        3.11930e+01   5.01209e-01   0.00000e+00   3.04828e-02
-   3  sg_p2        2.15412e+00   1.61274e+00  -0.00000e+00   1.77468e-02
-   4  sg_p3        2.85260e+00   2.27046e+00   0.00000e+00  -1.96724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.125e+00 -5.647e-02  7.612e-01  2.001e+00 
- -5.647e-02  2.515e-01 -5.717e-01  8.039e-02 
-  7.612e-01 -5.717e-01  3.085e+00 -2.479e-02 
-  2.001e+00  8.039e-02 -2.479e-02  6.149e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.87825   1.000 -0.106  0.409  0.761
-        2  0.68964  -0.106  1.000 -0.649  0.065
-        3  0.81697   0.409 -0.649  1.000 -0.006
-        4  0.84389   0.761  0.065 -0.006  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             29 CALLS         389 TOTAL
-                     EDM=1.78558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.89107e+02   4.98832e-01   1.60273e-03  -2.97585e-02
-   2  sg_p1        3.11930e+01   3.72807e-01   3.96095e-03   7.69036e-01
-   3  sg_p2        2.15412e+00   1.55604e-01   5.99006e-03  -1.38798e-01
-   4  sg_p3        2.85260e+00   7.77091e-01   2.18365e-02  -1.86043e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.489e-01  3.933e-03  6.510e-03 -1.038e-02 
-  3.933e-03  1.391e-01  8.935e-03  1.739e-02 
-  6.510e-03  8.935e-03  2.424e-02  8.994e-04 
- -1.038e-02  1.739e-02  8.994e-04  6.144e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08866   1.000  0.021  0.084 -0.027
-        2  0.16487   0.021  1.000  0.154  0.059
-        3  0.17370   0.084  0.154  1.000  0.007
-        4  0.06566  -0.027  0.059  0.007  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-589.107 +- 0.498832
-31.193 +- 0.372807
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18511.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.40396e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.52378e+01
-   3  sg_p2        1.18490e+00   5.00000e-01   0.00000e+00   2.04158e+01
-   4  sg_p3        1.47860e+00   7.00000e-01  -6.15717e-01  -1.54349e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=1.54851e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08692e+02   3.23280e-01   1.16514e-03  -7.99199e-03
-   2  sg_p1        1.83569e+01   2.79934e-01   3.02518e-03  -2.66369e-02
-   3  sg_p2        1.48767e+00   5.44286e-02   2.05315e-03   4.94574e-02
-   4  sg_p3        1.40613e+00   6.14668e-02   1.81455e-03   2.39101e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.045e-01 -9.051e-03  2.188e-03 -5.216e-03 
- -9.051e-03  7.840e-02  5.474e-03  7.094e-03 
-  2.188e-03  5.474e-03  2.963e-03  4.768e-04 
- -5.216e-03  7.094e-03  4.768e-04  3.779e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31290   1.000 -0.100  0.124 -0.262
-        2  0.51370  -0.100  1.000  0.359  0.412
-        3  0.39510   0.124  0.359  1.000  0.142
-        4  0.46945  -0.262  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM HESSE     STATUS=OK             23 CALLS         222 TOTAL
-                     EDM=1.54744e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08692e+02   3.23426e-01   4.66057e-05   1.48232e-01
-   2  sg_p1        1.83569e+01   2.80464e-01   1.21007e-04   1.14504e-01
-   3  sg_p2        1.48767e+00   5.44911e-02   8.21259e-05  -4.16906e-01
-   4  sg_p3        1.40613e+00   6.15475e-02   7.25820e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.046e-01 -9.179e-03  2.197e-03 -5.241e-03 
- -9.179e-03  7.870e-02  5.524e-03  7.158e-03 
-  2.197e-03  5.524e-03  2.970e-03  4.840e-04 
- -5.241e-03  7.158e-03  4.840e-04  3.789e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.101  0.125 -0.263
-        2  0.51639  -0.101  1.000  0.361  0.415
-        3  0.39754   0.125  0.361  1.000  0.144
-        4  0.47162  -0.263  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.692 +- 0.323426
-18.3569 +- 0.280464
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18914.3 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07615e+02   5.00000e+00   0.00000e+00  -3.22775e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   5.18097e+00
-   3  sg_p2        1.14423e+00   5.00000e-01   0.00000e+00  -1.00194e+02
-   4  sg_p3        1.45830e+00   7.00000e-01  -6.22838e-01   5.05414e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=2.83441e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.09835e+02   3.20458e-01   1.18122e-03   1.99716e-02
-   2  sg_p1        1.84026e+01   2.81622e-01   3.04842e-03  -4.57325e-03
-   3  sg_p2        1.46608e+00   5.89939e-02   2.13709e-03  -5.15374e-04
-   4  sg_p3        1.40527e+00   5.47157e-02   1.70241e-03   2.83643e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.027e-01  2.191e-03  4.166e-03 -3.049e-03 
-  2.191e-03  7.935e-02  7.350e-03  5.397e-03 
-  4.166e-03  7.350e-03  3.481e-03  4.765e-04 
- -3.049e-03  5.397e-03  4.765e-04  2.994e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30388   1.000  0.024  0.220 -0.174
-        2  0.52791   0.024  1.000  0.442  0.350
-        3  0.49057   0.220  0.442  1.000  0.148
-        4  0.39639  -0.174  0.350  0.148  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=2.83854e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.09835e+02   3.20577e-01   2.36244e-04   1.94613e-01
-   2  sg_p1        1.84026e+01   2.82160e-01   1.21937e-04   1.20635e-01
-   3  sg_p2        1.46608e+00   5.90852e-02   8.54835e-05  -4.26369e-01
-   4  sg_p3        1.40527e+00   5.47727e-02   6.80964e-05  -6.41619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.028e-01  2.166e-03  4.187e-03 -3.058e-03 
-  2.166e-03  7.965e-02  7.413e-03  5.449e-03 
-  4.187e-03  7.413e-03  3.492e-03  4.840e-04 
- -3.058e-03  5.449e-03  4.840e-04  3.000e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30498   1.000  0.024  0.221 -0.174
-        2  0.53050   0.024  1.000  0.444  0.352
-        3  0.49295   0.221  0.444  1.000  0.150
-        4  0.39859  -0.174  0.352  0.150  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-609.835 +- 0.320577
-18.4026 +- 0.28216
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17827.8 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -3.81579e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -1.00435e+02
-   3  sg_p2        1.28822e+00   5.00000e-01   0.00000e+00   2.73039e+01
-   4  sg_p3        1.80614e+00   7.00000e-01  -5.05175e-01   1.07828e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0886e+00  1.1061e+00  1.8427e+00  2.1398e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.090718 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         194 TOTAL
-                     EDM=0.416197    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07398e+02   2.64955e+00   1.52214e-04  -1.22217e+01
-   2  sg_p1        1.77156e+01   1.07159e+00   3.05183e-03  -2.94405e+00
-   3  sg_p2        1.40875e+00   4.86527e-02   4.22960e-04  -1.06232e+01
-   4  sg_p3        1.34786e+00   1.92678e-01   1.78861e-03   3.70210e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=17796.1 FROM MIGRAD    STATUS=FAILED        231 CALLS         232 TOTAL
-                     EDM=854.994    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07407e+02   1.35903e-01  -0.00000e+00   6.05600e+02
-   2  sg_p1        1.77116e+01   1.50263e-01   0.00000e+00   1.62850e+02
-   3  sg_p2        1.40858e+00   6.28910e-03   0.00000e+00  -1.08286e+01
-   4  sg_p3        1.34715e+00   2.75057e-02   0.00000e+00   3.92805e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.847e-02 -2.028e-02 -7.414e-04 -3.202e-03 
- -2.028e-02  2.258e-02  8.238e-04  3.560e-03 
- -7.414e-04  8.238e-04  3.955e-05  1.478e-04 
- -3.202e-03  3.560e-03  1.478e-04  7.566e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99312   1.000 -0.993 -0.867 -0.856
-        2  0.99342  -0.993  1.000  0.872  0.861
-        3  0.89539  -0.867  0.872  1.000  0.855
-        4  0.88698  -0.856  0.861  0.855  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.1751e+01  9.9679e-01  1.9909e+00  7.2763e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 71.823632 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         259 TOTAL
-                     EDM=0.0450234    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07407e+02   8.84526e-03   4.47722e-05   9.64479e-02
-   2  sg_p1        1.77116e+01   9.83564e-03   1.65224e-04   2.82174e-02
-   3  sg_p2        1.40858e+00   7.59554e-03   2.51140e-05  -4.51783e-01
-   4  sg_p3        1.34715e+00   1.39806e-01   8.90793e-05  -6.62511e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.824e-05  8.666e-05 -3.386e-05  1.235e-03 
-  8.666e-05  9.674e-05 -3.765e-05  1.373e-03 
- -3.386e-05 -3.765e-05  5.769e-05 -5.353e-04 
-  1.235e-03  1.373e-03 -5.353e-04  1.956e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99802   1.000  0.996 -0.504  0.998
-        2  0.99801   0.996  1.000 -0.504  0.998
-        3  0.50444  -0.504 -0.504  1.000 -0.504
-        4  0.99899   0.998  0.998 -0.504  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-607.407 +- 0.00884526
-17.7116 +- 0.00983564
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18313.7 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.10963e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.40680e+01
-   3  sg_p2        1.12814e+00   5.00000e-01   0.00000e+00  -1.98843e+01
-   4  sg_p3        1.45064e+00   7.00000e-01  -6.25537e-01  -1.20812e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM MIGRAD    STATUS=CONVERGED     166 CALLS         167 TOTAL
-                     EDM=7.98313e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08803e+02   3.30506e-01   1.18077e-03  -1.43643e-02
-   2  sg_p1        1.84717e+01   2.89622e-01   3.07900e-03  -7.62757e-02
-   3  sg_p2        1.45856e+00   5.36517e-02   1.98838e-03  -2.33437e-02
-   4  sg_p3        1.38960e+00   6.15342e-02   1.80011e-03   4.41451e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.092e-01 -9.440e-03  2.340e-03 -5.461e-03 
- -9.440e-03  8.392e-02  5.863e-03  7.559e-03 
-  2.340e-03  5.863e-03  2.879e-03  5.057e-04 
- -5.461e-03  7.559e-03  5.057e-04  3.787e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32401   1.000 -0.099  0.132 -0.268
-        2  0.53046  -0.099  1.000  0.377  0.424
-        3  0.41529   0.132  0.377  1.000  0.153
-        4  0.48258  -0.268  0.424  0.153  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM HESSE     STATUS=OK             23 CALLS         190 TOTAL
-                     EDM=8.00182e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08803e+02   3.30636e-01   2.36154e-04   1.52717e-01
-   2  sg_p1        1.84717e+01   2.90111e-01   6.15801e-04   1.29921e-01
-   3  sg_p2        1.45856e+00   5.37098e-02   7.95354e-05  -4.29674e-01
-   4  sg_p3        1.38960e+00   6.16044e-02   3.60021e-04  -6.47219e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.093e-01 -9.548e-03  2.348e-03 -5.481e-03 
- -9.548e-03  8.421e-02  5.909e-03  7.616e-03 
-  2.348e-03  5.909e-03  2.885e-03  5.122e-04 
- -5.481e-03  7.616e-03  5.122e-04  3.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32509   1.000 -0.100  0.132 -0.269
-        2  0.53273  -0.100  1.000  0.379  0.426
-        3  0.41743   0.132  0.379  1.000  0.155
-        4  0.48438  -0.269  0.426  0.155  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.803 +- 0.330636
-18.4717 +- 0.290111
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18711.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.18390e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.18392e+01
-   3  sg_p2        1.20377e+00   5.00000e-01   0.00000e+00   8.44187e+00
-   4  sg_p3        1.54524e+00   7.00000e-01  -5.92581e-01   1.53539e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=3.64592e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08629e+02   3.18788e-01   1.15078e-03  -3.36230e-01
-   2  sg_p1        1.81384e+01   2.76492e-01   2.97751e-03  -6.31530e-02
-   3  sg_p2        1.49686e+00   5.44757e-02   2.06505e-03   2.07196e-02
-   4  sg_p3        1.39306e+00   6.05611e-02   1.78870e-03   1.70313e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.016e-01 -1.019e-02  2.021e-03 -5.340e-03 
- -1.019e-02  7.648e-02  5.389e-03  7.151e-03 
-  2.021e-03  5.389e-03  2.968e-03  4.840e-04 
- -5.340e-03  7.151e-03  4.840e-04  3.668e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32316   1.000 -0.116  0.116 -0.277
-        2  0.52296  -0.116  1.000  0.358  0.427
-        3  0.39289   0.116  0.358  1.000  0.147
-        4  0.48547  -0.277  0.427  0.147  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM HESSE     STATUS=OK             23 CALLS         229 TOTAL
-                     EDM=3.64813e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08629e+02   3.18930e-01   2.30156e-04   1.45672e-01
-   2  sg_p1        1.81384e+01   2.76957e-01   5.95502e-04   8.52226e-02
-   3  sg_p2        1.49686e+00   5.45322e-02   8.26022e-05  -4.12888e-01
-   4  sg_p3        1.39306e+00   6.06332e-02   7.15481e-05  -6.45981e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.017e-01 -1.031e-02  2.029e-03 -5.364e-03 
- -1.031e-02  7.674e-02  5.434e-03  7.205e-03 
-  2.029e-03  5.434e-03  2.974e-03  4.905e-04 
- -5.364e-03  7.205e-03  4.905e-04  3.677e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32439   1.000 -0.117  0.117 -0.277
-        2  0.52528  -0.117  1.000  0.360  0.429
-        3  0.39510   0.117  0.360  1.000  0.148
-        4  0.48733  -0.277  0.429  0.148  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.629 +- 0.31893
-18.1384 +- 0.276957
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17303.3 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -6.79986e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.47913e+01
-   3  sg_p2        1.18392e+00   5.00000e-01   0.00000e+00   1.09112e+01
-   4  sg_p3        1.50179e+00   7.00000e-01  -6.07622e-01  -1.34120e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=1.97081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08678e+02   3.33992e-01   1.16426e-03   9.30660e-02
-   2  sg_p1        1.83420e+01   2.89061e-01   3.02407e-03  -5.38511e-02
-   3  sg_p2        1.48991e+00   5.64139e-02   2.05472e-03  -1.38092e-01
-   4  sg_p3        1.40621e+00   6.35546e-02   1.81513e-03   1.01686e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.116e-01 -9.726e-03  2.331e-03 -5.579e-03 
- -9.726e-03  8.360e-02  5.845e-03  7.576e-03 
-  2.331e-03  5.845e-03  3.183e-03  5.099e-04 
- -5.579e-03  7.576e-03  5.099e-04  4.040e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31288   1.000 -0.101  0.124 -0.263
-        2  0.51335  -0.101  1.000  0.358  0.412
-        3  0.39415   0.124  0.358  1.000  0.142
-        4  0.46956  -0.263  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM HESSE     STATUS=OK             23 CALLS         186 TOTAL
-                     EDM=1.96909e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08678e+02   3.34135e-01   2.32851e-04   1.47652e-01
-   2  sg_p1        1.83420e+01   2.89586e-01   1.20963e-04   1.12504e-01
-   3  sg_p2        1.48991e+00   5.64735e-02   4.10945e-04  -4.15923e-01
-   4  sg_p3        1.40621e+00   6.36376e-02   7.26053e-05  -6.41285e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.117e-01 -9.856e-03  2.338e-03 -5.606e-03 
- -9.856e-03  8.390e-02  5.896e-03  7.643e-03 
-  2.338e-03  5.896e-03  3.190e-03  5.173e-04 
- -5.606e-03  7.643e-03  5.173e-04  4.050e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31411   1.000 -0.102  0.124 -0.264
-        2  0.51594  -0.102  1.000  0.360  0.415
-        3  0.39639   0.124  0.360  1.000  0.144
-        4  0.47171  -0.264  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.678 +- 0.334135
-18.342 +- 0.289586
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19781.5 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.94070e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.71988e+01
-   3  sg_p2        1.17009e+00   5.00000e-01   0.00000e+00  -7.70001e-01
-   4  sg_p3        1.45286e+00   7.00000e-01  -6.24753e-01  -3.36178e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=4.57234e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08706e+02   3.13081e-01   1.16661e-03   7.50814e-02
-   2  sg_p1        1.83713e+01   2.71251e-01   3.02919e-03   4.52649e-02
-   3  sg_p2        1.48521e+00   5.25283e-02   2.04671e-03  -2.57882e-02
-   4  sg_p3        1.40613e+00   5.94897e-02   1.81550e-03   4.82439e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.802e-02 -8.423e-03  2.056e-03 -4.882e-03 
- -8.423e-03  7.361e-02  5.131e-03  6.652e-03 
-  2.056e-03  5.131e-03  2.760e-03  4.464e-04 
- -4.882e-03  6.652e-03  4.464e-04  3.540e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31292   1.000 -0.099  0.125 -0.262
-        2  0.51406  -0.099  1.000  0.360  0.412
-        3  0.39608   0.125  0.360  1.000  0.143
-        4  0.46939  -0.262  0.412  0.143  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=4.58525e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08706e+02   3.13220e-01   2.33322e-04   1.48803e-01
-   2  sg_p1        1.83713e+01   2.71761e-01   1.21167e-04   1.16438e-01
-   3  sg_p2        1.48521e+00   5.25885e-02   8.18685e-05  -4.17982e-01
-   4  sg_p3        1.40613e+00   5.95681e-02   7.26199e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.811e-02 -8.532e-03  2.065e-03 -4.905e-03 
- -8.532e-03  7.389e-02  5.178e-03  6.711e-03 
-  2.065e-03  5.178e-03  2.766e-03  4.531e-04 
- -4.905e-03  6.711e-03  4.531e-04  3.549e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.100  0.125 -0.263
-        2  0.51674  -0.100  1.000  0.362  0.414
-        3  0.39850   0.125  0.362  1.000  0.145
-        4  0.47156  -0.263  0.414  0.145  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.706 +- 0.31322
-18.3713 +- 0.271761
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 608.692 +- 0.323426 (stat) - 1.28478 + 1.14244 (syst); -1.29492/+1.15383 (total)
-   Uncertainty on sg_p1 = 18.3569 +- 0.280464 (stat) - 0.645303 + 0.114761 (syst); -0.660364/+0.181204 (total)
-   Uncertainty on sg_p2 = 1.48767 +- 0.0544911 (stat) - 0.0790904 + 0.00919321 (syst); -0.0836517/+0.0287548 (total)
-   Uncertainty on sg_p3 = 1.40613 +- 0.0615475 (stat) - 0.0589742 + 8.24765e-05 (syst); -0.0665205/+0.0307738 (total)
-   === Baseline plot === </br>
-   norm = 150.798
-JEC     lnN   1.02779  -
-JER     lnN   1.01328  -
-btag    lnN   1.06702  -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
deleted file mode 100644
index 396f0ac..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.01596 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06702    -
-JER       lnN     1.01328   - 
-JEC       lnN     1.02779   -
-trigger   lnN     1.10    -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_novo_550_1200/signal600_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_novo_550_1200/signal600_sig.log
deleted file mode 100644
index 2b9a4cd..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_600_novo_550_1200/signal600_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20407.2 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.37960e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.20569e+02
-   3  sg_p2        9.48780e-01   5.00000e-01   0.00000e+00   2.19249e+02
-   4  sg_p3        9.35752e-01   7.00000e-01  -8.22196e-01  -2.16926e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM MIGRAD    STATUS=CONVERGED     258 CALLS         259 TOTAL
-                     EDM=3.54203e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92104e+02   4.94229e-01   1.62450e-03  -2.33203e-01
-   2  sg_p1        3.16035e+01   3.64838e-01   4.18602e-03   4.92054e-02
-   3  sg_p2        2.32184e+00   1.74449e-01   2.49592e-03   4.15288e-02
-   4  sg_p3        2.56533e+00   2.80149e-01   3.09113e-03   3.31222e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  4.410e-04  2.284e-03 -4.332e-04 
-  4.410e-04  1.332e-01  3.420e-03  4.258e-04 
-  2.284e-03  3.420e-03  3.048e-02  4.517e-05 
- -4.332e-04  4.258e-04  4.517e-05  7.866e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02667   1.000  0.002  0.026 -0.003
-        2  0.05384   0.002  1.000  0.054  0.004
-        3  0.05979   0.026  0.054  1.000  0.001
-        4  0.00527  -0.003  0.004  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM HESSE     STATUS=OK             23 CALLS         282 TOTAL
-                     EDM=3.55279e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92104e+02   4.94244e-01   3.24901e-04   7.01930e-02
-   2  sg_p1        3.16035e+01   3.64897e-01   1.67441e-04   8.15808e-01
-   3  sg_p2        2.32184e+00   1.74479e-01   4.99183e-04  -7.13248e-02
-   4  sg_p3        2.56533e+00   2.80163e-01   6.18226e-04  -2.70328e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  3.135e-04  2.378e-03 -5.538e-04 
-  3.135e-04  1.332e-01  3.580e-03  7.538e-04 
-  2.378e-03  3.580e-03  3.049e-02  5.456e-05 
- -5.538e-04  7.538e-04  5.456e-05  7.867e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02784   1.000  0.002  0.028 -0.004
-        2  0.05664   0.002  1.000  0.056  0.007
-        3  0.06252   0.028  0.056  1.000  0.001
-        4  0.00842  -0.004  0.007  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-592.104 +- 0.494244
-31.6035 +- 0.364897
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20903.6 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.76905e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.33312e+02
-   3  sg_p2        8.35066e-01   5.00000e-01   0.00000e+00   1.55262e+02
-   4  sg_p3        1.06407e+00   7.00000e-01  -7.69784e-01  -6.62795e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.01877 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             27 CALLS         327 TOTAL
-                     EDM=0.353557    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   1.65618e-03   2.97074e-02
-   2  sg_p1        3.19678e+01   3.59009e-01   4.38078e-03   7.51718e-03
-   3  sg_p2        3.30884e+00   1.90897e+00   9.40463e-02  -2.17700e-03
-   4  sg_p3        3.57858e+00   1.02503e+00   5.00000e-01  -2.82844e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=20782.7 FROM MIGRAD    STATUS=CONVERGED     349 CALLS         350 TOTAL
-                     EDM=0.00116564    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.5 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   0.00000e+00  -7.95791e-04
-   2  sg_p1        3.19677e+01   3.59015e-01   0.00000e+00  -1.29854e-03
-   3  sg_p2        3.31338e+00   1.90573e+00   0.00000e+00  -5.13595e-02
-   4  sg_p3        4.44183e+00   9.90294e-01   0.00000e+00  -7.71997e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.206e-04 -3.792e-05  6.874e-06 
-  1.206e-04  1.290e-01 -2.103e-05  2.400e-05 
- -3.792e-05 -2.103e-05  4.913e+00  1.276e-01 
-  6.874e-06  2.400e-05  1.276e-01  1.010e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00068   1.000  0.001 -0.000  0.000
-        2  0.00069   0.001  1.000 -0.000  0.000
-        3  0.05726  -0.000 -0.000  1.000  0.057
-        4  0.05726   0.000  0.000  0.057  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             29 CALLS         379 TOTAL
-                     EDM=0.00193193    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.94811e+02   4.92614e-01   1.65617e-03   1.61052e-01
-   2  sg_p1        3.19677e+01   3.59005e-01   1.75231e-03   8.59341e-01
-   3  sg_p2        3.31338e+00   1.92835e+00   9.34815e-02   3.31384e-01
-   4  sg_p3        4.44183e+00   4.36098e+00   5.00000e-01   2.72453e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.189e-04  4.150e-10  3.937e-09 
-  1.189e-04  1.290e-01  7.552e-10  7.164e-09 
-  4.150e-10  7.552e-10  5.086e+00  4.866e-17 
-  3.937e-09  7.164e-09  4.866e-17  3.680e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00067   1.000  0.001  0.000  0.000
-        2  0.00067   0.001  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-594.811 +- 0.492614
-31.9677 +- 0.359005
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19759.2 FROM MIGRAD    STATUS=INITIATE       61 CALLS          62 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -3.08252e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00   3.47377e+00
-   3  sg_p2        1.03803e+00   5.00000e-01   0.00000e+00   1.96966e+02
-   4  sg_p3        6.78922e-01   7.00000e-01  -9.37400e-01  -9.51087e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             27 CALLS         295 TOTAL
-                     EDM=0.000519933    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89106e+02   4.99310e-01   1.60340e-03  -1.77687e-01
-   2  sg_p1        3.11952e+01   3.74439e-01   3.97599e-03   1.75125e-01
-   3  sg_p2        2.15446e+00   1.55638e-01   6.05904e-03   5.07493e-02
-   4  sg_p3        2.86472e+00   1.00280e+00   2.23604e-02   1.02315e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00142 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=19618.4 FROM MIGRAD    STATUS=FAILED        359 CALLS         360 TOTAL
-                     EDM=0.026975    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  42.7 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89107e+02   1.06052e+00   0.00000e+00   3.45243e-02
-   2  sg_p1        3.11930e+01   5.01209e-01   0.00000e+00   3.04828e-02
-   3  sg_p2        2.15412e+00   1.61274e+00  -0.00000e+00   1.77468e-02
-   4  sg_p3        2.85260e+00   2.27046e+00   0.00000e+00  -1.96724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.125e+00 -5.647e-02  7.612e-01  2.001e+00 
- -5.647e-02  2.515e-01 -5.717e-01  8.039e-02 
-  7.612e-01 -5.717e-01  3.085e+00 -2.479e-02 
-  2.001e+00  8.039e-02 -2.479e-02  6.149e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.87825   1.000 -0.106  0.409  0.761
-        2  0.68964  -0.106  1.000 -0.649  0.065
-        3  0.81697   0.409 -0.649  1.000 -0.006
-        4  0.84389   0.761  0.065 -0.006  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             29 CALLS         389 TOTAL
-                     EDM=1.78558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.89107e+02   4.98832e-01   1.60273e-03  -2.97585e-02
-   2  sg_p1        3.11930e+01   3.72807e-01   3.96095e-03   7.69036e-01
-   3  sg_p2        2.15412e+00   1.55604e-01   5.99006e-03  -1.38798e-01
-   4  sg_p3        2.85260e+00   7.77091e-01   2.18365e-02  -1.86043e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.489e-01  3.933e-03  6.510e-03 -1.038e-02 
-  3.933e-03  1.391e-01  8.935e-03  1.739e-02 
-  6.510e-03  8.935e-03  2.424e-02  8.994e-04 
- -1.038e-02  1.739e-02  8.994e-04  6.144e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08866   1.000  0.021  0.084 -0.027
-        2  0.16487   0.021  1.000  0.154  0.059
-        3  0.17370   0.084  0.154  1.000  0.007
-        4  0.06566  -0.027  0.059  0.007  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-589.107 +- 0.498832
-31.193 +- 0.372807
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18511.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.40396e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.52378e+01
-   3  sg_p2        1.18490e+00   5.00000e-01   0.00000e+00   2.04158e+01
-   4  sg_p3        1.47860e+00   7.00000e-01  -6.15717e-01  -1.54349e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=1.54851e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08692e+02   3.23280e-01   1.16514e-03  -7.99199e-03
-   2  sg_p1        1.83569e+01   2.79934e-01   3.02518e-03  -2.66369e-02
-   3  sg_p2        1.48767e+00   5.44286e-02   2.05315e-03   4.94574e-02
-   4  sg_p3        1.40613e+00   6.14668e-02   1.81455e-03   2.39101e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.045e-01 -9.051e-03  2.188e-03 -5.216e-03 
- -9.051e-03  7.840e-02  5.474e-03  7.094e-03 
-  2.188e-03  5.474e-03  2.963e-03  4.768e-04 
- -5.216e-03  7.094e-03  4.768e-04  3.779e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31290   1.000 -0.100  0.124 -0.262
-        2  0.51370  -0.100  1.000  0.359  0.412
-        3  0.39510   0.124  0.359  1.000  0.142
-        4  0.46945  -0.262  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM HESSE     STATUS=OK             23 CALLS         222 TOTAL
-                     EDM=1.54744e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08692e+02   3.23426e-01   4.66057e-05   1.48232e-01
-   2  sg_p1        1.83569e+01   2.80464e-01   1.21007e-04   1.14504e-01
-   3  sg_p2        1.48767e+00   5.44911e-02   8.21259e-05  -4.16906e-01
-   4  sg_p3        1.40613e+00   6.15475e-02   7.25820e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.046e-01 -9.179e-03  2.197e-03 -5.241e-03 
- -9.179e-03  7.870e-02  5.524e-03  7.158e-03 
-  2.197e-03  5.524e-03  2.970e-03  4.840e-04 
- -5.241e-03  7.158e-03  4.840e-04  3.789e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.101  0.125 -0.263
-        2  0.51639  -0.101  1.000  0.361  0.415
-        3  0.39754   0.125  0.361  1.000  0.144
-        4  0.47162  -0.263  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.692 +- 0.323426
-18.3569 +- 0.280464
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18914.3 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07615e+02   5.00000e+00   0.00000e+00  -3.22775e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   5.18097e+00
-   3  sg_p2        1.14423e+00   5.00000e-01   0.00000e+00  -1.00194e+02
-   4  sg_p3        1.45830e+00   7.00000e-01  -6.22838e-01   5.05414e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=2.83441e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.09835e+02   3.20458e-01   1.18122e-03   1.99716e-02
-   2  sg_p1        1.84026e+01   2.81622e-01   3.04842e-03  -4.57325e-03
-   3  sg_p2        1.46608e+00   5.89939e-02   2.13709e-03  -5.15374e-04
-   4  sg_p3        1.40527e+00   5.47157e-02   1.70241e-03   2.83643e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.027e-01  2.191e-03  4.166e-03 -3.049e-03 
-  2.191e-03  7.935e-02  7.350e-03  5.397e-03 
-  4.166e-03  7.350e-03  3.481e-03  4.765e-04 
- -3.049e-03  5.397e-03  4.765e-04  2.994e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30388   1.000  0.024  0.220 -0.174
-        2  0.52791   0.024  1.000  0.442  0.350
-        3  0.49057   0.220  0.442  1.000  0.148
-        4  0.39639  -0.174  0.350  0.148  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=2.83854e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.09835e+02   3.20577e-01   2.36244e-04   1.94613e-01
-   2  sg_p1        1.84026e+01   2.82160e-01   1.21937e-04   1.20635e-01
-   3  sg_p2        1.46608e+00   5.90852e-02   8.54835e-05  -4.26369e-01
-   4  sg_p3        1.40527e+00   5.47727e-02   6.80964e-05  -6.41619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.028e-01  2.166e-03  4.187e-03 -3.058e-03 
-  2.166e-03  7.965e-02  7.413e-03  5.449e-03 
-  4.187e-03  7.413e-03  3.492e-03  4.840e-04 
- -3.058e-03  5.449e-03  4.840e-04  3.000e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30498   1.000  0.024  0.221 -0.174
-        2  0.53050   0.024  1.000  0.444  0.352
-        3  0.49295   0.221  0.444  1.000  0.150
-        4  0.39859  -0.174  0.352  0.150  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-609.835 +- 0.320577
-18.4026 +- 0.28216
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17827.8 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -3.81579e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -1.00435e+02
-   3  sg_p2        1.28822e+00   5.00000e-01   0.00000e+00   2.73039e+01
-   4  sg_p3        1.80614e+00   7.00000e-01  -5.05175e-01   1.07828e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0886e+00  1.1061e+00  1.8427e+00  2.1398e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.090718 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         194 TOTAL
-                     EDM=0.416197    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07398e+02   2.64955e+00   1.52214e-04  -1.22217e+01
-   2  sg_p1        1.77156e+01   1.07159e+00   3.05183e-03  -2.94405e+00
-   3  sg_p2        1.40875e+00   4.86527e-02   4.22960e-04  -1.06232e+01
-   4  sg_p3        1.34786e+00   1.92678e-01   1.78861e-03   3.70210e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=17796.1 FROM MIGRAD    STATUS=FAILED        231 CALLS         232 TOTAL
-                     EDM=854.994    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07407e+02   1.35903e-01  -0.00000e+00   6.05600e+02
-   2  sg_p1        1.77116e+01   1.50263e-01   0.00000e+00   1.62850e+02
-   3  sg_p2        1.40858e+00   6.28910e-03   0.00000e+00  -1.08286e+01
-   4  sg_p3        1.34715e+00   2.75057e-02   0.00000e+00   3.92805e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.847e-02 -2.028e-02 -7.414e-04 -3.202e-03 
- -2.028e-02  2.258e-02  8.238e-04  3.560e-03 
- -7.414e-04  8.238e-04  3.955e-05  1.478e-04 
- -3.202e-03  3.560e-03  1.478e-04  7.566e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99312   1.000 -0.993 -0.867 -0.856
-        2  0.99342  -0.993  1.000  0.872  0.861
-        3  0.89539  -0.867  0.872  1.000  0.855
-        4  0.88698  -0.856  0.861  0.855  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.1751e+01  9.9679e-01  1.9909e+00  7.2763e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 71.823632 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         259 TOTAL
-                     EDM=0.0450234    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07407e+02   8.84526e-03   4.47722e-05   9.64479e-02
-   2  sg_p1        1.77116e+01   9.83564e-03   1.65224e-04   2.82174e-02
-   3  sg_p2        1.40858e+00   7.59554e-03   2.51140e-05  -4.51783e-01
-   4  sg_p3        1.34715e+00   1.39806e-01   8.90793e-05  -6.62511e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.824e-05  8.666e-05 -3.386e-05  1.235e-03 
-  8.666e-05  9.674e-05 -3.765e-05  1.373e-03 
- -3.386e-05 -3.765e-05  5.769e-05 -5.353e-04 
-  1.235e-03  1.373e-03 -5.353e-04  1.956e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99802   1.000  0.996 -0.504  0.998
-        2  0.99801   0.996  1.000 -0.504  0.998
-        3  0.50444  -0.504 -0.504  1.000 -0.504
-        4  0.99899   0.998  0.998 -0.504  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-607.407 +- 0.00884526
-17.7116 +- 0.00983564
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18313.7 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.10963e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.40680e+01
-   3  sg_p2        1.12814e+00   5.00000e-01   0.00000e+00  -1.98843e+01
-   4  sg_p3        1.45064e+00   7.00000e-01  -6.25537e-01  -1.20812e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM MIGRAD    STATUS=CONVERGED     166 CALLS         167 TOTAL
-                     EDM=7.98313e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08803e+02   3.30506e-01   1.18077e-03  -1.43643e-02
-   2  sg_p1        1.84717e+01   2.89622e-01   3.07900e-03  -7.62757e-02
-   3  sg_p2        1.45856e+00   5.36517e-02   1.98838e-03  -2.33437e-02
-   4  sg_p3        1.38960e+00   6.15342e-02   1.80011e-03   4.41451e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.092e-01 -9.440e-03  2.340e-03 -5.461e-03 
- -9.440e-03  8.392e-02  5.863e-03  7.559e-03 
-  2.340e-03  5.863e-03  2.879e-03  5.057e-04 
- -5.461e-03  7.559e-03  5.057e-04  3.787e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32401   1.000 -0.099  0.132 -0.268
-        2  0.53046  -0.099  1.000  0.377  0.424
-        3  0.41529   0.132  0.377  1.000  0.153
-        4  0.48258  -0.268  0.424  0.153  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM HESSE     STATUS=OK             23 CALLS         190 TOTAL
-                     EDM=8.00182e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08803e+02   3.30636e-01   2.36154e-04   1.52717e-01
-   2  sg_p1        1.84717e+01   2.90111e-01   6.15801e-04   1.29921e-01
-   3  sg_p2        1.45856e+00   5.37098e-02   7.95354e-05  -4.29674e-01
-   4  sg_p3        1.38960e+00   6.16044e-02   3.60021e-04  -6.47219e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.093e-01 -9.548e-03  2.348e-03 -5.481e-03 
- -9.548e-03  8.421e-02  5.909e-03  7.616e-03 
-  2.348e-03  5.909e-03  2.885e-03  5.122e-04 
- -5.481e-03  7.616e-03  5.122e-04  3.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32509   1.000 -0.100  0.132 -0.269
-        2  0.53273  -0.100  1.000  0.379  0.426
-        3  0.41743   0.132  0.379  1.000  0.155
-        4  0.48438  -0.269  0.426  0.155  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.803 +- 0.330636
-18.4717 +- 0.290111
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18711.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.18390e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.18392e+01
-   3  sg_p2        1.20377e+00   5.00000e-01   0.00000e+00   8.44187e+00
-   4  sg_p3        1.54524e+00   7.00000e-01  -5.92581e-01   1.53539e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=3.64592e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08629e+02   3.18788e-01   1.15078e-03  -3.36230e-01
-   2  sg_p1        1.81384e+01   2.76492e-01   2.97751e-03  -6.31530e-02
-   3  sg_p2        1.49686e+00   5.44757e-02   2.06505e-03   2.07196e-02
-   4  sg_p3        1.39306e+00   6.05611e-02   1.78870e-03   1.70313e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.016e-01 -1.019e-02  2.021e-03 -5.340e-03 
- -1.019e-02  7.648e-02  5.389e-03  7.151e-03 
-  2.021e-03  5.389e-03  2.968e-03  4.840e-04 
- -5.340e-03  7.151e-03  4.840e-04  3.668e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32316   1.000 -0.116  0.116 -0.277
-        2  0.52296  -0.116  1.000  0.358  0.427
-        3  0.39289   0.116  0.358  1.000  0.147
-        4  0.48547  -0.277  0.427  0.147  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM HESSE     STATUS=OK             23 CALLS         229 TOTAL
-                     EDM=3.64813e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08629e+02   3.18930e-01   2.30156e-04   1.45672e-01
-   2  sg_p1        1.81384e+01   2.76957e-01   5.95502e-04   8.52226e-02
-   3  sg_p2        1.49686e+00   5.45322e-02   8.26022e-05  -4.12888e-01
-   4  sg_p3        1.39306e+00   6.06332e-02   7.15481e-05  -6.45981e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.017e-01 -1.031e-02  2.029e-03 -5.364e-03 
- -1.031e-02  7.674e-02  5.434e-03  7.205e-03 
-  2.029e-03  5.434e-03  2.974e-03  4.905e-04 
- -5.364e-03  7.205e-03  4.905e-04  3.677e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32439   1.000 -0.117  0.117 -0.277
-        2  0.52528  -0.117  1.000  0.360  0.429
-        3  0.39510   0.117  0.360  1.000  0.148
-        4  0.48733  -0.277  0.429  0.148  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.629 +- 0.31893
-18.1384 +- 0.276957
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17303.3 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -6.79986e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.47913e+01
-   3  sg_p2        1.18392e+00   5.00000e-01   0.00000e+00   1.09112e+01
-   4  sg_p3        1.50179e+00   7.00000e-01  -6.07622e-01  -1.34120e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=1.97081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08678e+02   3.33992e-01   1.16426e-03   9.30660e-02
-   2  sg_p1        1.83420e+01   2.89061e-01   3.02407e-03  -5.38511e-02
-   3  sg_p2        1.48991e+00   5.64139e-02   2.05472e-03  -1.38092e-01
-   4  sg_p3        1.40621e+00   6.35546e-02   1.81513e-03   1.01686e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.116e-01 -9.726e-03  2.331e-03 -5.579e-03 
- -9.726e-03  8.360e-02  5.845e-03  7.576e-03 
-  2.331e-03  5.845e-03  3.183e-03  5.099e-04 
- -5.579e-03  7.576e-03  5.099e-04  4.040e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31288   1.000 -0.101  0.124 -0.263
-        2  0.51335  -0.101  1.000  0.358  0.412
-        3  0.39415   0.124  0.358  1.000  0.142
-        4  0.46956  -0.263  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM HESSE     STATUS=OK             23 CALLS         186 TOTAL
-                     EDM=1.96909e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08678e+02   3.34135e-01   2.32851e-04   1.47652e-01
-   2  sg_p1        1.83420e+01   2.89586e-01   1.20963e-04   1.12504e-01
-   3  sg_p2        1.48991e+00   5.64735e-02   4.10945e-04  -4.15923e-01
-   4  sg_p3        1.40621e+00   6.36376e-02   7.26053e-05  -6.41285e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.117e-01 -9.856e-03  2.338e-03 -5.606e-03 
- -9.856e-03  8.390e-02  5.896e-03  7.643e-03 
-  2.338e-03  5.896e-03  3.190e-03  5.173e-04 
- -5.606e-03  7.643e-03  5.173e-04  4.050e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31411   1.000 -0.102  0.124 -0.264
-        2  0.51594  -0.102  1.000  0.360  0.415
-        3  0.39639   0.124  0.360  1.000  0.144
-        4  0.47171  -0.264  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.678 +- 0.334135
-18.342 +- 0.289586
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19781.5 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.94070e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.71988e+01
-   3  sg_p2        1.17009e+00   5.00000e-01   0.00000e+00  -7.70001e-01
-   4  sg_p3        1.45286e+00   7.00000e-01  -6.24753e-01  -3.36178e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=4.57234e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08706e+02   3.13081e-01   1.16661e-03   7.50814e-02
-   2  sg_p1        1.83713e+01   2.71251e-01   3.02919e-03   4.52649e-02
-   3  sg_p2        1.48521e+00   5.25283e-02   2.04671e-03  -2.57882e-02
-   4  sg_p3        1.40613e+00   5.94897e-02   1.81550e-03   4.82439e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.802e-02 -8.423e-03  2.056e-03 -4.882e-03 
- -8.423e-03  7.361e-02  5.131e-03  6.652e-03 
-  2.056e-03  5.131e-03  2.760e-03  4.464e-04 
- -4.882e-03  6.652e-03  4.464e-04  3.540e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31292   1.000 -0.099  0.125 -0.262
-        2  0.51406  -0.099  1.000  0.360  0.412
-        3  0.39608   0.125  0.360  1.000  0.143
-        4  0.46939  -0.262  0.412  0.143  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=4.58525e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08706e+02   3.13220e-01   2.33322e-04   1.48803e-01
-   2  sg_p1        1.83713e+01   2.71761e-01   1.21167e-04   1.16438e-01
-   3  sg_p2        1.48521e+00   5.25885e-02   8.18685e-05  -4.17982e-01
-   4  sg_p3        1.40613e+00   5.95681e-02   7.26199e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.811e-02 -8.532e-03  2.065e-03 -4.905e-03 
- -8.532e-03  7.389e-02  5.178e-03  6.711e-03 
-  2.065e-03  5.178e-03  2.766e-03  4.531e-04 
- -4.905e-03  6.711e-03  4.531e-04  3.549e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.100  0.125 -0.263
-        2  0.51674  -0.100  1.000  0.362  0.414
-        3  0.39850   0.125  0.362  1.000  0.145
-        4  0.47156  -0.263  0.414  0.145  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.706 +- 0.31322
-18.3713 +- 0.271761
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 608.692 +- 0.323426 (stat) - 1.28478 + 1.14244 (syst); -1.29492/+1.15383 (total)
-   Uncertainty on sg_p1 = 18.3569 +- 0.280464 (stat) - 0.645303 + 0.114761 (syst); -0.660364/+0.181204 (total)
-   Uncertainty on sg_p2 = 1.48767 +- 0.0544911 (stat) - 0.0790904 + 0.00919321 (syst); -0.0836517/+0.0287548 (total)
-   Uncertainty on sg_p3 = 1.40613 +- 0.0615475 (stat) - 0.0589742 + 8.24765e-05 (syst); -0.0665205/+0.0307738 (total)
-   === Baseline plot === </br>
-   norm = 150.798
-JEC     lnN   1.02779  -
-JER     lnN   1.01328  -
-btag    lnN   1.06702  -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt
deleted file mode 100644
index ebbf8ba..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.4471 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06923    -
-JER       lnN     1.01174   - 
-JEC       lnN     1.021   -
-trigger   lnN     1.10    -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_crystal_1_550_1200/signal650_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_crystal_1_550_1200/signal650_sig.log
deleted file mode 100644
index f094607..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_crystal_1_550_1200/signal650_sig.log
+++ /dev/null
@@ -1,1006 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11612.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -5.60818e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.83799e+01
-   3  sg_p2        1.51156e+00   5.00000e-01   0.00000e+00   4.45918e-01
-   4  sg_p3        1.65144e+00   7.00000e-01  -5.56433e-01   1.01665e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.07974 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         322 TOTAL
-                     EDM=0.104656    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41163e+02   7.06029e-01   1.74995e-03  -3.76296e-02
-   2  sg_p1        3.38688e+01   5.23325e-01   4.21353e-03   4.07382e-02
-   3  sg_p2        3.61832e+00   1.16199e+00   5.00000e-01  -8.37095e-01
-   4  sg_p3        2.97717e+00   1.74320e+00   3.82781e-02  -1.08231e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11585.6 FROM MIGRAD    STATUS=CONVERGED     333 CALLS         334 TOTAL
-                     EDM=3.51417e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41164e+02   7.06029e-01   2.17492e-05  -2.69889e-03
-   2  sg_p1        3.38675e+01   5.23355e-01  -1.32565e-04   1.94685e-03
-   3  sg_p2        4.13673e+00   9.85565e-01   2.50000e-01  -6.51974e-03
-   4  sg_p3        2.98762e+00   1.74432e+00   3.01848e-03  -1.43731e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.029e-03  1.165e-04  1.304e-03 
- -5.029e-03  2.742e-01 -1.478e-04 -1.655e-03 
-  1.165e-04 -1.478e-04  1.075e+00  3.155e-02 
-  1.304e-03 -1.655e-03  3.155e-02  3.342e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01364   1.000 -0.014  0.000  0.001
-        2  0.01371  -0.014  1.000 -0.000 -0.002
-        3  0.01665   0.000 -0.000  1.000  0.017
-        4  0.01677   0.001 -0.002  0.017  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         361 TOTAL
-                     EDM=0.00163365    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.41164e+02   7.06040e-01   1.75058e-03   3.88127e-02
-   2  sg_p1        3.38675e+01   5.23398e-01   1.68541e-03   3.97108e-01
-   3  sg_p2        4.13673e+00   2.58234e+00   5.00000e-01   7.13776e-01
-   4  sg_p3        2.98762e+00   2.30843e+00   1.53112e-02  -1.46921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.100e-03  8.651e-11  1.748e-04 
- -5.100e-03  2.742e-01 -4.651e-09 -1.792e-06 
-  8.651e-11 -4.651e-09  1.369e+02  3.040e-14 
-  1.748e-04 -1.792e-06  3.040e-14  6.385e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01379   1.000 -0.014  0.000  0.000
-        2  0.01379  -0.014  1.000 -0.000 -0.000
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.00010   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-641.164 +- 0.70604
-33.8675 +- 0.523398
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11904.9 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -1.02677e+02
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.17543e+01
-   3  sg_p2        1.12614e+00   5.00000e-01  -5.81819e-01   2.25140e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.65465e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11868.8 FROM HESSE     STATUS=OK             23 CALLS         155 TOTAL
-                     EDM=1.60817    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44838e+02   7.48080e-01   1.83180e-03   5.58516e+00
-   2  sg_p1        3.44259e+01   5.95973e-01   5.44743e-03  -4.45013e+00
-   3  sg_p2        2.01408e+00   1.75526e-01   9.79574e-03  -1.65119e+01
-   4  sg_p3        3.37744e+00   1.00364e+00   5.00000e-01   3.60429e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   6.16255e-03
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03  -9.30316e-04
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02  -2.32163e-02
-   4  sg_p3        5.67282e+00   1.35691e+00  -0.00000e+00   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM HESSE     STATUS=FAILED          9 CALLS         289 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   1.61714e-01
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03   4.84601e-01
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02   2.38245e-01
-   4  sg_p3        6.72231e+00   1.35691e+00  -0.00000e+00   2.47182e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-644.83 +- 0.716643
-34.6586 +- 0.534936
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11362.2 FROM MIGRAD    STATUS=INITIATE      104 CALLS         105 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00   7.10893e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -1.05256e+02
-   3  sg_p2        1.85778e+00   5.00000e-01   0.00000e+00   7.21734e-01
-   4  sg_p3        1.67742e+00   7.00000e-01  -5.47714e-01   2.76085e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=7.99199e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.38708e+02   7.08102e-01   1.73490e-03   8.50047e-02
-   2  sg_p1        3.35052e+01   5.28951e-01   4.14123e-03  -3.90699e-02
-   3  sg_p2        2.94947e+00   9.95349e-01   2.87844e-02   1.61687e-02
-   4  sg_p3        2.32505e+00   3.50639e-01   7.88914e-03   4.91799e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.015e-01 -1.242e-02  4.478e-03 -8.703e-03 
- -1.242e-02  2.801e-01  6.824e-03  9.967e-03 
-  4.478e-03  6.824e-03  1.050e+00  2.470e-04 
- -8.703e-03  9.967e-03  2.470e-04  1.234e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.04741   1.000 -0.033  0.006 -0.035
-        2  0.06336  -0.033  1.000  0.013  0.054
-        3  0.01421   0.006  0.013  1.000  0.001
-        4  0.06307  -0.035  0.054  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM HESSE     STATUS=OK             27 CALLS         256 TOTAL
-                     EDM=9.40062e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.38708e+02   7.08265e-01   3.46979e-04  -4.30894e-02
-   2  sg_p1        3.35052e+01   5.29379e-01   1.65649e-04   3.58121e-01
-   3  sg_p2        2.94947e+00   1.13847e+00   1.17440e-01   1.80769e-01
-   4  sg_p3        2.32505e+00   3.50890e-01   3.15565e-04  -3.42349e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.017e-01 -1.287e-02  1.066e-02 -9.624e-03 
- -1.287e-02  2.805e-01  1.877e-02  1.130e-02 
-  1.066e-02  1.877e-02  1.401e+00  6.030e-04 
- -9.624e-03  1.130e-02  6.030e-04  1.236e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05204   1.000 -0.034  0.013 -0.039
-        2  0.07498  -0.034  1.000  0.030  0.061
-        3  0.03295   0.013  0.030  1.000  0.001
-        4  0.07086  -0.039  0.061  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-638.708 +- 0.708265
-33.5052 +- 0.529379
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10721.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.43808e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.21270e+01
-   3  sg_p2        7.95726e-01   5.00000e-01   0.00000e+00  -2.45454e+02
-   4  sg_p3        1.33597e+00   7.00000e-01  -6.66570e-01   4.99104e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM MIGRAD    STATUS=CONVERGED     213 CALLS         214 TOTAL
-                     EDM=1.33202e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61215e+02   1.25169e+00   1.34687e-03   3.04499e-03
-   2  sg_p1        1.89981e+01   1.55542e+00   3.49164e-03   1.91712e-04
-   3  sg_p2        1.45525e+00   1.90355e-01   2.29593e-03  -6.77581e-03
-   4  sg_p3        1.13503e+00   2.26730e-01   1.46146e-03   4.83701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.568e+00 -1.781e+00 -1.994e-01 -2.643e-01 
- -1.781e+00  2.456e+00  2.755e-01  3.428e-01 
- -1.994e-01  2.755e-01  3.632e-02  3.869e-02 
- -2.643e-01  3.428e-01  3.869e-02  5.154e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.93090   1.000 -0.907 -0.835 -0.930
-        2  0.97333  -0.907  1.000  0.922  0.963
-        3  0.92278  -0.835  0.922  1.000  0.894
-        4  0.97249  -0.930  0.963  0.894  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM HESSE     STATUS=OK             23 CALLS         237 TOTAL
-                     EDM=4.47094e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61215e+02   7.20486e-01   5.38748e-05   2.51223e-01
-   2  sg_p1        1.89981e+01   8.37759e-01   1.39666e-04   2.01106e-01
-   3  sg_p2        1.45525e+00   1.05708e-01   9.18371e-05  -4.31134e-01
-   4  sg_p3        1.13503e+00   1.24010e-01   5.84582e-05  -7.41920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.193e-01 -3.889e-01 -2.078e-02 -6.678e-02 
- -3.889e-01  7.049e-01  6.093e-02  9.065e-02 
- -2.078e-02  6.093e-02  1.118e-02  7.399e-03 
- -6.678e-02  9.065e-02  7.399e-03  1.539e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77269   1.000 -0.643 -0.273 -0.747
-        2  0.90365  -0.643  1.000  0.686  0.870
-        3  0.72233  -0.273  0.686  1.000  0.564
-        4  0.90460  -0.747  0.870  0.564  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.215 +- 0.720486
-18.9981 +- 0.837759
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10990.4 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -5.27265e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -9.02997e+01
-   3  sg_p2        9.67628e-01   5.00000e-01   0.00000e+00   1.90034e+02
-   4  sg_p3        1.53208e+00   7.00000e-01  -5.97119e-01   9.04631e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM MIGRAD    STATUS=CONVERGED     170 CALLS         171 TOTAL
-                     EDM=0.000119297    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.62487e+02   5.44568e-01   1.37103e-03   3.37887e-01
-   2  sg_p1        1.91861e+01   6.48831e-01   3.54018e-03   5.42529e-02
-   3  sg_p2        1.42329e+00   1.09535e-01   2.32356e-03  -1.51053e-01
-   4  sg_p3        1.14846e+00   8.06823e-02   1.37891e-03  -1.67722e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.966e-01 -7.261e-02  6.903e-03 -1.862e-02 
- -7.261e-02  4.221e-01  4.896e-02  3.840e-02 
-  6.903e-03  4.896e-02  1.201e-02  4.066e-03 
- -1.862e-02  3.840e-02  4.066e-03  6.512e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55262   1.000 -0.205  0.116 -0.424
-        2  0.83317  -0.205  1.000  0.688  0.732
-        3  0.73763   0.116  0.688  1.000  0.460
-        4  0.78506  -0.424  0.732  0.460  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM HESSE     STATUS=OK             23 CALLS         194 TOTAL
-                     EDM=0.000109915    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.62487e+02   5.36215e-01   2.74206e-04   3.04165e-01
-   2  sg_p1        1.91861e+01   6.18928e-01   7.08036e-04   2.26745e-01
-   3  sg_p2        1.42329e+00   1.07941e-01   4.64712e-04  -4.45250e-01
-   4  sg_p3        1.14846e+00   7.57926e-02   5.51562e-05  -7.36728e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.876e-01 -5.330e-02  8.935e-03 -1.590e-02 
- -5.330e-02  3.840e-01  4.525e-02  3.283e-02 
-  8.935e-03  4.525e-02  1.166e-02  3.512e-03 
- -1.590e-02  3.283e-02  3.512e-03  5.746e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53288   1.000 -0.160  0.154 -0.391
-        2  0.81480  -0.160  1.000  0.676  0.699
-        3  0.72837   0.154  0.676  1.000  0.429
-        4  0.75539  -0.391  0.699  0.429  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-662.487 +- 0.536215
-19.1861 +- 0.618928
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10453.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.71248e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.97336e+01
-   3  sg_p2        1.05577e+00   5.00000e-01   0.00000e+00   6.59080e+01
-   4  sg_p3        1.28275e+00   7.00000e-01  -6.86067e-01   1.15714e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1 added to diagonal of error matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00026 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0624e+00  1.0038e+00  2.0034e+00  2.0551e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.064428 TO DIAGONAL.
- FCN=10417.7 FROM HESSE     STATUS=NOT POSDEF     31 CALLS         501 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01   1.00195e-04  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00   3.48397e-03  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02   1.91254e-04   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02   8.43062e-05  -1.60765e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10417.7 FROM MIGRAD    STATUS=FAILED        511 CALLS         512 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01  -0.00000e+00  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00  -0.00000e+00  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02  -0.00000e+00   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02  -0.00000e+00  -1.60765e+03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.806e-02  1.899e-01  3.204e-03  1.613e-03 
-  1.899e-01  2.061e+00  3.377e-02  1.698e-02 
-  3.204e-03  3.377e-02  5.709e-04  2.868e-04 
-  1.613e-03  1.698e-02  2.868e-04  1.447e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000  0.984  0.998  0.998
-        2  0.98497   0.984  1.000  0.984  0.983
-        3  0.99849   0.998  0.984  1.000  0.998
-        4  0.99838   0.998  0.983  0.998  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10417.7 FROM HESSE     STATUS=OK             53 CALLS         565 TOTAL
-                     EDM=36.107    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.59286e+02   4.94375e-01   4.11775e-02   1.72285e-01
-   2  sg_p1        1.95932e+01   4.96180e-01   1.39359e-04   2.82846e-01
-   3  sg_p2        1.48285e+00   9.77917e-02   7.54293e-02  -4.19013e-01
-   4  sg_p3        1.30319e+00   7.96802e-02   5.20393e-02  -6.78543e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.444e-01  2.547e-03  1.237e-02 -9.665e-03 
-  2.547e-03  2.466e-01  2.750e-02  2.146e-02 
-  1.237e-02  2.750e-02  9.569e-03  2.078e-03 
- -9.665e-03  2.146e-02  2.078e-03  6.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41374   1.000  0.010  0.256 -0.245
-        2  0.69659   0.010  1.000  0.566  0.542
-        3  0.61938   0.256  0.566  1.000  0.267
-        4  0.59812  -0.245  0.542  0.267  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-659.286 +- 0.494375
-19.5932 +- 0.49618
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10619.9 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.21165e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.34414e+00
-   3  sg_p2        9.15926e-01   5.00000e-01   0.00000e+00   4.72583e+01
-   4  sg_p3        1.18271e+00   7.00000e-01  -7.23594e-01  -8.98084e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=7.5268e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61397e+02   5.44897e-01   1.34246e-03   4.14273e-01
-   2  sg_p1        1.90727e+01   5.64070e-01   3.46865e-03  -1.30068e-03
-   3  sg_p2        1.41469e+00   8.73074e-02   2.15873e-03   1.72287e-02
-   4  sg_p3        1.12865e+00   7.39900e-02   1.34213e-03   2.26005e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.970e-01 -9.007e-02  2.908e-03 -1.929e-02 
- -9.007e-02  3.188e-01  2.788e-02  2.852e-02 
-  2.908e-03  2.788e-02  7.626e-03  2.278e-03 
- -1.929e-02  2.852e-02  2.278e-03  5.476e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54360   1.000 -0.293  0.061 -0.478
-        2  0.76817  -0.293  1.000  0.566  0.683
-        3  0.61547   0.061  0.566  1.000  0.353
-        4  0.74345  -0.478  0.683  0.353  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM HESSE     STATUS=OK             23 CALLS         205 TOTAL
-                     EDM=7.54443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61397e+02   5.45454e-01   2.68492e-04   2.58749e-01
-   2  sg_p1        1.90727e+01   5.66991e-01   1.38746e-04   2.11267e-01
-   3  sg_p2        1.41469e+00   8.76116e-02   8.63490e-05  -4.49065e-01
-   4  sg_p3        1.12865e+00   7.42730e-02   2.68425e-04  -7.44396e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.976e-01 -9.125e-02  2.820e-03 -1.942e-02 
- -9.125e-02  3.221e-01  2.831e-02  2.890e-02 
-  2.820e-03  2.831e-02  7.680e-03  2.324e-03 
- -1.942e-02  2.890e-02  2.324e-03  5.518e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54492   1.000 -0.295  0.059 -0.479
-        2  0.77092  -0.295  1.000  0.569  0.685
-        3  0.61896   0.059  0.569  1.000  0.357
-        4  0.74573  -0.479  0.685  0.357  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.397 +- 0.545454
-19.0727 +- 0.566991
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10830.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.44740e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -4.26729e+01
-   3  sg_p2        1.00225e+00   5.00000e-01   0.00000e+00   7.37985e+01
-   4  sg_p3        1.39341e+00   7.00000e-01  -6.45856e-01   4.14284e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=5.54438e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61183e+02   5.58601e-01   1.30703e-03   7.27339e-02
-   2  sg_p1        1.87556e+01   6.26067e-01   3.36619e-03   1.16170e-01
-   3  sg_p2        1.45666e+00   9.85527e-02   2.30722e-03  -2.01954e-01
-   4  sg_p3        1.14103e+00   8.65798e-02   1.35416e-03  -1.57200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.121e-01 -1.357e-01 -1.260e-03 -2.677e-02 
- -1.357e-01  3.929e-01  3.854e-02  4.159e-02 
- -1.260e-03  3.854e-02  9.719e-03  3.757e-03 
- -2.677e-02  4.159e-02  3.757e-03  7.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.61009   1.000 -0.388 -0.023 -0.553
-        2  0.83171  -0.388  1.000  0.624  0.766
-        3  0.66919  -0.023  0.624  1.000  0.440
-        4  0.81600  -0.553  0.766  0.440  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM HESSE     STATUS=OK             23 CALLS         182 TOTAL
-                     EDM=5.46307e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61183e+02   5.24911e-01   5.22814e-05   2.49922e-01
-   2  sg_p1        1.87556e+01   5.52841e-01   6.73237e-04   1.68209e-01
-   3  sg_p2        1.45666e+00   9.52773e-02   4.61444e-04  -4.30514e-01
-   4  sg_p3        1.14103e+00   7.38096e-02   5.41663e-05  -7.39598e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -7.938e-02  3.701e-03 -1.800e-02 
- -7.938e-02  3.062e-01  3.107e-02  2.800e-02 
-  3.701e-03  3.107e-02  9.083e-03  2.581e-03 
- -1.800e-02  2.800e-02  2.581e-03  5.449e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53953   1.000 -0.273  0.074 -0.465
-        2  0.77793  -0.273  1.000  0.589  0.686
-        3  0.63966   0.074  0.589  1.000  0.367
-        4  0.74489  -0.465  0.686  0.367  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.183 +- 0.524911
-18.7556 +- 0.552841
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9992.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.62893e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -5.90807e+01
-   3  sg_p2        9.83939e-01   5.00000e-01   0.00000e+00   6.33616e+01
-   4  sg_p3        1.46565e+00   7.00000e-01  -6.20255e-01   8.16516e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM MIGRAD    STATUS=CONVERGED     169 CALLS         170 TOTAL
-                     EDM=0.000159227    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61178e+02   7.39572e-01   1.34451e-03  -1.70686e-01
-   2  sg_p1        1.89964e+01   8.67158e-01   3.47868e-03   7.20693e-02
-   3  sg_p2        1.45598e+00   1.10743e-01   2.29383e-03  -2.60727e-02
-   4  sg_p3        1.13815e+00   1.28466e-01   1.46277e-03  -4.42263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.471e-01 -4.069e-01 -2.161e-02 -7.041e-02 
- -4.069e-01  7.555e-01  6.659e-02  9.706e-02 
- -2.161e-02  6.659e-02  1.227e-02  8.055e-03 
- -7.041e-02  9.706e-02  8.055e-03  1.652e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.76850   1.000 -0.633 -0.264 -0.741
-        2  0.90376  -0.633  1.000  0.692  0.869
-        3  0.72860  -0.264  0.692  1.000  0.566
-        4  0.90364  -0.741  0.869  0.566  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM HESSE     STATUS=OK             23 CALLS         193 TOTAL
-                     EDM=0.000158903    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61178e+02   7.43466e-01   2.68901e-04   2.49690e-01
-   2  sg_p1        1.89964e+01   8.64124e-01   6.95735e-04   2.00873e-01
-   3  sg_p2        1.45598e+00   1.09398e-01   9.17533e-05  -4.30811e-01
-   4  sg_p3        1.13815e+00   1.28692e-01   2.92554e-04  -7.40712e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.529e-01 -4.125e-01 -2.195e-02 -7.136e-02 
- -4.125e-01  7.502e-01  6.495e-02  9.696e-02 
- -2.195e-02  6.495e-02  1.198e-02  7.923e-03 
- -7.136e-02  9.696e-02  7.923e-03  1.658e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77128   1.000 -0.641 -0.270 -0.745
-        2  0.90304  -0.641  1.000  0.685  0.870
-        3  0.72136  -0.270  0.685  1.000  0.562
-        4  0.90400  -0.745  0.870  0.562  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.178 +- 0.743466
-18.9964 +- 0.864124
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11483.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.74697e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.72491e+01
-   3  sg_p2        7.99758e-01   5.00000e-01   0.00000e+00  -2.45884e+02
-   4  sg_p3        1.30853e+00   7.00000e-01  -6.76585e-01   3.62491e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11413.9 FROM HESSE     STATUS=OK             31 CALLS         214 TOTAL
-                     EDM=0.000179347    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61256e+02   8.07788e-01   1.02475e-03   4.77630e-01
-   2  sg_p1        1.89964e+01   1.08091e+00   3.49772e-03   1.37583e-01
-   3  sg_p2        1.45364e+00   1.98903e-01   2.28196e-03  -3.12364e-01
-   4  sg_p3        1.13104e+00   1.04915e-01   1.45795e-03   2.20302e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11413.9 FROM MIGRAD    STATUS=CONVERGED     223 CALLS         224 TOTAL
-                     EDM=4.35241e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61254e+02   3.21033e-01  -6.85513e-05   2.09409e-01
-   2  sg_p1        1.89941e+01   4.43174e-01  -3.15216e-04   9.14503e-02
-   3  sg_p2        1.45327e+00   7.44907e-02  -1.59636e-04  -3.27444e-01
-   4  sg_p3        1.13082e+00   4.34031e-02  -8.50837e-05   8.12827e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.031e-01  3.647e-02  1.175e-02  3.896e-03 
-  3.647e-02  1.966e-01  1.850e-02  1.029e-02 
-  1.175e-02  1.850e-02  5.551e-03  1.469e-03 
-  3.896e-03  1.029e-02  1.469e-03  1.884e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49775   1.000  0.256  0.491  0.280
-        2  0.64400   0.256  1.000  0.560  0.535
-        3  0.67669   0.491  0.560  1.000  0.454
-        4  0.57117   0.280  0.535  0.454  1.000
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.6515e+00  2.2931e-01  1.6841e+00  6.7381e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 4.658200 TO DIAGONAL.
- FCN=11413.9 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         249 TOTAL
-                     EDM=0.0178461    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61254e+02   3.25109e+00   4.09899e-04   2.52855e-01
-   2  sg_p1        1.89941e+01   1.45159e+00   1.39909e-03   2.00554e-01
-   3  sg_p2        1.45327e+00   6.02184e-01   9.12783e-04  -4.32003e-01
-   4  sg_p3        1.13082e+00   2.35099e-02   5.83181e-04  -7.43554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.063e+01  4.733e+00 -1.984e+00 -3.774e-02 
-  4.733e+00  2.135e+00 -8.861e-01 -1.641e-02 
- -1.984e+00 -8.861e-01  3.715e-01  7.009e-03 
- -3.774e-02 -1.641e-02  7.009e-03  5.527e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99842   1.000  0.993 -0.998 -0.492
-        2  0.99509   0.993  1.000 -0.995 -0.478
-        3  0.99882  -0.998 -0.995  1.000  0.489
-        4  0.50219  -0.492 -0.478  0.489  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.254 +- 3.25109
-18.9941 +- 1.45159
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 661.215 +- 0.720486 (stat) - 1.92885 + 1.27271 (syst); -1.96221/+1.32271 (total)
-   Uncertainty on sg_p1 = 18.9981 +- 0.837759 (stat) - 0.242524 + 0.595022 (syst); -0.484023/+0.727675 (total)
-   Uncertainty on sg_p2 = 1.45525 +- 0.105708 (stat) - 0.0405567 + 0.0276059 (syst); -0.0666212/+0.0596291 (total)
-   Uncertainty on sg_p3 = 1.13503 +- 0.12401 (stat) - 0.00638242 + 0.168157 (syst); -0.0623326/+0.179225 (total)
-   === Baseline plot === </br>
-   norm = 172.355
-JEC     lnN   1.021  -
-JER     lnN   1.01174  -
-btag    lnN   1.06923  -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
deleted file mode 100644
index 94c489c..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.4471 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06923    -
-JER       lnN     1.01174   - 
-JEC       lnN     1.021   -
-trigger   lnN     1.10    -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_novo_550_1200/signal650_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_novo_550_1200/signal650_sig.log
deleted file mode 100644
index f094607..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_650_novo_550_1200/signal650_sig.log
+++ /dev/null
@@ -1,1006 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11612.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -5.60818e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.83799e+01
-   3  sg_p2        1.51156e+00   5.00000e-01   0.00000e+00   4.45918e-01
-   4  sg_p3        1.65144e+00   7.00000e-01  -5.56433e-01   1.01665e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.07974 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         322 TOTAL
-                     EDM=0.104656    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41163e+02   7.06029e-01   1.74995e-03  -3.76296e-02
-   2  sg_p1        3.38688e+01   5.23325e-01   4.21353e-03   4.07382e-02
-   3  sg_p2        3.61832e+00   1.16199e+00   5.00000e-01  -8.37095e-01
-   4  sg_p3        2.97717e+00   1.74320e+00   3.82781e-02  -1.08231e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11585.6 FROM MIGRAD    STATUS=CONVERGED     333 CALLS         334 TOTAL
-                     EDM=3.51417e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41164e+02   7.06029e-01   2.17492e-05  -2.69889e-03
-   2  sg_p1        3.38675e+01   5.23355e-01  -1.32565e-04   1.94685e-03
-   3  sg_p2        4.13673e+00   9.85565e-01   2.50000e-01  -6.51974e-03
-   4  sg_p3        2.98762e+00   1.74432e+00   3.01848e-03  -1.43731e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.029e-03  1.165e-04  1.304e-03 
- -5.029e-03  2.742e-01 -1.478e-04 -1.655e-03 
-  1.165e-04 -1.478e-04  1.075e+00  3.155e-02 
-  1.304e-03 -1.655e-03  3.155e-02  3.342e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01364   1.000 -0.014  0.000  0.001
-        2  0.01371  -0.014  1.000 -0.000 -0.002
-        3  0.01665   0.000 -0.000  1.000  0.017
-        4  0.01677   0.001 -0.002  0.017  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         361 TOTAL
-                     EDM=0.00163365    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.41164e+02   7.06040e-01   1.75058e-03   3.88127e-02
-   2  sg_p1        3.38675e+01   5.23398e-01   1.68541e-03   3.97108e-01
-   3  sg_p2        4.13673e+00   2.58234e+00   5.00000e-01   7.13776e-01
-   4  sg_p3        2.98762e+00   2.30843e+00   1.53112e-02  -1.46921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.100e-03  8.651e-11  1.748e-04 
- -5.100e-03  2.742e-01 -4.651e-09 -1.792e-06 
-  8.651e-11 -4.651e-09  1.369e+02  3.040e-14 
-  1.748e-04 -1.792e-06  3.040e-14  6.385e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01379   1.000 -0.014  0.000  0.000
-        2  0.01379  -0.014  1.000 -0.000 -0.000
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.00010   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-641.164 +- 0.70604
-33.8675 +- 0.523398
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11904.9 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -1.02677e+02
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.17543e+01
-   3  sg_p2        1.12614e+00   5.00000e-01  -5.81819e-01   2.25140e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.65465e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11868.8 FROM HESSE     STATUS=OK             23 CALLS         155 TOTAL
-                     EDM=1.60817    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44838e+02   7.48080e-01   1.83180e-03   5.58516e+00
-   2  sg_p1        3.44259e+01   5.95973e-01   5.44743e-03  -4.45013e+00
-   3  sg_p2        2.01408e+00   1.75526e-01   9.79574e-03  -1.65119e+01
-   4  sg_p3        3.37744e+00   1.00364e+00   5.00000e-01   3.60429e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   6.16255e-03
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03  -9.30316e-04
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02  -2.32163e-02
-   4  sg_p3        5.67282e+00   1.35691e+00  -0.00000e+00   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM HESSE     STATUS=FAILED          9 CALLS         289 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   1.61714e-01
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03   4.84601e-01
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02   2.38245e-01
-   4  sg_p3        6.72231e+00   1.35691e+00  -0.00000e+00   2.47182e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-644.83 +- 0.716643
-34.6586 +- 0.534936
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11362.2 FROM MIGRAD    STATUS=INITIATE      104 CALLS         105 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00   7.10893e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -1.05256e+02
-   3  sg_p2        1.85778e+00   5.00000e-01   0.00000e+00   7.21734e-01
-   4  sg_p3        1.67742e+00   7.00000e-01  -5.47714e-01   2.76085e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=7.99199e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.38708e+02   7.08102e-01   1.73490e-03   8.50047e-02
-   2  sg_p1        3.35052e+01   5.28951e-01   4.14123e-03  -3.90699e-02
-   3  sg_p2        2.94947e+00   9.95349e-01   2.87844e-02   1.61687e-02
-   4  sg_p3        2.32505e+00   3.50639e-01   7.88914e-03   4.91799e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.015e-01 -1.242e-02  4.478e-03 -8.703e-03 
- -1.242e-02  2.801e-01  6.824e-03  9.967e-03 
-  4.478e-03  6.824e-03  1.050e+00  2.470e-04 
- -8.703e-03  9.967e-03  2.470e-04  1.234e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.04741   1.000 -0.033  0.006 -0.035
-        2  0.06336  -0.033  1.000  0.013  0.054
-        3  0.01421   0.006  0.013  1.000  0.001
-        4  0.06307  -0.035  0.054  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM HESSE     STATUS=OK             27 CALLS         256 TOTAL
-                     EDM=9.40062e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.38708e+02   7.08265e-01   3.46979e-04  -4.30894e-02
-   2  sg_p1        3.35052e+01   5.29379e-01   1.65649e-04   3.58121e-01
-   3  sg_p2        2.94947e+00   1.13847e+00   1.17440e-01   1.80769e-01
-   4  sg_p3        2.32505e+00   3.50890e-01   3.15565e-04  -3.42349e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.017e-01 -1.287e-02  1.066e-02 -9.624e-03 
- -1.287e-02  2.805e-01  1.877e-02  1.130e-02 
-  1.066e-02  1.877e-02  1.401e+00  6.030e-04 
- -9.624e-03  1.130e-02  6.030e-04  1.236e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05204   1.000 -0.034  0.013 -0.039
-        2  0.07498  -0.034  1.000  0.030  0.061
-        3  0.03295   0.013  0.030  1.000  0.001
-        4  0.07086  -0.039  0.061  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-638.708 +- 0.708265
-33.5052 +- 0.529379
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10721.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.43808e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.21270e+01
-   3  sg_p2        7.95726e-01   5.00000e-01   0.00000e+00  -2.45454e+02
-   4  sg_p3        1.33597e+00   7.00000e-01  -6.66570e-01   4.99104e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM MIGRAD    STATUS=CONVERGED     213 CALLS         214 TOTAL
-                     EDM=1.33202e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61215e+02   1.25169e+00   1.34687e-03   3.04499e-03
-   2  sg_p1        1.89981e+01   1.55542e+00   3.49164e-03   1.91712e-04
-   3  sg_p2        1.45525e+00   1.90355e-01   2.29593e-03  -6.77581e-03
-   4  sg_p3        1.13503e+00   2.26730e-01   1.46146e-03   4.83701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.568e+00 -1.781e+00 -1.994e-01 -2.643e-01 
- -1.781e+00  2.456e+00  2.755e-01  3.428e-01 
- -1.994e-01  2.755e-01  3.632e-02  3.869e-02 
- -2.643e-01  3.428e-01  3.869e-02  5.154e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.93090   1.000 -0.907 -0.835 -0.930
-        2  0.97333  -0.907  1.000  0.922  0.963
-        3  0.92278  -0.835  0.922  1.000  0.894
-        4  0.97249  -0.930  0.963  0.894  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM HESSE     STATUS=OK             23 CALLS         237 TOTAL
-                     EDM=4.47094e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61215e+02   7.20486e-01   5.38748e-05   2.51223e-01
-   2  sg_p1        1.89981e+01   8.37759e-01   1.39666e-04   2.01106e-01
-   3  sg_p2        1.45525e+00   1.05708e-01   9.18371e-05  -4.31134e-01
-   4  sg_p3        1.13503e+00   1.24010e-01   5.84582e-05  -7.41920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.193e-01 -3.889e-01 -2.078e-02 -6.678e-02 
- -3.889e-01  7.049e-01  6.093e-02  9.065e-02 
- -2.078e-02  6.093e-02  1.118e-02  7.399e-03 
- -6.678e-02  9.065e-02  7.399e-03  1.539e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77269   1.000 -0.643 -0.273 -0.747
-        2  0.90365  -0.643  1.000  0.686  0.870
-        3  0.72233  -0.273  0.686  1.000  0.564
-        4  0.90460  -0.747  0.870  0.564  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.215 +- 0.720486
-18.9981 +- 0.837759
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10990.4 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -5.27265e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -9.02997e+01
-   3  sg_p2        9.67628e-01   5.00000e-01   0.00000e+00   1.90034e+02
-   4  sg_p3        1.53208e+00   7.00000e-01  -5.97119e-01   9.04631e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM MIGRAD    STATUS=CONVERGED     170 CALLS         171 TOTAL
-                     EDM=0.000119297    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.62487e+02   5.44568e-01   1.37103e-03   3.37887e-01
-   2  sg_p1        1.91861e+01   6.48831e-01   3.54018e-03   5.42529e-02
-   3  sg_p2        1.42329e+00   1.09535e-01   2.32356e-03  -1.51053e-01
-   4  sg_p3        1.14846e+00   8.06823e-02   1.37891e-03  -1.67722e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.966e-01 -7.261e-02  6.903e-03 -1.862e-02 
- -7.261e-02  4.221e-01  4.896e-02  3.840e-02 
-  6.903e-03  4.896e-02  1.201e-02  4.066e-03 
- -1.862e-02  3.840e-02  4.066e-03  6.512e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55262   1.000 -0.205  0.116 -0.424
-        2  0.83317  -0.205  1.000  0.688  0.732
-        3  0.73763   0.116  0.688  1.000  0.460
-        4  0.78506  -0.424  0.732  0.460  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM HESSE     STATUS=OK             23 CALLS         194 TOTAL
-                     EDM=0.000109915    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.62487e+02   5.36215e-01   2.74206e-04   3.04165e-01
-   2  sg_p1        1.91861e+01   6.18928e-01   7.08036e-04   2.26745e-01
-   3  sg_p2        1.42329e+00   1.07941e-01   4.64712e-04  -4.45250e-01
-   4  sg_p3        1.14846e+00   7.57926e-02   5.51562e-05  -7.36728e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.876e-01 -5.330e-02  8.935e-03 -1.590e-02 
- -5.330e-02  3.840e-01  4.525e-02  3.283e-02 
-  8.935e-03  4.525e-02  1.166e-02  3.512e-03 
- -1.590e-02  3.283e-02  3.512e-03  5.746e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53288   1.000 -0.160  0.154 -0.391
-        2  0.81480  -0.160  1.000  0.676  0.699
-        3  0.72837   0.154  0.676  1.000  0.429
-        4  0.75539  -0.391  0.699  0.429  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-662.487 +- 0.536215
-19.1861 +- 0.618928
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10453.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.71248e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.97336e+01
-   3  sg_p2        1.05577e+00   5.00000e-01   0.00000e+00   6.59080e+01
-   4  sg_p3        1.28275e+00   7.00000e-01  -6.86067e-01   1.15714e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1 added to diagonal of error matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00026 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0624e+00  1.0038e+00  2.0034e+00  2.0551e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.064428 TO DIAGONAL.
- FCN=10417.7 FROM HESSE     STATUS=NOT POSDEF     31 CALLS         501 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01   1.00195e-04  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00   3.48397e-03  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02   1.91254e-04   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02   8.43062e-05  -1.60765e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10417.7 FROM MIGRAD    STATUS=FAILED        511 CALLS         512 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01  -0.00000e+00  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00  -0.00000e+00  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02  -0.00000e+00   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02  -0.00000e+00  -1.60765e+03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.806e-02  1.899e-01  3.204e-03  1.613e-03 
-  1.899e-01  2.061e+00  3.377e-02  1.698e-02 
-  3.204e-03  3.377e-02  5.709e-04  2.868e-04 
-  1.613e-03  1.698e-02  2.868e-04  1.447e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000  0.984  0.998  0.998
-        2  0.98497   0.984  1.000  0.984  0.983
-        3  0.99849   0.998  0.984  1.000  0.998
-        4  0.99838   0.998  0.983  0.998  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10417.7 FROM HESSE     STATUS=OK             53 CALLS         565 TOTAL
-                     EDM=36.107    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.59286e+02   4.94375e-01   4.11775e-02   1.72285e-01
-   2  sg_p1        1.95932e+01   4.96180e-01   1.39359e-04   2.82846e-01
-   3  sg_p2        1.48285e+00   9.77917e-02   7.54293e-02  -4.19013e-01
-   4  sg_p3        1.30319e+00   7.96802e-02   5.20393e-02  -6.78543e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.444e-01  2.547e-03  1.237e-02 -9.665e-03 
-  2.547e-03  2.466e-01  2.750e-02  2.146e-02 
-  1.237e-02  2.750e-02  9.569e-03  2.078e-03 
- -9.665e-03  2.146e-02  2.078e-03  6.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41374   1.000  0.010  0.256 -0.245
-        2  0.69659   0.010  1.000  0.566  0.542
-        3  0.61938   0.256  0.566  1.000  0.267
-        4  0.59812  -0.245  0.542  0.267  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-659.286 +- 0.494375
-19.5932 +- 0.49618
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10619.9 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.21165e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.34414e+00
-   3  sg_p2        9.15926e-01   5.00000e-01   0.00000e+00   4.72583e+01
-   4  sg_p3        1.18271e+00   7.00000e-01  -7.23594e-01  -8.98084e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=7.5268e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61397e+02   5.44897e-01   1.34246e-03   4.14273e-01
-   2  sg_p1        1.90727e+01   5.64070e-01   3.46865e-03  -1.30068e-03
-   3  sg_p2        1.41469e+00   8.73074e-02   2.15873e-03   1.72287e-02
-   4  sg_p3        1.12865e+00   7.39900e-02   1.34213e-03   2.26005e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.970e-01 -9.007e-02  2.908e-03 -1.929e-02 
- -9.007e-02  3.188e-01  2.788e-02  2.852e-02 
-  2.908e-03  2.788e-02  7.626e-03  2.278e-03 
- -1.929e-02  2.852e-02  2.278e-03  5.476e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54360   1.000 -0.293  0.061 -0.478
-        2  0.76817  -0.293  1.000  0.566  0.683
-        3  0.61547   0.061  0.566  1.000  0.353
-        4  0.74345  -0.478  0.683  0.353  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM HESSE     STATUS=OK             23 CALLS         205 TOTAL
-                     EDM=7.54443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61397e+02   5.45454e-01   2.68492e-04   2.58749e-01
-   2  sg_p1        1.90727e+01   5.66991e-01   1.38746e-04   2.11267e-01
-   3  sg_p2        1.41469e+00   8.76116e-02   8.63490e-05  -4.49065e-01
-   4  sg_p3        1.12865e+00   7.42730e-02   2.68425e-04  -7.44396e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.976e-01 -9.125e-02  2.820e-03 -1.942e-02 
- -9.125e-02  3.221e-01  2.831e-02  2.890e-02 
-  2.820e-03  2.831e-02  7.680e-03  2.324e-03 
- -1.942e-02  2.890e-02  2.324e-03  5.518e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54492   1.000 -0.295  0.059 -0.479
-        2  0.77092  -0.295  1.000  0.569  0.685
-        3  0.61896   0.059  0.569  1.000  0.357
-        4  0.74573  -0.479  0.685  0.357  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.397 +- 0.545454
-19.0727 +- 0.566991
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10830.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.44740e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -4.26729e+01
-   3  sg_p2        1.00225e+00   5.00000e-01   0.00000e+00   7.37985e+01
-   4  sg_p3        1.39341e+00   7.00000e-01  -6.45856e-01   4.14284e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=5.54438e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61183e+02   5.58601e-01   1.30703e-03   7.27339e-02
-   2  sg_p1        1.87556e+01   6.26067e-01   3.36619e-03   1.16170e-01
-   3  sg_p2        1.45666e+00   9.85527e-02   2.30722e-03  -2.01954e-01
-   4  sg_p3        1.14103e+00   8.65798e-02   1.35416e-03  -1.57200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.121e-01 -1.357e-01 -1.260e-03 -2.677e-02 
- -1.357e-01  3.929e-01  3.854e-02  4.159e-02 
- -1.260e-03  3.854e-02  9.719e-03  3.757e-03 
- -2.677e-02  4.159e-02  3.757e-03  7.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.61009   1.000 -0.388 -0.023 -0.553
-        2  0.83171  -0.388  1.000  0.624  0.766
-        3  0.66919  -0.023  0.624  1.000  0.440
-        4  0.81600  -0.553  0.766  0.440  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM HESSE     STATUS=OK             23 CALLS         182 TOTAL
-                     EDM=5.46307e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61183e+02   5.24911e-01   5.22814e-05   2.49922e-01
-   2  sg_p1        1.87556e+01   5.52841e-01   6.73237e-04   1.68209e-01
-   3  sg_p2        1.45666e+00   9.52773e-02   4.61444e-04  -4.30514e-01
-   4  sg_p3        1.14103e+00   7.38096e-02   5.41663e-05  -7.39598e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -7.938e-02  3.701e-03 -1.800e-02 
- -7.938e-02  3.062e-01  3.107e-02  2.800e-02 
-  3.701e-03  3.107e-02  9.083e-03  2.581e-03 
- -1.800e-02  2.800e-02  2.581e-03  5.449e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53953   1.000 -0.273  0.074 -0.465
-        2  0.77793  -0.273  1.000  0.589  0.686
-        3  0.63966   0.074  0.589  1.000  0.367
-        4  0.74489  -0.465  0.686  0.367  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.183 +- 0.524911
-18.7556 +- 0.552841
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9992.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.62893e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -5.90807e+01
-   3  sg_p2        9.83939e-01   5.00000e-01   0.00000e+00   6.33616e+01
-   4  sg_p3        1.46565e+00   7.00000e-01  -6.20255e-01   8.16516e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM MIGRAD    STATUS=CONVERGED     169 CALLS         170 TOTAL
-                     EDM=0.000159227    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61178e+02   7.39572e-01   1.34451e-03  -1.70686e-01
-   2  sg_p1        1.89964e+01   8.67158e-01   3.47868e-03   7.20693e-02
-   3  sg_p2        1.45598e+00   1.10743e-01   2.29383e-03  -2.60727e-02
-   4  sg_p3        1.13815e+00   1.28466e-01   1.46277e-03  -4.42263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.471e-01 -4.069e-01 -2.161e-02 -7.041e-02 
- -4.069e-01  7.555e-01  6.659e-02  9.706e-02 
- -2.161e-02  6.659e-02  1.227e-02  8.055e-03 
- -7.041e-02  9.706e-02  8.055e-03  1.652e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.76850   1.000 -0.633 -0.264 -0.741
-        2  0.90376  -0.633  1.000  0.692  0.869
-        3  0.72860  -0.264  0.692  1.000  0.566
-        4  0.90364  -0.741  0.869  0.566  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM HESSE     STATUS=OK             23 CALLS         193 TOTAL
-                     EDM=0.000158903    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61178e+02   7.43466e-01   2.68901e-04   2.49690e-01
-   2  sg_p1        1.89964e+01   8.64124e-01   6.95735e-04   2.00873e-01
-   3  sg_p2        1.45598e+00   1.09398e-01   9.17533e-05  -4.30811e-01
-   4  sg_p3        1.13815e+00   1.28692e-01   2.92554e-04  -7.40712e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.529e-01 -4.125e-01 -2.195e-02 -7.136e-02 
- -4.125e-01  7.502e-01  6.495e-02  9.696e-02 
- -2.195e-02  6.495e-02  1.198e-02  7.923e-03 
- -7.136e-02  9.696e-02  7.923e-03  1.658e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77128   1.000 -0.641 -0.270 -0.745
-        2  0.90304  -0.641  1.000  0.685  0.870
-        3  0.72136  -0.270  0.685  1.000  0.562
-        4  0.90400  -0.745  0.870  0.562  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.178 +- 0.743466
-18.9964 +- 0.864124
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11483.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.74697e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.72491e+01
-   3  sg_p2        7.99758e-01   5.00000e-01   0.00000e+00  -2.45884e+02
-   4  sg_p3        1.30853e+00   7.00000e-01  -6.76585e-01   3.62491e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11413.9 FROM HESSE     STATUS=OK             31 CALLS         214 TOTAL
-                     EDM=0.000179347    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61256e+02   8.07788e-01   1.02475e-03   4.77630e-01
-   2  sg_p1        1.89964e+01   1.08091e+00   3.49772e-03   1.37583e-01
-   3  sg_p2        1.45364e+00   1.98903e-01   2.28196e-03  -3.12364e-01
-   4  sg_p3        1.13104e+00   1.04915e-01   1.45795e-03   2.20302e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11413.9 FROM MIGRAD    STATUS=CONVERGED     223 CALLS         224 TOTAL
-                     EDM=4.35241e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61254e+02   3.21033e-01  -6.85513e-05   2.09409e-01
-   2  sg_p1        1.89941e+01   4.43174e-01  -3.15216e-04   9.14503e-02
-   3  sg_p2        1.45327e+00   7.44907e-02  -1.59636e-04  -3.27444e-01
-   4  sg_p3        1.13082e+00   4.34031e-02  -8.50837e-05   8.12827e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.031e-01  3.647e-02  1.175e-02  3.896e-03 
-  3.647e-02  1.966e-01  1.850e-02  1.029e-02 
-  1.175e-02  1.850e-02  5.551e-03  1.469e-03 
-  3.896e-03  1.029e-02  1.469e-03  1.884e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49775   1.000  0.256  0.491  0.280
-        2  0.64400   0.256  1.000  0.560  0.535
-        3  0.67669   0.491  0.560  1.000  0.454
-        4  0.57117   0.280  0.535  0.454  1.000
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.6515e+00  2.2931e-01  1.6841e+00  6.7381e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 4.658200 TO DIAGONAL.
- FCN=11413.9 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         249 TOTAL
-                     EDM=0.0178461    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61254e+02   3.25109e+00   4.09899e-04   2.52855e-01
-   2  sg_p1        1.89941e+01   1.45159e+00   1.39909e-03   2.00554e-01
-   3  sg_p2        1.45327e+00   6.02184e-01   9.12783e-04  -4.32003e-01
-   4  sg_p3        1.13082e+00   2.35099e-02   5.83181e-04  -7.43554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.063e+01  4.733e+00 -1.984e+00 -3.774e-02 
-  4.733e+00  2.135e+00 -8.861e-01 -1.641e-02 
- -1.984e+00 -8.861e-01  3.715e-01  7.009e-03 
- -3.774e-02 -1.641e-02  7.009e-03  5.527e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99842   1.000  0.993 -0.998 -0.492
-        2  0.99509   0.993  1.000 -0.995 -0.478
-        3  0.99882  -0.998 -0.995  1.000  0.489
-        4  0.50219  -0.492 -0.478  0.489  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.254 +- 3.25109
-18.9941 +- 1.45159
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 661.215 +- 0.720486 (stat) - 1.92885 + 1.27271 (syst); -1.96221/+1.32271 (total)
-   Uncertainty on sg_p1 = 18.9981 +- 0.837759 (stat) - 0.242524 + 0.595022 (syst); -0.484023/+0.727675 (total)
-   Uncertainty on sg_p2 = 1.45525 +- 0.105708 (stat) - 0.0405567 + 0.0276059 (syst); -0.0666212/+0.0596291 (total)
-   Uncertainty on sg_p3 = 1.13503 +- 0.12401 (stat) - 0.00638242 + 0.168157 (syst); -0.0623326/+0.179225 (total)
-   === Baseline plot === </br>
-   norm = 172.355
-JEC     lnN   1.021  -
-JER     lnN   1.01174  -
-btag    lnN   1.06923  -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt
deleted file mode 100644
index c484fa9..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.13008 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07417    -
-JER       lnN     1.01351   - 
-JEC       lnN     1.01674   -
-trigger   lnN     1.10    -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_crystal_1_550_1200/signal750_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_crystal_1_550_1200/signal750_sig.log
deleted file mode 100644
index e4e749b..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_crystal_1_550_1200/signal750_sig.log
+++ /dev/null
@@ -1,1000 +0,0 @@
-
-Processing test.c...
-nSignal_init = 99200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28581.6 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.97285e+02
-   2  sg_p1        3.25000e+01   2.50000e+00   0.00000e+00  -5.26336e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -1.34034e+00
-   4  sg_p3        8.83623e-01   7.00000e-01  -8.44345e-01  -8.85145e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28481.9 FROM HESSE     STATUS=OK             29 CALLS         226 TOTAL
-                     EDM=0.176135    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65606e-01   1.82652e-03   1.78201e-02
-   2  sg_p1        3.85553e+01   5.02370e-01   4.68920e-03  -1.33549e-02
-   3  sg_p2        2.98442e+00   1.00281e+00   5.00000e-01  -1.40904e+00
-   4  sg_p3        1.76206e+00   9.56239e-02   3.11054e-03   1.18363e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28481.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65607e-01   1.02030e-05  -2.48246e-04
-   2  sg_p1        3.85547e+01   5.02385e-01  -5.28821e-05  -6.46421e-04
-   3  sg_p2        3.57615e+00   9.22634e-01   2.50000e-01   0.00000e+00
-   4  sg_p3        1.76174e+00   9.56180e-02  -1.05757e-04  -3.32008e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.199e-01 -1.433e-02 -2.179e-05 -1.376e-02 
- -1.433e-02  2.526e-01  6.391e-05  2.295e-02 
- -2.179e-05  6.391e-05  9.034e-01  1.802e-05 
- -1.376e-02  2.295e-02  1.802e-05  9.146e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.26700   1.000 -0.050 -0.000 -0.254
-        2  0.48307  -0.050  1.000  0.000  0.477
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.53025  -0.254  0.477  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=28481.9 FROM HESSE     STATUS=FAILED          7 CALLS         245 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.41076e+02   5.45075e-01   1.82653e-03  -1.12350e-01
-   2  sg_p1        3.85547e+01   4.39914e-01   1.87568e-03   5.05653e-01
-   3  sg_p2        2.36258e+00   1.23330e+00   2.50000e-01   4.45003e-01
-   4  sg_p3        1.76174e+00   8.10352e-02  -1.05757e-04  -5.19731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.971e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.936e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  1.703e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  6.568e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-741.076 +- 0.545075
-38.5547 +- 0.439914
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28878.9 FROM MIGRAD    STATUS=INITIATE      112 CALLS         113 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.25454e+02
-   2  sg_p1        3.56130e+01   2.50000e+00   0.00000e+00   6.94117e+01
-   3  sg_p2        1.20743e+00   5.00000e-01  -5.43373e-01  -2.30464e+01
-   4  sg_p3        1.10042e+00   7.00000e-01   0.00000e+00  -5.72255e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             29 CALLS         423 TOTAL
-                     EDM=0.262248    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01   1.86583e-03  -3.18372e-03
-   2  sg_p1        3.93530e+01   5.09571e-01   5.09296e-03   1.74419e-02
-   3  sg_p2        2.25372e+00   5.17025e-01   3.03226e-01  -3.45943e+00
-   4  sg_p3        1.81743e+00   9.76205e-02   3.26395e-03  -1.13200e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28834.9 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=1.01318e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01  -7.43401e-07  -1.39873e-04
-   2  sg_p1        3.93527e+01   5.09582e-01  -3.36925e-05  -1.24591e-03
-   3  sg_p2        2.63229e+00   5.18825e-01   1.51613e-01   0.00000e+00
-   4  sg_p3        1.81743e+00   9.76204e-02  -7.43797e-07  -3.30431e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.287e-01  8.912e-03 -6.933e-06 -1.113e-02 
-  8.912e-03  2.599e-01  3.934e-05  2.184e-02 
- -6.933e-06  3.934e-05  2.731e-01  9.253e-06 
- -1.113e-02  2.184e-02  9.253e-06  9.533e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23810   1.000  0.030 -0.000 -0.199
-        2  0.45486   0.030  1.000  0.000  0.439
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.48738  -0.199  0.439  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             31 CALLS         468 TOTAL
-                     EDM=0.968431    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.44466e+02   5.73402e-01   7.46332e-04  -1.52619e-02
-   2  sg_p1        3.93527e+01   5.10469e-01   2.03719e-03   5.80225e-01
-   3  sg_p2        2.63229e+00   6.39685e-01   5.10000e-01   5.29399e-02
-   4  sg_p3        1.81743e+00   9.78361e-02   1.30558e-03  -5.01491e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.288e-01  8.226e-03  3.816e-12 -1.124e-02 
-  8.226e-03  2.608e-01  8.047e-12  2.210e-02 
-  3.816e-12  8.047e-12  4.185e-01 -1.617e-12 
- -1.124e-02  2.210e-02 -1.617e-12  9.575e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23882   1.000  0.028  0.000 -0.200
-        2  0.45797   0.028  1.000  0.000  0.442
-        3  0.00000   0.000  0.000  1.000 -0.000
-        4  0.49076  -0.200  0.442 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-744.466 +- 0.573402
-39.3527 +- 0.510469
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28016 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00   3.75442e+02
-   2  sg_p1        3.34297e+01   2.50000e+00   7.44428e-02  -3.45085e+00
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -3.67110e-01
-   4  sg_p3        9.50531e-01   7.00000e-01   0.00000e+00  -4.25357e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.1257e+00  1.0000e+00  1.0212e+00  3.1045e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.128794 TO DIAGONAL.
- FCN=27907.7 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         189 TOTAL
-                     EDM=0.288891    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37485e+02   6.72582e+00   1.83947e-03   6.18860e+00
-   2  sg_p1        3.83510e+01   1.04522e+00   4.63621e-03   1.08179e+00
-   3  sg_p2        3.44126e+00   3.98936e+00   5.00000e-01  -6.55275e-02
-   4  sg_p3        1.83188e+00   4.34020e-01   3.32682e-03  -4.03275e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=27907.7 FROM MIGRAD    STATUS=FAILED        299 CALLS         300 TOTAL
-                     EDM=0.0114055    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37435e+02   5.50832e-01   1.82376e-03   7.13141e-01
-   2  sg_p1        3.83308e+01   4.54574e-01   4.46650e-03  -6.17184e-02
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01  -3.55749e-02
-   4  sg_p3        1.83269e+00   3.76328e-02   3.32811e-03  -3.75326e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.034e-01  1.043e-03  0.000e+00 -3.749e-03 
-  1.043e-03  2.068e-01  0.000e+00  5.570e-03 
-  0.000e+00  0.000e+00  3.813e+01  0.000e+00 
- -3.749e-03  5.570e-03  0.000e+00  1.416e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.19272   1.000  0.004  0.000 -0.181
-        2  0.33174   0.004  1.000  0.000  0.325
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.37301  -0.181  0.325  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=27907.7 FROM HESSE     STATUS=OK             29 CALLS         329 TOTAL
-                     EDM=0.0259975    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.37435e+02   5.53707e-01   3.64751e-04  -2.17856e-01
-   2  sg_p1        3.83308e+01   4.70224e-01   1.78660e-04   4.85291e-01
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01   3.71491e-01
-   4  sg_p3        1.83269e+00   1.03955e-01   8.87511e-02  -4.96528e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.066e-01 -6.417e-03  3.317e-09 -1.192e-02 
- -6.417e-03  2.212e-01 -1.340e-08  1.984e-02 
-  3.317e-09 -1.340e-08  3.813e+01 -1.310e-09 
- -1.192e-02  1.984e-02 -1.310e-09  1.081e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21706   1.000 -0.025  0.000 -0.207
-        2  0.41028  -0.025  1.000 -0.000  0.406
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.45113  -0.207  0.406 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-737.435 +- 0.553707
-38.3308 +- 0.470224
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26875.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.68092e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.28555e+02
-   3  sg_p2        9.73975e-01   5.00000e-01   0.00000e+00   1.06582e+02
-   4  sg_p3        1.78677e+00   7.00000e-01  -5.11511e-01  -3.22236e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM MIGRAD    STATUS=CONVERGED     164 CALLS         165 TOTAL
-                     EDM=2.25921e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62526e+02   3.87529e-01   1.47757e-03   1.66856e-01
-   2  sg_p1        2.37778e+01   3.73075e-01   5.01466e-03   1.71102e-02
-   3  sg_p2        1.45537e+00   7.21350e-02   3.19921e-03  -4.87398e-02
-   4  sg_p3        1.20603e+00   3.81131e-02   1.25918e-03  -2.52445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.502e-01 -1.364e-02  4.886e-03 -4.422e-03 
- -1.364e-02  1.393e-01  9.457e-03  8.215e-03 
-  4.886e-03  9.457e-03  5.205e-03  5.123e-04 
- -4.422e-03  8.215e-03  5.123e-04  1.453e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38125   1.000 -0.094  0.175 -0.299
-        2  0.62877  -0.094  1.000  0.351  0.577
-        3  0.41098   0.175  0.351  1.000  0.186
-        4  0.62880  -0.299  0.577  0.186  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM HESSE     STATUS=OK             23 CALLS         188 TOTAL
-                     EDM=2.25799e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62526e+02   3.86914e-01   2.95513e-04   4.30739e-01
-   2  sg_p1        2.37778e+01   3.70943e-01   2.00586e-04  -5.19330e-01
-   3  sg_p2        1.45537e+00   7.09082e-02   1.27968e-04  -4.31078e-01
-   4  sg_p3        1.20603e+00   3.81052e-02   2.51836e-04  -7.14737e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.497e-01 -1.520e-02  4.447e-03 -4.507e-03 
- -1.520e-02  1.377e-01  8.786e-03  8.163e-03 
-  4.447e-03  8.786e-03  5.030e-03  4.843e-04 
- -4.507e-03  8.163e-03  4.843e-04  1.452e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37767   1.000 -0.106  0.162 -0.306
-        2  0.62321  -0.106  1.000  0.334  0.577
-        3  0.39101   0.162  0.334  1.000  0.179
-        4  0.62860  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.526 +- 0.386914
-23.7778 +- 0.370943
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27294.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46095e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.72944e+02
-   3  sg_p2        7.03339e-01   5.00000e-01   0.00000e+00   4.74696e+01
-   4  sg_p3        1.99296e+00   7.00000e-01  -4.45137e-01   5.15362e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM MIGRAD    STATUS=CONVERGED     184 CALLS         185 TOTAL
-                     EDM=3.95104e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.64393e+02   4.66702e-01   1.57008e-03  -7.87347e-02
-   2  sg_p1        2.18741e+01   6.89309e-01   6.78283e-03   4.79306e-02
-   3  sg_p2        1.13032e+00   8.74630e-02   2.49913e-03  -1.65710e-02
-   4  sg_p3        1.03518e+00   4.60093e-02   1.05785e-03  -5.74757e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.178e-01  6.647e-02  1.847e-02 -1.062e-03 
-  6.647e-02  4.782e-01  4.788e-02  2.645e-02 
-  1.847e-02  4.788e-02  7.654e-03  2.499e-03 
- -1.062e-03  2.645e-02  2.499e-03  2.117e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62194   1.000  0.206  0.452 -0.049
-        2  0.90325   0.206  1.000  0.791  0.831
-        3  0.84679   0.452  0.791  1.000  0.621
-        4  0.86298  -0.049  0.831  0.621  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM HESSE     STATUS=OK             23 CALLS         208 TOTAL
-                     EDM=3.92733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.64393e+02   4.66923e-01   3.14016e-04   5.00390e-01
-   2  sg_p1        2.18741e+01   6.85574e-01   2.71313e-04  -8.48247e-01
-   3  sg_p2        1.13032e+00   8.71717e-02   9.99652e-05  -5.79816e-01
-   4  sg_p3        1.03518e+00   4.58105e-02   2.11569e-04  -7.81343e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.180e-01  6.562e-02  1.843e-02 -1.114e-03 
-  6.562e-02  4.730e-01  4.734e-02  2.614e-02 
-  1.843e-02  4.734e-02  7.603e-03  2.467e-03 
- -1.114e-03  2.614e-02  2.467e-03  2.099e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62241   1.000  0.204  0.453 -0.052
-        2  0.90213   0.204  1.000  0.789  0.830
-        3  0.84567   0.453  0.789  1.000  0.617
-        4  0.86169  -0.052  0.830  0.617  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-764.393 +- 0.466923
-21.8741 +- 0.685574
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26264.2 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46794e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.17400e+02
-   3  sg_p2        1.05302e+00   5.00000e-01   0.00000e+00   5.34210e+01
-   4  sg_p3        2.10879e+00   7.00000e-01  -4.08780e-01   9.24467e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=5.02008e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.60633e+02   4.10250e-01   1.42251e-03   1.29588e-01
-   2  sg_p1        2.27934e+01   4.40097e-01   5.56534e-03  -9.52994e-03
-   3  sg_p2        1.26768e+00   7.07747e-02   2.70462e-03  -3.34938e-03
-   4  sg_p3        1.17410e+00   3.88711e-02   1.21241e-03  -3.97072e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.683e-01  2.199e-02  1.072e-02 -2.580e-03 
-  2.199e-02  1.941e-01  1.837e-02  1.084e-02 
-  1.072e-02  1.837e-02  5.011e-03  9.405e-04 
- -2.580e-03  1.084e-02  9.405e-04  1.511e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48460   1.000  0.122  0.369 -0.162
-        2  0.74869   0.122  1.000  0.589  0.633
-        3  0.66331   0.369  0.589  1.000  0.342
-        4  0.67935  -0.162  0.633  0.342  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM HESSE     STATUS=OK             23 CALLS         197 TOTAL
-                     EDM=5.03332e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.60633e+02   4.10594e-01   2.84502e-04   3.62318e-01
-   2  sg_p1        2.27934e+01   4.40772e-01   2.22614e-04  -6.78399e-01
-   3  sg_p2        1.26768e+00   7.09147e-02   1.08185e-04  -5.15453e-01
-   4  sg_p3        1.17410e+00   3.89135e-02   4.84963e-05  -7.26883e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.686e-01  2.210e-02  1.079e-02 -2.577e-03 
-  2.210e-02  1.946e-01  1.847e-02  1.088e-02 
-  1.079e-02  1.847e-02  5.031e-03  9.476e-04 
- -2.577e-03  1.088e-02  9.476e-04  1.514e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48592   1.000  0.122  0.371 -0.161
-        2  0.74959   0.122  1.000  0.590  0.634
-        3  0.66497   0.371  0.590  1.000  0.343
-        4  0.68021  -0.161  0.634  0.343  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-760.633 +- 0.410594
-22.7934 +- 0.440772
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26499.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.41562e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.39733e+02
-   3  sg_p2        8.25062e-01   5.00000e-01   0.00000e+00   1.45082e+01
-   4  sg_p3        2.10061e+00   7.00000e-01  -4.11326e-01   8.60481e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2210e+00  1.2206e+00  2.0001e+00  2.0003e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.223025 TO DIAGONAL.
- FCN=26111.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         181 TOTAL
-                     EDM=41.1386    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62134e+02   2.03776e-03   1.58217e-05   4.03447e+01
-   2  sg_p1        2.29588e+01   1.67018e-03   5.95918e-05   2.08825e+01
-   3  sg_p2        1.19457e+00   2.72680e-04   2.72376e-05   7.30730e+01
-   4  sg_p3        1.16508e+00   2.68104e-01   1.29100e-06   8.78813e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00425 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.5660e-01 -1.6788e-04  2.0585e-14  4.4568e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.461061 TO DIAGONAL.
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=26110.6 FROM MIGRAD    STATUS=FAILED        468 CALLS         469 TOTAL
-                     EDM=1.25872e+08    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62214e+02   1.17532e-01  -0.00000e+00  -5.57867e+04
-   2  sg_p1        2.29537e+01   1.01617e-02   0.00000e+00  -1.48052e+04
-   3  sg_p2        1.18371e+00   1.47620e-02   0.00000e+00  -3.24026e+04
-   4  sg_p3        1.15581e+00   5.85135e-04   0.00000e+00  -2.25593e+04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.381e-02 -5.016e-04 -1.726e-03 -6.872e-05 
- -5.016e-04  1.033e-04  4.890e-05  2.365e-06 
- -1.726e-03  4.890e-05  2.179e-04  8.608e-06 
- -6.872e-05  2.365e-06  8.608e-06  3.424e-07 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99999   1.000 -0.420 -0.995 -0.999
-        2  0.99909  -0.420  1.000  0.326  0.398
-        3  0.99999  -0.995  0.326  1.000  0.997
-        4  0.99958  -0.999  0.398  0.997  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26110.6 FROM HESSE     STATUS=OK             31 CALLS         500 TOTAL
-                     EDM=4.07569e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62214e+02   6.72563e-04   6.72704e-05   4.19323e-01
-   2  sg_p1        2.29537e+01   5.51296e-04   2.53393e-04  -6.51238e-01
-   3  sg_p2        1.18371e+00   8.97773e-05   1.15823e-04  -5.54498e-01
-   4  sg_p3        1.15581e+00   1.57378e-04   1.66079e-04  -7.33896e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.523e-07 -1.618e-13  9.783e-15 -6.573e-13 
- -1.618e-13  3.039e-07  2.059e-14  7.746e-13 
-  9.783e-15  2.059e-14  8.060e-09  1.090e-14 
- -6.573e-13  7.746e-13  1.090e-14  2.477e-08 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00001   1.000 -0.000  0.000 -0.000
-        2  0.00001  -0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00001  -0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.214 +- 0.000672563
-22.9537 +- 0.000551296
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27208.5 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.71181e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.11815e+02
-   3  sg_p2        9.86241e-01   5.00000e-01   0.00000e+00   8.13644e+01
-   4  sg_p3        2.10880e+00   7.00000e-01  -4.08775e-01   8.43786e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM MIGRAD    STATUS=CONVERGED     251 CALLS         252 TOTAL
-                     EDM=2.19426e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62956e+02   4.19070e-01   1.45249e-03  -5.27598e-02
-   2  sg_p1        2.12954e+01   4.98544e-01   7.45088e-03   6.83394e-02
-   3  sg_p2        1.18806e+00   5.51337e-02   2.26922e-03  -3.48477e-02
-   4  sg_p3        1.02393e+00   4.08580e-02   1.04829e-03  -3.83312e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.756e-01 -5.320e-02  2.758e-03 -7.610e-03 
- -5.320e-02  2.497e-01  1.564e-02  1.606e-02 
-  2.758e-03  1.564e-02  3.040e-03  9.429e-04 
- -7.610e-03  1.606e-02  9.429e-04  1.670e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55737   1.000 -0.254  0.119 -0.444
-        2  0.82936  -0.254  1.000  0.568  0.787
-        3  0.63378   0.119  0.568  1.000  0.419
-        4  0.82799  -0.444  0.787  0.419  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM HESSE     STATUS=OK             23 CALLS         275 TOTAL
-                     EDM=2.19263e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62956e+02   4.19119e-01   5.80997e-05   4.46547e-01
-   2  sg_p1        2.12954e+01   4.95694e-01   2.98035e-04  -9.74247e-01
-   3  sg_p2        1.18806e+00   5.50237e-02   9.07687e-05  -5.52454e-01
-   4  sg_p3        1.02393e+00   4.06459e-02   2.09657e-04  -7.85881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.757e-01 -5.257e-02  2.838e-03 -7.560e-03 
- -5.257e-02  2.469e-01  1.543e-02  1.584e-02 
-  2.838e-03  1.543e-02  3.028e-03  9.269e-04 
- -7.560e-03  1.584e-02  9.269e-04  1.652e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55751   1.000 -0.252  0.123 -0.444
-        2  0.82718  -0.252  1.000  0.564  0.784
-        3  0.63189   0.123  0.564  1.000  0.414
-        4  0.82600  -0.444  0.784  0.414  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.956 +- 0.419119
-21.2954 +- 0.495694
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24938.9 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.47220e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.27544e+02
-   3  sg_p2        9.01698e-01   5.00000e-01   1.92174e-02  -8.96650e-02
-   4  sg_p3        1.90374e+00   7.00000e-01   0.00000e+00   2.84089e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM MIGRAD    STATUS=CONVERGED     280 CALLS         281 TOTAL
-                     EDM=9.56937e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62504e+02   4.01949e-01   1.47474e-03  -4.25141e-02
-   2  sg_p1        2.37637e+01   3.86910e-01   5.01010e-03  -4.75722e-02
-   3  sg_p2        1.45752e+00   7.51498e-02   3.25318e-03   8.87634e-02
-   4  sg_p3        1.20613e+00   3.95609e-02   1.25939e-03   3.14350e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.616e-01 -1.460e-02  5.296e-03 -4.757e-03 
- -1.460e-02  1.499e-01  1.026e-02  8.842e-03 
-  5.296e-03  1.026e-02  5.650e-03  5.555e-04 
- -4.757e-03  8.842e-03  5.555e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38149   1.000 -0.094  0.175 -0.299
-        2  0.62911  -0.094  1.000  0.352  0.577
-        3  0.41238   0.175  0.352  1.000  0.187
-        4  0.62872  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM HESSE     STATUS=OK             23 CALLS         304 TOTAL
-                     EDM=9.61039e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62504e+02   4.01306e-01   5.89896e-05   4.29922e-01
-   2  sg_p1        2.37637e+01   3.84472e-01   1.00202e-03  -5.21496e-01
-   3  sg_p2        1.45752e+00   7.37104e-02   1.30127e-04  -4.30134e-01
-   4  sg_p3        1.20613e+00   3.95531e-02   5.03756e-05  -7.14699e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.611e-01 -1.655e-02  4.777e-03 -4.865e-03 
- -1.655e-02  1.480e-01  9.452e-03  8.781e-03 
-  4.777e-03  9.452e-03  5.435e-03  5.216e-04 
- -4.865e-03  8.781e-03  5.216e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37788   1.000 -0.107  0.161 -0.306
-        2  0.62297  -0.107  1.000  0.333  0.577
-        3  0.39044   0.161  0.333  1.000  0.179
-        4  0.62853  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.504 +- 0.401306
-23.7637 +- 0.384472
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28920.4 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.80937e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.38006e+02
-   3  sg_p2        9.71765e-01   5.00000e-01   0.00000e+00   1.16073e+02
-   4  sg_p3        1.78443e+00   7.00000e-01  -5.12276e-01  -3.52605e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=3.69493e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62545e+02   3.73878e-01   1.47900e-03   5.87554e-02
-   2  sg_p1        2.37920e+01   3.60128e-01   5.01141e-03  -3.15083e-02
-   3  sg_p2        1.45371e+00   6.94889e-02   3.21558e-03   3.10664e-02
-   4  sg_p3        1.20626e+00   3.67580e-02   1.25830e-03   1.44527e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.398e-01 -1.256e-02  4.559e-03 -4.105e-03 
- -1.256e-02  1.298e-01  8.802e-03  7.648e-03 
-  4.559e-03  8.802e-03  4.830e-03  4.765e-04 
- -4.105e-03  7.648e-03  4.765e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38118   1.000 -0.093  0.175 -0.299
-        2  0.62894  -0.093  1.000  0.352  0.577
-        3  0.41146   0.175  0.352  1.000  0.187
-        4  0.62883  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM HESSE     STATUS=OK             23 CALLS         187 TOTAL
-                     EDM=3.68603e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62545e+02   3.73300e-01   5.91598e-05   4.31441e-01
-   2  sg_p1        2.37920e+01   3.58022e-01   1.00228e-03  -5.17141e-01
-   3  sg_p2        1.45371e+00   6.82924e-02   1.28623e-04  -4.31812e-01
-   4  sg_p3        1.20626e+00   3.67501e-02   5.03319e-05  -7.14653e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.394e-01 -1.405e-02  4.150e-03 -4.188e-03 
- -1.405e-02  1.283e-01  8.166e-03  7.599e-03 
-  4.150e-03  8.166e-03  4.665e-03  4.498e-04 
- -4.188e-03  7.599e-03  4.498e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37769   1.000 -0.105  0.163 -0.305
-        2  0.62325  -0.105  1.000  0.334  0.577
-        3  0.39121   0.163  0.334  1.000  0.179
-        4  0.62862  -0.305  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.545 +- 0.3733
-23.792 +- 0.358022
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 762.526 +- 0.386914 (stat) - 1.89298 + 1.86678 (syst); -1.90284/+1.87677 (total)
-   Uncertainty on sg_p1 = 23.7778 +- 0.370943 (stat) - 2.48235 + 0.0142669 (syst); -2.48927/+0.18602 (total)
-   Uncertainty on sg_p2 = 1.45537 +- 0.0709082 (stat) - 0.32505 + 0.00214348 (syst); -0.326977/+0.0355188 (total)
-   Uncertainty on sg_p3 = 1.20603 +- 0.0381052 (stat) - 0.182102 + 0.000222545 (syst); -0.183096/+0.0190539 (total)
-   === Baseline plot === </br>
-   norm = 206.504
-JEC     lnN   1.01674  -
-JER     lnN   1.01351  -
-btag    lnN   1.07417  -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
deleted file mode 100644
index 53a4d10..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.13008 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07417    -
-JER       lnN     1.01351   - 
-JEC       lnN     1.01674   -
-trigger   lnN     1.10    -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_novo_550_1200/signal750_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_novo_550_1200/signal750_sig.log
deleted file mode 100644
index e4e749b..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_750_novo_550_1200/signal750_sig.log
+++ /dev/null
@@ -1,1000 +0,0 @@
-
-Processing test.c...
-nSignal_init = 99200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28581.6 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.97285e+02
-   2  sg_p1        3.25000e+01   2.50000e+00   0.00000e+00  -5.26336e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -1.34034e+00
-   4  sg_p3        8.83623e-01   7.00000e-01  -8.44345e-01  -8.85145e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28481.9 FROM HESSE     STATUS=OK             29 CALLS         226 TOTAL
-                     EDM=0.176135    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65606e-01   1.82652e-03   1.78201e-02
-   2  sg_p1        3.85553e+01   5.02370e-01   4.68920e-03  -1.33549e-02
-   3  sg_p2        2.98442e+00   1.00281e+00   5.00000e-01  -1.40904e+00
-   4  sg_p3        1.76206e+00   9.56239e-02   3.11054e-03   1.18363e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28481.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65607e-01   1.02030e-05  -2.48246e-04
-   2  sg_p1        3.85547e+01   5.02385e-01  -5.28821e-05  -6.46421e-04
-   3  sg_p2        3.57615e+00   9.22634e-01   2.50000e-01   0.00000e+00
-   4  sg_p3        1.76174e+00   9.56180e-02  -1.05757e-04  -3.32008e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.199e-01 -1.433e-02 -2.179e-05 -1.376e-02 
- -1.433e-02  2.526e-01  6.391e-05  2.295e-02 
- -2.179e-05  6.391e-05  9.034e-01  1.802e-05 
- -1.376e-02  2.295e-02  1.802e-05  9.146e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.26700   1.000 -0.050 -0.000 -0.254
-        2  0.48307  -0.050  1.000  0.000  0.477
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.53025  -0.254  0.477  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=28481.9 FROM HESSE     STATUS=FAILED          7 CALLS         245 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.41076e+02   5.45075e-01   1.82653e-03  -1.12350e-01
-   2  sg_p1        3.85547e+01   4.39914e-01   1.87568e-03   5.05653e-01
-   3  sg_p2        2.36258e+00   1.23330e+00   2.50000e-01   4.45003e-01
-   4  sg_p3        1.76174e+00   8.10352e-02  -1.05757e-04  -5.19731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.971e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.936e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  1.703e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  6.568e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-741.076 +- 0.545075
-38.5547 +- 0.439914
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28878.9 FROM MIGRAD    STATUS=INITIATE      112 CALLS         113 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.25454e+02
-   2  sg_p1        3.56130e+01   2.50000e+00   0.00000e+00   6.94117e+01
-   3  sg_p2        1.20743e+00   5.00000e-01  -5.43373e-01  -2.30464e+01
-   4  sg_p3        1.10042e+00   7.00000e-01   0.00000e+00  -5.72255e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             29 CALLS         423 TOTAL
-                     EDM=0.262248    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01   1.86583e-03  -3.18372e-03
-   2  sg_p1        3.93530e+01   5.09571e-01   5.09296e-03   1.74419e-02
-   3  sg_p2        2.25372e+00   5.17025e-01   3.03226e-01  -3.45943e+00
-   4  sg_p3        1.81743e+00   9.76205e-02   3.26395e-03  -1.13200e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28834.9 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=1.01318e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01  -7.43401e-07  -1.39873e-04
-   2  sg_p1        3.93527e+01   5.09582e-01  -3.36925e-05  -1.24591e-03
-   3  sg_p2        2.63229e+00   5.18825e-01   1.51613e-01   0.00000e+00
-   4  sg_p3        1.81743e+00   9.76204e-02  -7.43797e-07  -3.30431e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.287e-01  8.912e-03 -6.933e-06 -1.113e-02 
-  8.912e-03  2.599e-01  3.934e-05  2.184e-02 
- -6.933e-06  3.934e-05  2.731e-01  9.253e-06 
- -1.113e-02  2.184e-02  9.253e-06  9.533e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23810   1.000  0.030 -0.000 -0.199
-        2  0.45486   0.030  1.000  0.000  0.439
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.48738  -0.199  0.439  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             31 CALLS         468 TOTAL
-                     EDM=0.968431    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.44466e+02   5.73402e-01   7.46332e-04  -1.52619e-02
-   2  sg_p1        3.93527e+01   5.10469e-01   2.03719e-03   5.80225e-01
-   3  sg_p2        2.63229e+00   6.39685e-01   5.10000e-01   5.29399e-02
-   4  sg_p3        1.81743e+00   9.78361e-02   1.30558e-03  -5.01491e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.288e-01  8.226e-03  3.816e-12 -1.124e-02 
-  8.226e-03  2.608e-01  8.047e-12  2.210e-02 
-  3.816e-12  8.047e-12  4.185e-01 -1.617e-12 
- -1.124e-02  2.210e-02 -1.617e-12  9.575e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23882   1.000  0.028  0.000 -0.200
-        2  0.45797   0.028  1.000  0.000  0.442
-        3  0.00000   0.000  0.000  1.000 -0.000
-        4  0.49076  -0.200  0.442 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-744.466 +- 0.573402
-39.3527 +- 0.510469
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28016 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00   3.75442e+02
-   2  sg_p1        3.34297e+01   2.50000e+00   7.44428e-02  -3.45085e+00
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -3.67110e-01
-   4  sg_p3        9.50531e-01   7.00000e-01   0.00000e+00  -4.25357e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.1257e+00  1.0000e+00  1.0212e+00  3.1045e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.128794 TO DIAGONAL.
- FCN=27907.7 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         189 TOTAL
-                     EDM=0.288891    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37485e+02   6.72582e+00   1.83947e-03   6.18860e+00
-   2  sg_p1        3.83510e+01   1.04522e+00   4.63621e-03   1.08179e+00
-   3  sg_p2        3.44126e+00   3.98936e+00   5.00000e-01  -6.55275e-02
-   4  sg_p3        1.83188e+00   4.34020e-01   3.32682e-03  -4.03275e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=27907.7 FROM MIGRAD    STATUS=FAILED        299 CALLS         300 TOTAL
-                     EDM=0.0114055    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37435e+02   5.50832e-01   1.82376e-03   7.13141e-01
-   2  sg_p1        3.83308e+01   4.54574e-01   4.46650e-03  -6.17184e-02
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01  -3.55749e-02
-   4  sg_p3        1.83269e+00   3.76328e-02   3.32811e-03  -3.75326e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.034e-01  1.043e-03  0.000e+00 -3.749e-03 
-  1.043e-03  2.068e-01  0.000e+00  5.570e-03 
-  0.000e+00  0.000e+00  3.813e+01  0.000e+00 
- -3.749e-03  5.570e-03  0.000e+00  1.416e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.19272   1.000  0.004  0.000 -0.181
-        2  0.33174   0.004  1.000  0.000  0.325
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.37301  -0.181  0.325  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=27907.7 FROM HESSE     STATUS=OK             29 CALLS         329 TOTAL
-                     EDM=0.0259975    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.37435e+02   5.53707e-01   3.64751e-04  -2.17856e-01
-   2  sg_p1        3.83308e+01   4.70224e-01   1.78660e-04   4.85291e-01
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01   3.71491e-01
-   4  sg_p3        1.83269e+00   1.03955e-01   8.87511e-02  -4.96528e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.066e-01 -6.417e-03  3.317e-09 -1.192e-02 
- -6.417e-03  2.212e-01 -1.340e-08  1.984e-02 
-  3.317e-09 -1.340e-08  3.813e+01 -1.310e-09 
- -1.192e-02  1.984e-02 -1.310e-09  1.081e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21706   1.000 -0.025  0.000 -0.207
-        2  0.41028  -0.025  1.000 -0.000  0.406
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.45113  -0.207  0.406 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-737.435 +- 0.553707
-38.3308 +- 0.470224
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26875.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.68092e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.28555e+02
-   3  sg_p2        9.73975e-01   5.00000e-01   0.00000e+00   1.06582e+02
-   4  sg_p3        1.78677e+00   7.00000e-01  -5.11511e-01  -3.22236e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM MIGRAD    STATUS=CONVERGED     164 CALLS         165 TOTAL
-                     EDM=2.25921e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62526e+02   3.87529e-01   1.47757e-03   1.66856e-01
-   2  sg_p1        2.37778e+01   3.73075e-01   5.01466e-03   1.71102e-02
-   3  sg_p2        1.45537e+00   7.21350e-02   3.19921e-03  -4.87398e-02
-   4  sg_p3        1.20603e+00   3.81131e-02   1.25918e-03  -2.52445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.502e-01 -1.364e-02  4.886e-03 -4.422e-03 
- -1.364e-02  1.393e-01  9.457e-03  8.215e-03 
-  4.886e-03  9.457e-03  5.205e-03  5.123e-04 
- -4.422e-03  8.215e-03  5.123e-04  1.453e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38125   1.000 -0.094  0.175 -0.299
-        2  0.62877  -0.094  1.000  0.351  0.577
-        3  0.41098   0.175  0.351  1.000  0.186
-        4  0.62880  -0.299  0.577  0.186  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM HESSE     STATUS=OK             23 CALLS         188 TOTAL
-                     EDM=2.25799e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62526e+02   3.86914e-01   2.95513e-04   4.30739e-01
-   2  sg_p1        2.37778e+01   3.70943e-01   2.00586e-04  -5.19330e-01
-   3  sg_p2        1.45537e+00   7.09082e-02   1.27968e-04  -4.31078e-01
-   4  sg_p3        1.20603e+00   3.81052e-02   2.51836e-04  -7.14737e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.497e-01 -1.520e-02  4.447e-03 -4.507e-03 
- -1.520e-02  1.377e-01  8.786e-03  8.163e-03 
-  4.447e-03  8.786e-03  5.030e-03  4.843e-04 
- -4.507e-03  8.163e-03  4.843e-04  1.452e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37767   1.000 -0.106  0.162 -0.306
-        2  0.62321  -0.106  1.000  0.334  0.577
-        3  0.39101   0.162  0.334  1.000  0.179
-        4  0.62860  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.526 +- 0.386914
-23.7778 +- 0.370943
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27294.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46095e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.72944e+02
-   3  sg_p2        7.03339e-01   5.00000e-01   0.00000e+00   4.74696e+01
-   4  sg_p3        1.99296e+00   7.00000e-01  -4.45137e-01   5.15362e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM MIGRAD    STATUS=CONVERGED     184 CALLS         185 TOTAL
-                     EDM=3.95104e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.64393e+02   4.66702e-01   1.57008e-03  -7.87347e-02
-   2  sg_p1        2.18741e+01   6.89309e-01   6.78283e-03   4.79306e-02
-   3  sg_p2        1.13032e+00   8.74630e-02   2.49913e-03  -1.65710e-02
-   4  sg_p3        1.03518e+00   4.60093e-02   1.05785e-03  -5.74757e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.178e-01  6.647e-02  1.847e-02 -1.062e-03 
-  6.647e-02  4.782e-01  4.788e-02  2.645e-02 
-  1.847e-02  4.788e-02  7.654e-03  2.499e-03 
- -1.062e-03  2.645e-02  2.499e-03  2.117e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62194   1.000  0.206  0.452 -0.049
-        2  0.90325   0.206  1.000  0.791  0.831
-        3  0.84679   0.452  0.791  1.000  0.621
-        4  0.86298  -0.049  0.831  0.621  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM HESSE     STATUS=OK             23 CALLS         208 TOTAL
-                     EDM=3.92733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.64393e+02   4.66923e-01   3.14016e-04   5.00390e-01
-   2  sg_p1        2.18741e+01   6.85574e-01   2.71313e-04  -8.48247e-01
-   3  sg_p2        1.13032e+00   8.71717e-02   9.99652e-05  -5.79816e-01
-   4  sg_p3        1.03518e+00   4.58105e-02   2.11569e-04  -7.81343e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.180e-01  6.562e-02  1.843e-02 -1.114e-03 
-  6.562e-02  4.730e-01  4.734e-02  2.614e-02 
-  1.843e-02  4.734e-02  7.603e-03  2.467e-03 
- -1.114e-03  2.614e-02  2.467e-03  2.099e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62241   1.000  0.204  0.453 -0.052
-        2  0.90213   0.204  1.000  0.789  0.830
-        3  0.84567   0.453  0.789  1.000  0.617
-        4  0.86169  -0.052  0.830  0.617  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-764.393 +- 0.466923
-21.8741 +- 0.685574
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26264.2 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46794e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.17400e+02
-   3  sg_p2        1.05302e+00   5.00000e-01   0.00000e+00   5.34210e+01
-   4  sg_p3        2.10879e+00   7.00000e-01  -4.08780e-01   9.24467e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=5.02008e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.60633e+02   4.10250e-01   1.42251e-03   1.29588e-01
-   2  sg_p1        2.27934e+01   4.40097e-01   5.56534e-03  -9.52994e-03
-   3  sg_p2        1.26768e+00   7.07747e-02   2.70462e-03  -3.34938e-03
-   4  sg_p3        1.17410e+00   3.88711e-02   1.21241e-03  -3.97072e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.683e-01  2.199e-02  1.072e-02 -2.580e-03 
-  2.199e-02  1.941e-01  1.837e-02  1.084e-02 
-  1.072e-02  1.837e-02  5.011e-03  9.405e-04 
- -2.580e-03  1.084e-02  9.405e-04  1.511e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48460   1.000  0.122  0.369 -0.162
-        2  0.74869   0.122  1.000  0.589  0.633
-        3  0.66331   0.369  0.589  1.000  0.342
-        4  0.67935  -0.162  0.633  0.342  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM HESSE     STATUS=OK             23 CALLS         197 TOTAL
-                     EDM=5.03332e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.60633e+02   4.10594e-01   2.84502e-04   3.62318e-01
-   2  sg_p1        2.27934e+01   4.40772e-01   2.22614e-04  -6.78399e-01
-   3  sg_p2        1.26768e+00   7.09147e-02   1.08185e-04  -5.15453e-01
-   4  sg_p3        1.17410e+00   3.89135e-02   4.84963e-05  -7.26883e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.686e-01  2.210e-02  1.079e-02 -2.577e-03 
-  2.210e-02  1.946e-01  1.847e-02  1.088e-02 
-  1.079e-02  1.847e-02  5.031e-03  9.476e-04 
- -2.577e-03  1.088e-02  9.476e-04  1.514e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48592   1.000  0.122  0.371 -0.161
-        2  0.74959   0.122  1.000  0.590  0.634
-        3  0.66497   0.371  0.590  1.000  0.343
-        4  0.68021  -0.161  0.634  0.343  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-760.633 +- 0.410594
-22.7934 +- 0.440772
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26499.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.41562e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.39733e+02
-   3  sg_p2        8.25062e-01   5.00000e-01   0.00000e+00   1.45082e+01
-   4  sg_p3        2.10061e+00   7.00000e-01  -4.11326e-01   8.60481e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2210e+00  1.2206e+00  2.0001e+00  2.0003e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.223025 TO DIAGONAL.
- FCN=26111.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         181 TOTAL
-                     EDM=41.1386    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62134e+02   2.03776e-03   1.58217e-05   4.03447e+01
-   2  sg_p1        2.29588e+01   1.67018e-03   5.95918e-05   2.08825e+01
-   3  sg_p2        1.19457e+00   2.72680e-04   2.72376e-05   7.30730e+01
-   4  sg_p3        1.16508e+00   2.68104e-01   1.29100e-06   8.78813e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00425 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.5660e-01 -1.6788e-04  2.0585e-14  4.4568e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.461061 TO DIAGONAL.
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=26110.6 FROM MIGRAD    STATUS=FAILED        468 CALLS         469 TOTAL
-                     EDM=1.25872e+08    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62214e+02   1.17532e-01  -0.00000e+00  -5.57867e+04
-   2  sg_p1        2.29537e+01   1.01617e-02   0.00000e+00  -1.48052e+04
-   3  sg_p2        1.18371e+00   1.47620e-02   0.00000e+00  -3.24026e+04
-   4  sg_p3        1.15581e+00   5.85135e-04   0.00000e+00  -2.25593e+04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.381e-02 -5.016e-04 -1.726e-03 -6.872e-05 
- -5.016e-04  1.033e-04  4.890e-05  2.365e-06 
- -1.726e-03  4.890e-05  2.179e-04  8.608e-06 
- -6.872e-05  2.365e-06  8.608e-06  3.424e-07 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99999   1.000 -0.420 -0.995 -0.999
-        2  0.99909  -0.420  1.000  0.326  0.398
-        3  0.99999  -0.995  0.326  1.000  0.997
-        4  0.99958  -0.999  0.398  0.997  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26110.6 FROM HESSE     STATUS=OK             31 CALLS         500 TOTAL
-                     EDM=4.07569e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62214e+02   6.72563e-04   6.72704e-05   4.19323e-01
-   2  sg_p1        2.29537e+01   5.51296e-04   2.53393e-04  -6.51238e-01
-   3  sg_p2        1.18371e+00   8.97773e-05   1.15823e-04  -5.54498e-01
-   4  sg_p3        1.15581e+00   1.57378e-04   1.66079e-04  -7.33896e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.523e-07 -1.618e-13  9.783e-15 -6.573e-13 
- -1.618e-13  3.039e-07  2.059e-14  7.746e-13 
-  9.783e-15  2.059e-14  8.060e-09  1.090e-14 
- -6.573e-13  7.746e-13  1.090e-14  2.477e-08 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00001   1.000 -0.000  0.000 -0.000
-        2  0.00001  -0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00001  -0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.214 +- 0.000672563
-22.9537 +- 0.000551296
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27208.5 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.71181e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.11815e+02
-   3  sg_p2        9.86241e-01   5.00000e-01   0.00000e+00   8.13644e+01
-   4  sg_p3        2.10880e+00   7.00000e-01  -4.08775e-01   8.43786e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM MIGRAD    STATUS=CONVERGED     251 CALLS         252 TOTAL
-                     EDM=2.19426e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62956e+02   4.19070e-01   1.45249e-03  -5.27598e-02
-   2  sg_p1        2.12954e+01   4.98544e-01   7.45088e-03   6.83394e-02
-   3  sg_p2        1.18806e+00   5.51337e-02   2.26922e-03  -3.48477e-02
-   4  sg_p3        1.02393e+00   4.08580e-02   1.04829e-03  -3.83312e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.756e-01 -5.320e-02  2.758e-03 -7.610e-03 
- -5.320e-02  2.497e-01  1.564e-02  1.606e-02 
-  2.758e-03  1.564e-02  3.040e-03  9.429e-04 
- -7.610e-03  1.606e-02  9.429e-04  1.670e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55737   1.000 -0.254  0.119 -0.444
-        2  0.82936  -0.254  1.000  0.568  0.787
-        3  0.63378   0.119  0.568  1.000  0.419
-        4  0.82799  -0.444  0.787  0.419  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM HESSE     STATUS=OK             23 CALLS         275 TOTAL
-                     EDM=2.19263e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62956e+02   4.19119e-01   5.80997e-05   4.46547e-01
-   2  sg_p1        2.12954e+01   4.95694e-01   2.98035e-04  -9.74247e-01
-   3  sg_p2        1.18806e+00   5.50237e-02   9.07687e-05  -5.52454e-01
-   4  sg_p3        1.02393e+00   4.06459e-02   2.09657e-04  -7.85881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.757e-01 -5.257e-02  2.838e-03 -7.560e-03 
- -5.257e-02  2.469e-01  1.543e-02  1.584e-02 
-  2.838e-03  1.543e-02  3.028e-03  9.269e-04 
- -7.560e-03  1.584e-02  9.269e-04  1.652e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55751   1.000 -0.252  0.123 -0.444
-        2  0.82718  -0.252  1.000  0.564  0.784
-        3  0.63189   0.123  0.564  1.000  0.414
-        4  0.82600  -0.444  0.784  0.414  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.956 +- 0.419119
-21.2954 +- 0.495694
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24938.9 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.47220e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.27544e+02
-   3  sg_p2        9.01698e-01   5.00000e-01   1.92174e-02  -8.96650e-02
-   4  sg_p3        1.90374e+00   7.00000e-01   0.00000e+00   2.84089e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM MIGRAD    STATUS=CONVERGED     280 CALLS         281 TOTAL
-                     EDM=9.56937e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62504e+02   4.01949e-01   1.47474e-03  -4.25141e-02
-   2  sg_p1        2.37637e+01   3.86910e-01   5.01010e-03  -4.75722e-02
-   3  sg_p2        1.45752e+00   7.51498e-02   3.25318e-03   8.87634e-02
-   4  sg_p3        1.20613e+00   3.95609e-02   1.25939e-03   3.14350e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.616e-01 -1.460e-02  5.296e-03 -4.757e-03 
- -1.460e-02  1.499e-01  1.026e-02  8.842e-03 
-  5.296e-03  1.026e-02  5.650e-03  5.555e-04 
- -4.757e-03  8.842e-03  5.555e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38149   1.000 -0.094  0.175 -0.299
-        2  0.62911  -0.094  1.000  0.352  0.577
-        3  0.41238   0.175  0.352  1.000  0.187
-        4  0.62872  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM HESSE     STATUS=OK             23 CALLS         304 TOTAL
-                     EDM=9.61039e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62504e+02   4.01306e-01   5.89896e-05   4.29922e-01
-   2  sg_p1        2.37637e+01   3.84472e-01   1.00202e-03  -5.21496e-01
-   3  sg_p2        1.45752e+00   7.37104e-02   1.30127e-04  -4.30134e-01
-   4  sg_p3        1.20613e+00   3.95531e-02   5.03756e-05  -7.14699e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.611e-01 -1.655e-02  4.777e-03 -4.865e-03 
- -1.655e-02  1.480e-01  9.452e-03  8.781e-03 
-  4.777e-03  9.452e-03  5.435e-03  5.216e-04 
- -4.865e-03  8.781e-03  5.216e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37788   1.000 -0.107  0.161 -0.306
-        2  0.62297  -0.107  1.000  0.333  0.577
-        3  0.39044   0.161  0.333  1.000  0.179
-        4  0.62853  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.504 +- 0.401306
-23.7637 +- 0.384472
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28920.4 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.80937e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.38006e+02
-   3  sg_p2        9.71765e-01   5.00000e-01   0.00000e+00   1.16073e+02
-   4  sg_p3        1.78443e+00   7.00000e-01  -5.12276e-01  -3.52605e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=3.69493e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62545e+02   3.73878e-01   1.47900e-03   5.87554e-02
-   2  sg_p1        2.37920e+01   3.60128e-01   5.01141e-03  -3.15083e-02
-   3  sg_p2        1.45371e+00   6.94889e-02   3.21558e-03   3.10664e-02
-   4  sg_p3        1.20626e+00   3.67580e-02   1.25830e-03   1.44527e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.398e-01 -1.256e-02  4.559e-03 -4.105e-03 
- -1.256e-02  1.298e-01  8.802e-03  7.648e-03 
-  4.559e-03  8.802e-03  4.830e-03  4.765e-04 
- -4.105e-03  7.648e-03  4.765e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38118   1.000 -0.093  0.175 -0.299
-        2  0.62894  -0.093  1.000  0.352  0.577
-        3  0.41146   0.175  0.352  1.000  0.187
-        4  0.62883  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM HESSE     STATUS=OK             23 CALLS         187 TOTAL
-                     EDM=3.68603e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62545e+02   3.73300e-01   5.91598e-05   4.31441e-01
-   2  sg_p1        2.37920e+01   3.58022e-01   1.00228e-03  -5.17141e-01
-   3  sg_p2        1.45371e+00   6.82924e-02   1.28623e-04  -4.31812e-01
-   4  sg_p3        1.20626e+00   3.67501e-02   5.03319e-05  -7.14653e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.394e-01 -1.405e-02  4.150e-03 -4.188e-03 
- -1.405e-02  1.283e-01  8.166e-03  7.599e-03 
-  4.150e-03  8.166e-03  4.665e-03  4.498e-04 
- -4.188e-03  7.599e-03  4.498e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37769   1.000 -0.105  0.163 -0.305
-        2  0.62325  -0.105  1.000  0.334  0.577
-        3  0.39121   0.163  0.334  1.000  0.179
-        4  0.62862  -0.305  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.545 +- 0.3733
-23.792 +- 0.358022
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 762.526 +- 0.386914 (stat) - 1.89298 + 1.86678 (syst); -1.90284/+1.87677 (total)
-   Uncertainty on sg_p1 = 23.7778 +- 0.370943 (stat) - 2.48235 + 0.0142669 (syst); -2.48927/+0.18602 (total)
-   Uncertainty on sg_p2 = 1.45537 +- 0.0709082 (stat) - 0.32505 + 0.00214348 (syst); -0.326977/+0.0355188 (total)
-   Uncertainty on sg_p3 = 1.20603 +- 0.0381052 (stat) - 0.182102 + 0.000222545 (syst); -0.183096/+0.0190539 (total)
-   === Baseline plot === </br>
-   norm = 206.504
-JEC     lnN   1.01674  -
-JER     lnN   1.01351  -
-btag    lnN   1.07417  -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt
deleted file mode 100644
index 39fa283..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.34388 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07603    -
-JER       lnN     1.01239   - 
-JEC       lnN     1.00978   -
-trigger   lnN     1.10    -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_crystal_1_550_1200/signal800_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_crystal_1_550_1200/signal800_sig.log
deleted file mode 100644
index 9bb688f..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_crystal_1_550_1200/signal800_sig.log
+++ /dev/null
@@ -1,986 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30655.7 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -1.30426e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -1.66737e+02
-   3  sg_p2        2.94124e+00   5.00000e-01   0.00000e+00  -1.49475e-01
-   4  sg_p3        1.57852e+00   7.00000e-01  -5.81159e-01   2.58563e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM MIGRAD    STATUS=CONVERGED     151 CALLS         152 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   1.11551e-01
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   1.05806e-01
-   3  sg_p2        4.91276e+00   3.42658e+00  -3.03050e-03   0.00000e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -1.47920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM HESSE     STATUS=FAILED          7 CALLS         159 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   8.63427e-03
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   2.27549e-01
-   3  sg_p2        4.30353e+00   3.12197e+00  -3.03050e-03   1.30584e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -4.65886e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-790.259 +- 0.537023
-40.3199 +- 0.416552
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30957.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -4.59580e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -2.30328e+02
-   3  sg_p2        1.77977e+00   5.00000e-01   0.00000e+00   5.54337e-01
-   4  sg_p3        1.71207e+00   7.00000e-01  -5.36159e-01   1.57191e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02296 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.52673e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57072e-01   2.22239e-03   2.71391e-03
-   2  sg_p1        4.08795e+01   4.57494e-01   4.30357e-03   8.95731e-02
-   3  sg_p2        2.60706e+00   9.43716e-01   4.61396e-02  -1.14830e-02
-   4  sg_p3        1.95465e+00   1.29415e-01   4.57004e-03  -4.88228e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02637 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM MIGRAD    STATUS=CONVERGED     377 CALLS         378 TOTAL
-                     EDM=5.46872e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57319e-01   8.88956e-04  -1.24563e-04
-   2  sg_p1        4.08783e+01   4.58216e-01   1.72143e-03  -1.67615e-04
-   3  sg_p2        2.61137e+00   9.86696e-01   4.70300e-02  -5.75769e-03
-   4  sg_p3        1.95475e+00   1.29727e-01   1.82801e-03   4.70590e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.106e-01 -1.282e-02  1.973e-11 -1.514e-02 
- -1.282e-02  2.101e-01 -3.231e-10  2.168e-02 
-  1.973e-11 -3.231e-10  1.029e+00 -3.334e-11 
- -1.514e-02  2.168e-02 -3.334e-11  1.684e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21127   1.000 -0.050  0.000 -0.209
-        2  0.36542  -0.050  1.000 -0.000  0.364
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.41162  -0.209  0.364 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             29 CALLS         407 TOTAL
-                     EDM=1.45739e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.93825e+02   5.57488e-01   3.55582e-05   1.27840e-01
-   2  sg_p1        4.08783e+01   4.58705e-01   6.88571e-05   2.73664e-01
-   3  sg_p2        2.61137e+00   3.15165e-01   3.77936e-01   4.45612e-02
-   4  sg_p3        1.95475e+00   1.29897e-01   7.31206e-05  -4.57269e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.108e-01 -1.327e-02  9.363e-11 -1.527e-02 
- -1.327e-02  2.105e-01 -6.593e-11  2.188e-02 
-  9.363e-11 -6.593e-11  9.986e-02  1.258e-11 
- -1.527e-02  2.188e-02  1.258e-11  1.688e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21263   1.000 -0.052  0.000 -0.211
-        2  0.36794  -0.052  1.000 -0.000  0.367
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.41424  -0.211  0.367  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-793.825 +- 0.557488
-40.8783 +- 0.458705
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30291.5 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00   1.95885e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -7.27088e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -9.73752e-02
-   4  sg_p3        1.38901e+00   7.00000e-01  -6.47432e-01   2.33654e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=8.78757e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.86674e+02   5.58720e-01   2.15921e-03  -1.99988e-01
-   2  sg_p1        4.00594e+01   4.59169e-01   4.05661e-03   3.84165e-02
-   3  sg_p2        2.51479e+00   3.25925e-01   2.03755e-02   4.90232e-02
-   4  sg_p3        1.92655e+00   1.49829e-01   4.93143e-03   8.21834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.122e-01 -3.425e-02  1.692e-03 -2.360e-02 
- -3.425e-02  2.109e-01  3.630e-03  2.988e-02 
-  1.692e-03  3.630e-03  1.068e-01  4.290e-04 
- -2.360e-02  2.988e-02  4.290e-04  2.247e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28235   1.000 -0.133  0.009 -0.282
-        2  0.43476  -0.133  1.000  0.024  0.434
-        3  0.02730   0.009  0.024  1.000  0.009
-        4  0.48938  -0.282  0.434  0.009  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM HESSE     STATUS=OK             33 CALLS         196 TOTAL
-                     EDM=6.62467e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.86674e+02   5.59678e-01   4.31843e-04  -1.11107e-01
-   2  sg_p1        4.00594e+01   4.61116e-01   1.62264e-04   2.06214e-01
-   3  sg_p2        2.51479e+00   2.22927e-01   4.53587e-01   5.91504e-03
-   4  sg_p3        1.92655e+00   1.50658e-01   1.97257e-04  -4.66270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.133e-01 -3.601e-02  1.955e-04 -2.426e-02 
- -3.601e-02  2.127e-01  4.139e-04  3.075e-02 
-  1.955e-04  4.139e-04  4.983e-02  4.614e-05 
- -2.426e-02  3.075e-02  4.614e-05  2.272e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28788   1.000 -0.140  0.002 -0.288
-        2  0.44255  -0.140  1.000  0.004  0.442
-        3  0.00456   0.002  0.004  1.000  0.001
-        4  0.49768  -0.288  0.442  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-786.674 +- 0.559678
-40.0594 +- 0.461116
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29080.5 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.86811e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.59388e+01
-   3  sg_p2        1.11453e+00   5.00000e-01   0.00000e+00   1.02248e+02
-   4  sg_p3        1.01032e+00   7.00000e-01  -7.91400e-01  -4.01707e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=2.80961e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14374e+02   3.98724e-01   1.45304e-03  -1.70387e-01
-   2  sg_p1        2.58336e+01   3.59782e-01   4.89449e-03   8.13003e-02
-   3  sg_p2        1.67359e+00   7.19571e-02   3.19487e-03   5.88230e-02
-   4  sg_p3        1.19124e+00   3.46142e-02   1.23219e-03  -4.28854e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.590e-01 -2.453e-02  3.541e-03 -4.624e-03 
- -2.453e-02  1.296e-01  1.051e-02  6.871e-03 
-  3.541e-03  1.051e-02  5.179e-03  5.110e-04 
- -4.624e-03  6.871e-03  5.110e-04  1.198e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39250   1.000 -0.171  0.123 -0.335
-        2  0.62921  -0.171  1.000  0.406  0.551
-        3  0.45197   0.123  0.406  1.000  0.205
-        4  0.60406  -0.335  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM HESSE     STATUS=OK             23 CALLS         232 TOTAL
-                     EDM=2.80811e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14374e+02   3.98978e-01   2.90608e-04   1.46314e-01
-   2  sg_p1        2.58336e+01   3.61130e-01   1.95780e-04   4.60594e-01
-   3  sg_p2        1.67359e+00   7.21418e-02   1.27795e-04  -3.36900e-01
-   4  sg_p3        1.19124e+00   3.46971e-02   2.46437e-04  -7.20348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.592e-01 -2.477e-02  3.557e-03 -4.644e-03 
- -2.477e-02  1.305e-01  1.069e-02  6.950e-03 
-  3.557e-03  1.069e-02  5.206e-03  5.225e-04 
- -4.644e-03  6.950e-03  5.225e-04  1.204e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39387   1.000 -0.172  0.124 -0.335
-        2  0.63278  -0.172  1.000  0.410  0.554
-        3  0.45643   0.124  0.410  1.000  0.209
-        4  0.60656  -0.335  0.554  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.374 +- 0.398978
-25.8336 +- 0.36113
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29394.8 FROM MIGRAD    STATUS=INITIATE       76 CALLS          77 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.09344e+02   6.00000e+00   0.00000e+00  -9.04905e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.79169e+02
-   3  sg_p2        1.02066e+00   5.00000e-01   0.00000e+00   2.33092e+02
-   4  sg_p3        1.24736e+00   7.00000e-01  -6.99207e-01   3.18929e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM MIGRAD    STATUS=CONVERGED     227 CALLS         228 TOTAL
-                     EDM=6.02107e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.15934e+02   4.09344e-01   1.49430e-03  -1.08719e-01
-   2  sg_p1        2.62317e+01   4.03039e-01   5.19030e-03   1.33417e-01
-   3  sg_p2        1.65790e+00   9.28346e-02   3.66697e-03   4.58391e-02
-   4  sg_p3        1.21792e+00   3.62585e-02   1.27250e-03  -4.88031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.676e-01 -5.450e-03  9.103e-03 -3.808e-03 
- -5.450e-03  1.626e-01  2.111e-02  8.287e-03 
-  9.103e-03  2.111e-02  8.623e-03  9.650e-04 
- -3.808e-03  8.287e-03  9.650e-04  1.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41684   1.000 -0.033  0.239 -0.257
-        2  0.70520  -0.033  1.000  0.564  0.567
-        3  0.62110   0.239  0.564  1.000  0.287
-        4  0.61571  -0.257  0.567  0.287  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM HESSE     STATUS=OK             23 CALLS         251 TOTAL
-                     EDM=6.06559e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.15934e+02   4.09665e-01   2.98861e-04   1.99109e-01
-   2  sg_p1        2.62317e+01   4.05359e-01   1.03806e-03   5.20781e-01
-   3  sg_p2        1.65790e+00   9.33088e-02   1.46679e-04  -3.43559e-01
-   4  sg_p3        1.21792e+00   3.63707e-02   2.54500e-04  -7.10248e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.678e-01 -5.327e-03  9.198e-03 -3.807e-03 
- -5.327e-03  1.645e-01  2.154e-02  8.414e-03 
-  9.198e-03  2.154e-02  8.711e-03  9.903e-04 
- -3.807e-03  8.414e-03  9.903e-04  1.323e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41838   1.000 -0.032  0.241 -0.256
-        2  0.70926  -0.032  1.000  0.569  0.570
-        3  0.62607   0.241  0.569  1.000  0.292
-        4  0.61881  -0.256  0.570  0.292  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-815.934 +- 0.409665
-26.2317 +- 0.405359
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28612.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -3.00114e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.67115e+02
-   3  sg_p2        1.20214e+00   5.00000e-01   0.00000e+00   4.55233e+01
-   4  sg_p3        1.18762e+00   7.00000e-01  -7.21725e-01   3.91659e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.9336e-01  9.8220e-01  1.9260e+00  1.9851e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.895346 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         216 TOTAL
-                     EDM=0.158425    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12468e+02   1.41859e+00   1.44554e-03   6.97099e+00
-   2  sg_p1        2.52532e+01   1.08302e+00   4.75756e-03  -1.78654e+00
-   3  sg_p2        1.59901e+00   3.19025e-01   4.11832e-03  -4.02743e+00
-   4  sg_p3        1.18510e+00   2.53698e-02   1.13700e-04   9.82264e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00001 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=28570.4 FROM MIGRAD    STATUS=FAILED        279 CALLS         280 TOTAL
-                     EDM=10.5145    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12542e+02   1.94194e+01  -0.00000e+00   1.21944e+01
-   2  sg_p1        2.53088e+01   4.51787e+00  -0.00000e+00   3.98569e-01
-   3  sg_p2        1.61558e+00   1.51911e+00   0.00000e+00  -5.79777e+00
-   4  sg_p3        1.18237e+00   1.70381e+00  -0.00000e+00   1.97176e+02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.468e+02  5.233e-03  1.508e-03  6.862e-04 
-  5.233e-03  2.418e+01 -1.914e-04  5.328e-04 
-  1.508e-03 -1.914e-04  2.734e+00  1.653e-04 
-  6.862e-04  5.328e-04  1.653e-04  3.439e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00007   1.000  0.000  0.000  0.000
-        2  0.00008   0.000  1.000 -0.000  0.000
-        3  0.00007   0.000 -0.000  1.000  0.000
-        4  0.00008   0.000  0.000  0.000  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2546e+02 -1.0036e+01  1.2036e+01  1.2746e+02
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 125.585418 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         305 TOTAL
-                     EDM=0.206098    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.12542e+02   3.32392e-02   4.24522e-04   8.48346e-02
-   2  sg_p1        2.53088e+01   5.64200e-01   1.39644e-03   3.83861e-01
-   3  sg_p2        1.61558e+00   1.70424e-01   1.23980e-03  -3.61595e-01
-   4  sg_p3        1.18237e+00   2.19991e-04   3.58849e-04  -7.23724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.105e-03 -1.843e-03  5.571e-04  6.264e-07 
- -1.843e-03  3.190e-01 -9.625e-02  1.380e-06 
-  5.571e-04 -9.625e-02  2.910e-02 -4.175e-07 
-  6.264e-07  1.380e-06 -4.175e-07  4.840e-08 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.13108   1.000 -0.098  0.098  0.086
-        2  0.99899  -0.098  1.000 -0.999  0.011
-        3  0.99899   0.098 -0.999  1.000 -0.011
-        4  0.08788   0.086  0.011 -0.011  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-812.542 +- 0.0332392
-25.3088 +- 0.5642
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28766.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -7.66248e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -9.03266e+01
-   3  sg_p2        1.08494e+00   5.00000e-01   0.00000e+00   1.09698e+02
-   4  sg_p3        1.05971e+00   7.00000e-01  -7.71521e-01  -1.09172e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=5.14966e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14565e+02   4.05653e-01   1.46940e-03   3.96359e-01
-   2  sg_p1        2.60283e+01   3.68198e-01   5.02230e-03   5.50486e-02
-   3  sg_p2        1.66109e+00   7.22853e-02   3.19557e-03   8.70441e-02
-   4  sg_p3        1.18488e+00   3.46494e-02   1.22798e-03  -1.02684e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.646e-01 -2.497e-02  3.759e-03 -4.697e-03 
- -2.497e-02  1.357e-01  1.103e-02  7.081e-03 
-  3.759e-03  1.103e-02  5.227e-03  5.271e-04 
- -4.697e-03  7.081e-03  5.271e-04  1.201e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39503   1.000 -0.167  0.128 -0.334
-        2  0.63439  -0.167  1.000  0.414  0.555
-        3  0.46146   0.128  0.414  1.000  0.210
-        4  0.60729  -0.334  0.555  0.210  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=5.16859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14565e+02   4.05931e-01   2.93880e-04   1.52758e-01
-   2  sg_p1        2.60283e+01   3.69660e-01   2.00892e-04   4.89788e-01
-   3  sg_p2        1.66109e+00   7.24828e-02   1.27823e-04  -3.42202e-01
-   4  sg_p3        1.18488e+00   3.47387e-02   4.91192e-05  -7.22769e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.648e-01 -2.523e-02  3.775e-03 -4.720e-03 
- -2.523e-02  1.368e-01  1.122e-02  7.167e-03 
-  3.775e-03  1.122e-02  5.255e-03  5.394e-04 
- -4.720e-03  7.167e-03  5.394e-04  1.207e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39649   1.000 -0.168  0.128 -0.335
-        2  0.63810  -0.168  1.000  0.419  0.558
-        3  0.46606   0.128  0.419  1.000  0.214
-        4  0.60995  -0.335  0.558  0.214  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.565 +- 0.405931
-26.0283 +- 0.36966
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29348.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -6.36592e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.83918e+02
-   3  sg_p2        1.15597e+00   5.00000e-01   0.00000e+00   8.24903e+01
-   4  sg_p3        1.21818e+00   7.00000e-01  -7.10151e-01   3.68287e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.20841e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14234e+02   3.90817e-01   1.43143e-03  -2.25892e-01
-   2  sg_p1        2.55644e+01   3.48997e-01   4.72433e-03   4.76414e-02
-   3  sg_p2        1.70026e+00   7.24860e-02   3.26136e-03  -2.01102e-02
-   4  sg_p3        1.19325e+00   3.43060e-02   1.23128e-03  -1.60765e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.527e-01 -2.472e-02  3.207e-03 -4.545e-03 
- -2.472e-02  1.219e-01  9.868e-03  6.557e-03 
-  3.207e-03  9.868e-03  5.256e-03  4.874e-04 
- -4.545e-03  6.557e-03  4.874e-04  1.177e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39017   1.000 -0.181  0.113 -0.339
-        2  0.62081  -0.181  1.000  0.390  0.547
-        3  0.43378   0.113  0.390  1.000  0.196
-        4  0.60004  -0.339  0.547  0.196  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=1.20945e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14234e+02   3.91082e-01   2.86287e-04   1.41589e-01
-   2  sg_p1        2.55644e+01   3.50246e-01   1.88973e-04   4.20910e-01
-   3  sg_p2        1.70026e+00   7.26609e-02   1.30454e-04  -3.25619e-01
-   4  sg_p3        1.19325e+00   3.43857e-02   4.92513e-05  -7.19583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.530e-01 -2.496e-02  3.222e-03 -4.567e-03 
- -2.496e-02  1.228e-01  1.004e-02  6.630e-03 
-  3.222e-03  1.004e-02  5.281e-03  4.983e-04 
- -4.567e-03  6.630e-03  4.983e-04  1.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39164   1.000 -0.182  0.113 -0.340
-        2  0.62433  -0.182  1.000  0.394  0.550
-        3  0.43823   0.113  0.394  1.000  0.199
-        4  0.60250  -0.340  0.550  0.199  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.234 +- 0.391082
-25.5644 +- 0.350246
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26933.9 FROM MIGRAD    STATUS=INITIATE       65 CALLS          66 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.02085e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -6.48182e+01
-   3  sg_p2        1.12090e+00   5.00000e-01   0.00000e+00   8.31490e+01
-   4  sg_p3        1.00741e+00   7.00000e-01  -7.92584e-01  -3.93256e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM MIGRAD    STATUS=CONVERGED     255 CALLS         256 TOTAL
-                     EDM=5.05705e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14343e+02   4.13939e-01   1.45196e-03  -9.37591e-03
-   2  sg_p1        2.58276e+01   3.73340e-01   4.89042e-03   1.50340e-02
-   3  sg_p2        1.67484e+00   7.48885e-02   3.20560e-03  -1.09220e-03
-   4  sg_p3        1.19229e+00   3.59871e-02   1.23468e-03  -4.69920e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.714e-01 -2.629e-02  3.837e-03 -4.978e-03 
- -2.629e-02  1.395e-01  1.135e-02  7.403e-03 
-  3.837e-03  1.135e-02  5.610e-03  5.519e-04 
- -4.978e-03  7.403e-03  5.519e-04  1.295e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39181   1.000 -0.170  0.124 -0.334
-        2  0.62863  -0.170  1.000  0.406  0.551
-        3  0.45181   0.124  0.406  1.000  0.205
-        4  0.60326  -0.334  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM HESSE     STATUS=OK             23 CALLS         279 TOTAL
-                     EDM=5.06656e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14343e+02   4.14229e-01   5.80783e-05   1.45269e-01
-   2  sg_p1        2.58276e+01   3.74765e-01   1.95617e-04   4.59703e-01
-   3  sg_p2        1.67484e+00   7.50817e-02   1.28224e-04  -3.36369e-01
-   4  sg_p3        1.19229e+00   3.60762e-02   4.93874e-05  -7.19948e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.716e-01 -2.658e-02  3.854e-03 -5.003e-03 
- -2.658e-02  1.406e-01  1.154e-02  7.491e-03 
-  3.854e-03  1.154e-02  5.639e-03  5.644e-04 
- -5.003e-03  7.491e-03  5.644e-04  1.302e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39332   1.000 -0.171  0.124 -0.335
-        2  0.63227  -0.171  1.000  0.410  0.554
-        3  0.45629   0.124  0.410  1.000  0.208
-        4  0.60585  -0.335  0.554  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.343 +- 0.414229
-25.8276 +- 0.374765
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31351.8 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -9.46989e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.83441e+01
-   3  sg_p2        1.10816e+00   5.00000e-01   0.00000e+00   1.09432e+02
-   4  sg_p3        1.01312e+00   7.00000e-01  -7.90261e-01  -4.08568e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM MIGRAD    STATUS=CONVERGED     190 CALLS         191 TOTAL
-                     EDM=0.000282451    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14404e+02   3.84308e-01   1.45349e-03  -2.57491e-01
-   2  sg_p1        2.58356e+01   3.46779e-01   4.90055e-03  -2.87296e-01
-   3  sg_p2        1.67287e+00   6.92592e-02   3.19853e-03   5.88350e-01
-   4  sg_p3        1.19029e+00   3.33252e-02   1.23266e-03   1.10421e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.477e-01 -2.290e-02  3.276e-03 -4.302e-03 
- -2.290e-02  1.204e-01  9.759e-03  6.385e-03 
-  3.276e-03  9.759e-03  4.798e-03  4.745e-04 
- -4.302e-03  6.385e-03  4.745e-04  1.111e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39330   1.000 -0.172  0.123 -0.336
-        2  0.62986  -0.172  1.000  0.406  0.552
-        3  0.45226   0.123  0.406  1.000  0.206
-        4  0.60490  -0.336  0.552  0.206  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM HESSE     STATUS=OK             23 CALLS         214 TOTAL
-                     EDM=0.000282194    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14404e+02   3.84550e-01   2.90698e-04   1.47348e-01
-   2  sg_p1        2.58356e+01   3.47902e-01   9.80110e-04   4.60888e-01
-   3  sg_p2        1.67287e+00   6.94090e-02   6.39706e-04  -3.37208e-01
-   4  sg_p3        1.19029e+00   3.33968e-02   4.93065e-05  -7.20709e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.479e-01 -2.313e-02  3.287e-03 -4.322e-03 
- -2.313e-02  1.211e-01  9.898e-03  6.450e-03 
-  3.287e-03  9.898e-03  4.819e-03  4.836e-04 
- -4.322e-03  6.450e-03  4.836e-04  1.115e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39464   1.000 -0.173  0.123 -0.336
-        2  0.63294  -0.173  1.000  0.410  0.555
-        3  0.45602   0.123  0.410  1.000  0.209
-        4  0.60714  -0.336  0.555  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.404 +- 0.38455
-25.8356 +- 0.347902
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 814.374 +- 0.398978 (stat) - 1.83178 + 1.56012 (syst); -1.84261/+1.57282 (total)
-   Uncertainty on sg_p1 = 25.8336 +- 0.36113 (stat) - 0.524827 + 0.398085 (syst); -0.55502/+0.437122 (total)
-   Uncertainty on sg_p2 = 1.67359 +- 0.0721418 (stat) - 0.0580086 + 0.0266696 (syst); -0.0683089/+0.0448595 (total)
-   Uncertainty on sg_p3 = 1.19124 +- 0.0346971 (stat) - 0.00886586 + 0.0266863 (syst); -0.0194827/+0.0318297 (total)
-   === Baseline plot === </br>
-   norm = 217.194
-JEC     lnN   1.00978  -
-JER     lnN   1.01239  -
-btag    lnN   1.07603  -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
deleted file mode 100644
index 60a26ed..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.34388 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07603    -
-JER       lnN     1.01239   - 
-JEC       lnN     1.00978   -
-trigger   lnN     1.10    -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_novo_550_1200/signal800_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_novo_550_1200/signal800_sig.log
deleted file mode 100644
index 9bb688f..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_800_novo_550_1200/signal800_sig.log
+++ /dev/null
@@ -1,986 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30655.7 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -1.30426e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -1.66737e+02
-   3  sg_p2        2.94124e+00   5.00000e-01   0.00000e+00  -1.49475e-01
-   4  sg_p3        1.57852e+00   7.00000e-01  -5.81159e-01   2.58563e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM MIGRAD    STATUS=CONVERGED     151 CALLS         152 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   1.11551e-01
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   1.05806e-01
-   3  sg_p2        4.91276e+00   3.42658e+00  -3.03050e-03   0.00000e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -1.47920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM HESSE     STATUS=FAILED          7 CALLS         159 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   8.63427e-03
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   2.27549e-01
-   3  sg_p2        4.30353e+00   3.12197e+00  -3.03050e-03   1.30584e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -4.65886e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-790.259 +- 0.537023
-40.3199 +- 0.416552
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30957.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -4.59580e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -2.30328e+02
-   3  sg_p2        1.77977e+00   5.00000e-01   0.00000e+00   5.54337e-01
-   4  sg_p3        1.71207e+00   7.00000e-01  -5.36159e-01   1.57191e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02296 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.52673e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57072e-01   2.22239e-03   2.71391e-03
-   2  sg_p1        4.08795e+01   4.57494e-01   4.30357e-03   8.95731e-02
-   3  sg_p2        2.60706e+00   9.43716e-01   4.61396e-02  -1.14830e-02
-   4  sg_p3        1.95465e+00   1.29415e-01   4.57004e-03  -4.88228e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02637 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM MIGRAD    STATUS=CONVERGED     377 CALLS         378 TOTAL
-                     EDM=5.46872e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57319e-01   8.88956e-04  -1.24563e-04
-   2  sg_p1        4.08783e+01   4.58216e-01   1.72143e-03  -1.67615e-04
-   3  sg_p2        2.61137e+00   9.86696e-01   4.70300e-02  -5.75769e-03
-   4  sg_p3        1.95475e+00   1.29727e-01   1.82801e-03   4.70590e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.106e-01 -1.282e-02  1.973e-11 -1.514e-02 
- -1.282e-02  2.101e-01 -3.231e-10  2.168e-02 
-  1.973e-11 -3.231e-10  1.029e+00 -3.334e-11 
- -1.514e-02  2.168e-02 -3.334e-11  1.684e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21127   1.000 -0.050  0.000 -0.209
-        2  0.36542  -0.050  1.000 -0.000  0.364
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.41162  -0.209  0.364 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             29 CALLS         407 TOTAL
-                     EDM=1.45739e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.93825e+02   5.57488e-01   3.55582e-05   1.27840e-01
-   2  sg_p1        4.08783e+01   4.58705e-01   6.88571e-05   2.73664e-01
-   3  sg_p2        2.61137e+00   3.15165e-01   3.77936e-01   4.45612e-02
-   4  sg_p3        1.95475e+00   1.29897e-01   7.31206e-05  -4.57269e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.108e-01 -1.327e-02  9.363e-11 -1.527e-02 
- -1.327e-02  2.105e-01 -6.593e-11  2.188e-02 
-  9.363e-11 -6.593e-11  9.986e-02  1.258e-11 
- -1.527e-02  2.188e-02  1.258e-11  1.688e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21263   1.000 -0.052  0.000 -0.211
-        2  0.36794  -0.052  1.000 -0.000  0.367
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.41424  -0.211  0.367  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-793.825 +- 0.557488
-40.8783 +- 0.458705
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30291.5 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00   1.95885e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -7.27088e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -9.73752e-02
-   4  sg_p3        1.38901e+00   7.00000e-01  -6.47432e-01   2.33654e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=8.78757e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.86674e+02   5.58720e-01   2.15921e-03  -1.99988e-01
-   2  sg_p1        4.00594e+01   4.59169e-01   4.05661e-03   3.84165e-02
-   3  sg_p2        2.51479e+00   3.25925e-01   2.03755e-02   4.90232e-02
-   4  sg_p3        1.92655e+00   1.49829e-01   4.93143e-03   8.21834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.122e-01 -3.425e-02  1.692e-03 -2.360e-02 
- -3.425e-02  2.109e-01  3.630e-03  2.988e-02 
-  1.692e-03  3.630e-03  1.068e-01  4.290e-04 
- -2.360e-02  2.988e-02  4.290e-04  2.247e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28235   1.000 -0.133  0.009 -0.282
-        2  0.43476  -0.133  1.000  0.024  0.434
-        3  0.02730   0.009  0.024  1.000  0.009
-        4  0.48938  -0.282  0.434  0.009  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM HESSE     STATUS=OK             33 CALLS         196 TOTAL
-                     EDM=6.62467e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.86674e+02   5.59678e-01   4.31843e-04  -1.11107e-01
-   2  sg_p1        4.00594e+01   4.61116e-01   1.62264e-04   2.06214e-01
-   3  sg_p2        2.51479e+00   2.22927e-01   4.53587e-01   5.91504e-03
-   4  sg_p3        1.92655e+00   1.50658e-01   1.97257e-04  -4.66270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.133e-01 -3.601e-02  1.955e-04 -2.426e-02 
- -3.601e-02  2.127e-01  4.139e-04  3.075e-02 
-  1.955e-04  4.139e-04  4.983e-02  4.614e-05 
- -2.426e-02  3.075e-02  4.614e-05  2.272e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28788   1.000 -0.140  0.002 -0.288
-        2  0.44255  -0.140  1.000  0.004  0.442
-        3  0.00456   0.002  0.004  1.000  0.001
-        4  0.49768  -0.288  0.442  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-786.674 +- 0.559678
-40.0594 +- 0.461116
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29080.5 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.86811e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.59388e+01
-   3  sg_p2        1.11453e+00   5.00000e-01   0.00000e+00   1.02248e+02
-   4  sg_p3        1.01032e+00   7.00000e-01  -7.91400e-01  -4.01707e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=2.80961e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14374e+02   3.98724e-01   1.45304e-03  -1.70387e-01
-   2  sg_p1        2.58336e+01   3.59782e-01   4.89449e-03   8.13003e-02
-   3  sg_p2        1.67359e+00   7.19571e-02   3.19487e-03   5.88230e-02
-   4  sg_p3        1.19124e+00   3.46142e-02   1.23219e-03  -4.28854e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.590e-01 -2.453e-02  3.541e-03 -4.624e-03 
- -2.453e-02  1.296e-01  1.051e-02  6.871e-03 
-  3.541e-03  1.051e-02  5.179e-03  5.110e-04 
- -4.624e-03  6.871e-03  5.110e-04  1.198e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39250   1.000 -0.171  0.123 -0.335
-        2  0.62921  -0.171  1.000  0.406  0.551
-        3  0.45197   0.123  0.406  1.000  0.205
-        4  0.60406  -0.335  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM HESSE     STATUS=OK             23 CALLS         232 TOTAL
-                     EDM=2.80811e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14374e+02   3.98978e-01   2.90608e-04   1.46314e-01
-   2  sg_p1        2.58336e+01   3.61130e-01   1.95780e-04   4.60594e-01
-   3  sg_p2        1.67359e+00   7.21418e-02   1.27795e-04  -3.36900e-01
-   4  sg_p3        1.19124e+00   3.46971e-02   2.46437e-04  -7.20348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.592e-01 -2.477e-02  3.557e-03 -4.644e-03 
- -2.477e-02  1.305e-01  1.069e-02  6.950e-03 
-  3.557e-03  1.069e-02  5.206e-03  5.225e-04 
- -4.644e-03  6.950e-03  5.225e-04  1.204e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39387   1.000 -0.172  0.124 -0.335
-        2  0.63278  -0.172  1.000  0.410  0.554
-        3  0.45643   0.124  0.410  1.000  0.209
-        4  0.60656  -0.335  0.554  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.374 +- 0.398978
-25.8336 +- 0.36113
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29394.8 FROM MIGRAD    STATUS=INITIATE       76 CALLS          77 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.09344e+02   6.00000e+00   0.00000e+00  -9.04905e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.79169e+02
-   3  sg_p2        1.02066e+00   5.00000e-01   0.00000e+00   2.33092e+02
-   4  sg_p3        1.24736e+00   7.00000e-01  -6.99207e-01   3.18929e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM MIGRAD    STATUS=CONVERGED     227 CALLS         228 TOTAL
-                     EDM=6.02107e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.15934e+02   4.09344e-01   1.49430e-03  -1.08719e-01
-   2  sg_p1        2.62317e+01   4.03039e-01   5.19030e-03   1.33417e-01
-   3  sg_p2        1.65790e+00   9.28346e-02   3.66697e-03   4.58391e-02
-   4  sg_p3        1.21792e+00   3.62585e-02   1.27250e-03  -4.88031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.676e-01 -5.450e-03  9.103e-03 -3.808e-03 
- -5.450e-03  1.626e-01  2.111e-02  8.287e-03 
-  9.103e-03  2.111e-02  8.623e-03  9.650e-04 
- -3.808e-03  8.287e-03  9.650e-04  1.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41684   1.000 -0.033  0.239 -0.257
-        2  0.70520  -0.033  1.000  0.564  0.567
-        3  0.62110   0.239  0.564  1.000  0.287
-        4  0.61571  -0.257  0.567  0.287  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM HESSE     STATUS=OK             23 CALLS         251 TOTAL
-                     EDM=6.06559e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.15934e+02   4.09665e-01   2.98861e-04   1.99109e-01
-   2  sg_p1        2.62317e+01   4.05359e-01   1.03806e-03   5.20781e-01
-   3  sg_p2        1.65790e+00   9.33088e-02   1.46679e-04  -3.43559e-01
-   4  sg_p3        1.21792e+00   3.63707e-02   2.54500e-04  -7.10248e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.678e-01 -5.327e-03  9.198e-03 -3.807e-03 
- -5.327e-03  1.645e-01  2.154e-02  8.414e-03 
-  9.198e-03  2.154e-02  8.711e-03  9.903e-04 
- -3.807e-03  8.414e-03  9.903e-04  1.323e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41838   1.000 -0.032  0.241 -0.256
-        2  0.70926  -0.032  1.000  0.569  0.570
-        3  0.62607   0.241  0.569  1.000  0.292
-        4  0.61881  -0.256  0.570  0.292  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-815.934 +- 0.409665
-26.2317 +- 0.405359
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28612.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -3.00114e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.67115e+02
-   3  sg_p2        1.20214e+00   5.00000e-01   0.00000e+00   4.55233e+01
-   4  sg_p3        1.18762e+00   7.00000e-01  -7.21725e-01   3.91659e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.9336e-01  9.8220e-01  1.9260e+00  1.9851e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.895346 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         216 TOTAL
-                     EDM=0.158425    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12468e+02   1.41859e+00   1.44554e-03   6.97099e+00
-   2  sg_p1        2.52532e+01   1.08302e+00   4.75756e-03  -1.78654e+00
-   3  sg_p2        1.59901e+00   3.19025e-01   4.11832e-03  -4.02743e+00
-   4  sg_p3        1.18510e+00   2.53698e-02   1.13700e-04   9.82264e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00001 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=28570.4 FROM MIGRAD    STATUS=FAILED        279 CALLS         280 TOTAL
-                     EDM=10.5145    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12542e+02   1.94194e+01  -0.00000e+00   1.21944e+01
-   2  sg_p1        2.53088e+01   4.51787e+00  -0.00000e+00   3.98569e-01
-   3  sg_p2        1.61558e+00   1.51911e+00   0.00000e+00  -5.79777e+00
-   4  sg_p3        1.18237e+00   1.70381e+00  -0.00000e+00   1.97176e+02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.468e+02  5.233e-03  1.508e-03  6.862e-04 
-  5.233e-03  2.418e+01 -1.914e-04  5.328e-04 
-  1.508e-03 -1.914e-04  2.734e+00  1.653e-04 
-  6.862e-04  5.328e-04  1.653e-04  3.439e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00007   1.000  0.000  0.000  0.000
-        2  0.00008   0.000  1.000 -0.000  0.000
-        3  0.00007   0.000 -0.000  1.000  0.000
-        4  0.00008   0.000  0.000  0.000  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2546e+02 -1.0036e+01  1.2036e+01  1.2746e+02
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 125.585418 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         305 TOTAL
-                     EDM=0.206098    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.12542e+02   3.32392e-02   4.24522e-04   8.48346e-02
-   2  sg_p1        2.53088e+01   5.64200e-01   1.39644e-03   3.83861e-01
-   3  sg_p2        1.61558e+00   1.70424e-01   1.23980e-03  -3.61595e-01
-   4  sg_p3        1.18237e+00   2.19991e-04   3.58849e-04  -7.23724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.105e-03 -1.843e-03  5.571e-04  6.264e-07 
- -1.843e-03  3.190e-01 -9.625e-02  1.380e-06 
-  5.571e-04 -9.625e-02  2.910e-02 -4.175e-07 
-  6.264e-07  1.380e-06 -4.175e-07  4.840e-08 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.13108   1.000 -0.098  0.098  0.086
-        2  0.99899  -0.098  1.000 -0.999  0.011
-        3  0.99899   0.098 -0.999  1.000 -0.011
-        4  0.08788   0.086  0.011 -0.011  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-812.542 +- 0.0332392
-25.3088 +- 0.5642
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28766.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -7.66248e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -9.03266e+01
-   3  sg_p2        1.08494e+00   5.00000e-01   0.00000e+00   1.09698e+02
-   4  sg_p3        1.05971e+00   7.00000e-01  -7.71521e-01  -1.09172e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=5.14966e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14565e+02   4.05653e-01   1.46940e-03   3.96359e-01
-   2  sg_p1        2.60283e+01   3.68198e-01   5.02230e-03   5.50486e-02
-   3  sg_p2        1.66109e+00   7.22853e-02   3.19557e-03   8.70441e-02
-   4  sg_p3        1.18488e+00   3.46494e-02   1.22798e-03  -1.02684e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.646e-01 -2.497e-02  3.759e-03 -4.697e-03 
- -2.497e-02  1.357e-01  1.103e-02  7.081e-03 
-  3.759e-03  1.103e-02  5.227e-03  5.271e-04 
- -4.697e-03  7.081e-03  5.271e-04  1.201e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39503   1.000 -0.167  0.128 -0.334
-        2  0.63439  -0.167  1.000  0.414  0.555
-        3  0.46146   0.128  0.414  1.000  0.210
-        4  0.60729  -0.334  0.555  0.210  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=5.16859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14565e+02   4.05931e-01   2.93880e-04   1.52758e-01
-   2  sg_p1        2.60283e+01   3.69660e-01   2.00892e-04   4.89788e-01
-   3  sg_p2        1.66109e+00   7.24828e-02   1.27823e-04  -3.42202e-01
-   4  sg_p3        1.18488e+00   3.47387e-02   4.91192e-05  -7.22769e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.648e-01 -2.523e-02  3.775e-03 -4.720e-03 
- -2.523e-02  1.368e-01  1.122e-02  7.167e-03 
-  3.775e-03  1.122e-02  5.255e-03  5.394e-04 
- -4.720e-03  7.167e-03  5.394e-04  1.207e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39649   1.000 -0.168  0.128 -0.335
-        2  0.63810  -0.168  1.000  0.419  0.558
-        3  0.46606   0.128  0.419  1.000  0.214
-        4  0.60995  -0.335  0.558  0.214  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.565 +- 0.405931
-26.0283 +- 0.36966
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29348.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -6.36592e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.83918e+02
-   3  sg_p2        1.15597e+00   5.00000e-01   0.00000e+00   8.24903e+01
-   4  sg_p3        1.21818e+00   7.00000e-01  -7.10151e-01   3.68287e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.20841e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14234e+02   3.90817e-01   1.43143e-03  -2.25892e-01
-   2  sg_p1        2.55644e+01   3.48997e-01   4.72433e-03   4.76414e-02
-   3  sg_p2        1.70026e+00   7.24860e-02   3.26136e-03  -2.01102e-02
-   4  sg_p3        1.19325e+00   3.43060e-02   1.23128e-03  -1.60765e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.527e-01 -2.472e-02  3.207e-03 -4.545e-03 
- -2.472e-02  1.219e-01  9.868e-03  6.557e-03 
-  3.207e-03  9.868e-03  5.256e-03  4.874e-04 
- -4.545e-03  6.557e-03  4.874e-04  1.177e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39017   1.000 -0.181  0.113 -0.339
-        2  0.62081  -0.181  1.000  0.390  0.547
-        3  0.43378   0.113  0.390  1.000  0.196
-        4  0.60004  -0.339  0.547  0.196  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=1.20945e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14234e+02   3.91082e-01   2.86287e-04   1.41589e-01
-   2  sg_p1        2.55644e+01   3.50246e-01   1.88973e-04   4.20910e-01
-   3  sg_p2        1.70026e+00   7.26609e-02   1.30454e-04  -3.25619e-01
-   4  sg_p3        1.19325e+00   3.43857e-02   4.92513e-05  -7.19583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.530e-01 -2.496e-02  3.222e-03 -4.567e-03 
- -2.496e-02  1.228e-01  1.004e-02  6.630e-03 
-  3.222e-03  1.004e-02  5.281e-03  4.983e-04 
- -4.567e-03  6.630e-03  4.983e-04  1.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39164   1.000 -0.182  0.113 -0.340
-        2  0.62433  -0.182  1.000  0.394  0.550
-        3  0.43823   0.113  0.394  1.000  0.199
-        4  0.60250  -0.340  0.550  0.199  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.234 +- 0.391082
-25.5644 +- 0.350246
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26933.9 FROM MIGRAD    STATUS=INITIATE       65 CALLS          66 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.02085e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -6.48182e+01
-   3  sg_p2        1.12090e+00   5.00000e-01   0.00000e+00   8.31490e+01
-   4  sg_p3        1.00741e+00   7.00000e-01  -7.92584e-01  -3.93256e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM MIGRAD    STATUS=CONVERGED     255 CALLS         256 TOTAL
-                     EDM=5.05705e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14343e+02   4.13939e-01   1.45196e-03  -9.37591e-03
-   2  sg_p1        2.58276e+01   3.73340e-01   4.89042e-03   1.50340e-02
-   3  sg_p2        1.67484e+00   7.48885e-02   3.20560e-03  -1.09220e-03
-   4  sg_p3        1.19229e+00   3.59871e-02   1.23468e-03  -4.69920e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.714e-01 -2.629e-02  3.837e-03 -4.978e-03 
- -2.629e-02  1.395e-01  1.135e-02  7.403e-03 
-  3.837e-03  1.135e-02  5.610e-03  5.519e-04 
- -4.978e-03  7.403e-03  5.519e-04  1.295e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39181   1.000 -0.170  0.124 -0.334
-        2  0.62863  -0.170  1.000  0.406  0.551
-        3  0.45181   0.124  0.406  1.000  0.205
-        4  0.60326  -0.334  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM HESSE     STATUS=OK             23 CALLS         279 TOTAL
-                     EDM=5.06656e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14343e+02   4.14229e-01   5.80783e-05   1.45269e-01
-   2  sg_p1        2.58276e+01   3.74765e-01   1.95617e-04   4.59703e-01
-   3  sg_p2        1.67484e+00   7.50817e-02   1.28224e-04  -3.36369e-01
-   4  sg_p3        1.19229e+00   3.60762e-02   4.93874e-05  -7.19948e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.716e-01 -2.658e-02  3.854e-03 -5.003e-03 
- -2.658e-02  1.406e-01  1.154e-02  7.491e-03 
-  3.854e-03  1.154e-02  5.639e-03  5.644e-04 
- -5.003e-03  7.491e-03  5.644e-04  1.302e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39332   1.000 -0.171  0.124 -0.335
-        2  0.63227  -0.171  1.000  0.410  0.554
-        3  0.45629   0.124  0.410  1.000  0.208
-        4  0.60585  -0.335  0.554  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.343 +- 0.414229
-25.8276 +- 0.374765
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31351.8 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -9.46989e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.83441e+01
-   3  sg_p2        1.10816e+00   5.00000e-01   0.00000e+00   1.09432e+02
-   4  sg_p3        1.01312e+00   7.00000e-01  -7.90261e-01  -4.08568e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM MIGRAD    STATUS=CONVERGED     190 CALLS         191 TOTAL
-                     EDM=0.000282451    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14404e+02   3.84308e-01   1.45349e-03  -2.57491e-01
-   2  sg_p1        2.58356e+01   3.46779e-01   4.90055e-03  -2.87296e-01
-   3  sg_p2        1.67287e+00   6.92592e-02   3.19853e-03   5.88350e-01
-   4  sg_p3        1.19029e+00   3.33252e-02   1.23266e-03   1.10421e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.477e-01 -2.290e-02  3.276e-03 -4.302e-03 
- -2.290e-02  1.204e-01  9.759e-03  6.385e-03 
-  3.276e-03  9.759e-03  4.798e-03  4.745e-04 
- -4.302e-03  6.385e-03  4.745e-04  1.111e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39330   1.000 -0.172  0.123 -0.336
-        2  0.62986  -0.172  1.000  0.406  0.552
-        3  0.45226   0.123  0.406  1.000  0.206
-        4  0.60490  -0.336  0.552  0.206  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM HESSE     STATUS=OK             23 CALLS         214 TOTAL
-                     EDM=0.000282194    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14404e+02   3.84550e-01   2.90698e-04   1.47348e-01
-   2  sg_p1        2.58356e+01   3.47902e-01   9.80110e-04   4.60888e-01
-   3  sg_p2        1.67287e+00   6.94090e-02   6.39706e-04  -3.37208e-01
-   4  sg_p3        1.19029e+00   3.33968e-02   4.93065e-05  -7.20709e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.479e-01 -2.313e-02  3.287e-03 -4.322e-03 
- -2.313e-02  1.211e-01  9.898e-03  6.450e-03 
-  3.287e-03  9.898e-03  4.819e-03  4.836e-04 
- -4.322e-03  6.450e-03  4.836e-04  1.115e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39464   1.000 -0.173  0.123 -0.336
-        2  0.63294  -0.173  1.000  0.410  0.555
-        3  0.45602   0.123  0.410  1.000  0.209
-        4  0.60714  -0.336  0.555  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.404 +- 0.38455
-25.8356 +- 0.347902
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 814.374 +- 0.398978 (stat) - 1.83178 + 1.56012 (syst); -1.84261/+1.57282 (total)
-   Uncertainty on sg_p1 = 25.8336 +- 0.36113 (stat) - 0.524827 + 0.398085 (syst); -0.55502/+0.437122 (total)
-   Uncertainty on sg_p2 = 1.67359 +- 0.0721418 (stat) - 0.0580086 + 0.0266696 (syst); -0.0683089/+0.0448595 (total)
-   Uncertainty on sg_p3 = 1.19124 +- 0.0346971 (stat) - 0.00886586 + 0.0266863 (syst); -0.0194827/+0.0318297 (total)
-   === Baseline plot === </br>
-   norm = 217.194
-JEC     lnN   1.00978  -
-JER     lnN   1.01239  -
-btag    lnN   1.07603  -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt
deleted file mode 100644
index 8db6818..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.64156 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.0799    -
-JER       lnN     1.01164   - 
-JEC       lnN     1.00857   -
-trigger   lnN     1.10    -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_crystal_1_550_1200/signal900_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_crystal_1_550_1200/signal900_sig.log
deleted file mode 100644
index d4cc812..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_crystal_1_550_1200/signal900_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33664.2 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.87024e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   1.70564e+01
-   3  sg_p2        8.67563e-01   5.00000e-01   0.00000e+00   3.77923e+02
-   4  sg_p3        1.75058e+00   7.00000e-01  -5.23409e-01  -9.51811e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.14138 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             27 CALLS         373 TOTAL
-                     EDM=0.00332624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18636e-01   1.26596e-03   7.76547e-02
-   2  sg_p1        4.38895e+01   5.43360e-01   3.99187e-03   5.04266e-02
-   3  sg_p2        2.61266e+00   9.39365e-01   6.28602e-02  -2.11368e-01
-   4  sg_p3        1.68218e+00   9.36801e-02   3.16921e-03   5.53803e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33371.1 FROM MIGRAD    STATUS=CONVERGED     386 CALLS         387 TOTAL
-                     EDM=8.86352e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18635e-01   1.67624e-06  -3.95438e-03
-   2  sg_p1        4.38881e+01   5.43356e-01  -9.98687e-05  -6.98133e-04
-   3  sg_p2        2.69108e+00   9.37644e-01   3.14301e-02  -2.30056e-05
-   4  sg_p3        1.68195e+00   9.36715e-02  -7.67431e-05  -4.02566e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.827e-01 -6.502e-02 -5.811e-05 -2.090e-02 
- -6.502e-02  2.954e-01  5.476e-04  2.735e-02 
- -5.811e-05  5.476e-04  9.241e-01  1.376e-04 
- -2.090e-02  2.735e-02  1.376e-04  8.777e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36054   1.000 -0.193 -0.000 -0.361
-        2  0.53708  -0.193  1.000  0.001  0.537
-        3  0.00163  -0.000  0.001  1.000  0.002
-        4  0.59741  -0.361  0.537  0.002  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             29 CALLS         416 TOTAL
-                     EDM=5.60701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.87145e+02   6.19206e-01   1.26598e-03   2.89787e-01
-   2  sg_p1        4.38881e+01   5.44560e-01   1.59675e-03   2.62200e-01
-   3  sg_p2        2.69108e+00   3.66223e+00   4.86437e-02   7.65081e-02
-   4  sg_p3        1.68195e+00   9.38964e-02   1.26768e-03  -5.46198e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.834e-01 -6.608e-02  9.504e-07 -2.110e-02 
- -6.608e-02  2.967e-01  4.698e-06  2.763e-02 
-  9.504e-07  4.698e-06  6.569e+03  3.565e-07 
- -2.110e-02  2.763e-02  3.565e-07  8.819e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36280   1.000 -0.196  0.000 -0.363
-        2  0.54009  -0.196  1.000  0.000  0.540
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.60032  -0.363  0.540  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-887.145 +- 0.619206
-43.8881 +- 0.54456
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33829.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.37162e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   7.33519e+01
-   3  sg_p2        5.87771e-01   5.00000e-01  -8.70873e-01   9.57906e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.46120e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00007 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             25 CALLS         331 TOTAL
-                     EDM=0.315109    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91582e+02   6.17824e-01   1.32224e-03  -7.77130e-01
-   2  sg_p1        4.40907e+01   5.43395e-01   4.14838e-03   2.19978e+00
-   3  sg_p2        2.59937e+00   4.57998e-01   2.91245e-01  -4.28319e+00
-   4  sg_p3        1.56794e+00   6.89875e-02   2.49674e-03  -3.53414e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33473.2 FROM MIGRAD    STATUS=CONVERGED     344 CALLS         345 TOTAL
-                     EDM=1.81644e-07    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91593e+02   6.17785e-01   1.97446e-04  -3.22562e-02
-   2  sg_p1        4.40472e+01   5.43856e-01  -3.01296e-03  -7.86524e-03
-   3  sg_p2        2.96080e+00   4.50508e-01   1.45623e-01   0.00000e+00
-   4  sg_p3        1.56553e+00   6.89514e-02  -8.25067e-04   1.93280e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.817e-01 -4.853e-02  1.606e-04 -1.348e-02 
- -4.853e-02  2.959e-01  6.495e-06  1.836e-02 
-  1.606e-04  6.495e-06  2.053e-01 -1.663e-05 
- -1.348e-02  1.836e-02 -1.663e-05  4.755e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31670   1.000 -0.144  0.001 -0.316
-        2  0.48950  -0.144  1.000  0.000  0.489
-        3  0.00076   0.001  0.000  1.000 -0.001
-        4  0.54881  -0.316  0.489 -0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             31 CALLS         376 TOTAL
-                     EDM=1.33661    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.91593e+02   6.18180e-01   1.32251e-03   3.68142e-01
-   2  sg_p1        4.40472e+01   5.43127e-01   4.14931e-03   2.73201e-01
-   3  sg_p2        2.96080e+00   5.37583e-01   5.10000e-01   1.85380e-01
-   4  sg_p3        1.56553e+00   6.89873e-02   9.98698e-04  -5.85607e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.822e-01 -4.972e-02 -6.585e-12 -1.366e-02 
- -4.972e-02  2.951e-01  2.406e-12  1.846e-02 
- -6.585e-12  2.406e-12  2.937e-01  2.262e-12 
- -1.366e-02  1.846e-02  2.262e-12  4.760e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32056   1.000 -0.148 -0.000 -0.320
-        2  0.49249  -0.148  1.000  0.000  0.492
-        3  0.00000  -0.000  0.000  1.000  0.000
-        4  0.55232  -0.320  0.492  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-891.593 +- 0.61818
-44.0472 +- 0.543127
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33025.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.21902e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   3.56266e+01
-   3  sg_p2        8.48797e-01   5.00000e-01   0.00000e+00   8.71721e+00
-   4  sg_p3        1.96916e+00   7.00000e-01  -4.52685e-01   1.33827e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             31 CALLS         284 TOTAL
-                     EDM=0.000111741    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83274e+02   5.75489e-01   1.22716e-03   3.79802e-02
-   2  sg_p1        4.40176e+01   4.49467e-01   3.85966e-03  -7.57641e-02
-   3  sg_p2        2.44289e+00   2.23488e-01   1.00126e-02   8.24918e-02
-   4  sg_p3        1.81465e+00   3.14767e-02   3.33332e-03   1.27746e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=32836 FROM MIGRAD    STATUS=FAILED        321 CALLS         322 TOTAL
-                     EDM=0.034586    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  18.3 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83276e+02   5.73266e-01  -0.00000e+00   5.01334e-02
-   2  sg_p1        4.40177e+01   4.48511e-01   0.00000e+00   1.03605e-01
-   3  sg_p2        2.44263e+00   1.46331e-01  -0.00000e+00  -1.44978e-01
-   4  sg_p3        1.81329e+00   9.50131e-03   0.00000e+00  -1.27604e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.286e-01  1.600e-03 -3.893e-03 -4.127e-05 
-  1.600e-03  2.012e-01  2.014e-03  3.934e-04 
- -3.893e-03  2.014e-03  2.144e-02 -5.698e-04 
- -4.127e-05  3.934e-04 -5.698e-04  9.028e-05 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05588   1.000  0.006 -0.046 -0.008
-        2  0.11947   0.006  1.000  0.031  0.092
-        3  0.41831  -0.046  0.031  1.000 -0.410
-        4  0.42369  -0.008  0.092 -0.410  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             29 CALLS         351 TOTAL
-                     EDM=0.000104468    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.83276e+02   5.75584e-01   1.22738e-03   2.23108e-01
-   2  sg_p1        4.40177e+01   4.49699e-01   3.86131e-03   2.71159e-01
-   3  sg_p2        2.44263e+00   2.24450e-01   1.04348e-02  -2.29498e-02
-   4  sg_p3        1.81329e+00   3.18671e-02   3.32746e-03  -5.02843e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.313e-01 -1.034e-03 -3.993e-04 -1.393e-03 
- -1.034e-03  2.023e-01 -9.138e-05  1.874e-03 
- -3.993e-04 -9.138e-05  5.051e-02  1.806e-06 
- -1.393e-03  1.874e-03  1.806e-06  1.016e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.07626   1.000 -0.004 -0.003 -0.076
-        2  0.13085  -0.004  1.000 -0.001  0.131
-        3  0.00322  -0.003 -0.001  1.000  0.000
-        4  0.15092  -0.076  0.131  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-883.276 +- 0.575584
-44.0177 +- 0.449699
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31847.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.15004e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.07919e+02
-   3  sg_p2        1.34843e+00   5.00000e-01   0.00000e+00   1.01663e+02
-   4  sg_p3        1.18098e+00   7.00000e-01  -7.24255e-01  -8.67138e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.8133e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14708e+02   6.08444e-01   1.29613e-03   1.05815e-01
-   2  sg_p1        3.02451e+01   5.68219e-01   5.56289e-03   1.74811e-02
-   3  sg_p2        2.07933e+00   1.35380e-01   6.08573e-03   1.51761e-02
-   4  sg_p3        1.21527e+00   6.15917e-02   1.48479e-03   1.57009e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.702e-01 -2.155e-01 -1.002e-02 -2.676e-02 
- -2.155e-01  3.236e-01  3.008e-02  2.846e-02 
- -1.002e-02  3.008e-02  1.835e-02  2.403e-03 
- -2.676e-02  2.846e-02  2.403e-03  3.794e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.72659   1.000 -0.623 -0.122 -0.714
-        2  0.83258  -0.623  1.000  0.390  0.812
-        3  0.42083  -0.122  0.390  1.000  0.288
-        4  0.85489  -0.714  0.812  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=2.07761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14708e+02   6.37633e-01   5.18452e-05   1.17968e-01
-   2  sg_p1        3.02451e+01   6.04034e-01   2.22516e-04   3.74720e-01
-   3  sg_p2        2.07933e+00   1.39479e-01   2.43429e-04  -1.69071e-01
-   4  sg_p3        1.21527e+00   6.62844e-02   5.93916e-05  -7.11249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.066e-01 -2.540e-01 -1.389e-02 -3.139e-02 
- -2.540e-01  3.658e-01  3.536e-02  3.345e-02 
- -1.389e-02  3.536e-02  1.948e-02  2.966e-03 
- -3.139e-02  3.345e-02  2.966e-03  4.395e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75434   1.000 -0.659 -0.156 -0.743
-        2  0.85324  -0.659  1.000  0.419  0.834
-        3  0.44886  -0.156  0.419  1.000  0.321
-        4  0.87300  -0.743  0.834  0.321  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.708 +- 0.637633
-30.2451 +- 0.604034
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=32076.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.42825e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.66341e+02
-   3  sg_p2        1.24756e+00   5.00000e-01   0.00000e+00   1.32032e+02
-   4  sg_p3        1.51475e+00   7.00000e-01  -6.03120e-01   6.41643e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.2508e+00  8.3406e-01  1.1303e+00  4.2864e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 2.255047 TO DIAGONAL.
- FCN=31897 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         293 TOTAL
-                     EDM=0.00241152    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   6.95098e-01   1.30051e-03   1.46076e-01
-   2  sg_p1        3.03755e+01   3.97597e-01   5.52810e-03   7.58612e-03
-   3  sg_p2        2.27801e+00   1.55888e+00   7.81545e-03   6.54139e-02
-   4  sg_p3        1.17081e+00   2.99817e-01   1.31225e-03   1.00535e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM MIGRAD    STATUS=CONVERGED     328 CALLS         329 TOTAL
-                     EDM=0.000214971    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   4.88559e-01   1.30052e-03   3.06873e-02
-   2  sg_p1        3.03754e+01   4.10963e-01   2.21124e-03   2.67746e-02
-   3  sg_p2        2.27858e+00   1.68057e-01   3.12618e-03   1.19850e-01
-   4  sg_p3        1.17071e+00   3.83284e-02   1.31215e-03   6.94100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.387e-01 -8.067e-02  2.183e-04 -9.547e-03 
- -8.067e-02  1.691e-01  1.601e-02  9.908e-03 
-  2.183e-04  1.601e-02  2.829e-02  8.281e-04 
- -9.547e-03  9.908e-03  8.281e-04  1.469e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52820   1.000 -0.402  0.003 -0.510
-        2  0.65548  -0.402  1.000  0.231  0.629
-        3  0.25444   0.003  0.231  1.000  0.128
-        4  0.68871  -0.510  0.629  0.128  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM HESSE     STATUS=OK             23 CALLS         352 TOTAL
-                     EDM=0.000216668    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.17231e+02   4.89066e-01   5.20206e-05   1.81768e-01
-   2  sg_p1        3.03754e+01   4.11848e-01   4.42248e-04   3.93462e-01
-   3  sg_p2        2.27858e+00   1.68511e-01   6.25236e-04  -8.86838e-02
-   4  sg_p3        1.17071e+00   3.83872e-02   2.62429e-04  -7.28178e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.392e-01 -8.128e-02  1.943e-04 -9.592e-03 
- -8.128e-02  1.698e-01  1.629e-02  9.968e-03 
-  1.943e-04  1.629e-02  2.844e-02  8.443e-04 
- -9.592e-03  9.968e-03  8.443e-04  1.474e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52961   1.000 -0.403  0.002 -0.511
-        2  0.65734  -0.403  1.000  0.234  0.630
-        3  0.25774   0.002  0.234  1.000  0.130
-        4  0.68988  -0.511  0.630  0.130  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-917.231 +- 0.489066
-30.3754 +- 0.411848
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31270.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.11670e+02   8.00000e+00   4.17695e-02   1.48625e+01
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.41145e+02
-   3  sg_p2        1.45615e+00   5.00000e-01   0.00000e+00  -1.80733e+01
-   4  sg_p3        1.27355e+00   7.00000e-01   0.00000e+00   5.00168e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=1.00647e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.12666e+02   5.93671e-01   1.27735e-03   2.63765e-02
-   2  sg_p1        2.96697e+01   6.13867e-01   5.39370e-03   1.70034e-02
-   3  sg_p2        1.86746e+00   1.16178e-01   4.79471e-03   1.24233e-02
-   4  sg_p3        1.20141e+00   6.21896e-02   1.45289e-03   7.47047e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.525e-01 -2.113e-01 -9.800e-03 -2.540e-02 
- -2.113e-01  3.778e-01  3.879e-02  3.144e-02 
- -9.800e-03  3.879e-02  1.351e-02  2.946e-03 
- -2.540e-02  3.144e-02  2.946e-03  3.868e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71041   1.000 -0.579 -0.142 -0.688
-        2  0.85591  -0.579  1.000  0.543  0.822
-        3  0.58356  -0.142  0.543  1.000  0.408
-        4  0.86266  -0.688  0.822  0.408  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=1.03715e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.12666e+02   5.96901e-01   2.55470e-04   6.66929e-02
-   2  sg_p1        2.96697e+01   6.22112e-01   2.15748e-04   2.93491e-01
-   3  sg_p2        1.86746e+00   1.17183e-01   1.91788e-04  -2.55796e-01
-   4  sg_p3        1.20141e+00   6.28752e-02   5.81156e-05  -7.16489e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.563e-01 -2.172e-01 -1.053e-02 -2.596e-02 
- -2.172e-01  3.880e-01  4.037e-02  3.237e-02 
- -1.053e-02  4.037e-02  1.374e-02  3.084e-03 
- -2.596e-02  3.237e-02  3.084e-03  3.954e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71417   1.000 -0.584 -0.151 -0.692
-        2  0.86002  -0.584  1.000  0.553  0.827
-        3  0.59309  -0.151  0.553  1.000  0.418
-        4  0.86587  -0.692  0.827  0.418  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-912.666 +- 0.596901
-29.6697 +- 0.622112
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31402.8 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -6.41887e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.32609e+02
-   3  sg_p2        1.21873e+00   5.00000e-01   0.00000e+00   2.82004e+01
-   4  sg_p3        1.29003e+00   7.00000e-01  -6.83382e-01   3.00498e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM MIGRAD    STATUS=CONVERGED     202 CALLS         203 TOTAL
-                     EDM=9.20948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14895e+02   5.51583e-01   1.31460e-03   1.61689e-01
-   2  sg_p1        3.03350e+01   7.44882e-01   5.76073e-03  -3.27245e-02
-   3  sg_p2        1.86472e+00   2.01246e-01   6.02311e-03  -3.75996e-03
-   4  sg_p3        1.20817e+00   6.26611e-02   1.44547e-03   2.50672e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.043e-01 -1.559e-01 -6.728e-03 -1.871e-02 
- -1.559e-01  5.570e-01  1.146e-01  3.885e-02 
- -6.728e-03  1.146e-01  4.059e-02  7.410e-03 
- -1.871e-02  3.885e-02  7.410e-03  3.927e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63293   1.000 -0.379 -0.061 -0.541
-        2  0.89852  -0.379  1.000  0.762  0.831
-        3  0.80154  -0.061  0.762  1.000  0.587
-        4  0.86629  -0.541  0.831  0.587  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM HESSE     STATUS=OK             23 CALLS         226 TOTAL
-                     EDM=9.24142e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14895e+02   5.53867e-01   2.62920e-04   1.22682e-01
-   2  sg_p1        3.03350e+01   7.70523e-01   2.30429e-04   3.87633e-01
-   3  sg_p2        1.86472e+00   2.07594e-01   2.40925e-04  -2.56930e-01
-   4  sg_p3        1.20817e+00   6.42645e-02   5.78186e-05  -7.13930e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.068e-01 -1.637e-01 -8.469e-03 -1.930e-02 
- -1.637e-01  5.962e-01  1.248e-01  4.167e-02 
- -8.469e-03  1.248e-01  4.320e-02  8.128e-03 
- -1.930e-02  4.167e-02  8.128e-03  4.131e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63682   1.000 -0.383 -0.074 -0.542
-        2  0.90554  -0.383  1.000  0.777  0.840
-        3  0.81484  -0.074  0.777  1.000  0.608
-        4  0.87336  -0.542  0.840  0.608  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.895 +- 0.553867
-30.335 +- 0.770523
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31997 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.37823e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -7.64703e+01
-   3  sg_p2        1.30597e+00   5.00000e-01   0.00000e+00  -1.46520e+01
-   4  sg_p3        1.20892e+00   7.00000e-01  -7.13644e-01   4.56011e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM MIGRAD    STATUS=CONVERGED     187 CALLS         188 TOTAL
-                     EDM=0.000455256    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14847e+02   4.88994e-01   1.26432e-03   4.89756e-01
-   2  sg_p1        2.93287e+01   6.86296e-01   5.26048e-03   5.85295e-02
-   3  sg_p2        1.92235e+00   2.48995e-01   6.70981e-03   1.75003e-01
-   4  sg_p3        1.17091e+00   4.94270e-02   1.31942e-03  -2.75253e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.391e-01 -5.711e-02  1.273e-02 -9.083e-03 
- -5.711e-02  4.724e-01  1.369e-01  2.673e-02 
-  1.273e-02  1.369e-01  6.222e-02  7.189e-03 
- -9.083e-03  2.673e-02  7.189e-03  2.443e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55484   1.000 -0.170  0.104 -0.376
-        2  0.89241  -0.170  1.000  0.799  0.787
-        3  0.83537   0.104  0.799  1.000  0.583
-        4  0.82462  -0.376  0.787  0.583  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM HESSE     STATUS=OK             29 CALLS         217 TOTAL
-                     EDM=0.000126642    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14847e+02   4.87177e-01   2.52865e-04   1.21475e-01
-   2  sg_p1        2.93287e+01   4.44229e-01   2.10419e-04   2.46308e-01
-   3  sg_p2        1.92235e+00   1.10134e-01   2.00630e-01  -2.33169e-01
-   4  sg_p3        1.17091e+00   4.11749e-02   5.27768e-05  -7.28101e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.374e-01 -8.558e-02  4.043e-04 -1.061e-02 
- -8.558e-02  1.976e-01  1.759e-02  1.238e-02 
-  4.043e-04  1.759e-02  1.214e-02  9.448e-04 
- -1.061e-02  1.238e-02  9.448e-04  1.696e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55015   1.000 -0.395  0.008 -0.529
-        2  0.71638  -0.395  1.000  0.359  0.676
-        3  0.39465   0.008  0.359  1.000  0.208
-        4  0.73407  -0.529  0.676  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.847 +- 0.487177
-29.3287 +- 0.444229
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29376.3 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.21334e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.14912e+02
-   3  sg_p2        1.36391e+00   5.00000e-01   0.00000e+00   1.01339e+02
-   4  sg_p3        1.20442e+00   7.00000e-01  -7.15346e-01   5.08593e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM MIGRAD    STATUS=CONVERGED     194 CALLS         195 TOTAL
-                     EDM=0.000205755    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14660e+02   4.99096e-01   1.29653e-03  -5.11216e-02
-   2  sg_p1        3.02540e+01   3.59225e-01   5.55826e-03   5.44144e-02
-   3  sg_p2        2.08275e+00   1.37518e-01   6.20642e-03   1.37624e-01
-   4  sg_p3        1.21801e+00   3.97286e-02   1.50718e-03  -6.59977e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.491e-01  5.789e-03  1.174e-02 -9.048e-03 
-  5.789e-03  1.292e-01  1.502e-02 -3.879e-03 
-  1.174e-02  1.502e-02  1.893e-02 -7.314e-04 
- -9.048e-03 -3.879e-03 -7.314e-04  1.578e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48768   1.000  0.032  0.171 -0.456
-        2  0.40688   0.032  1.000  0.304 -0.272
-        3  0.34471   0.171  0.304  1.000 -0.134
-        4  0.52420  -0.456 -0.272 -0.134  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM HESSE     STATUS=OK             23 CALLS         218 TOTAL
-                     EDM=0.000176487    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14660e+02   6.63602e-01   2.59307e-04   1.16777e-01
-   2  sg_p1        3.02540e+01   6.28299e-01   2.22330e-04   3.75996e-01
-   3  sg_p2        2.08275e+00   1.45711e-01   2.48257e-04  -1.67686e-01
-   4  sg_p3        1.21801e+00   6.93582e-02   3.01436e-04  -7.10215e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.404e-01 -2.750e-01 -1.507e-02 -3.419e-02 
- -2.750e-01  3.958e-01  3.829e-02  3.641e-02 
- -1.507e-02  3.829e-02  2.126e-02  3.230e-03 
- -3.419e-02  3.641e-02  3.230e-03  4.812e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75425   1.000 -0.659 -0.156 -0.743
-        2  0.85307  -0.659  1.000  0.417  0.834
-        3  0.44715  -0.156  0.417  1.000  0.319
-        4  0.87298  -0.743  0.834  0.319  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.66 +- 0.663602
-30.254 +- 0.628299
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=34491.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -1.23996e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.14064e+01
-   3  sg_p2        1.33344e+00   5.00000e-01   0.00000e+00   1.23543e+02
-   4  sg_p3        1.01604e+00   7.00000e-01  -7.89075e-01  -7.54461e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=1.48214e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14750e+02   5.25007e-01   1.29029e-03   2.37283e-01
-   2  sg_p1        3.02408e+01   4.81625e-01   5.53748e-03  -1.27642e-02
-   3  sg_p2        2.07745e+00   1.27929e-01   6.14558e-03   4.69647e-02
-   4  sg_p3        1.21295e+00   5.03011e-02   1.45362e-03   1.82273e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -1.325e-01 -3.877e-03 -1.666e-02 
- -1.325e-01  2.323e-01  2.235e-02  1.825e-02 
- -3.877e-03  2.235e-02  1.638e-02  1.568e-03 
- -1.666e-02  1.825e-02  1.568e-03  2.531e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64731   1.000 -0.523 -0.058 -0.631
-        2  0.77971  -0.523  1.000  0.362  0.753
-        3  0.39469  -0.058  0.362  1.000  0.244
-        4  0.80244  -0.631  0.753  0.244  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM HESSE     STATUS=OK             23 CALLS         212 TOTAL
-                     EDM=1.52019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14750e+02   5.22645e-01   2.58059e-04   1.19022e-01
-   2  sg_p1        3.02408e+01   4.78916e-01   2.21499e-04   3.74107e-01
-   3  sg_p2        2.07745e+00   1.30836e-01   2.45823e-04  -1.69835e-01
-   4  sg_p3        1.21295e+00   4.98205e-02   5.81447e-05  -7.12123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.732e-01 -1.292e-01 -3.790e-03 -1.629e-02 
- -1.292e-01  2.297e-01  2.340e-02  1.784e-02 
- -3.790e-03  2.340e-02  1.713e-02  1.620e-03 
- -1.629e-02  1.784e-02  1.620e-03  2.482e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64323   1.000 -0.516 -0.055 -0.626
-        2  0.77685  -0.516  1.000  0.373  0.747
-        3  0.40646  -0.055  0.373  1.000  0.248
-        4  0.79826  -0.626  0.747  0.248  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.75 +- 0.522645
-30.2408 +- 0.478916
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 914.708 +- 0.637633 (stat) - 2.04205 + 2.52294 (syst); -2.06678/+2.54301 (total)
-   Uncertainty on sg_p1 = 30.2451 +- 0.604034 (stat) - 0.916401 + 0.130325 (syst); -0.964886/+0.328936 (total)
-   Uncertainty on sg_p2 = 2.07933 +- 0.139479 (stat) - 0.214614 + 0.199247 (syst); -0.225661/+0.2111 (total)
-   Uncertainty on sg_p3 = 1.21527 +- 0.0662844 (stat) - 0.0445565 + 0.00274258 (syst); -0.055531/+0.0332555 (total)
-   === Baseline plot === </br>
-   norm = 232.078
-JEC     lnN   1.00857  -
-JER     lnN   1.01164  -
-btag    lnN   1.0799  -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
deleted file mode 100644
index 9e2abbe..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.64156 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.0799    -
-JER       lnN     1.01164   - 
-JEC       lnN     1.00857   -
-trigger   lnN     1.10    -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_novo_550_1200/signal900_sig.log b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_novo_550_1200/signal900_sig.log
deleted file mode 100644
index d4cc812..0000000
--- a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/5GeV/MMR_900_novo_550_1200/signal900_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33664.2 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.87024e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   1.70564e+01
-   3  sg_p2        8.67563e-01   5.00000e-01   0.00000e+00   3.77923e+02
-   4  sg_p3        1.75058e+00   7.00000e-01  -5.23409e-01  -9.51811e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.14138 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             27 CALLS         373 TOTAL
-                     EDM=0.00332624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18636e-01   1.26596e-03   7.76547e-02
-   2  sg_p1        4.38895e+01   5.43360e-01   3.99187e-03   5.04266e-02
-   3  sg_p2        2.61266e+00   9.39365e-01   6.28602e-02  -2.11368e-01
-   4  sg_p3        1.68218e+00   9.36801e-02   3.16921e-03   5.53803e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33371.1 FROM MIGRAD    STATUS=CONVERGED     386 CALLS         387 TOTAL
-                     EDM=8.86352e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18635e-01   1.67624e-06  -3.95438e-03
-   2  sg_p1        4.38881e+01   5.43356e-01  -9.98687e-05  -6.98133e-04
-   3  sg_p2        2.69108e+00   9.37644e-01   3.14301e-02  -2.30056e-05
-   4  sg_p3        1.68195e+00   9.36715e-02  -7.67431e-05  -4.02566e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.827e-01 -6.502e-02 -5.811e-05 -2.090e-02 
- -6.502e-02  2.954e-01  5.476e-04  2.735e-02 
- -5.811e-05  5.476e-04  9.241e-01  1.376e-04 
- -2.090e-02  2.735e-02  1.376e-04  8.777e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36054   1.000 -0.193 -0.000 -0.361
-        2  0.53708  -0.193  1.000  0.001  0.537
-        3  0.00163  -0.000  0.001  1.000  0.002
-        4  0.59741  -0.361  0.537  0.002  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             29 CALLS         416 TOTAL
-                     EDM=5.60701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.87145e+02   6.19206e-01   1.26598e-03   2.89787e-01
-   2  sg_p1        4.38881e+01   5.44560e-01   1.59675e-03   2.62200e-01
-   3  sg_p2        2.69108e+00   3.66223e+00   4.86437e-02   7.65081e-02
-   4  sg_p3        1.68195e+00   9.38964e-02   1.26768e-03  -5.46198e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.834e-01 -6.608e-02  9.504e-07 -2.110e-02 
- -6.608e-02  2.967e-01  4.698e-06  2.763e-02 
-  9.504e-07  4.698e-06  6.569e+03  3.565e-07 
- -2.110e-02  2.763e-02  3.565e-07  8.819e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36280   1.000 -0.196  0.000 -0.363
-        2  0.54009  -0.196  1.000  0.000  0.540
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.60032  -0.363  0.540  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-887.145 +- 0.619206
-43.8881 +- 0.54456
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33829.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.37162e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   7.33519e+01
-   3  sg_p2        5.87771e-01   5.00000e-01  -8.70873e-01   9.57906e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.46120e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00007 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             25 CALLS         331 TOTAL
-                     EDM=0.315109    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91582e+02   6.17824e-01   1.32224e-03  -7.77130e-01
-   2  sg_p1        4.40907e+01   5.43395e-01   4.14838e-03   2.19978e+00
-   3  sg_p2        2.59937e+00   4.57998e-01   2.91245e-01  -4.28319e+00
-   4  sg_p3        1.56794e+00   6.89875e-02   2.49674e-03  -3.53414e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33473.2 FROM MIGRAD    STATUS=CONVERGED     344 CALLS         345 TOTAL
-                     EDM=1.81644e-07    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91593e+02   6.17785e-01   1.97446e-04  -3.22562e-02
-   2  sg_p1        4.40472e+01   5.43856e-01  -3.01296e-03  -7.86524e-03
-   3  sg_p2        2.96080e+00   4.50508e-01   1.45623e-01   0.00000e+00
-   4  sg_p3        1.56553e+00   6.89514e-02  -8.25067e-04   1.93280e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.817e-01 -4.853e-02  1.606e-04 -1.348e-02 
- -4.853e-02  2.959e-01  6.495e-06  1.836e-02 
-  1.606e-04  6.495e-06  2.053e-01 -1.663e-05 
- -1.348e-02  1.836e-02 -1.663e-05  4.755e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31670   1.000 -0.144  0.001 -0.316
-        2  0.48950  -0.144  1.000  0.000  0.489
-        3  0.00076   0.001  0.000  1.000 -0.001
-        4  0.54881  -0.316  0.489 -0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             31 CALLS         376 TOTAL
-                     EDM=1.33661    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.91593e+02   6.18180e-01   1.32251e-03   3.68142e-01
-   2  sg_p1        4.40472e+01   5.43127e-01   4.14931e-03   2.73201e-01
-   3  sg_p2        2.96080e+00   5.37583e-01   5.10000e-01   1.85380e-01
-   4  sg_p3        1.56553e+00   6.89873e-02   9.98698e-04  -5.85607e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.822e-01 -4.972e-02 -6.585e-12 -1.366e-02 
- -4.972e-02  2.951e-01  2.406e-12  1.846e-02 
- -6.585e-12  2.406e-12  2.937e-01  2.262e-12 
- -1.366e-02  1.846e-02  2.262e-12  4.760e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32056   1.000 -0.148 -0.000 -0.320
-        2  0.49249  -0.148  1.000  0.000  0.492
-        3  0.00000  -0.000  0.000  1.000  0.000
-        4  0.55232  -0.320  0.492  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-891.593 +- 0.61818
-44.0472 +- 0.543127
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33025.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.21902e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   3.56266e+01
-   3  sg_p2        8.48797e-01   5.00000e-01   0.00000e+00   8.71721e+00
-   4  sg_p3        1.96916e+00   7.00000e-01  -4.52685e-01   1.33827e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             31 CALLS         284 TOTAL
-                     EDM=0.000111741    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83274e+02   5.75489e-01   1.22716e-03   3.79802e-02
-   2  sg_p1        4.40176e+01   4.49467e-01   3.85966e-03  -7.57641e-02
-   3  sg_p2        2.44289e+00   2.23488e-01   1.00126e-02   8.24918e-02
-   4  sg_p3        1.81465e+00   3.14767e-02   3.33332e-03   1.27746e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=32836 FROM MIGRAD    STATUS=FAILED        321 CALLS         322 TOTAL
-                     EDM=0.034586    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  18.3 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83276e+02   5.73266e-01  -0.00000e+00   5.01334e-02
-   2  sg_p1        4.40177e+01   4.48511e-01   0.00000e+00   1.03605e-01
-   3  sg_p2        2.44263e+00   1.46331e-01  -0.00000e+00  -1.44978e-01
-   4  sg_p3        1.81329e+00   9.50131e-03   0.00000e+00  -1.27604e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.286e-01  1.600e-03 -3.893e-03 -4.127e-05 
-  1.600e-03  2.012e-01  2.014e-03  3.934e-04 
- -3.893e-03  2.014e-03  2.144e-02 -5.698e-04 
- -4.127e-05  3.934e-04 -5.698e-04  9.028e-05 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05588   1.000  0.006 -0.046 -0.008
-        2  0.11947   0.006  1.000  0.031  0.092
-        3  0.41831  -0.046  0.031  1.000 -0.410
-        4  0.42369  -0.008  0.092 -0.410  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             29 CALLS         351 TOTAL
-                     EDM=0.000104468    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.83276e+02   5.75584e-01   1.22738e-03   2.23108e-01
-   2  sg_p1        4.40177e+01   4.49699e-01   3.86131e-03   2.71159e-01
-   3  sg_p2        2.44263e+00   2.24450e-01   1.04348e-02  -2.29498e-02
-   4  sg_p3        1.81329e+00   3.18671e-02   3.32746e-03  -5.02843e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.313e-01 -1.034e-03 -3.993e-04 -1.393e-03 
- -1.034e-03  2.023e-01 -9.138e-05  1.874e-03 
- -3.993e-04 -9.138e-05  5.051e-02  1.806e-06 
- -1.393e-03  1.874e-03  1.806e-06  1.016e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.07626   1.000 -0.004 -0.003 -0.076
-        2  0.13085  -0.004  1.000 -0.001  0.131
-        3  0.00322  -0.003 -0.001  1.000  0.000
-        4  0.15092  -0.076  0.131  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-883.276 +- 0.575584
-44.0177 +- 0.449699
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31847.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.15004e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.07919e+02
-   3  sg_p2        1.34843e+00   5.00000e-01   0.00000e+00   1.01663e+02
-   4  sg_p3        1.18098e+00   7.00000e-01  -7.24255e-01  -8.67138e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.8133e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14708e+02   6.08444e-01   1.29613e-03   1.05815e-01
-   2  sg_p1        3.02451e+01   5.68219e-01   5.56289e-03   1.74811e-02
-   3  sg_p2        2.07933e+00   1.35380e-01   6.08573e-03   1.51761e-02
-   4  sg_p3        1.21527e+00   6.15917e-02   1.48479e-03   1.57009e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.702e-01 -2.155e-01 -1.002e-02 -2.676e-02 
- -2.155e-01  3.236e-01  3.008e-02  2.846e-02 
- -1.002e-02  3.008e-02  1.835e-02  2.403e-03 
- -2.676e-02  2.846e-02  2.403e-03  3.794e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.72659   1.000 -0.623 -0.122 -0.714
-        2  0.83258  -0.623  1.000  0.390  0.812
-        3  0.42083  -0.122  0.390  1.000  0.288
-        4  0.85489  -0.714  0.812  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=2.07761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14708e+02   6.37633e-01   5.18452e-05   1.17968e-01
-   2  sg_p1        3.02451e+01   6.04034e-01   2.22516e-04   3.74720e-01
-   3  sg_p2        2.07933e+00   1.39479e-01   2.43429e-04  -1.69071e-01
-   4  sg_p3        1.21527e+00   6.62844e-02   5.93916e-05  -7.11249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.066e-01 -2.540e-01 -1.389e-02 -3.139e-02 
- -2.540e-01  3.658e-01  3.536e-02  3.345e-02 
- -1.389e-02  3.536e-02  1.948e-02  2.966e-03 
- -3.139e-02  3.345e-02  2.966e-03  4.395e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75434   1.000 -0.659 -0.156 -0.743
-        2  0.85324  -0.659  1.000  0.419  0.834
-        3  0.44886  -0.156  0.419  1.000  0.321
-        4  0.87300  -0.743  0.834  0.321  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.708 +- 0.637633
-30.2451 +- 0.604034
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=32076.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.42825e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.66341e+02
-   3  sg_p2        1.24756e+00   5.00000e-01   0.00000e+00   1.32032e+02
-   4  sg_p3        1.51475e+00   7.00000e-01  -6.03120e-01   6.41643e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.2508e+00  8.3406e-01  1.1303e+00  4.2864e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 2.255047 TO DIAGONAL.
- FCN=31897 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         293 TOTAL
-                     EDM=0.00241152    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   6.95098e-01   1.30051e-03   1.46076e-01
-   2  sg_p1        3.03755e+01   3.97597e-01   5.52810e-03   7.58612e-03
-   3  sg_p2        2.27801e+00   1.55888e+00   7.81545e-03   6.54139e-02
-   4  sg_p3        1.17081e+00   2.99817e-01   1.31225e-03   1.00535e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM MIGRAD    STATUS=CONVERGED     328 CALLS         329 TOTAL
-                     EDM=0.000214971    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   4.88559e-01   1.30052e-03   3.06873e-02
-   2  sg_p1        3.03754e+01   4.10963e-01   2.21124e-03   2.67746e-02
-   3  sg_p2        2.27858e+00   1.68057e-01   3.12618e-03   1.19850e-01
-   4  sg_p3        1.17071e+00   3.83284e-02   1.31215e-03   6.94100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.387e-01 -8.067e-02  2.183e-04 -9.547e-03 
- -8.067e-02  1.691e-01  1.601e-02  9.908e-03 
-  2.183e-04  1.601e-02  2.829e-02  8.281e-04 
- -9.547e-03  9.908e-03  8.281e-04  1.469e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52820   1.000 -0.402  0.003 -0.510
-        2  0.65548  -0.402  1.000  0.231  0.629
-        3  0.25444   0.003  0.231  1.000  0.128
-        4  0.68871  -0.510  0.629  0.128  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM HESSE     STATUS=OK             23 CALLS         352 TOTAL
-                     EDM=0.000216668    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.17231e+02   4.89066e-01   5.20206e-05   1.81768e-01
-   2  sg_p1        3.03754e+01   4.11848e-01   4.42248e-04   3.93462e-01
-   3  sg_p2        2.27858e+00   1.68511e-01   6.25236e-04  -8.86838e-02
-   4  sg_p3        1.17071e+00   3.83872e-02   2.62429e-04  -7.28178e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.392e-01 -8.128e-02  1.943e-04 -9.592e-03 
- -8.128e-02  1.698e-01  1.629e-02  9.968e-03 
-  1.943e-04  1.629e-02  2.844e-02  8.443e-04 
- -9.592e-03  9.968e-03  8.443e-04  1.474e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52961   1.000 -0.403  0.002 -0.511
-        2  0.65734  -0.403  1.000  0.234  0.630
-        3  0.25774   0.002  0.234  1.000  0.130
-        4  0.68988  -0.511  0.630  0.130  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-917.231 +- 0.489066
-30.3754 +- 0.411848
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31270.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.11670e+02   8.00000e+00   4.17695e-02   1.48625e+01
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.41145e+02
-   3  sg_p2        1.45615e+00   5.00000e-01   0.00000e+00  -1.80733e+01
-   4  sg_p3        1.27355e+00   7.00000e-01   0.00000e+00   5.00168e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=1.00647e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.12666e+02   5.93671e-01   1.27735e-03   2.63765e-02
-   2  sg_p1        2.96697e+01   6.13867e-01   5.39370e-03   1.70034e-02
-   3  sg_p2        1.86746e+00   1.16178e-01   4.79471e-03   1.24233e-02
-   4  sg_p3        1.20141e+00   6.21896e-02   1.45289e-03   7.47047e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.525e-01 -2.113e-01 -9.800e-03 -2.540e-02 
- -2.113e-01  3.778e-01  3.879e-02  3.144e-02 
- -9.800e-03  3.879e-02  1.351e-02  2.946e-03 
- -2.540e-02  3.144e-02  2.946e-03  3.868e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71041   1.000 -0.579 -0.142 -0.688
-        2  0.85591  -0.579  1.000  0.543  0.822
-        3  0.58356  -0.142  0.543  1.000  0.408
-        4  0.86266  -0.688  0.822  0.408  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=1.03715e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.12666e+02   5.96901e-01   2.55470e-04   6.66929e-02
-   2  sg_p1        2.96697e+01   6.22112e-01   2.15748e-04   2.93491e-01
-   3  sg_p2        1.86746e+00   1.17183e-01   1.91788e-04  -2.55796e-01
-   4  sg_p3        1.20141e+00   6.28752e-02   5.81156e-05  -7.16489e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.563e-01 -2.172e-01 -1.053e-02 -2.596e-02 
- -2.172e-01  3.880e-01  4.037e-02  3.237e-02 
- -1.053e-02  4.037e-02  1.374e-02  3.084e-03 
- -2.596e-02  3.237e-02  3.084e-03  3.954e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71417   1.000 -0.584 -0.151 -0.692
-        2  0.86002  -0.584  1.000  0.553  0.827
-        3  0.59309  -0.151  0.553  1.000  0.418
-        4  0.86587  -0.692  0.827  0.418  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-912.666 +- 0.596901
-29.6697 +- 0.622112
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31402.8 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -6.41887e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.32609e+02
-   3  sg_p2        1.21873e+00   5.00000e-01   0.00000e+00   2.82004e+01
-   4  sg_p3        1.29003e+00   7.00000e-01  -6.83382e-01   3.00498e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM MIGRAD    STATUS=CONVERGED     202 CALLS         203 TOTAL
-                     EDM=9.20948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14895e+02   5.51583e-01   1.31460e-03   1.61689e-01
-   2  sg_p1        3.03350e+01   7.44882e-01   5.76073e-03  -3.27245e-02
-   3  sg_p2        1.86472e+00   2.01246e-01   6.02311e-03  -3.75996e-03
-   4  sg_p3        1.20817e+00   6.26611e-02   1.44547e-03   2.50672e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.043e-01 -1.559e-01 -6.728e-03 -1.871e-02 
- -1.559e-01  5.570e-01  1.146e-01  3.885e-02 
- -6.728e-03  1.146e-01  4.059e-02  7.410e-03 
- -1.871e-02  3.885e-02  7.410e-03  3.927e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63293   1.000 -0.379 -0.061 -0.541
-        2  0.89852  -0.379  1.000  0.762  0.831
-        3  0.80154  -0.061  0.762  1.000  0.587
-        4  0.86629  -0.541  0.831  0.587  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM HESSE     STATUS=OK             23 CALLS         226 TOTAL
-                     EDM=9.24142e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14895e+02   5.53867e-01   2.62920e-04   1.22682e-01
-   2  sg_p1        3.03350e+01   7.70523e-01   2.30429e-04   3.87633e-01
-   3  sg_p2        1.86472e+00   2.07594e-01   2.40925e-04  -2.56930e-01
-   4  sg_p3        1.20817e+00   6.42645e-02   5.78186e-05  -7.13930e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.068e-01 -1.637e-01 -8.469e-03 -1.930e-02 
- -1.637e-01  5.962e-01  1.248e-01  4.167e-02 
- -8.469e-03  1.248e-01  4.320e-02  8.128e-03 
- -1.930e-02  4.167e-02  8.128e-03  4.131e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63682   1.000 -0.383 -0.074 -0.542
-        2  0.90554  -0.383  1.000  0.777  0.840
-        3  0.81484  -0.074  0.777  1.000  0.608
-        4  0.87336  -0.542  0.840  0.608  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.895 +- 0.553867
-30.335 +- 0.770523
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31997 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.37823e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -7.64703e+01
-   3  sg_p2        1.30597e+00   5.00000e-01   0.00000e+00  -1.46520e+01
-   4  sg_p3        1.20892e+00   7.00000e-01  -7.13644e-01   4.56011e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM MIGRAD    STATUS=CONVERGED     187 CALLS         188 TOTAL
-                     EDM=0.000455256    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14847e+02   4.88994e-01   1.26432e-03   4.89756e-01
-   2  sg_p1        2.93287e+01   6.86296e-01   5.26048e-03   5.85295e-02
-   3  sg_p2        1.92235e+00   2.48995e-01   6.70981e-03   1.75003e-01
-   4  sg_p3        1.17091e+00   4.94270e-02   1.31942e-03  -2.75253e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.391e-01 -5.711e-02  1.273e-02 -9.083e-03 
- -5.711e-02  4.724e-01  1.369e-01  2.673e-02 
-  1.273e-02  1.369e-01  6.222e-02  7.189e-03 
- -9.083e-03  2.673e-02  7.189e-03  2.443e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55484   1.000 -0.170  0.104 -0.376
-        2  0.89241  -0.170  1.000  0.799  0.787
-        3  0.83537   0.104  0.799  1.000  0.583
-        4  0.82462  -0.376  0.787  0.583  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM HESSE     STATUS=OK             29 CALLS         217 TOTAL
-                     EDM=0.000126642    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14847e+02   4.87177e-01   2.52865e-04   1.21475e-01
-   2  sg_p1        2.93287e+01   4.44229e-01   2.10419e-04   2.46308e-01
-   3  sg_p2        1.92235e+00   1.10134e-01   2.00630e-01  -2.33169e-01
-   4  sg_p3        1.17091e+00   4.11749e-02   5.27768e-05  -7.28101e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.374e-01 -8.558e-02  4.043e-04 -1.061e-02 
- -8.558e-02  1.976e-01  1.759e-02  1.238e-02 
-  4.043e-04  1.759e-02  1.214e-02  9.448e-04 
- -1.061e-02  1.238e-02  9.448e-04  1.696e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55015   1.000 -0.395  0.008 -0.529
-        2  0.71638  -0.395  1.000  0.359  0.676
-        3  0.39465   0.008  0.359  1.000  0.208
-        4  0.73407  -0.529  0.676  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.847 +- 0.487177
-29.3287 +- 0.444229
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29376.3 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.21334e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.14912e+02
-   3  sg_p2        1.36391e+00   5.00000e-01   0.00000e+00   1.01339e+02
-   4  sg_p3        1.20442e+00   7.00000e-01  -7.15346e-01   5.08593e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM MIGRAD    STATUS=CONVERGED     194 CALLS         195 TOTAL
-                     EDM=0.000205755    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14660e+02   4.99096e-01   1.29653e-03  -5.11216e-02
-   2  sg_p1        3.02540e+01   3.59225e-01   5.55826e-03   5.44144e-02
-   3  sg_p2        2.08275e+00   1.37518e-01   6.20642e-03   1.37624e-01
-   4  sg_p3        1.21801e+00   3.97286e-02   1.50718e-03  -6.59977e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.491e-01  5.789e-03  1.174e-02 -9.048e-03 
-  5.789e-03  1.292e-01  1.502e-02 -3.879e-03 
-  1.174e-02  1.502e-02  1.893e-02 -7.314e-04 
- -9.048e-03 -3.879e-03 -7.314e-04  1.578e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48768   1.000  0.032  0.171 -0.456
-        2  0.40688   0.032  1.000  0.304 -0.272
-        3  0.34471   0.171  0.304  1.000 -0.134
-        4  0.52420  -0.456 -0.272 -0.134  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM HESSE     STATUS=OK             23 CALLS         218 TOTAL
-                     EDM=0.000176487    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14660e+02   6.63602e-01   2.59307e-04   1.16777e-01
-   2  sg_p1        3.02540e+01   6.28299e-01   2.22330e-04   3.75996e-01
-   3  sg_p2        2.08275e+00   1.45711e-01   2.48257e-04  -1.67686e-01
-   4  sg_p3        1.21801e+00   6.93582e-02   3.01436e-04  -7.10215e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.404e-01 -2.750e-01 -1.507e-02 -3.419e-02 
- -2.750e-01  3.958e-01  3.829e-02  3.641e-02 
- -1.507e-02  3.829e-02  2.126e-02  3.230e-03 
- -3.419e-02  3.641e-02  3.230e-03  4.812e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75425   1.000 -0.659 -0.156 -0.743
-        2  0.85307  -0.659  1.000  0.417  0.834
-        3  0.44715  -0.156  0.417  1.000  0.319
-        4  0.87298  -0.743  0.834  0.319  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.66 +- 0.663602
-30.254 +- 0.628299
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=34491.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -1.23996e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.14064e+01
-   3  sg_p2        1.33344e+00   5.00000e-01   0.00000e+00   1.23543e+02
-   4  sg_p3        1.01604e+00   7.00000e-01  -7.89075e-01  -7.54461e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=1.48214e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14750e+02   5.25007e-01   1.29029e-03   2.37283e-01
-   2  sg_p1        3.02408e+01   4.81625e-01   5.53748e-03  -1.27642e-02
-   3  sg_p2        2.07745e+00   1.27929e-01   6.14558e-03   4.69647e-02
-   4  sg_p3        1.21295e+00   5.03011e-02   1.45362e-03   1.82273e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -1.325e-01 -3.877e-03 -1.666e-02 
- -1.325e-01  2.323e-01  2.235e-02  1.825e-02 
- -3.877e-03  2.235e-02  1.638e-02  1.568e-03 
- -1.666e-02  1.825e-02  1.568e-03  2.531e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64731   1.000 -0.523 -0.058 -0.631
-        2  0.77971  -0.523  1.000  0.362  0.753
-        3  0.39469  -0.058  0.362  1.000  0.244
-        4  0.80244  -0.631  0.753  0.244  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM HESSE     STATUS=OK             23 CALLS         212 TOTAL
-                     EDM=1.52019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14750e+02   5.22645e-01   2.58059e-04   1.19022e-01
-   2  sg_p1        3.02408e+01   4.78916e-01   2.21499e-04   3.74107e-01
-   3  sg_p2        2.07745e+00   1.30836e-01   2.45823e-04  -1.69835e-01
-   4  sg_p3        1.21295e+00   4.98205e-02   5.81447e-05  -7.12123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.732e-01 -1.292e-01 -3.790e-03 -1.629e-02 
- -1.292e-01  2.297e-01  2.340e-02  1.784e-02 
- -3.790e-03  2.340e-02  1.713e-02  1.620e-03 
- -1.629e-02  1.784e-02  1.620e-03  2.482e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64323   1.000 -0.516 -0.055 -0.626
-        2  0.77685  -0.516  1.000  0.373  0.747
-        3  0.40646  -0.055  0.373  1.000  0.248
-        4  0.79826  -0.626  0.747  0.248  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.75 +- 0.522645
-30.2408 +- 0.478916
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 914.708 +- 0.637633 (stat) - 2.04205 + 2.52294 (syst); -2.06678/+2.54301 (total)
-   Uncertainty on sg_p1 = 30.2451 +- 0.604034 (stat) - 0.916401 + 0.130325 (syst); -0.964886/+0.328936 (total)
-   Uncertainty on sg_p2 = 2.07933 +- 0.139479 (stat) - 0.214614 + 0.199247 (syst); -0.225661/+0.2111 (total)
-   Uncertainty on sg_p3 = 1.21527 +- 0.0662844 (stat) - 0.0445565 + 0.00274258 (syst); -0.055531/+0.0332555 (total)
-   === Baseline plot === </br>
-   norm = 232.078
-JEC     lnN   1.00857  -
-JER     lnN   1.01164  -
-btag    lnN   1.0799  -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/save/Histogram_BTagCSV.root b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/save/Histogram_BTagCSV.root
deleted file mode 100644
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GIT binary patch
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deleted file mode 100644
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diff --git a/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/save/Histograms_ST.root b/PreselectedWithRegressionDeepCSV/MMRSelection_chi2/save/Histograms_ST.root
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diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
deleted file mode 100644
index 6cbb32a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,65 +0,0 @@
-Running Minos for POI 
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (161.693) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.0205885, JER=-0.0237612, PDF=-0.0174317, bTag=-0.0809513, lumi_13TeV=-0.0296179, par_crystal_0=-0.0572823, par_crystal_1=0.681541, par_crystal_1_0=0.237913, par_crystal_1_1=4.44737, par_crystal_1_2=279.979, par_crystal_1_3=18.7584, par_crystal_2=271.192, par_crystal_3=38.7194, r=0.210246, sg_p0=260.912, sg_p1=3.47675, sg_p2=267.514, sg_p3=34.2364, sg_p4=0.640029, trigger=-0.107538
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_0 p1=par_crystal_1 p2=par_crystal_2 p3=par_crystal_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=330, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=291, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=271.5, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=310.5, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=281.25, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=300.75, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=320.25, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=276.375, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.125, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=295.875, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=305.625, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=315.375, p0=par_crystal_0=-0.0572823 +/- 0.0139489, p1=par_crystal_1=0.681541 +/- 3.84042, p2=par_crystal_2=271.192 +/- 0.599884, p3=par_crystal_3=38.7194 +/- 0.860854
-    ... (remaining 205109 messages suppressed)
-
-[#0] WARNING:Integration -- RooIntegrator1D::integral: integral of shapeBkg_background_HbbHbb over range (252,330) did not converge after 20 steps
-   [1] h = 1 , s = 2.83239e-56
-   [2] h = 0.25 , s = 4.32127e-12
-   [3] h = 0.0625 , s = 0.0464655
-   [4] h = 0.015625 , s = 3.93686
-   [5] h = 0.00390625 , s = 6.90925
-   [6] h = 0.000976562 , s = 5.64343
-   [7] h = 0.000244141 , s = 5.03615
-   [8] h = 6.10352e-05 , s = 5.34028
-   [9] h = 1.52588e-05 , s = 5.189
-   [10] h = 3.8147e-06 , s = 5.26475
-   [11] h = 9.53674e-07 , s = 5.22691
-   [12] h = 2.38419e-07 , s = 5.24584
-   [13] h = 5.96046e-08 , s = 5.25531
-   [14] h = 1.49012e-08 , s = 5.26004
-   [15] h = 3.72529e-09 , s = 5.25767
-   [16] h = 9.31323e-10 , s = 5.25649
-   [17] h = 2.32831e-10 , s = 5.2559
-   [18] h = 5.82077e-11 , s = 5.2556
-   [19] h = 1.45519e-11 , s = 5.25575
-   [20] h = 3.63798e-12 , s = 5.25568
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (161.693) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.0206954, JER=-0.023928, PDF=-0.0174764, bTag=-0.080831, lumi_13TeV=-0.0298351, par_crystal_0=-0.108421, par_crystal_1=1.07626, par_crystal_1_0=0.237913, par_crystal_1_1=4.44737, par_crystal_1_2=279.979, par_crystal_1_3=18.7584, par_crystal_2=255.549, par_crystal_3=-4.5897, r=0.210246, sg_p0=260.912, sg_p1=3.47678, sg_p2=267.514, sg_p3=34.2364, sg_p4=0.640029, trigger=-0.108506
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_0 p1=par_crystal_1 p2=par_crystal_2 p3=par_crystal_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=253.5, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=252, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=254.438, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=253.219, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=255.656, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=252.609, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=253.828, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=255.047, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=252.305, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=252.914, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=253.523, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=254.133, p0=par_crystal_0=-0.108421 +/- 0.0139489, p1=par_crystal_1=1.07626 +/- 3.84042, p2=par_crystal_2=255.549 +/- 0.599884, p3=par_crystal_3=-4.5897 +/- 0.860854
-    ... (remaining 27189 messages suppressed)
-
-Real time 0:00:05, CP time 5.810
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 3.02288e-07  -3.02288e-07/+0.408135  (68% CL)
-nll S+B -> -0.117083  nll B -> -0.117083
-Done in 0.11 min (cpu), 0.11 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
deleted file mode 100644
index 5b46bb6..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.897658:	q_mu = 3.74469	q_A  = 4.04428	CLsb = 0.02649	CLb  = 0.53026	CLs  = 0.04995
-
- -- Asymptotic -- 
-Observed Limit: r < 0.8977
-Expected  2.5%: r < 0.4689
-Expected 16.0%: r < 0.6682
-Expected 50.0%: r < 0.9414
-Expected 84.0%: r < 1.4180
-Expected 97.5%: r < 2.0895
-
-Done in 1.61 min (cpu), 1.61 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt
deleted file mode 100644
index 36f4d8c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  191.924 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06823    -
-JER       lnN     1.02103   - 
-JEC       lnN     1.01807   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01504940545   -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/pdf.log
deleted file mode 100644
index d74576e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=7.89989 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=5.9771e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.98474e+01   2.50075e+00   3.01290e-03  -1.61476e-05
-   2  Mean         1.00154e+00   1.72384e-03   2.41798e-06   3.32702e-02
-   3  Sigma        1.50494e-02   1.19888e-03   3.07932e-05   1.91423e-03
-1.00153706947 +/- 0.00172384303603
-0.0150494054533 +/- 0.00119888063503
-PDF lnN 1.01504940545
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/signal260_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/signal260_sig.log
deleted file mode 100644
index 13dd83d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_crystal_252_330/signal260_sig.log
+++ /dev/null
@@ -1,842 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7249.56 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -3.41934e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -9.44540e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.87170e+02
-   4  sg_p3        5.54385e+01   2.90000e+01  -7.56845e-01  -4.27472e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.11620e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM MIGRAD    STATUS=CONVERGED     183 CALLS         184 TOTAL
-                     EDM=2.26284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.54307e+02   4.46691e-01   1.29592e-03   1.21370e-02
-   2  sg_p1        1.55513e+01   3.65330e-01   1.72918e-03  -4.57555e-02
-   3  sg_p2        3.13992e+02   1.11306e+01   1.54612e-03   9.59972e-03
-   4  sg_p3        7.00767e+01   6.24766e+00   2.56609e-03   1.76365e-03
-   5  sg_p4        9.03546e-01   1.22165e-02   2.78748e-03  -5.41093e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.996e-01  3.046e-02  3.316e-01  2.128e-01  9.423e-04 
-  3.046e-02  1.335e-01  1.073e+00 -6.884e-02  1.627e-03 
-  3.316e-01  1.073e+00  1.240e+02 -3.745e+01  8.007e-02 
-  2.128e-01 -6.884e-02 -3.745e+01  3.907e+01 -1.718e-02 
-  9.423e-04  1.627e-03  8.007e-02 -1.718e-02  1.494e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24437   1.000  0.187  0.067  0.076  0.173
-        2  0.40012   0.187  1.000  0.264 -0.030  0.364
-        3  0.72503   0.067  0.264  1.000 -0.538  0.588
-        4  0.56339   0.076 -0.030 -0.538  1.000 -0.225
-        5  0.63827   0.173  0.364  0.588 -0.225  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM HESSE     STATUS=OK             31 CALLS         215 TOTAL
-                     EDM=2.25533e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.54307e+02   4.46615e-01   2.59185e-04   2.17043e-01
-   2  sg_p1        1.55513e+01   3.65352e-01   3.45837e-04   1.79332e-01
-   3  sg_p2        3.13992e+02   1.12246e+01   6.18447e-05   4.82680e-02
-   4  sg_p3        7.00767e+01   6.29870e+00   1.02643e-04  -6.25716e-01
-   5  sg_p4        9.03546e-01   1.22468e-02   1.11499e-04   6.61353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.995e-01  3.031e-02  3.258e-01  2.130e-01  9.376e-04 
-  3.031e-02  1.335e-01  1.084e+00 -7.870e-02  1.633e-03 
-  3.258e-01  1.084e+00  1.261e+02 -3.883e+01  8.134e-02 
-  2.130e-01 -7.870e-02 -3.883e+01  3.971e+01 -1.806e-02 
-  9.376e-04  1.633e-03  8.134e-02 -1.806e-02  1.502e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24371   1.000  0.186  0.065  0.076  0.171
-        2  0.40024   0.186  1.000  0.264 -0.034  0.365
-        3  0.73047   0.065  0.264  1.000 -0.549  0.591
-        4  0.57308   0.076 -0.034 -0.549  1.000 -0.234
-        5  0.64057   0.171  0.365  0.591 -0.234  1.000
-260
-254.307 +- 0.446615
-15.5513 +- 0.365352
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7365.44 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -5.31672e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -1.29968e+02
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.18090e+02
-   4  sg_p3        7.02234e+01   2.90000e+01  -6.24469e-01   3.04411e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.01446e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM MIGRAD    STATUS=CONVERGED     193 CALLS         194 TOTAL
-                     EDM=9.01413e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.56005e+02   4.49108e-01   1.34491e-03  -5.08347e-03
-   2  sg_p1        1.58159e+01   3.69974e-01   1.76393e-03  -5.10762e-02
-   3  sg_p2        3.20358e+02   1.45835e+01   1.97066e-03   3.38124e-02
-   4  sg_p3        8.43702e+01   8.25437e+00   3.00025e-03   1.43647e-02
-   5  sg_p4        9.08830e-01   1.15488e-02   2.75207e-03  -4.16137e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.033e-02  4.244e-01  2.172e-01  8.632e-04 
-  3.033e-02  1.369e-01  1.451e+00 -1.530e-01  1.573e-03 
-  4.244e-01  1.451e+00  2.129e+02 -7.227e+01  9.550e-02 
-  2.172e-01 -1.530e-01 -7.227e+01  6.823e+01 -2.243e-02 
-  8.632e-04  1.573e-03  9.550e-02 -2.243e-02  1.335e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23216   1.000  0.182  0.065  0.059  0.166
-        2  0.40488   0.182  1.000  0.269 -0.050  0.368
-        3  0.74731   0.065  0.269  1.000 -0.600  0.566
-        4  0.62245   0.059 -0.050 -0.600  1.000 -0.235
-        5  0.62271   0.166  0.368  0.566 -0.235  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM HESSE     STATUS=OK             31 CALLS         225 TOTAL
-                     EDM=9.02546e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.56005e+02   4.49038e-01   5.37964e-05   3.04976e-01
-   2  sg_p1        1.58159e+01   3.70057e-01   3.52786e-04   2.02768e-01
-   3  sg_p2        3.20358e+02   1.47403e+01   3.94131e-04   7.02587e-02
-   4  sg_p3        8.43702e+01   8.34145e+00   1.20010e-04  -5.08769e-01
-   5  sg_p4        9.08830e-01   1.15806e-02   5.50414e-04   6.88425e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.017e-02  4.192e-01  2.171e-01  8.603e-04 
-  3.017e-02  1.370e-01  1.472e+00 -1.690e-01  1.581e-03 
-  4.192e-01  1.472e+00  2.175e+02 -7.517e+01  9.735e-02 
-  2.171e-01 -1.690e-01 -7.517e+01  6.968e+01 -2.367e-02 
-  8.603e-04  1.581e-03  9.735e-02 -2.367e-02  1.343e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23152   1.000  0.182  0.063  0.058  0.165
-        2  0.40534   0.182  1.000  0.270 -0.055  0.369
-        3  0.75354   0.063  0.270  1.000 -0.611  0.570
-        4  0.63259   0.058 -0.055 -0.611  1.000 -0.245
-        5  0.62540   0.165  0.369  0.570 -0.245  1.000
-260
-256.005 +- 0.449038
-15.8159 +- 0.370057
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7023.18 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -2.24645e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -8.46385e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.26204e+02
-   4  sg_p3        6.83932e+01   2.90000e+01  -6.40116e-01   1.32344e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.30920e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=1.6519e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.53020e+02   4.42659e-01   1.26031e-03   3.88378e-02
-   2  sg_p1        1.54031e+01   3.53863e-01   1.68006e-03  -8.87814e-02
-   3  sg_p2        3.18681e+02   1.25359e+01   1.70808e-03   3.37307e-03
-   4  sg_p3        7.61417e+01   7.12298e+00   2.70731e-03  -4.47116e-02
-   5  sg_p4        9.04717e-01   1.16729e-02   2.71701e-03  -2.80475e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.960e-01  2.470e-02  3.794e-01  1.447e-01  7.850e-04 
-  2.470e-02  1.253e-01  1.069e+00 -1.360e-01  1.312e-03 
-  3.794e-01  1.069e+00  1.572e+02 -5.206e+01  8.352e-02 
-  1.447e-01 -1.360e-01 -5.206e+01  5.079e+01 -2.199e-02 
-  7.850e-04  1.312e-03  8.352e-02 -2.199e-02  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20982   1.000  0.158  0.068  0.046  0.152
-        2  0.35244   0.158  1.000  0.241 -0.054  0.317
-        3  0.72927   0.068  0.241  1.000 -0.582  0.570
-        4  0.59651   0.046 -0.054 -0.582  1.000 -0.264
-        5  0.60854   0.152  0.317  0.570 -0.264  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM HESSE     STATUS=OK             31 CALLS         213 TOTAL
-                     EDM=1.65128e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.53020e+02   4.42602e-01   2.52062e-04   1.51594e-01
-   2  sg_p1        1.54031e+01   3.53933e-01   3.36012e-04   1.66253e-01
-   3  sg_p2        3.18681e+02   1.26590e+01   6.83233e-05   6.44624e-02
-   4  sg_p3        7.61417e+01   7.19114e+00   1.08292e-04  -5.75018e-01
-   5  sg_p4        9.04717e-01   1.17079e-02   5.43402e-04   6.67300e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.959e-01  2.459e-02  3.764e-01  1.438e-01  7.830e-04 
-  2.459e-02  1.253e-01  1.084e+00 -1.475e-01  1.320e-03 
-  3.764e-01  1.084e+00  1.604e+02 -5.404e+01  8.512e-02 
-  1.438e-01 -1.475e-01 -5.404e+01  5.177e+01 -2.306e-02 
-  7.830e-04  1.320e-03  8.512e-02 -2.306e-02  1.372e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20923   1.000  0.157  0.067  0.045  0.151
-        2  0.35293   0.157  1.000  0.242 -0.058  0.318
-        3  0.73547   0.067  0.242  1.000 -0.593  0.574
-        4  0.60661   0.045 -0.058 -0.593  1.000 -0.274
-        5  0.61162   0.151  0.318  0.574 -0.274  1.000
-260
-253.02 +- 0.442602
-15.4031 +- 0.353933
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5529.06 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.09302e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.84754e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.60258e+01
-   4  sg_p3        1.19103e+02   2.90000e+01  -2.50167e-01   6.51588e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55737e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM MIGRAD    STATUS=CONVERGED     276 CALLS         277 TOTAL
-                     EDM=4.33865e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.23280e-01   6.16272e-04  -2.78767e-01
-   2  sg_p1        3.47719e+00   1.26808e-01   2.66781e-03  -6.03093e-03
-   3  sg_p2        2.67513e+02   7.88309e+00   7.67886e-04  -3.32533e-01
-   4  sg_p3        3.42369e+01   3.97181e+00   1.09311e-03  -2.13224e-01
-   5  sg_p4        6.40026e-01   4.56991e-02   3.70400e-03   4.78364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.286e-03 -3.667e-02  3.860e-02  7.477e-05 
-  2.286e-03  1.610e-02  4.707e-01 -1.623e-01  3.257e-03 
- -3.667e-02  4.707e-01  6.220e+01 -2.796e+01  3.355e-01 
-  3.860e-02 -1.623e-01 -2.796e+01  1.579e+01 -1.455e-01 
-  7.477e-05  3.257e-03  3.355e-01 -1.455e-01  2.118e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20586   1.000  0.146 -0.038  0.079  0.013
-        2  0.60362   0.146  1.000  0.470 -0.322  0.558
-        3  0.95992  -0.038  0.470  1.000 -0.892  0.924
-        4  0.90004   0.079 -0.322 -0.892  1.000 -0.796
-        5  0.93542   0.013  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM HESSE     STATUS=OK             31 CALLS         308 TOTAL
-                     EDM=4.34749e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.23300e-01   1.23254e-04   9.13107e-02
-   2  sg_p1        3.47719e+00   1.27818e-01   1.06712e-04  -2.64476e-01
-   3  sg_p2        2.67513e+02   8.27292e+00   1.53577e-04   5.44068e-01
-   4  sg_p3        3.42369e+01   4.16972e+00   2.18622e-04  -9.84235e-01
-   5  sg_p4        6.40026e-01   4.75240e-02   7.40799e-04  -4.55485e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.233e-03 -4.363e-02  4.203e-02  3.794e-05 
-  2.233e-03  1.636e-02  5.114e-01 -1.832e-01  3.471e-03 
- -4.363e-02  5.114e-01  6.851e+01 -3.117e+01  3.687e-01 
-  4.203e-02 -1.832e-01 -3.117e+01  1.740e+01 -1.624e-01 
-  3.794e-05  3.471e-03  3.687e-01 -1.624e-01  2.293e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20660   1.000  0.142 -0.043  0.082  0.006
-        2  0.61186   0.142  1.000  0.483 -0.343  0.567
-        3  0.96369  -0.043  0.483  1.000 -0.903  0.930
-        4  0.90977   0.082 -0.343 -0.903  1.000 -0.813
-        5  0.94051   0.006  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.1233
-3.47719 +- 0.127818
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5643.26 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.61456e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -4.66447e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -2.40363e+01
-   4  sg_p3        1.17448e+02   2.90000e+01  -2.61968e-01   1.99273e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.86435e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=7.77109e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61021e+02   1.29098e-01   6.49909e-04  -1.01661e-02
-   2  sg_p1        3.57410e+00   1.33955e-01   2.78633e-03   8.71570e-03
-   3  sg_p2        2.69189e+02   7.27138e+00   7.50620e-04  -6.29806e-03
-   4  sg_p3        3.37078e+01   3.73722e+00   1.08346e-03   1.26302e-02
-   5  sg_p4        6.28095e-01   4.44728e-02   3.81722e-03   4.51572e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.658e-03 -2.984e-02  3.729e-02  1.239e-04 
-  2.658e-03  1.797e-02  4.694e-01 -1.655e-01  3.402e-03 
- -2.984e-02  4.694e-01  5.292e+01 -2.409e+01  2.999e-01 
-  3.729e-02 -1.655e-01 -2.409e+01  1.398e+01 -1.324e-01 
-  1.239e-04  3.402e-03  2.999e-01 -1.324e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21380   1.000  0.154 -0.032  0.077  0.021
-        2  0.61009   0.154  1.000  0.481 -0.330  0.567
-        3  0.95628  -0.032  0.481  1.000 -0.886  0.921
-        4  0.89342   0.077 -0.330 -0.886  1.000 -0.790
-        5  0.93183   0.021  0.567  0.921 -0.790  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM HESSE     STATUS=OK             31 CALLS         361 TOTAL
-                     EDM=7.78626e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61021e+02   1.29118e-01   1.29982e-04   1.02301e-01
-   2  sg_p1        3.57410e+00   1.35116e-01   1.11453e-04  -2.14592e-01
-   3  sg_p2        2.69189e+02   7.65572e+00   3.00248e-05   5.55561e-01
-   4  sg_p3        3.37078e+01   3.93737e+00   4.33384e-05  -9.90860e-01
-   5  sg_p4        6.28095e-01   4.63527e-02   1.52689e-04  -5.09360e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.595e-03 -3.703e-02  4.087e-02  8.376e-05 
-  2.595e-03  1.829e-02  5.123e-01 -1.882e-01  3.639e-03 
- -3.703e-02  5.123e-01  5.866e+01 -2.709e+01  3.317e-01 
-  4.087e-02 -1.882e-01 -2.709e+01  1.552e+01 -1.489e-01 
-  8.376e-05  3.639e-03  3.317e-01 -1.489e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21449   1.000  0.149 -0.037  0.080  0.014
-        2  0.61885   0.149  1.000  0.495 -0.353  0.576
-        3  0.96065  -0.037  0.495  1.000 -0.898  0.927
-        4  0.90455   0.080 -0.353 -0.898  1.000 -0.810
-        5  0.93751   0.014  0.576  0.927 -0.810  1.000
-260
-261.021 +- 0.129118
-3.5741 +- 0.135116
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5267.68 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -5.95437e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00   3.20402e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.99949e+01
-   4  sg_p3        1.11751e+02   2.90000e+01  -3.02882e-01  -4.35631e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.33332e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=1.65041e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60758e+02   1.21975e-01   5.95143e-04   1.08233e-01
-   2  sg_p1        3.44214e+00   1.23415e-01   2.58042e-03  -3.07927e-02
-   3  sg_p2        2.66886e+02   8.40621e+00   7.85904e-04  -8.91521e-02
-   4  sg_p3        3.45456e+01   4.21772e+00   1.11909e-03  -3.70390e-02
-   5  sg_p4        6.53607e-01   4.66834e-02   3.55052e-03   4.88918e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.239e-03 -3.126e-02  3.680e-02  1.101e-04 
-  2.239e-03  1.525e-02  4.727e-01 -1.617e-01  3.144e-03 
- -3.126e-02  4.727e-01  7.074e+01 -3.174e+01  3.661e-01 
-  3.680e-02 -1.617e-01 -3.174e+01  1.781e+01 -1.585e-01 
-  1.101e-04  3.144e-03  3.661e-01 -1.585e-01  2.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20236   1.000  0.149 -0.030  0.072  0.019
-        2  0.58940   0.149  1.000  0.455 -0.310  0.542
-        3  0.96112  -0.030  0.455  1.000 -0.894  0.926
-        4  0.90222   0.072 -0.310 -0.894  1.000 -0.799
-        5  0.93659   0.019  0.542  0.926 -0.799  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.76189e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60758e+02   1.21991e-01   1.19029e-04   7.59045e-02
-   2  sg_p1        3.44214e+00   1.24473e-01   5.16084e-04  -2.82680e-01
-   3  sg_p2        2.66886e+02   8.89789e+00   1.57181e-04   5.39785e-01
-   4  sg_p3        3.45456e+01   4.46620e+00   4.47638e-05  -9.80400e-01
-   5  sg_p4        6.53607e-01   4.88967e-02   1.42021e-04  -3.95830e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.186e-03 -3.913e-02  4.064e-02  6.994e-05 
-  2.186e-03  1.552e-02  5.207e-01 -1.864e-01  3.386e-03 
- -3.913e-02  5.207e-01  7.927e+01 -3.606e+01  4.092e-01 
-  4.064e-02 -1.864e-01 -3.606e+01  1.997e+01 -1.803e-01 
-  6.994e-05  3.386e-03  4.092e-01 -1.803e-01  2.428e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20297   1.000  0.144 -0.036  0.075  0.012
-        2  0.59871   0.144  1.000  0.470 -0.335  0.552
-        3  0.96537  -0.036  0.470  1.000 -0.906  0.933
-        4  0.91331   0.075 -0.335 -0.906  1.000 -0.819
-        5  0.94245   0.012  0.552  0.933 -0.819  1.000
-260
-260.758 +- 0.121991
-3.44214 +- 0.124473
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5338.33 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.92141e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -3.46913e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.94669e+01
-   4  sg_p3        1.15260e+02   2.90000e+01  -2.77623e-01   2.60024e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.53009e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=1.81993e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60953e+02   1.29425e-01   6.35842e-04   1.60007e-03
-   2  sg_p1        3.60691e+00   1.34289e-01   2.70753e-03   6.00340e-02
-   3  sg_p2        2.69933e+02   7.51981e+00   7.59887e-04   1.45220e-02
-   4  sg_p3        3.30610e+01   3.84505e+00   1.10949e-03  -7.50525e-02
-   5  sg_p4        6.55961e-01   4.53996e-02   3.52891e-03  -1.95435e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.675e-02  2.478e-03 -2.803e-02  3.713e-02  1.271e-04 
-  2.478e-03  1.806e-02  5.001e-01 -1.785e-01  3.521e-03 
- -2.803e-02  5.001e-01  5.660e+01 -2.561e+01  3.175e-01 
-  3.713e-02 -1.785e-01 -2.561e+01  1.480e+01 -1.399e-01 
-  1.271e-04  3.521e-03  3.175e-01 -1.399e-01  2.088e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20432   1.000  0.142 -0.029  0.075  0.021
-        2  0.61219   0.142  1.000  0.495 -0.345  0.573
-        3  0.95634  -0.029  0.495  1.000 -0.885  0.924
-        4  0.89204   0.075 -0.345 -0.885  1.000 -0.796
-        5  0.93370   0.021  0.573  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=1.90259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60953e+02   1.29442e-01   1.27168e-04   9.54629e-02
-   2  sg_p1        3.60691e+00   1.35689e-01   5.41506e-04  -1.97834e-01
-   3  sg_p2        2.69933e+02   7.93967e+00   3.03955e-05   5.60690e-01
-   4  sg_p3        3.30610e+01   4.05992e+00   4.43797e-05  -9.99053e-01
-   5  sg_p4        6.55961e-01   4.74783e-02   7.05783e-04  -3.85646e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.676e-02  2.413e-03 -3.514e-02  4.064e-02  8.764e-05 
-  2.413e-03  1.844e-02  5.501e-01 -2.046e-01  3.797e-03 
- -3.514e-02  5.501e-01  6.310e+01 -2.896e+01  3.534e-01 
-  4.064e-02 -2.046e-01 -2.896e+01  1.650e+01 -1.584e-01 
-  8.764e-05  3.797e-03  3.534e-01 -1.584e-01  2.286e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20493   1.000  0.137 -0.034  0.077  0.014
-        2  0.62260   0.137  1.000  0.510 -0.371  0.585
-        3  0.96093  -0.034  0.510  1.000 -0.897  0.930
-        4  0.90377   0.077 -0.371 -0.897  1.000 -0.816
-        5  0.93964   0.014  0.585  0.930 -0.816  1.000
-260
-260.953 +- 0.129442
-3.60691 +- 0.135689
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5550.93 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.28869e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.53562e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.85127e+01
-   4  sg_p3        1.16923e+02   2.90000e+01  -2.65719e-01   3.07224e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51841e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM MIGRAD    STATUS=CONVERGED     274 CALLS         275 TOTAL
-                     EDM=7.69222e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60915e+02   1.19244e-01   5.95259e-04   2.60414e-02
-   2  sg_p1        3.41319e+00   1.20663e-01   2.58530e-03   3.23980e-02
-   3  sg_p2        2.68923e+02   7.42025e+00   7.74450e-04   1.02102e-01
-   4  sg_p3        3.38737e+01   3.84818e+00   1.11926e-03   3.14690e-01
-   5  sg_p4        6.51986e-01   4.29286e-02   3.53695e-03   3.46225e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.303e-03 -1.721e-02  2.984e-02  1.633e-04 
-  2.303e-03  1.458e-02  4.143e-01 -1.451e-01  2.850e-03 
- -1.721e-02  4.143e-01  5.511e+01 -2.526e+01  2.945e-01 
-  2.984e-02 -1.451e-01 -2.526e+01  1.482e+01 -1.311e-01 
-  1.633e-04  2.850e-03  2.945e-01 -1.311e-01  1.865e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20941   1.000  0.160 -0.019  0.065  0.032
-        2  0.59245   0.160  1.000  0.462 -0.312  0.547
-        3  0.95480  -0.019  0.462  1.000 -0.884  0.919
-        4  0.89128   0.065 -0.312 -0.884  1.000 -0.789
-        5  0.92953   0.032  0.547  0.919 -0.789  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM HESSE     STATUS=OK             31 CALLS         306 TOTAL
-                     EDM=7.77868e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60915e+02   1.19248e-01   1.19052e-04   9.16025e-02
-   2  sg_p1        3.41319e+00   1.21507e-01   5.17060e-04  -2.97787e-01
-   3  sg_p2        2.68923e+02   7.75724e+00   1.54890e-04   5.53729e-01
-   4  sg_p3        3.38737e+01   4.02350e+00   2.23853e-04  -9.88776e-01
-   5  sg_p4        6.51986e-01   4.45034e-02   7.07389e-04  -4.02868e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.266e-03 -2.167e-02  3.206e-02  1.398e-04 
-  2.266e-03  1.478e-02  4.471e-01 -1.625e-01  3.022e-03 
- -2.167e-02  4.471e-01  6.023e+01 -2.794e+01  3.214e-01 
-  3.206e-02 -1.625e-01 -2.794e+01  1.620e+01 -1.452e-01 
-  1.398e-04  3.022e-03  3.214e-01 -1.452e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20954   1.000  0.156 -0.023  0.067  0.026
-        2  0.60000   0.156  1.000  0.474 -0.332  0.555
-        3  0.95873  -0.023  0.474  1.000 -0.894  0.925
-        4  0.90107   0.067 -0.332 -0.894  1.000 -0.805
-        5  0.93466   0.026  0.555  0.925 -0.805  1.000
-260
-260.915 +- 0.119248
-3.41319 +- 0.121507
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5158.41 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.61967e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.61061e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.77731e+01
-   4  sg_p3        1.15981e+02   2.90000e+01  -2.72457e-01   3.15087e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.44973e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM MIGRAD    STATUS=CONVERGED     308 CALLS         309 TOTAL
-                     EDM=5.20485e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.27328e-01   6.14172e-04  -1.42304e-01
-   2  sg_p1        3.47672e+00   1.30824e-01   2.65500e-03  -1.69927e-02
-   3  sg_p2        2.67457e+02   8.15515e+00   7.65940e-04  -5.24312e-02
-   4  sg_p3        3.41797e+01   4.10175e+00   1.09416e-03  -2.88607e-03
-   5  sg_p4        6.41502e-01   4.72632e-02   3.67010e-03   1.46000e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.621e-02  2.418e-03 -4.005e-02  4.151e-02  7.448e-05 
-  2.418e-03  1.714e-02  5.016e-01 -1.724e-01  3.472e-03 
- -4.005e-02  5.016e-01  6.658e+01 -2.986e+01  3.591e-01 
-  4.151e-02 -1.724e-01 -2.986e+01  1.684e+01 -1.554e-01 
-  7.448e-05  3.472e-03  3.591e-01 -1.554e-01  2.267e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20516   1.000  0.145 -0.039  0.079  0.012
-        2  0.60288   0.145  1.000  0.470 -0.321  0.557
-        3  0.95995  -0.039  0.470  1.000 -0.892  0.924
-        4  0.89989   0.079 -0.321 -0.892  1.000 -0.795
-        5  0.93542   0.012  0.557  0.924 -0.795  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM HESSE     STATUS=OK             31 CALLS         340 TOTAL
-                     EDM=5.2061e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.27350e-01   1.22834e-04   9.13271e-02
-   2  sg_p1        3.47672e+00   1.31905e-01   5.30999e-04  -2.64719e-01
-   3  sg_p2        2.67457e+02   8.59468e+00   1.53188e-04   5.43682e-01
-   4  sg_p3        3.41797e+01   4.32549e+00   4.37665e-05  -9.84949e-01
-   5  sg_p4        6.41502e-01   4.93072e-02   1.46804e-04  -4.48919e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.622e-02  2.353e-03 -4.855e-02  4.568e-02  2.931e-05 
-  2.353e-03  1.743e-02  5.482e-01 -1.965e-01  3.716e-03 
- -4.855e-02  5.482e-01  7.395e+01 -3.362e+01  3.979e-01 
-  4.568e-02 -1.965e-01 -3.362e+01  1.873e+01 -1.751e-01 
-  2.931e-05  3.716e-03  3.979e-01 -1.751e-01  2.471e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20598   1.000  0.140 -0.044  0.083  0.005
-        2  0.61146   0.140  1.000  0.483 -0.344  0.566
-        3  0.96402  -0.044  0.483  1.000 -0.903  0.931
-        4  0.91049   0.083 -0.344 -0.903  1.000 -0.814
-        5  0.94091   0.005  0.566  0.931 -0.814  1.000
-260
-260.912 +- 0.12735
-3.47672 +- 0.131905
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5919.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.57817e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -2.03212e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.98859e+01
-   4  sg_p3        1.17412e+02   2.90000e+01  -2.62219e-01   4.12643e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.69751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=2.6578e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.19425e-01   6.16849e-04  -2.18136e-01
-   2  sg_p1        3.47734e+00   1.22978e-01   2.67008e-03  -4.00164e-03
-   3  sg_p2        2.67522e+02   7.63977e+00   7.68027e-04   8.93806e-02
-   4  sg_p3        3.43314e+01   3.85522e+00   1.09374e-03   1.59575e-01
-   5  sg_p4        6.38280e-01   4.42553e-02   3.71607e-03  -5.05369e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.426e-02  2.165e-03 -3.368e-02  3.602e-02  7.485e-05 
-  2.165e-03  1.514e-02  4.429e-01 -1.530e-01  3.060e-03 
- -3.368e-02  4.429e-01  5.842e+01 -2.630e+01  3.147e-01 
-  3.602e-02 -1.530e-01 -2.630e+01  1.487e+01 -1.367e-01 
-  7.485e-05  3.060e-03  3.147e-01 -1.367e-01  1.985e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20661   1.000  0.147 -0.037  0.078  0.014
-        2  0.60439   0.147  1.000  0.471 -0.322  0.558
-        3  0.95995  -0.037  0.471  1.000 -0.892  0.924
-        4  0.90013   0.078 -0.322 -0.892  1.000 -0.796
-        5  0.93549   0.014  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=2.80959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.19444e-01   1.23370e-04   9.13304e-02
-   2  sg_p1        3.47734e+00   1.23908e-01   1.06803e-04  -2.64402e-01
-   3  sg_p2        2.67522e+02   8.01092e+00   1.53605e-04   5.44131e-01
-   4  sg_p3        3.43314e+01   4.04488e+00   2.18748e-04  -9.83058e-01
-   5  sg_p4        6.38280e-01   4.59835e-02   1.48643e-04  -4.63274e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.427e-02  2.115e-03 -4.024e-02  3.926e-02  4.011e-05 
-  2.115e-03  1.537e-02  4.799e-01 -1.722e-01  3.254e-03 
- -4.024e-02  4.799e-01  6.424e+01 -2.927e+01  3.453e-01 
-  3.926e-02 -1.722e-01 -2.927e+01  1.637e+01 -1.524e-01 
-  4.011e-05  3.254e-03  3.453e-01 -1.524e-01  2.145e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20733   1.000  0.143 -0.042  0.081  0.007
-        2  0.61221   0.143  1.000  0.483 -0.343  0.567
-        3  0.96365  -0.042  0.483  1.000 -0.903  0.930
-        4  0.90974   0.081 -0.343 -0.903  1.000 -0.813
-        5  0.94046   0.007  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.119444
-3.47734 +- 0.123908
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 260.912 +- 0.1233 (stat) - 0.153523 + 0.10939 (syst); -0.165439/+0.125566 (total)
-   Uncertainty on sg_p1 = 3.47719 +- 0.127818 (stat) - 0.064005 + 0.129714 (syst); -0.0904489/+0.144603 (total)
-   Uncertainty on sg_p2 = 267.513 +- 8.27292 (stat) - 0.627396 + 2.41961 (syst); -4.18377/+4.79216 (total)
-   Uncertainty on sg_p3 = 34.2369 +- 4.16972 (stat) - 1.17594 + 0.308663 (syst); -2.39363/+2.10758 (total)
-   Uncertainty on sg_p4 = 0.640026 +- 0.047524 (stat) - 0.0119301 + 0.0159351 (syst); -0.0265887/+0.0286105 (total) 
-   === Baseline plot === </br>
-   norm = 191.924
-JEC     lnN   1.01807  -
-JER     lnN   1.02103  -
-btag    lnN   1.06823  -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
deleted file mode 100644
index 7af82aa..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0248922  -0.0248922/+0.43329  (68% CL)
-nll S+B -> -0.0123211  nll B -> -0.0106084
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
deleted file mode 100644
index 1034803..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.901793:	q_mu = 3.84742	q_A  = 3.84969	CLsb = 0.02491	CLb  = 0.50023	CLs  = 0.04980
-
- -- Asymptotic -- 
-Observed Limit: r < 0.9018
-Expected  2.5%: r < 0.4882
-Expected 16.0%: r < 0.6467
-Expected 50.0%: r < 0.9023
-Expected 84.0%: r < 1.2800
-Expected 97.5%: r < 1.7546
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt
deleted file mode 100644
index c723563..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  191.924 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06823    -
-JER       lnN     1.02103   - 
-JEC       lnN     1.01807   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01504940545   -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/pdf.log
deleted file mode 100644
index d74576e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=7.89989 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=5.9771e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.98474e+01   2.50075e+00   3.01290e-03  -1.61476e-05
-   2  Mean         1.00154e+00   1.72384e-03   2.41798e-06   3.32702e-02
-   3  Sigma        1.50494e-02   1.19888e-03   3.07932e-05   1.91423e-03
-1.00153706947 +/- 0.00172384303603
-0.0150494054533 +/- 0.00119888063503
-PDF lnN 1.01504940545
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/signal260_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/signal260_sig.log
deleted file mode 100644
index 13dd83d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_260_gaus_exp_252_330/signal260_sig.log
+++ /dev/null
@@ -1,842 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7249.56 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -3.41934e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -9.44540e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.87170e+02
-   4  sg_p3        5.54385e+01   2.90000e+01  -7.56845e-01  -4.27472e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.11620e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM MIGRAD    STATUS=CONVERGED     183 CALLS         184 TOTAL
-                     EDM=2.26284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.54307e+02   4.46691e-01   1.29592e-03   1.21370e-02
-   2  sg_p1        1.55513e+01   3.65330e-01   1.72918e-03  -4.57555e-02
-   3  sg_p2        3.13992e+02   1.11306e+01   1.54612e-03   9.59972e-03
-   4  sg_p3        7.00767e+01   6.24766e+00   2.56609e-03   1.76365e-03
-   5  sg_p4        9.03546e-01   1.22165e-02   2.78748e-03  -5.41093e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.996e-01  3.046e-02  3.316e-01  2.128e-01  9.423e-04 
-  3.046e-02  1.335e-01  1.073e+00 -6.884e-02  1.627e-03 
-  3.316e-01  1.073e+00  1.240e+02 -3.745e+01  8.007e-02 
-  2.128e-01 -6.884e-02 -3.745e+01  3.907e+01 -1.718e-02 
-  9.423e-04  1.627e-03  8.007e-02 -1.718e-02  1.494e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24437   1.000  0.187  0.067  0.076  0.173
-        2  0.40012   0.187  1.000  0.264 -0.030  0.364
-        3  0.72503   0.067  0.264  1.000 -0.538  0.588
-        4  0.56339   0.076 -0.030 -0.538  1.000 -0.225
-        5  0.63827   0.173  0.364  0.588 -0.225  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM HESSE     STATUS=OK             31 CALLS         215 TOTAL
-                     EDM=2.25533e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.54307e+02   4.46615e-01   2.59185e-04   2.17043e-01
-   2  sg_p1        1.55513e+01   3.65352e-01   3.45837e-04   1.79332e-01
-   3  sg_p2        3.13992e+02   1.12246e+01   6.18447e-05   4.82680e-02
-   4  sg_p3        7.00767e+01   6.29870e+00   1.02643e-04  -6.25716e-01
-   5  sg_p4        9.03546e-01   1.22468e-02   1.11499e-04   6.61353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.995e-01  3.031e-02  3.258e-01  2.130e-01  9.376e-04 
-  3.031e-02  1.335e-01  1.084e+00 -7.870e-02  1.633e-03 
-  3.258e-01  1.084e+00  1.261e+02 -3.883e+01  8.134e-02 
-  2.130e-01 -7.870e-02 -3.883e+01  3.971e+01 -1.806e-02 
-  9.376e-04  1.633e-03  8.134e-02 -1.806e-02  1.502e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24371   1.000  0.186  0.065  0.076  0.171
-        2  0.40024   0.186  1.000  0.264 -0.034  0.365
-        3  0.73047   0.065  0.264  1.000 -0.549  0.591
-        4  0.57308   0.076 -0.034 -0.549  1.000 -0.234
-        5  0.64057   0.171  0.365  0.591 -0.234  1.000
-260
-254.307 +- 0.446615
-15.5513 +- 0.365352
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7365.44 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -5.31672e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -1.29968e+02
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.18090e+02
-   4  sg_p3        7.02234e+01   2.90000e+01  -6.24469e-01   3.04411e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.01446e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM MIGRAD    STATUS=CONVERGED     193 CALLS         194 TOTAL
-                     EDM=9.01413e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.56005e+02   4.49108e-01   1.34491e-03  -5.08347e-03
-   2  sg_p1        1.58159e+01   3.69974e-01   1.76393e-03  -5.10762e-02
-   3  sg_p2        3.20358e+02   1.45835e+01   1.97066e-03   3.38124e-02
-   4  sg_p3        8.43702e+01   8.25437e+00   3.00025e-03   1.43647e-02
-   5  sg_p4        9.08830e-01   1.15488e-02   2.75207e-03  -4.16137e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.033e-02  4.244e-01  2.172e-01  8.632e-04 
-  3.033e-02  1.369e-01  1.451e+00 -1.530e-01  1.573e-03 
-  4.244e-01  1.451e+00  2.129e+02 -7.227e+01  9.550e-02 
-  2.172e-01 -1.530e-01 -7.227e+01  6.823e+01 -2.243e-02 
-  8.632e-04  1.573e-03  9.550e-02 -2.243e-02  1.335e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23216   1.000  0.182  0.065  0.059  0.166
-        2  0.40488   0.182  1.000  0.269 -0.050  0.368
-        3  0.74731   0.065  0.269  1.000 -0.600  0.566
-        4  0.62245   0.059 -0.050 -0.600  1.000 -0.235
-        5  0.62271   0.166  0.368  0.566 -0.235  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM HESSE     STATUS=OK             31 CALLS         225 TOTAL
-                     EDM=9.02546e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.56005e+02   4.49038e-01   5.37964e-05   3.04976e-01
-   2  sg_p1        1.58159e+01   3.70057e-01   3.52786e-04   2.02768e-01
-   3  sg_p2        3.20358e+02   1.47403e+01   3.94131e-04   7.02587e-02
-   4  sg_p3        8.43702e+01   8.34145e+00   1.20010e-04  -5.08769e-01
-   5  sg_p4        9.08830e-01   1.15806e-02   5.50414e-04   6.88425e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.017e-02  4.192e-01  2.171e-01  8.603e-04 
-  3.017e-02  1.370e-01  1.472e+00 -1.690e-01  1.581e-03 
-  4.192e-01  1.472e+00  2.175e+02 -7.517e+01  9.735e-02 
-  2.171e-01 -1.690e-01 -7.517e+01  6.968e+01 -2.367e-02 
-  8.603e-04  1.581e-03  9.735e-02 -2.367e-02  1.343e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23152   1.000  0.182  0.063  0.058  0.165
-        2  0.40534   0.182  1.000  0.270 -0.055  0.369
-        3  0.75354   0.063  0.270  1.000 -0.611  0.570
-        4  0.63259   0.058 -0.055 -0.611  1.000 -0.245
-        5  0.62540   0.165  0.369  0.570 -0.245  1.000
-260
-256.005 +- 0.449038
-15.8159 +- 0.370057
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7023.18 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -2.24645e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -8.46385e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.26204e+02
-   4  sg_p3        6.83932e+01   2.90000e+01  -6.40116e-01   1.32344e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.30920e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=1.6519e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.53020e+02   4.42659e-01   1.26031e-03   3.88378e-02
-   2  sg_p1        1.54031e+01   3.53863e-01   1.68006e-03  -8.87814e-02
-   3  sg_p2        3.18681e+02   1.25359e+01   1.70808e-03   3.37307e-03
-   4  sg_p3        7.61417e+01   7.12298e+00   2.70731e-03  -4.47116e-02
-   5  sg_p4        9.04717e-01   1.16729e-02   2.71701e-03  -2.80475e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.960e-01  2.470e-02  3.794e-01  1.447e-01  7.850e-04 
-  2.470e-02  1.253e-01  1.069e+00 -1.360e-01  1.312e-03 
-  3.794e-01  1.069e+00  1.572e+02 -5.206e+01  8.352e-02 
-  1.447e-01 -1.360e-01 -5.206e+01  5.079e+01 -2.199e-02 
-  7.850e-04  1.312e-03  8.352e-02 -2.199e-02  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20982   1.000  0.158  0.068  0.046  0.152
-        2  0.35244   0.158  1.000  0.241 -0.054  0.317
-        3  0.72927   0.068  0.241  1.000 -0.582  0.570
-        4  0.59651   0.046 -0.054 -0.582  1.000 -0.264
-        5  0.60854   0.152  0.317  0.570 -0.264  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM HESSE     STATUS=OK             31 CALLS         213 TOTAL
-                     EDM=1.65128e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.53020e+02   4.42602e-01   2.52062e-04   1.51594e-01
-   2  sg_p1        1.54031e+01   3.53933e-01   3.36012e-04   1.66253e-01
-   3  sg_p2        3.18681e+02   1.26590e+01   6.83233e-05   6.44624e-02
-   4  sg_p3        7.61417e+01   7.19114e+00   1.08292e-04  -5.75018e-01
-   5  sg_p4        9.04717e-01   1.17079e-02   5.43402e-04   6.67300e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.959e-01  2.459e-02  3.764e-01  1.438e-01  7.830e-04 
-  2.459e-02  1.253e-01  1.084e+00 -1.475e-01  1.320e-03 
-  3.764e-01  1.084e+00  1.604e+02 -5.404e+01  8.512e-02 
-  1.438e-01 -1.475e-01 -5.404e+01  5.177e+01 -2.306e-02 
-  7.830e-04  1.320e-03  8.512e-02 -2.306e-02  1.372e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20923   1.000  0.157  0.067  0.045  0.151
-        2  0.35293   0.157  1.000  0.242 -0.058  0.318
-        3  0.73547   0.067  0.242  1.000 -0.593  0.574
-        4  0.60661   0.045 -0.058 -0.593  1.000 -0.274
-        5  0.61162   0.151  0.318  0.574 -0.274  1.000
-260
-253.02 +- 0.442602
-15.4031 +- 0.353933
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5529.06 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.09302e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.84754e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.60258e+01
-   4  sg_p3        1.19103e+02   2.90000e+01  -2.50167e-01   6.51588e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55737e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM MIGRAD    STATUS=CONVERGED     276 CALLS         277 TOTAL
-                     EDM=4.33865e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.23280e-01   6.16272e-04  -2.78767e-01
-   2  sg_p1        3.47719e+00   1.26808e-01   2.66781e-03  -6.03093e-03
-   3  sg_p2        2.67513e+02   7.88309e+00   7.67886e-04  -3.32533e-01
-   4  sg_p3        3.42369e+01   3.97181e+00   1.09311e-03  -2.13224e-01
-   5  sg_p4        6.40026e-01   4.56991e-02   3.70400e-03   4.78364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.286e-03 -3.667e-02  3.860e-02  7.477e-05 
-  2.286e-03  1.610e-02  4.707e-01 -1.623e-01  3.257e-03 
- -3.667e-02  4.707e-01  6.220e+01 -2.796e+01  3.355e-01 
-  3.860e-02 -1.623e-01 -2.796e+01  1.579e+01 -1.455e-01 
-  7.477e-05  3.257e-03  3.355e-01 -1.455e-01  2.118e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20586   1.000  0.146 -0.038  0.079  0.013
-        2  0.60362   0.146  1.000  0.470 -0.322  0.558
-        3  0.95992  -0.038  0.470  1.000 -0.892  0.924
-        4  0.90004   0.079 -0.322 -0.892  1.000 -0.796
-        5  0.93542   0.013  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM HESSE     STATUS=OK             31 CALLS         308 TOTAL
-                     EDM=4.34749e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.23300e-01   1.23254e-04   9.13107e-02
-   2  sg_p1        3.47719e+00   1.27818e-01   1.06712e-04  -2.64476e-01
-   3  sg_p2        2.67513e+02   8.27292e+00   1.53577e-04   5.44068e-01
-   4  sg_p3        3.42369e+01   4.16972e+00   2.18622e-04  -9.84235e-01
-   5  sg_p4        6.40026e-01   4.75240e-02   7.40799e-04  -4.55485e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.233e-03 -4.363e-02  4.203e-02  3.794e-05 
-  2.233e-03  1.636e-02  5.114e-01 -1.832e-01  3.471e-03 
- -4.363e-02  5.114e-01  6.851e+01 -3.117e+01  3.687e-01 
-  4.203e-02 -1.832e-01 -3.117e+01  1.740e+01 -1.624e-01 
-  3.794e-05  3.471e-03  3.687e-01 -1.624e-01  2.293e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20660   1.000  0.142 -0.043  0.082  0.006
-        2  0.61186   0.142  1.000  0.483 -0.343  0.567
-        3  0.96369  -0.043  0.483  1.000 -0.903  0.930
-        4  0.90977   0.082 -0.343 -0.903  1.000 -0.813
-        5  0.94051   0.006  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.1233
-3.47719 +- 0.127818
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5643.26 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.61456e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -4.66447e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -2.40363e+01
-   4  sg_p3        1.17448e+02   2.90000e+01  -2.61968e-01   1.99273e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.86435e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=7.77109e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61021e+02   1.29098e-01   6.49909e-04  -1.01661e-02
-   2  sg_p1        3.57410e+00   1.33955e-01   2.78633e-03   8.71570e-03
-   3  sg_p2        2.69189e+02   7.27138e+00   7.50620e-04  -6.29806e-03
-   4  sg_p3        3.37078e+01   3.73722e+00   1.08346e-03   1.26302e-02
-   5  sg_p4        6.28095e-01   4.44728e-02   3.81722e-03   4.51572e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.658e-03 -2.984e-02  3.729e-02  1.239e-04 
-  2.658e-03  1.797e-02  4.694e-01 -1.655e-01  3.402e-03 
- -2.984e-02  4.694e-01  5.292e+01 -2.409e+01  2.999e-01 
-  3.729e-02 -1.655e-01 -2.409e+01  1.398e+01 -1.324e-01 
-  1.239e-04  3.402e-03  2.999e-01 -1.324e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21380   1.000  0.154 -0.032  0.077  0.021
-        2  0.61009   0.154  1.000  0.481 -0.330  0.567
-        3  0.95628  -0.032  0.481  1.000 -0.886  0.921
-        4  0.89342   0.077 -0.330 -0.886  1.000 -0.790
-        5  0.93183   0.021  0.567  0.921 -0.790  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM HESSE     STATUS=OK             31 CALLS         361 TOTAL
-                     EDM=7.78626e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61021e+02   1.29118e-01   1.29982e-04   1.02301e-01
-   2  sg_p1        3.57410e+00   1.35116e-01   1.11453e-04  -2.14592e-01
-   3  sg_p2        2.69189e+02   7.65572e+00   3.00248e-05   5.55561e-01
-   4  sg_p3        3.37078e+01   3.93737e+00   4.33384e-05  -9.90860e-01
-   5  sg_p4        6.28095e-01   4.63527e-02   1.52689e-04  -5.09360e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.595e-03 -3.703e-02  4.087e-02  8.376e-05 
-  2.595e-03  1.829e-02  5.123e-01 -1.882e-01  3.639e-03 
- -3.703e-02  5.123e-01  5.866e+01 -2.709e+01  3.317e-01 
-  4.087e-02 -1.882e-01 -2.709e+01  1.552e+01 -1.489e-01 
-  8.376e-05  3.639e-03  3.317e-01 -1.489e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21449   1.000  0.149 -0.037  0.080  0.014
-        2  0.61885   0.149  1.000  0.495 -0.353  0.576
-        3  0.96065  -0.037  0.495  1.000 -0.898  0.927
-        4  0.90455   0.080 -0.353 -0.898  1.000 -0.810
-        5  0.93751   0.014  0.576  0.927 -0.810  1.000
-260
-261.021 +- 0.129118
-3.5741 +- 0.135116
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5267.68 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -5.95437e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00   3.20402e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.99949e+01
-   4  sg_p3        1.11751e+02   2.90000e+01  -3.02882e-01  -4.35631e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.33332e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=1.65041e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60758e+02   1.21975e-01   5.95143e-04   1.08233e-01
-   2  sg_p1        3.44214e+00   1.23415e-01   2.58042e-03  -3.07927e-02
-   3  sg_p2        2.66886e+02   8.40621e+00   7.85904e-04  -8.91521e-02
-   4  sg_p3        3.45456e+01   4.21772e+00   1.11909e-03  -3.70390e-02
-   5  sg_p4        6.53607e-01   4.66834e-02   3.55052e-03   4.88918e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.239e-03 -3.126e-02  3.680e-02  1.101e-04 
-  2.239e-03  1.525e-02  4.727e-01 -1.617e-01  3.144e-03 
- -3.126e-02  4.727e-01  7.074e+01 -3.174e+01  3.661e-01 
-  3.680e-02 -1.617e-01 -3.174e+01  1.781e+01 -1.585e-01 
-  1.101e-04  3.144e-03  3.661e-01 -1.585e-01  2.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20236   1.000  0.149 -0.030  0.072  0.019
-        2  0.58940   0.149  1.000  0.455 -0.310  0.542
-        3  0.96112  -0.030  0.455  1.000 -0.894  0.926
-        4  0.90222   0.072 -0.310 -0.894  1.000 -0.799
-        5  0.93659   0.019  0.542  0.926 -0.799  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.76189e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60758e+02   1.21991e-01   1.19029e-04   7.59045e-02
-   2  sg_p1        3.44214e+00   1.24473e-01   5.16084e-04  -2.82680e-01
-   3  sg_p2        2.66886e+02   8.89789e+00   1.57181e-04   5.39785e-01
-   4  sg_p3        3.45456e+01   4.46620e+00   4.47638e-05  -9.80400e-01
-   5  sg_p4        6.53607e-01   4.88967e-02   1.42021e-04  -3.95830e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.186e-03 -3.913e-02  4.064e-02  6.994e-05 
-  2.186e-03  1.552e-02  5.207e-01 -1.864e-01  3.386e-03 
- -3.913e-02  5.207e-01  7.927e+01 -3.606e+01  4.092e-01 
-  4.064e-02 -1.864e-01 -3.606e+01  1.997e+01 -1.803e-01 
-  6.994e-05  3.386e-03  4.092e-01 -1.803e-01  2.428e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20297   1.000  0.144 -0.036  0.075  0.012
-        2  0.59871   0.144  1.000  0.470 -0.335  0.552
-        3  0.96537  -0.036  0.470  1.000 -0.906  0.933
-        4  0.91331   0.075 -0.335 -0.906  1.000 -0.819
-        5  0.94245   0.012  0.552  0.933 -0.819  1.000
-260
-260.758 +- 0.121991
-3.44214 +- 0.124473
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5338.33 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.92141e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -3.46913e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.94669e+01
-   4  sg_p3        1.15260e+02   2.90000e+01  -2.77623e-01   2.60024e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.53009e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=1.81993e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60953e+02   1.29425e-01   6.35842e-04   1.60007e-03
-   2  sg_p1        3.60691e+00   1.34289e-01   2.70753e-03   6.00340e-02
-   3  sg_p2        2.69933e+02   7.51981e+00   7.59887e-04   1.45220e-02
-   4  sg_p3        3.30610e+01   3.84505e+00   1.10949e-03  -7.50525e-02
-   5  sg_p4        6.55961e-01   4.53996e-02   3.52891e-03  -1.95435e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.675e-02  2.478e-03 -2.803e-02  3.713e-02  1.271e-04 
-  2.478e-03  1.806e-02  5.001e-01 -1.785e-01  3.521e-03 
- -2.803e-02  5.001e-01  5.660e+01 -2.561e+01  3.175e-01 
-  3.713e-02 -1.785e-01 -2.561e+01  1.480e+01 -1.399e-01 
-  1.271e-04  3.521e-03  3.175e-01 -1.399e-01  2.088e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20432   1.000  0.142 -0.029  0.075  0.021
-        2  0.61219   0.142  1.000  0.495 -0.345  0.573
-        3  0.95634  -0.029  0.495  1.000 -0.885  0.924
-        4  0.89204   0.075 -0.345 -0.885  1.000 -0.796
-        5  0.93370   0.021  0.573  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=1.90259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60953e+02   1.29442e-01   1.27168e-04   9.54629e-02
-   2  sg_p1        3.60691e+00   1.35689e-01   5.41506e-04  -1.97834e-01
-   3  sg_p2        2.69933e+02   7.93967e+00   3.03955e-05   5.60690e-01
-   4  sg_p3        3.30610e+01   4.05992e+00   4.43797e-05  -9.99053e-01
-   5  sg_p4        6.55961e-01   4.74783e-02   7.05783e-04  -3.85646e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.676e-02  2.413e-03 -3.514e-02  4.064e-02  8.764e-05 
-  2.413e-03  1.844e-02  5.501e-01 -2.046e-01  3.797e-03 
- -3.514e-02  5.501e-01  6.310e+01 -2.896e+01  3.534e-01 
-  4.064e-02 -2.046e-01 -2.896e+01  1.650e+01 -1.584e-01 
-  8.764e-05  3.797e-03  3.534e-01 -1.584e-01  2.286e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20493   1.000  0.137 -0.034  0.077  0.014
-        2  0.62260   0.137  1.000  0.510 -0.371  0.585
-        3  0.96093  -0.034  0.510  1.000 -0.897  0.930
-        4  0.90377   0.077 -0.371 -0.897  1.000 -0.816
-        5  0.93964   0.014  0.585  0.930 -0.816  1.000
-260
-260.953 +- 0.129442
-3.60691 +- 0.135689
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5550.93 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.28869e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.53562e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.85127e+01
-   4  sg_p3        1.16923e+02   2.90000e+01  -2.65719e-01   3.07224e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51841e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM MIGRAD    STATUS=CONVERGED     274 CALLS         275 TOTAL
-                     EDM=7.69222e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60915e+02   1.19244e-01   5.95259e-04   2.60414e-02
-   2  sg_p1        3.41319e+00   1.20663e-01   2.58530e-03   3.23980e-02
-   3  sg_p2        2.68923e+02   7.42025e+00   7.74450e-04   1.02102e-01
-   4  sg_p3        3.38737e+01   3.84818e+00   1.11926e-03   3.14690e-01
-   5  sg_p4        6.51986e-01   4.29286e-02   3.53695e-03   3.46225e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.303e-03 -1.721e-02  2.984e-02  1.633e-04 
-  2.303e-03  1.458e-02  4.143e-01 -1.451e-01  2.850e-03 
- -1.721e-02  4.143e-01  5.511e+01 -2.526e+01  2.945e-01 
-  2.984e-02 -1.451e-01 -2.526e+01  1.482e+01 -1.311e-01 
-  1.633e-04  2.850e-03  2.945e-01 -1.311e-01  1.865e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20941   1.000  0.160 -0.019  0.065  0.032
-        2  0.59245   0.160  1.000  0.462 -0.312  0.547
-        3  0.95480  -0.019  0.462  1.000 -0.884  0.919
-        4  0.89128   0.065 -0.312 -0.884  1.000 -0.789
-        5  0.92953   0.032  0.547  0.919 -0.789  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM HESSE     STATUS=OK             31 CALLS         306 TOTAL
-                     EDM=7.77868e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60915e+02   1.19248e-01   1.19052e-04   9.16025e-02
-   2  sg_p1        3.41319e+00   1.21507e-01   5.17060e-04  -2.97787e-01
-   3  sg_p2        2.68923e+02   7.75724e+00   1.54890e-04   5.53729e-01
-   4  sg_p3        3.38737e+01   4.02350e+00   2.23853e-04  -9.88776e-01
-   5  sg_p4        6.51986e-01   4.45034e-02   7.07389e-04  -4.02868e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.266e-03 -2.167e-02  3.206e-02  1.398e-04 
-  2.266e-03  1.478e-02  4.471e-01 -1.625e-01  3.022e-03 
- -2.167e-02  4.471e-01  6.023e+01 -2.794e+01  3.214e-01 
-  3.206e-02 -1.625e-01 -2.794e+01  1.620e+01 -1.452e-01 
-  1.398e-04  3.022e-03  3.214e-01 -1.452e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20954   1.000  0.156 -0.023  0.067  0.026
-        2  0.60000   0.156  1.000  0.474 -0.332  0.555
-        3  0.95873  -0.023  0.474  1.000 -0.894  0.925
-        4  0.90107   0.067 -0.332 -0.894  1.000 -0.805
-        5  0.93466   0.026  0.555  0.925 -0.805  1.000
-260
-260.915 +- 0.119248
-3.41319 +- 0.121507
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5158.41 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.61967e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.61061e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.77731e+01
-   4  sg_p3        1.15981e+02   2.90000e+01  -2.72457e-01   3.15087e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.44973e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM MIGRAD    STATUS=CONVERGED     308 CALLS         309 TOTAL
-                     EDM=5.20485e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.27328e-01   6.14172e-04  -1.42304e-01
-   2  sg_p1        3.47672e+00   1.30824e-01   2.65500e-03  -1.69927e-02
-   3  sg_p2        2.67457e+02   8.15515e+00   7.65940e-04  -5.24312e-02
-   4  sg_p3        3.41797e+01   4.10175e+00   1.09416e-03  -2.88607e-03
-   5  sg_p4        6.41502e-01   4.72632e-02   3.67010e-03   1.46000e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.621e-02  2.418e-03 -4.005e-02  4.151e-02  7.448e-05 
-  2.418e-03  1.714e-02  5.016e-01 -1.724e-01  3.472e-03 
- -4.005e-02  5.016e-01  6.658e+01 -2.986e+01  3.591e-01 
-  4.151e-02 -1.724e-01 -2.986e+01  1.684e+01 -1.554e-01 
-  7.448e-05  3.472e-03  3.591e-01 -1.554e-01  2.267e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20516   1.000  0.145 -0.039  0.079  0.012
-        2  0.60288   0.145  1.000  0.470 -0.321  0.557
-        3  0.95995  -0.039  0.470  1.000 -0.892  0.924
-        4  0.89989   0.079 -0.321 -0.892  1.000 -0.795
-        5  0.93542   0.012  0.557  0.924 -0.795  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM HESSE     STATUS=OK             31 CALLS         340 TOTAL
-                     EDM=5.2061e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.27350e-01   1.22834e-04   9.13271e-02
-   2  sg_p1        3.47672e+00   1.31905e-01   5.30999e-04  -2.64719e-01
-   3  sg_p2        2.67457e+02   8.59468e+00   1.53188e-04   5.43682e-01
-   4  sg_p3        3.41797e+01   4.32549e+00   4.37665e-05  -9.84949e-01
-   5  sg_p4        6.41502e-01   4.93072e-02   1.46804e-04  -4.48919e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.622e-02  2.353e-03 -4.855e-02  4.568e-02  2.931e-05 
-  2.353e-03  1.743e-02  5.482e-01 -1.965e-01  3.716e-03 
- -4.855e-02  5.482e-01  7.395e+01 -3.362e+01  3.979e-01 
-  4.568e-02 -1.965e-01 -3.362e+01  1.873e+01 -1.751e-01 
-  2.931e-05  3.716e-03  3.979e-01 -1.751e-01  2.471e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20598   1.000  0.140 -0.044  0.083  0.005
-        2  0.61146   0.140  1.000  0.483 -0.344  0.566
-        3  0.96402  -0.044  0.483  1.000 -0.903  0.931
-        4  0.91049   0.083 -0.344 -0.903  1.000 -0.814
-        5  0.94091   0.005  0.566  0.931 -0.814  1.000
-260
-260.912 +- 0.12735
-3.47672 +- 0.131905
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5919.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.57817e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -2.03212e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.98859e+01
-   4  sg_p3        1.17412e+02   2.90000e+01  -2.62219e-01   4.12643e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.69751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=2.6578e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.19425e-01   6.16849e-04  -2.18136e-01
-   2  sg_p1        3.47734e+00   1.22978e-01   2.67008e-03  -4.00164e-03
-   3  sg_p2        2.67522e+02   7.63977e+00   7.68027e-04   8.93806e-02
-   4  sg_p3        3.43314e+01   3.85522e+00   1.09374e-03   1.59575e-01
-   5  sg_p4        6.38280e-01   4.42553e-02   3.71607e-03  -5.05369e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.426e-02  2.165e-03 -3.368e-02  3.602e-02  7.485e-05 
-  2.165e-03  1.514e-02  4.429e-01 -1.530e-01  3.060e-03 
- -3.368e-02  4.429e-01  5.842e+01 -2.630e+01  3.147e-01 
-  3.602e-02 -1.530e-01 -2.630e+01  1.487e+01 -1.367e-01 
-  7.485e-05  3.060e-03  3.147e-01 -1.367e-01  1.985e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20661   1.000  0.147 -0.037  0.078  0.014
-        2  0.60439   0.147  1.000  0.471 -0.322  0.558
-        3  0.95995  -0.037  0.471  1.000 -0.892  0.924
-        4  0.90013   0.078 -0.322 -0.892  1.000 -0.796
-        5  0.93549   0.014  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=2.80959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.19444e-01   1.23370e-04   9.13304e-02
-   2  sg_p1        3.47734e+00   1.23908e-01   1.06803e-04  -2.64402e-01
-   3  sg_p2        2.67522e+02   8.01092e+00   1.53605e-04   5.44131e-01
-   4  sg_p3        3.43314e+01   4.04488e+00   2.18748e-04  -9.83058e-01
-   5  sg_p4        6.38280e-01   4.59835e-02   1.48643e-04  -4.63274e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.427e-02  2.115e-03 -4.024e-02  3.926e-02  4.011e-05 
-  2.115e-03  1.537e-02  4.799e-01 -1.722e-01  3.254e-03 
- -4.024e-02  4.799e-01  6.424e+01 -2.927e+01  3.453e-01 
-  3.926e-02 -1.722e-01 -2.927e+01  1.637e+01 -1.524e-01 
-  4.011e-05  3.254e-03  3.453e-01 -1.524e-01  2.145e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20733   1.000  0.143 -0.042  0.081  0.007
-        2  0.61221   0.143  1.000  0.483 -0.343  0.567
-        3  0.96365  -0.042  0.483  1.000 -0.903  0.930
-        4  0.90974   0.081 -0.343 -0.903  1.000 -0.813
-        5  0.94046   0.007  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.119444
-3.47734 +- 0.123908
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 260.912 +- 0.1233 (stat) - 0.153523 + 0.10939 (syst); -0.165439/+0.125566 (total)
-   Uncertainty on sg_p1 = 3.47719 +- 0.127818 (stat) - 0.064005 + 0.129714 (syst); -0.0904489/+0.144603 (total)
-   Uncertainty on sg_p2 = 267.513 +- 8.27292 (stat) - 0.627396 + 2.41961 (syst); -4.18377/+4.79216 (total)
-   Uncertainty on sg_p3 = 34.2369 +- 4.16972 (stat) - 1.17594 + 0.308663 (syst); -2.39363/+2.10758 (total)
-   Uncertainty on sg_p4 = 0.640026 +- 0.047524 (stat) - 0.0119301 + 0.0159351 (syst); -0.0265887/+0.0286105 (total) 
-   === Baseline plot === </br>
-   norm = 191.924
-JEC     lnN   1.01807  -
-JER     lnN   1.02103  -
-btag    lnN   1.06823  -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out
deleted file mode 100644
index ea2ad28..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 2.5821e-12  -2.5821e-12/+0.0294593  (68% CL)
-nll S+B -> -0.000681945  nll B -> -0.00068202
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out
deleted file mode 100644
index d65082a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.298828:	q_mu = 0.00000	q_A  = 0.00000	CLsb = 0.50000	CLb  = 0.50000	CLs  = 1.00000
-
- -- Asymptotic -- 
-Observed Limit: r < 0.2988
-Expected  2.5%: r < 0.1340
-Expected 16.0%: r < 0.1582
-Expected 50.0%: r < 0.2061
-Expected 84.0%: r < 0.2972
-Expected 97.5%: r < 0.4349
-
-Done in 0.54 min (cpu), 0.54 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt
deleted file mode 100644
index 23958b1..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01516984881   -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/pdf.log
deleted file mode 100644
index 423e5dc..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.27724 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.38865e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.93907e+01   2.48425e+00   3.18529e-03  -3.25663e-04
-   2  Mean         1.00132e+00   1.76739e-03   2.62530e-06  -5.38456e-01
-   3  Sigma        1.51698e-02   1.24775e-03   3.39881e-05  -4.59685e-03
-1.00131825619 +/- 0.00176739498053
-0.015169848807 +/- 0.00124775214983
-PDF lnN 1.01516984881
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/signal270_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/signal270_sig.log
deleted file mode 100644
index 9030762..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_1_285_624/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
deleted file mode 100644
index 76c1e2e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:01, CP time 1.190
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 7.06224e-08  -7.06224e-08/+2.55691  (68% CL)
-nll S+B -> -0.117083  nll B -> -0.117083
-Done in 0.03 min (cpu), 0.03 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
deleted file mode 100644
index 387efc9..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.908523:	q_mu = 3.80913	q_A  = 3.88822	CLsb = 0.02549	CLb  = 0.50804	CLs  = 0.05017
-
- -- Asymptotic -- 
-Observed Limit: r < 0.9085
-Expected  2.5%: r < 0.4635
-Expected 16.0%: r < 0.6332
-Expected 50.0%: r < 0.9023
-Expected 84.0%: r < 1.3016
-Expected 97.5%: r < 1.8143
-
-Done in 0.23 min (cpu), 0.23 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt
deleted file mode 100644
index 32490f8..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01516984881   -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/pdf.log
deleted file mode 100644
index 423e5dc..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.27724 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.38865e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.93907e+01   2.48425e+00   3.18529e-03  -3.25663e-04
-   2  Mean         1.00132e+00   1.76739e-03   2.62530e-06  -5.38456e-01
-   3  Sigma        1.51698e-02   1.24775e-03   3.39881e-05  -4.59685e-03
-1.00131825619 +/- 0.00176739498053
-0.015169848807 +/- 0.00124775214983
-PDF lnN 1.01516984881
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/signal270_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/signal270_sig.log
deleted file mode 100644
index b05287e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_crystal_252_330/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
deleted file mode 100644
index 4ef753e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 4.30342e-09  -4.30342e-09/+0.413255  (68% CL)
-nll S+B -> -0.0106084  nll B -> -0.0106084
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
deleted file mode 100644
index b990cf9..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.872494:	q_mu = 3.85077	q_A  = 3.84572	CLsb = 0.02486	CLb  = 0.49949	CLs  = 0.04977
-
- -- Asymptotic -- 
-Observed Limit: r < 0.8725
-Expected  2.5%: r < 0.4441
-Expected 16.0%: r < 0.6092
-Expected 50.0%: r < 0.8711
-Expected 84.0%: r < 1.2565
-Expected 97.5%: r < 1.7514
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt
deleted file mode 100644
index 9d1fc9f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01516984881   -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/pdf.log
deleted file mode 100644
index 423e5dc..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.27724 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.38865e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.93907e+01   2.48425e+00   3.18529e-03  -3.25663e-04
-   2  Mean         1.00132e+00   1.76739e-03   2.62530e-06  -5.38456e-01
-   3  Sigma        1.51698e-02   1.24775e-03   3.39881e-05  -4.59685e-03
-1.00131825619 +/- 0.00176739498053
-0.015169848807 +/- 0.00124775214983
-PDF lnN 1.01516984881
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/signal270_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/signal270_sig.log
deleted file mode 100644
index 373c8cc..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_gaus_exp_252_330/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out
deleted file mode 100644
index 080a60d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 5.63882e-13  -5.63882e-13/+0.0297135  (68% CL)
-nll S+B -> -0.00663118  nll B -> -0.00662977
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out
deleted file mode 100644
index 8e878df..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.111803:	q_mu = 3.84823	q_A  = 3.83516	CLsb = 0.02490	CLb  = 0.49867	CLs  = 0.04993
-
- -- Asymptotic -- 
-Observed Limit: r < 0.1118
-Expected  2.5%: r < 0.0336
-Expected 16.0%: r < 0.0596
-Expected 50.0%: r < 0.1118
-Expected 84.0%: r < 0.2108
-Expected 97.5%: r < 0.3390
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/datacard_270_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/datacard_270_novo_285_624.txt
deleted file mode 100644
index c382a01..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/datacard_270_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01516984881   -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/pdf.log
deleted file mode 100644
index 423e5dc..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.27724 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.38865e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.93907e+01   2.48425e+00   3.18529e-03  -3.25663e-04
-   2  Mean         1.00132e+00   1.76739e-03   2.62530e-06  -5.38456e-01
-   3  Sigma        1.51698e-02   1.24775e-03   3.39881e-05  -4.59685e-03
-1.00131825619 +/- 0.00176739498053
-0.015169848807 +/- 0.00124775214983
-PDF lnN 1.01516984881
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/signal270_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/signal270_sig.log
deleted file mode 100644
index 8c88fec..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_270_novo_285_624/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out
deleted file mode 100644
index 6e587e1..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,341 +0,0 @@
-Running Minos for POI 
-[#0] WARNING:Integration -- RooIntegrator1D::integral: integral of shapeBkg_background_HbbHbb over range (285,624) did not converge after 20 steps
-   [1] h = 1 , s = 0
-   [2] h = 0.25 , s = 1.45051e-104
-   [3] h = 0.0625 , s = 2.26749e-20
-   [4] h = 0.015625 , s = 0.0210787
-   [5] h = 0.00390625 , s = 14.5628
-   [6] h = 0.000976562 , s = 7.89997
-   [7] h = 0.000244141 , s = 5.40231
-   [8] h = 6.10352e-05 , s = 6.69066
-   [9] h = 1.52588e-05 , s = 7.34206
-   [10] h = 3.8147e-06 , s = 7.66948
-   [11] h = 9.53674e-07 , s = 7.83362
-   [12] h = 2.38419e-07 , s = 7.91579
-   [13] h = 5.96046e-08 , s = 7.9569
-   [14] h = 1.49012e-08 , s = 7.97747
-   [15] h = 3.72529e-09 , s = 7.96719
-   [16] h = 9.31323e-10 , s = 7.97233
-   [17] h = 2.32831e-10 , s = 7.9749
-   [18] h = 5.82077e-11 , s = 7.97361
-   [19] h = 1.45519e-11 , s = 7.97425
-   [20] h = 3.63798e-12 , s = 7.97393
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (28.4835) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.261073, JER=-1.08676, PDF=-0.827445, bTag=-3.59831, lumi_13TeV=-1.39686, par_crystal_1_0=-0.111878, par_crystal_1_1=5.10717, par_crystal_1_2=300.133, par_crystal_1_3=-6.98456, r=1.97635, sg_p0=300.807, sg_p1=6.67531, sg_p2=286.354, sg_p3=37.0067, sg_p4=0.646422, trigger=-5.18514
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=295.594, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=290.297, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=300.891, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=287.648, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=292.945, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=298.242, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.324, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.973, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=291.621, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=294.27, p0=par_crystal_1_0=-0.111878 +/- 0.146293, p1=par_crystal_1_1=5.10717 +/- 0.368331, p2=par_crystal_1_2=300.133 +/- 29.0834, p3=par_crystal_1_3=-6.98456 +/- 11.8996
-    ... (remaining 24609 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.220025, JER=-0.88602, PDF=-0.669587, bTag=-2.91162, lumi_13TeV=-1.12981, par_crystal_1_0=-0.07279, par_crystal_1_1=4.59022, par_crystal_1_2=289.688, par_crystal_1_3=-6.26845, r=1.97635, sg_p0=300.807, sg_p1=6.67518, sg_p2=286.358, sg_p3=37.0026, sg_p4=0.646421, trigger=-4.19573
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=287.648, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.324, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.973, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285.662, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.986, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.311, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=289.635, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285.331, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285.993, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.655, p0=par_crystal_1_0=-0.07279 +/- 0.146293, p1=par_crystal_1_1=4.59022 +/- 0.368331, p2=par_crystal_1_2=289.688 +/- 29.0834, p3=par_crystal_1_3=-6.26845 +/- 11.8996
-    ... (remaining 7948 messages suppressed)
-
-[#0] WARNING:Integration -- RooIntegrator1D::integral: integral of shapeBkg_background_HbbHbb over range (285,624) did not converge after 20 steps
-   [1] h = 1 , s = 9.65994e-242
-   [2] h = 0.25 , s = 2.45908e-57
-   [3] h = 0.0625 , s = 1.51521e-12
-   [4] h = 0.015625 , s = 0.0443369
-   [5] h = 0.00390625 , s = 6.11593
-   [6] h = 0.000976562 , s = 12.6562
-   [7] h = 0.000244141 , s = 9.99603
-   [8] h = 6.10352e-05 , s = 11.3229
-   [9] h = 1.52588e-05 , s = 11.9856
-   [10] h = 3.8147e-06 , s = 11.6556
-   [11] h = 9.53674e-07 , s = 11.4909
-   [12] h = 2.38419e-07 , s = 11.4086
-   [13] h = 5.96046e-08 , s = 11.3675
-   [14] h = 1.49012e-08 , s = 11.3469
-   [15] h = 3.72529e-09 , s = 11.3366
-   [16] h = 9.31323e-10 , s = 11.3418
-   [17] h = 2.32831e-10 , s = 11.3392
-   [18] h = 5.82077e-11 , s = 11.3379
-   [19] h = 1.45519e-11 , s = 11.3373
-   [20] h = 3.63798e-12 , s = 11.3376
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.247106, JER=-0.993446, PDF=-0.750488, bTag=-3.26346, lumi_13TeV=-1.2663, par_crystal_1_0=-0.115929, par_crystal_1_1=4.56855, par_crystal_1_2=290.455, par_crystal_1_3=-9.96577, r=1.97635, sg_p0=300.807, sg_p1=6.67514, sg_p2=286.359, sg_p3=37.0012, sg_p4=0.646421, trigger=-4.70272
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=290.297, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=287.648, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.324, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.973, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285.662, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.986, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.311, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=289.635, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=290.959, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285.331, p0=par_crystal_1_0=-0.115929 +/- 0.146293, p1=par_crystal_1_1=4.56855 +/- 0.368331, p2=par_crystal_1_2=290.455 +/- 29.0834, p3=par_crystal_1_3=-9.96577 +/- 11.8996
-    ... (remaining 10215 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.179402, JER=-0.72488, PDF=-0.548235, bTag=-2.38387, lumi_13TeV=-0.925078, par_crystal_1_0=-0.00635216, par_crystal_1_1=4.6227, par_crystal_1_2=288.537, par_crystal_1_3=-0.60006, r=1.97635, sg_p0=300.807, sg_p1=6.67525, sg_p2=286.356, sg_p3=37.0047, sg_p4=0.646422, trigger=-3.43525
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.00635216 +/- 0.146293, p1=par_crystal_1_1=4.6227 +/- 0.368331, p2=par_crystal_1_2=288.537 +/- 29.0834, p3=par_crystal_1_3=-0.60006 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.00635216 +/- 0.146293, p1=par_crystal_1_1=4.6227 +/- 0.368331, p2=par_crystal_1_2=288.537 +/- 29.0834, p3=par_crystal_1_3=-0.60006 +/- 11.8996
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.178048, JER=-0.719509, PDF=-0.54419, bTag=-2.36627, lumi_13TeV=-0.918253, par_crystal_1_0=-0.00410623, par_crystal_1_1=4.62378, par_crystal_1_2=288.498, par_crystal_1_3=-0.408916, r=1.97635, sg_p0=300.807, sg_p1=6.67525, sg_p2=286.356, sg_p3=37.0048, sg_p4=0.646422, trigger=-3.4099
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-0.00410623 +/- 0.146293, p1=par_crystal_1_1=4.62378 +/- 0.368331, p2=par_crystal_1_2=288.498 +/- 29.0834, p3=par_crystal_1_3=-0.408916 +/- 11.8996
-    ... (remaining 105 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.0677144, JER=-0.29668, PDF=-0.228639, bTag=-0.995218, lumi_13TeV=-0.386454, par_crystal_1_0=-0.00990033, par_crystal_1_1=4.0492, par_crystal_1_2=286.92, par_crystal_1_3=-1.27553, r=1.97635, sg_p0=300.807, sg_p1=6.67552, sg_p2=286.347, sg_p3=37.0139, sg_p4=0.646423, trigger=-1.43377
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.00990033 +/- 0.146293, p1=par_crystal_1_1=4.0492 +/- 0.368331, p2=par_crystal_1_2=286.92 +/- 29.0834, p3=par_crystal_1_3=-1.27553 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.00990033 +/- 0.146293, p1=par_crystal_1_1=4.0492 +/- 0.368331, p2=par_crystal_1_2=286.92 +/- 29.0834, p3=par_crystal_1_3=-1.27553 +/- 11.8996
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.0507773, JER=-0.232468, PDF=-0.180858, bTag=-0.787674, lumi_13TeV=-0.305957, par_crystal_1_0=-0.0195894, par_crystal_1_1=3.93253, par_crystal_1_2=286.753, par_crystal_1_3=-2.17387, r=1.97635, sg_p0=300.807, sg_p1=6.67556, sg_p2=286.345, sg_p3=37.0155, sg_p4=0.646423, trigger=-1.13461
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.0195894 +/- 0.146293, p1=par_crystal_1_1=3.93253 +/- 0.368331, p2=par_crystal_1_2=286.753 +/- 29.0834, p3=par_crystal_1_3=-2.17387 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.0195894 +/- 0.146293, p1=par_crystal_1_1=3.93253 +/- 0.368331, p2=par_crystal_1_2=286.753 +/- 29.0834, p3=par_crystal_1_3=-2.17387 +/- 11.8996
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=0.296585, JER=1.15782, PDF=0.86468, bTag=3.76605, lumi_13TeV=1.46055, par_crystal_1_0=-0.0029241, par_crystal_1_1=4.28701, par_crystal_1_2=286.1, par_crystal_1_3=-0.231374, r=1.97635, sg_p0=300.806, sg_p1=6.67624, sg_p2=286.322, sg_p3=37.025, sg_p4=0.64643, trigger=5.42387
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-0.0029241 +/- 0.146293, p1=par_crystal_1_1=4.28701 +/- 0.368331, p2=par_crystal_1_2=286.1 +/- 29.0834, p3=par_crystal_1_3=-0.231374 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=0.0929689, JER=0.340797, PDF=0.249189, bTag=1.08638, lumi_13TeV=0.421034, par_crystal_1_0=-0.000269978, par_crystal_1_1=3.09515, par_crystal_1_2=286.475, par_crystal_1_3=0.0158696, r=1.97635, sg_p0=300.815, sg_p1=6.66562, sg_p2=286.688, sg_p3=36.9525, sg_p4=0.646423, trigger=1.56435
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=624, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=454.5, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=369.75, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=539.25, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=327.375, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=412.125, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=496.875, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=581.625, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=306.188, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=348.562, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=390.938, p0=par_crystal_1_0=-0.000269978 +/- 0.146293, p1=par_crystal_1_1=3.09515 +/- 0.368331, p2=par_crystal_1_2=286.475 +/- 29.0834, p3=par_crystal_1_3=0.0158696 +/- 11.8996
-    ... (remaining 232 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=0.176497, JER=0.710976, PDF=0.535493, bTag=2.33705, lumi_13TeV=0.906113, par_crystal_1_0=-0.0035443, par_crystal_1_1=3.59386, par_crystal_1_2=286.432, par_crystal_1_3=-0.158599, r=1.97635, sg_p0=300.818, sg_p1=6.6623, sg_p2=286.803, sg_p3=36.9387, sg_p4=0.64643, trigger=3.36504
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-0.0035443 +/- 0.146293, p1=par_crystal_1_1=3.59386 +/- 0.368331, p2=par_crystal_1_2=286.432 +/- 29.0834, p3=par_crystal_1_3=-0.158599 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.275664, JER=-0.866826, PDF=-0.605208, bTag=-2.59762, lumi_13TeV=-1.0092, par_crystal_1_0=-0.000188442, par_crystal_1_1=2.60491, par_crystal_1_2=286.498, par_crystal_1_3=-0.011506, r=1.97635, sg_p0=300.815, sg_p1=6.67619, sg_p2=286.346, sg_p3=36.989, sg_p4=0.646461, trigger=-3.75202
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-0.000188442 +/- 0.146293, p1=par_crystal_1_1=2.60491 +/- 0.368331, p2=par_crystal_1_2=286.498 +/- 29.0834, p3=par_crystal_1_3=-0.011506 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.240217, JER=-0.810796, PDF=-0.580825, bTag=-2.50218, lumi_13TeV=-0.971891, par_crystal_1_0=-1.25414e-05, par_crystal_1_1=2.57918, par_crystal_1_2=286.5, par_crystal_1_3=-0.00125101, r=1.97635, sg_p0=300.812, sg_p1=6.67737, sg_p2=286.299, sg_p3=36.9941, sg_p4=0.646448, trigger=-3.61182
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-1.25414e-05 +/- 0.146293, p1=par_crystal_1_1=2.57918 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00125101 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.23612, JER=-0.773476, PDF=-0.5484, bTag=-2.35823, lumi_13TeV=-0.916135, par_crystal_1_0=-5.09744e-05, par_crystal_1_1=2.56603, par_crystal_1_2=286.5, par_crystal_1_3=-0.00384418, r=1.97635, sg_p0=300.813, sg_p1=6.67782, sg_p2=286.286, sg_p3=36.9938, sg_p4=0.646451, trigger=-3.40516
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-5.09744e-05 +/- 0.146293, p1=par_crystal_1_1=2.56603 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00384418 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.240527, JER=-0.886408, PDF=-0.653064, bTag=-2.82682, lumi_13TeV=-1.0975, par_crystal_1_0=-3.63031e-06, par_crystal_1_1=2.62353, par_crystal_1_2=286.5, par_crystal_1_3=-0.00037665, r=1.97635, sg_p0=300.81, sg_p1=6.67684, sg_p2=286.309, sg_p3=36.9973, sg_p4=0.646435, trigger=-4.0769
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-3.63031e-06 +/- 0.146293, p1=par_crystal_1_1=2.62353 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00037665 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.233129, JER=-0.939774, PDF=-0.710206, bTag=-3.08751, lumi_13TeV=-1.19821, par_crystal_1_0=-1.39133e-05, par_crystal_1_1=2.66723, par_crystal_1_2=286.5, par_crystal_1_3=-0.000871728, r=1.97635, sg_p0=300.807, sg_p1=6.67736, sg_p2=286.277, sg_p3=37.0038, sg_p4=0.64642, trigger=-4.44938
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-1.39133e-05 +/- 0.146293, p1=par_crystal_1_1=2.66723 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.000871728 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.200629, JER=-1.01449, PDF=-0.808304, bTag=-3.54401, lumi_13TeV=-1.37425, par_crystal_1_0=-0.000192227, par_crystal_1_1=2.78765, par_crystal_1_2=286.499, par_crystal_1_3=-0.0120086, r=1.97635, sg_p0=300.798, sg_p1=6.67942, sg_p2=286.169, sg_p3=37.0213, sg_p4=0.646383, trigger=-5.09937
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-0.000192227 +/- 0.146293, p1=par_crystal_1_1=2.78765 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.0120086 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.221107, JER=-0.967413, PDF=-0.746494, bTag=-3.25638, lumi_13TeV=-1.26333, par_crystal_1_0=-7.98748e-05, par_crystal_1_1=2.70922, par_crystal_1_2=286.499, par_crystal_1_3=-0.00499143, r=1.97635, sg_p0=300.803, sg_p1=6.67812, sg_p2=286.237, sg_p3=37.0103, sg_p4=0.646406, trigger=-4.68982
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-7.98748e-05 +/- 0.146293, p1=par_crystal_1_1=2.70922 +/- 0.368331, p2=par_crystal_1_2=286.499 +/- 29.0834, p3=par_crystal_1_3=-0.00499143 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (24271.5) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.231345, JER=-0.943873, PDF=-0.715588, bTag=-3.11256, lumi_13TeV=-1.20787, par_crystal_1_0=-2.36973e-05, par_crystal_1_1=2.67326, par_crystal_1_2=286.5, par_crystal_1_3=-0.00148279, r=1.97635, sg_p0=300.806, sg_p1=6.67747, sg_p2=286.271, sg_p3=37.0048, sg_p4=0.646418, trigger=-4.48504
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=286.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=289.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=292.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=295.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=298.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=301.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=304.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=307.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=310.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=313.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-     p.d.f normalization integral is zero or negative @ x=x=316.5, p0=par_crystal_1_0=-2.36973e-05 +/- 0.146293, p1=par_crystal_1_1=2.67326 +/- 0.368331, p2=par_crystal_1_2=286.5 +/- 29.0834, p3=par_crystal_1_3=-0.00148279 +/- 11.8996
-    ... (remaining 104 messages suppressed)
-
-Real time 0:00:04, CP time 4.980
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0169806  -0.0169806/+1.95937  (68% CL)
-nll S+B -> -0.00226229  nll B -> -0.000682033
-Done in 0.09 min (cpu), 0.10 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out
deleted file mode 100644
index 8fa686a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.660918:	q_mu = 3.49039	q_A  = 4.72021	CLsb = 0.03086	CLb  = 0.61957	CLs  = 0.04981
-
- -- Asymptotic -- 
-Observed Limit: r < 0.6609
-Expected  2.5%: r < 0.6667
-Expected 16.0%: r < 0.7345
-Expected 50.0%: r < 0.8555
-Expected 84.0%: r < 1.0635
-Expected 97.5%: r < 1.3458
-
-Done in 1.43 min (cpu), 1.44 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt
deleted file mode 100644
index 36960b1..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01533148611   -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/pdf.log
deleted file mode 100644
index e77095c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=10.366 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.25903e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.89692e+01   2.45680e+00   3.29830e-03  -7.24825e-06
-   2  Mean         1.00074e+00   1.81805e-03   2.81850e-06   3.61959e-03
-   3  Sigma        1.53315e-02   1.29036e-03   3.63480e-05   1.24404e-03
-1.00074474072 +/- 0.00181805488368
-0.0153314861114 +/- 0.00129036445321
-PDF lnN 1.01533148611
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/signal300_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_1_285_624/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
deleted file mode 100644
index 3f9c218..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,26 +0,0 @@
-Running Minos for POI 
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (58.2165) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.155179, JER=-0.629866, PDF=-0.476852, bTag=-2.07085, lumi_13TeV=-0.804046, par_crystal_0=0.205968, par_crystal_1=-0.0115978, par_crystal_1_0=0.237913, par_crystal_1_1=4.44737, par_crystal_1_2=279.979, par_crystal_1_3=18.7584, par_crystal_2=266.918, par_crystal_3=12.8831, r=3, sg_p0=300.807, sg_p1=6.67539, sg_p2=286.351, sg_p3=37.0074, sg_p4=0.646423, trigger=-2.98367
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_0 p1=par_crystal_1 p2=par_crystal_2 p3=par_crystal_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=330, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=291, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=271.5, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=310.5, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=281.25, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=300.75, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=320.25, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=276.375, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.125, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=295.875, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=305.625, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=315.375, p0=par_crystal_0=0.205968 +/- 0.0141612, p1=par_crystal_1=-0.0115978 +/- 3.88398, p2=par_crystal_2=266.918 +/- 0.601813, p3=par_crystal_3=12.8831 +/- 0.861593
-    ... (remaining 50783 messages suppressed)
-
-Real time 0:00:01, CP time 1.350
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00248525  -0.00248525/+2.99804  (68% CL)
-nll S+B -> -0.117122  nll B -> -0.117083
-Done in 0.03 min (cpu), 0.03 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
deleted file mode 100644
index 43ae394..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.434109:	q_mu = 4.70546	q_A  = 2.21414	CLsb = 0.01003	CLb  = 0.20126	CLs  = 0.04985
-
- -- Asymptotic -- 
-Observed Limit: r < 0.4341
-Expected  2.5%: r < 0.3070
-Expected 16.0%: r < 0.4126
-Expected 50.0%: r < 0.5801
-Expected 84.0%: r < 0.8460
-Expected 97.5%: r < 1.1866
-
-Done in 0.34 min (cpu), 0.34 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt
deleted file mode 100644
index 6ba9ae7..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01533148611   -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/pdf.log
deleted file mode 100644
index e77095c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=10.366 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.25903e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.89692e+01   2.45680e+00   3.29830e-03  -7.24825e-06
-   2  Mean         1.00074e+00   1.81805e-03   2.81850e-06   3.61959e-03
-   3  Sigma        1.53315e-02   1.29036e-03   3.63480e-05   1.24404e-03
-1.00074474072 +/- 0.00181805488368
-0.0153314861114 +/- 0.00129036445321
-PDF lnN 1.01533148611
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/signal300_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_crystal_252_330/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
deleted file mode 100644
index f983a05..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 3.06264e-06  -3.06264e-06/+0.274397  (68% CL)
-nll S+B -> -0.0106082  nll B -> -0.0106084
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
deleted file mode 100644
index 3193e1e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.558614:	q_mu = 3.84888	q_A  = 3.84665	CLsb = 0.02489	CLb  = 0.49977	CLs  = 0.04980
-
- -- Asymptotic -- 
-Observed Limit: r < 0.5586
-Expected  2.5%: r < 0.2946
-Expected 16.0%: r < 0.3960
-Expected 50.0%: r < 0.5566
-Expected 84.0%: r < 0.7985
-Expected 97.5%: r < 1.1094
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt
deleted file mode 100644
index 54d56e8..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01533148611   -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/pdf.log
deleted file mode 100644
index e77095c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=10.366 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.25903e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.89692e+01   2.45680e+00   3.29830e-03  -7.24825e-06
-   2  Mean         1.00074e+00   1.81805e-03   2.81850e-06   3.61959e-03
-   3  Sigma        1.53315e-02   1.29036e-03   3.63480e-05   1.24404e-03
-1.00074474072 +/- 0.00181805488368
-0.0153314861114 +/- 0.00129036445321
-PDF lnN 1.01533148611
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/signal300_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_gaus_exp_252_330/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out
deleted file mode 100644
index 637eb8f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0142507  -0.0142507/+0.295517  (68% CL)
-nll S+B -> -0.00780944  nll B -> -0.00663064
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out
deleted file mode 100644
index d7b9071..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.612099:	q_mu = 3.85280	q_A  = 3.83428	CLsb = 0.02483	CLb  = 0.49811	CLs  = 0.04985
-
- -- Asymptotic -- 
-Observed Limit: r < 0.6121
-Expected  2.5%: r < 0.3307
-Expected 16.0%: r < 0.4392
-Expected 50.0%: r < 0.6113
-Expected 84.0%: r < 0.8672
-Expected 97.5%: r < 1.1965
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt
deleted file mode 100644
index 7ace650..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01533148611   -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/pdf.log
deleted file mode 100644
index e77095c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=10.366 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.25903e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.89692e+01   2.45680e+00   3.29830e-03  -7.24825e-06
-   2  Mean         1.00074e+00   1.81805e-03   2.81850e-06   3.61959e-03
-   3  Sigma        1.53315e-02   1.29036e-03   3.63480e-05   1.24404e-03
-1.00074474072 +/- 0.00181805488368
-0.0153314861114 +/- 0.00129036445321
-PDF lnN 1.01533148611
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/signal300_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_300_novo_285_624/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out
deleted file mode 100644
index b6e27ff..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,5 +0,0 @@
-
- --- MaxLikelihoodFit ---
-Fit failed.
-nll S+B -> -289.734  nll B -> -0.000682029
-Done in 1.67 min (cpu), 1.67 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out
deleted file mode 100644
index 4c3820c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.235952:	q_mu = 3.84300	q_A  = 3.84620	CLsb = 0.02498	CLb  = 0.50033	CLs  = 0.04992
-
- -- Asymptotic -- 
-Observed Limit: r < 0.2360
-Expected  2.5%: r < 0.3494
-Expected 16.0%: r < 0.3713
-Expected 50.0%: r < 0.4160
-Expected 84.0%: r < 0.5006
-Expected 97.5%: r < 0.6230
-
-Done in 0.16 min (cpu), 0.16 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt
deleted file mode 100644
index 9ce90d6..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0164211668   -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/pdf.log
deleted file mode 100644
index 9259882..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.92721 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.1511e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.76281e+01   2.26075e+00   2.99629e-03  -1.83938e-04
-   2  Mean         1.00111e+00   1.89451e-03   2.87033e-06  -5.72789e-01
-   3  Sigma        1.64212e-02   1.27561e-03   3.30460e-05  -5.02787e-03
-1.00110542289 +/- 0.00189450571012
-0.0164211667957 +/- 0.00127560788686
-PDF lnN 1.0164211668
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/signal350_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_1_285_624/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out
deleted file mode 100644
index 4a37c0f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 4.15943e-09  -4.15943e-09/+0.0354705  (68% CL)
-nll S+B -> -0.117083  nll B -> -0.117083
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out
deleted file mode 100644
index 5a38b2b..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.105431:	q_mu = 3.86394	q_A  = 3.80588	CLsb = 0.02466	CLb  = 0.49406	CLs  = 0.04992
-
- -- Asymptotic -- 
-Observed Limit: r < 0.1054
-Expected  2.5%: r < 0.0401
-Expected 16.0%: r < 0.0646
-Expected 50.0%: r < 0.1060
-Expected 84.0%: r < 0.1710
-Expected 97.5%: r < 0.2572
-
-Done in 0.17 min (cpu), 0.17 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt
deleted file mode 100644
index c4e6ad8..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt
+++ /dev/null
@@ -1,35 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0164211668   -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/pdf.log
deleted file mode 100644
index 9259882..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.92721 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.1511e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.76281e+01   2.26075e+00   2.99629e-03  -1.83938e-04
-   2  Mean         1.00111e+00   1.89451e-03   2.87033e-06  -5.72789e-01
-   3  Sigma        1.64212e-02   1.27561e-03   3.30460e-05  -5.02787e-03
-1.00110542289 +/- 0.00189450571012
-0.0164211667957 +/- 0.00127560788686
-PDF lnN 1.0164211668
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/signal350_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_crystal_252_330/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out
deleted file mode 100644
index 461f232..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 2.40154e-09  -2.40154e-09/+0.036026  (68% CL)
-nll S+B -> -0.0106084  nll B -> -0.0106084
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out
deleted file mode 100644
index 7555657..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.104691:	q_mu = 3.84348	q_A  = 3.84636	CLsb = 0.02497	CLb  = 0.50029	CLs  = 0.04991
-
- -- Asymptotic -- 
-Observed Limit: r < 0.1047
-Expected  2.5%: r < 0.0406
-Expected 16.0%: r < 0.0640
-Expected 50.0%: r < 0.1050
-Expected 84.0%: r < 0.1677
-Expected 97.5%: r < 0.2518
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt
deleted file mode 100644
index 34f3d13..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 13889.7
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0164211668   -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/pdf.log
deleted file mode 100644
index 9259882..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.92721 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.1511e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.76281e+01   2.26075e+00   2.99629e-03  -1.83938e-04
-   2  Mean         1.00111e+00   1.89451e-03   2.87033e-06  -5.72789e-01
-   3  Sigma        1.64212e-02   1.27561e-03   3.30460e-05  -5.02787e-03
-1.00110542289 +/- 0.00189450571012
-0.0164211667957 +/- 0.00127560788686
-PDF lnN 1.0164211668
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/signal350_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_gaus_exp_252_330/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out
deleted file mode 100644
index 70df986..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 4.84421e-07  -4.84421e-07/+0.12541  (68% CL)
-nll S+B -> -0.00663116  nll B -> -0.00663106
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out
deleted file mode 100644
index 9e64300..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.255700:	q_mu = 3.84132	q_A  = 3.82631	CLsb = 0.02500	CLb  = 0.49847	CLs  = 0.05016
-
- -- Asymptotic -- 
-Observed Limit: r < 0.2557
-Expected  2.5%: r < 0.1349
-Expected 16.0%: r < 0.1811
-Expected 50.0%: r < 0.2568
-Expected 84.0%: r < 0.3664
-Expected 97.5%: r < 0.5073
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt
deleted file mode 100644
index a5c3f61..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0164211668   -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/pdf.log
deleted file mode 100644
index 9259882..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.92721 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=6.1511e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.76281e+01   2.26075e+00   2.99629e-03  -1.83938e-04
-   2  Mean         1.00111e+00   1.89451e-03   2.87033e-06  -5.72789e-01
-   3  Sigma        1.64212e-02   1.27561e-03   3.30460e-05  -5.02787e-03
-1.00110542289 +/- 0.00189450571012
-0.0164211667957 +/- 0.00127560788686
-PDF lnN 1.0164211668
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/signal350_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_350_novo_285_624/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out
deleted file mode 100644
index f172930..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.510
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00543531  -0.00543531/+0.0665938  (68% CL)
-nll S+B -> -3.21491  nll B -> -0.000682022
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out
deleted file mode 100644
index 15cb3b1..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.137472:	q_mu = 3.84712	q_A  = 3.85034	CLsb = 0.02492	CLb  = 0.50033	CLs  = 0.04980
-
- -- Asymptotic -- 
-Observed Limit: r < 0.1375
-Expected  2.5%: r < 0.0769
-Expected 16.0%: r < 0.1013
-Expected 50.0%: r < 0.1406
-Expected 84.0%: r < 0.1995
-Expected 97.5%: r < 0.2734
-
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt
deleted file mode 100644
index e06f0b4..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  790.651 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06523    -
-JER       lnN     1.01925   - 
-JEC       lnN     1.00381   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0199774927   -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/pdf.log
deleted file mode 100644
index 6c83983..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.89323 FROM MIGRAD    STATUS=CONVERGED      63 CALLS          64 TOTAL
-                     EDM=7.57236e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.56976e+01   1.98145e+00   2.66437e-03   2.44799e-04
-   2  Mean         9.97211e-01   2.43742e-03   3.88392e-06   6.59106e-02
-   3  Sigma        1.99775e-02   1.81293e-03   4.40458e-05  -2.69742e-02
-0.997211474351 +/- 0.00243741718583
-0.0199774926998 +/- 0.0018129318814
-PDF lnN 1.0199774927
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/signal400_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/signal400_sig.log
deleted file mode 100644
index 9acbb71..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_crystal_1_285_624/signal400_sig.log
+++ /dev/null
@@ -1,869 +0,0 @@
-
-Processing test.c...
-nSignal_init = 299800
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33249 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.15243e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   1.37205e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.80805e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.17737e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.38307e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=1.96152e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.85506e+02   3.78343e-01   1.28380e-03  -1.79696e-02
-   2  sg_p1        2.16205e+01   3.35235e-01   1.80013e-03  -1.11987e-02
-   3  sg_p2        3.70000e+02   1.32448e-01   9.45540e-03** at limit **
-   4  sg_p3        6.22011e+01   2.14887e+00   4.32821e-03   3.71767e-02
-   5  sg_p4        7.86673e-01   1.32740e-02   2.60376e-03  -4.77327e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.431e-01 -3.809e-02 -1.363e-08 -2.470e-01 -1.694e-03 
- -3.809e-02  1.124e-01  1.303e-09  3.035e-01  2.581e-03 
- -1.363e-08  1.303e-09  4.343e-10  9.091e-11 -1.595e-10 
- -2.470e-01  3.035e-01  9.091e-11  4.621e+00  1.948e-02 
- -1.694e-03  2.581e-03 -1.595e-10  1.948e-02  1.763e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37324   1.000 -0.300 -0.002 -0.304 -0.337
-        2  0.59095  -0.300  1.000  0.000  0.421  0.580
-        3  0.00218  -0.002  0.000  1.000  0.000 -0.001
-        4  0.68717  -0.304  0.421  0.000  1.000  0.682
-        5  0.75833  -0.337  0.580 -0.001  0.682  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM HESSE     STATUS=OK             31 CALLS         195 TOTAL
-                     EDM=1.96284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.85506e+02   3.78550e-01   5.13518e-05  -2.74710e-01
-   2  sg_p1        2.16205e+01   3.35880e-01   7.20051e-05   6.51457e-03
-   3  sg_p2        3.70000e+02   1.32456e-01   1.89108e-03  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.22011e+01   2.15536e+00   1.73128e-04   1.60716e-01
-   5  sg_p4        7.86673e-01   1.33169e-02   5.20752e-04   6.10583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.433e-01 -3.844e-02 -2.714e-09 -2.490e-01 -1.705e-03 
- -3.844e-02  1.128e-01  2.582e-10  3.070e-01  2.603e-03 
- -2.714e-09  2.582e-10  4.343e-10  2.856e-11 -3.187e-11 
- -2.490e-01  3.070e-01  2.856e-11  4.649e+00  1.966e-02 
- -1.705e-03  2.603e-03 -3.187e-11  1.966e-02  1.774e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37450   1.000 -0.302 -0.000 -0.305 -0.338
-        2  0.59306  -0.302  1.000  0.000  0.424  0.582
-        3  0.00043  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68946  -0.305  0.424  0.000  1.000  0.685
-        5  0.76013  -0.338  0.582 -0.000  0.685  1.000
-400
-385.506 +- 0.37855
-21.6205 +- 0.33588
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33081 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   1.81151e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.25726e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.70388e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.66591e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.95873e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM MIGRAD    STATUS=CONVERGED     160 CALLS         161 TOTAL
-                     EDM=5.64365e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.87437e+02   3.85764e-01   1.26589e-03  -5.15663e-01
-   2  sg_p1        2.16839e+01   3.35523e-01   1.79115e-03   1.07532e-01
-   3  sg_p2        3.70000e+02   1.39833e-01   9.73370e-03** at limit **
-   4  sg_p3        6.08508e+01   2.10095e+00   4.12758e-03   3.24347e-02
-   5  sg_p4        7.89007e-01   1.33639e-02   2.62549e-03  -2.60744e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-01 -4.305e-02 -2.519e-07 -2.764e-01 -1.946e-03 
- -4.305e-02  1.126e-01 -9.366e-09  3.008e-01  2.619e-03 
- -2.519e-07 -9.366e-09  1.704e-07 -3.173e-07 -6.072e-09 
- -2.764e-01  3.008e-01 -3.173e-07  4.417e+00  1.920e-02 
- -1.946e-03  2.619e-03 -6.072e-09  1.920e-02  1.787e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41597   1.000 -0.333 -0.002 -0.341 -0.377
-        2  0.59692  -0.333  1.000 -0.000  0.427  0.584
-        3  0.00247  -0.002 -0.000  1.000 -0.000 -0.001
-        4  0.68971  -0.341  0.427 -0.000  1.000  0.684
-        5  0.76090  -0.377  0.584 -0.001  0.684  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM HESSE     STATUS=OK             31 CALLS         192 TOTAL
-                     EDM=5.65901e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.87437e+02   3.86035e-01   2.53178e-04  -2.17803e-01
-   2  sg_p1        2.16839e+01   3.36156e-01   7.16461e-05   9.94233e-03
-   3  sg_p2        3.70000e+02   1.39842e-01   1.94674e-03  -1.57091e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.08508e+01   2.10696e+00   1.65103e-04   1.30388e-01
-   5  sg_p4        7.89007e-01   1.34047e-02   5.25097e-04   6.16292e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.490e-01 -4.342e-02 -4.545e-08 -2.786e-01 -1.959e-03 
- -4.342e-02  1.130e-01 -1.794e-09  3.041e-01  2.641e-03 
- -4.545e-08 -1.794e-09  1.704e-07 -5.759e-08 -1.102e-09 
- -2.786e-01  3.041e-01 -5.759e-08  4.443e+00  1.938e-02 
- -1.959e-03  2.641e-03 -1.102e-09  1.938e-02  1.798e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41736   1.000 -0.335 -0.000 -0.342 -0.378
-        2  0.59895  -0.335  1.000 -0.000  0.429  0.586
-        3  0.00045  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.69187  -0.342  0.429 -0.000  1.000  0.686
-        5  0.76259  -0.378  0.586 -0.000  0.686  1.000
-400
-387.437 +- 0.386035
-21.6839 +- 0.336156
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33253.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.45970e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.71903e+00
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.91853e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -8.75244e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.55185e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=3.35227e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.83669e+02   3.75050e-01   1.31711e-03   2.71422e-01
-   2  sg_p1        2.15657e+01   3.35007e-01   1.81860e-03   2.93721e-01
-   3  sg_p2        3.70000e+02   1.18706e-01   8.94035e-03** at limit **
-   4  sg_p3        6.23837e+01   2.11611e+00   4.26491e-03   6.14124e-02
-   5  sg_p4        7.79157e-01   1.33723e-02   2.61066e-03  -1.92762e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.407e-01 -3.293e-02 -8.781e-08 -2.099e-01 -1.470e-03 
- -3.293e-02  1.122e-01  1.601e-08  2.882e-01  2.545e-03 
- -8.781e-08  1.601e-08  1.802e-08  1.177e-07 -2.465e-10 
- -2.099e-01  2.882e-01  1.177e-07  4.481e+00  1.922e-02 
- -1.470e-03  2.545e-03 -2.465e-10  1.922e-02  1.789e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32654   1.000 -0.262 -0.002 -0.264 -0.293
-        2  0.57704  -0.262  1.000  0.000  0.406  0.568
-        3  0.00196  -0.002  0.000  1.000  0.000 -0.000
-        4  0.68265  -0.264  0.406  0.000  1.000  0.679
-        5  0.75308  -0.293  0.568 -0.000  0.679  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM HESSE     STATUS=OK             31 CALLS         190 TOTAL
-                     EDM=3.3512e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.83669e+02   3.75180e-01   2.63421e-04  -3.29696e-01
-   2  sg_p1        2.15657e+01   3.35505e-01   3.63719e-04   3.55092e-03
-   3  sg_p2        3.70000e+02   1.18712e-01   1.78807e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.23837e+01   2.12217e+00   1.70597e-04   1.64828e-01
-   5  sg_p4        7.79157e-01   1.34121e-02   5.22132e-04   5.92353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.408e-01 -3.318e-02 -1.693e-08 -2.114e-01 -1.478e-03 
- -3.318e-02  1.126e-01  3.095e-09  2.911e-01  2.564e-03 
- -1.693e-08  3.095e-09  1.803e-08  2.290e-08 -4.701e-11 
- -2.114e-01  2.911e-01  2.290e-08  4.507e+00  1.940e-02 
- -1.478e-03  2.564e-03 -4.701e-11  1.940e-02  1.799e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32749   1.000 -0.264 -0.000 -0.265 -0.294
-        2  0.57875  -0.264  1.000  0.000  0.409  0.570
-        3  0.00038  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68487  -0.265  0.409  0.000  1.000  0.681
-        5  0.75478  -0.294  0.570 -0.000  0.681  1.000
-400
-383.669 +- 0.37518
-21.5657 +- 0.335505
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24472.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.05856e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.09033e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.48368e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.94112e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.96270e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM MIGRAD    STATUS=CONVERGED     509 CALLS         510 TOTAL
-                     EDM=2.5866e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03031e+02   2.26519e-01   7.06422e-04  -6.24953e-01
-   2  sg_p1        9.12153e+00   3.63993e-01   2.95185e-03  -8.05301e-02
-   3  sg_p2        3.99298e+02   7.10621e-01   6.21816e-04   1.57926e-02
-   4  sg_p3        2.14947e+01   1.13267e+00   1.39396e-03  -1.73297e-02
-   5  sg_p4        6.42062e-01   4.06347e-02   2.84361e-03   2.63915e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.131e-02 -2.172e-02  2.774e-02 -8.091e-02 -2.646e-03 
- -2.172e-02  1.327e-01  1.233e-01  3.176e-01  1.317e-02 
-  2.774e-02  1.233e-01  5.050e-01  3.697e-01  1.525e-02 
- -8.091e-02  3.176e-01  3.697e-01  1.283e+00  4.116e-02 
- -2.646e-03  1.317e-02  1.525e-02  4.116e-02  1.655e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49329   1.000 -0.263  0.172 -0.315 -0.287
-        2  0.89097  -0.263  1.000  0.476  0.770  0.889
-        3  0.62717   0.172  0.476  1.000  0.459  0.527
-        4  0.89690  -0.315  0.770  0.459  1.000  0.893
-        5  0.94977  -0.287  0.889  0.527  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM HESSE     STATUS=OK             31 CALLS         541 TOTAL
-                     EDM=2.57939e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03031e+02   2.26798e-01   1.41284e-04   1.01207e-01
-   2  sg_p1        9.12153e+00   3.64169e-01   5.90369e-04   2.02560e-02
-   3  sg_p2        3.99298e+02   7.06750e-01   2.48726e-05   2.54828e+00
-   4  sg_p3        2.14947e+01   1.13406e+00   5.57583e-05  -9.89569e-01
-   5  sg_p4        6.42062e-01   4.06652e-02   5.68723e-04   2.88093e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.144e-02 -2.202e-02  2.804e-02 -8.193e-02 -2.679e-03 
- -2.202e-02  1.328e-01  1.208e-01  3.183e-01  1.319e-02 
-  2.804e-02  1.208e-01  4.995e-01  3.614e-01  1.495e-02 
- -8.193e-02  3.183e-01  3.614e-01  1.286e+00  4.125e-02 
- -2.679e-03  1.319e-02  1.495e-02  4.125e-02  1.658e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49518   1.000 -0.266  0.175 -0.319 -0.290
-        2  0.89108  -0.266  1.000  0.469  0.770  0.889
-        3  0.62183   0.175  0.469  1.000  0.451  0.520
-        4  0.89717  -0.319  0.770  0.451  1.000  0.893
-        5  0.94985  -0.290  0.889  0.520  0.893  1.000
-400
-403.031 +- 0.226798
-9.12153 +- 0.364169
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24696.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.50567e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.99560e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.90457e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.28000e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50850e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM MIGRAD    STATUS=CONVERGED     461 CALLS         462 TOTAL
-                     EDM=2.05098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03536e+02   2.36042e-01   7.27613e-04   1.38133e-01
-   2  sg_p1        9.26052e+00   3.88073e-01   3.03064e-03   3.06014e-03
-   3  sg_p2        3.99846e+02   7.05843e-01   6.16081e-04   4.24773e-01
-   4  sg_p3        2.13604e+01   1.14532e+00   1.37198e-03   1.42343e-01
-   5  sg_p4        6.36255e-01   4.36783e-02   2.89979e-03  -2.83285e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.572e-02 -2.634e-02  2.796e-02 -9.283e-02 -3.232e-03 
- -2.634e-02  1.508e-01  1.325e-01  3.480e-01  1.525e-02 
-  2.796e-02  1.325e-01  4.982e-01  3.683e-01  1.636e-02 
- -9.283e-02  3.480e-01  3.683e-01  1.312e+00  4.510e-02 
- -3.232e-03  1.525e-02  1.636e-02  4.510e-02  1.913e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.51806   1.000 -0.287  0.168 -0.343 -0.313
-        2  0.90009  -0.287  1.000  0.483  0.782  0.898
-        3  0.63614   0.168  0.483  1.000  0.456  0.530
-        4  0.90455  -0.343  0.782  0.456  1.000  0.900
-        5  0.95487  -0.313  0.898  0.530  0.900  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM HESSE     STATUS=OK             31 CALLS         493 TOTAL
-                     EDM=2.03888e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03536e+02   2.36409e-01   1.45523e-04   1.18130e-01
-   2  sg_p1        9.26052e+00   3.89977e-01   1.21225e-04   4.34340e-02
-   3  sg_p2        3.99846e+02   7.03519e-01   1.23216e-04   2.54251e+00
-   4  sg_p3        2.13604e+01   1.15130e+00   5.48791e-05  -9.93073e-01
-   5  sg_p4        6.36255e-01   4.39145e-02   5.79958e-04   2.76000e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.589e-02 -2.689e-02  2.803e-02 -9.446e-02 -3.293e-03 
- -2.689e-02  1.523e-01  1.317e-01  3.524e-01  1.543e-02 
-  2.803e-02  1.317e-01  4.949e-01  3.651e-01  1.624e-02 
- -9.446e-02  3.524e-01  3.651e-01  1.326e+00  4.564e-02 
- -3.293e-03  1.543e-02  1.624e-02  4.564e-02  1.934e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.52024   1.000 -0.291  0.169 -0.347 -0.317
-        2  0.90112  -0.291  1.000  0.480  0.784  0.899
-        3  0.63303   0.169  0.480  1.000  0.451  0.525
-        4  0.90559  -0.347  0.784  0.451  1.000  0.901
-        5  0.95536  -0.317  0.899  0.525  0.901  1.000
-400
-403.536 +- 0.236409
-9.26052 +- 0.389977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24015.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.73383e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.14601e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.01620e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.59452e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.70364e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM MIGRAD    STATUS=CONVERGED     571 CALLS         572 TOTAL
-                     EDM=2.11975e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02655e+02   2.13288e-01   6.62907e-04  -4.46168e-01
-   2  sg_p1        9.23949e+00   3.37872e-01   2.75680e-03  -1.32311e-01
-   3  sg_p2        3.98219e+02   8.68178e-01   7.02928e-04   2.98040e-01
-   4  sg_p3        2.22778e+01   1.33749e+00   1.59705e-03  -1.34034e-01
-   5  sg_p4        6.87624e-01   3.80009e-02   2.77016e-03   9.90234e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.549e-02 -1.871e-02  2.077e-02 -9.028e-02 -2.314e-03 
- -1.871e-02  1.143e-01  1.614e-01  3.481e-01  1.139e-02 
-  2.077e-02  1.614e-01  7.538e-01  6.352e-01  2.015e-02 
- -9.028e-02  3.481e-01  6.352e-01  1.790e+00  4.538e-02 
- -2.314e-03  1.139e-02  2.015e-02  4.538e-02  1.447e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48247   1.000 -0.259  0.112 -0.316 -0.285
-        2  0.88740  -0.259  1.000  0.550  0.770  0.886
-        3  0.68165   0.112  0.550  1.000  0.547  0.610
-        4  0.89573  -0.316  0.770  0.547  1.000  0.892
-        5  0.94802  -0.285  0.886  0.610  0.892  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM HESSE     STATUS=OK             31 CALLS         603 TOTAL
-                     EDM=2.11621e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02655e+02   2.13549e-01   1.32581e-04   8.86008e-02
-   2  sg_p1        9.23949e+00   3.38145e-01   5.51360e-04   3.99260e-02
-   3  sg_p2        3.98219e+02   8.63799e-01   1.40586e-04   2.55955e+00
-   4  sg_p3        2.22778e+01   1.33974e+00   6.38820e-05  -9.69500e-01
-   5  sg_p4        6.87624e-01   3.80543e-02   5.54033e-04   3.84665e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.560e-02 -1.897e-02  2.093e-02 -9.145e-02 -2.344e-03 
- -1.897e-02  1.145e-01  1.594e-01  3.492e-01  1.142e-02 
-  2.093e-02  1.594e-01  7.462e-01  6.264e-01  1.990e-02 
- -9.145e-02  3.492e-01  6.264e-01  1.796e+00  4.554e-02 
- -2.344e-03  1.142e-02  1.990e-02  4.554e-02  1.451e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48441   1.000 -0.263  0.113 -0.320 -0.288
-        2  0.88760  -0.263  1.000  0.545  0.770  0.886
-        3  0.67765   0.113  0.545  1.000  0.541  0.605
-        4  0.89610  -0.320  0.770  0.541  1.000  0.892
-        5  0.94817  -0.288  0.886  0.605  0.892  1.000
-400
-402.655 +- 0.213549
-9.23949 +- 0.338145
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23933.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.00563e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.26149e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.57290e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.98719e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.58184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23482 FROM MIGRAD    STATUS=CONVERGED     425 CALLS         426 TOTAL
-                     EDM=1.98551e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03064e+02   2.30766e-01   4.51369e-05   5.86157e-01
-   2  sg_p1        9.18055e+00   3.67314e-01  -4.43730e-04   8.55470e-03
-   3  sg_p2        3.99566e+02   7.08192e-01  -8.00128e-05  -4.66991e-01
-   4  sg_p3        2.13892e+01   1.12890e+00   4.69804e-04  -1.79727e-01
-   5  sg_p4        6.36669e-01   4.03843e-02   7.38905e-05   1.36445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.325e-02 -2.904e-02  2.726e-02 -9.686e-02 -3.527e-03 
- -2.904e-02  1.351e-01  1.202e-01  3.188e-01  1.315e-02 
-  2.726e-02  1.202e-01  5.015e-01  3.501e-01  1.456e-02 
- -9.686e-02  3.188e-01  3.501e-01  1.275e+00  4.101e-02 
- -3.527e-03  1.315e-02  1.456e-02  4.101e-02  1.635e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.56644   1.000 -0.342  0.167 -0.372 -0.378
-        2  0.88731  -0.342  1.000  0.462  0.768  0.885
-        3  0.64043   0.167  0.462  1.000  0.438  0.509
-        4  0.90083  -0.372  0.768  0.438  1.000  0.898
-        5  0.95189  -0.378  0.885  0.509  0.898  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23482 FROM HESSE     STATUS=OK             35 CALLS         461 TOTAL
-                     EDM=5.54045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03064e+02   2.33269e-01   7.19455e-04   1.02309e-01
-   2  sg_p1        9.18055e+00   3.92591e-01   3.01012e-03   3.00958e-02
-   3  sg_p2        3.99566e+02   7.11832e-01   6.13401e-04   2.54546e+00
-   4  sg_p3        2.13892e+01   1.16905e+00   1.37125e-03  -9.92320e-01
-   5  sg_p4        6.36669e-01   4.39485e-02   2.87997e-03   2.76861e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.442e-02 -2.298e-02  3.133e-02 -8.326e-02 -2.828e-03 
- -2.298e-02  1.543e-01  1.349e-01  3.609e-01  1.554e-02 
-  3.133e-02  1.349e-01  5.067e-01  3.816e-01  1.648e-02 
- -8.326e-02  3.609e-01  3.816e-01  1.367e+00  4.638e-02 
- -2.828e-03  1.554e-02  1.648e-02  4.638e-02  1.937e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49395   1.000 -0.251  0.189 -0.305 -0.275
-        2  0.90095  -0.251  1.000  0.482  0.786  0.899
-        3  0.63094   0.189  0.482  1.000  0.459  0.526
-        4  0.90514  -0.305  0.786  0.459  1.000  0.901
-        5  0.95480  -0.275  0.899  0.526  0.901  1.000
-400
-403.064 +- 0.233269
-9.18055 +- 0.392591
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24885.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.11264e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.79480e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39340e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.92985e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.63355e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM MIGRAD    STATUS=CONVERGED     428 CALLS         429 TOTAL
-                     EDM=7.26443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02955e+02   2.19114e-01   6.87184e-04  -4.52991e-01
-   2  sg_p1        9.16571e+00   3.57674e-01   2.86480e-03  -1.28599e-01
-   3  sg_p2        3.99199e+02   7.40925e-01   6.46031e-04   5.84783e-01
-   4  sg_p3        2.16431e+01   1.21207e+00   1.45003e-03  -5.04696e-01
-   5  sg_p4        6.62907e-01   4.05793e-02   2.83164e-03   1.71367e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.801e-02 -2.192e-02  2.514e-02 -8.718e-02 -2.692e-03 
- -2.192e-02  1.281e-01  1.292e-01  3.393e-01  1.300e-02 
-  2.514e-02  1.292e-01  5.490e-01  4.252e-01  1.618e-02 
- -8.718e-02  3.393e-01  4.252e-01  1.470e+00  4.429e-02 
- -2.692e-03  1.300e-02  1.618e-02  4.429e-02  1.651e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49883   1.000 -0.280  0.155 -0.328 -0.302
-        2  0.89599  -0.280  1.000  0.487  0.782  0.894
-        3  0.63326   0.155  0.487  1.000  0.473  0.538
-        4  0.90259  -0.328  0.782  0.473  1.000  0.899
-        5  0.95237  -0.302  0.894  0.538  0.899  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM HESSE     STATUS=OK             31 CALLS         460 TOTAL
-                     EDM=7.27657e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02955e+02   2.19385e-01   1.37437e-04   9.86503e-02
-   2  sg_p1        9.16571e+00   3.58424e-01   5.72960e-04   2.76226e-02
-   3  sg_p2        3.99199e+02   7.37765e-01   1.29206e-04   2.54932e+00
-   4  sg_p3        2.16431e+01   1.21551e+00   2.90006e-04  -9.85719e-01
-   5  sg_p4        6.62907e-01   4.06836e-02   5.66328e-04   3.31874e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.813e-02 -2.225e-02  2.533e-02 -8.836e-02 -2.729e-03 
- -2.225e-02  1.286e-01  1.275e-01  3.414e-01  1.307e-02 
-  2.533e-02  1.275e-01  5.443e-01  4.191e-01  1.598e-02 
- -8.836e-02  3.414e-01  4.191e-01  1.478e+00  4.455e-02 
- -2.729e-03  1.307e-02  1.598e-02  4.455e-02  1.659e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50069   1.000 -0.283  0.157 -0.331 -0.305
-        2  0.89645  -0.283  1.000  0.482  0.783  0.895
-        3  0.62918   0.157  0.482  1.000  0.467  0.532
-        4  0.90317  -0.331  0.783  0.467  1.000  0.900
-        5  0.95262  -0.305  0.895  0.532  0.900  1.000
-400
-402.955 +- 0.219385
-9.16571 +- 0.358424
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22933.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.87100e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.93992e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39002e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.82300e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50242e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM MIGRAD    STATUS=CONVERGED     449 CALLS         450 TOTAL
-                     EDM=1.18063e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.33943e-01   7.06213e-04   9.04520e-02
-   2  sg_p1        9.10686e+00   3.76352e-01   2.94856e-03  -2.29097e-02
-   3  sg_p2        3.99344e+02   7.27483e-01   6.18170e-04  -1.42732e-01
-   4  sg_p3        2.14204e+01   1.15968e+00   1.38769e-03   7.24703e-02
-   5  sg_p4        6.41123e-01   4.21101e-02   2.84478e-03  -3.40374e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.473e-02 -2.306e-02  3.001e-02 -8.509e-02 -2.816e-03 
- -2.306e-02  1.418e-01  1.295e-01  3.363e-01  1.412e-02 
-  3.001e-02  1.295e-01  5.292e-01  3.838e-01  1.605e-02 
- -8.509e-02  3.363e-01  3.838e-01  1.345e+00  4.369e-02 
- -2.816e-03  1.412e-02  1.605e-02  4.369e-02  1.778e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49289   1.000 -0.262  0.176 -0.314 -0.285
-        2  0.89116  -0.262  1.000  0.473  0.770  0.889
-        3  0.62460   0.176  0.473  1.000  0.455  0.523
-        4  0.89709  -0.314  0.770  0.455  1.000  0.893
-        5  0.94991  -0.285  0.889  0.523  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM HESSE     STATUS=OK             31 CALLS         481 TOTAL
-                     EDM=1.18704e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.34247e-01   1.41243e-04   1.01255e-01
-   2  sg_p1        9.10686e+00   3.78028e-01   1.17943e-04   1.78107e-02
-   3  sg_p2        3.99344e+02   7.25174e-01   1.23634e-04   2.54779e+00
-   4  sg_p3        2.14204e+01   1.16522e+00   5.55076e-05  -9.91505e-01
-   5  sg_p4        6.41123e-01   4.23208e-02   5.68957e-04   2.86134e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.487e-02 -2.352e-02  3.007e-02 -8.655e-02 -2.868e-03 
- -2.352e-02  1.431e-01  1.286e-01  3.403e-01  1.427e-02 
-  3.007e-02  1.286e-01  5.259e-01  3.804e-01  1.593e-02 
- -8.655e-02  3.403e-01  3.804e-01  1.358e+00  4.417e-02 
- -2.868e-03  1.427e-02  1.593e-02  4.417e-02  1.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49488   1.000 -0.265  0.177 -0.317 -0.289
-        2  0.89218  -0.265  1.000  0.469  0.772  0.890
-        3  0.62148   0.177  0.469  1.000  0.450  0.519
-        4  0.89813  -0.317  0.772  0.450  1.000  0.894
-        5  0.95042  -0.289  0.890  0.519  0.894  1.000
-400
-403.032 +- 0.234247
-9.10686 +- 0.378028
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26088.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.25521e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.24913e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.58204e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.06494e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.44374e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.85098 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (43592.9) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=411.751, sg_p1=10.1393, sg_p2=221.646, sg_p3=12.3173, sg_p4=0.392797
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=352.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=355.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=358.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=361.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=364.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=367.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=370.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=373.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=376.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=379.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=382.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=385.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-    ... (remaining 23 messages suppressed)
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM MIGRAD    STATUS=CONVERGED     410 CALLS         411 TOTAL
-                     EDM=8.53169e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.19508e-01   7.06641e-04   2.77604e-01
-   2  sg_p1        9.13654e+00   3.52245e-01   2.95146e-03   6.85002e-02
-   3  sg_p2        3.99251e+02   6.94391e-01   6.24869e-04  -5.23482e-02
-   4  sg_p3        2.15673e+01   1.10701e+00   1.40379e-03   1.05606e-01
-   5  sg_p4        6.42963e-01   3.92422e-02   2.83913e-03  -5.31174e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.818e-02 -2.053e-02  2.561e-02 -7.720e-02 -2.495e-03 
- -2.053e-02  1.242e-01  1.174e-01  3.004e-01  1.231e-02 
-  2.561e-02  1.174e-01  4.822e-01  3.562e-01  1.450e-02 
- -7.720e-02  3.004e-01  3.562e-01  1.226e+00  3.884e-02 
- -2.495e-03  1.231e-02  1.450e-02  3.884e-02  1.543e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49407   1.000 -0.265  0.168 -0.318 -0.289
-        2  0.89076  -0.265  1.000  0.480  0.770  0.889
-        3  0.62968   0.168  0.480  1.000  0.463  0.531
-        4  0.89677  -0.318  0.770  0.463  1.000  0.893
-        5  0.94966  -0.289  0.889  0.531  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM HESSE     STATUS=OK             31 CALLS         442 TOTAL
-                     EDM=8.53668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.19804e-01   1.41328e-04   1.01235e-01
-   2  sg_p1        9.13654e+00   3.53820e-01   1.18058e-04   2.27585e-02
-   3  sg_p2        3.99251e+02   6.92171e-01   1.24974e-04   2.54877e+00
-   4  sg_p3        2.15673e+01   1.11233e+00   5.61518e-05  -9.87685e-01
-   5  sg_p4        6.42963e-01   3.94399e-02   5.67827e-04   2.89973e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.831e-02 -2.094e-02  2.565e-02 -7.854e-02 -2.542e-03 
- -2.094e-02  1.253e-01  1.167e-01  3.040e-01  1.244e-02 
-  2.565e-02  1.167e-01  4.791e-01  3.532e-01  1.440e-02 
- -7.854e-02  3.040e-01  3.532e-01  1.238e+00  3.927e-02 
- -2.542e-03  1.244e-02  1.440e-02  3.927e-02  1.559e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49612   1.000 -0.269  0.169 -0.321 -0.293
-        2  0.89179  -0.269  1.000  0.476  0.772  0.890
-        3  0.62659   0.169  0.476  1.000  0.459  0.527
-        4  0.89781  -0.321  0.772  0.459  1.000  0.894
-        5  0.95017  -0.293  0.890  0.527  0.894  1.000
-400
-403.032 +- 0.219804
-9.13654 +- 0.35382
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 403.031 +- 0.226798 (stat) - 0.376479 + 0.504637 (syst); -0.393186/+0.517221 (total)
-   Uncertainty on sg_p1 = 9.12153 +- 0.364169 (stat) - 0.014669 + 0.138994 (syst); -0.182675/+0.229073 (total)
-   Uncertainty on sg_p2 = 399.298 +- 0.70675 (stat) - 1.07894 + 0.548609 (syst); -1.13534/+0.652569 (total)
-   Uncertainty on sg_p3 = 21.4947 +- 1.13406 (stat) - 0.134294 + 0.783059 (syst); -0.582718/+0.966802 (total)
-   Uncertainty on sg_p4 = 0.642062 +- 0.0406652 (stat) - 0.00580743 + 0.0455621 (syst); -0.0211457/+0.049893 (total) 
-   === Baseline plot === </br>
-   norm = 790.651
-JEC     lnN   1.00381  -
-JER     lnN   1.01925  -
-btag    lnN   1.06523  -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out
deleted file mode 100644
index a218ea6..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.040
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 4.84368e-07  -4.84368e-07/+0.0644779  (68% CL)
-nll S+B -> -0.00663114  nll B -> -0.00663045
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out
deleted file mode 100644
index a60f18f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.130602:	q_mu = 3.83354	q_A  = 3.83544	CLsb = 0.02512	CLb  = 0.50019	CLs  = 0.05022
-
- -- Asymptotic -- 
-Observed Limit: r < 0.1306
-Expected  2.5%: r < 0.0690
-Expected 16.0%: r < 0.0925
-Expected 50.0%: r < 0.1304
-Expected 84.0%: r < 0.1870
-Expected 97.5%: r < 0.2598
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt
deleted file mode 100644
index 198429b..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  790.651 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06523    -
-JER       lnN     1.01925   - 
-JEC       lnN     1.00381   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0199774927   -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/pdf.log
deleted file mode 100644
index 6c83983..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.89323 FROM MIGRAD    STATUS=CONVERGED      63 CALLS          64 TOTAL
-                     EDM=7.57236e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.56976e+01   1.98145e+00   2.66437e-03   2.44799e-04
-   2  Mean         9.97211e-01   2.43742e-03   3.88392e-06   6.59106e-02
-   3  Sigma        1.99775e-02   1.81293e-03   4.40458e-05  -2.69742e-02
-0.997211474351 +/- 0.00243741718583
-0.0199774926998 +/- 0.0018129318814
-PDF lnN 1.0199774927
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/signal400_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/signal400_sig.log
deleted file mode 100644
index 9acbb71..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_400_novo_285_624/signal400_sig.log
+++ /dev/null
@@ -1,869 +0,0 @@
-
-Processing test.c...
-nSignal_init = 299800
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33249 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.15243e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   1.37205e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.80805e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.17737e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.38307e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=1.96152e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.85506e+02   3.78343e-01   1.28380e-03  -1.79696e-02
-   2  sg_p1        2.16205e+01   3.35235e-01   1.80013e-03  -1.11987e-02
-   3  sg_p2        3.70000e+02   1.32448e-01   9.45540e-03** at limit **
-   4  sg_p3        6.22011e+01   2.14887e+00   4.32821e-03   3.71767e-02
-   5  sg_p4        7.86673e-01   1.32740e-02   2.60376e-03  -4.77327e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.431e-01 -3.809e-02 -1.363e-08 -2.470e-01 -1.694e-03 
- -3.809e-02  1.124e-01  1.303e-09  3.035e-01  2.581e-03 
- -1.363e-08  1.303e-09  4.343e-10  9.091e-11 -1.595e-10 
- -2.470e-01  3.035e-01  9.091e-11  4.621e+00  1.948e-02 
- -1.694e-03  2.581e-03 -1.595e-10  1.948e-02  1.763e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37324   1.000 -0.300 -0.002 -0.304 -0.337
-        2  0.59095  -0.300  1.000  0.000  0.421  0.580
-        3  0.00218  -0.002  0.000  1.000  0.000 -0.001
-        4  0.68717  -0.304  0.421  0.000  1.000  0.682
-        5  0.75833  -0.337  0.580 -0.001  0.682  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM HESSE     STATUS=OK             31 CALLS         195 TOTAL
-                     EDM=1.96284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.85506e+02   3.78550e-01   5.13518e-05  -2.74710e-01
-   2  sg_p1        2.16205e+01   3.35880e-01   7.20051e-05   6.51457e-03
-   3  sg_p2        3.70000e+02   1.32456e-01   1.89108e-03  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.22011e+01   2.15536e+00   1.73128e-04   1.60716e-01
-   5  sg_p4        7.86673e-01   1.33169e-02   5.20752e-04   6.10583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.433e-01 -3.844e-02 -2.714e-09 -2.490e-01 -1.705e-03 
- -3.844e-02  1.128e-01  2.582e-10  3.070e-01  2.603e-03 
- -2.714e-09  2.582e-10  4.343e-10  2.856e-11 -3.187e-11 
- -2.490e-01  3.070e-01  2.856e-11  4.649e+00  1.966e-02 
- -1.705e-03  2.603e-03 -3.187e-11  1.966e-02  1.774e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37450   1.000 -0.302 -0.000 -0.305 -0.338
-        2  0.59306  -0.302  1.000  0.000  0.424  0.582
-        3  0.00043  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68946  -0.305  0.424  0.000  1.000  0.685
-        5  0.76013  -0.338  0.582 -0.000  0.685  1.000
-400
-385.506 +- 0.37855
-21.6205 +- 0.33588
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33081 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   1.81151e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.25726e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.70388e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.66591e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.95873e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM MIGRAD    STATUS=CONVERGED     160 CALLS         161 TOTAL
-                     EDM=5.64365e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.87437e+02   3.85764e-01   1.26589e-03  -5.15663e-01
-   2  sg_p1        2.16839e+01   3.35523e-01   1.79115e-03   1.07532e-01
-   3  sg_p2        3.70000e+02   1.39833e-01   9.73370e-03** at limit **
-   4  sg_p3        6.08508e+01   2.10095e+00   4.12758e-03   3.24347e-02
-   5  sg_p4        7.89007e-01   1.33639e-02   2.62549e-03  -2.60744e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-01 -4.305e-02 -2.519e-07 -2.764e-01 -1.946e-03 
- -4.305e-02  1.126e-01 -9.366e-09  3.008e-01  2.619e-03 
- -2.519e-07 -9.366e-09  1.704e-07 -3.173e-07 -6.072e-09 
- -2.764e-01  3.008e-01 -3.173e-07  4.417e+00  1.920e-02 
- -1.946e-03  2.619e-03 -6.072e-09  1.920e-02  1.787e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41597   1.000 -0.333 -0.002 -0.341 -0.377
-        2  0.59692  -0.333  1.000 -0.000  0.427  0.584
-        3  0.00247  -0.002 -0.000  1.000 -0.000 -0.001
-        4  0.68971  -0.341  0.427 -0.000  1.000  0.684
-        5  0.76090  -0.377  0.584 -0.001  0.684  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM HESSE     STATUS=OK             31 CALLS         192 TOTAL
-                     EDM=5.65901e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.87437e+02   3.86035e-01   2.53178e-04  -2.17803e-01
-   2  sg_p1        2.16839e+01   3.36156e-01   7.16461e-05   9.94233e-03
-   3  sg_p2        3.70000e+02   1.39842e-01   1.94674e-03  -1.57091e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.08508e+01   2.10696e+00   1.65103e-04   1.30388e-01
-   5  sg_p4        7.89007e-01   1.34047e-02   5.25097e-04   6.16292e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.490e-01 -4.342e-02 -4.545e-08 -2.786e-01 -1.959e-03 
- -4.342e-02  1.130e-01 -1.794e-09  3.041e-01  2.641e-03 
- -4.545e-08 -1.794e-09  1.704e-07 -5.759e-08 -1.102e-09 
- -2.786e-01  3.041e-01 -5.759e-08  4.443e+00  1.938e-02 
- -1.959e-03  2.641e-03 -1.102e-09  1.938e-02  1.798e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41736   1.000 -0.335 -0.000 -0.342 -0.378
-        2  0.59895  -0.335  1.000 -0.000  0.429  0.586
-        3  0.00045  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.69187  -0.342  0.429 -0.000  1.000  0.686
-        5  0.76259  -0.378  0.586 -0.000  0.686  1.000
-400
-387.437 +- 0.386035
-21.6839 +- 0.336156
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33253.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.45970e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.71903e+00
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.91853e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -8.75244e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.55185e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=3.35227e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.83669e+02   3.75050e-01   1.31711e-03   2.71422e-01
-   2  sg_p1        2.15657e+01   3.35007e-01   1.81860e-03   2.93721e-01
-   3  sg_p2        3.70000e+02   1.18706e-01   8.94035e-03** at limit **
-   4  sg_p3        6.23837e+01   2.11611e+00   4.26491e-03   6.14124e-02
-   5  sg_p4        7.79157e-01   1.33723e-02   2.61066e-03  -1.92762e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.407e-01 -3.293e-02 -8.781e-08 -2.099e-01 -1.470e-03 
- -3.293e-02  1.122e-01  1.601e-08  2.882e-01  2.545e-03 
- -8.781e-08  1.601e-08  1.802e-08  1.177e-07 -2.465e-10 
- -2.099e-01  2.882e-01  1.177e-07  4.481e+00  1.922e-02 
- -1.470e-03  2.545e-03 -2.465e-10  1.922e-02  1.789e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32654   1.000 -0.262 -0.002 -0.264 -0.293
-        2  0.57704  -0.262  1.000  0.000  0.406  0.568
-        3  0.00196  -0.002  0.000  1.000  0.000 -0.000
-        4  0.68265  -0.264  0.406  0.000  1.000  0.679
-        5  0.75308  -0.293  0.568 -0.000  0.679  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM HESSE     STATUS=OK             31 CALLS         190 TOTAL
-                     EDM=3.3512e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.83669e+02   3.75180e-01   2.63421e-04  -3.29696e-01
-   2  sg_p1        2.15657e+01   3.35505e-01   3.63719e-04   3.55092e-03
-   3  sg_p2        3.70000e+02   1.18712e-01   1.78807e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.23837e+01   2.12217e+00   1.70597e-04   1.64828e-01
-   5  sg_p4        7.79157e-01   1.34121e-02   5.22132e-04   5.92353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.408e-01 -3.318e-02 -1.693e-08 -2.114e-01 -1.478e-03 
- -3.318e-02  1.126e-01  3.095e-09  2.911e-01  2.564e-03 
- -1.693e-08  3.095e-09  1.803e-08  2.290e-08 -4.701e-11 
- -2.114e-01  2.911e-01  2.290e-08  4.507e+00  1.940e-02 
- -1.478e-03  2.564e-03 -4.701e-11  1.940e-02  1.799e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32749   1.000 -0.264 -0.000 -0.265 -0.294
-        2  0.57875  -0.264  1.000  0.000  0.409  0.570
-        3  0.00038  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68487  -0.265  0.409  0.000  1.000  0.681
-        5  0.75478  -0.294  0.570 -0.000  0.681  1.000
-400
-383.669 +- 0.37518
-21.5657 +- 0.335505
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24472.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.05856e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.09033e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.48368e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.94112e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.96270e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM MIGRAD    STATUS=CONVERGED     509 CALLS         510 TOTAL
-                     EDM=2.5866e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03031e+02   2.26519e-01   7.06422e-04  -6.24953e-01
-   2  sg_p1        9.12153e+00   3.63993e-01   2.95185e-03  -8.05301e-02
-   3  sg_p2        3.99298e+02   7.10621e-01   6.21816e-04   1.57926e-02
-   4  sg_p3        2.14947e+01   1.13267e+00   1.39396e-03  -1.73297e-02
-   5  sg_p4        6.42062e-01   4.06347e-02   2.84361e-03   2.63915e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.131e-02 -2.172e-02  2.774e-02 -8.091e-02 -2.646e-03 
- -2.172e-02  1.327e-01  1.233e-01  3.176e-01  1.317e-02 
-  2.774e-02  1.233e-01  5.050e-01  3.697e-01  1.525e-02 
- -8.091e-02  3.176e-01  3.697e-01  1.283e+00  4.116e-02 
- -2.646e-03  1.317e-02  1.525e-02  4.116e-02  1.655e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49329   1.000 -0.263  0.172 -0.315 -0.287
-        2  0.89097  -0.263  1.000  0.476  0.770  0.889
-        3  0.62717   0.172  0.476  1.000  0.459  0.527
-        4  0.89690  -0.315  0.770  0.459  1.000  0.893
-        5  0.94977  -0.287  0.889  0.527  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM HESSE     STATUS=OK             31 CALLS         541 TOTAL
-                     EDM=2.57939e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03031e+02   2.26798e-01   1.41284e-04   1.01207e-01
-   2  sg_p1        9.12153e+00   3.64169e-01   5.90369e-04   2.02560e-02
-   3  sg_p2        3.99298e+02   7.06750e-01   2.48726e-05   2.54828e+00
-   4  sg_p3        2.14947e+01   1.13406e+00   5.57583e-05  -9.89569e-01
-   5  sg_p4        6.42062e-01   4.06652e-02   5.68723e-04   2.88093e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.144e-02 -2.202e-02  2.804e-02 -8.193e-02 -2.679e-03 
- -2.202e-02  1.328e-01  1.208e-01  3.183e-01  1.319e-02 
-  2.804e-02  1.208e-01  4.995e-01  3.614e-01  1.495e-02 
- -8.193e-02  3.183e-01  3.614e-01  1.286e+00  4.125e-02 
- -2.679e-03  1.319e-02  1.495e-02  4.125e-02  1.658e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49518   1.000 -0.266  0.175 -0.319 -0.290
-        2  0.89108  -0.266  1.000  0.469  0.770  0.889
-        3  0.62183   0.175  0.469  1.000  0.451  0.520
-        4  0.89717  -0.319  0.770  0.451  1.000  0.893
-        5  0.94985  -0.290  0.889  0.520  0.893  1.000
-400
-403.031 +- 0.226798
-9.12153 +- 0.364169
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24696.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.50567e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.99560e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.90457e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.28000e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50850e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM MIGRAD    STATUS=CONVERGED     461 CALLS         462 TOTAL
-                     EDM=2.05098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03536e+02   2.36042e-01   7.27613e-04   1.38133e-01
-   2  sg_p1        9.26052e+00   3.88073e-01   3.03064e-03   3.06014e-03
-   3  sg_p2        3.99846e+02   7.05843e-01   6.16081e-04   4.24773e-01
-   4  sg_p3        2.13604e+01   1.14532e+00   1.37198e-03   1.42343e-01
-   5  sg_p4        6.36255e-01   4.36783e-02   2.89979e-03  -2.83285e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.572e-02 -2.634e-02  2.796e-02 -9.283e-02 -3.232e-03 
- -2.634e-02  1.508e-01  1.325e-01  3.480e-01  1.525e-02 
-  2.796e-02  1.325e-01  4.982e-01  3.683e-01  1.636e-02 
- -9.283e-02  3.480e-01  3.683e-01  1.312e+00  4.510e-02 
- -3.232e-03  1.525e-02  1.636e-02  4.510e-02  1.913e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.51806   1.000 -0.287  0.168 -0.343 -0.313
-        2  0.90009  -0.287  1.000  0.483  0.782  0.898
-        3  0.63614   0.168  0.483  1.000  0.456  0.530
-        4  0.90455  -0.343  0.782  0.456  1.000  0.900
-        5  0.95487  -0.313  0.898  0.530  0.900  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM HESSE     STATUS=OK             31 CALLS         493 TOTAL
-                     EDM=2.03888e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03536e+02   2.36409e-01   1.45523e-04   1.18130e-01
-   2  sg_p1        9.26052e+00   3.89977e-01   1.21225e-04   4.34340e-02
-   3  sg_p2        3.99846e+02   7.03519e-01   1.23216e-04   2.54251e+00
-   4  sg_p3        2.13604e+01   1.15130e+00   5.48791e-05  -9.93073e-01
-   5  sg_p4        6.36255e-01   4.39145e-02   5.79958e-04   2.76000e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.589e-02 -2.689e-02  2.803e-02 -9.446e-02 -3.293e-03 
- -2.689e-02  1.523e-01  1.317e-01  3.524e-01  1.543e-02 
-  2.803e-02  1.317e-01  4.949e-01  3.651e-01  1.624e-02 
- -9.446e-02  3.524e-01  3.651e-01  1.326e+00  4.564e-02 
- -3.293e-03  1.543e-02  1.624e-02  4.564e-02  1.934e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.52024   1.000 -0.291  0.169 -0.347 -0.317
-        2  0.90112  -0.291  1.000  0.480  0.784  0.899
-        3  0.63303   0.169  0.480  1.000  0.451  0.525
-        4  0.90559  -0.347  0.784  0.451  1.000  0.901
-        5  0.95536  -0.317  0.899  0.525  0.901  1.000
-400
-403.536 +- 0.236409
-9.26052 +- 0.389977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24015.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.73383e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.14601e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.01620e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.59452e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.70364e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM MIGRAD    STATUS=CONVERGED     571 CALLS         572 TOTAL
-                     EDM=2.11975e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02655e+02   2.13288e-01   6.62907e-04  -4.46168e-01
-   2  sg_p1        9.23949e+00   3.37872e-01   2.75680e-03  -1.32311e-01
-   3  sg_p2        3.98219e+02   8.68178e-01   7.02928e-04   2.98040e-01
-   4  sg_p3        2.22778e+01   1.33749e+00   1.59705e-03  -1.34034e-01
-   5  sg_p4        6.87624e-01   3.80009e-02   2.77016e-03   9.90234e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.549e-02 -1.871e-02  2.077e-02 -9.028e-02 -2.314e-03 
- -1.871e-02  1.143e-01  1.614e-01  3.481e-01  1.139e-02 
-  2.077e-02  1.614e-01  7.538e-01  6.352e-01  2.015e-02 
- -9.028e-02  3.481e-01  6.352e-01  1.790e+00  4.538e-02 
- -2.314e-03  1.139e-02  2.015e-02  4.538e-02  1.447e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48247   1.000 -0.259  0.112 -0.316 -0.285
-        2  0.88740  -0.259  1.000  0.550  0.770  0.886
-        3  0.68165   0.112  0.550  1.000  0.547  0.610
-        4  0.89573  -0.316  0.770  0.547  1.000  0.892
-        5  0.94802  -0.285  0.886  0.610  0.892  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM HESSE     STATUS=OK             31 CALLS         603 TOTAL
-                     EDM=2.11621e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02655e+02   2.13549e-01   1.32581e-04   8.86008e-02
-   2  sg_p1        9.23949e+00   3.38145e-01   5.51360e-04   3.99260e-02
-   3  sg_p2        3.98219e+02   8.63799e-01   1.40586e-04   2.55955e+00
-   4  sg_p3        2.22778e+01   1.33974e+00   6.38820e-05  -9.69500e-01
-   5  sg_p4        6.87624e-01   3.80543e-02   5.54033e-04   3.84665e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.560e-02 -1.897e-02  2.093e-02 -9.145e-02 -2.344e-03 
- -1.897e-02  1.145e-01  1.594e-01  3.492e-01  1.142e-02 
-  2.093e-02  1.594e-01  7.462e-01  6.264e-01  1.990e-02 
- -9.145e-02  3.492e-01  6.264e-01  1.796e+00  4.554e-02 
- -2.344e-03  1.142e-02  1.990e-02  4.554e-02  1.451e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48441   1.000 -0.263  0.113 -0.320 -0.288
-        2  0.88760  -0.263  1.000  0.545  0.770  0.886
-        3  0.67765   0.113  0.545  1.000  0.541  0.605
-        4  0.89610  -0.320  0.770  0.541  1.000  0.892
-        5  0.94817  -0.288  0.886  0.605  0.892  1.000
-400
-402.655 +- 0.213549
-9.23949 +- 0.338145
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23933.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.00563e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.26149e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.57290e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.98719e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.58184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23482 FROM MIGRAD    STATUS=CONVERGED     425 CALLS         426 TOTAL
-                     EDM=1.98551e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03064e+02   2.30766e-01   4.51369e-05   5.86157e-01
-   2  sg_p1        9.18055e+00   3.67314e-01  -4.43730e-04   8.55470e-03
-   3  sg_p2        3.99566e+02   7.08192e-01  -8.00128e-05  -4.66991e-01
-   4  sg_p3        2.13892e+01   1.12890e+00   4.69804e-04  -1.79727e-01
-   5  sg_p4        6.36669e-01   4.03843e-02   7.38905e-05   1.36445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.325e-02 -2.904e-02  2.726e-02 -9.686e-02 -3.527e-03 
- -2.904e-02  1.351e-01  1.202e-01  3.188e-01  1.315e-02 
-  2.726e-02  1.202e-01  5.015e-01  3.501e-01  1.456e-02 
- -9.686e-02  3.188e-01  3.501e-01  1.275e+00  4.101e-02 
- -3.527e-03  1.315e-02  1.456e-02  4.101e-02  1.635e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.56644   1.000 -0.342  0.167 -0.372 -0.378
-        2  0.88731  -0.342  1.000  0.462  0.768  0.885
-        3  0.64043   0.167  0.462  1.000  0.438  0.509
-        4  0.90083  -0.372  0.768  0.438  1.000  0.898
-        5  0.95189  -0.378  0.885  0.509  0.898  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23482 FROM HESSE     STATUS=OK             35 CALLS         461 TOTAL
-                     EDM=5.54045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03064e+02   2.33269e-01   7.19455e-04   1.02309e-01
-   2  sg_p1        9.18055e+00   3.92591e-01   3.01012e-03   3.00958e-02
-   3  sg_p2        3.99566e+02   7.11832e-01   6.13401e-04   2.54546e+00
-   4  sg_p3        2.13892e+01   1.16905e+00   1.37125e-03  -9.92320e-01
-   5  sg_p4        6.36669e-01   4.39485e-02   2.87997e-03   2.76861e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.442e-02 -2.298e-02  3.133e-02 -8.326e-02 -2.828e-03 
- -2.298e-02  1.543e-01  1.349e-01  3.609e-01  1.554e-02 
-  3.133e-02  1.349e-01  5.067e-01  3.816e-01  1.648e-02 
- -8.326e-02  3.609e-01  3.816e-01  1.367e+00  4.638e-02 
- -2.828e-03  1.554e-02  1.648e-02  4.638e-02  1.937e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49395   1.000 -0.251  0.189 -0.305 -0.275
-        2  0.90095  -0.251  1.000  0.482  0.786  0.899
-        3  0.63094   0.189  0.482  1.000  0.459  0.526
-        4  0.90514  -0.305  0.786  0.459  1.000  0.901
-        5  0.95480  -0.275  0.899  0.526  0.901  1.000
-400
-403.064 +- 0.233269
-9.18055 +- 0.392591
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24885.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.11264e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.79480e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39340e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.92985e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.63355e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM MIGRAD    STATUS=CONVERGED     428 CALLS         429 TOTAL
-                     EDM=7.26443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02955e+02   2.19114e-01   6.87184e-04  -4.52991e-01
-   2  sg_p1        9.16571e+00   3.57674e-01   2.86480e-03  -1.28599e-01
-   3  sg_p2        3.99199e+02   7.40925e-01   6.46031e-04   5.84783e-01
-   4  sg_p3        2.16431e+01   1.21207e+00   1.45003e-03  -5.04696e-01
-   5  sg_p4        6.62907e-01   4.05793e-02   2.83164e-03   1.71367e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.801e-02 -2.192e-02  2.514e-02 -8.718e-02 -2.692e-03 
- -2.192e-02  1.281e-01  1.292e-01  3.393e-01  1.300e-02 
-  2.514e-02  1.292e-01  5.490e-01  4.252e-01  1.618e-02 
- -8.718e-02  3.393e-01  4.252e-01  1.470e+00  4.429e-02 
- -2.692e-03  1.300e-02  1.618e-02  4.429e-02  1.651e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49883   1.000 -0.280  0.155 -0.328 -0.302
-        2  0.89599  -0.280  1.000  0.487  0.782  0.894
-        3  0.63326   0.155  0.487  1.000  0.473  0.538
-        4  0.90259  -0.328  0.782  0.473  1.000  0.899
-        5  0.95237  -0.302  0.894  0.538  0.899  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM HESSE     STATUS=OK             31 CALLS         460 TOTAL
-                     EDM=7.27657e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02955e+02   2.19385e-01   1.37437e-04   9.86503e-02
-   2  sg_p1        9.16571e+00   3.58424e-01   5.72960e-04   2.76226e-02
-   3  sg_p2        3.99199e+02   7.37765e-01   1.29206e-04   2.54932e+00
-   4  sg_p3        2.16431e+01   1.21551e+00   2.90006e-04  -9.85719e-01
-   5  sg_p4        6.62907e-01   4.06836e-02   5.66328e-04   3.31874e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.813e-02 -2.225e-02  2.533e-02 -8.836e-02 -2.729e-03 
- -2.225e-02  1.286e-01  1.275e-01  3.414e-01  1.307e-02 
-  2.533e-02  1.275e-01  5.443e-01  4.191e-01  1.598e-02 
- -8.836e-02  3.414e-01  4.191e-01  1.478e+00  4.455e-02 
- -2.729e-03  1.307e-02  1.598e-02  4.455e-02  1.659e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50069   1.000 -0.283  0.157 -0.331 -0.305
-        2  0.89645  -0.283  1.000  0.482  0.783  0.895
-        3  0.62918   0.157  0.482  1.000  0.467  0.532
-        4  0.90317  -0.331  0.783  0.467  1.000  0.900
-        5  0.95262  -0.305  0.895  0.532  0.900  1.000
-400
-402.955 +- 0.219385
-9.16571 +- 0.358424
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22933.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.87100e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.93992e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39002e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.82300e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50242e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM MIGRAD    STATUS=CONVERGED     449 CALLS         450 TOTAL
-                     EDM=1.18063e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.33943e-01   7.06213e-04   9.04520e-02
-   2  sg_p1        9.10686e+00   3.76352e-01   2.94856e-03  -2.29097e-02
-   3  sg_p2        3.99344e+02   7.27483e-01   6.18170e-04  -1.42732e-01
-   4  sg_p3        2.14204e+01   1.15968e+00   1.38769e-03   7.24703e-02
-   5  sg_p4        6.41123e-01   4.21101e-02   2.84478e-03  -3.40374e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.473e-02 -2.306e-02  3.001e-02 -8.509e-02 -2.816e-03 
- -2.306e-02  1.418e-01  1.295e-01  3.363e-01  1.412e-02 
-  3.001e-02  1.295e-01  5.292e-01  3.838e-01  1.605e-02 
- -8.509e-02  3.363e-01  3.838e-01  1.345e+00  4.369e-02 
- -2.816e-03  1.412e-02  1.605e-02  4.369e-02  1.778e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49289   1.000 -0.262  0.176 -0.314 -0.285
-        2  0.89116  -0.262  1.000  0.473  0.770  0.889
-        3  0.62460   0.176  0.473  1.000  0.455  0.523
-        4  0.89709  -0.314  0.770  0.455  1.000  0.893
-        5  0.94991  -0.285  0.889  0.523  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM HESSE     STATUS=OK             31 CALLS         481 TOTAL
-                     EDM=1.18704e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.34247e-01   1.41243e-04   1.01255e-01
-   2  sg_p1        9.10686e+00   3.78028e-01   1.17943e-04   1.78107e-02
-   3  sg_p2        3.99344e+02   7.25174e-01   1.23634e-04   2.54779e+00
-   4  sg_p3        2.14204e+01   1.16522e+00   5.55076e-05  -9.91505e-01
-   5  sg_p4        6.41123e-01   4.23208e-02   5.68957e-04   2.86134e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.487e-02 -2.352e-02  3.007e-02 -8.655e-02 -2.868e-03 
- -2.352e-02  1.431e-01  1.286e-01  3.403e-01  1.427e-02 
-  3.007e-02  1.286e-01  5.259e-01  3.804e-01  1.593e-02 
- -8.655e-02  3.403e-01  3.804e-01  1.358e+00  4.417e-02 
- -2.868e-03  1.427e-02  1.593e-02  4.417e-02  1.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49488   1.000 -0.265  0.177 -0.317 -0.289
-        2  0.89218  -0.265  1.000  0.469  0.772  0.890
-        3  0.62148   0.177  0.469  1.000  0.450  0.519
-        4  0.89813  -0.317  0.772  0.450  1.000  0.894
-        5  0.95042  -0.289  0.890  0.519  0.894  1.000
-400
-403.032 +- 0.234247
-9.10686 +- 0.378028
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26088.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.25521e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.24913e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.58204e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.06494e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.44374e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.85098 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (43592.9) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=411.751, sg_p1=10.1393, sg_p2=221.646, sg_p3=12.3173, sg_p4=0.392797
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=352.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=355.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=358.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=361.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=364.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=367.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=370.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=373.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=376.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=379.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=382.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=385.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-    ... (remaining 23 messages suppressed)
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM MIGRAD    STATUS=CONVERGED     410 CALLS         411 TOTAL
-                     EDM=8.53169e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.19508e-01   7.06641e-04   2.77604e-01
-   2  sg_p1        9.13654e+00   3.52245e-01   2.95146e-03   6.85002e-02
-   3  sg_p2        3.99251e+02   6.94391e-01   6.24869e-04  -5.23482e-02
-   4  sg_p3        2.15673e+01   1.10701e+00   1.40379e-03   1.05606e-01
-   5  sg_p4        6.42963e-01   3.92422e-02   2.83913e-03  -5.31174e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.818e-02 -2.053e-02  2.561e-02 -7.720e-02 -2.495e-03 
- -2.053e-02  1.242e-01  1.174e-01  3.004e-01  1.231e-02 
-  2.561e-02  1.174e-01  4.822e-01  3.562e-01  1.450e-02 
- -7.720e-02  3.004e-01  3.562e-01  1.226e+00  3.884e-02 
- -2.495e-03  1.231e-02  1.450e-02  3.884e-02  1.543e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49407   1.000 -0.265  0.168 -0.318 -0.289
-        2  0.89076  -0.265  1.000  0.480  0.770  0.889
-        3  0.62968   0.168  0.480  1.000  0.463  0.531
-        4  0.89677  -0.318  0.770  0.463  1.000  0.893
-        5  0.94966  -0.289  0.889  0.531  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM HESSE     STATUS=OK             31 CALLS         442 TOTAL
-                     EDM=8.53668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.19804e-01   1.41328e-04   1.01235e-01
-   2  sg_p1        9.13654e+00   3.53820e-01   1.18058e-04   2.27585e-02
-   3  sg_p2        3.99251e+02   6.92171e-01   1.24974e-04   2.54877e+00
-   4  sg_p3        2.15673e+01   1.11233e+00   5.61518e-05  -9.87685e-01
-   5  sg_p4        6.42963e-01   3.94399e-02   5.67827e-04   2.89973e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.831e-02 -2.094e-02  2.565e-02 -7.854e-02 -2.542e-03 
- -2.094e-02  1.253e-01  1.167e-01  3.040e-01  1.244e-02 
-  2.565e-02  1.167e-01  4.791e-01  3.532e-01  1.440e-02 
- -7.854e-02  3.040e-01  3.532e-01  1.238e+00  3.927e-02 
- -2.542e-03  1.244e-02  1.440e-02  3.927e-02  1.559e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49612   1.000 -0.269  0.169 -0.321 -0.293
-        2  0.89179  -0.269  1.000  0.476  0.772  0.890
-        3  0.62659   0.169  0.476  1.000  0.459  0.527
-        4  0.89781  -0.321  0.772  0.459  1.000  0.894
-        5  0.95017  -0.293  0.890  0.527  0.894  1.000
-400
-403.032 +- 0.219804
-9.13654 +- 0.35382
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 403.031 +- 0.226798 (stat) - 0.376479 + 0.504637 (syst); -0.393186/+0.517221 (total)
-   Uncertainty on sg_p1 = 9.12153 +- 0.364169 (stat) - 0.014669 + 0.138994 (syst); -0.182675/+0.229073 (total)
-   Uncertainty on sg_p2 = 399.298 +- 0.70675 (stat) - 1.07894 + 0.548609 (syst); -1.13534/+0.652569 (total)
-   Uncertainty on sg_p3 = 21.4947 +- 1.13406 (stat) - 0.134294 + 0.783059 (syst); -0.582718/+0.966802 (total)
-   Uncertainty on sg_p4 = 0.642062 +- 0.0406652 (stat) - 0.00580743 + 0.0455621 (syst); -0.0211457/+0.049893 (total) 
-   === Baseline plot === </br>
-   norm = 790.651
-JEC     lnN   1.00381  -
-JER     lnN   1.01925  -
-btag    lnN   1.06523  -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out
deleted file mode 100644
index 04476bb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,5 +0,0 @@
-
- --- MaxLikelihoodFit ---
-Fit failed.
-nll S+B -> -293.488  nll B -> -0.000682016
-Done in 1.18 min (cpu), 1.18 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out
deleted file mode 100644
index 1225ddd..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.156680:	q_mu = 3.85039	q_A  = 3.86069	CLsb = 0.02487	CLb  = 0.50105	CLs  = 0.04963
-
- -- Asymptotic -- 
-Observed Limit: r < 0.1567
-Expected  2.5%: r < 4.2156
-Expected 16.0%: r < 4.2281
-Expected 50.0%: r < 4.2656
-Expected 84.0%: r < 4.2826
-Expected 97.5%: r < 4.2996
-
-Done in 1.45 min (cpu), 1.45 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt
deleted file mode 100644
index 1b07531..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1083.26 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06507    -
-JER       lnN     1.01521   - 
-JEC       lnN     1.00732   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01846991095   -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/pdf.log
deleted file mode 100644
index 823f341..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.42219 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=3.69018e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.61838e+01   2.04083e+00   2.68103e-03  -9.45046e-06
-   2  Mean         1.00001e+00   2.14045e-03   3.36992e-06  -5.72729e-03
-   3  Sigma        1.84699e-02   1.55576e-03   3.84421e-05  -9.86497e-04
-1.00001004927 +/- 0.00214044725813
-0.0184699109466 +/- 0.00155575701095
-PDF lnN 1.01846991095
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/signal450_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/signal450_sig.log
deleted file mode 100644
index 758dffb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_crystal_1_285_624/signal450_sig.log
+++ /dev/null
@@ -1,849 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   9.40956e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.15795e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   5.60158e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.43253e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.02042e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=3.59834e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.33700e+02   5.20779e-01   1.28024e-03  -4.50888e-02
-   2  sg_p1        2.45512e+01   4.32325e-01   2.13929e-03   2.15071e-02
-   3  sg_p2        4.10000e+02   7.56422e-01   1.62500e-02** at limit **
-   4  sg_p3        9.59075e+01   9.76509e+00   3.57927e-02  -4.80697e-03
-   5  sg_p4        8.98300e-01   1.09856e-02   2.31920e-03   1.35348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.712e-01 -3.295e-02 -7.320e-06 -1.029e+00 -1.066e-03 
- -3.295e-02  1.870e-01  4.421e-06  1.512e+00  2.106e-03 
- -7.320e-06  4.421e-06  3.900e-05  3.605e-04  1.357e-07 
- -1.029e+00  1.512e+00  3.605e-04  1.055e+02  6.647e-02 
- -1.066e-03  2.106e-03  1.357e-07  6.647e-02  1.207e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22083   1.000 -0.146 -0.002 -0.192 -0.186
-        2  0.45738  -0.146  1.000  0.002  0.340  0.443
-        3  0.00601  -0.002  0.002  1.000  0.006  0.002
-        4  0.60064  -0.192  0.340  0.006  1.000  0.589
-        5  0.64515  -0.186  0.443  0.002  0.589  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=3.62828e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.33700e+02   5.22464e-01   2.56047e-04  -3.28756e-01
-   2  sg_p1        2.45512e+01   4.36897e-01   8.55715e-05   3.54316e-01
-   3  sg_p2        4.10000e+02   7.56439e-01   3.24999e-03  -1.56999e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.59075e+01   1.00551e+01   1.43171e-03   1.14101e+00
-   5  sg_p4        8.98300e-01   1.13202e-02   4.63840e-04   9.21649e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.730e-01 -3.575e-02 -2.151e-06 -1.151e+00 -1.179e-03 
- -3.575e-02  1.909e-01  1.441e-06  1.696e+00  2.279e-03 
- -2.151e-06  1.441e-06  3.900e-05  1.093e-04  4.737e-08 
- -1.151e+00  1.696e+00  1.093e-04  1.126e+02  7.452e-02 
- -1.179e-03  2.279e-03  4.737e-08  7.452e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23428   1.000 -0.157 -0.001 -0.208 -0.199
-        2  0.47504  -0.157  1.000  0.001  0.366  0.461
-        3  0.00175  -0.001  0.001  1.000  0.002  0.001
-        4  0.63167  -0.208  0.366  0.002  1.000  0.620
-        5  0.67100  -0.199  0.461  0.001  0.620  1.000
-450
-433.7 +- 0.522464
-24.5512 +- 0.436897
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14967 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   7.30094e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -7.17086e+01
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   4.92262e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   1.24799e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.52207e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM MIGRAD    STATUS=CONVERGED     225 CALLS         226 TOTAL
-                     EDM=1.40963e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.35880e+02   5.28453e-01   1.25742e-03   3.65467e-02
-   2  sg_p1        2.47804e+01   4.36143e-01   2.15058e-03   8.90109e-02
-   3  sg_p2        4.10000e+02   8.41699e-01   1.71227e-02** at limit **
-   4  sg_p3        9.34154e+01   9.89175e+00   2.81029e-02   3.92610e-03
-   5  sg_p4        9.04757e-01   1.10728e-02   2.34320e-03  -1.13912e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.793e-01 -4.062e-02 -3.574e-06 -1.243e+00 -1.334e-03 
- -4.062e-02  1.903e-01  1.963e-06  1.596e+00  2.205e-03 
- -3.574e-06  1.963e-06  1.004e-05  1.505e-04  5.291e-08 
- -1.243e+00  1.596e+00  1.505e-04  1.043e+02  6.945e-02 
- -1.334e-03  2.205e-03  5.291e-08  6.945e-02  1.227e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26417   1.000 -0.176 -0.002 -0.230 -0.228
-        2  0.47132  -0.176  1.000  0.001  0.358  0.457
-        3  0.00513  -0.002  0.001  1.000  0.005  0.002
-        4  0.62620  -0.230  0.358  0.005  1.000  0.614
-        5  0.66724  -0.228  0.457  0.002  0.614  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM HESSE     STATUS=OK             31 CALLS         257 TOTAL
-                     EDM=1.45125e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.35880e+02   5.30103e-01   2.51483e-04  -2.63606e-01
-   2  sg_p1        2.47804e+01   4.39593e-01   4.30116e-04   3.69632e-01
-   3  sg_p2        4.10000e+02   8.41739e-01   3.42455e-03  -1.57118e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.34154e+01   1.01144e+01   1.12412e-03   1.02300e+00
-   5  sg_p4        9.04757e-01   1.13218e-02   9.37280e-05   9.43325e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.810e-01 -4.308e-02 -6.126e-07 -1.344e+00 -1.432e-03 
- -4.308e-02  1.933e-01  3.606e-07  1.730e+00  2.336e-03 
- -6.126e-07  3.606e-07  1.004e-05  2.633e-05  1.041e-08 
- -1.344e+00  1.730e+00  2.633e-05  1.094e+02  7.528e-02 
- -1.432e-03  2.336e-03  1.041e-08  7.528e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27490   1.000 -0.185 -0.000 -0.242 -0.238
-        2  0.48405  -0.185  1.000  0.000  0.376  0.469
-        3  0.00087  -0.000  0.000  1.000  0.001  0.000
-        4  0.64751  -0.242  0.376  0.001  1.000  0.636
-        5  0.68509  -0.238  0.469  0.000  0.636  1.000
-450
-435.88 +- 0.530103
-24.7804 +- 0.439593
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14989.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   1.09913e+03
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.79281e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   6.15691e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.35305e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.43184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM MIGRAD    STATUS=CONVERGED     259 CALLS         260 TOTAL
-                     EDM=2.88948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.31562e+02   5.09368e-01   1.30052e-03  -5.36209e-02
-   2  sg_p1        2.44193e+01   3.99415e-01   2.10037e-03   1.06473e-02
-   3  sg_p2        4.10000e+02   7.22690e-01   1.57718e-02** at limit **
-   4  sg_p3        1.00000e+02   1.55471e+01   7.04637e-02** at limit **
-   5  sg_p4        8.97810e-01   8.75371e-03   2.28074e-03   2.04575e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.470e-02 -3.574e-07  3.497e-04 -3.281e-04 
- -1.470e-02  1.596e-01 -3.286e-08 -5.660e-04  1.020e-03 
- -3.574e-07 -3.286e-08  5.312e-07 -1.926e-08 -7.103e-09 
-  3.497e-04 -5.660e-04 -1.926e-08  1.262e-03 -2.615e-05 
- -3.281e-04  1.020e-03 -7.103e-09 -2.615e-05  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09157   1.000 -0.072 -0.001  0.019 -0.074
-        2  0.29639  -0.072  1.000 -0.000 -0.040  0.292
-        3  0.00174  -0.001 -0.000  1.000 -0.001 -0.001
-        4  0.08650   0.019 -0.040 -0.001  1.000 -0.084
-        5  0.30486  -0.074  0.292 -0.001 -0.084  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM HESSE     STATUS=OK             31 CALLS         291 TOTAL
-                     EDM=2.76365e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.31562e+02   5.09297e-01   2.60104e-04  -3.94063e-01
-   2  sg_p1        2.44193e+01   3.99210e-01   8.40147e-05   3.45541e-01
-   3  sg_p2        4.10000e+02   7.22718e-01   3.15436e-03  -1.57070e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        1.00000e+02   1.57628e+01   1.40927e-02   1.56988e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   5  sg_p4        8.97810e-01   8.72528e-03   9.12295e-05   9.20031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.594e-01 -1.474e-02 -7.385e-08  6.324e-05 -3.205e-04 
- -1.474e-02  1.594e-01 -8.717e-09 -1.029e-04  1.011e-03 
- -7.385e-08 -8.717e-09  5.312e-07 -7.301e-10 -1.575e-09 
-  6.324e-05 -1.029e-04 -7.301e-10  1.280e-03 -4.742e-06 
- -3.205e-04  1.011e-03 -1.575e-09 -4.742e-06  7.615e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09005   1.000 -0.072 -0.000  0.003 -0.072
-        2  0.29480  -0.072  1.000 -0.000 -0.007  0.290
-        3  0.00033  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.01563   0.003 -0.007 -0.000  1.000 -0.015
-        5  0.29498  -0.072  0.290 -0.000 -0.015  1.000
-450
-431.562 +- 0.509297
-24.4193 +- 0.39921
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12740.9 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.59626e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.90307e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.30862e+02
-   4  sg_p3        3.11611e+01   1.40000e+01  -7.72180e-01   1.25776e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.90098e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.72857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53121e+02   3.12103e-01   7.60916e-04  -1.37805e-01
-   2  sg_p1        1.32664e+01   3.51765e-01   1.66864e-03  -1.59663e-01
-   3  sg_p2        4.41850e+02   2.88341e+00   3.42150e-03  -4.30161e-02
-   4  sg_p3        3.99520e+01   3.27521e+00   2.78644e-03  -1.95155e-02
-   5  sg_p4        8.69549e-01   2.03464e-02   2.42525e-03   7.02356e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.741e-02 -2.019e-02 -5.897e-02 -2.380e-01 -1.352e-03 
- -2.019e-02  1.238e-01 -4.014e-01  6.784e-01  5.251e-03 
- -5.897e-02 -4.014e-01  8.322e+00 -4.133e+00 -2.949e-02 
- -2.380e-01  6.784e-01 -4.133e+00  1.074e+01  5.122e-02 
- -1.352e-03  5.251e-03 -2.949e-02  5.122e-02  4.145e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32114   1.000 -0.184 -0.066 -0.233 -0.213
-        2  0.73542  -0.184  1.000 -0.395  0.588  0.733
-        3  0.54335  -0.066 -0.395  1.000 -0.437 -0.502
-        4  0.77539  -0.233  0.588 -0.437  1.000  0.768
-        5  0.85259  -0.213  0.733 -0.502  0.768  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=1.73002e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53121e+02   3.12202e-01   1.52183e-04   1.04231e-01
-   2  sg_p1        1.32664e+01   3.54275e-01   3.33728e-04  -6.67445e-02
-   3  sg_p2        4.41850e+02   2.90658e+00   6.84300e-04   1.24877e-01
-   4  sg_p3        3.99520e+01   3.31061e+00   1.11458e-04  -6.09081e-01
-   5  sg_p4        8.69549e-01   2.05823e-02   4.85050e-04   8.31731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.747e-02 -2.060e-02 -5.492e-02 -2.421e-01 -1.378e-03 
- -2.060e-02  1.256e-01 -4.183e-01  6.988e-01  5.382e-03 
- -5.492e-02 -4.183e-01  8.456e+00 -4.334e+00 -3.074e-02 
- -2.421e-01  6.988e-01 -4.334e+00  1.097e+01  5.275e-02 
- -1.378e-03  5.382e-03 -3.074e-02  5.275e-02  4.242e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32202   1.000 -0.186 -0.060 -0.234 -0.214
-        2  0.73982  -0.186  1.000 -0.406  0.595  0.738
-        3  0.55356  -0.060 -0.406  1.000 -0.450 -0.513
-        4  0.78084  -0.234  0.595 -0.450  1.000  0.773
-        5  0.85624  -0.214  0.738 -0.513  0.773  1.000
-450
-453.121 +- 0.312202
-13.2664 +- 0.354275
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.2 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.71963e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.47720e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.59810e+02
-   4  sg_p3        3.20356e+01   1.40000e+01  -7.54886e-01   1.25318e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.92447e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=5.05245e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53816e+02   3.21132e-01   7.83772e-04  -7.95633e-02
-   2  sg_p1        1.33997e+01   3.69195e-01   1.71799e-03   1.80096e-01
-   3  sg_p2        4.44337e+02   2.53515e+00   3.11461e-03  -5.82291e-02
-   4  sg_p3        3.80604e+01   2.91065e+00   2.47607e-03   7.49358e-02
-   5  sg_p4        8.58912e-01   2.26324e-02   2.50700e-03  -6.85706e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.031e-01 -2.126e-02 -8.734e-02 -2.148e-01 -1.521e-03 
- -2.126e-02  1.364e-01 -3.383e-01  6.405e-01  6.246e-03 
- -8.734e-02 -3.383e-01  6.432e+00 -2.789e+00 -2.624e-02 
- -2.148e-01  6.405e-01 -2.789e+00  8.480e+00  5.167e-02 
- -1.521e-03  6.246e-03 -2.624e-02  5.167e-02  5.129e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33218   1.000 -0.179 -0.107 -0.230 -0.209
-        2  0.74782  -0.179  1.000 -0.361  0.596  0.747
-        3  0.50601  -0.107 -0.361  1.000 -0.378 -0.457
-        4  0.78747  -0.230  0.596 -0.378  1.000  0.784
-        5  0.86569  -0.209  0.747 -0.457  0.784  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=5.14272e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53816e+02   3.21170e-01   1.56754e-04   1.27552e-01
-   2  sg_p1        1.33997e+01   3.71529e-01   3.43597e-04  -5.45997e-02
-   3  sg_p2        4.44337e+02   2.55137e+00   6.22923e-04   1.70589e-01
-   4  sg_p3        3.80604e+01   2.93737e+00   9.90429e-05  -6.42423e-01
-   5  sg_p4        8.58912e-01   2.28649e-02   5.01401e-04   8.00670e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.032e-01 -2.159e-02 -8.447e-02 -2.173e-01 -1.542e-03 
- -2.159e-02  1.381e-01 -3.519e-01  6.569e-01  6.381e-03 
- -8.447e-02 -3.519e-01  6.514e+00 -2.922e+00 -2.730e-02 
- -2.173e-01  6.569e-01 -2.922e+00  8.636e+00  5.298e-02 
- -1.542e-03  6.381e-03 -2.730e-02  5.298e-02  5.236e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33250   1.000 -0.181 -0.103 -0.230 -0.210
-        2  0.75151  -0.181  1.000 -0.371  0.602  0.750
-        3  0.51526  -0.103 -0.371  1.000 -0.390 -0.467
-        4  0.79182  -0.230  0.602 -0.390  1.000  0.788
-        5  0.86862  -0.210  0.750 -0.467  0.788  1.000
-450
-453.816 +- 0.32117
-13.3997 +- 0.371529
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12450.5 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -7.89096e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.29312e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.41083e+02
-   4  sg_p3        2.97404e+01   1.40000e+01  -8.00916e-01   5.32420e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.78505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=9.81901e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.52649e+02   2.99257e-01   7.27117e-04  -1.85651e-01
-   2  sg_p1        1.29215e+01   3.26230e-01   1.60240e-03  -1.04599e-01
-   3  sg_p2        4.39500e+02   3.30234e+00   3.79402e-03  -2.47036e-02
-   4  sg_p3        4.23678e+01   3.70551e+00   3.18328e-03  -2.16927e-02
-   5  sg_p4        8.78387e-01   1.75288e-02   2.31775e-03   5.63843e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.956e-02 -1.634e-02 -3.809e-02 -2.386e-01 -1.021e-03 
- -1.634e-02  1.065e-01 -4.382e-01  6.785e-01  4.010e-03 
- -3.809e-02 -4.382e-01  1.092e+01 -5.893e+00 -3.008e-02 
- -2.386e-01  6.785e-01 -5.893e+00  1.375e+01  4.755e-02 
- -1.021e-03  4.010e-03 -3.008e-02  4.755e-02  3.076e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29182   1.000 -0.167 -0.039 -0.215 -0.195
-        2  0.70607  -0.167  1.000 -0.406  0.561  0.701
-        3  0.56523  -0.039 -0.406  1.000 -0.481 -0.519
-        4  0.74887  -0.215  0.561 -0.481  1.000  0.731
-        5  0.82206  -0.195  0.701 -0.519  0.731  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM HESSE     STATUS=OK             31 CALLS         249 TOTAL
-                     EDM=9.82123e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.52649e+02   2.99376e-01   1.45423e-04   8.84175e-02
-   2  sg_p1        1.29215e+01   3.28560e-01   3.20481e-04  -9.82038e-02
-   3  sg_p2        4.39500e+02   3.33339e+00   7.58805e-04   8.19031e-02
-   4  sg_p3        4.23678e+01   3.74990e+00   1.27331e-04  -5.67592e-01
-   5  sg_p4        8.78387e-01   1.77374e-02   4.63550e-04   8.58362e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.963e-02 -1.673e-02 -3.321e-02 -2.436e-01 -1.045e-03 
- -1.673e-02  1.080e-01 -4.573e-01  7.011e-01  4.116e-03 
- -3.321e-02 -4.573e-01  1.113e+01 -6.187e+00 -3.140e-02 
- -2.436e-01  7.011e-01 -6.187e+00  1.408e+01  4.914e-02 
- -1.045e-03  4.116e-03 -3.140e-02  4.914e-02  3.149e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29306   1.000 -0.170 -0.033 -0.217 -0.197
-        2  0.71107  -0.170  1.000 -0.417  0.569  0.706
-        3  0.57630  -0.033 -0.417  1.000 -0.494 -0.531
-        4  0.75573  -0.217  0.569 -0.494  1.000  0.738
-        5  0.82667  -0.197  0.706 -0.531  0.738  1.000
-450
-452.649 +- 0.299376
-12.9215 +- 0.32856
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12485 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.28524e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.76932e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.07179e+02
-   4  sg_p3        3.15199e+01   1.40000e+01  -7.65049e-01   1.17013e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.75418e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=8.2003e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53041e+02   3.16233e-01   7.67663e-04  -4.53747e-01
-   2  sg_p1        1.34606e+01   3.60067e-01   1.68094e-03  -2.56821e-01
-   3  sg_p2        4.42647e+02   3.03755e+00   3.65255e-03  -7.93949e-02
-   4  sg_p3        4.13701e+01   3.70699e+00   3.03411e-03  -1.62102e-02
-   5  sg_p4        8.74490e-01   2.02974e-02   2.42550e-03   1.44185e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.000e-01 -1.902e-02 -8.059e-02 -2.487e-01 -1.247e-03 
- -1.902e-02  1.297e-01 -4.096e-01  8.024e-01  5.385e-03 
- -8.059e-02 -4.096e-01  9.236e+00 -4.749e+00 -2.911e-02 
- -2.487e-01  8.024e-01 -4.749e+00  1.376e+01  5.850e-02 
- -1.247e-03  5.385e-03 -2.911e-02  5.850e-02  4.125e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30405   1.000 -0.167 -0.084 -0.212 -0.194
-        2  0.73858  -0.167  1.000 -0.374  0.601  0.736
-        3  0.51688  -0.084 -0.374  1.000 -0.421 -0.472
-        4  0.78361  -0.212  0.601 -0.421  1.000  0.776
-        5  0.85381  -0.194  0.736 -0.472  0.776  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM HESSE     STATUS=OK             31 CALLS         238 TOTAL
-                     EDM=8.28097e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53041e+02   3.16314e-01   1.53533e-04   1.01529e-01
-   2  sg_p1        1.34606e+01   3.62947e-01   3.36188e-04  -4.90533e-02
-   3  sg_p2        4.42647e+02   3.06302e+00   7.30509e-04   1.39482e-01
-   4  sg_p3        4.13701e+01   3.75314e+00   1.21364e-04  -5.84588e-01
-   5  sg_p4        8.74490e-01   2.05612e-02   4.85100e-04   8.46520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.001e-01 -1.944e-02 -7.634e-02 -2.533e-01 -1.273e-03 
- -1.944e-02  1.318e-01 -4.295e-01  8.293e-01  5.535e-03 
- -7.634e-02 -4.295e-01  9.392e+00 -5.013e+00 -3.054e-02 
- -2.533e-01  8.293e-01 -5.013e+00  1.411e+01  6.046e-02 
- -1.273e-03  5.535e-03 -3.054e-02  6.046e-02  4.233e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30482   1.000 -0.169 -0.079 -0.213 -0.196
-        2  0.74343  -0.169  1.000 -0.386  0.608  0.741
-        3  0.52851  -0.079 -0.386  1.000 -0.436 -0.484
-        4  0.78960  -0.213  0.608 -0.436  1.000  0.782
-        5  0.85785  -0.196  0.741 -0.484  0.782  1.000
-450
-453.041 +- 0.316314
-13.4606 +- 0.362947
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.1 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.34152e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.79811e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -1.07673e+03
-   4  sg_p3        2.91978e+01   1.40000e+01  -8.12117e-01  -1.15313e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.79673e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM MIGRAD    STATUS=CONVERGED     214 CALLS         215 TOTAL
-                     EDM=2.54338e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53203e+02   3.05272e-01   7.48199e-04   1.37509e-01
-   2  sg_p1        1.33442e+01   3.36784e-01   1.63030e-03  -1.73887e-01
-   3  sg_p2        4.40023e+02   3.36501e+00   3.85092e-03  -4.69572e-02
-   4  sg_p3        4.14043e+01   3.72019e+00   3.17044e-03  -1.58965e-02
-   5  sg_p4        8.85415e-01   1.84477e-02   2.39174e-03   8.69592e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.319e-02 -1.886e-02 -3.146e-02 -2.700e-01 -1.210e-03 
- -1.886e-02  1.135e-01 -4.902e-01  7.251e-01  4.482e-03 
- -3.146e-02 -4.902e-01  1.134e+01 -6.160e+00 -3.421e-02 
- -2.700e-01  7.251e-01 -6.160e+00  1.386e+01  5.193e-02 
- -1.210e-03  4.482e-03 -3.421e-02  5.193e-02  3.407e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31564   1.000 -0.183 -0.031 -0.238 -0.215
-        2  0.72421  -0.183  1.000 -0.432  0.578  0.721
-        3  0.58870  -0.031 -0.432  1.000 -0.491 -0.551
-        4  0.76796  -0.238  0.578 -0.491  1.000  0.756
-        5  0.84414  -0.215  0.721 -0.551  0.756  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM HESSE     STATUS=OK             31 CALLS         246 TOTAL
-                     EDM=2.55427e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53203e+02   3.05429e-01   1.49640e-04   1.06973e-01
-   2  sg_p1        1.33442e+01   3.39511e-01   3.26061e-04  -5.96515e-02
-   3  sg_p2        4.40023e+02   3.39967e+00   7.70184e-04   9.14550e-02
-   4  sg_p3        4.14043e+01   3.76783e+00   1.26818e-04  -5.84003e-01
-   5  sg_p4        8.85415e-01   1.86940e-02   4.78349e-04   8.80144e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.329e-02 -1.935e-02 -2.553e-02 -2.761e-01 -1.241e-03 
- -1.935e-02  1.153e-01 -5.124e-01  7.508e-01  4.612e-03 
- -2.553e-02 -5.124e-01  1.157e+01 -6.480e+00 -3.578e-02 
- -2.761e-01  7.508e-01 -6.480e+00  1.422e+01  5.377e-02 
- -1.241e-03  4.612e-03 -3.578e-02  5.377e-02  3.499e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31711   1.000 -0.187 -0.025 -0.240 -0.217
-        2  0.72945  -0.187  1.000 -0.444  0.586  0.726
-        3  0.59988  -0.025 -0.444  1.000 -0.505 -0.562
-        4  0.77464  -0.240  0.586 -0.505  1.000  0.762
-        5  0.84859  -0.217  0.726 -0.562  0.762  1.000
-450
-453.203 +- 0.305429
-13.3442 +- 0.339511
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11934 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.21817e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.66012e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.28921e+02
-   4  sg_p3        3.02910e+01   1.40000e+01  -7.89682e-01   6.24982e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.41964e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=3.59163e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53125e+02   3.22437e-01   7.59830e-04   3.14030e-01
-   2  sg_p1        1.32568e+01   3.64776e-01   1.66662e-03   1.31711e-01
-   3  sg_p2        4.41914e+02   2.96380e+00   3.40318e-03  -1.73168e-02
-   4  sg_p3        3.96954e+01   3.35557e+00   2.76524e-03  -2.51020e-02
-   5  sg_p4        8.69980e-01   2.12003e-02   2.43138e-03   2.99659e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.192e-02 -6.249e-02 -2.549e-01 -1.475e-03 
- -2.192e-02  1.331e-01 -4.296e-01  7.236e-01  5.697e-03 
- -6.249e-02 -4.296e-01  8.793e+00 -4.343e+00 -3.167e-02 
- -2.549e-01  7.236e-01 -4.343e+00  1.127e+01  5.485e-02 
- -1.475e-03  5.697e-03 -3.167e-02  5.485e-02  4.500e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32406   1.000 -0.186 -0.065 -0.235 -0.216
-        2  0.73815  -0.186  1.000 -0.397  0.591  0.736
-        3  0.54427  -0.065 -0.397  1.000 -0.436 -0.503
-        4  0.77722  -0.235  0.591 -0.436  1.000  0.770
-        5  0.85485  -0.216  0.736 -0.503  0.770  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=3.63213e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53125e+02   3.22540e-01   1.51966e-04   1.04341e-01
-   2  sg_p1        1.32568e+01   3.67383e-01   3.33325e-04  -6.76154e-02
-   3  sg_p2        4.41914e+02   2.98753e+00   6.80636e-04   1.26049e-01
-   4  sg_p3        3.96954e+01   3.39157e+00   1.10610e-04  -6.13558e-01
-   5  sg_p4        8.69980e-01   2.14457e-02   4.86276e-04   8.33011e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.236e-02 -5.816e-02 -2.592e-01 -1.503e-03 
- -2.236e-02  1.350e-01 -4.476e-01  7.452e-01  5.838e-03 
- -5.816e-02 -4.476e-01  8.934e+00 -4.553e+00 -3.300e-02 
- -2.592e-01  7.452e-01 -4.553e+00  1.152e+01  5.647e-02 
- -1.503e-03  5.838e-03 -3.300e-02  5.647e-02  4.605e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32494   1.000 -0.189 -0.060 -0.237 -0.217
-        2  0.74250  -0.189  1.000 -0.408  0.598  0.740
-        3  0.55442  -0.060 -0.408  1.000 -0.449 -0.514
-        4  0.78258  -0.237  0.598 -0.449  1.000  0.775
-        5  0.85843  -0.217  0.740 -0.514  0.775  1.000
-450
-453.125 +- 0.32254
-13.2568 +- 0.367383
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13588.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.01194e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.14820e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.36931e+02
-   4  sg_p3        3.19529e+01   1.40000e+01  -7.56508e-01   1.83311e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.40586e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=2.9635e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53119e+02   3.02295e-01   7.61866e-04  -3.75062e-01
-   2  sg_p1        1.32780e+01   3.39541e-01   1.67011e-03  -9.46376e-02
-   3  sg_p2        4.41784e+02   2.80838e+00   3.43889e-03  -7.54198e-02
-   4  sg_p3        4.02094e+01   3.20169e+00   2.80752e-03   5.20848e-02
-   5  sg_p4        8.69165e-01   1.95466e-02   2.41927e-03  -3.07790e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.139e-02 -1.864e-02 -5.556e-02 -2.229e-01 -1.243e-03 
- -1.864e-02  1.153e-01 -3.761e-01  6.379e-01  4.851e-03 
- -5.556e-02 -3.761e-01  7.894e+00 -3.947e+00 -2.754e-02 
- -2.229e-01  6.379e-01 -3.947e+00  1.026e+01  4.798e-02 
- -1.243e-03  4.851e-03 -2.754e-02  4.798e-02  3.825e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31836   1.000 -0.182 -0.065 -0.230 -0.210
-        2  0.73280  -0.182  1.000 -0.394  0.586  0.730
-        3  0.54277  -0.065 -0.394  1.000 -0.439 -0.501
-        4  0.77378  -0.230  0.586 -0.439  1.000  0.766
-        5  0.85046  -0.210  0.730 -0.501  0.766  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM HESSE     STATUS=OK             31 CALLS         237 TOTAL
-                     EDM=2.98129e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53119e+02   3.02390e-01   1.52373e-04   1.04142e-01
-   2  sg_p1        1.32780e+01   3.41962e-01   3.34022e-04  -6.56836e-02
-   3  sg_p2        4.41784e+02   2.83105e+00   6.87778e-04   1.23663e-01
-   4  sg_p3        4.02094e+01   3.23660e+00   1.12301e-04  -6.04605e-01
-   5  sg_p4        8.69165e-01   1.97739e-02   4.83854e-04   8.30589e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.144e-02 -1.903e-02 -5.175e-02 -2.268e-01 -1.268e-03 
- -1.903e-02  1.170e-01 -3.920e-01  6.571e-01  4.973e-03 
- -5.175e-02 -3.920e-01  8.022e+00 -4.140e+00 -2.871e-02 
- -2.268e-01  6.571e-01 -4.140e+00  1.049e+01  4.942e-02 
- -1.268e-03  4.973e-03 -2.871e-02  4.942e-02  3.915e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31924   1.000 -0.184 -0.060 -0.232 -0.212
-        2  0.73725  -0.184  1.000 -0.405  0.593  0.735
-        3  0.55306  -0.060 -0.405  1.000 -0.451 -0.512
-        4  0.77932  -0.232  0.593 -0.451  1.000  0.771
-        5  0.85417  -0.212  0.735 -0.512  0.771  1.000
-450
-453.119 +- 0.30239
-13.278 +- 0.341962
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 72 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 80 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 453.121 +- 0.312202 (stat) - 0.472204 + 0.694919 (syst); -0.497337/+0.712236 (total)
-   Uncertainty on sg_p1 = 13.2664 +- 0.354275 (stat) - 0.344861 + 0.194275 (syst); -0.387695/+0.262907 (total)
-   Uncertainty on sg_p2 = 441.85 +- 2.90658 (stat) - 2.35076 + 2.48654 (syst); -2.76371/+2.88009 (total)
-   Uncertainty on sg_p3 = 39.952 +- 3.31061 (stat) - 1.8916 + 2.41576 (syst); -2.5136/+2.92847 (total)
-   Uncertainty on sg_p4 = 0.869549 +- 0.0205823 (stat) - 0.0106377 + 0.015866 (syst); -0.0148009/+0.0189113 (total) 
-   === Baseline plot === </br>
-   norm = 1083.26
-JEC     lnN   1.00732  -
-JER     lnN   1.01521  -
-btag    lnN   1.06507  -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out
deleted file mode 100644
index 62924b2..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.040
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000467673  -0.000467673/+0.0427857  (68% CL)
-nll S+B -> -0.00669346  nll B -> -0.00663106
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out
deleted file mode 100644
index 8fc9ac5..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.087078:	q_mu = 3.83467	q_A  = 3.83105	CLsb = 0.02510	CLb  = 0.49963	CLs  = 0.05024
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0871
-Expected  2.5%: r < 0.0461
-Expected 16.0%: r < 0.0619
-Expected 50.0%: r < 0.0874
-Expected 84.0%: r < 0.1247
-Expected 97.5%: r < 0.1726
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt
deleted file mode 100644
index ef7832d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1083.26 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06507    -
-JER       lnN     1.01521   - 
-JEC       lnN     1.00732   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01846991095   -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/pdf.log
deleted file mode 100644
index 823f341..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=9.42219 FROM MIGRAD    STATUS=CONVERGED      62 CALLS          63 TOTAL
-                     EDM=3.69018e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.61838e+01   2.04083e+00   2.68103e-03  -9.45046e-06
-   2  Mean         1.00001e+00   2.14045e-03   3.36992e-06  -5.72729e-03
-   3  Sigma        1.84699e-02   1.55576e-03   3.84421e-05  -9.86497e-04
-1.00001004927 +/- 0.00214044725813
-0.0184699109466 +/- 0.00155575701095
-PDF lnN 1.01846991095
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/signal450_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/signal450_sig.log
deleted file mode 100644
index 758dffb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_450_novo_285_624/signal450_sig.log
+++ /dev/null
@@ -1,849 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   9.40956e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.15795e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   5.60158e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.43253e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.02042e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=3.59834e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.33700e+02   5.20779e-01   1.28024e-03  -4.50888e-02
-   2  sg_p1        2.45512e+01   4.32325e-01   2.13929e-03   2.15071e-02
-   3  sg_p2        4.10000e+02   7.56422e-01   1.62500e-02** at limit **
-   4  sg_p3        9.59075e+01   9.76509e+00   3.57927e-02  -4.80697e-03
-   5  sg_p4        8.98300e-01   1.09856e-02   2.31920e-03   1.35348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.712e-01 -3.295e-02 -7.320e-06 -1.029e+00 -1.066e-03 
- -3.295e-02  1.870e-01  4.421e-06  1.512e+00  2.106e-03 
- -7.320e-06  4.421e-06  3.900e-05  3.605e-04  1.357e-07 
- -1.029e+00  1.512e+00  3.605e-04  1.055e+02  6.647e-02 
- -1.066e-03  2.106e-03  1.357e-07  6.647e-02  1.207e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22083   1.000 -0.146 -0.002 -0.192 -0.186
-        2  0.45738  -0.146  1.000  0.002  0.340  0.443
-        3  0.00601  -0.002  0.002  1.000  0.006  0.002
-        4  0.60064  -0.192  0.340  0.006  1.000  0.589
-        5  0.64515  -0.186  0.443  0.002  0.589  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=3.62828e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.33700e+02   5.22464e-01   2.56047e-04  -3.28756e-01
-   2  sg_p1        2.45512e+01   4.36897e-01   8.55715e-05   3.54316e-01
-   3  sg_p2        4.10000e+02   7.56439e-01   3.24999e-03  -1.56999e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.59075e+01   1.00551e+01   1.43171e-03   1.14101e+00
-   5  sg_p4        8.98300e-01   1.13202e-02   4.63840e-04   9.21649e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.730e-01 -3.575e-02 -2.151e-06 -1.151e+00 -1.179e-03 
- -3.575e-02  1.909e-01  1.441e-06  1.696e+00  2.279e-03 
- -2.151e-06  1.441e-06  3.900e-05  1.093e-04  4.737e-08 
- -1.151e+00  1.696e+00  1.093e-04  1.126e+02  7.452e-02 
- -1.179e-03  2.279e-03  4.737e-08  7.452e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23428   1.000 -0.157 -0.001 -0.208 -0.199
-        2  0.47504  -0.157  1.000  0.001  0.366  0.461
-        3  0.00175  -0.001  0.001  1.000  0.002  0.001
-        4  0.63167  -0.208  0.366  0.002  1.000  0.620
-        5  0.67100  -0.199  0.461  0.001  0.620  1.000
-450
-433.7 +- 0.522464
-24.5512 +- 0.436897
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14967 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   7.30094e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -7.17086e+01
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   4.92262e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   1.24799e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.52207e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM MIGRAD    STATUS=CONVERGED     225 CALLS         226 TOTAL
-                     EDM=1.40963e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.35880e+02   5.28453e-01   1.25742e-03   3.65467e-02
-   2  sg_p1        2.47804e+01   4.36143e-01   2.15058e-03   8.90109e-02
-   3  sg_p2        4.10000e+02   8.41699e-01   1.71227e-02** at limit **
-   4  sg_p3        9.34154e+01   9.89175e+00   2.81029e-02   3.92610e-03
-   5  sg_p4        9.04757e-01   1.10728e-02   2.34320e-03  -1.13912e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.793e-01 -4.062e-02 -3.574e-06 -1.243e+00 -1.334e-03 
- -4.062e-02  1.903e-01  1.963e-06  1.596e+00  2.205e-03 
- -3.574e-06  1.963e-06  1.004e-05  1.505e-04  5.291e-08 
- -1.243e+00  1.596e+00  1.505e-04  1.043e+02  6.945e-02 
- -1.334e-03  2.205e-03  5.291e-08  6.945e-02  1.227e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26417   1.000 -0.176 -0.002 -0.230 -0.228
-        2  0.47132  -0.176  1.000  0.001  0.358  0.457
-        3  0.00513  -0.002  0.001  1.000  0.005  0.002
-        4  0.62620  -0.230  0.358  0.005  1.000  0.614
-        5  0.66724  -0.228  0.457  0.002  0.614  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM HESSE     STATUS=OK             31 CALLS         257 TOTAL
-                     EDM=1.45125e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.35880e+02   5.30103e-01   2.51483e-04  -2.63606e-01
-   2  sg_p1        2.47804e+01   4.39593e-01   4.30116e-04   3.69632e-01
-   3  sg_p2        4.10000e+02   8.41739e-01   3.42455e-03  -1.57118e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.34154e+01   1.01144e+01   1.12412e-03   1.02300e+00
-   5  sg_p4        9.04757e-01   1.13218e-02   9.37280e-05   9.43325e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.810e-01 -4.308e-02 -6.126e-07 -1.344e+00 -1.432e-03 
- -4.308e-02  1.933e-01  3.606e-07  1.730e+00  2.336e-03 
- -6.126e-07  3.606e-07  1.004e-05  2.633e-05  1.041e-08 
- -1.344e+00  1.730e+00  2.633e-05  1.094e+02  7.528e-02 
- -1.432e-03  2.336e-03  1.041e-08  7.528e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27490   1.000 -0.185 -0.000 -0.242 -0.238
-        2  0.48405  -0.185  1.000  0.000  0.376  0.469
-        3  0.00087  -0.000  0.000  1.000  0.001  0.000
-        4  0.64751  -0.242  0.376  0.001  1.000  0.636
-        5  0.68509  -0.238  0.469  0.000  0.636  1.000
-450
-435.88 +- 0.530103
-24.7804 +- 0.439593
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14989.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   1.09913e+03
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.79281e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   6.15691e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.35305e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.43184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM MIGRAD    STATUS=CONVERGED     259 CALLS         260 TOTAL
-                     EDM=2.88948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.31562e+02   5.09368e-01   1.30052e-03  -5.36209e-02
-   2  sg_p1        2.44193e+01   3.99415e-01   2.10037e-03   1.06473e-02
-   3  sg_p2        4.10000e+02   7.22690e-01   1.57718e-02** at limit **
-   4  sg_p3        1.00000e+02   1.55471e+01   7.04637e-02** at limit **
-   5  sg_p4        8.97810e-01   8.75371e-03   2.28074e-03   2.04575e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.470e-02 -3.574e-07  3.497e-04 -3.281e-04 
- -1.470e-02  1.596e-01 -3.286e-08 -5.660e-04  1.020e-03 
- -3.574e-07 -3.286e-08  5.312e-07 -1.926e-08 -7.103e-09 
-  3.497e-04 -5.660e-04 -1.926e-08  1.262e-03 -2.615e-05 
- -3.281e-04  1.020e-03 -7.103e-09 -2.615e-05  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09157   1.000 -0.072 -0.001  0.019 -0.074
-        2  0.29639  -0.072  1.000 -0.000 -0.040  0.292
-        3  0.00174  -0.001 -0.000  1.000 -0.001 -0.001
-        4  0.08650   0.019 -0.040 -0.001  1.000 -0.084
-        5  0.30486  -0.074  0.292 -0.001 -0.084  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM HESSE     STATUS=OK             31 CALLS         291 TOTAL
-                     EDM=2.76365e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.31562e+02   5.09297e-01   2.60104e-04  -3.94063e-01
-   2  sg_p1        2.44193e+01   3.99210e-01   8.40147e-05   3.45541e-01
-   3  sg_p2        4.10000e+02   7.22718e-01   3.15436e-03  -1.57070e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        1.00000e+02   1.57628e+01   1.40927e-02   1.56988e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   5  sg_p4        8.97810e-01   8.72528e-03   9.12295e-05   9.20031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.594e-01 -1.474e-02 -7.385e-08  6.324e-05 -3.205e-04 
- -1.474e-02  1.594e-01 -8.717e-09 -1.029e-04  1.011e-03 
- -7.385e-08 -8.717e-09  5.312e-07 -7.301e-10 -1.575e-09 
-  6.324e-05 -1.029e-04 -7.301e-10  1.280e-03 -4.742e-06 
- -3.205e-04  1.011e-03 -1.575e-09 -4.742e-06  7.615e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09005   1.000 -0.072 -0.000  0.003 -0.072
-        2  0.29480  -0.072  1.000 -0.000 -0.007  0.290
-        3  0.00033  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.01563   0.003 -0.007 -0.000  1.000 -0.015
-        5  0.29498  -0.072  0.290 -0.000 -0.015  1.000
-450
-431.562 +- 0.509297
-24.4193 +- 0.39921
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12740.9 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.59626e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.90307e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.30862e+02
-   4  sg_p3        3.11611e+01   1.40000e+01  -7.72180e-01   1.25776e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.90098e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.72857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53121e+02   3.12103e-01   7.60916e-04  -1.37805e-01
-   2  sg_p1        1.32664e+01   3.51765e-01   1.66864e-03  -1.59663e-01
-   3  sg_p2        4.41850e+02   2.88341e+00   3.42150e-03  -4.30161e-02
-   4  sg_p3        3.99520e+01   3.27521e+00   2.78644e-03  -1.95155e-02
-   5  sg_p4        8.69549e-01   2.03464e-02   2.42525e-03   7.02356e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.741e-02 -2.019e-02 -5.897e-02 -2.380e-01 -1.352e-03 
- -2.019e-02  1.238e-01 -4.014e-01  6.784e-01  5.251e-03 
- -5.897e-02 -4.014e-01  8.322e+00 -4.133e+00 -2.949e-02 
- -2.380e-01  6.784e-01 -4.133e+00  1.074e+01  5.122e-02 
- -1.352e-03  5.251e-03 -2.949e-02  5.122e-02  4.145e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32114   1.000 -0.184 -0.066 -0.233 -0.213
-        2  0.73542  -0.184  1.000 -0.395  0.588  0.733
-        3  0.54335  -0.066 -0.395  1.000 -0.437 -0.502
-        4  0.77539  -0.233  0.588 -0.437  1.000  0.768
-        5  0.85259  -0.213  0.733 -0.502  0.768  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=1.73002e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53121e+02   3.12202e-01   1.52183e-04   1.04231e-01
-   2  sg_p1        1.32664e+01   3.54275e-01   3.33728e-04  -6.67445e-02
-   3  sg_p2        4.41850e+02   2.90658e+00   6.84300e-04   1.24877e-01
-   4  sg_p3        3.99520e+01   3.31061e+00   1.11458e-04  -6.09081e-01
-   5  sg_p4        8.69549e-01   2.05823e-02   4.85050e-04   8.31731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.747e-02 -2.060e-02 -5.492e-02 -2.421e-01 -1.378e-03 
- -2.060e-02  1.256e-01 -4.183e-01  6.988e-01  5.382e-03 
- -5.492e-02 -4.183e-01  8.456e+00 -4.334e+00 -3.074e-02 
- -2.421e-01  6.988e-01 -4.334e+00  1.097e+01  5.275e-02 
- -1.378e-03  5.382e-03 -3.074e-02  5.275e-02  4.242e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32202   1.000 -0.186 -0.060 -0.234 -0.214
-        2  0.73982  -0.186  1.000 -0.406  0.595  0.738
-        3  0.55356  -0.060 -0.406  1.000 -0.450 -0.513
-        4  0.78084  -0.234  0.595 -0.450  1.000  0.773
-        5  0.85624  -0.214  0.738 -0.513  0.773  1.000
-450
-453.121 +- 0.312202
-13.2664 +- 0.354275
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.2 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.71963e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.47720e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.59810e+02
-   4  sg_p3        3.20356e+01   1.40000e+01  -7.54886e-01   1.25318e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.92447e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=5.05245e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53816e+02   3.21132e-01   7.83772e-04  -7.95633e-02
-   2  sg_p1        1.33997e+01   3.69195e-01   1.71799e-03   1.80096e-01
-   3  sg_p2        4.44337e+02   2.53515e+00   3.11461e-03  -5.82291e-02
-   4  sg_p3        3.80604e+01   2.91065e+00   2.47607e-03   7.49358e-02
-   5  sg_p4        8.58912e-01   2.26324e-02   2.50700e-03  -6.85706e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.031e-01 -2.126e-02 -8.734e-02 -2.148e-01 -1.521e-03 
- -2.126e-02  1.364e-01 -3.383e-01  6.405e-01  6.246e-03 
- -8.734e-02 -3.383e-01  6.432e+00 -2.789e+00 -2.624e-02 
- -2.148e-01  6.405e-01 -2.789e+00  8.480e+00  5.167e-02 
- -1.521e-03  6.246e-03 -2.624e-02  5.167e-02  5.129e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33218   1.000 -0.179 -0.107 -0.230 -0.209
-        2  0.74782  -0.179  1.000 -0.361  0.596  0.747
-        3  0.50601  -0.107 -0.361  1.000 -0.378 -0.457
-        4  0.78747  -0.230  0.596 -0.378  1.000  0.784
-        5  0.86569  -0.209  0.747 -0.457  0.784  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=5.14272e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53816e+02   3.21170e-01   1.56754e-04   1.27552e-01
-   2  sg_p1        1.33997e+01   3.71529e-01   3.43597e-04  -5.45997e-02
-   3  sg_p2        4.44337e+02   2.55137e+00   6.22923e-04   1.70589e-01
-   4  sg_p3        3.80604e+01   2.93737e+00   9.90429e-05  -6.42423e-01
-   5  sg_p4        8.58912e-01   2.28649e-02   5.01401e-04   8.00670e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.032e-01 -2.159e-02 -8.447e-02 -2.173e-01 -1.542e-03 
- -2.159e-02  1.381e-01 -3.519e-01  6.569e-01  6.381e-03 
- -8.447e-02 -3.519e-01  6.514e+00 -2.922e+00 -2.730e-02 
- -2.173e-01  6.569e-01 -2.922e+00  8.636e+00  5.298e-02 
- -1.542e-03  6.381e-03 -2.730e-02  5.298e-02  5.236e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33250   1.000 -0.181 -0.103 -0.230 -0.210
-        2  0.75151  -0.181  1.000 -0.371  0.602  0.750
-        3  0.51526  -0.103 -0.371  1.000 -0.390 -0.467
-        4  0.79182  -0.230  0.602 -0.390  1.000  0.788
-        5  0.86862  -0.210  0.750 -0.467  0.788  1.000
-450
-453.816 +- 0.32117
-13.3997 +- 0.371529
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12450.5 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -7.89096e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.29312e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.41083e+02
-   4  sg_p3        2.97404e+01   1.40000e+01  -8.00916e-01   5.32420e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.78505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=9.81901e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.52649e+02   2.99257e-01   7.27117e-04  -1.85651e-01
-   2  sg_p1        1.29215e+01   3.26230e-01   1.60240e-03  -1.04599e-01
-   3  sg_p2        4.39500e+02   3.30234e+00   3.79402e-03  -2.47036e-02
-   4  sg_p3        4.23678e+01   3.70551e+00   3.18328e-03  -2.16927e-02
-   5  sg_p4        8.78387e-01   1.75288e-02   2.31775e-03   5.63843e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.956e-02 -1.634e-02 -3.809e-02 -2.386e-01 -1.021e-03 
- -1.634e-02  1.065e-01 -4.382e-01  6.785e-01  4.010e-03 
- -3.809e-02 -4.382e-01  1.092e+01 -5.893e+00 -3.008e-02 
- -2.386e-01  6.785e-01 -5.893e+00  1.375e+01  4.755e-02 
- -1.021e-03  4.010e-03 -3.008e-02  4.755e-02  3.076e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29182   1.000 -0.167 -0.039 -0.215 -0.195
-        2  0.70607  -0.167  1.000 -0.406  0.561  0.701
-        3  0.56523  -0.039 -0.406  1.000 -0.481 -0.519
-        4  0.74887  -0.215  0.561 -0.481  1.000  0.731
-        5  0.82206  -0.195  0.701 -0.519  0.731  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM HESSE     STATUS=OK             31 CALLS         249 TOTAL
-                     EDM=9.82123e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.52649e+02   2.99376e-01   1.45423e-04   8.84175e-02
-   2  sg_p1        1.29215e+01   3.28560e-01   3.20481e-04  -9.82038e-02
-   3  sg_p2        4.39500e+02   3.33339e+00   7.58805e-04   8.19031e-02
-   4  sg_p3        4.23678e+01   3.74990e+00   1.27331e-04  -5.67592e-01
-   5  sg_p4        8.78387e-01   1.77374e-02   4.63550e-04   8.58362e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.963e-02 -1.673e-02 -3.321e-02 -2.436e-01 -1.045e-03 
- -1.673e-02  1.080e-01 -4.573e-01  7.011e-01  4.116e-03 
- -3.321e-02 -4.573e-01  1.113e+01 -6.187e+00 -3.140e-02 
- -2.436e-01  7.011e-01 -6.187e+00  1.408e+01  4.914e-02 
- -1.045e-03  4.116e-03 -3.140e-02  4.914e-02  3.149e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29306   1.000 -0.170 -0.033 -0.217 -0.197
-        2  0.71107  -0.170  1.000 -0.417  0.569  0.706
-        3  0.57630  -0.033 -0.417  1.000 -0.494 -0.531
-        4  0.75573  -0.217  0.569 -0.494  1.000  0.738
-        5  0.82667  -0.197  0.706 -0.531  0.738  1.000
-450
-452.649 +- 0.299376
-12.9215 +- 0.32856
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12485 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.28524e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.76932e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.07179e+02
-   4  sg_p3        3.15199e+01   1.40000e+01  -7.65049e-01   1.17013e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.75418e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=8.2003e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53041e+02   3.16233e-01   7.67663e-04  -4.53747e-01
-   2  sg_p1        1.34606e+01   3.60067e-01   1.68094e-03  -2.56821e-01
-   3  sg_p2        4.42647e+02   3.03755e+00   3.65255e-03  -7.93949e-02
-   4  sg_p3        4.13701e+01   3.70699e+00   3.03411e-03  -1.62102e-02
-   5  sg_p4        8.74490e-01   2.02974e-02   2.42550e-03   1.44185e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.000e-01 -1.902e-02 -8.059e-02 -2.487e-01 -1.247e-03 
- -1.902e-02  1.297e-01 -4.096e-01  8.024e-01  5.385e-03 
- -8.059e-02 -4.096e-01  9.236e+00 -4.749e+00 -2.911e-02 
- -2.487e-01  8.024e-01 -4.749e+00  1.376e+01  5.850e-02 
- -1.247e-03  5.385e-03 -2.911e-02  5.850e-02  4.125e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30405   1.000 -0.167 -0.084 -0.212 -0.194
-        2  0.73858  -0.167  1.000 -0.374  0.601  0.736
-        3  0.51688  -0.084 -0.374  1.000 -0.421 -0.472
-        4  0.78361  -0.212  0.601 -0.421  1.000  0.776
-        5  0.85381  -0.194  0.736 -0.472  0.776  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM HESSE     STATUS=OK             31 CALLS         238 TOTAL
-                     EDM=8.28097e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53041e+02   3.16314e-01   1.53533e-04   1.01529e-01
-   2  sg_p1        1.34606e+01   3.62947e-01   3.36188e-04  -4.90533e-02
-   3  sg_p2        4.42647e+02   3.06302e+00   7.30509e-04   1.39482e-01
-   4  sg_p3        4.13701e+01   3.75314e+00   1.21364e-04  -5.84588e-01
-   5  sg_p4        8.74490e-01   2.05612e-02   4.85100e-04   8.46520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.001e-01 -1.944e-02 -7.634e-02 -2.533e-01 -1.273e-03 
- -1.944e-02  1.318e-01 -4.295e-01  8.293e-01  5.535e-03 
- -7.634e-02 -4.295e-01  9.392e+00 -5.013e+00 -3.054e-02 
- -2.533e-01  8.293e-01 -5.013e+00  1.411e+01  6.046e-02 
- -1.273e-03  5.535e-03 -3.054e-02  6.046e-02  4.233e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30482   1.000 -0.169 -0.079 -0.213 -0.196
-        2  0.74343  -0.169  1.000 -0.386  0.608  0.741
-        3  0.52851  -0.079 -0.386  1.000 -0.436 -0.484
-        4  0.78960  -0.213  0.608 -0.436  1.000  0.782
-        5  0.85785  -0.196  0.741 -0.484  0.782  1.000
-450
-453.041 +- 0.316314
-13.4606 +- 0.362947
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.1 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.34152e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.79811e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -1.07673e+03
-   4  sg_p3        2.91978e+01   1.40000e+01  -8.12117e-01  -1.15313e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.79673e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM MIGRAD    STATUS=CONVERGED     214 CALLS         215 TOTAL
-                     EDM=2.54338e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53203e+02   3.05272e-01   7.48199e-04   1.37509e-01
-   2  sg_p1        1.33442e+01   3.36784e-01   1.63030e-03  -1.73887e-01
-   3  sg_p2        4.40023e+02   3.36501e+00   3.85092e-03  -4.69572e-02
-   4  sg_p3        4.14043e+01   3.72019e+00   3.17044e-03  -1.58965e-02
-   5  sg_p4        8.85415e-01   1.84477e-02   2.39174e-03   8.69592e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.319e-02 -1.886e-02 -3.146e-02 -2.700e-01 -1.210e-03 
- -1.886e-02  1.135e-01 -4.902e-01  7.251e-01  4.482e-03 
- -3.146e-02 -4.902e-01  1.134e+01 -6.160e+00 -3.421e-02 
- -2.700e-01  7.251e-01 -6.160e+00  1.386e+01  5.193e-02 
- -1.210e-03  4.482e-03 -3.421e-02  5.193e-02  3.407e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31564   1.000 -0.183 -0.031 -0.238 -0.215
-        2  0.72421  -0.183  1.000 -0.432  0.578  0.721
-        3  0.58870  -0.031 -0.432  1.000 -0.491 -0.551
-        4  0.76796  -0.238  0.578 -0.491  1.000  0.756
-        5  0.84414  -0.215  0.721 -0.551  0.756  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM HESSE     STATUS=OK             31 CALLS         246 TOTAL
-                     EDM=2.55427e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53203e+02   3.05429e-01   1.49640e-04   1.06973e-01
-   2  sg_p1        1.33442e+01   3.39511e-01   3.26061e-04  -5.96515e-02
-   3  sg_p2        4.40023e+02   3.39967e+00   7.70184e-04   9.14550e-02
-   4  sg_p3        4.14043e+01   3.76783e+00   1.26818e-04  -5.84003e-01
-   5  sg_p4        8.85415e-01   1.86940e-02   4.78349e-04   8.80144e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.329e-02 -1.935e-02 -2.553e-02 -2.761e-01 -1.241e-03 
- -1.935e-02  1.153e-01 -5.124e-01  7.508e-01  4.612e-03 
- -2.553e-02 -5.124e-01  1.157e+01 -6.480e+00 -3.578e-02 
- -2.761e-01  7.508e-01 -6.480e+00  1.422e+01  5.377e-02 
- -1.241e-03  4.612e-03 -3.578e-02  5.377e-02  3.499e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31711   1.000 -0.187 -0.025 -0.240 -0.217
-        2  0.72945  -0.187  1.000 -0.444  0.586  0.726
-        3  0.59988  -0.025 -0.444  1.000 -0.505 -0.562
-        4  0.77464  -0.240  0.586 -0.505  1.000  0.762
-        5  0.84859  -0.217  0.726 -0.562  0.762  1.000
-450
-453.203 +- 0.305429
-13.3442 +- 0.339511
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11934 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.21817e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.66012e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.28921e+02
-   4  sg_p3        3.02910e+01   1.40000e+01  -7.89682e-01   6.24982e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.41964e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=3.59163e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53125e+02   3.22437e-01   7.59830e-04   3.14030e-01
-   2  sg_p1        1.32568e+01   3.64776e-01   1.66662e-03   1.31711e-01
-   3  sg_p2        4.41914e+02   2.96380e+00   3.40318e-03  -1.73168e-02
-   4  sg_p3        3.96954e+01   3.35557e+00   2.76524e-03  -2.51020e-02
-   5  sg_p4        8.69980e-01   2.12003e-02   2.43138e-03   2.99659e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.192e-02 -6.249e-02 -2.549e-01 -1.475e-03 
- -2.192e-02  1.331e-01 -4.296e-01  7.236e-01  5.697e-03 
- -6.249e-02 -4.296e-01  8.793e+00 -4.343e+00 -3.167e-02 
- -2.549e-01  7.236e-01 -4.343e+00  1.127e+01  5.485e-02 
- -1.475e-03  5.697e-03 -3.167e-02  5.485e-02  4.500e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32406   1.000 -0.186 -0.065 -0.235 -0.216
-        2  0.73815  -0.186  1.000 -0.397  0.591  0.736
-        3  0.54427  -0.065 -0.397  1.000 -0.436 -0.503
-        4  0.77722  -0.235  0.591 -0.436  1.000  0.770
-        5  0.85485  -0.216  0.736 -0.503  0.770  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=3.63213e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53125e+02   3.22540e-01   1.51966e-04   1.04341e-01
-   2  sg_p1        1.32568e+01   3.67383e-01   3.33325e-04  -6.76154e-02
-   3  sg_p2        4.41914e+02   2.98753e+00   6.80636e-04   1.26049e-01
-   4  sg_p3        3.96954e+01   3.39157e+00   1.10610e-04  -6.13558e-01
-   5  sg_p4        8.69980e-01   2.14457e-02   4.86276e-04   8.33011e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.236e-02 -5.816e-02 -2.592e-01 -1.503e-03 
- -2.236e-02  1.350e-01 -4.476e-01  7.452e-01  5.838e-03 
- -5.816e-02 -4.476e-01  8.934e+00 -4.553e+00 -3.300e-02 
- -2.592e-01  7.452e-01 -4.553e+00  1.152e+01  5.647e-02 
- -1.503e-03  5.838e-03 -3.300e-02  5.647e-02  4.605e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32494   1.000 -0.189 -0.060 -0.237 -0.217
-        2  0.74250  -0.189  1.000 -0.408  0.598  0.740
-        3  0.55442  -0.060 -0.408  1.000 -0.449 -0.514
-        4  0.78258  -0.237  0.598 -0.449  1.000  0.775
-        5  0.85843  -0.217  0.740 -0.514  0.775  1.000
-450
-453.125 +- 0.32254
-13.2568 +- 0.367383
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13588.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.01194e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.14820e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.36931e+02
-   4  sg_p3        3.19529e+01   1.40000e+01  -7.56508e-01   1.83311e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.40586e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=2.9635e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53119e+02   3.02295e-01   7.61866e-04  -3.75062e-01
-   2  sg_p1        1.32780e+01   3.39541e-01   1.67011e-03  -9.46376e-02
-   3  sg_p2        4.41784e+02   2.80838e+00   3.43889e-03  -7.54198e-02
-   4  sg_p3        4.02094e+01   3.20169e+00   2.80752e-03   5.20848e-02
-   5  sg_p4        8.69165e-01   1.95466e-02   2.41927e-03  -3.07790e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.139e-02 -1.864e-02 -5.556e-02 -2.229e-01 -1.243e-03 
- -1.864e-02  1.153e-01 -3.761e-01  6.379e-01  4.851e-03 
- -5.556e-02 -3.761e-01  7.894e+00 -3.947e+00 -2.754e-02 
- -2.229e-01  6.379e-01 -3.947e+00  1.026e+01  4.798e-02 
- -1.243e-03  4.851e-03 -2.754e-02  4.798e-02  3.825e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31836   1.000 -0.182 -0.065 -0.230 -0.210
-        2  0.73280  -0.182  1.000 -0.394  0.586  0.730
-        3  0.54277  -0.065 -0.394  1.000 -0.439 -0.501
-        4  0.77378  -0.230  0.586 -0.439  1.000  0.766
-        5  0.85046  -0.210  0.730 -0.501  0.766  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM HESSE     STATUS=OK             31 CALLS         237 TOTAL
-                     EDM=2.98129e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53119e+02   3.02390e-01   1.52373e-04   1.04142e-01
-   2  sg_p1        1.32780e+01   3.41962e-01   3.34022e-04  -6.56836e-02
-   3  sg_p2        4.41784e+02   2.83105e+00   6.87778e-04   1.23663e-01
-   4  sg_p3        4.02094e+01   3.23660e+00   1.12301e-04  -6.04605e-01
-   5  sg_p4        8.69165e-01   1.97739e-02   4.83854e-04   8.30589e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.144e-02 -1.903e-02 -5.175e-02 -2.268e-01 -1.268e-03 
- -1.903e-02  1.170e-01 -3.920e-01  6.571e-01  4.973e-03 
- -5.175e-02 -3.920e-01  8.022e+00 -4.140e+00 -2.871e-02 
- -2.268e-01  6.571e-01 -4.140e+00  1.049e+01  4.942e-02 
- -1.268e-03  4.973e-03 -2.871e-02  4.942e-02  3.915e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31924   1.000 -0.184 -0.060 -0.232 -0.212
-        2  0.73725  -0.184  1.000 -0.405  0.593  0.735
-        3  0.55306  -0.060 -0.405  1.000 -0.451 -0.512
-        4  0.77932  -0.232  0.593 -0.451  1.000  0.771
-        5  0.85417  -0.212  0.735 -0.512  0.771  1.000
-450
-453.119 +- 0.30239
-13.278 +- 0.341962
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 72 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 80 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 453.121 +- 0.312202 (stat) - 0.472204 + 0.694919 (syst); -0.497337/+0.712236 (total)
-   Uncertainty on sg_p1 = 13.2664 +- 0.354275 (stat) - 0.344861 + 0.194275 (syst); -0.387695/+0.262907 (total)
-   Uncertainty on sg_p2 = 441.85 +- 2.90658 (stat) - 2.35076 + 2.48654 (syst); -2.76371/+2.88009 (total)
-   Uncertainty on sg_p3 = 39.952 +- 3.31061 (stat) - 1.8916 + 2.41576 (syst); -2.5136/+2.92847 (total)
-   Uncertainty on sg_p4 = 0.869549 +- 0.0205823 (stat) - 0.0106377 + 0.015866 (syst); -0.0148009/+0.0189113 (total) 
-   === Baseline plot === </br>
-   norm = 1083.26
-JEC     lnN   1.00732  -
-JER     lnN   1.01521  -
-btag    lnN   1.06507  -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out
deleted file mode 100644
index 133a2af..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.240
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00328203  -0.00328203/+0.0325485  (68% CL)
-nll S+B -> -3.21677  nll B -> -0.000682032
-Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out
deleted file mode 100644
index bc15d5c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.080911:	q_mu = 3.83243	q_A  = 3.82668	CLsb = 0.02513	CLb  = 0.49941	CLs  = 0.05033
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0809
-Expected  2.5%: r < 0.0725
-Expected 16.0%: r < 0.0796
-Expected 50.0%: r < 0.0942
-Expected 84.0%: r < 0.1187
-Expected 97.5%: r < 0.1521
-
-Done in 2.75 min (cpu), 2.75 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt
deleted file mode 100644
index 1b0b59a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1319.62 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06496    -
-JER       lnN     1.01686   - 
-JEC       lnN     1.00347   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01997778164   -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/pdf.log
deleted file mode 100644
index 22b256a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=7.73723 FROM MIGRAD    STATUS=CONVERGED      68 CALLS          69 TOTAL
-                     EDM=1.48553e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.55193e+01   2.01523e+00   2.33208e-03   3.31664e-05
-   2  Mean         9.99114e-01   2.37917e-03   3.42556e-06  -1.77868e-04
-   3  Sigma        1.99778e-02   2.01544e-03   4.15348e-05   8.52046e-04
-0.999114272503 +/- 0.00237917106011
-0.0199777816408 +/- 0.00201543879959
-PDF lnN 1.01997778164
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/signal500_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/signal500_sig.log
deleted file mode 100644
index 3014dec..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_crystal_1_285_624/signal500_sig.log
+++ /dev/null
@@ -1,916 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18297.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   4.88508e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.52283e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.04492e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.27139e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.31849e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM MIGRAD    STATUS=CONVERGED     270 CALLS         271 TOTAL
-                     EDM=0.000209103    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.82781e+02   4.91816e-01   1.54936e-03   4.63902e-01
-   2  sg_p1        2.77322e+01   3.77130e-01   2.11298e-03  -7.95545e-04
-   3  sg_p2        4.00000e+02   7.22234e+00   3.62181e-02   1.52038e-02
-   4  sg_p3        9.99995e+01   7.83688e+00   5.52124e-02  -1.33082e-02
-   5  sg_p4        9.49597e-01   5.34566e-03   2.17525e-03   3.38347e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.201e-02  7.239e-06  6.832e-04 -2.726e-04 
- -1.201e-02  1.423e-01 -5.971e-04  4.705e-05  4.980e-04 
-  7.239e-06 -5.971e-04  7.635e-03 -3.089e-06 -2.189e-05 
-  6.832e-04  4.705e-05 -3.089e-06  1.671e-02  2.174e-06 
- -2.726e-04  4.980e-04 -2.189e-05  2.174e-06  2.858e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11194   1.000 -0.065  0.000  0.011 -0.104
-        2  0.25018  -0.065  1.000 -0.018  0.001  0.247
-        3  0.04761   0.000 -0.018  1.000 -0.000 -0.047
-        4  0.01159   0.011  0.001 -0.000  1.000  0.003
-        5  0.26559  -0.104  0.247 -0.047  0.003  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM HESSE     STATUS=OK             31 CALLS         302 TOTAL
-                     EDM=0.000214101    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.82781e+02   4.91810e-01   3.09872e-04  -2.43026e-01
-   2  sg_p1        2.77322e+01   3.77150e-01   8.45194e-05   2.59399e-01
-   3  sg_p2        4.00000e+02   7.23045e+00   7.24363e-03  -1.56845e+00
-   4  sg_p3        9.99995e+01   7.86694e+00   1.10425e-02   1.56600e+00
-   5  sg_p4        9.49597e-01   5.34101e-03   4.35051e-04   1.11793e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.221e-02  2.317e-06  2.181e-05 -2.728e-04 
- -1.221e-02  1.423e-01 -1.751e-04  1.477e-06  4.978e-04 
-  2.317e-06 -1.751e-04  7.644e-03 -2.852e-08 -6.407e-06 
-  2.181e-05  1.477e-06 -2.852e-08  1.678e-02  6.944e-08 
- -2.728e-04  4.978e-04 -6.407e-06  6.944e-08  2.853e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11182   1.000 -0.066  0.000  0.000 -0.104
-        2  0.25038  -0.066  1.000 -0.005  0.000  0.247
-        3  0.01394   0.000 -0.005  1.000 -0.000 -0.014
-        4  0.00037   0.000  0.000 -0.000  1.000  0.000
-        5  0.26252  -0.104  0.247 -0.014  0.000  1.000
-500
-482.781 +- 0.49181
-27.7322 +- 0.37715
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18169.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   3.31882e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   8.82382e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   9.40789e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.28474e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.45518e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM MIGRAD    STATUS=CONVERGED     298 CALLS         299 TOTAL
-                     EDM=6.02039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.84762e+02   4.94191e-01   1.52434e-03   1.30913e-01
-   2  sg_p1        2.76557e+01   3.74902e-01   2.09728e-03   4.83776e-02
-   3  sg_p2        4.00000e+02   4.37949e+00   2.80592e-02** at limit **
-   4  sg_p3        9.99992e+01   6.41285e+01   1.21382e-01   2.55150e-03
-   5  sg_p4        9.47779e-01   5.38139e-03   2.15294e-03  -2.62881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.442e-01 -1.391e-02  1.965e-06  1.328e-02 -2.985e-04 
- -1.391e-02  1.406e-01 -2.130e-05 -8.696e-04  4.743e-04 
-  1.965e-06 -2.130e-05  4.142e-05 -4.503e-06 -8.642e-07 
-  1.328e-02 -8.696e-04 -4.503e-06  1.378e-01  3.311e-05 
- -2.985e-04  4.743e-04 -8.642e-07  3.311e-05  2.896e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14334   1.000 -0.075  0.001  0.072 -0.112
-        2  0.24021  -0.075  1.000 -0.009 -0.006  0.235
-        3  0.02528   0.001 -0.009  1.000 -0.002 -0.025
-        4  0.07681   0.072 -0.006 -0.002  1.000  0.017
-        5  0.25571  -0.112  0.235 -0.025  0.017  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM HESSE     STATUS=OK             35 CALLS         334 TOTAL
-                     EDM=5.16959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.84762e+02   5.00293e-01   3.04869e-04  -1.75493e-01
-   2  sg_p1        2.76557e+01   3.74977e-01   8.38911e-05   2.54605e-01
-   3  sg_p2        4.00000e+02   4.38207e+00   5.61185e-03  -1.57057e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.99992e+01   1.55865e+01   4.95239e-01   1.57658e+00
-   5  sg_p4        9.47779e-01   5.38465e-03   4.30589e-04   1.10968e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.503e-01 -1.437e-02 -1.054e-07  1.912e-02 -2.821e-04 
- -1.437e-02  1.406e-01 -4.527e-06 -8.788e-04  4.745e-04 
- -1.054e-07 -4.527e-06  4.144e-05 -1.618e-06 -1.856e-07 
-  1.912e-02 -8.788e-04 -1.618e-06  4.993e-02  5.148e-05 
- -2.821e-04  4.745e-04 -1.856e-07  5.148e-05  2.900e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21046   1.000 -0.077 -0.000  0.171 -0.105
-        2  0.24099  -0.077  1.000 -0.002 -0.010  0.235
-        3  0.00549  -0.000 -0.002  1.000 -0.001 -0.005
-        4  0.18195   0.171 -0.010 -0.001  1.000  0.043
-        5  0.25791  -0.105  0.235 -0.005  0.043  1.000
-500
-484.762 +- 0.500293
-27.6557 +- 0.374977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18067.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   6.30906e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.68366e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.15954e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.16092e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.26605e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=3.64156e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.80603e+02   4.87655e-01   1.55641e-03   1.00438e-01
-   2  sg_p1        2.73597e+01   3.75999e-01   2.07241e-03  -3.88766e-02
-   3  sg_p2        4.00000e+02   7.70615e+00   3.73444e-02  -1.20875e-02
-   4  sg_p3        9.99999e+01   9.07676e+00   5.91616e-02   4.30185e-03
-   5  sg_p4        9.52020e-01   5.29904e-03   2.18424e-03  -2.42849e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.252e-02  1.605e-06  3.978e-04 -2.735e-04 
- -1.252e-02  1.414e-01 -4.268e-04  1.441e-06  5.110e-04 
-  1.605e-06 -4.268e-04  5.890e-03 -4.600e-07 -1.533e-05 
-  3.978e-04  1.441e-06 -4.600e-07  2.758e-03  4.935e-07 
- -2.735e-04  5.110e-04 -1.533e-05  4.935e-07  2.809e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11523   1.000 -0.068  0.000  0.016 -0.106
-        2  0.25980  -0.068  1.000 -0.015  0.000  0.256
-        3  0.03828   0.000 -0.015  1.000 -0.000 -0.038
-        4  0.01591   0.016  0.000 -0.000  1.000  0.002
-        5  0.27342  -0.106  0.256 -0.038  0.002  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM HESSE     STATUS=OK             31 CALLS         311 TOTAL
-                     EDM=3.66903e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.80603e+02   4.87622e-01   3.11281e-04  -3.18584e-01
-   2  sg_p1        2.73597e+01   3.76029e-01   8.28962e-05   2.36108e-01
-   3  sg_p2        4.00000e+02   7.72173e+00   7.46888e-03  -1.57279e+00
-   4  sg_p3        9.99999e+01   9.11980e+00   1.18323e-02   1.57260e+00
-   5  sg_p4        9.52020e-01   5.29594e-03   8.73698e-05   1.12913e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.272e-02  2.233e-07  9.824e-05 -2.737e-04 
- -1.272e-02  1.414e-01 -4.487e-05  2.340e-07  5.111e-04 
-  2.233e-07 -4.487e-05  5.902e-03 -1.148e-08 -1.609e-06 
-  9.824e-05  2.340e-07 -1.148e-08  2.771e-03  1.224e-07 
- -2.737e-04  5.111e-04 -1.609e-06  1.224e-07  2.805e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11467   1.000 -0.069  0.000  0.004 -0.106
-        2  0.26008  -0.069  1.000 -0.002  0.000  0.257
-        3  0.00402   0.000 -0.002  1.000 -0.000 -0.004
-        4  0.00392   0.004  0.000 -0.000  1.000  0.000
-        5  0.27142  -0.106  0.257 -0.004  0.000  1.000
-500
-480.603 +- 0.487622
-27.3597 +- 0.376029
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16835.6 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.93448e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.78837e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66272e+02
-   4  sg_p3        4.24477e+01   1.40000e+01  -5.66239e-01   4.08068e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.94465e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.0123886    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03549e+02   3.01469e-01   1.32569e-03   7.22248e-02
-   2  sg_p1        1.64694e+01   2.69674e-01   1.82958e-03   1.11175e-01
-   3  sg_p2        4.52623e+02   1.84688e+01   1.67733e-02  -5.64013e-01
-   4  sg_p3        1.31659e+02   2.60244e+01   4.76520e-02  -2.04899e-01
-   5  sg_p4        9.27815e-01   7.08262e-03   2.04007e-03  -6.32432e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16163.1 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=1.39803e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03541e+02   3.02714e-01  -6.04564e-05  -2.41635e-02
-   2  sg_p1        1.64684e+01   2.71856e-01   1.82456e-04   2.35248e-02
-   3  sg_p2        4.54550e+02   1.81378e+01  -3.71817e-04   2.34305e-03
-   4  sg_p3        1.35056e+02   2.96709e+01   1.70336e-02  -8.15967e-03
-   5  sg_p4        9.27449e-01   7.04529e-03   2.19134e-05  -1.27756e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.164e-02 -7.657e-03 -1.012e-01 -1.679e+00 -7.191e-05 
- -7.657e-03  7.392e-02 -1.518e+00  2.592e+00  7.352e-04 
- -1.012e-01 -1.518e+00  3.340e+02 -8.231e+01 -5.363e-02 
- -1.679e+00  2.592e+00 -8.231e+01  1.069e+03 -1.492e-03 
- -7.191e-05  7.352e-04 -5.363e-02 -1.492e-03  4.965e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18907   1.000 -0.093 -0.018 -0.170 -0.034
-        2  0.49868  -0.093  1.000 -0.305  0.292  0.384
-        3  0.45946  -0.018 -0.305  1.000 -0.138 -0.416
-        4  0.36545  -0.170  0.292 -0.138  1.000 -0.006
-        5  0.51683  -0.034  0.384 -0.416 -0.006  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             39 CALLS         333 TOTAL
-                     EDM=4.95712e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03541e+02   3.01948e-01   1.32548e-03   1.78010e-01
-   2  sg_p1        1.64684e+01   2.69373e-01   1.82921e-03  -1.77589e-01
-   3  sg_p2        4.54550e+02   1.88889e+01   1.71373e-02  -4.39830e-01
-   4  sg_p3        1.35056e+02   2.91667e+01   5.83968e-02   9.05144e-01
-   5  sg_p4        9.27449e-01   7.08973e-03   2.04457e-03   1.02536e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.118e-02 -6.694e-03 -1.967e-01 -1.492e+00 -6.118e-05 
- -6.694e-03  7.258e-02 -1.499e+00  2.192e+00  7.371e-04 
- -1.967e-01 -1.499e+00  3.627e+02 -4.939e+01 -5.738e-02 
- -1.492e+00  2.192e+00 -4.939e+01  1.025e+03 -5.946e-03 
- -6.118e-05  7.371e-04 -5.738e-02 -5.946e-03  5.028e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17693   1.000 -0.082 -0.034 -0.154 -0.029
-        2  0.48331  -0.082  1.000 -0.292  0.254  0.386
-        3  0.45514  -0.034 -0.292  1.000 -0.081 -0.425
-        4  0.32411  -0.154  0.254 -0.081  1.000 -0.026
-        5  0.52326  -0.029  0.386 -0.425 -0.026  1.000
-500
-503.541 +- 0.301948
-16.4684 +- 0.269373
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16739.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.55651e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.48786e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.68451e+02
-   4  sg_p3        4.32221e+01   1.40000e+01  -5.53184e-01   1.18283e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.96034e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=8.68132e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.04220e+02   3.07707e-01   1.35237e-03   1.08303e-01
-   2  sg_p1        1.66795e+01   2.77507e-01   1.84894e-03   6.94551e-02
-   3  sg_p2        4.62822e+02   1.91078e+01   1.68854e-02  -1.14748e-02
-   4  sg_p3        1.35582e+02   3.03789e+01   6.57946e-02   1.08838e-02
-   5  sg_p4        9.28230e-01   7.23504e-03   2.06982e-03  -3.02724e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.469e-02 -7.947e-03 -3.583e-01 -1.715e+00 -8.078e-05 
- -7.947e-03  7.703e-02 -1.315e+00  2.634e+00  8.091e-04 
- -3.583e-01 -1.315e+00  3.708e+02  4.728e+01 -6.075e-02 
- -1.715e+00  2.634e+00  4.728e+01  1.145e+03  2.032e-03 
- -8.078e-05  8.091e-04 -6.075e-02  2.032e-03  5.236e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18853   1.000 -0.093 -0.060 -0.165 -0.036
-        2  0.50124  -0.093  1.000 -0.246  0.281  0.403
-        3  0.46006  -0.060 -0.246  1.000  0.073 -0.436
-        4  0.34759  -0.165  0.281  0.073  1.000  0.008
-        5  0.53639  -0.036  0.403 -0.436  0.008  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM HESSE     STATUS=OK             31 CALLS         345 TOTAL
-                     EDM=9.10947e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.04220e+02   3.08377e-01   2.70474e-04   2.12615e-01
-   2  sg_p1        1.66795e+01   2.80568e-01   3.69788e-04  -1.58971e-01
-   3  sg_p2        4.62822e+02   1.90695e+01   6.75418e-04  -3.45556e-01
-   4  sg_p3        1.35582e+02   3.07077e+01   2.63178e-03   9.17410e-01
-   5  sg_p4        9.28230e-01   7.23811e-03   4.13965e-04   1.02837e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.510e-02 -8.877e-03 -3.212e-01 -1.872e+00 -9.078e-05 
- -8.877e-03  7.873e-02 -1.370e+00  3.011e+00  8.254e-04 
- -3.212e-01 -1.370e+00  3.693e+02  2.368e+01 -6.065e-02 
- -1.872e+00  3.011e+00  2.368e+01  1.177e+03  7.626e-03 
- -9.078e-05  8.254e-04 -6.065e-02  7.626e-03  5.240e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19932   1.000 -0.103 -0.054 -0.177 -0.041
-        2  0.51720  -0.103  1.000 -0.254  0.313  0.406
-        3  0.45661  -0.054 -0.254  1.000  0.036 -0.436
-        4  0.36806  -0.177  0.313  0.036  1.000  0.031
-        5  0.53695  -0.041  0.406 -0.436  0.031  1.000
-500
-504.22 +- 0.308377
-16.6795 +- 0.280568
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.23108e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.18946e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.42436e+02
-   4  sg_p3        4.43542e+01   1.40000e+01  -5.34286e-01   2.49400e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.66244e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             37 CALLS         242 TOTAL
-                     EDM=0.000693776    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02838e+02   2.97826e-01   1.28795e-03  -1.05531e-02
-   2  sg_p1        1.60782e+01   2.67978e-01   1.80577e-03   2.44112e-02
-   3  sg_p2        4.64332e+02   1.37627e+01   1.17387e-02   2.07821e-01
-   4  sg_p3        1.14468e+02   2.01486e+01   2.64964e-02   5.48597e-02
-   5  sg_p4        9.27839e-01   7.15691e-03   2.03796e-03   1.57814e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15889.1 FROM MIGRAD    STATUS=CONVERGED     254 CALLS         255 TOTAL
-                     EDM=9.17556e-06    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.8 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02840e+02   2.97434e-01   8.32709e-05  -7.82024e-03
-   2  sg_p1        1.60782e+01   2.67892e-01  -2.85162e-06   4.43301e-03
-   3  sg_p2        4.63894e+02   1.38330e+01  -4.87307e-03  -3.70669e-03
-   4  sg_p3        1.14016e+02   1.92315e+01  -7.40995e-03  -1.25650e-02
-   5  sg_p4        9.27892e-01   7.16442e-03   2.06750e-04   1.26344e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.847e-02 -6.452e-03 -2.568e-01 -8.771e-01 -8.776e-05 
- -6.452e-03  7.178e-02 -9.238e-01  1.447e+00  8.030e-04 
- -2.568e-01 -9.238e-01  1.929e+02  9.107e+00 -4.221e-02 
- -8.771e-01  1.447e+00  9.107e+00  3.827e+02  1.223e-02 
- -8.776e-05  8.030e-04 -4.221e-02  1.223e-02  5.134e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17624   1.000 -0.081 -0.062 -0.151 -0.041
-        2  0.49356  -0.081  1.000 -0.248  0.276  0.418
-        3  0.44761  -0.062 -0.248  1.000  0.034 -0.424
-        4  0.31902  -0.151  0.276  0.034  1.000  0.087
-        5  0.53440  -0.041  0.418 -0.424  0.087  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             39 CALLS         294 TOTAL
-                     EDM=3.03558e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.02840e+02   2.97751e-01   5.15179e-04   1.42457e-01
-   2  sg_p1        1.60782e+01   2.68158e-01   7.22309e-04  -2.12184e-01
-   3  sg_p2        4.63894e+02   1.36806e+01   1.19116e-02  -3.33579e-01
-   4  sg_p3        1.14016e+02   1.97620e+01   2.70009e-02   5.07434e-01
-   5  sg_p4        9.27892e-01   7.16159e-03   2.03722e-03   1.02707e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.866e-02 -6.740e-03 -2.651e-01 -9.501e-01 -8.838e-05 
- -6.740e-03  7.192e-02 -8.846e-01  1.490e+00  8.010e-04 
- -2.651e-01 -8.846e-01  1.886e+02  2.011e+01 -4.167e-02 
- -9.501e-01  1.490e+00  2.011e+01  4.049e+02  1.100e-02 
- -8.838e-05  8.010e-04 -4.167e-02  1.100e-02  5.130e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18198   1.000 -0.084 -0.065 -0.159 -0.041
-        2  0.49512  -0.084  1.000 -0.240  0.276  0.417
-        3  0.45379  -0.065 -0.240  1.000  0.073 -0.424
-        4  0.33483  -0.159  0.276  0.073  1.000  0.076
-        5  0.53499  -0.041  0.417 -0.424  0.076  1.000
-500
-502.84 +- 0.297751
-16.0782 +- 0.268158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16477.8 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.86200e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.57301e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.88126e+02
-   4  sg_p3        4.29079e+01   1.40000e+01  -5.58468e-01   8.72628e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.83965e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             33 CALLS         278 TOTAL
-                     EDM=0.00228562    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03601e+02   3.08955e-01   1.34585e-03   3.00627e-01
-   2  sg_p1        1.67537e+01   2.75890e-01   1.84217e-03   1.71804e-01
-   3  sg_p2        4.49584e+02   2.10318e+01   1.89093e-02  -1.86124e-01
-   4  sg_p3        1.37208e+02   2.92076e+01   6.33389e-02  -7.21712e-02
-   5  sg_p4        9.31031e-01   7.12595e-03   2.05778e-03  -2.05034e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15837 FROM MIGRAD    STATUS=CONVERGED     290 CALLS         291 TOTAL
-                     EDM=9.94244e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   5.2 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03597e+02   3.10422e-01  -2.20880e-04   7.26010e-03
-   2  sg_p1        1.67527e+01   2.74763e-01  -8.54234e-05  -2.36066e-02
-   3  sg_p2        4.50350e+02   1.99263e+01   9.15141e-03   7.10266e-03
-   4  sg_p3        1.38778e+02   3.01976e+01   4.00555e-02  -1.66420e-02
-   5  sg_p4        9.30902e-01   7.07722e-03  -5.07201e-04  -3.19630e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.637e-02 -7.329e-03 -9.169e-02 -1.905e+00 -5.097e-05 
- -7.329e-03  7.551e-02 -1.688e+00  2.407e+00  7.425e-04 
- -9.169e-02 -1.688e+00  4.048e+02 -1.012e+02 -6.013e-02 
- -1.905e+00  2.407e+00 -1.012e+02  1.218e+03 -1.228e-02 
- -5.097e-05  7.425e-04 -6.013e-02 -1.228e-02  5.010e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19304   1.000 -0.086 -0.015 -0.176 -0.023
-        2  0.48229  -0.086  1.000 -0.305  0.251  0.382
-        3  0.47089  -0.015 -0.305  1.000 -0.144 -0.422
-        4  0.36202  -0.176  0.251 -0.144  1.000 -0.050
-        5  0.52945  -0.023  0.382 -0.422 -0.050  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             41 CALLS         332 TOTAL
-                     EDM=6.005e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03597e+02   3.09136e-01   1.34573e-03   1.80817e-01
-   2  sg_p1        1.67527e+01   2.75606e-01   1.84171e-03  -1.52530e-01
-   3  sg_p2        4.50350e+02   2.12182e+01   1.91941e-02  -4.89291e-01
-   4  sg_p3        1.38778e+02   3.03916e+01   7.62661e-02   9.96701e-01
-   5  sg_p4        9.30902e-01   7.12819e-03   2.05809e-03   1.03882e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.557e-02 -6.148e-03 -1.876e-01 -1.605e+00 -4.622e-05 
- -6.148e-03  7.597e-02 -1.916e+00  2.306e+00  7.753e-04 
- -1.876e-01 -1.916e+00  4.602e+02 -1.123e+02 -6.665e-02 
- -1.605e+00  2.306e+00 -1.123e+02  1.240e+03 -9.523e-03 
- -4.622e-05  7.753e-04 -6.665e-02 -9.523e-03  5.082e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17020   1.000 -0.072 -0.028 -0.147 -0.021
-        2  0.48615  -0.072  1.000 -0.324  0.238  0.395
-        3  0.48715  -0.028 -0.324  1.000 -0.149 -0.436
-        4  0.33778  -0.147  0.238 -0.149  1.000 -0.038
-        5  0.53739  -0.021  0.395 -0.436 -0.038  1.000
-500
-503.597 +- 0.309136
-16.7527 +- 0.275606
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16981.8 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.05566e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.79846e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.38683e+02
-   4  sg_p3        3.85734e+01   1.40000e+01  -6.33300e-01  -1.09954e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.06818e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             33 CALLS         261 TOTAL
-                     EDM=0.000884701    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03638e+02   2.96476e-01   1.30613e-03  -5.89524e-02
-   2  sg_p1        1.61908e+01   2.68536e-01   1.81793e-03  -9.06324e-02
-   3  sg_p2        4.64623e+02   1.46357e+01   1.25261e-02   2.17668e-01
-   4  sg_p3        1.18516e+02   2.19593e+01   3.03884e-02   5.10539e-02
-   5  sg_p4        9.27881e-01   7.13588e-03   2.04703e-03   7.03448e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16302.6 FROM MIGRAD    STATUS=CONVERGED     273 CALLS         274 TOTAL
-                     EDM=1.35619e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   3.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03639e+02   2.96022e-01   9.77721e-05  -9.91628e-03
-   2  sg_p1        1.61919e+01   2.69186e-01   9.95735e-05   3.66259e-03
-   3  sg_p2        4.64075e+02   1.47143e+01  -6.09837e-03  -4.10999e-03
-   4  sg_p3        1.17996e+02   2.09578e+01  -8.86611e-03  -1.33437e-02
-   5  sg_p4        9.27974e-01   7.15584e-03   3.61873e-04   3.29176e-06
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.764e-02 -6.654e-03 -2.734e-01 -9.694e-01 -8.441e-05 
- -6.654e-03  7.247e-02 -1.035e+00  1.644e+00  8.204e-04 
- -2.734e-01 -1.035e+00  2.185e+02  1.062e+01 -4.631e-02 
- -9.694e-01  1.644e+00  1.062e+01  4.592e+02  1.234e-02 
- -8.441e-05  8.204e-04 -4.631e-02  1.234e-02  5.122e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17873   1.000 -0.083 -0.062 -0.153 -0.040
-        2  0.50630  -0.083  1.000 -0.260  0.285  0.426
-        3  0.46142  -0.062 -0.260  1.000  0.034 -0.438
-        4  0.32893  -0.153  0.285  0.034  1.000  0.080
-        5  0.54522  -0.040  0.426 -0.438  0.080  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             41 CALLS         315 TOTAL
-                     EDM=4.81522e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03639e+02   2.96371e-01   1.30576e-03   1.82991e-01
-   2  sg_p1        1.61919e+01   2.68611e-01   1.81691e-03  -2.02075e-01
-   3  sg_p2        4.64075e+02   1.45352e+01   1.27410e-02  -3.31572e-01
-   4  sg_p3        1.17996e+02   2.14738e+01   3.10172e-02   5.73772e-01
-   5  sg_p4        9.27974e-01   7.13651e-03   2.04596e-03   1.02738e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.784e-02 -6.886e-03 -2.835e-01 -1.054e+00 -8.375e-05 
- -6.886e-03  7.217e-02 -9.670e-01  1.646e+00  8.068e-04 
- -2.835e-01 -9.670e-01  2.131e+02  2.545e+01 -4.521e-02 
- -1.054e+00  1.646e+00  2.545e+01  4.832e+02  9.584e-03 
- -8.375e-05  8.068e-04 -4.521e-02  9.584e-03  5.094e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18509   1.000 -0.086 -0.066 -0.162 -0.040
-        2  0.50306  -0.086  1.000 -0.247  0.279  0.421
-        3  0.46399  -0.066 -0.247  1.000  0.079 -0.434
-        4  0.34172  -0.162  0.279  0.079  1.000  0.061
-        5  0.54250  -0.040  0.421 -0.434  0.061  1.000
-500
-503.639 +- 0.296371
-16.1919 +- 0.268611
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15760.3 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.68945e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.51251e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.65516e+02
-   4  sg_p3        4.28306e+01   1.40000e+01  -5.59769e-01   7.96964e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.63393e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.00917808    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03544e+02   3.11234e-01   1.32359e-03   3.99151e-02
-   2  sg_p1        1.64644e+01   2.78325e-01   1.82583e-03   8.26169e-02
-   3  sg_p2        4.53596e+02   1.89196e+01   1.66163e-02  -4.74680e-01
-   4  sg_p3        1.30948e+02   2.69531e+01   4.74560e-02  -1.69826e-01
-   5  sg_p4        9.28806e-01   7.28371e-03   2.04213e-03  -7.21183e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15131 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=1.59446e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   8.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03538e+02   3.12525e-01  -4.41178e-05  -1.54585e-02
-   2  sg_p1        1.64635e+01   2.80799e-01   1.36626e-04   1.03835e-02
-   3  sg_p2        4.55327e+02   1.85938e+01  -2.83276e-04   1.31641e-03
-   4  sg_p3        1.33880e+02   3.06660e+01   1.19135e-02  -8.53961e-03
-   5  sg_p4        9.28489e-01   7.24733e-03   2.34109e-05  -1.19312e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.768e-02 -8.237e-03 -1.269e-01 -1.811e+00 -7.804e-05 
- -8.237e-03  7.886e-02 -1.583e+00  2.810e+00  7.851e-04 
- -1.269e-01 -1.583e+00  3.512e+02 -7.894e+01 -5.706e-02 
- -1.811e+00  2.810e+00 -7.894e+01  1.142e+03  2.159e-04 
- -7.804e-05  7.851e-04 -5.706e-02  2.159e-04  5.254e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19100   1.000 -0.094 -0.022 -0.171 -0.034
-        2  0.50054  -0.094  1.000 -0.301  0.296  0.386
-        3  0.45764  -0.022 -0.301  1.000 -0.125 -0.420
-        4  0.36350  -0.171  0.296 -0.125  1.000  0.001
-        5  0.51853  -0.034  0.386 -0.420  0.001  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             39 CALLS         332 TOTAL
-                     EDM=8.18863e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03538e+02   3.11671e-01   1.32357e-03   1.77834e-01
-   2  sg_p1        1.64635e+01   2.78053e-01   1.82591e-03  -1.78022e-01
-   3  sg_p2        4.55327e+02   1.93050e+01   1.69364e-02  -4.30811e-01
-   4  sg_p3        1.33880e+02   2.97612e+01   5.65680e-02   8.78399e-01
-   5  sg_p4        9.28489e-01   7.28924e-03   2.04602e-03   1.02938e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.715e-02 -7.165e-03 -2.210e-01 -1.574e+00 -6.699e-05 
- -7.165e-03  7.733e-02 -1.562e+00  2.322e+00  7.859e-04 
- -2.210e-01 -1.562e+00  3.791e+02 -4.296e+01 -6.069e-02 
- -1.574e+00  2.322e+00 -4.296e+01  1.061e+03 -4.723e-03 
- -6.699e-05  7.859e-04 -6.069e-02 -4.723e-03  5.315e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17762   1.000 -0.083 -0.036 -0.155 -0.029
-        2  0.48429  -0.083  1.000 -0.289  0.256  0.388
-        3  0.45436  -0.036 -0.289  1.000 -0.068 -0.428
-        4  0.32111  -0.155  0.256 -0.068  1.000 -0.020
-        5  0.52435  -0.029  0.388 -0.428 -0.020  1.000
-500
-503.538 +- 0.311671
-16.4635 +- 0.278053
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17965.7 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.19180e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.07558e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66310e+02
-   4  sg_p3        4.20660e+01   1.40000e+01  -5.72713e-01  -5.27926e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.26010e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             31 CALLS         273 TOTAL
-                     EDM=0.0158866    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03553e+02   2.92162e-01   1.32752e-03   1.92047e-01
-   2  sg_p1        1.64746e+01   2.61492e-01   1.83264e-03   9.93853e-02
-   3  sg_p2        4.51603e+02   1.81044e+01   1.70017e-02  -6.77062e-01
-   4  sg_p3        1.32529e+02   2.52771e+01   4.84704e-02  -2.30017e-01
-   5  sg_p4        9.26851e-01   6.88981e-03   2.03844e-03  -1.42588e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17247.2 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=4.77096e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03545e+02   2.93438e-01  -5.87528e-05  -3.40309e-02
-   2  sg_p1        1.64727e+01   2.63670e-01   1.74859e-04   2.14591e-02
-   3  sg_p2        4.53798e+02   1.77853e+01  -4.09286e-04   3.31652e-04
-   4  sg_p3        1.35998e+02   2.90570e+01   1.70332e-02  -1.52432e-02
-   5  sg_p4        9.26443e-01   6.85608e-03   1.63285e-05  -2.74842e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.611e-02 -7.218e-03 -7.462e-02 -1.599e+00 -6.663e-05 
- -7.218e-03  6.953e-02 -1.469e+00  2.461e+00  6.909e-04 
- -7.462e-02 -1.469e+00  3.210e+02 -8.810e+01 -5.081e-02 
- -1.599e+00  2.461e+00 -8.810e+01  1.030e+03 -2.764e-03 
- -6.663e-05  6.909e-04 -5.081e-02 -2.764e-03  4.702e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18896   1.000 -0.093 -0.014 -0.170 -0.033
-        2  0.49890  -0.093  1.000 -0.311  0.291  0.382
-        3  0.46311  -0.014 -0.311  1.000 -0.153 -0.414
-        4  0.37220  -0.170  0.291 -0.153  1.000 -0.013
-        5  0.51605  -0.033  0.382 -0.414 -0.013  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             37 CALLS         332 TOTAL
-                     EDM=2.5481e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03545e+02   2.92634e-01   1.32733e-03   1.78200e-01
-   2  sg_p1        1.64727e+01   2.61019e-01   1.83240e-03  -1.77216e-01
-   3  sg_p2        4.53798e+02   1.84402e+01   1.73428e-02  -4.48601e-01
-   4  sg_p3        1.35998e+02   2.83987e+01   6.04366e-02   9.27242e-01
-   5  sg_p4        9.26443e-01   6.89823e-03   2.04324e-03   1.02149e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.564e-02 -6.233e-03 -1.752e-01 -1.395e+00 -5.632e-05 
- -6.233e-03  6.814e-02 -1.435e+00  2.042e+00  6.927e-04 
- -1.752e-01 -1.435e+00  3.454e+02 -5.423e+01 -5.416e-02 
- -1.395e+00  2.042e+00 -5.423e+01  9.726e+02 -6.753e-03 
- -5.632e-05  6.927e-04 -5.416e-02 -6.753e-03  4.760e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17564   1.000 -0.082 -0.032 -0.153 -0.028
-        2  0.48195  -0.082  1.000 -0.296  0.251  0.385
-        3  0.45633  -0.032 -0.296  1.000 -0.094 -0.422
-        4  0.32602  -0.153  0.251 -0.094  1.000 -0.031
-        5  0.52240  -0.028  0.385 -0.422 -0.031  1.000
-500
-503.545 +- 0.292634
-16.4727 +- 0.261019
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 37 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 57 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 59 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 110 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 503.541 +- 0.301948 (stat) - 0.701904 + 0.678912 (syst); -0.717957/+0.695495 (total)
-   Uncertainty on sg_p1 = 16.4684 +- 0.269373 (stat) - 0.390296 + 0.284252 (syst); -0.412882/+0.314547 (total)
-   Uncertainty on sg_p2 = 454.55 +- 18.8889 (stat) - 4.20037 + 9.52429 (syst); -10.3364/+13.4131 (total)
-   Uncertainty on sg_p3 = 135.056 +- 29.1667 (stat) - 21.0404 + 3.7219 (syst); -25.6003/+15.0508 (total)
-   Uncertainty on sg_p4 = 0.927449 +- 0.00708973 (stat) - 0.00100662 + 0.0034528 (syst); -0.00368502/+0.00494853 (total) 
-   === Baseline plot === </br>
-   norm = 1319.62
-JEC     lnN   1.00347  -
-JER     lnN   1.01686  -
-btag    lnN   1.06496  -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out
deleted file mode 100644
index 59bb2bf..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00042264  -0.00042264/+0.0328153  (68% CL)
-nll S+B -> -0.00671913  nll B -> -0.00663103
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out
deleted file mode 100644
index 77b0630..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.066891:	q_mu = 3.83603	q_A  = 3.82471	CLsb = 0.02508	CLb  = 0.49885	CLs  = 0.05028
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0669
-Expected  2.5%: r < 0.0358
-Expected 16.0%: r < 0.0479
-Expected 50.0%: r < 0.0669
-Expected 84.0%: r < 0.0960
-Expected 97.5%: r < 0.1325
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt
deleted file mode 100644
index 3909453..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1319.62 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06496    -
-JER       lnN     1.01686   - 
-JEC       lnN     1.00347   -
-trigger   lnN     1.10    -
-PDF       lnN     1.01997778164   -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/pdf.log
deleted file mode 100644
index 22b256a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=7.73723 FROM MIGRAD    STATUS=CONVERGED      68 CALLS          69 TOTAL
-                     EDM=1.48553e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.55193e+01   2.01523e+00   2.33208e-03   3.31664e-05
-   2  Mean         9.99114e-01   2.37917e-03   3.42556e-06  -1.77868e-04
-   3  Sigma        1.99778e-02   2.01544e-03   4.15348e-05   8.52046e-04
-0.999114272503 +/- 0.00237917106011
-0.0199777816408 +/- 0.00201543879959
-PDF lnN 1.01997778164
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/signal500_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/signal500_sig.log
deleted file mode 100644
index 3014dec..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_500_novo_285_624/signal500_sig.log
+++ /dev/null
@@ -1,916 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18297.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   4.88508e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.52283e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.04492e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.27139e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.31849e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM MIGRAD    STATUS=CONVERGED     270 CALLS         271 TOTAL
-                     EDM=0.000209103    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.82781e+02   4.91816e-01   1.54936e-03   4.63902e-01
-   2  sg_p1        2.77322e+01   3.77130e-01   2.11298e-03  -7.95545e-04
-   3  sg_p2        4.00000e+02   7.22234e+00   3.62181e-02   1.52038e-02
-   4  sg_p3        9.99995e+01   7.83688e+00   5.52124e-02  -1.33082e-02
-   5  sg_p4        9.49597e-01   5.34566e-03   2.17525e-03   3.38347e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.201e-02  7.239e-06  6.832e-04 -2.726e-04 
- -1.201e-02  1.423e-01 -5.971e-04  4.705e-05  4.980e-04 
-  7.239e-06 -5.971e-04  7.635e-03 -3.089e-06 -2.189e-05 
-  6.832e-04  4.705e-05 -3.089e-06  1.671e-02  2.174e-06 
- -2.726e-04  4.980e-04 -2.189e-05  2.174e-06  2.858e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11194   1.000 -0.065  0.000  0.011 -0.104
-        2  0.25018  -0.065  1.000 -0.018  0.001  0.247
-        3  0.04761   0.000 -0.018  1.000 -0.000 -0.047
-        4  0.01159   0.011  0.001 -0.000  1.000  0.003
-        5  0.26559  -0.104  0.247 -0.047  0.003  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM HESSE     STATUS=OK             31 CALLS         302 TOTAL
-                     EDM=0.000214101    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.82781e+02   4.91810e-01   3.09872e-04  -2.43026e-01
-   2  sg_p1        2.77322e+01   3.77150e-01   8.45194e-05   2.59399e-01
-   3  sg_p2        4.00000e+02   7.23045e+00   7.24363e-03  -1.56845e+00
-   4  sg_p3        9.99995e+01   7.86694e+00   1.10425e-02   1.56600e+00
-   5  sg_p4        9.49597e-01   5.34101e-03   4.35051e-04   1.11793e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.221e-02  2.317e-06  2.181e-05 -2.728e-04 
- -1.221e-02  1.423e-01 -1.751e-04  1.477e-06  4.978e-04 
-  2.317e-06 -1.751e-04  7.644e-03 -2.852e-08 -6.407e-06 
-  2.181e-05  1.477e-06 -2.852e-08  1.678e-02  6.944e-08 
- -2.728e-04  4.978e-04 -6.407e-06  6.944e-08  2.853e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11182   1.000 -0.066  0.000  0.000 -0.104
-        2  0.25038  -0.066  1.000 -0.005  0.000  0.247
-        3  0.01394   0.000 -0.005  1.000 -0.000 -0.014
-        4  0.00037   0.000  0.000 -0.000  1.000  0.000
-        5  0.26252  -0.104  0.247 -0.014  0.000  1.000
-500
-482.781 +- 0.49181
-27.7322 +- 0.37715
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18169.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   3.31882e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   8.82382e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   9.40789e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.28474e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.45518e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM MIGRAD    STATUS=CONVERGED     298 CALLS         299 TOTAL
-                     EDM=6.02039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.84762e+02   4.94191e-01   1.52434e-03   1.30913e-01
-   2  sg_p1        2.76557e+01   3.74902e-01   2.09728e-03   4.83776e-02
-   3  sg_p2        4.00000e+02   4.37949e+00   2.80592e-02** at limit **
-   4  sg_p3        9.99992e+01   6.41285e+01   1.21382e-01   2.55150e-03
-   5  sg_p4        9.47779e-01   5.38139e-03   2.15294e-03  -2.62881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.442e-01 -1.391e-02  1.965e-06  1.328e-02 -2.985e-04 
- -1.391e-02  1.406e-01 -2.130e-05 -8.696e-04  4.743e-04 
-  1.965e-06 -2.130e-05  4.142e-05 -4.503e-06 -8.642e-07 
-  1.328e-02 -8.696e-04 -4.503e-06  1.378e-01  3.311e-05 
- -2.985e-04  4.743e-04 -8.642e-07  3.311e-05  2.896e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14334   1.000 -0.075  0.001  0.072 -0.112
-        2  0.24021  -0.075  1.000 -0.009 -0.006  0.235
-        3  0.02528   0.001 -0.009  1.000 -0.002 -0.025
-        4  0.07681   0.072 -0.006 -0.002  1.000  0.017
-        5  0.25571  -0.112  0.235 -0.025  0.017  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM HESSE     STATUS=OK             35 CALLS         334 TOTAL
-                     EDM=5.16959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.84762e+02   5.00293e-01   3.04869e-04  -1.75493e-01
-   2  sg_p1        2.76557e+01   3.74977e-01   8.38911e-05   2.54605e-01
-   3  sg_p2        4.00000e+02   4.38207e+00   5.61185e-03  -1.57057e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.99992e+01   1.55865e+01   4.95239e-01   1.57658e+00
-   5  sg_p4        9.47779e-01   5.38465e-03   4.30589e-04   1.10968e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.503e-01 -1.437e-02 -1.054e-07  1.912e-02 -2.821e-04 
- -1.437e-02  1.406e-01 -4.527e-06 -8.788e-04  4.745e-04 
- -1.054e-07 -4.527e-06  4.144e-05 -1.618e-06 -1.856e-07 
-  1.912e-02 -8.788e-04 -1.618e-06  4.993e-02  5.148e-05 
- -2.821e-04  4.745e-04 -1.856e-07  5.148e-05  2.900e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21046   1.000 -0.077 -0.000  0.171 -0.105
-        2  0.24099  -0.077  1.000 -0.002 -0.010  0.235
-        3  0.00549  -0.000 -0.002  1.000 -0.001 -0.005
-        4  0.18195   0.171 -0.010 -0.001  1.000  0.043
-        5  0.25791  -0.105  0.235 -0.005  0.043  1.000
-500
-484.762 +- 0.500293
-27.6557 +- 0.374977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18067.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   6.30906e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.68366e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.15954e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.16092e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.26605e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=3.64156e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.80603e+02   4.87655e-01   1.55641e-03   1.00438e-01
-   2  sg_p1        2.73597e+01   3.75999e-01   2.07241e-03  -3.88766e-02
-   3  sg_p2        4.00000e+02   7.70615e+00   3.73444e-02  -1.20875e-02
-   4  sg_p3        9.99999e+01   9.07676e+00   5.91616e-02   4.30185e-03
-   5  sg_p4        9.52020e-01   5.29904e-03   2.18424e-03  -2.42849e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.252e-02  1.605e-06  3.978e-04 -2.735e-04 
- -1.252e-02  1.414e-01 -4.268e-04  1.441e-06  5.110e-04 
-  1.605e-06 -4.268e-04  5.890e-03 -4.600e-07 -1.533e-05 
-  3.978e-04  1.441e-06 -4.600e-07  2.758e-03  4.935e-07 
- -2.735e-04  5.110e-04 -1.533e-05  4.935e-07  2.809e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11523   1.000 -0.068  0.000  0.016 -0.106
-        2  0.25980  -0.068  1.000 -0.015  0.000  0.256
-        3  0.03828   0.000 -0.015  1.000 -0.000 -0.038
-        4  0.01591   0.016  0.000 -0.000  1.000  0.002
-        5  0.27342  -0.106  0.256 -0.038  0.002  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM HESSE     STATUS=OK             31 CALLS         311 TOTAL
-                     EDM=3.66903e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.80603e+02   4.87622e-01   3.11281e-04  -3.18584e-01
-   2  sg_p1        2.73597e+01   3.76029e-01   8.28962e-05   2.36108e-01
-   3  sg_p2        4.00000e+02   7.72173e+00   7.46888e-03  -1.57279e+00
-   4  sg_p3        9.99999e+01   9.11980e+00   1.18323e-02   1.57260e+00
-   5  sg_p4        9.52020e-01   5.29594e-03   8.73698e-05   1.12913e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.272e-02  2.233e-07  9.824e-05 -2.737e-04 
- -1.272e-02  1.414e-01 -4.487e-05  2.340e-07  5.111e-04 
-  2.233e-07 -4.487e-05  5.902e-03 -1.148e-08 -1.609e-06 
-  9.824e-05  2.340e-07 -1.148e-08  2.771e-03  1.224e-07 
- -2.737e-04  5.111e-04 -1.609e-06  1.224e-07  2.805e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11467   1.000 -0.069  0.000  0.004 -0.106
-        2  0.26008  -0.069  1.000 -0.002  0.000  0.257
-        3  0.00402   0.000 -0.002  1.000 -0.000 -0.004
-        4  0.00392   0.004  0.000 -0.000  1.000  0.000
-        5  0.27142  -0.106  0.257 -0.004  0.000  1.000
-500
-480.603 +- 0.487622
-27.3597 +- 0.376029
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16835.6 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.93448e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.78837e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66272e+02
-   4  sg_p3        4.24477e+01   1.40000e+01  -5.66239e-01   4.08068e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.94465e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.0123886    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03549e+02   3.01469e-01   1.32569e-03   7.22248e-02
-   2  sg_p1        1.64694e+01   2.69674e-01   1.82958e-03   1.11175e-01
-   3  sg_p2        4.52623e+02   1.84688e+01   1.67733e-02  -5.64013e-01
-   4  sg_p3        1.31659e+02   2.60244e+01   4.76520e-02  -2.04899e-01
-   5  sg_p4        9.27815e-01   7.08262e-03   2.04007e-03  -6.32432e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16163.1 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=1.39803e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03541e+02   3.02714e-01  -6.04564e-05  -2.41635e-02
-   2  sg_p1        1.64684e+01   2.71856e-01   1.82456e-04   2.35248e-02
-   3  sg_p2        4.54550e+02   1.81378e+01  -3.71817e-04   2.34305e-03
-   4  sg_p3        1.35056e+02   2.96709e+01   1.70336e-02  -8.15967e-03
-   5  sg_p4        9.27449e-01   7.04529e-03   2.19134e-05  -1.27756e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.164e-02 -7.657e-03 -1.012e-01 -1.679e+00 -7.191e-05 
- -7.657e-03  7.392e-02 -1.518e+00  2.592e+00  7.352e-04 
- -1.012e-01 -1.518e+00  3.340e+02 -8.231e+01 -5.363e-02 
- -1.679e+00  2.592e+00 -8.231e+01  1.069e+03 -1.492e-03 
- -7.191e-05  7.352e-04 -5.363e-02 -1.492e-03  4.965e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18907   1.000 -0.093 -0.018 -0.170 -0.034
-        2  0.49868  -0.093  1.000 -0.305  0.292  0.384
-        3  0.45946  -0.018 -0.305  1.000 -0.138 -0.416
-        4  0.36545  -0.170  0.292 -0.138  1.000 -0.006
-        5  0.51683  -0.034  0.384 -0.416 -0.006  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             39 CALLS         333 TOTAL
-                     EDM=4.95712e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03541e+02   3.01948e-01   1.32548e-03   1.78010e-01
-   2  sg_p1        1.64684e+01   2.69373e-01   1.82921e-03  -1.77589e-01
-   3  sg_p2        4.54550e+02   1.88889e+01   1.71373e-02  -4.39830e-01
-   4  sg_p3        1.35056e+02   2.91667e+01   5.83968e-02   9.05144e-01
-   5  sg_p4        9.27449e-01   7.08973e-03   2.04457e-03   1.02536e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.118e-02 -6.694e-03 -1.967e-01 -1.492e+00 -6.118e-05 
- -6.694e-03  7.258e-02 -1.499e+00  2.192e+00  7.371e-04 
- -1.967e-01 -1.499e+00  3.627e+02 -4.939e+01 -5.738e-02 
- -1.492e+00  2.192e+00 -4.939e+01  1.025e+03 -5.946e-03 
- -6.118e-05  7.371e-04 -5.738e-02 -5.946e-03  5.028e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17693   1.000 -0.082 -0.034 -0.154 -0.029
-        2  0.48331  -0.082  1.000 -0.292  0.254  0.386
-        3  0.45514  -0.034 -0.292  1.000 -0.081 -0.425
-        4  0.32411  -0.154  0.254 -0.081  1.000 -0.026
-        5  0.52326  -0.029  0.386 -0.425 -0.026  1.000
-500
-503.541 +- 0.301948
-16.4684 +- 0.269373
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16739.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.55651e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.48786e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.68451e+02
-   4  sg_p3        4.32221e+01   1.40000e+01  -5.53184e-01   1.18283e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.96034e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=8.68132e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.04220e+02   3.07707e-01   1.35237e-03   1.08303e-01
-   2  sg_p1        1.66795e+01   2.77507e-01   1.84894e-03   6.94551e-02
-   3  sg_p2        4.62822e+02   1.91078e+01   1.68854e-02  -1.14748e-02
-   4  sg_p3        1.35582e+02   3.03789e+01   6.57946e-02   1.08838e-02
-   5  sg_p4        9.28230e-01   7.23504e-03   2.06982e-03  -3.02724e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.469e-02 -7.947e-03 -3.583e-01 -1.715e+00 -8.078e-05 
- -7.947e-03  7.703e-02 -1.315e+00  2.634e+00  8.091e-04 
- -3.583e-01 -1.315e+00  3.708e+02  4.728e+01 -6.075e-02 
- -1.715e+00  2.634e+00  4.728e+01  1.145e+03  2.032e-03 
- -8.078e-05  8.091e-04 -6.075e-02  2.032e-03  5.236e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18853   1.000 -0.093 -0.060 -0.165 -0.036
-        2  0.50124  -0.093  1.000 -0.246  0.281  0.403
-        3  0.46006  -0.060 -0.246  1.000  0.073 -0.436
-        4  0.34759  -0.165  0.281  0.073  1.000  0.008
-        5  0.53639  -0.036  0.403 -0.436  0.008  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM HESSE     STATUS=OK             31 CALLS         345 TOTAL
-                     EDM=9.10947e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.04220e+02   3.08377e-01   2.70474e-04   2.12615e-01
-   2  sg_p1        1.66795e+01   2.80568e-01   3.69788e-04  -1.58971e-01
-   3  sg_p2        4.62822e+02   1.90695e+01   6.75418e-04  -3.45556e-01
-   4  sg_p3        1.35582e+02   3.07077e+01   2.63178e-03   9.17410e-01
-   5  sg_p4        9.28230e-01   7.23811e-03   4.13965e-04   1.02837e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.510e-02 -8.877e-03 -3.212e-01 -1.872e+00 -9.078e-05 
- -8.877e-03  7.873e-02 -1.370e+00  3.011e+00  8.254e-04 
- -3.212e-01 -1.370e+00  3.693e+02  2.368e+01 -6.065e-02 
- -1.872e+00  3.011e+00  2.368e+01  1.177e+03  7.626e-03 
- -9.078e-05  8.254e-04 -6.065e-02  7.626e-03  5.240e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19932   1.000 -0.103 -0.054 -0.177 -0.041
-        2  0.51720  -0.103  1.000 -0.254  0.313  0.406
-        3  0.45661  -0.054 -0.254  1.000  0.036 -0.436
-        4  0.36806  -0.177  0.313  0.036  1.000  0.031
-        5  0.53695  -0.041  0.406 -0.436  0.031  1.000
-500
-504.22 +- 0.308377
-16.6795 +- 0.280568
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.23108e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.18946e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.42436e+02
-   4  sg_p3        4.43542e+01   1.40000e+01  -5.34286e-01   2.49400e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.66244e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             37 CALLS         242 TOTAL
-                     EDM=0.000693776    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02838e+02   2.97826e-01   1.28795e-03  -1.05531e-02
-   2  sg_p1        1.60782e+01   2.67978e-01   1.80577e-03   2.44112e-02
-   3  sg_p2        4.64332e+02   1.37627e+01   1.17387e-02   2.07821e-01
-   4  sg_p3        1.14468e+02   2.01486e+01   2.64964e-02   5.48597e-02
-   5  sg_p4        9.27839e-01   7.15691e-03   2.03796e-03   1.57814e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15889.1 FROM MIGRAD    STATUS=CONVERGED     254 CALLS         255 TOTAL
-                     EDM=9.17556e-06    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.8 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02840e+02   2.97434e-01   8.32709e-05  -7.82024e-03
-   2  sg_p1        1.60782e+01   2.67892e-01  -2.85162e-06   4.43301e-03
-   3  sg_p2        4.63894e+02   1.38330e+01  -4.87307e-03  -3.70669e-03
-   4  sg_p3        1.14016e+02   1.92315e+01  -7.40995e-03  -1.25650e-02
-   5  sg_p4        9.27892e-01   7.16442e-03   2.06750e-04   1.26344e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.847e-02 -6.452e-03 -2.568e-01 -8.771e-01 -8.776e-05 
- -6.452e-03  7.178e-02 -9.238e-01  1.447e+00  8.030e-04 
- -2.568e-01 -9.238e-01  1.929e+02  9.107e+00 -4.221e-02 
- -8.771e-01  1.447e+00  9.107e+00  3.827e+02  1.223e-02 
- -8.776e-05  8.030e-04 -4.221e-02  1.223e-02  5.134e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17624   1.000 -0.081 -0.062 -0.151 -0.041
-        2  0.49356  -0.081  1.000 -0.248  0.276  0.418
-        3  0.44761  -0.062 -0.248  1.000  0.034 -0.424
-        4  0.31902  -0.151  0.276  0.034  1.000  0.087
-        5  0.53440  -0.041  0.418 -0.424  0.087  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             39 CALLS         294 TOTAL
-                     EDM=3.03558e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.02840e+02   2.97751e-01   5.15179e-04   1.42457e-01
-   2  sg_p1        1.60782e+01   2.68158e-01   7.22309e-04  -2.12184e-01
-   3  sg_p2        4.63894e+02   1.36806e+01   1.19116e-02  -3.33579e-01
-   4  sg_p3        1.14016e+02   1.97620e+01   2.70009e-02   5.07434e-01
-   5  sg_p4        9.27892e-01   7.16159e-03   2.03722e-03   1.02707e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.866e-02 -6.740e-03 -2.651e-01 -9.501e-01 -8.838e-05 
- -6.740e-03  7.192e-02 -8.846e-01  1.490e+00  8.010e-04 
- -2.651e-01 -8.846e-01  1.886e+02  2.011e+01 -4.167e-02 
- -9.501e-01  1.490e+00  2.011e+01  4.049e+02  1.100e-02 
- -8.838e-05  8.010e-04 -4.167e-02  1.100e-02  5.130e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18198   1.000 -0.084 -0.065 -0.159 -0.041
-        2  0.49512  -0.084  1.000 -0.240  0.276  0.417
-        3  0.45379  -0.065 -0.240  1.000  0.073 -0.424
-        4  0.33483  -0.159  0.276  0.073  1.000  0.076
-        5  0.53499  -0.041  0.417 -0.424  0.076  1.000
-500
-502.84 +- 0.297751
-16.0782 +- 0.268158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16477.8 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.86200e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.57301e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.88126e+02
-   4  sg_p3        4.29079e+01   1.40000e+01  -5.58468e-01   8.72628e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.83965e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             33 CALLS         278 TOTAL
-                     EDM=0.00228562    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03601e+02   3.08955e-01   1.34585e-03   3.00627e-01
-   2  sg_p1        1.67537e+01   2.75890e-01   1.84217e-03   1.71804e-01
-   3  sg_p2        4.49584e+02   2.10318e+01   1.89093e-02  -1.86124e-01
-   4  sg_p3        1.37208e+02   2.92076e+01   6.33389e-02  -7.21712e-02
-   5  sg_p4        9.31031e-01   7.12595e-03   2.05778e-03  -2.05034e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15837 FROM MIGRAD    STATUS=CONVERGED     290 CALLS         291 TOTAL
-                     EDM=9.94244e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   5.2 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03597e+02   3.10422e-01  -2.20880e-04   7.26010e-03
-   2  sg_p1        1.67527e+01   2.74763e-01  -8.54234e-05  -2.36066e-02
-   3  sg_p2        4.50350e+02   1.99263e+01   9.15141e-03   7.10266e-03
-   4  sg_p3        1.38778e+02   3.01976e+01   4.00555e-02  -1.66420e-02
-   5  sg_p4        9.30902e-01   7.07722e-03  -5.07201e-04  -3.19630e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.637e-02 -7.329e-03 -9.169e-02 -1.905e+00 -5.097e-05 
- -7.329e-03  7.551e-02 -1.688e+00  2.407e+00  7.425e-04 
- -9.169e-02 -1.688e+00  4.048e+02 -1.012e+02 -6.013e-02 
- -1.905e+00  2.407e+00 -1.012e+02  1.218e+03 -1.228e-02 
- -5.097e-05  7.425e-04 -6.013e-02 -1.228e-02  5.010e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19304   1.000 -0.086 -0.015 -0.176 -0.023
-        2  0.48229  -0.086  1.000 -0.305  0.251  0.382
-        3  0.47089  -0.015 -0.305  1.000 -0.144 -0.422
-        4  0.36202  -0.176  0.251 -0.144  1.000 -0.050
-        5  0.52945  -0.023  0.382 -0.422 -0.050  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             41 CALLS         332 TOTAL
-                     EDM=6.005e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03597e+02   3.09136e-01   1.34573e-03   1.80817e-01
-   2  sg_p1        1.67527e+01   2.75606e-01   1.84171e-03  -1.52530e-01
-   3  sg_p2        4.50350e+02   2.12182e+01   1.91941e-02  -4.89291e-01
-   4  sg_p3        1.38778e+02   3.03916e+01   7.62661e-02   9.96701e-01
-   5  sg_p4        9.30902e-01   7.12819e-03   2.05809e-03   1.03882e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.557e-02 -6.148e-03 -1.876e-01 -1.605e+00 -4.622e-05 
- -6.148e-03  7.597e-02 -1.916e+00  2.306e+00  7.753e-04 
- -1.876e-01 -1.916e+00  4.602e+02 -1.123e+02 -6.665e-02 
- -1.605e+00  2.306e+00 -1.123e+02  1.240e+03 -9.523e-03 
- -4.622e-05  7.753e-04 -6.665e-02 -9.523e-03  5.082e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17020   1.000 -0.072 -0.028 -0.147 -0.021
-        2  0.48615  -0.072  1.000 -0.324  0.238  0.395
-        3  0.48715  -0.028 -0.324  1.000 -0.149 -0.436
-        4  0.33778  -0.147  0.238 -0.149  1.000 -0.038
-        5  0.53739  -0.021  0.395 -0.436 -0.038  1.000
-500
-503.597 +- 0.309136
-16.7527 +- 0.275606
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16981.8 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.05566e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.79846e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.38683e+02
-   4  sg_p3        3.85734e+01   1.40000e+01  -6.33300e-01  -1.09954e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.06818e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             33 CALLS         261 TOTAL
-                     EDM=0.000884701    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03638e+02   2.96476e-01   1.30613e-03  -5.89524e-02
-   2  sg_p1        1.61908e+01   2.68536e-01   1.81793e-03  -9.06324e-02
-   3  sg_p2        4.64623e+02   1.46357e+01   1.25261e-02   2.17668e-01
-   4  sg_p3        1.18516e+02   2.19593e+01   3.03884e-02   5.10539e-02
-   5  sg_p4        9.27881e-01   7.13588e-03   2.04703e-03   7.03448e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16302.6 FROM MIGRAD    STATUS=CONVERGED     273 CALLS         274 TOTAL
-                     EDM=1.35619e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   3.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03639e+02   2.96022e-01   9.77721e-05  -9.91628e-03
-   2  sg_p1        1.61919e+01   2.69186e-01   9.95735e-05   3.66259e-03
-   3  sg_p2        4.64075e+02   1.47143e+01  -6.09837e-03  -4.10999e-03
-   4  sg_p3        1.17996e+02   2.09578e+01  -8.86611e-03  -1.33437e-02
-   5  sg_p4        9.27974e-01   7.15584e-03   3.61873e-04   3.29176e-06
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.764e-02 -6.654e-03 -2.734e-01 -9.694e-01 -8.441e-05 
- -6.654e-03  7.247e-02 -1.035e+00  1.644e+00  8.204e-04 
- -2.734e-01 -1.035e+00  2.185e+02  1.062e+01 -4.631e-02 
- -9.694e-01  1.644e+00  1.062e+01  4.592e+02  1.234e-02 
- -8.441e-05  8.204e-04 -4.631e-02  1.234e-02  5.122e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17873   1.000 -0.083 -0.062 -0.153 -0.040
-        2  0.50630  -0.083  1.000 -0.260  0.285  0.426
-        3  0.46142  -0.062 -0.260  1.000  0.034 -0.438
-        4  0.32893  -0.153  0.285  0.034  1.000  0.080
-        5  0.54522  -0.040  0.426 -0.438  0.080  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             41 CALLS         315 TOTAL
-                     EDM=4.81522e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03639e+02   2.96371e-01   1.30576e-03   1.82991e-01
-   2  sg_p1        1.61919e+01   2.68611e-01   1.81691e-03  -2.02075e-01
-   3  sg_p2        4.64075e+02   1.45352e+01   1.27410e-02  -3.31572e-01
-   4  sg_p3        1.17996e+02   2.14738e+01   3.10172e-02   5.73772e-01
-   5  sg_p4        9.27974e-01   7.13651e-03   2.04596e-03   1.02738e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.784e-02 -6.886e-03 -2.835e-01 -1.054e+00 -8.375e-05 
- -6.886e-03  7.217e-02 -9.670e-01  1.646e+00  8.068e-04 
- -2.835e-01 -9.670e-01  2.131e+02  2.545e+01 -4.521e-02 
- -1.054e+00  1.646e+00  2.545e+01  4.832e+02  9.584e-03 
- -8.375e-05  8.068e-04 -4.521e-02  9.584e-03  5.094e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18509   1.000 -0.086 -0.066 -0.162 -0.040
-        2  0.50306  -0.086  1.000 -0.247  0.279  0.421
-        3  0.46399  -0.066 -0.247  1.000  0.079 -0.434
-        4  0.34172  -0.162  0.279  0.079  1.000  0.061
-        5  0.54250  -0.040  0.421 -0.434  0.061  1.000
-500
-503.639 +- 0.296371
-16.1919 +- 0.268611
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15760.3 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.68945e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.51251e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.65516e+02
-   4  sg_p3        4.28306e+01   1.40000e+01  -5.59769e-01   7.96964e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.63393e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.00917808    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03544e+02   3.11234e-01   1.32359e-03   3.99151e-02
-   2  sg_p1        1.64644e+01   2.78325e-01   1.82583e-03   8.26169e-02
-   3  sg_p2        4.53596e+02   1.89196e+01   1.66163e-02  -4.74680e-01
-   4  sg_p3        1.30948e+02   2.69531e+01   4.74560e-02  -1.69826e-01
-   5  sg_p4        9.28806e-01   7.28371e-03   2.04213e-03  -7.21183e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15131 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=1.59446e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   8.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03538e+02   3.12525e-01  -4.41178e-05  -1.54585e-02
-   2  sg_p1        1.64635e+01   2.80799e-01   1.36626e-04   1.03835e-02
-   3  sg_p2        4.55327e+02   1.85938e+01  -2.83276e-04   1.31641e-03
-   4  sg_p3        1.33880e+02   3.06660e+01   1.19135e-02  -8.53961e-03
-   5  sg_p4        9.28489e-01   7.24733e-03   2.34109e-05  -1.19312e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.768e-02 -8.237e-03 -1.269e-01 -1.811e+00 -7.804e-05 
- -8.237e-03  7.886e-02 -1.583e+00  2.810e+00  7.851e-04 
- -1.269e-01 -1.583e+00  3.512e+02 -7.894e+01 -5.706e-02 
- -1.811e+00  2.810e+00 -7.894e+01  1.142e+03  2.159e-04 
- -7.804e-05  7.851e-04 -5.706e-02  2.159e-04  5.254e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19100   1.000 -0.094 -0.022 -0.171 -0.034
-        2  0.50054  -0.094  1.000 -0.301  0.296  0.386
-        3  0.45764  -0.022 -0.301  1.000 -0.125 -0.420
-        4  0.36350  -0.171  0.296 -0.125  1.000  0.001
-        5  0.51853  -0.034  0.386 -0.420  0.001  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             39 CALLS         332 TOTAL
-                     EDM=8.18863e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03538e+02   3.11671e-01   1.32357e-03   1.77834e-01
-   2  sg_p1        1.64635e+01   2.78053e-01   1.82591e-03  -1.78022e-01
-   3  sg_p2        4.55327e+02   1.93050e+01   1.69364e-02  -4.30811e-01
-   4  sg_p3        1.33880e+02   2.97612e+01   5.65680e-02   8.78399e-01
-   5  sg_p4        9.28489e-01   7.28924e-03   2.04602e-03   1.02938e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.715e-02 -7.165e-03 -2.210e-01 -1.574e+00 -6.699e-05 
- -7.165e-03  7.733e-02 -1.562e+00  2.322e+00  7.859e-04 
- -2.210e-01 -1.562e+00  3.791e+02 -4.296e+01 -6.069e-02 
- -1.574e+00  2.322e+00 -4.296e+01  1.061e+03 -4.723e-03 
- -6.699e-05  7.859e-04 -6.069e-02 -4.723e-03  5.315e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17762   1.000 -0.083 -0.036 -0.155 -0.029
-        2  0.48429  -0.083  1.000 -0.289  0.256  0.388
-        3  0.45436  -0.036 -0.289  1.000 -0.068 -0.428
-        4  0.32111  -0.155  0.256 -0.068  1.000 -0.020
-        5  0.52435  -0.029  0.388 -0.428 -0.020  1.000
-500
-503.538 +- 0.311671
-16.4635 +- 0.278053
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17965.7 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.19180e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.07558e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66310e+02
-   4  sg_p3        4.20660e+01   1.40000e+01  -5.72713e-01  -5.27926e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.26010e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             31 CALLS         273 TOTAL
-                     EDM=0.0158866    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03553e+02   2.92162e-01   1.32752e-03   1.92047e-01
-   2  sg_p1        1.64746e+01   2.61492e-01   1.83264e-03   9.93853e-02
-   3  sg_p2        4.51603e+02   1.81044e+01   1.70017e-02  -6.77062e-01
-   4  sg_p3        1.32529e+02   2.52771e+01   4.84704e-02  -2.30017e-01
-   5  sg_p4        9.26851e-01   6.88981e-03   2.03844e-03  -1.42588e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17247.2 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=4.77096e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03545e+02   2.93438e-01  -5.87528e-05  -3.40309e-02
-   2  sg_p1        1.64727e+01   2.63670e-01   1.74859e-04   2.14591e-02
-   3  sg_p2        4.53798e+02   1.77853e+01  -4.09286e-04   3.31652e-04
-   4  sg_p3        1.35998e+02   2.90570e+01   1.70332e-02  -1.52432e-02
-   5  sg_p4        9.26443e-01   6.85608e-03   1.63285e-05  -2.74842e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.611e-02 -7.218e-03 -7.462e-02 -1.599e+00 -6.663e-05 
- -7.218e-03  6.953e-02 -1.469e+00  2.461e+00  6.909e-04 
- -7.462e-02 -1.469e+00  3.210e+02 -8.810e+01 -5.081e-02 
- -1.599e+00  2.461e+00 -8.810e+01  1.030e+03 -2.764e-03 
- -6.663e-05  6.909e-04 -5.081e-02 -2.764e-03  4.702e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18896   1.000 -0.093 -0.014 -0.170 -0.033
-        2  0.49890  -0.093  1.000 -0.311  0.291  0.382
-        3  0.46311  -0.014 -0.311  1.000 -0.153 -0.414
-        4  0.37220  -0.170  0.291 -0.153  1.000 -0.013
-        5  0.51605  -0.033  0.382 -0.414 -0.013  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             37 CALLS         332 TOTAL
-                     EDM=2.5481e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03545e+02   2.92634e-01   1.32733e-03   1.78200e-01
-   2  sg_p1        1.64727e+01   2.61019e-01   1.83240e-03  -1.77216e-01
-   3  sg_p2        4.53798e+02   1.84402e+01   1.73428e-02  -4.48601e-01
-   4  sg_p3        1.35998e+02   2.83987e+01   6.04366e-02   9.27242e-01
-   5  sg_p4        9.26443e-01   6.89823e-03   2.04324e-03   1.02149e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.564e-02 -6.233e-03 -1.752e-01 -1.395e+00 -5.632e-05 
- -6.233e-03  6.814e-02 -1.435e+00  2.042e+00  6.927e-04 
- -1.752e-01 -1.435e+00  3.454e+02 -5.423e+01 -5.416e-02 
- -1.395e+00  2.042e+00 -5.423e+01  9.726e+02 -6.753e-03 
- -5.632e-05  6.927e-04 -5.416e-02 -6.753e-03  4.760e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17564   1.000 -0.082 -0.032 -0.153 -0.028
-        2  0.48195  -0.082  1.000 -0.296  0.251  0.385
-        3  0.45633  -0.032 -0.296  1.000 -0.094 -0.422
-        4  0.32602  -0.153  0.251 -0.094  1.000 -0.031
-        5  0.52240  -0.028  0.385 -0.422 -0.031  1.000
-500
-503.545 +- 0.292634
-16.4727 +- 0.261019
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 37 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 57 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 59 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 110 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 503.541 +- 0.301948 (stat) - 0.701904 + 0.678912 (syst); -0.717957/+0.695495 (total)
-   Uncertainty on sg_p1 = 16.4684 +- 0.269373 (stat) - 0.390296 + 0.284252 (syst); -0.412882/+0.314547 (total)
-   Uncertainty on sg_p2 = 454.55 +- 18.8889 (stat) - 4.20037 + 9.52429 (syst); -10.3364/+13.4131 (total)
-   Uncertainty on sg_p3 = 135.056 +- 29.1667 (stat) - 21.0404 + 3.7219 (syst); -25.6003/+15.0508 (total)
-   Uncertainty on sg_p4 = 0.927449 +- 0.00708973 (stat) - 0.00100662 + 0.0034528 (syst); -0.00368502/+0.00494853 (total) 
-   === Baseline plot === </br>
-   norm = 1319.62
-JEC     lnN   1.00347  -
-JER     lnN   1.01686  -
-btag    lnN   1.06496  -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out
deleted file mode 100644
index f955b78..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,26 +0,0 @@
-Running Minos for POI 
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (77849) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-7, JER=-7, PDF=-7, bTag=-7, lumi_13TeV=-7, par_crystal_1_0=-0.473896, par_crystal_1_1=2.43221, par_crystal_1_2=282.885, par_crystal_1_3=64.2419, r=2.90749, sg_p0=554.833, sg_p1=17.5326, sg_p2=526.617, sg_p3=76.5442, sg_p4=0.913471, trigger=-7
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=624, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=454.5, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=369.75, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=539.25, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=327.375, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=412.125, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=496.875, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=581.625, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=306.188, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=348.562, p0=par_crystal_1_0=-0.473896 +/- 0.145028, p1=par_crystal_1_1=2.43221 +/- 0.443192, p2=par_crystal_1_2=282.885 +/- 29.1405, p3=par_crystal_1_3=64.2419 +/- 11.7419
-    ... (remaining 233 messages suppressed)
-
-Real time 0:00:00, CP time 0.110
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 5.93688e-06  -5.93688e-06/+2.90748  (68% CL)
-nll S+B -> -0.000682105  nll B -> -0.000682024
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out
deleted file mode 100644
index 155b446..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.089785:	q_mu = 2.93491	q_A  = 7.87474	CLsb = 0.04334	CLb  = 0.86281	CLs  = 0.05023
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0898
-Expected  2.5%: r < 2.6609
-Expected 16.0%: r < 2.6730
-Expected 50.0%: r < 2.7578
-Expected 84.0%: r < 2.7688
-Expected 97.5%: r < 2.7798
-
-Done in 25.12 min (cpu), 25.12 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt
deleted file mode 100644
index 53fc2c1..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1470.79 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06585    -
-JER       lnN     1.01675   - 
-JEC       lnN     1.0002   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02229693932   -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/pdf.log
deleted file mode 100644
index 259cbcf..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.8549 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.39547e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.33669e+01   1.80554e+00   2.71051e-03   4.30284e-06
-   2  Mean         9.99344e-01   2.90546e-03   5.44875e-06  -4.96208e-03
-   3  Sigma        2.22969e-02   2.61448e-03   6.50610e-05   1.72213e-05
-0.999344037733 +/- 0.0029054638886
-0.0222969393194 +/- 0.00261447795001
-PDF lnN 1.02229693932
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/signal550_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/signal550_sig.log
deleted file mode 100644
index 31e7a79..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_crystal_1_285_624/signal550_sig.log
+++ /dev/null
@@ -1,872 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20474.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   5.07174e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.94014e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.02149e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   3.92576e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -5.54746e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=2.38221e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.31487e+02   5.32162e-01   1.51230e-03   1.42028e-02
-   2  sg_p1        2.98204e+01   4.47933e-01   2.42219e-03   7.73048e-03
-   3  sg_p2        4.57724e+02   1.56211e+01   1.09347e-02  -8.53008e-03
-   4  sg_p3        8.95652e+01   1.08014e+01   3.54792e-02   1.21216e-02
-   5  sg_p4        9.54096e-01   8.70766e-03   2.37118e-03  -9.01545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.832e-01 -4.050e-02  7.504e-01 -1.728e+00 -9.374e-04 
- -4.050e-02  2.007e-01 -3.095e+00  6.692e-01  2.076e-03 
-  7.504e-01 -3.095e+00  2.467e+02 -1.356e+01 -1.062e-01 
- -1.728e+00  6.692e-01 -1.356e+01  1.226e+02  1.630e-02 
- -9.374e-04  2.076e-03 -1.062e-01  1.630e-02  7.587e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.34824   1.000 -0.170  0.090 -0.293 -0.202
-        2  0.53901  -0.170  1.000 -0.440  0.135  0.532
-        3  0.78111   0.090 -0.440  1.000 -0.078 -0.776
-        4  0.32107  -0.293  0.135 -0.078  1.000  0.169
-        5  0.81348  -0.202  0.532 -0.776  0.169  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM HESSE     STATUS=OK             31 CALLS         325 TOTAL
-                     EDM=2.38806e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.31487e+02   5.34249e-01   6.04920e-05  -3.96390e-01
-   2  sg_p1        2.98204e+01   4.49790e-01   9.68875e-05   3.93104e-01
-   3  sg_p2        4.57724e+02   1.57210e+01   4.37390e-04  -4.03212e-01
-   4  sg_p3        8.95652e+01   1.08586e+01   1.41917e-03   8.75892e-01
-   5  sg_p4        9.54096e-01   8.77545e-03   4.74236e-04   1.13895e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.854e-01 -4.220e-02  8.178e-01 -1.810e+00 -9.783e-04 
- -4.220e-02  2.024e-01 -3.172e+00  7.162e-01  2.121e-03 
-  8.178e-01 -3.172e+00  2.499e+02 -1.585e+01 -1.082e-01 
- -1.810e+00  7.162e-01 -1.585e+01  1.240e+02  1.767e-02 
- -9.783e-04  2.121e-03 -1.082e-01  1.767e-02  7.705e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.35795   1.000 -0.176  0.097 -0.304 -0.209
-        2  0.54441  -0.176  1.000 -0.446  0.143  0.537
-        3  0.78430   0.097 -0.446  1.000 -0.090 -0.780
-        4  0.33330  -0.304  0.143 -0.090  1.000  0.181
-        5  0.81668  -0.209  0.537 -0.780  0.181  1.000
-550
-531.487 +- 0.534249
-29.8204 +- 0.44979
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20306.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   3.00053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.48703e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.55356e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   2.98032e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -6.39572e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=4.51479e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.33845e+02   5.50540e-01   1.48402e-03   3.91502e-02
-   2  sg_p1        2.97723e+01   4.71570e-01   2.44878e-03   2.61411e-02
-   3  sg_p2        4.60591e+02   1.38428e+01   8.85082e-03  -6.68765e-03
-   4  sg_p3        8.05212e+01   8.20745e+00   2.03850e-02   9.33536e-03
-   5  sg_p4        9.47592e-01   1.00547e-02   2.37122e-03  -3.27058e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.031e-01 -5.910e-02  9.827e-01 -1.368e+00 -1.430e-03 
- -5.910e-02  2.224e-01 -3.125e+00  3.654e-01  2.724e-03 
-  9.827e-01 -3.125e+00  1.932e+02  9.312e+00 -1.123e-01 
- -1.368e+00  3.654e-01  9.312e+00  6.849e+01  4.927e-03 
- -1.430e-03  2.724e-03 -1.123e-01  4.927e-03  1.012e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.39978   1.000 -0.228  0.128 -0.300 -0.258
-        2  0.58300  -0.228  1.000 -0.477  0.094  0.574
-        3  0.81557   0.128 -0.477  1.000  0.081 -0.803
-        4  0.35284  -0.300  0.094  0.081  1.000  0.059
-        5  0.84274  -0.258  0.574 -0.803  0.059  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM HESSE     STATUS=OK             31 CALLS         324 TOTAL
-                     EDM=4.5264e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.33845e+02   5.51808e-01   2.96804e-04  -3.24384e-01
-   2  sg_p1        2.97723e+01   4.73610e-01   9.79512e-05   3.89948e-01
-   3  sg_p2        4.60591e+02   1.39421e+01   3.54033e-04  -3.70629e-01
-   4  sg_p3        8.05212e+01   8.22375e+00   8.15398e-04   6.03025e-01
-   5  sg_p4        9.47592e-01   1.01305e-02   4.74244e-04   1.10884e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.045e-01 -6.047e-02  1.021e+00 -1.394e+00 -1.460e-03 
- -6.047e-02  2.244e-01 -3.200e+00  3.711e-01  2.779e-03 
-  1.021e+00 -3.200e+00  1.960e+02  9.327e+00 -1.144e-01 
- -1.394e+00  3.711e-01  9.327e+00  6.877e+01  5.012e-03 
- -1.460e-03  2.779e-03 -1.144e-01  5.012e-03  1.027e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.40458   1.000 -0.231  0.132 -0.305 -0.261
-        2  0.58785  -0.231  1.000 -0.483  0.094  0.579
-        3  0.81850   0.132 -0.483  1.000  0.080 -0.806
-        4  0.35705  -0.305  0.094  0.080  1.000  0.060
-        5  0.84530  -0.261  0.579 -0.806  0.060  1.000
-550
-533.845 +- 0.551808
-29.7723 +- 0.47361
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20361.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   7.00402e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   2.42051e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -8.13221e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   4.85542e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -4.37084e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.70671 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             37 CALLS         258 TOTAL
-                     EDM=0.0234896    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29061e+02   5.14520e-01   1.55758e-03   2.24394e-02
-   2  sg_p1        2.98860e+01   4.23991e-01   2.39855e-03  -1.26397e-01
-   3  sg_p2        4.50244e+02   1.76938e+01   1.40698e-02  -3.32037e-01
-   4  sg_p3        9.92707e+01   5.23923e+01   1.16245e-01  -1.87665e-01
-   5  sg_p4        9.58893e-01   7.41282e-03   2.32468e-03  -2.84571e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.50844e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29115e+02   5.27512e-01   1.55654e-03   5.63178e-02
-   2  sg_p1        2.98537e+01   4.31194e-01   2.39683e-03  -4.86594e-03
-   3  sg_p2        4.52810e+02   1.71881e+01   1.26957e-02  -2.51152e-02
-   4  sg_p3        9.42149e+01   1.22791e+01   5.42279e-02  -7.82994e-03
-   5  sg_p4        9.57905e-01   7.92585e-03   2.33854e-03  -5.94545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.783e-01 -2.926e-02  6.244e-01  2.021e+00 -6.669e-04 
- -2.926e-02  1.860e-01 -3.058e+00 -6.317e-01  1.675e-03 
-  6.244e-01 -3.058e+00  2.995e+02  2.884e+01 -1.049e-01 
-  2.021e+00 -6.317e-01  2.884e+01  1.696e+02 -1.694e-02 
- -6.669e-04  1.675e-03 -1.049e-01 -1.694e-02  6.285e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33042   1.000 -0.129  0.068  0.294 -0.159
-        2  0.49650  -0.129  1.000 -0.410 -0.112  0.490
-        3  0.76815   0.068 -0.410  1.000  0.128 -0.765
-        4  0.31895   0.294 -0.112  0.128  1.000 -0.164
-        5  0.79426  -0.159  0.490 -0.765 -0.164  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             31 CALLS         385 TOTAL
-                     EDM=3.65774e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.29115e+02   5.25382e-01   3.11308e-04  -4.71083e-01
-   2  sg_p1        2.98537e+01   4.32758e-01   9.58731e-05   3.95290e-01
-   3  sg_p2        4.52810e+02   1.73342e+01   5.07828e-04  -4.60177e-01
-   4  sg_p3        9.42149e+01   1.23119e+01   2.16911e-03   2.08346e+00
-   5  sg_p4        9.57905e-01   7.98860e-03   4.67708e-04   1.15752e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.761e-01 -3.020e-02  7.182e-01  1.927e+00 -6.928e-04 
- -3.020e-02  1.873e-01 -3.149e+00 -7.080e-01  1.713e-03 
-  7.182e-01 -3.149e+00  3.047e+02  3.675e+01 -1.073e-01 
-  1.927e+00 -7.080e-01  3.675e+01  1.706e+02 -1.945e-02 
- -6.928e-04  1.713e-03 -1.073e-01 -1.945e-02  6.385e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31928   1.000 -0.133  0.078  0.281 -0.165
-        2  0.50194  -0.133  1.000 -0.417 -0.125  0.495
-        3  0.77268   0.078 -0.417  1.000  0.161 -0.769
-        4  0.31887   0.281 -0.125  0.161  1.000 -0.186
-        5  0.79789  -0.165  0.495 -0.769 -0.186  1.000
-550
-529.115 +- 0.525382
-29.8537 +- 0.432758
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19951.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.82283e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.71398e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.74238e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.44109e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77604e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM MIGRAD    STATUS=CONVERGED     211 CALLS         212 TOTAL
-                     EDM=2.97149e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54818e+02   3.19097e-01   8.63536e-04  -3.36904e-01
-   2  sg_p1        1.76653e+01   2.93110e-01   1.48879e-03   2.40235e-04
-   3  sg_p2        5.24916e+02   6.40830e+00   5.54557e-03  -1.03056e-02
-   4  sg_p3        7.57816e+01   6.01449e+00   1.24041e-02  -3.47693e-02
-   5  sg_p4        9.15383e-01   8.76094e-03   2.18461e-03   2.17805e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.018e-01 -7.952e-03  2.184e-01 -3.767e-01 -2.239e-04 
- -7.952e-03  8.592e-02  5.369e-01  4.736e-01  1.353e-03 
-  2.184e-01  5.369e-01  4.114e+01 -3.542e+00  2.620e-02 
- -3.767e-01  4.736e-01 -3.542e+00  3.645e+01  1.672e-02 
- -2.239e-04  1.353e-03  2.620e-02  1.672e-02  7.678e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23180   1.000 -0.085  0.107 -0.196 -0.080
-        2  0.54417  -0.085  1.000  0.286  0.268  0.527
-        3  0.54552   0.107  0.286  1.000 -0.091  0.466
-        4  0.45297  -0.196  0.268 -0.091  1.000  0.316
-        5  0.66946  -0.080  0.527  0.466  0.316  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM HESSE     STATUS=OK             31 CALLS         243 TOTAL
-                     EDM=2.96981e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54818e+02   3.19404e-01   1.72707e-04   2.84322e-01
-   2  sg_p1        1.76653e+01   2.93042e-01   5.95515e-05  -3.61434e-01
-   3  sg_p2        5.24916e+02   6.41299e+00   1.10911e-03   2.82124e+00
-   4  sg_p3        7.57816e+01   6.04287e+00   4.96162e-04   4.80037e-01
-   5  sg_p4        9.15383e-01   8.75334e-03   8.73843e-05   9.80484e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.020e-01 -8.145e-03  2.258e-01 -3.874e-01 -2.275e-04 
- -8.145e-03  8.588e-02  5.267e-01  4.756e-01  1.350e-03 
-  2.258e-01  5.267e-01  4.120e+01 -4.152e+00  2.584e-02 
- -3.874e-01  4.756e-01 -4.152e+00  3.680e+01  1.675e-02 
- -2.275e-04  1.350e-03  2.584e-02  1.675e-02  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23569   1.000 -0.087  0.110 -0.200 -0.081
-        2  0.54387  -0.087  1.000  0.280  0.268  0.526
-        3  0.54648   0.110  0.280  1.000 -0.107  0.460
-        4  0.46089  -0.200  0.268 -0.107  1.000  0.315
-        5  0.66874  -0.081  0.526  0.460  0.315  1.000
-550
-554.818 +- 0.319404
-17.6653 +- 0.293042
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19898.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.95168e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   4.81948e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.76540e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.98194e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.74417e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM MIGRAD    STATUS=CONVERGED     196 CALLS         197 TOTAL
-                     EDM=1.01176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55808e+02   3.25659e-01   8.83901e-04  -1.63522e-01
-   2  sg_p1        1.77469e+01   3.01241e-01   1.51845e-03  -1.82594e-02
-   3  sg_p2        5.26122e+02   6.31840e+00   5.51012e-03  -4.30688e-02
-   4  sg_p3        7.70352e+01   6.10785e+00   1.27318e-02  -4.97405e-03
-   5  sg_p4        9.08807e-01   9.02494e-03   2.18610e-03  -1.94192e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.061e-01 -1.054e-02 -2.294e-01 -4.229e-01 -2.862e-04 
- -1.054e-02  9.076e-02 -4.904e-01  5.133e-01  1.441e-03 
- -2.294e-01 -4.904e-01  3.999e+01  5.524e+00 -2.505e-02 
- -4.229e-01  5.133e-01  5.524e+00  3.761e+01  1.706e-02 
- -2.862e-04  1.441e-03 -2.505e-02  1.706e-02  8.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24854   1.000 -0.107 -0.111 -0.212 -0.097
-        2  0.54949  -0.107  1.000 -0.257  0.278  0.530
-        3  0.54187  -0.111 -0.257  1.000  0.142 -0.439
-        4  0.47566  -0.212  0.278  0.142  1.000  0.308
-        5  0.66453  -0.097  0.530 -0.439  0.308  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM HESSE     STATUS=OK             31 CALLS         228 TOTAL
-                     EDM=1.00847e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.55808e+02   3.25832e-01   1.76780e-04   3.13943e-01
-   2  sg_p1        1.77469e+01   3.02069e-01   6.07379e-05  -3.56157e-01
-   3  sg_p2        5.26122e+02   6.32494e+00   1.10202e-03   6.61694e+00
-   4  sg_p3        7.70352e+01   6.12320e+00   5.09272e-04   5.11714e-01
-   5  sg_p4        9.08807e-01   9.06729e-03   8.74438e-05   9.57256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.062e-01 -1.081e-02 -2.268e-01 -4.286e-01 -2.938e-04 
- -1.081e-02  9.126e-02 -4.992e-01  5.258e-01  1.460e-03 
- -2.268e-01 -4.992e-01  4.007e+01  5.270e+00 -2.536e-02 
- -4.286e-01  5.258e-01  5.270e+00  3.780e+01  1.761e-02 
- -2.938e-04  1.460e-03 -2.536e-02  1.761e-02  8.224e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25053   1.000 -0.110 -0.110 -0.214 -0.099
-        2  0.55296  -0.110  1.000 -0.261  0.283  0.533
-        3  0.54324  -0.110 -0.261  1.000  0.135 -0.442
-        4  0.47947  -0.214  0.283  0.135  1.000  0.316
-        5  0.66843  -0.099  0.533 -0.442  0.316  1.000
-550
-555.808 +- 0.325832
-17.7469 +- 0.302069
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19728.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.67505e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.63661e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.67995e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.03919e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77879e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM MIGRAD    STATUS=CONVERGED     209 CALLS         210 TOTAL
-                     EDM=1.24678e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.53868e+02   3.10680e-01   8.32651e-04  -2.62603e-02
-   2  sg_p1        1.72866e+01   2.81268e-01   1.45728e-03   8.07767e-02
-   3  sg_p2        5.24887e+02   6.75798e+00   5.96660e-03  -3.92394e-02
-   4  sg_p3        7.92365e+01   6.79795e+00   1.48996e-02   6.90285e-03
-   5  sg_p4        9.17534e-01   8.29708e-03   2.15408e-03  -1.06137e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.652e-02 -6.967e-03  2.218e-01 -3.867e-01 -1.900e-04 
- -6.967e-03  7.912e-02  4.748e-01  5.229e-01  1.170e-03 
-  2.218e-01  4.748e-01  4.576e+01 -5.306e+00  2.407e-02 
- -3.867e-01  5.229e-01 -5.306e+00  4.672e+01  1.731e-02 
- -1.900e-04  1.170e-03  2.407e-02  1.731e-02  6.886e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21574   1.000 -0.080  0.106 -0.182 -0.074
-        2  0.52328  -0.080  1.000  0.250  0.272  0.501
-        3  0.51581   0.106  0.250  1.000 -0.115  0.429
-        4  0.44943  -0.182  0.272 -0.115  1.000  0.305
-        5  0.64010  -0.074  0.501  0.429  0.305  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM HESSE     STATUS=OK             31 CALLS         241 TOTAL
-                     EDM=1.27405e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.53868e+02   3.10987e-01   1.66530e-04   2.56169e-01
-   2  sg_p1        1.72866e+01   2.81269e-01   2.91456e-04  -3.86094e-01
-   3  sg_p2        5.24887e+02   6.76745e+00   1.19332e-03   2.82155e+00
-   4  sg_p3        7.92365e+01   6.83832e+00   5.95982e-04   5.68761e-01
-   5  sg_p4        9.17534e-01   8.29250e-03   8.61633e-05   9.88256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.672e-02 -7.180e-03  2.301e-01 -3.999e-01 -1.942e-04 
- -7.180e-03  7.912e-02  4.628e-01  5.278e-01  1.169e-03 
-  2.301e-01  4.628e-01  4.588e+01 -6.142e+00  2.369e-02 
- -3.999e-01  5.278e-01 -6.142e+00  4.728e+01  1.742e-02 
- -1.942e-04  1.169e-03  2.369e-02  1.742e-02  6.879e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22006   1.000 -0.082  0.109 -0.187 -0.075
-        2  0.52328  -0.082  1.000  0.243  0.273  0.501
-        3  0.51782   0.109  0.243  1.000 -0.132  0.422
-        4  0.45946  -0.187  0.273 -0.132  1.000  0.305
-        5  0.63959  -0.075  0.501  0.422  0.305  1.000
-550
-553.868 +- 0.310987
-17.2866 +- 0.281269
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19523.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.78246e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.48227e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.72744e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.53463e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.73440e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=1.1296e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54743e+02   3.23108e-01   8.67838e-04   1.02910e-02
-   2  sg_p1        1.78036e+01   2.93560e-01   1.48809e-03   3.64244e-02
-   3  sg_p2        5.29749e+02   7.02376e+00   6.17425e-03   3.49463e-03
-   4  sg_p3        8.01422e+01   7.11749e+00   1.53333e-02   4.67692e-03
-   5  sg_p4        9.16151e-01   8.68122e-03   2.20244e-03  -2.64886e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.044e-01 -5.800e-03  3.107e-01 -4.077e-01 -1.462e-04 
- -5.800e-03  8.619e-02  4.716e-01  5.708e-01  1.298e-03 
-  3.107e-01  4.716e-01  4.944e+01 -9.571e+00  2.482e-02 
- -4.077e-01  5.708e-01 -9.571e+00  5.129e+01  1.933e-02 
- -1.462e-04  1.298e-03  2.482e-02  1.933e-02  7.539e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21481   1.000 -0.061  0.137 -0.176 -0.052
-        2  0.52839  -0.061  1.000  0.228  0.271  0.509
-        3  0.54059   0.137  0.228  1.000 -0.190  0.407
-        4  0.49556  -0.176  0.271 -0.190  1.000  0.311
-        5  0.64950  -0.052  0.509  0.407  0.311  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM HESSE     STATUS=OK             31 CALLS         252 TOTAL
-                     EDM=1.13732e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54743e+02   3.23491e-01   3.47135e-05   2.82090e-01
-   2  sg_p1        1.78036e+01   2.93564e-01   5.95236e-05  -3.52489e-01
-   3  sg_p2        5.29749e+02   7.04856e+00   2.46970e-04   2.76712e+00
-   4  sg_p3        8.01422e+01   7.18360e+00   6.13332e-04   5.92835e-01
-   5  sg_p4        9.16151e-01   8.67262e-03   4.40487e-04   9.83249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.046e-01 -6.090e-03  3.230e-01 -4.265e-01 -1.522e-04 
- -6.090e-03  8.619e-02  4.539e-01  5.786e-01  1.296e-03 
-  3.230e-01  4.539e-01  4.979e+01 -1.084e+01  2.423e-02 
- -4.265e-01  5.786e-01 -1.084e+01  5.225e+01  1.948e-02 
- -1.522e-04  1.296e-03  2.423e-02  1.948e-02  7.524e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22000   1.000 -0.064  0.142 -0.182 -0.054
-        2  0.52841  -0.064  1.000  0.219  0.273  0.509
-        3  0.54519   0.142  0.219  1.000 -0.213  0.396
-        4  0.50912  -0.182  0.273 -0.213  1.000  0.311
-        5  0.64862  -0.054  0.509  0.396  0.311  1.000
-550
-554.743 +- 0.323491
-17.8036 +- 0.293564
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20158.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.85494e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.04709e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.75210e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.33590e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.81352e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=7.37276e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54870e+02   3.11615e-01   8.46985e-04  -5.92156e-02
-   2  sg_p1        1.73495e+01   2.85260e-01   1.47111e-03   7.67177e-02
-   3  sg_p2        5.24331e+02   6.05754e+00   5.28257e-03   4.53885e-03
-   4  sg_p3        7.34136e+01   5.53118e+00   1.12466e-02  -1.10576e-02
-   5  sg_p4        9.15605e-01   8.65240e-03   2.17248e-03  -7.85532e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.711e-02 -7.947e-03  1.826e-01 -3.420e-01 -2.412e-04 
- -7.947e-03  8.138e-02  5.038e-01  4.162e-01  1.294e-03 
-  1.826e-01  5.038e-01  3.675e+01 -2.414e+00  2.461e-02 
- -3.420e-01  4.162e-01 -2.414e+00  3.078e+01  1.542e-02 
- -2.412e-04  1.294e-03  2.461e-02  1.542e-02  7.489e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23325   1.000 -0.089  0.097 -0.198 -0.089
-        2  0.54079  -0.089  1.000  0.291  0.263  0.524
-        3  0.54052   0.097  0.291  1.000 -0.072  0.469
-        4  0.44504  -0.198  0.263 -0.072  1.000  0.321
-        5  0.66858  -0.089  0.524  0.469  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM HESSE     STATUS=OK             31 CALLS         233 TOTAL
-                     EDM=7.38816e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54870e+02   3.11900e-01   1.69397e-04   2.85889e-01
-   2  sg_p1        1.73495e+01   2.85061e-01   2.94222e-04  -3.81980e-01
-   3  sg_p2        5.24331e+02   6.05810e+00   2.11303e-04   2.82772e+00
-   4  sg_p3        7.34136e+01   5.55334e+00   4.49864e-04   4.21567e-01
-   5  sg_p4        9.15605e-01   8.63836e-03   4.34496e-04   9.81281e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.728e-02 -8.106e-03  1.896e-01 -3.508e-01 -2.439e-04 
- -8.106e-03  8.127e-02  4.931e-01  4.161e-01  1.289e-03 
-  1.896e-01  4.931e-01  3.676e+01 -2.963e+00  2.422e-02 
- -3.508e-01  4.161e-01 -2.963e+00  3.103e+01  1.537e-02 
- -2.439e-04  1.289e-03  2.422e-02  1.537e-02  7.465e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23692   1.000 -0.091  0.100 -0.202 -0.091
-        2  0.53988  -0.091  1.000  0.285  0.262  0.523
-        3  0.54066   0.100  0.285  1.000 -0.088  0.462
-        4  0.45196  -0.202  0.262 -0.088  1.000  0.319
-        5  0.66723  -0.091  0.523  0.462  0.319  1.000
-550
-554.87 +- 0.3119
-17.3495 +- 0.285061
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18671.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.70584e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.36049e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.63312e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.13435e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.66463e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM MIGRAD    STATUS=CONVERGED     203 CALLS         204 TOTAL
-                     EDM=1.02695e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54811e+02   3.29767e-01   8.63223e-04  -1.93001e-01
-   2  sg_p1        1.76648e+01   3.03153e-01   1.48879e-03   3.74125e-02
-   3  sg_p2        5.25130e+02   6.59118e+00   5.51974e-03  -1.87163e-03
-   4  sg_p3        7.53402e+01   6.16780e+00   1.22242e-02  -1.30639e-02
-   5  sg_p4        9.15918e-01   9.07192e-03   2.19004e-03  -5.75224e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.088e-01 -8.558e-03  2.332e-01 -4.008e-01 -2.433e-04 
- -8.558e-03  9.191e-02  5.712e-01  5.058e-01  1.454e-03 
-  2.332e-01  5.712e-01  4.352e+01 -3.716e+00  2.786e-02 
- -4.008e-01  5.058e-01 -3.716e+00  3.834e+01  1.804e-02 
- -2.433e-04  1.454e-03  2.786e-02  1.804e-02  8.233e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23278   1.000 -0.086  0.107 -0.196 -0.081
-        2  0.54570  -0.086  1.000  0.286  0.269  0.529
-        3  0.54594   0.107  0.286  1.000 -0.091  0.465
-        4  0.45689  -0.196  0.269 -0.091  1.000  0.321
-        5  0.67171  -0.081  0.529  0.465  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM HESSE     STATUS=OK             31 CALLS         235 TOTAL
-                     EDM=1.02452e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54811e+02   3.30104e-01   1.72645e-04   2.84116e-01
-   2  sg_p1        1.76648e+01   3.03000e-01   5.95517e-05  -3.61468e-01
-   3  sg_p2        5.25130e+02   6.59509e+00   2.20790e-04   2.81886e+00
-   4  sg_p3        7.53402e+01   6.19835e+00   4.88968e-04   4.69011e-01
-   5  sg_p4        9.15918e-01   9.05834e-03   4.38009e-04   9.82408e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e-01 -8.764e-03  2.421e-01 -4.127e-01 -2.470e-04 
- -8.764e-03  9.182e-02  5.581e-01  5.069e-01  1.449e-03 
-  2.421e-01  5.581e-01  4.357e+01 -4.454e+00  2.739e-02 
- -4.127e-01  5.069e-01 -4.454e+00  3.873e+01  1.802e-02 
- -2.470e-04  1.449e-03  2.739e-02  1.802e-02  8.208e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23689   1.000 -0.088  0.111 -0.201 -0.083
-        2  0.54504  -0.088  1.000  0.279  0.269  0.528
-        3  0.54671   0.111  0.279  1.000 -0.108  0.458
-        4  0.46512  -0.201  0.269 -0.108  1.000  0.320
-        5  0.67048  -0.083  0.528  0.458  0.320  1.000
-550
-554.811 +- 0.330104
-17.6648 +- 0.303
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21296.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.94576e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.08481e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.85706e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.76455e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.89298e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=3.34483e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54825e+02   3.08932e-01   8.64414e-04  -3.40457e-01
-   2  sg_p1        1.76653e+01   2.83564e-01   1.49117e-03  -1.87292e-01
-   3  sg_p2        5.24710e+02   6.23394e+00   5.56281e-03  -3.21417e-03
-   4  sg_p3        7.62214e+01   5.87300e+00   1.25436e-02  -2.96877e-02
-   5  sg_p4        9.14864e-01   8.46661e-03   2.18261e-03   1.16509e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.544e-02 -7.404e-03  2.048e-01 -3.550e-01 -2.065e-04 
- -7.404e-03  8.042e-02  5.052e-01  4.449e-01  1.260e-03 
-  2.048e-01  5.052e-01  3.892e+01 -3.380e+00  2.466e-02 
- -3.550e-01  4.449e-01 -3.380e+00  3.475e+01  1.555e-02 
- -2.065e-04  1.260e-03  2.466e-02  1.555e-02  7.171e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23094   1.000 -0.085  0.106 -0.195 -0.079
-        2  0.54280  -0.085  1.000  0.286  0.266  0.525
-        3  0.54506   0.106  0.286  1.000 -0.092  0.467
-        4  0.44944  -0.195  0.266 -0.092  1.000  0.312
-        5  0.66734  -0.079  0.525  0.467  0.312  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM HESSE     STATUS=OK             31 CALLS         240 TOTAL
-                     EDM=3.3454e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54825e+02   3.09247e-01   1.72883e-04   2.84530e-01
-   2  sg_p1        1.76653e+01   2.83385e-01   2.98233e-04  -3.61435e-01
-   3  sg_p2        5.24710e+02   6.23786e+00   2.22512e-04   2.82352e+00
-   4  sg_p3        7.62214e+01   5.90192e+00   5.01743e-04   4.91089e-01
-   5  sg_p4        9.14864e-01   8.45305e-03   4.36523e-04   9.78619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.564e-02 -7.578e-03  2.127e-01 -3.656e-01 -2.095e-04 
- -7.578e-03  8.032e-02  4.934e-01  4.455e-01  1.255e-03 
-  2.127e-01  4.934e-01  3.897e+01 -4.053e+00  2.424e-02 
- -3.656e-01  4.455e-01 -4.053e+00  3.509e+01  1.551e-02 
- -2.095e-04  1.255e-03  2.424e-02  1.551e-02  7.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23507   1.000 -0.086  0.110 -0.200 -0.080
-        2  0.54198  -0.086  1.000  0.279  0.265  0.524
-        3  0.54588   0.110  0.279  1.000 -0.110  0.459
-        4  0.45781  -0.200  0.265 -0.110  1.000  0.310
-        5  0.66600  -0.080  0.524  0.459  0.310  1.000
-550
-554.825 +- 0.309247
-17.6653 +- 0.283385
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 25 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 34 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 38 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 39 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 40 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 47 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 112 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 114 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 554.818 +- 0.319404 (stat) - 0.949548 + 0.990665 (syst); -0.962884/+1.00345 (total)
-   Uncertainty on sg_p1 = 17.6653 +- 0.293042 (stat) - 0.37879 + 0.13828 (syst); -0.406141/+0.201469 (total)
-   Uncertainty on sg_p2 = 524.916 +- 6.41299 (stat) - 0.585115 + 4.83374 (syst); -3.25944/+5.80057 (total)
-   Uncertainty on sg_p3 = 75.7816 +- 6.04287 (stat) - 2.36797 + 4.36061 (syst); -3.8388/+5.30509 (total)
-   Uncertainty on sg_p4 = 0.915383 +- 0.00875334 (stat) - 0.00657606 + 0.00215055 (syst); -0.00789935/+0.00487649 (total) 
-   === Baseline plot === </br>
-   norm = 1470.79
-JEC     lnN   1.0002  -
-JER     lnN   1.01675  -
-btag    lnN   1.06585  -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out
deleted file mode 100644
index db28c0d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.040
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000237663  -0.000237663/+0.0265815  (68% CL)
-nll S+B -> -0.00667288  nll B -> -0.00663072
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out
deleted file mode 100644
index fe9a9e1..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.054314:	q_mu = 3.86074	q_A  = 3.84452	CLsb = 0.02471	CLb  = 0.49835	CLs  = 0.04959
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0543
-Expected  2.5%: r < 0.0288
-Expected 16.0%: r < 0.0387
-Expected 50.0%: r < 0.0542
-Expected 84.0%: r < 0.0780
-Expected 97.5%: r < 0.1075
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt
deleted file mode 100644
index bfb9aa5..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1470.79 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06585    -
-JER       lnN     1.01675   - 
-JEC       lnN     1.0002   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02229693932   -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/pdf.log
deleted file mode 100644
index 259cbcf..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.8549 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.39547e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.33669e+01   1.80554e+00   2.71051e-03   4.30284e-06
-   2  Mean         9.99344e-01   2.90546e-03   5.44875e-06  -4.96208e-03
-   3  Sigma        2.22969e-02   2.61448e-03   6.50610e-05   1.72213e-05
-0.999344037733 +/- 0.0029054638886
-0.0222969393194 +/- 0.00261447795001
-PDF lnN 1.02229693932
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/signal550_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/signal550_sig.log
deleted file mode 100644
index 31e7a79..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_550_novo_285_624/signal550_sig.log
+++ /dev/null
@@ -1,872 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20474.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   5.07174e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.94014e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.02149e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   3.92576e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -5.54746e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=2.38221e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.31487e+02   5.32162e-01   1.51230e-03   1.42028e-02
-   2  sg_p1        2.98204e+01   4.47933e-01   2.42219e-03   7.73048e-03
-   3  sg_p2        4.57724e+02   1.56211e+01   1.09347e-02  -8.53008e-03
-   4  sg_p3        8.95652e+01   1.08014e+01   3.54792e-02   1.21216e-02
-   5  sg_p4        9.54096e-01   8.70766e-03   2.37118e-03  -9.01545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.832e-01 -4.050e-02  7.504e-01 -1.728e+00 -9.374e-04 
- -4.050e-02  2.007e-01 -3.095e+00  6.692e-01  2.076e-03 
-  7.504e-01 -3.095e+00  2.467e+02 -1.356e+01 -1.062e-01 
- -1.728e+00  6.692e-01 -1.356e+01  1.226e+02  1.630e-02 
- -9.374e-04  2.076e-03 -1.062e-01  1.630e-02  7.587e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.34824   1.000 -0.170  0.090 -0.293 -0.202
-        2  0.53901  -0.170  1.000 -0.440  0.135  0.532
-        3  0.78111   0.090 -0.440  1.000 -0.078 -0.776
-        4  0.32107  -0.293  0.135 -0.078  1.000  0.169
-        5  0.81348  -0.202  0.532 -0.776  0.169  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM HESSE     STATUS=OK             31 CALLS         325 TOTAL
-                     EDM=2.38806e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.31487e+02   5.34249e-01   6.04920e-05  -3.96390e-01
-   2  sg_p1        2.98204e+01   4.49790e-01   9.68875e-05   3.93104e-01
-   3  sg_p2        4.57724e+02   1.57210e+01   4.37390e-04  -4.03212e-01
-   4  sg_p3        8.95652e+01   1.08586e+01   1.41917e-03   8.75892e-01
-   5  sg_p4        9.54096e-01   8.77545e-03   4.74236e-04   1.13895e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.854e-01 -4.220e-02  8.178e-01 -1.810e+00 -9.783e-04 
- -4.220e-02  2.024e-01 -3.172e+00  7.162e-01  2.121e-03 
-  8.178e-01 -3.172e+00  2.499e+02 -1.585e+01 -1.082e-01 
- -1.810e+00  7.162e-01 -1.585e+01  1.240e+02  1.767e-02 
- -9.783e-04  2.121e-03 -1.082e-01  1.767e-02  7.705e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.35795   1.000 -0.176  0.097 -0.304 -0.209
-        2  0.54441  -0.176  1.000 -0.446  0.143  0.537
-        3  0.78430   0.097 -0.446  1.000 -0.090 -0.780
-        4  0.33330  -0.304  0.143 -0.090  1.000  0.181
-        5  0.81668  -0.209  0.537 -0.780  0.181  1.000
-550
-531.487 +- 0.534249
-29.8204 +- 0.44979
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20306.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   3.00053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.48703e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.55356e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   2.98032e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -6.39572e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=4.51479e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.33845e+02   5.50540e-01   1.48402e-03   3.91502e-02
-   2  sg_p1        2.97723e+01   4.71570e-01   2.44878e-03   2.61411e-02
-   3  sg_p2        4.60591e+02   1.38428e+01   8.85082e-03  -6.68765e-03
-   4  sg_p3        8.05212e+01   8.20745e+00   2.03850e-02   9.33536e-03
-   5  sg_p4        9.47592e-01   1.00547e-02   2.37122e-03  -3.27058e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.031e-01 -5.910e-02  9.827e-01 -1.368e+00 -1.430e-03 
- -5.910e-02  2.224e-01 -3.125e+00  3.654e-01  2.724e-03 
-  9.827e-01 -3.125e+00  1.932e+02  9.312e+00 -1.123e-01 
- -1.368e+00  3.654e-01  9.312e+00  6.849e+01  4.927e-03 
- -1.430e-03  2.724e-03 -1.123e-01  4.927e-03  1.012e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.39978   1.000 -0.228  0.128 -0.300 -0.258
-        2  0.58300  -0.228  1.000 -0.477  0.094  0.574
-        3  0.81557   0.128 -0.477  1.000  0.081 -0.803
-        4  0.35284  -0.300  0.094  0.081  1.000  0.059
-        5  0.84274  -0.258  0.574 -0.803  0.059  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM HESSE     STATUS=OK             31 CALLS         324 TOTAL
-                     EDM=4.5264e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.33845e+02   5.51808e-01   2.96804e-04  -3.24384e-01
-   2  sg_p1        2.97723e+01   4.73610e-01   9.79512e-05   3.89948e-01
-   3  sg_p2        4.60591e+02   1.39421e+01   3.54033e-04  -3.70629e-01
-   4  sg_p3        8.05212e+01   8.22375e+00   8.15398e-04   6.03025e-01
-   5  sg_p4        9.47592e-01   1.01305e-02   4.74244e-04   1.10884e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.045e-01 -6.047e-02  1.021e+00 -1.394e+00 -1.460e-03 
- -6.047e-02  2.244e-01 -3.200e+00  3.711e-01  2.779e-03 
-  1.021e+00 -3.200e+00  1.960e+02  9.327e+00 -1.144e-01 
- -1.394e+00  3.711e-01  9.327e+00  6.877e+01  5.012e-03 
- -1.460e-03  2.779e-03 -1.144e-01  5.012e-03  1.027e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.40458   1.000 -0.231  0.132 -0.305 -0.261
-        2  0.58785  -0.231  1.000 -0.483  0.094  0.579
-        3  0.81850   0.132 -0.483  1.000  0.080 -0.806
-        4  0.35705  -0.305  0.094  0.080  1.000  0.060
-        5  0.84530  -0.261  0.579 -0.806  0.060  1.000
-550
-533.845 +- 0.551808
-29.7723 +- 0.47361
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20361.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   7.00402e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   2.42051e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -8.13221e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   4.85542e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -4.37084e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.70671 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             37 CALLS         258 TOTAL
-                     EDM=0.0234896    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29061e+02   5.14520e-01   1.55758e-03   2.24394e-02
-   2  sg_p1        2.98860e+01   4.23991e-01   2.39855e-03  -1.26397e-01
-   3  sg_p2        4.50244e+02   1.76938e+01   1.40698e-02  -3.32037e-01
-   4  sg_p3        9.92707e+01   5.23923e+01   1.16245e-01  -1.87665e-01
-   5  sg_p4        9.58893e-01   7.41282e-03   2.32468e-03  -2.84571e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.50844e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29115e+02   5.27512e-01   1.55654e-03   5.63178e-02
-   2  sg_p1        2.98537e+01   4.31194e-01   2.39683e-03  -4.86594e-03
-   3  sg_p2        4.52810e+02   1.71881e+01   1.26957e-02  -2.51152e-02
-   4  sg_p3        9.42149e+01   1.22791e+01   5.42279e-02  -7.82994e-03
-   5  sg_p4        9.57905e-01   7.92585e-03   2.33854e-03  -5.94545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.783e-01 -2.926e-02  6.244e-01  2.021e+00 -6.669e-04 
- -2.926e-02  1.860e-01 -3.058e+00 -6.317e-01  1.675e-03 
-  6.244e-01 -3.058e+00  2.995e+02  2.884e+01 -1.049e-01 
-  2.021e+00 -6.317e-01  2.884e+01  1.696e+02 -1.694e-02 
- -6.669e-04  1.675e-03 -1.049e-01 -1.694e-02  6.285e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33042   1.000 -0.129  0.068  0.294 -0.159
-        2  0.49650  -0.129  1.000 -0.410 -0.112  0.490
-        3  0.76815   0.068 -0.410  1.000  0.128 -0.765
-        4  0.31895   0.294 -0.112  0.128  1.000 -0.164
-        5  0.79426  -0.159  0.490 -0.765 -0.164  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             31 CALLS         385 TOTAL
-                     EDM=3.65774e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.29115e+02   5.25382e-01   3.11308e-04  -4.71083e-01
-   2  sg_p1        2.98537e+01   4.32758e-01   9.58731e-05   3.95290e-01
-   3  sg_p2        4.52810e+02   1.73342e+01   5.07828e-04  -4.60177e-01
-   4  sg_p3        9.42149e+01   1.23119e+01   2.16911e-03   2.08346e+00
-   5  sg_p4        9.57905e-01   7.98860e-03   4.67708e-04   1.15752e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.761e-01 -3.020e-02  7.182e-01  1.927e+00 -6.928e-04 
- -3.020e-02  1.873e-01 -3.149e+00 -7.080e-01  1.713e-03 
-  7.182e-01 -3.149e+00  3.047e+02  3.675e+01 -1.073e-01 
-  1.927e+00 -7.080e-01  3.675e+01  1.706e+02 -1.945e-02 
- -6.928e-04  1.713e-03 -1.073e-01 -1.945e-02  6.385e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31928   1.000 -0.133  0.078  0.281 -0.165
-        2  0.50194  -0.133  1.000 -0.417 -0.125  0.495
-        3  0.77268   0.078 -0.417  1.000  0.161 -0.769
-        4  0.31887   0.281 -0.125  0.161  1.000 -0.186
-        5  0.79789  -0.165  0.495 -0.769 -0.186  1.000
-550
-529.115 +- 0.525382
-29.8537 +- 0.432758
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19951.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.82283e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.71398e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.74238e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.44109e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77604e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM MIGRAD    STATUS=CONVERGED     211 CALLS         212 TOTAL
-                     EDM=2.97149e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54818e+02   3.19097e-01   8.63536e-04  -3.36904e-01
-   2  sg_p1        1.76653e+01   2.93110e-01   1.48879e-03   2.40235e-04
-   3  sg_p2        5.24916e+02   6.40830e+00   5.54557e-03  -1.03056e-02
-   4  sg_p3        7.57816e+01   6.01449e+00   1.24041e-02  -3.47693e-02
-   5  sg_p4        9.15383e-01   8.76094e-03   2.18461e-03   2.17805e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.018e-01 -7.952e-03  2.184e-01 -3.767e-01 -2.239e-04 
- -7.952e-03  8.592e-02  5.369e-01  4.736e-01  1.353e-03 
-  2.184e-01  5.369e-01  4.114e+01 -3.542e+00  2.620e-02 
- -3.767e-01  4.736e-01 -3.542e+00  3.645e+01  1.672e-02 
- -2.239e-04  1.353e-03  2.620e-02  1.672e-02  7.678e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23180   1.000 -0.085  0.107 -0.196 -0.080
-        2  0.54417  -0.085  1.000  0.286  0.268  0.527
-        3  0.54552   0.107  0.286  1.000 -0.091  0.466
-        4  0.45297  -0.196  0.268 -0.091  1.000  0.316
-        5  0.66946  -0.080  0.527  0.466  0.316  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM HESSE     STATUS=OK             31 CALLS         243 TOTAL
-                     EDM=2.96981e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54818e+02   3.19404e-01   1.72707e-04   2.84322e-01
-   2  sg_p1        1.76653e+01   2.93042e-01   5.95515e-05  -3.61434e-01
-   3  sg_p2        5.24916e+02   6.41299e+00   1.10911e-03   2.82124e+00
-   4  sg_p3        7.57816e+01   6.04287e+00   4.96162e-04   4.80037e-01
-   5  sg_p4        9.15383e-01   8.75334e-03   8.73843e-05   9.80484e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.020e-01 -8.145e-03  2.258e-01 -3.874e-01 -2.275e-04 
- -8.145e-03  8.588e-02  5.267e-01  4.756e-01  1.350e-03 
-  2.258e-01  5.267e-01  4.120e+01 -4.152e+00  2.584e-02 
- -3.874e-01  4.756e-01 -4.152e+00  3.680e+01  1.675e-02 
- -2.275e-04  1.350e-03  2.584e-02  1.675e-02  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23569   1.000 -0.087  0.110 -0.200 -0.081
-        2  0.54387  -0.087  1.000  0.280  0.268  0.526
-        3  0.54648   0.110  0.280  1.000 -0.107  0.460
-        4  0.46089  -0.200  0.268 -0.107  1.000  0.315
-        5  0.66874  -0.081  0.526  0.460  0.315  1.000
-550
-554.818 +- 0.319404
-17.6653 +- 0.293042
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19898.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.95168e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   4.81948e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.76540e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.98194e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.74417e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM MIGRAD    STATUS=CONVERGED     196 CALLS         197 TOTAL
-                     EDM=1.01176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55808e+02   3.25659e-01   8.83901e-04  -1.63522e-01
-   2  sg_p1        1.77469e+01   3.01241e-01   1.51845e-03  -1.82594e-02
-   3  sg_p2        5.26122e+02   6.31840e+00   5.51012e-03  -4.30688e-02
-   4  sg_p3        7.70352e+01   6.10785e+00   1.27318e-02  -4.97405e-03
-   5  sg_p4        9.08807e-01   9.02494e-03   2.18610e-03  -1.94192e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.061e-01 -1.054e-02 -2.294e-01 -4.229e-01 -2.862e-04 
- -1.054e-02  9.076e-02 -4.904e-01  5.133e-01  1.441e-03 
- -2.294e-01 -4.904e-01  3.999e+01  5.524e+00 -2.505e-02 
- -4.229e-01  5.133e-01  5.524e+00  3.761e+01  1.706e-02 
- -2.862e-04  1.441e-03 -2.505e-02  1.706e-02  8.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24854   1.000 -0.107 -0.111 -0.212 -0.097
-        2  0.54949  -0.107  1.000 -0.257  0.278  0.530
-        3  0.54187  -0.111 -0.257  1.000  0.142 -0.439
-        4  0.47566  -0.212  0.278  0.142  1.000  0.308
-        5  0.66453  -0.097  0.530 -0.439  0.308  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM HESSE     STATUS=OK             31 CALLS         228 TOTAL
-                     EDM=1.00847e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.55808e+02   3.25832e-01   1.76780e-04   3.13943e-01
-   2  sg_p1        1.77469e+01   3.02069e-01   6.07379e-05  -3.56157e-01
-   3  sg_p2        5.26122e+02   6.32494e+00   1.10202e-03   6.61694e+00
-   4  sg_p3        7.70352e+01   6.12320e+00   5.09272e-04   5.11714e-01
-   5  sg_p4        9.08807e-01   9.06729e-03   8.74438e-05   9.57256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.062e-01 -1.081e-02 -2.268e-01 -4.286e-01 -2.938e-04 
- -1.081e-02  9.126e-02 -4.992e-01  5.258e-01  1.460e-03 
- -2.268e-01 -4.992e-01  4.007e+01  5.270e+00 -2.536e-02 
- -4.286e-01  5.258e-01  5.270e+00  3.780e+01  1.761e-02 
- -2.938e-04  1.460e-03 -2.536e-02  1.761e-02  8.224e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25053   1.000 -0.110 -0.110 -0.214 -0.099
-        2  0.55296  -0.110  1.000 -0.261  0.283  0.533
-        3  0.54324  -0.110 -0.261  1.000  0.135 -0.442
-        4  0.47947  -0.214  0.283  0.135  1.000  0.316
-        5  0.66843  -0.099  0.533 -0.442  0.316  1.000
-550
-555.808 +- 0.325832
-17.7469 +- 0.302069
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19728.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.67505e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.63661e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.67995e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.03919e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77879e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM MIGRAD    STATUS=CONVERGED     209 CALLS         210 TOTAL
-                     EDM=1.24678e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.53868e+02   3.10680e-01   8.32651e-04  -2.62603e-02
-   2  sg_p1        1.72866e+01   2.81268e-01   1.45728e-03   8.07767e-02
-   3  sg_p2        5.24887e+02   6.75798e+00   5.96660e-03  -3.92394e-02
-   4  sg_p3        7.92365e+01   6.79795e+00   1.48996e-02   6.90285e-03
-   5  sg_p4        9.17534e-01   8.29708e-03   2.15408e-03  -1.06137e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.652e-02 -6.967e-03  2.218e-01 -3.867e-01 -1.900e-04 
- -6.967e-03  7.912e-02  4.748e-01  5.229e-01  1.170e-03 
-  2.218e-01  4.748e-01  4.576e+01 -5.306e+00  2.407e-02 
- -3.867e-01  5.229e-01 -5.306e+00  4.672e+01  1.731e-02 
- -1.900e-04  1.170e-03  2.407e-02  1.731e-02  6.886e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21574   1.000 -0.080  0.106 -0.182 -0.074
-        2  0.52328  -0.080  1.000  0.250  0.272  0.501
-        3  0.51581   0.106  0.250  1.000 -0.115  0.429
-        4  0.44943  -0.182  0.272 -0.115  1.000  0.305
-        5  0.64010  -0.074  0.501  0.429  0.305  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM HESSE     STATUS=OK             31 CALLS         241 TOTAL
-                     EDM=1.27405e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.53868e+02   3.10987e-01   1.66530e-04   2.56169e-01
-   2  sg_p1        1.72866e+01   2.81269e-01   2.91456e-04  -3.86094e-01
-   3  sg_p2        5.24887e+02   6.76745e+00   1.19332e-03   2.82155e+00
-   4  sg_p3        7.92365e+01   6.83832e+00   5.95982e-04   5.68761e-01
-   5  sg_p4        9.17534e-01   8.29250e-03   8.61633e-05   9.88256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.672e-02 -7.180e-03  2.301e-01 -3.999e-01 -1.942e-04 
- -7.180e-03  7.912e-02  4.628e-01  5.278e-01  1.169e-03 
-  2.301e-01  4.628e-01  4.588e+01 -6.142e+00  2.369e-02 
- -3.999e-01  5.278e-01 -6.142e+00  4.728e+01  1.742e-02 
- -1.942e-04  1.169e-03  2.369e-02  1.742e-02  6.879e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22006   1.000 -0.082  0.109 -0.187 -0.075
-        2  0.52328  -0.082  1.000  0.243  0.273  0.501
-        3  0.51782   0.109  0.243  1.000 -0.132  0.422
-        4  0.45946  -0.187  0.273 -0.132  1.000  0.305
-        5  0.63959  -0.075  0.501  0.422  0.305  1.000
-550
-553.868 +- 0.310987
-17.2866 +- 0.281269
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19523.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.78246e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.48227e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.72744e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.53463e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.73440e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=1.1296e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54743e+02   3.23108e-01   8.67838e-04   1.02910e-02
-   2  sg_p1        1.78036e+01   2.93560e-01   1.48809e-03   3.64244e-02
-   3  sg_p2        5.29749e+02   7.02376e+00   6.17425e-03   3.49463e-03
-   4  sg_p3        8.01422e+01   7.11749e+00   1.53333e-02   4.67692e-03
-   5  sg_p4        9.16151e-01   8.68122e-03   2.20244e-03  -2.64886e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.044e-01 -5.800e-03  3.107e-01 -4.077e-01 -1.462e-04 
- -5.800e-03  8.619e-02  4.716e-01  5.708e-01  1.298e-03 
-  3.107e-01  4.716e-01  4.944e+01 -9.571e+00  2.482e-02 
- -4.077e-01  5.708e-01 -9.571e+00  5.129e+01  1.933e-02 
- -1.462e-04  1.298e-03  2.482e-02  1.933e-02  7.539e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21481   1.000 -0.061  0.137 -0.176 -0.052
-        2  0.52839  -0.061  1.000  0.228  0.271  0.509
-        3  0.54059   0.137  0.228  1.000 -0.190  0.407
-        4  0.49556  -0.176  0.271 -0.190  1.000  0.311
-        5  0.64950  -0.052  0.509  0.407  0.311  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM HESSE     STATUS=OK             31 CALLS         252 TOTAL
-                     EDM=1.13732e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54743e+02   3.23491e-01   3.47135e-05   2.82090e-01
-   2  sg_p1        1.78036e+01   2.93564e-01   5.95236e-05  -3.52489e-01
-   3  sg_p2        5.29749e+02   7.04856e+00   2.46970e-04   2.76712e+00
-   4  sg_p3        8.01422e+01   7.18360e+00   6.13332e-04   5.92835e-01
-   5  sg_p4        9.16151e-01   8.67262e-03   4.40487e-04   9.83249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.046e-01 -6.090e-03  3.230e-01 -4.265e-01 -1.522e-04 
- -6.090e-03  8.619e-02  4.539e-01  5.786e-01  1.296e-03 
-  3.230e-01  4.539e-01  4.979e+01 -1.084e+01  2.423e-02 
- -4.265e-01  5.786e-01 -1.084e+01  5.225e+01  1.948e-02 
- -1.522e-04  1.296e-03  2.423e-02  1.948e-02  7.524e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22000   1.000 -0.064  0.142 -0.182 -0.054
-        2  0.52841  -0.064  1.000  0.219  0.273  0.509
-        3  0.54519   0.142  0.219  1.000 -0.213  0.396
-        4  0.50912  -0.182  0.273 -0.213  1.000  0.311
-        5  0.64862  -0.054  0.509  0.396  0.311  1.000
-550
-554.743 +- 0.323491
-17.8036 +- 0.293564
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20158.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.85494e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.04709e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.75210e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.33590e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.81352e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=7.37276e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54870e+02   3.11615e-01   8.46985e-04  -5.92156e-02
-   2  sg_p1        1.73495e+01   2.85260e-01   1.47111e-03   7.67177e-02
-   3  sg_p2        5.24331e+02   6.05754e+00   5.28257e-03   4.53885e-03
-   4  sg_p3        7.34136e+01   5.53118e+00   1.12466e-02  -1.10576e-02
-   5  sg_p4        9.15605e-01   8.65240e-03   2.17248e-03  -7.85532e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.711e-02 -7.947e-03  1.826e-01 -3.420e-01 -2.412e-04 
- -7.947e-03  8.138e-02  5.038e-01  4.162e-01  1.294e-03 
-  1.826e-01  5.038e-01  3.675e+01 -2.414e+00  2.461e-02 
- -3.420e-01  4.162e-01 -2.414e+00  3.078e+01  1.542e-02 
- -2.412e-04  1.294e-03  2.461e-02  1.542e-02  7.489e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23325   1.000 -0.089  0.097 -0.198 -0.089
-        2  0.54079  -0.089  1.000  0.291  0.263  0.524
-        3  0.54052   0.097  0.291  1.000 -0.072  0.469
-        4  0.44504  -0.198  0.263 -0.072  1.000  0.321
-        5  0.66858  -0.089  0.524  0.469  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM HESSE     STATUS=OK             31 CALLS         233 TOTAL
-                     EDM=7.38816e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54870e+02   3.11900e-01   1.69397e-04   2.85889e-01
-   2  sg_p1        1.73495e+01   2.85061e-01   2.94222e-04  -3.81980e-01
-   3  sg_p2        5.24331e+02   6.05810e+00   2.11303e-04   2.82772e+00
-   4  sg_p3        7.34136e+01   5.55334e+00   4.49864e-04   4.21567e-01
-   5  sg_p4        9.15605e-01   8.63836e-03   4.34496e-04   9.81281e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.728e-02 -8.106e-03  1.896e-01 -3.508e-01 -2.439e-04 
- -8.106e-03  8.127e-02  4.931e-01  4.161e-01  1.289e-03 
-  1.896e-01  4.931e-01  3.676e+01 -2.963e+00  2.422e-02 
- -3.508e-01  4.161e-01 -2.963e+00  3.103e+01  1.537e-02 
- -2.439e-04  1.289e-03  2.422e-02  1.537e-02  7.465e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23692   1.000 -0.091  0.100 -0.202 -0.091
-        2  0.53988  -0.091  1.000  0.285  0.262  0.523
-        3  0.54066   0.100  0.285  1.000 -0.088  0.462
-        4  0.45196  -0.202  0.262 -0.088  1.000  0.319
-        5  0.66723  -0.091  0.523  0.462  0.319  1.000
-550
-554.87 +- 0.3119
-17.3495 +- 0.285061
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18671.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.70584e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.36049e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.63312e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.13435e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.66463e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM MIGRAD    STATUS=CONVERGED     203 CALLS         204 TOTAL
-                     EDM=1.02695e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54811e+02   3.29767e-01   8.63223e-04  -1.93001e-01
-   2  sg_p1        1.76648e+01   3.03153e-01   1.48879e-03   3.74125e-02
-   3  sg_p2        5.25130e+02   6.59118e+00   5.51974e-03  -1.87163e-03
-   4  sg_p3        7.53402e+01   6.16780e+00   1.22242e-02  -1.30639e-02
-   5  sg_p4        9.15918e-01   9.07192e-03   2.19004e-03  -5.75224e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.088e-01 -8.558e-03  2.332e-01 -4.008e-01 -2.433e-04 
- -8.558e-03  9.191e-02  5.712e-01  5.058e-01  1.454e-03 
-  2.332e-01  5.712e-01  4.352e+01 -3.716e+00  2.786e-02 
- -4.008e-01  5.058e-01 -3.716e+00  3.834e+01  1.804e-02 
- -2.433e-04  1.454e-03  2.786e-02  1.804e-02  8.233e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23278   1.000 -0.086  0.107 -0.196 -0.081
-        2  0.54570  -0.086  1.000  0.286  0.269  0.529
-        3  0.54594   0.107  0.286  1.000 -0.091  0.465
-        4  0.45689  -0.196  0.269 -0.091  1.000  0.321
-        5  0.67171  -0.081  0.529  0.465  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM HESSE     STATUS=OK             31 CALLS         235 TOTAL
-                     EDM=1.02452e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54811e+02   3.30104e-01   1.72645e-04   2.84116e-01
-   2  sg_p1        1.76648e+01   3.03000e-01   5.95517e-05  -3.61468e-01
-   3  sg_p2        5.25130e+02   6.59509e+00   2.20790e-04   2.81886e+00
-   4  sg_p3        7.53402e+01   6.19835e+00   4.88968e-04   4.69011e-01
-   5  sg_p4        9.15918e-01   9.05834e-03   4.38009e-04   9.82408e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e-01 -8.764e-03  2.421e-01 -4.127e-01 -2.470e-04 
- -8.764e-03  9.182e-02  5.581e-01  5.069e-01  1.449e-03 
-  2.421e-01  5.581e-01  4.357e+01 -4.454e+00  2.739e-02 
- -4.127e-01  5.069e-01 -4.454e+00  3.873e+01  1.802e-02 
- -2.470e-04  1.449e-03  2.739e-02  1.802e-02  8.208e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23689   1.000 -0.088  0.111 -0.201 -0.083
-        2  0.54504  -0.088  1.000  0.279  0.269  0.528
-        3  0.54671   0.111  0.279  1.000 -0.108  0.458
-        4  0.46512  -0.201  0.269 -0.108  1.000  0.320
-        5  0.67048  -0.083  0.528  0.458  0.320  1.000
-550
-554.811 +- 0.330104
-17.6648 +- 0.303
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21296.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.94576e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.08481e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.85706e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.76455e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.89298e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=3.34483e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54825e+02   3.08932e-01   8.64414e-04  -3.40457e-01
-   2  sg_p1        1.76653e+01   2.83564e-01   1.49117e-03  -1.87292e-01
-   3  sg_p2        5.24710e+02   6.23394e+00   5.56281e-03  -3.21417e-03
-   4  sg_p3        7.62214e+01   5.87300e+00   1.25436e-02  -2.96877e-02
-   5  sg_p4        9.14864e-01   8.46661e-03   2.18261e-03   1.16509e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.544e-02 -7.404e-03  2.048e-01 -3.550e-01 -2.065e-04 
- -7.404e-03  8.042e-02  5.052e-01  4.449e-01  1.260e-03 
-  2.048e-01  5.052e-01  3.892e+01 -3.380e+00  2.466e-02 
- -3.550e-01  4.449e-01 -3.380e+00  3.475e+01  1.555e-02 
- -2.065e-04  1.260e-03  2.466e-02  1.555e-02  7.171e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23094   1.000 -0.085  0.106 -0.195 -0.079
-        2  0.54280  -0.085  1.000  0.286  0.266  0.525
-        3  0.54506   0.106  0.286  1.000 -0.092  0.467
-        4  0.44944  -0.195  0.266 -0.092  1.000  0.312
-        5  0.66734  -0.079  0.525  0.467  0.312  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM HESSE     STATUS=OK             31 CALLS         240 TOTAL
-                     EDM=3.3454e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54825e+02   3.09247e-01   1.72883e-04   2.84530e-01
-   2  sg_p1        1.76653e+01   2.83385e-01   2.98233e-04  -3.61435e-01
-   3  sg_p2        5.24710e+02   6.23786e+00   2.22512e-04   2.82352e+00
-   4  sg_p3        7.62214e+01   5.90192e+00   5.01743e-04   4.91089e-01
-   5  sg_p4        9.14864e-01   8.45305e-03   4.36523e-04   9.78619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.564e-02 -7.578e-03  2.127e-01 -3.656e-01 -2.095e-04 
- -7.578e-03  8.032e-02  4.934e-01  4.455e-01  1.255e-03 
-  2.127e-01  4.934e-01  3.897e+01 -4.053e+00  2.424e-02 
- -3.656e-01  4.455e-01 -4.053e+00  3.509e+01  1.551e-02 
- -2.095e-04  1.255e-03  2.424e-02  1.551e-02  7.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23507   1.000 -0.086  0.110 -0.200 -0.080
-        2  0.54198  -0.086  1.000  0.279  0.265  0.524
-        3  0.54588   0.110  0.279  1.000 -0.110  0.459
-        4  0.45781  -0.200  0.265 -0.110  1.000  0.310
-        5  0.66600  -0.080  0.524  0.459  0.310  1.000
-550
-554.825 +- 0.309247
-17.6653 +- 0.283385
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 25 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 34 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 38 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 39 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 40 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 47 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 112 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 114 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 554.818 +- 0.319404 (stat) - 0.949548 + 0.990665 (syst); -0.962884/+1.00345 (total)
-   Uncertainty on sg_p1 = 17.6653 +- 0.293042 (stat) - 0.37879 + 0.13828 (syst); -0.406141/+0.201469 (total)
-   Uncertainty on sg_p2 = 524.916 +- 6.41299 (stat) - 0.585115 + 4.83374 (syst); -3.25944/+5.80057 (total)
-   Uncertainty on sg_p3 = 75.7816 +- 6.04287 (stat) - 2.36797 + 4.36061 (syst); -3.8388/+5.30509 (total)
-   Uncertainty on sg_p4 = 0.915383 +- 0.00875334 (stat) - 0.00657606 + 0.00215055 (syst); -0.00789935/+0.00487649 (total) 
-   === Baseline plot === </br>
-   norm = 1470.79
-JEC     lnN   1.0002  -
-JER     lnN   1.01675  -
-btag    lnN   1.06585  -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out
deleted file mode 100644
index 1883a39..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,169 +0,0 @@
-Running Minos for POI 
-WARNING: underflow to 0 in pdf_binHbbHbb_obsOnly for bin 0, weight 564.619
-FASTEXIT from pdf_binHbbHbb_obsOnly
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (2307.78) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-6.60894e-05, JER=0.00392808, PDF=-0.000118577, bTag=0.00283745, lumi_13TeV=0.00342508, par_crystal_1_0=-0.179728, par_crystal_1_1=4.16141, par_crystal_1_2=293.498, par_crystal_1_3=-15.2069, r=0, sg_p0=606.507, sg_p1=17.484, sg_p2=599.889, sg_p3=35.1182, sg_p4=0.768187, trigger=-0.00113887
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=295.594, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=290.297, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=287.648, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=292.945, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.324, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.973, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=291.621, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=294.27, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285.662, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.986, p0=par_crystal_1_0=-0.179728 +/- 0.155843, p1=par_crystal_1_1=4.16141 +/- 0.389756, p2=par_crystal_1_2=293.498 +/- 29.1911, p3=par_crystal_1_3=-15.2069 +/- 12.6424
-    ... (remaining 8679 messages suppressed)
-RooAbsReal::HbbHbb[ params=(JEC,JER,PDF,bTag,lumi_13TeV,n_exp_binHbbHbb_proc_background,par_crystal_1_0,par_crystal_1_1,par_crystal_1_2,par_crystal_1_3,r,signal_p0,signal_p1,signal_p2,signal_p3,signal_p4,trigger) ]
-     Number of events is negative or error @ params=(JEC = -6.60894e-05 +/- 0.994392,JER = 0.00392808 +/- 0.994478,PDF = -0.000118577 +/- 0.994328,bTag = 0.00283745 +/- 0.99437,lumi_13TeV = 0.00342508 +/- 0.994403,n_exp_binHbbHbb_proc_background = 17637.2,par_crystal_1_0 = -0.179728 +/- 0.155843,par_crystal_1_1 = 4.16141 +/- 0.389756,par_crystal_1_2 = 293.498 +/- 29.1911,par_crystal_1_3 = -15.2069 +/- 12.6424,r = 0 +/- 0.316989,signal_p0 = 606.507,signal_p1 = 17.4848,signal_p2 = 599.858,signal_p3 = 35.1205,signal_p4 = 0.769875,trigger = -0.00113887 +/- 0.994486)
-
-WARNING: underflow to 0 in pdf_binHbbHbb_obsOnly for bin 0, weight 564.619
-FASTEXIT from pdf_binHbbHbb_obsOnly
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (2307.78) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=-0.000148996, JER=0.0047967, PDF=-0.000182131, bTag=0.00342033, lumi_13TeV=0.00415307, par_crystal_1_0=-0.247124, par_crystal_1_1=4.07173, par_crystal_1_2=294.773, par_crystal_1_3=-20.9156, r=0, sg_p0=606.508, sg_p1=17.4839, sg_p2=599.894, sg_p3=35.1179, sg_p4=0.7679, trigger=-0.00144615
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=295.594, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=290.297, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=287.648, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=292.945, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=298.242, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.324, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.973, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=291.621, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=294.27, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=296.918, p0=par_crystal_1_0=-0.247124 +/- 0.155843, p1=par_crystal_1_1=4.07173 +/- 0.389756, p2=par_crystal_1_2=294.773 +/- 29.1911, p3=par_crystal_1_3=-20.9156 +/- 12.6424
-    ... (remaining 23104 messages suppressed)
-RooAbsReal::HbbHbb[ params=(JEC,JER,PDF,bTag,lumi_13TeV,n_exp_binHbbHbb_proc_background,par_crystal_1_0,par_crystal_1_1,par_crystal_1_2,par_crystal_1_3,r,signal_p0,signal_p1,signal_p2,signal_p3,signal_p4,trigger) ]
-     Number of events is negative or error @ params=(JEC = -0.000148996 +/- 0.994392,JER = 0.0047967 +/- 0.994478,PDF = -0.000182131 +/- 0.994328,bTag = 0.00342033 +/- 0.99437,lumi_13TeV = 0.00415307 +/- 0.994403,n_exp_binHbbHbb_proc_background = 17637.2,par_crystal_1_0 = -0.247124 +/- 0.155843,par_crystal_1_1 = 4.07173 +/- 0.389756,par_crystal_1_2 = 294.773 +/- 29.1911,par_crystal_1_3 = -20.9156 +/- 12.6424,r = 0 +/- 0.316989,signal_p0 = 606.507,signal_p1 = 17.4848,signal_p2 = 599.858,signal_p3 = 35.1205,signal_p4 = 0.769875,trigger = -0.00144615 +/- 0.994486)
-
-[#0] WARNING:Integration -- RooIntegrator1D::integral: integral of shapeBkg_background_HbbHbb over range (285,624) did not converge after 20 steps
-   [1] h = 1 , s = 0
-   [2] h = 0.25 , s = 9.63839e-149
-   [3] h = 0.0625 , s = 2.1919e-33
-   [4] h = 0.015625 , s = 2.37294e-06
-   [5] h = 0.00390625 , s = 1.31416
-   [6] h = 0.000976562 , s = 9.24939
-   [7] h = 0.000244141 , s = 6.36739
-   [8] h = 6.10352e-05 , s = 7.72376
-   [9] h = 1.52588e-05 , s = 7.06211
-   [10] h = 3.8147e-06 , s = 7.39304
-   [11] h = 9.53674e-07 , s = 7.22808
-   [12] h = 2.38419e-07 , s = 7.31063
-   [13] h = 5.96046e-08 , s = 7.35192
-   [14] h = 1.49012e-08 , s = 7.33128
-   [15] h = 3.72529e-09 , s = 7.32096
-   [16] h = 9.31323e-10 , s = 7.3158
-   [17] h = 2.32831e-10 , s = 7.31838
-   [18] h = 5.82077e-11 , s = 7.31709
-   [19] h = 1.45519e-11 , s = 7.31773
-   [20] h = 3.63798e-12 , s = 7.31741
-WARNING: underflow to 0 in pdf_binHbbHbb_obsOnly for bin 0, weight 564.619
-FASTEXIT from pdf_binHbbHbb_obsOnly
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (2307.78) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=5.82708e-05, JER=0.00262516, PDF=-2.32461e-05, bTag=0.00196314, lumi_13TeV=0.0023331, par_crystal_1_0=-0.0719653, par_crystal_1_1=4.29695, par_crystal_1_2=291.583, par_crystal_1_3=-6.19362, r=0, sg_p0=606.507, sg_p1=17.4841, sg_p2=599.881, sg_p3=35.1185, sg_p4=0.768616, trigger=-0.000677957
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=290.297, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=287.648, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.324, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.973, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=291.621, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285.662, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.986, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.311, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=289.635, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=290.959, p0=par_crystal_1_0=-0.0719653 +/- 0.155843, p1=par_crystal_1_1=4.29695 +/- 0.389756, p2=par_crystal_1_2=291.583 +/- 29.1911, p3=par_crystal_1_3=-6.19362 +/- 12.6424
-    ... (remaining 10862 messages suppressed)
-RooAbsReal::HbbHbb[ params=(JEC,JER,PDF,bTag,lumi_13TeV,n_exp_binHbbHbb_proc_background,par_crystal_1_0,par_crystal_1_1,par_crystal_1_2,par_crystal_1_3,r,signal_p0,signal_p1,signal_p2,signal_p3,signal_p4,trigger) ]
-     Number of events is negative or error @ params=(JEC = 5.82708e-05 +/- 0.994392,JER = 0.00262516 +/- 0.994478,PDF = -2.32461e-05 +/- 0.994328,bTag = 0.00196314 +/- 0.99437,lumi_13TeV = 0.0023331 +/- 0.994403,n_exp_binHbbHbb_proc_background = 17637.2,par_crystal_1_0 = -0.0719653 +/- 0.155843,par_crystal_1_1 = 4.29695 +/- 0.389756,par_crystal_1_2 = 291.583 +/- 29.1911,par_crystal_1_3 = -6.19362 +/- 12.6424,r = 0 +/- 0.316989,signal_p0 = 606.507,signal_p1 = 17.4848,signal_p2 = 599.858,signal_p3 = 35.1205,signal_p4 = 0.769875,trigger = -0.000677957 +/- 0.994486)
-
-WARNING: underflow to 0 in pdf_binHbbHbb_obsOnly for bin 0, weight 564.619
-FASTEXIT from pdf_binHbbHbb_obsOnly
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (2307.78) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=5.54091e-05, JER=-0.000546472, PDF=4.92776e-05, bTag=-0.000361685, lumi_13TeV=-0.000456571, par_crystal_1_0=-0.513975, par_crystal_1_1=4.83908, par_crystal_1_2=222.122, par_crystal_1_3=43.6803, r=0, sg_p0=606.505, sg_p1=17.488, sg_p2=599.795, sg_p3=35.1307, sg_p4=0.772589, trigger=0.000199595
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=624, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=454.5, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=369.75, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=539.25, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=327.375, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=412.125, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=496.875, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=581.625, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=306.188, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=348.562, p0=par_crystal_1_0=-0.513975 +/- 0.155843, p1=par_crystal_1_1=4.83908 +/- 0.389756, p2=par_crystal_1_2=222.122 +/- 29.1911, p3=par_crystal_1_3=43.6803 +/- 12.6424
-    ... (remaining 233 messages suppressed)
-RooAbsReal::HbbHbb[ params=(JEC,JER,PDF,bTag,lumi_13TeV,n_exp_binHbbHbb_proc_background,par_crystal_1_0,par_crystal_1_1,par_crystal_1_2,par_crystal_1_3,r,signal_p0,signal_p1,signal_p2,signal_p3,signal_p4,trigger) ]
-     Number of events is negative or error @ params=(JEC = 5.54091e-05 +/- 0.994392,JER = -0.000546472 +/- 0.994478,PDF = 4.92776e-05 +/- 0.994328,bTag = -0.000361685 +/- 0.99437,lumi_13TeV = -0.000456571 +/- 0.994403,n_exp_binHbbHbb_proc_background = 17637.2,par_crystal_1_0 = -0.513975 +/- 0.155843,par_crystal_1_1 = 4.83908 +/- 0.389756,par_crystal_1_2 = 222.122 +/- 29.1911,par_crystal_1_3 = 43.6803 +/- 12.6424,r = 0 +/- 0.316989,signal_p0 = 606.507,signal_p1 = 17.4848,signal_p2 = 599.858,signal_p3 = 35.1205,signal_p4 = 0.769875,trigger = 0.000199595 +/- 0.994486)
-
-WARNING: underflow to 0 in pdf_binHbbHbb_obsOnly for bin 21, weight 271.856
-FASTEXIT from pdf_binHbbHbb_obsOnly
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (522769) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=0.000245643, JER=0.000658232, PDF=0.000120478, bTag=0.000643022, lumi_13TeV=0.000684459, par_crystal_1_0=0.195436, par_crystal_1_1=4.50291, par_crystal_1_2=297.429, par_crystal_1_3=-1.35096, r=0, sg_p0=606.507, sg_p1=17.4843, sg_p2=599.87, sg_p3=35.1191, sg_p4=0.769268, trigger=1.75634e-05
-RooAbsReal::HbbHbb[ params=(JEC,JER,PDF,bTag,lumi_13TeV,n_exp_binHbbHbb_proc_background,par_crystal_1_0,par_crystal_1_1,par_crystal_1_2,par_crystal_1_3,r,signal_p0,signal_p1,signal_p2,signal_p3,signal_p4,trigger) ]
-     Number of events is negative or error @ params=(JEC = 0.000245643 +/- 0.994392,JER = 0.000658232 +/- 0.994478,PDF = 0.000120478 +/- 0.994328,bTag = 0.000643022 +/- 0.99437,lumi_13TeV = 0.000684459 +/- 0.994403,n_exp_binHbbHbb_proc_background = 17637.2,par_crystal_1_0 = 0.195436 +/- 0.155843,par_crystal_1_1 = 4.50291 +/- 0.389756,par_crystal_1_2 = 297.429 +/- 29.1911,par_crystal_1_3 = -1.35096 +/- 12.6424,r = 0 +/- 0.316989,signal_p0 = 606.507,signal_p1 = 17.4848,signal_p2 = 599.858,signal_p3 = 35.1205,signal_p4 = 0.769875,trigger = 1.75634e-05 +/- 0.994486)
-
-WARNING: underflow to 0 in pdf_binHbbHbb_obsOnly for bin 0, weight 564.619
-FASTEXIT from pdf_binHbbHbb_obsOnly
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (522769) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=0.000247979, JER=0.000262431, PDF=0.000112543, bTag=0.000290773, lumi_13TeV=0.000316188, par_crystal_1_0=-0.512527, par_crystal_1_1=3.72506, par_crystal_1_2=211.005, par_crystal_1_3=13.9289, r=0, sg_p0=606.507, sg_p1=17.4854, sg_p2=599.849, sg_p3=35.1224, sg_p4=0.770188, trigger=5.10159e-05
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=624, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=454.5, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=369.75, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=539.25, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=327.375, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=412.125, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=496.875, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=581.625, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=306.188, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=348.562, p0=par_crystal_1_0=-0.512527 +/- 0.155843, p1=par_crystal_1_1=3.72506 +/- 0.389756, p2=par_crystal_1_2=211.005 +/- 29.1911, p3=par_crystal_1_3=13.9289 +/- 12.6424
-    ... (remaining 233 messages suppressed)
-RooAbsReal::HbbHbb[ params=(JEC,JER,PDF,bTag,lumi_13TeV,n_exp_binHbbHbb_proc_background,par_crystal_1_0,par_crystal_1_1,par_crystal_1_2,par_crystal_1_3,r,signal_p0,signal_p1,signal_p2,signal_p3,signal_p4,trigger) ]
-     Number of events is negative or error @ params=(JEC = 0.000247979 +/- 0.994392,JER = 0.000262431 +/- 0.994478,PDF = 0.000112543 +/- 0.994328,bTag = 0.000290773 +/- 0.99437,lumi_13TeV = 0.000316188 +/- 0.994403,n_exp_binHbbHbb_proc_background = 17637.2,par_crystal_1_0 = -0.512527 +/- 0.155843,par_crystal_1_1 = 3.72506 +/- 0.389756,par_crystal_1_2 = 211.005 +/- 29.1911,par_crystal_1_3 = 13.9289 +/- 12.6424,r = 0 +/- 0.316989,signal_p0 = 606.507,signal_p1 = 17.4848,signal_p2 = 599.858,signal_p3 = 35.1205,signal_p4 = 0.769875,trigger = 5.10159e-05 +/- 0.994486)
-
-WARNING: underflow to 0 in pdf_binHbbHbb_obsOnly for bin 0, weight 564.619
-FASTEXIT from pdf_binHbbHbb_obsOnly
-[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
-Returning maximum FCN so far (522769) to force MIGRAD to back out of this region. Error log follows
-Parameter values: JEC=0.000256256, JER=0.000582706, PDF=0.000124766, bTag=0.000584047, lumi_13TeV=0.000619129, par_crystal_1_0=-0.0816667, par_crystal_1_1=4.37111, par_crystal_1_2=291.257, par_crystal_1_3=-6.86038, r=0, sg_p0=606.507, sg_p1=17.4845, sg_p2=599.867, sg_p3=35.1195, sg_p4=0.769398, trigger=3.41522e-05
-RevCrystalBall::shapeBkg_background_HbbHbb[ x=x p0=par_crystal_1_0 p1=par_crystal_1_1 p2=par_crystal_1_2 p3=par_crystal_1_3 ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.5, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=290.297, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=287.648, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.324, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.973, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=291.621, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=285.662, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=286.986, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=288.311, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=289.635, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ x=x=290.959, p0=par_crystal_1_0=-0.0816667 +/- 0.155843, p1=par_crystal_1_1=4.37111 +/- 0.389756, p2=par_crystal_1_2=291.257 +/- 29.1911, p3=par_crystal_1_3=-6.86038 +/- 12.6424
-    ... (remaining 10536 messages suppressed)
-RooAbsReal::HbbHbb[ params=(JEC,JER,PDF,bTag,lumi_13TeV,n_exp_binHbbHbb_proc_background,par_crystal_1_0,par_crystal_1_1,par_crystal_1_2,par_crystal_1_3,r,signal_p0,signal_p1,signal_p2,signal_p3,signal_p4,trigger) ]
-     Number of events is negative or error @ params=(JEC = 0.000256256 +/- 0.994392,JER = 0.000582706 +/- 0.994478,PDF = 0.000124766 +/- 0.994328,bTag = 0.000584047 +/- 0.99437,lumi_13TeV = 0.000619129 +/- 0.994403,n_exp_binHbbHbb_proc_background = 17637.2,par_crystal_1_0 = -0.0816667 +/- 0.155843,par_crystal_1_1 = 4.37111 +/- 0.389756,par_crystal_1_2 = 291.257 +/- 29.1911,par_crystal_1_3 = -6.86038 +/- 12.6424,r = 0 +/- 0.316989,signal_p0 = 606.507,signal_p1 = 17.4848,signal_p2 = 599.858,signal_p3 = 35.1205,signal_p4 = 0.769875,trigger = 3.41522e-05 +/- 0.994486)
-
-Real time 0:00:01, CP time 1.780
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000195845  -0.000195845/+0.0285582  (68% CL)
-nll S+B -> -0.000778077  nll B -> -0.000682028
-Done in 0.04 min (cpu), 0.04 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out
deleted file mode 100644
index 32f08fb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.016699:	q_mu = 0.00000	q_A  = 0.00000	CLsb = 0.50000	CLb  = 0.50000	CLs  = 1.00000
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0167
-Expected  2.5%: r < 0.0187
-Expected 16.0%: r < 0.0248
-Expected 50.0%: r < 0.0356
-Expected 84.0%: r < 0.0507
-Expected 97.5%: r < 0.0701
-
-Done in 5.30 min (cpu), 5.30 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt
deleted file mode 100644
index 3c90258..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1712.99 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06714    -
-JER       lnN     1.01626   - 
-JEC       lnN     1.00275   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0229477477   -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/pdf.log
deleted file mode 100644
index 1900262..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.9498 FROM MIGRAD    STATUS=CONVERGED      71 CALLS          72 TOTAL
-                     EDM=6.95637e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.30566e+01   1.77733e+00   2.65488e-03   2.23742e-05
-   2  Mean         1.00046e+00   3.03346e-03   5.72003e-06   3.78371e-01
-   3  Sigma        2.29477e-02   2.84199e-03   6.88862e-05   6.32201e-03
-1.00046088083 +/- 0.0030334648545
-0.0229477477015 +/- 0.00284199080585
-PDF lnN 1.0229477477
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/signal600_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/signal600_sig.log
deleted file mode 100644
index 3215894..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_crystal_1_285_624/signal600_sig.log
+++ /dev/null
@@ -1,843 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24280 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.58677e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.18368e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.42384e+03
-   4  sg_p3        4.21820e+01   1.20000e+01  -4.82092e-01  -6.03718e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   7.69925e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM MIGRAD    STATUS=CONVERGED     442 CALLS         443 TOTAL
-                     EDM=3.37608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.88137e+02   2.17401e+00   1.57187e-03   5.45097e-02
-   2  sg_p1        2.90958e+01   6.86009e-01   3.13675e-03   7.79119e-02
-   3  sg_p2        5.59880e+02   5.00457e+00   1.98829e-03  -7.62283e-02
-   4  sg_p3        3.62716e+01   3.18321e+00   2.14823e-03   9.85100e-02
-   5  sg_p4        7.00002e-01   2.12576e-01   1.12952e-01   2.90847e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.731e+00 -1.030e+00 -9.979e+00 -6.388e+00 -2.483e-04 
- -1.030e+00  4.709e-01  2.213e+00  1.252e+00  1.258e-04 
- -9.979e+00  2.213e+00  2.508e+01  1.471e+01 -7.877e-04 
- -6.388e+00  1.252e+00  1.471e+01  1.015e+01  1.142e-06 
- -2.483e-04  1.258e-04 -7.877e-04  1.142e-06  1.239e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95782   1.000 -0.690 -0.916 -0.922 -0.103
-        2  0.73673  -0.690  1.000  0.644  0.573  0.165
-        3  0.96060  -0.916  0.644  1.000  0.922 -0.141
-        4  0.94775  -0.922  0.573  0.922  1.000  0.000
-        5  0.62405  -0.103  0.165 -0.141  0.000  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM HESSE     STATUS=OK             35 CALLS         478 TOTAL
-                     EDM=0.000121989    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.88137e+02   3.29842e+00   3.14373e-04  -3.84102e-01
-   2  sg_p1        2.90958e+01   1.12225e+00   1.25470e-04   3.45999e-01
-   3  sg_p2        5.59880e+02   4.99521e+00   3.97658e-04  -2.02989e-01
-   4  sg_p3        3.62716e+01   3.76792e+00   8.59293e-05  -5.96971e-01
-   5  sg_p4        7.00002e-01   2.43034e-01   4.60846e-01  -1.56553e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e+01 -3.238e+00 -9.781e+00 -1.140e+01 -3.564e-03 
- -3.238e+00  1.262e+00  2.139e+00  3.042e+00  1.285e-03 
- -9.781e+00  2.139e+00  2.499e+01  1.455e+01 -2.935e-04 
- -1.140e+01  3.042e+00  1.455e+01  1.422e+01  2.841e-03 
- -3.564e-03  1.285e-03 -2.935e-04  2.841e-03  2.063e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.98192   1.000 -0.873 -0.593 -0.915 -0.752
-        2  0.91068  -0.873  1.000  0.381  0.718  0.797
-        3  0.96045  -0.593  0.381  1.000  0.772 -0.041
-        4  0.96302  -0.915  0.718  0.772  1.000  0.524
-        5  0.96908  -0.752  0.797 -0.041  0.524  1.000
-600
-588.137 +- 3.29842
-29.0958 +- 1.12225
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23767.1 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.17349e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.02365e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.16298e+03
-   4  sg_p3        4.39845e+01   1.20000e+01  -4.48474e-01   4.93391e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   6.61691e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=4.72305e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92012e+02   1.51134e+00   1.46358e-03   1.14647e-01
-   2  sg_p1        2.81327e+01   6.59039e-01   2.96171e-03  -1.30179e-01
-   3  sg_p2        5.58427e+02   3.47970e+00   1.93226e-03   6.71315e-02
-   4  sg_p3        3.58696e+01   2.45943e+00   2.12007e-03   3.27001e-02
-   5  sg_p4        7.00002e-01   6.59449e-02   8.47138e-02   5.69759e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.285e+00 -7.049e-01 -4.524e+00 -3.253e+00 -8.515e-05 
- -7.049e-01  4.346e-01  1.539e+00  9.868e-01  4.573e-05 
- -4.524e+00  1.539e+00  1.212e+01  7.552e+00 -3.909e-04 
- -3.253e+00  9.868e-01  7.552e+00  6.054e+00 -5.215e-05 
- -8.515e-05  4.573e-05 -3.909e-04 -5.215e-05  5.765e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91672   1.000 -0.707 -0.860 -0.875 -0.074
-        2  0.73205  -0.707  1.000  0.671  0.608  0.091
-        3  0.92123  -0.860  0.671  1.000  0.882 -0.148
-        4  0.91302  -0.875  0.608  0.882  1.000 -0.028
-        5  0.44297  -0.074  0.091 -0.148 -0.028  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM HESSE     STATUS=OK             37 CALLS         367 TOTAL
-                     EDM=3.83352e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92012e+02   1.96656e+00   2.92716e-04  -2.92785e-01
-   2  sg_p1        2.81327e+01   8.71252e-01   5.92343e-04   2.84598e-01
-   3  sg_p2        5.58427e+02   3.77659e+00   3.86452e-04  -2.22807e-01
-   4  sg_p3        3.58696e+01   2.54070e+00   8.48026e-05  -6.05095e-01
-   5  sg_p4        7.00002e-01   1.87580e-01   5.00000e-01  -1.56561e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.870e+00 -1.423e+00 -2.748e+00 -4.031e+00 -1.028e-03 
- -1.423e+00  7.598e-01  7.297e-01  1.337e+00  4.676e-04 
- -2.748e+00  7.297e-01  1.428e+01  6.747e+00 -1.238e-03 
- -4.031e+00  1.337e+00  6.747e+00  6.461e+00  4.747e-04 
- -1.028e-03  4.676e-04 -1.238e-03  4.747e-04  6.718e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95171   1.000 -0.830 -0.370 -0.806 -0.637
-        2  0.85706  -0.830  1.000  0.222  0.604  0.654
-        3  0.93356  -0.370  0.222  1.000  0.703 -0.400
-        4  0.91874  -0.806  0.604  0.703  1.000  0.228
-        5  0.94267  -0.637  0.654 -0.400  0.228  1.000
-600
-592.012 +- 1.96656
-28.1327 +- 0.871252
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24394 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.94278e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.29909e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.67228e+03
-   4  sg_p3        4.09440e+01   1.20000e+01  -5.05526e-01  -7.57306e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   8.58548e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM MIGRAD    STATUS=CONVERGED     638 CALLS         639 TOTAL
-                     EDM=8.42969e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.78603e+02   5.64911e-01   1.40473e-03   3.72907e-01
-   2  sg_p1        3.20881e+01   4.06669e-01   2.67756e-03   1.44036e-01
-   3  sg_p2        5.00002e+02   1.10618e+02   1.52750e-01  -2.88106e-03
-   4  sg_p3        6.94039e+01   2.89324e+01   3.44374e-02  -1.04731e-02
-   5  sg_p4        9.76772e-01   7.03168e-03   5.92623e-03  -8.42769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.191e-01 -1.408e-02  3.587e-02 -7.029e+00  1.364e-04 
- -1.408e-02  1.654e-01 -3.289e-02 -2.769e+00  1.295e-03 
-  3.587e-02 -3.289e-02  6.513e-01 -1.947e+00 -1.609e-03 
- -7.029e+00 -2.769e+00 -1.947e+00  9.115e+02 -1.280e-01 
-  1.364e-04  1.295e-03 -1.609e-03 -1.280e-01  4.957e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49930   1.000 -0.061  0.079 -0.412  0.034
-        2  0.46165  -0.061  1.000 -0.100 -0.225  0.452
-        3  0.43169   0.079 -0.100  1.000 -0.080 -0.283
-        4  0.75355  -0.412 -0.225 -0.080  1.000 -0.602
-        5  0.76469   0.034  0.452 -0.283 -0.602  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM HESSE     STATUS=OK             35 CALLS         674 TOTAL
-                     EDM=8.36581e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.78603e+02   5.65787e-01   2.80946e-04  -6.26852e-01
-   2  sg_p1        3.20881e+01   4.25746e-01   5.35511e-04   5.47427e-01
-   3  sg_p2        5.00002e+02   9.83339e+01   5.00000e-01  -1.57791e+00
-   4  sg_p3        6.94039e+01   2.99669e+01   6.88747e-03  -9.93577e-03
-   5  sg_p4        9.76772e-01   9.53722e-03   1.18525e-03   1.00684e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.201e-01 -1.400e-02  1.487e-02 -7.254e+00  1.740e-04 
- -1.400e-02  1.813e-01 -8.069e-02 -3.550e+00  2.110e-03 
-  1.487e-02 -8.069e-02  3.935e-01  2.133e+00 -4.095e-03 
- -7.254e+00 -3.550e+00  2.133e+00  9.846e+02 -1.706e-01 
-  1.740e-04  2.110e-03 -4.095e-03 -1.706e-01  9.139e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50162   1.000 -0.058  0.042 -0.409  0.032
-        2  0.53111  -0.058  1.000 -0.302 -0.266  0.518
-        3  0.77391   0.042 -0.302  1.000  0.108 -0.683
-        4  0.77455  -0.409 -0.266  0.108  1.000 -0.569
-        5  0.88021   0.032  0.518 -0.683 -0.569  1.000
-600
-578.603 +- 0.565787
-32.0881 +- 0.425746
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21188 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10915e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.89680e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.48216e+02
-   4  sg_p3        5.20622e+01   1.20000e+01  -3.03606e-01   1.51172e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.90966e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM MIGRAD    STATUS=CONVERGED     266 CALLS         267 TOTAL
-                     EDM=3.97173e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06507e+02   4.54842e-01   7.93051e-04   2.28694e-01
-   2  sg_p1        1.74848e+01   6.42892e-01   1.87527e-03  -5.26219e-03
-   3  sg_p2        5.99858e+02   1.64781e+00   1.84882e-03   3.91300e-02
-   4  sg_p3        3.51205e+01   2.40944e+00   1.97487e-03  -2.11296e-02
-   5  sg_p4        7.69875e-01   4.95303e-02   1.12811e-02   5.41517e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.069e-01 -1.274e-01 -9.667e-02 -5.293e-01 -1.089e-02 
- -1.274e-01  4.136e-01 -4.310e-01  1.196e+00  2.909e-02 
- -9.667e-02 -4.310e-01  2.716e+00 -1.523e+00 -3.888e-02 
- -5.293e-01  1.196e+00 -1.523e+00  5.810e+00  1.117e-01 
- -1.089e-02  2.909e-02 -3.888e-02  1.117e-01  2.589e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62100   1.000 -0.435 -0.129 -0.483 -0.470
-        2  0.89410  -0.435  1.000 -0.407  0.772  0.889
-        3  0.60904  -0.129 -0.407  1.000 -0.383 -0.464
-        4  0.91664  -0.483  0.772 -0.383  1.000  0.910
-        5  0.95959  -0.470  0.889 -0.464  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM HESSE     STATUS=OK             31 CALLS         298 TOTAL
-                     EDM=3.94319e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06507e+02   4.49294e-01   1.58610e-04   3.34861e-02
-   2  sg_p1        1.74848e+01   6.23965e-01   7.50107e-05  -3.73160e-01
-   3  sg_p2        5.99858e+02   1.64758e+00   3.69764e-04   3.37830e-01
-   4  sg_p3        3.51205e+01   2.33871e+00   7.89949e-05  -6.20356e-01
-   5  sg_p4        7.69875e-01   4.80150e-02   4.51245e-04  -5.63520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.019e-01 -1.162e-01 -1.057e-01 -4.868e-01 -9.943e-03 
- -1.162e-01  3.895e-01 -4.147e-01  1.106e+00  2.709e-02 
- -1.057e-01 -4.147e-01  2.715e+00 -1.465e+00 -3.762e-02 
- -4.868e-01  1.106e+00 -1.465e+00  5.474e+00  1.042e-01 
- -9.943e-03  2.709e-02 -3.762e-02  1.042e-01  2.425e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60859   1.000 -0.414 -0.143 -0.463 -0.449
-        2  0.88716  -0.414  1.000 -0.403  0.757  0.881
-        3  0.60890  -0.143 -0.403  1.000 -0.380 -0.464
-        4  0.91127  -0.463  0.757 -0.380  1.000  0.905
-        5  0.95679  -0.449  0.881 -0.464  0.905  1.000
-600
-606.507 +- 0.449294
-17.4848 +- 0.623965
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20985 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -6.03053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.30191e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.66899e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.40682e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01  -1.90294e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM MIGRAD    STATUS=CONVERGED     278 CALLS         279 TOTAL
-                     EDM=1.57711e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07915e+02   5.09392e-01   8.36892e-04  -1.25909e-01
-   2  sg_p1        1.72285e+01   7.70692e-01   2.00532e-03  -9.85888e-02
-   3  sg_p2        6.00885e+02   1.55983e+00   1.61488e-03   1.97987e-02
-   4  sg_p3        3.39190e+01   2.23203e+00   1.72499e-03  -5.63339e-02
-   5  sg_p4        7.24773e-01   5.61261e-02   1.85033e-02   4.35514e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.965e-01 -2.282e-02 -6.210e-01 -1.671e-02 
- -1.965e-01  5.945e-01 -6.118e-01  1.389e+00  4.341e-02 
- -2.282e-02 -6.118e-01  2.433e+00 -1.664e+00 -5.404e-02 
- -6.210e-01  1.389e+00 -1.664e+00  4.986e+00  1.270e-01 
- -1.671e-02  4.341e-02 -5.404e-02  1.270e-01  3.808e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.67158   1.000 -0.500 -0.029 -0.546 -0.531
-        2  0.91709  -0.500  1.000 -0.509  0.807  0.912
-        3  0.68224  -0.029 -0.509  1.000 -0.478 -0.561
-        4  0.92836  -0.546  0.807 -0.478  1.000  0.922
-        5  0.96819  -0.531  0.912 -0.561  0.922  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM HESSE     STATUS=OK             31 CALLS         310 TOTAL
-                     EDM=1.26117e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07915e+02   4.85233e-01   1.67378e-04   6.48251e-02
-   2  sg_p1        1.72285e+01   6.67550e-01   4.01065e-04  -3.89892e-01
-   3  sg_p2        6.00885e+02   1.49623e+00   3.22976e-04   3.52384e-01
-   4  sg_p3        3.39190e+01   1.92936e+00   6.89997e-05  -6.45190e-01
-   5  sg_p4        7.24773e-01   4.89776e-02   7.40132e-04  -9.87850e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.355e-01 -1.368e-01 -9.181e-02 -4.464e-01 -1.164e-02 
- -1.368e-01  4.459e-01 -4.412e-01  9.559e-01  3.085e-02 
- -9.181e-02 -4.412e-01  2.239e+00 -1.168e+00 -3.968e-02 
- -4.464e-01  9.559e-01 -1.168e+00  3.724e+00  9.043e-02 
- -1.164e-02  3.085e-02 -3.968e-02  9.043e-02  2.749e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62849   1.000 -0.422 -0.126 -0.477 -0.457
-        2  0.88775  -0.422  1.000 -0.442  0.742  0.881
-        3  0.64733  -0.126 -0.442  1.000 -0.405 -0.506
-        4  0.90281  -0.477  0.742 -0.405  1.000  0.894
-        5  0.95565  -0.457  0.881 -0.506  0.894  1.000
-600
-607.915 +- 0.485233
-17.2285 +- 0.66755
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21050.7 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -2.45953e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.88326e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.88080e+02
-   4  sg_p3        4.00581e+01   1.20000e+01   8.28277e-02  -3.70864e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79687e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM MIGRAD    STATUS=CONVERGED     330 CALLS         331 TOTAL
-                     EDM=4.39005e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05123e+02   4.29424e-01   7.69738e-04   2.63328e-01
-   2  sg_p1        1.74149e+01   6.34617e-01   1.82227e-03  -3.70681e-04
-   3  sg_p2        5.99738e+02   1.64211e+00   1.95138e-03   3.85233e-02
-   4  sg_p3        3.56367e+01   2.67089e+00   2.08773e-03   1.43347e-02
-   5  sg_p4        7.87200e-01   4.88787e-02   1.01395e-02   6.65902e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.844e-01 -1.102e-01 -1.471e-01 -5.033e-01 -9.306e-03 
- -1.102e-01  4.030e-01 -3.214e-01  1.334e+00  2.833e-02 
- -1.471e-01 -3.214e-01  2.697e+00 -1.302e+00 -2.911e-02 
- -5.033e-01  1.334e+00 -1.302e+00  7.141e+00  1.227e-01 
- -9.306e-03  2.833e-02 -2.911e-02  1.227e-01  2.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.58762   1.000 -0.404 -0.209 -0.439 -0.433
-        2  0.89717  -0.404  1.000 -0.308  0.786  0.893
-        3  0.53678  -0.209 -0.308  1.000 -0.297 -0.355
-        4  0.92270  -0.439  0.786 -0.297  1.000  0.918
-        5  0.96074  -0.433  0.893 -0.355  0.918  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM HESSE     STATUS=OK             31 CALLS         362 TOTAL
-                     EDM=4.37345e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.05123e+02   4.25719e-01   1.53948e-04   2.72521e-03
-   2  sg_p1        1.74149e+01   6.21639e-01   7.28909e-05  -3.77714e-01
-   3  sg_p2        5.99738e+02   1.64785e+00   3.90277e-04   3.36136e-01
-   4  sg_p3        3.56367e+01   2.61918e+00   8.35094e-05  -6.09822e-01
-   5  sg_p4        7.87200e-01   4.78840e-02   4.05579e-04  -4.31980e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.812e-01 -1.028e-01 -1.491e-01 -4.715e-01 -8.683e-03 
- -1.028e-01  3.866e-01 -3.221e-01  1.267e+00  2.701e-02 
- -1.491e-01 -3.221e-01  2.716e+00 -1.312e+00 -2.930e-02 
- -4.715e-01  1.267e+00 -1.312e+00  6.867e+00  1.173e-01 
- -8.683e-03  2.701e-02 -2.930e-02  1.173e-01  2.394e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.57780   1.000 -0.388 -0.212 -0.423 -0.417
-        2  0.89257  -0.388  1.000 -0.314  0.777  0.888
-        3  0.54137  -0.212 -0.314  1.000 -0.304 -0.363
-        4  0.91948  -0.423  0.777 -0.304  1.000  0.915
-        5  0.95897  -0.417  0.888 -0.363  0.915  1.000
-600
-605.123 +- 0.425719
-17.4149 +- 0.621639
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20832.1 FROM MIGRAD    STATUS=INITIATE       35 CALLS          36 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10122e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.39759e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.41911e+02
-   4  sg_p3        5.22092e+01   1.20000e+01  -3.01040e-01  -3.82741e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79614e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=2.70998e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06501e+02   4.51807e-01   7.97409e-04  -7.03207e-02
-   2  sg_p1        1.77334e+01   6.52405e-01   1.87706e-03  -1.65059e-02
-   3  sg_p2        5.99469e+02   1.79002e+00   1.94437e-03  -5.75168e-02
-   4  sg_p3        3.61659e+01   2.58390e+00   2.08852e-03   2.55527e-02
-   5  sg_p4        7.77016e-01   4.86366e-02   1.06632e-02  -1.67483e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.041e-01 -1.198e-01 -9.305e-02 -5.364e-01 -9.937e-03 
- -1.198e-01  4.259e-01 -5.231e-01  1.301e+00  2.891e-02 
- -9.305e-02 -5.231e-01  3.205e+00 -1.947e+00 -4.507e-02 
- -5.364e-01  1.301e+00 -1.947e+00  6.683e+00  1.171e-01 
- -9.937e-03  2.891e-02 -4.507e-02  1.171e-01  2.483e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60028   1.000 -0.406 -0.115 -0.459 -0.441
-        2  0.89400  -0.406  1.000 -0.448  0.771  0.889
-        3  0.63123  -0.115 -0.448  1.000 -0.421 -0.505
-        4  0.91499  -0.459  0.771 -0.421  1.000  0.909
-        5  0.95914  -0.441  0.889 -0.505  0.909  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=2.68748e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06501e+02   4.47624e-01   1.59482e-04   3.33576e-02
-   2  sg_p1        1.77334e+01   6.37778e-01   7.50826e-05  -3.57025e-01
-   3  sg_p2        5.99469e+02   1.79219e+00   3.88875e-04   3.32337e-01
-   4  sg_p3        3.61659e+01   2.52790e+00   8.35409e-05  -5.99103e-01
-   5  sg_p4        7.77016e-01   4.75332e-02   4.26528e-04  -5.08149e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.004e-01 -1.112e-01 -1.007e-01 -5.017e-01 -9.233e-03 
- -1.112e-01  4.070e-01 -5.109e-01  1.227e+00  2.742e-02 
- -1.007e-01 -5.109e-01  3.213e+00 -1.905e+00 -4.423e-02 
- -5.017e-01  1.227e+00 -1.905e+00  6.396e+00  1.113e-01 
- -9.233e-03  2.742e-02 -4.423e-02  1.113e-01  2.366e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.59019   1.000 -0.389 -0.126 -0.443 -0.424
-        2  0.88878  -0.389  1.000 -0.447  0.760  0.884
-        3  0.63238  -0.126 -0.447  1.000 -0.420 -0.507
-        4  0.91099  -0.443  0.760 -0.420  1.000  0.904
-        5  0.95708  -0.424  0.884 -0.507  0.904  1.000
-600
-606.501 +- 0.447624
-17.7334 +- 0.637778
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21392 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.65951e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.31252e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.10216e+02
-   4  sg_p3        4.66234e+01   1.20000e+01  -4.00208e-01  -5.49343e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.97937e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM MIGRAD    STATUS=CONVERGED     269 CALLS         270 TOTAL
-                     EDM=8.82705e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06547e+02   4.53645e-01   7.81411e-04  -3.17610e-01
-   2  sg_p1        1.71843e+01   6.39064e-01   1.86421e-03  -1.15499e-01
-   3  sg_p2        5.99736e+02   1.60177e+00   1.78744e-03  -2.73906e-01
-   4  sg_p3        3.43642e+01   2.28667e+00   1.90587e-03  -2.99641e-02
-   5  sg_p4        7.67062e-01   4.97568e-02   1.14541e-02   2.14855e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.058e-01 -1.334e-01 -7.609e-02 -5.233e-01 -1.147e-02 
- -1.334e-01  4.086e-01 -4.283e-01  1.132e+00  2.917e-02 
- -7.609e-02 -4.283e-01  2.566e+00 -1.449e+00 -3.913e-02 
- -5.233e-01  1.132e+00 -1.449e+00  5.233e+00  1.065e-01 
- -1.147e-02  2.917e-02 -3.913e-02  1.065e-01  2.619e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.63674   1.000 -0.460 -0.105 -0.504 -0.494
-        2  0.89676  -0.460  1.000 -0.418  0.774  0.892
-        3  0.61833  -0.105 -0.418  1.000 -0.395 -0.477
-        4  0.91625  -0.504  0.774 -0.395  1.000  0.910
-        5  0.96016  -0.494  0.892 -0.477  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM HESSE     STATUS=OK             31 CALLS         301 TOTAL
-                     EDM=8.5019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06547e+02   4.46977e-01   1.56282e-04   3.43777e-02
-   2  sg_p1        1.71843e+01   6.16688e-01   3.72843e-04  -3.92793e-01
-   3  sg_p2        5.99736e+02   1.59872e+00   3.57489e-04   3.36110e-01
-   4  sg_p3        3.43642e+01   2.20755e+00   7.62346e-05  -6.35935e-01
-   5  sg_p4        7.67062e-01   4.79510e-02   4.58166e-04  -5.85865e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.998e-01 -1.203e-01 -8.781e-02 -4.759e-01 -1.035e-02 
- -1.203e-01  3.805e-01 -4.057e-01  1.032e+00  2.680e-02 
- -8.781e-02 -4.057e-01  2.556e+00 -1.372e+00 -3.733e-02 
- -4.759e-01  1.032e+00 -1.372e+00  4.877e+00  9.814e-02 
- -1.035e-02  2.680e-02 -3.733e-02  9.814e-02  2.422e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62255   1.000 -0.436 -0.123 -0.482 -0.470
-        2  0.88865  -0.436  1.000 -0.411  0.757  0.883
-        3  0.61643  -0.123 -0.411  1.000 -0.389 -0.474
-        4  0.90983  -0.482  0.757 -0.389  1.000  0.903
-        5  0.95684  -0.470  0.883 -0.474  0.903  1.000
-600
-606.547 +- 0.446977
-17.1843 +- 0.616688
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19809.1 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -3.98661e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.36177e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.54710e+02
-   4  sg_p3        5.02879e+01   1.20000e+01  -3.34752e-01   5.32152e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.78206e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM MIGRAD    STATUS=CONVERGED     302 CALLS         303 TOTAL
-                     EDM=4.9436e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06510e+02   4.72659e-01   7.94140e-04   3.55653e-02
-   2  sg_p1        1.74543e+01   6.69157e-01   1.87997e-03   6.61865e-02
-   3  sg_p2        5.99840e+02   1.69608e+00   1.82702e-03  -5.88858e-02
-   4  sg_p3        3.49426e+01   2.46655e+00   1.95035e-03   5.14767e-02
-   5  sg_p4        7.67921e-01   5.16557e-02   1.14960e-02  -1.52477e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.234e-01 -1.390e-01 -9.895e-02 -5.678e-01 -1.194e-02 
- -1.390e-01  4.481e-01 -4.692e-01  1.277e+00  3.171e-02 
- -9.895e-02 -4.692e-01  2.877e+00 -1.630e+00 -4.248e-02 
- -5.678e-01  1.277e+00 -1.630e+00  6.089e+00  1.197e-01 
- -1.194e-02  3.171e-02 -4.248e-02  1.197e-01  2.834e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62474   1.000 -0.439 -0.123 -0.487 -0.474
-        2  0.89528  -0.439  1.000 -0.413  0.773  0.890
-        3  0.61443  -0.123 -0.413  1.000 -0.390 -0.470
-        4  0.91716  -0.487  0.773 -0.390  1.000  0.911
-        5  0.96008  -0.474  0.890 -0.470  0.911  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM HESSE     STATUS=OK             31 CALLS         334 TOTAL
-                     EDM=4.86529e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06510e+02   4.66252e-01   1.58828e-04   3.35643e-02
-   2  sg_p1        1.74543e+01   6.46362e-01   3.75994e-04  -3.75146e-01
-   3  sg_p2        5.99840e+02   1.69368e+00   3.65403e-04   3.37581e-01
-   4  sg_p3        3.49426e+01   2.38364e+00   7.80141e-05  -6.24005e-01
-   5  sg_p4        7.67921e-01   4.98421e-02   4.59842e-04  -5.79010e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.174e-01 -1.255e-01 -1.108e-01 -5.172e-01 -1.078e-02 
- -1.255e-01  4.180e-01 -4.460e-01  1.166e+00  2.921e-02 
- -1.108e-01 -4.460e-01  2.869e+00 -1.550e+00 -4.066e-02 
- -5.172e-01  1.166e+00 -1.550e+00  5.686e+00  1.105e-01 
- -1.078e-02  2.921e-02 -4.066e-02  1.105e-01  2.627e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61109   1.000 -0.416 -0.140 -0.465 -0.451
-        2  0.88728  -0.416  1.000 -0.407  0.756  0.881
-        3  0.61300  -0.140 -0.407  1.000 -0.384 -0.468
-        4  0.91100  -0.465  0.756 -0.384  1.000  0.904
-        5  0.95686  -0.451  0.881 -0.468  0.904  1.000
-600
-606.51 +- 0.466252
-17.4543 +- 0.646362
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22637.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.51042e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.38232e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.64920e+02
-   4  sg_p3        5.14784e+01   1.20000e+01  -3.13819e-01  -6.61183e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -2.02962e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM MIGRAD    STATUS=CONVERGED     257 CALLS         258 TOTAL
-                     EDM=0.000145317    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06503e+02   4.37713e-01   7.91387e-04   5.04043e-01
-   2  sg_p1        1.75196e+01   6.16845e-01   1.86865e-03   2.85731e-01
-   3  sg_p2        5.99868e+02   1.60326e+00   1.87702e-03   4.97177e-02
-   4  sg_p3        3.53013e+01   2.35156e+00   2.00555e-03  -3.27558e-01
-   5  sg_p4        7.72033e-01   4.73986e-02   1.10014e-02   3.49818e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.916e-01 -1.162e-01 -9.469e-02 -4.921e-01 -9.894e-03 
- -1.162e-01  3.807e-01 -3.958e-01  1.117e+00  2.658e-02 
- -9.469e-02 -3.958e-01  2.571e+00 -1.422e+00 -3.558e-02 
- -4.921e-01  1.117e+00 -1.422e+00  5.534e+00  1.039e-01 
- -9.894e-03  2.658e-02 -3.558e-02  1.039e-01  2.357e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61676   1.000 -0.430 -0.135 -0.478 -0.466
-        2  0.89248  -0.430  1.000 -0.400  0.769  0.887
-        3  0.60372  -0.135 -0.400  1.000 -0.377 -0.457
-        4  0.91576  -0.478  0.769 -0.377  1.000  0.910
-        5  0.95892  -0.466  0.887 -0.457  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM HESSE     STATUS=OK             31 CALLS         289 TOTAL
-                     EDM=0.000143345    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06503e+02   4.32589e-01   1.58277e-04   3.34012e-02
-   2  sg_p1        1.75196e+01   5.99409e-01   3.73730e-04  -3.70891e-01
-   3  sg_p2        5.99868e+02   1.60399e+00   3.75403e-04   3.37969e-01
-   4  sg_p3        3.53013e+01   2.28660e+00   4.01111e-04  -6.16657e-01
-   5  sg_p4        7.72033e-01   4.60130e-02   4.40057e-04  -5.46595e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.871e-01 -1.064e-01 -1.024e-01 -4.539e-01 -9.063e-03 
- -1.064e-01  3.595e-01 -3.824e-01  1.036e+00  2.483e-02 
- -1.024e-01 -3.824e-01  2.573e+00 -1.376e+00 -3.459e-02 
- -4.539e-01  1.036e+00 -1.376e+00  5.232e+00  9.734e-02 
- -9.063e-03  2.483e-02 -3.459e-02  9.734e-02  2.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60467   1.000 -0.410 -0.148 -0.459 -0.445
-        2  0.88572  -0.410  1.000 -0.398  0.756  0.880
-        3  0.60420  -0.148 -0.398  1.000 -0.375 -0.458
-        4  0.91066  -0.459  0.756 -0.375  1.000  0.904
-        5  0.95622  -0.445  0.880 -0.458  0.904  1.000
-600
-606.503 +- 0.432589
-17.5196 +- 0.599409
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 81 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 606.507 +- 0.449294 (stat) - 1.38396 + 1.4085 (syst); -1.40207/+1.4263 (total)
-   Uncertainty on sg_p1 = 17.4848 +- 0.623965 (stat) - 0.300472 + 0.248681 (syst); -0.433147/+0.398968 (total)
-   Uncertainty on sg_p2 = 599.858 +- 1.64758 (stat) - 0.389024 + 1.02722 (syst); -0.911028/+1.31674 (total)
-   Uncertainty on sg_p3 = 35.1205 +- 2.33871 (stat) - 1.20153 + 1.04536 (syst); -1.67663/+1.56849 (total)
-   Uncertainty on sg_p4 = 0.769875 +- 0.048015 (stat) - 0.0451018 + 0.0173244 (syst); -0.0510934/+0.0296057 (total) 
-   === Baseline plot === </br>
-   norm = 1712.99
-JEC     lnN   1.00275  -
-JER     lnN   1.01626  -
-btag    lnN   1.06714  -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out
deleted file mode 100644
index 0a94591..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.050
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000178541  -0.000178541/+0.0170629  (68% CL)
-nll S+B -> -0.00668646  nll B -> -0.00663102
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out
deleted file mode 100644
index ff1af72..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.034981:	q_mu = 3.86658	q_A  = 3.85549	CLsb = 0.02463	CLb  = 0.49887	CLs  = 0.04937
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0350
-Expected  2.5%: r < 0.0187
-Expected 16.0%: r < 0.0252
-Expected 50.0%: r < 0.0347
-Expected 84.0%: r < 0.0499
-Expected 97.5%: r < 0.0694
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt
deleted file mode 100644
index 2b49156..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1712.99 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06714    -
-JER       lnN     1.01626   - 
-JEC       lnN     1.00275   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0229477477   -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/pdf.log
deleted file mode 100644
index 1900262..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.9498 FROM MIGRAD    STATUS=CONVERGED      71 CALLS          72 TOTAL
-                     EDM=6.95637e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.30566e+01   1.77733e+00   2.65488e-03   2.23742e-05
-   2  Mean         1.00046e+00   3.03346e-03   5.72003e-06   3.78371e-01
-   3  Sigma        2.29477e-02   2.84199e-03   6.88862e-05   6.32201e-03
-1.00046088083 +/- 0.0030334648545
-0.0229477477015 +/- 0.00284199080585
-PDF lnN 1.0229477477
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/signal600_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/signal600_sig.log
deleted file mode 100644
index 3215894..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_600_novo_285_624/signal600_sig.log
+++ /dev/null
@@ -1,843 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24280 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.58677e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.18368e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.42384e+03
-   4  sg_p3        4.21820e+01   1.20000e+01  -4.82092e-01  -6.03718e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   7.69925e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM MIGRAD    STATUS=CONVERGED     442 CALLS         443 TOTAL
-                     EDM=3.37608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.88137e+02   2.17401e+00   1.57187e-03   5.45097e-02
-   2  sg_p1        2.90958e+01   6.86009e-01   3.13675e-03   7.79119e-02
-   3  sg_p2        5.59880e+02   5.00457e+00   1.98829e-03  -7.62283e-02
-   4  sg_p3        3.62716e+01   3.18321e+00   2.14823e-03   9.85100e-02
-   5  sg_p4        7.00002e-01   2.12576e-01   1.12952e-01   2.90847e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.731e+00 -1.030e+00 -9.979e+00 -6.388e+00 -2.483e-04 
- -1.030e+00  4.709e-01  2.213e+00  1.252e+00  1.258e-04 
- -9.979e+00  2.213e+00  2.508e+01  1.471e+01 -7.877e-04 
- -6.388e+00  1.252e+00  1.471e+01  1.015e+01  1.142e-06 
- -2.483e-04  1.258e-04 -7.877e-04  1.142e-06  1.239e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95782   1.000 -0.690 -0.916 -0.922 -0.103
-        2  0.73673  -0.690  1.000  0.644  0.573  0.165
-        3  0.96060  -0.916  0.644  1.000  0.922 -0.141
-        4  0.94775  -0.922  0.573  0.922  1.000  0.000
-        5  0.62405  -0.103  0.165 -0.141  0.000  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM HESSE     STATUS=OK             35 CALLS         478 TOTAL
-                     EDM=0.000121989    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.88137e+02   3.29842e+00   3.14373e-04  -3.84102e-01
-   2  sg_p1        2.90958e+01   1.12225e+00   1.25470e-04   3.45999e-01
-   3  sg_p2        5.59880e+02   4.99521e+00   3.97658e-04  -2.02989e-01
-   4  sg_p3        3.62716e+01   3.76792e+00   8.59293e-05  -5.96971e-01
-   5  sg_p4        7.00002e-01   2.43034e-01   4.60846e-01  -1.56553e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e+01 -3.238e+00 -9.781e+00 -1.140e+01 -3.564e-03 
- -3.238e+00  1.262e+00  2.139e+00  3.042e+00  1.285e-03 
- -9.781e+00  2.139e+00  2.499e+01  1.455e+01 -2.935e-04 
- -1.140e+01  3.042e+00  1.455e+01  1.422e+01  2.841e-03 
- -3.564e-03  1.285e-03 -2.935e-04  2.841e-03  2.063e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.98192   1.000 -0.873 -0.593 -0.915 -0.752
-        2  0.91068  -0.873  1.000  0.381  0.718  0.797
-        3  0.96045  -0.593  0.381  1.000  0.772 -0.041
-        4  0.96302  -0.915  0.718  0.772  1.000  0.524
-        5  0.96908  -0.752  0.797 -0.041  0.524  1.000
-600
-588.137 +- 3.29842
-29.0958 +- 1.12225
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23767.1 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.17349e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.02365e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.16298e+03
-   4  sg_p3        4.39845e+01   1.20000e+01  -4.48474e-01   4.93391e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   6.61691e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=4.72305e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92012e+02   1.51134e+00   1.46358e-03   1.14647e-01
-   2  sg_p1        2.81327e+01   6.59039e-01   2.96171e-03  -1.30179e-01
-   3  sg_p2        5.58427e+02   3.47970e+00   1.93226e-03   6.71315e-02
-   4  sg_p3        3.58696e+01   2.45943e+00   2.12007e-03   3.27001e-02
-   5  sg_p4        7.00002e-01   6.59449e-02   8.47138e-02   5.69759e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.285e+00 -7.049e-01 -4.524e+00 -3.253e+00 -8.515e-05 
- -7.049e-01  4.346e-01  1.539e+00  9.868e-01  4.573e-05 
- -4.524e+00  1.539e+00  1.212e+01  7.552e+00 -3.909e-04 
- -3.253e+00  9.868e-01  7.552e+00  6.054e+00 -5.215e-05 
- -8.515e-05  4.573e-05 -3.909e-04 -5.215e-05  5.765e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91672   1.000 -0.707 -0.860 -0.875 -0.074
-        2  0.73205  -0.707  1.000  0.671  0.608  0.091
-        3  0.92123  -0.860  0.671  1.000  0.882 -0.148
-        4  0.91302  -0.875  0.608  0.882  1.000 -0.028
-        5  0.44297  -0.074  0.091 -0.148 -0.028  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM HESSE     STATUS=OK             37 CALLS         367 TOTAL
-                     EDM=3.83352e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92012e+02   1.96656e+00   2.92716e-04  -2.92785e-01
-   2  sg_p1        2.81327e+01   8.71252e-01   5.92343e-04   2.84598e-01
-   3  sg_p2        5.58427e+02   3.77659e+00   3.86452e-04  -2.22807e-01
-   4  sg_p3        3.58696e+01   2.54070e+00   8.48026e-05  -6.05095e-01
-   5  sg_p4        7.00002e-01   1.87580e-01   5.00000e-01  -1.56561e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.870e+00 -1.423e+00 -2.748e+00 -4.031e+00 -1.028e-03 
- -1.423e+00  7.598e-01  7.297e-01  1.337e+00  4.676e-04 
- -2.748e+00  7.297e-01  1.428e+01  6.747e+00 -1.238e-03 
- -4.031e+00  1.337e+00  6.747e+00  6.461e+00  4.747e-04 
- -1.028e-03  4.676e-04 -1.238e-03  4.747e-04  6.718e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95171   1.000 -0.830 -0.370 -0.806 -0.637
-        2  0.85706  -0.830  1.000  0.222  0.604  0.654
-        3  0.93356  -0.370  0.222  1.000  0.703 -0.400
-        4  0.91874  -0.806  0.604  0.703  1.000  0.228
-        5  0.94267  -0.637  0.654 -0.400  0.228  1.000
-600
-592.012 +- 1.96656
-28.1327 +- 0.871252
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24394 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.94278e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.29909e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.67228e+03
-   4  sg_p3        4.09440e+01   1.20000e+01  -5.05526e-01  -7.57306e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   8.58548e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM MIGRAD    STATUS=CONVERGED     638 CALLS         639 TOTAL
-                     EDM=8.42969e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.78603e+02   5.64911e-01   1.40473e-03   3.72907e-01
-   2  sg_p1        3.20881e+01   4.06669e-01   2.67756e-03   1.44036e-01
-   3  sg_p2        5.00002e+02   1.10618e+02   1.52750e-01  -2.88106e-03
-   4  sg_p3        6.94039e+01   2.89324e+01   3.44374e-02  -1.04731e-02
-   5  sg_p4        9.76772e-01   7.03168e-03   5.92623e-03  -8.42769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.191e-01 -1.408e-02  3.587e-02 -7.029e+00  1.364e-04 
- -1.408e-02  1.654e-01 -3.289e-02 -2.769e+00  1.295e-03 
-  3.587e-02 -3.289e-02  6.513e-01 -1.947e+00 -1.609e-03 
- -7.029e+00 -2.769e+00 -1.947e+00  9.115e+02 -1.280e-01 
-  1.364e-04  1.295e-03 -1.609e-03 -1.280e-01  4.957e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49930   1.000 -0.061  0.079 -0.412  0.034
-        2  0.46165  -0.061  1.000 -0.100 -0.225  0.452
-        3  0.43169   0.079 -0.100  1.000 -0.080 -0.283
-        4  0.75355  -0.412 -0.225 -0.080  1.000 -0.602
-        5  0.76469   0.034  0.452 -0.283 -0.602  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM HESSE     STATUS=OK             35 CALLS         674 TOTAL
-                     EDM=8.36581e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.78603e+02   5.65787e-01   2.80946e-04  -6.26852e-01
-   2  sg_p1        3.20881e+01   4.25746e-01   5.35511e-04   5.47427e-01
-   3  sg_p2        5.00002e+02   9.83339e+01   5.00000e-01  -1.57791e+00
-   4  sg_p3        6.94039e+01   2.99669e+01   6.88747e-03  -9.93577e-03
-   5  sg_p4        9.76772e-01   9.53722e-03   1.18525e-03   1.00684e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.201e-01 -1.400e-02  1.487e-02 -7.254e+00  1.740e-04 
- -1.400e-02  1.813e-01 -8.069e-02 -3.550e+00  2.110e-03 
-  1.487e-02 -8.069e-02  3.935e-01  2.133e+00 -4.095e-03 
- -7.254e+00 -3.550e+00  2.133e+00  9.846e+02 -1.706e-01 
-  1.740e-04  2.110e-03 -4.095e-03 -1.706e-01  9.139e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50162   1.000 -0.058  0.042 -0.409  0.032
-        2  0.53111  -0.058  1.000 -0.302 -0.266  0.518
-        3  0.77391   0.042 -0.302  1.000  0.108 -0.683
-        4  0.77455  -0.409 -0.266  0.108  1.000 -0.569
-        5  0.88021   0.032  0.518 -0.683 -0.569  1.000
-600
-578.603 +- 0.565787
-32.0881 +- 0.425746
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21188 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10915e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.89680e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.48216e+02
-   4  sg_p3        5.20622e+01   1.20000e+01  -3.03606e-01   1.51172e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.90966e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM MIGRAD    STATUS=CONVERGED     266 CALLS         267 TOTAL
-                     EDM=3.97173e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06507e+02   4.54842e-01   7.93051e-04   2.28694e-01
-   2  sg_p1        1.74848e+01   6.42892e-01   1.87527e-03  -5.26219e-03
-   3  sg_p2        5.99858e+02   1.64781e+00   1.84882e-03   3.91300e-02
-   4  sg_p3        3.51205e+01   2.40944e+00   1.97487e-03  -2.11296e-02
-   5  sg_p4        7.69875e-01   4.95303e-02   1.12811e-02   5.41517e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.069e-01 -1.274e-01 -9.667e-02 -5.293e-01 -1.089e-02 
- -1.274e-01  4.136e-01 -4.310e-01  1.196e+00  2.909e-02 
- -9.667e-02 -4.310e-01  2.716e+00 -1.523e+00 -3.888e-02 
- -5.293e-01  1.196e+00 -1.523e+00  5.810e+00  1.117e-01 
- -1.089e-02  2.909e-02 -3.888e-02  1.117e-01  2.589e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62100   1.000 -0.435 -0.129 -0.483 -0.470
-        2  0.89410  -0.435  1.000 -0.407  0.772  0.889
-        3  0.60904  -0.129 -0.407  1.000 -0.383 -0.464
-        4  0.91664  -0.483  0.772 -0.383  1.000  0.910
-        5  0.95959  -0.470  0.889 -0.464  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM HESSE     STATUS=OK             31 CALLS         298 TOTAL
-                     EDM=3.94319e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06507e+02   4.49294e-01   1.58610e-04   3.34861e-02
-   2  sg_p1        1.74848e+01   6.23965e-01   7.50107e-05  -3.73160e-01
-   3  sg_p2        5.99858e+02   1.64758e+00   3.69764e-04   3.37830e-01
-   4  sg_p3        3.51205e+01   2.33871e+00   7.89949e-05  -6.20356e-01
-   5  sg_p4        7.69875e-01   4.80150e-02   4.51245e-04  -5.63520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.019e-01 -1.162e-01 -1.057e-01 -4.868e-01 -9.943e-03 
- -1.162e-01  3.895e-01 -4.147e-01  1.106e+00  2.709e-02 
- -1.057e-01 -4.147e-01  2.715e+00 -1.465e+00 -3.762e-02 
- -4.868e-01  1.106e+00 -1.465e+00  5.474e+00  1.042e-01 
- -9.943e-03  2.709e-02 -3.762e-02  1.042e-01  2.425e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60859   1.000 -0.414 -0.143 -0.463 -0.449
-        2  0.88716  -0.414  1.000 -0.403  0.757  0.881
-        3  0.60890  -0.143 -0.403  1.000 -0.380 -0.464
-        4  0.91127  -0.463  0.757 -0.380  1.000  0.905
-        5  0.95679  -0.449  0.881 -0.464  0.905  1.000
-600
-606.507 +- 0.449294
-17.4848 +- 0.623965
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20985 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -6.03053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.30191e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.66899e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.40682e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01  -1.90294e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM MIGRAD    STATUS=CONVERGED     278 CALLS         279 TOTAL
-                     EDM=1.57711e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07915e+02   5.09392e-01   8.36892e-04  -1.25909e-01
-   2  sg_p1        1.72285e+01   7.70692e-01   2.00532e-03  -9.85888e-02
-   3  sg_p2        6.00885e+02   1.55983e+00   1.61488e-03   1.97987e-02
-   4  sg_p3        3.39190e+01   2.23203e+00   1.72499e-03  -5.63339e-02
-   5  sg_p4        7.24773e-01   5.61261e-02   1.85033e-02   4.35514e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.965e-01 -2.282e-02 -6.210e-01 -1.671e-02 
- -1.965e-01  5.945e-01 -6.118e-01  1.389e+00  4.341e-02 
- -2.282e-02 -6.118e-01  2.433e+00 -1.664e+00 -5.404e-02 
- -6.210e-01  1.389e+00 -1.664e+00  4.986e+00  1.270e-01 
- -1.671e-02  4.341e-02 -5.404e-02  1.270e-01  3.808e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.67158   1.000 -0.500 -0.029 -0.546 -0.531
-        2  0.91709  -0.500  1.000 -0.509  0.807  0.912
-        3  0.68224  -0.029 -0.509  1.000 -0.478 -0.561
-        4  0.92836  -0.546  0.807 -0.478  1.000  0.922
-        5  0.96819  -0.531  0.912 -0.561  0.922  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM HESSE     STATUS=OK             31 CALLS         310 TOTAL
-                     EDM=1.26117e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07915e+02   4.85233e-01   1.67378e-04   6.48251e-02
-   2  sg_p1        1.72285e+01   6.67550e-01   4.01065e-04  -3.89892e-01
-   3  sg_p2        6.00885e+02   1.49623e+00   3.22976e-04   3.52384e-01
-   4  sg_p3        3.39190e+01   1.92936e+00   6.89997e-05  -6.45190e-01
-   5  sg_p4        7.24773e-01   4.89776e-02   7.40132e-04  -9.87850e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.355e-01 -1.368e-01 -9.181e-02 -4.464e-01 -1.164e-02 
- -1.368e-01  4.459e-01 -4.412e-01  9.559e-01  3.085e-02 
- -9.181e-02 -4.412e-01  2.239e+00 -1.168e+00 -3.968e-02 
- -4.464e-01  9.559e-01 -1.168e+00  3.724e+00  9.043e-02 
- -1.164e-02  3.085e-02 -3.968e-02  9.043e-02  2.749e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62849   1.000 -0.422 -0.126 -0.477 -0.457
-        2  0.88775  -0.422  1.000 -0.442  0.742  0.881
-        3  0.64733  -0.126 -0.442  1.000 -0.405 -0.506
-        4  0.90281  -0.477  0.742 -0.405  1.000  0.894
-        5  0.95565  -0.457  0.881 -0.506  0.894  1.000
-600
-607.915 +- 0.485233
-17.2285 +- 0.66755
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21050.7 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -2.45953e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.88326e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.88080e+02
-   4  sg_p3        4.00581e+01   1.20000e+01   8.28277e-02  -3.70864e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79687e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM MIGRAD    STATUS=CONVERGED     330 CALLS         331 TOTAL
-                     EDM=4.39005e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05123e+02   4.29424e-01   7.69738e-04   2.63328e-01
-   2  sg_p1        1.74149e+01   6.34617e-01   1.82227e-03  -3.70681e-04
-   3  sg_p2        5.99738e+02   1.64211e+00   1.95138e-03   3.85233e-02
-   4  sg_p3        3.56367e+01   2.67089e+00   2.08773e-03   1.43347e-02
-   5  sg_p4        7.87200e-01   4.88787e-02   1.01395e-02   6.65902e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.844e-01 -1.102e-01 -1.471e-01 -5.033e-01 -9.306e-03 
- -1.102e-01  4.030e-01 -3.214e-01  1.334e+00  2.833e-02 
- -1.471e-01 -3.214e-01  2.697e+00 -1.302e+00 -2.911e-02 
- -5.033e-01  1.334e+00 -1.302e+00  7.141e+00  1.227e-01 
- -9.306e-03  2.833e-02 -2.911e-02  1.227e-01  2.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.58762   1.000 -0.404 -0.209 -0.439 -0.433
-        2  0.89717  -0.404  1.000 -0.308  0.786  0.893
-        3  0.53678  -0.209 -0.308  1.000 -0.297 -0.355
-        4  0.92270  -0.439  0.786 -0.297  1.000  0.918
-        5  0.96074  -0.433  0.893 -0.355  0.918  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM HESSE     STATUS=OK             31 CALLS         362 TOTAL
-                     EDM=4.37345e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.05123e+02   4.25719e-01   1.53948e-04   2.72521e-03
-   2  sg_p1        1.74149e+01   6.21639e-01   7.28909e-05  -3.77714e-01
-   3  sg_p2        5.99738e+02   1.64785e+00   3.90277e-04   3.36136e-01
-   4  sg_p3        3.56367e+01   2.61918e+00   8.35094e-05  -6.09822e-01
-   5  sg_p4        7.87200e-01   4.78840e-02   4.05579e-04  -4.31980e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.812e-01 -1.028e-01 -1.491e-01 -4.715e-01 -8.683e-03 
- -1.028e-01  3.866e-01 -3.221e-01  1.267e+00  2.701e-02 
- -1.491e-01 -3.221e-01  2.716e+00 -1.312e+00 -2.930e-02 
- -4.715e-01  1.267e+00 -1.312e+00  6.867e+00  1.173e-01 
- -8.683e-03  2.701e-02 -2.930e-02  1.173e-01  2.394e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.57780   1.000 -0.388 -0.212 -0.423 -0.417
-        2  0.89257  -0.388  1.000 -0.314  0.777  0.888
-        3  0.54137  -0.212 -0.314  1.000 -0.304 -0.363
-        4  0.91948  -0.423  0.777 -0.304  1.000  0.915
-        5  0.95897  -0.417  0.888 -0.363  0.915  1.000
-600
-605.123 +- 0.425719
-17.4149 +- 0.621639
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20832.1 FROM MIGRAD    STATUS=INITIATE       35 CALLS          36 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10122e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.39759e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.41911e+02
-   4  sg_p3        5.22092e+01   1.20000e+01  -3.01040e-01  -3.82741e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79614e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=2.70998e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06501e+02   4.51807e-01   7.97409e-04  -7.03207e-02
-   2  sg_p1        1.77334e+01   6.52405e-01   1.87706e-03  -1.65059e-02
-   3  sg_p2        5.99469e+02   1.79002e+00   1.94437e-03  -5.75168e-02
-   4  sg_p3        3.61659e+01   2.58390e+00   2.08852e-03   2.55527e-02
-   5  sg_p4        7.77016e-01   4.86366e-02   1.06632e-02  -1.67483e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.041e-01 -1.198e-01 -9.305e-02 -5.364e-01 -9.937e-03 
- -1.198e-01  4.259e-01 -5.231e-01  1.301e+00  2.891e-02 
- -9.305e-02 -5.231e-01  3.205e+00 -1.947e+00 -4.507e-02 
- -5.364e-01  1.301e+00 -1.947e+00  6.683e+00  1.171e-01 
- -9.937e-03  2.891e-02 -4.507e-02  1.171e-01  2.483e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60028   1.000 -0.406 -0.115 -0.459 -0.441
-        2  0.89400  -0.406  1.000 -0.448  0.771  0.889
-        3  0.63123  -0.115 -0.448  1.000 -0.421 -0.505
-        4  0.91499  -0.459  0.771 -0.421  1.000  0.909
-        5  0.95914  -0.441  0.889 -0.505  0.909  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=2.68748e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06501e+02   4.47624e-01   1.59482e-04   3.33576e-02
-   2  sg_p1        1.77334e+01   6.37778e-01   7.50826e-05  -3.57025e-01
-   3  sg_p2        5.99469e+02   1.79219e+00   3.88875e-04   3.32337e-01
-   4  sg_p3        3.61659e+01   2.52790e+00   8.35409e-05  -5.99103e-01
-   5  sg_p4        7.77016e-01   4.75332e-02   4.26528e-04  -5.08149e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.004e-01 -1.112e-01 -1.007e-01 -5.017e-01 -9.233e-03 
- -1.112e-01  4.070e-01 -5.109e-01  1.227e+00  2.742e-02 
- -1.007e-01 -5.109e-01  3.213e+00 -1.905e+00 -4.423e-02 
- -5.017e-01  1.227e+00 -1.905e+00  6.396e+00  1.113e-01 
- -9.233e-03  2.742e-02 -4.423e-02  1.113e-01  2.366e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.59019   1.000 -0.389 -0.126 -0.443 -0.424
-        2  0.88878  -0.389  1.000 -0.447  0.760  0.884
-        3  0.63238  -0.126 -0.447  1.000 -0.420 -0.507
-        4  0.91099  -0.443  0.760 -0.420  1.000  0.904
-        5  0.95708  -0.424  0.884 -0.507  0.904  1.000
-600
-606.501 +- 0.447624
-17.7334 +- 0.637778
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21392 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.65951e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.31252e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.10216e+02
-   4  sg_p3        4.66234e+01   1.20000e+01  -4.00208e-01  -5.49343e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.97937e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM MIGRAD    STATUS=CONVERGED     269 CALLS         270 TOTAL
-                     EDM=8.82705e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06547e+02   4.53645e-01   7.81411e-04  -3.17610e-01
-   2  sg_p1        1.71843e+01   6.39064e-01   1.86421e-03  -1.15499e-01
-   3  sg_p2        5.99736e+02   1.60177e+00   1.78744e-03  -2.73906e-01
-   4  sg_p3        3.43642e+01   2.28667e+00   1.90587e-03  -2.99641e-02
-   5  sg_p4        7.67062e-01   4.97568e-02   1.14541e-02   2.14855e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.058e-01 -1.334e-01 -7.609e-02 -5.233e-01 -1.147e-02 
- -1.334e-01  4.086e-01 -4.283e-01  1.132e+00  2.917e-02 
- -7.609e-02 -4.283e-01  2.566e+00 -1.449e+00 -3.913e-02 
- -5.233e-01  1.132e+00 -1.449e+00  5.233e+00  1.065e-01 
- -1.147e-02  2.917e-02 -3.913e-02  1.065e-01  2.619e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.63674   1.000 -0.460 -0.105 -0.504 -0.494
-        2  0.89676  -0.460  1.000 -0.418  0.774  0.892
-        3  0.61833  -0.105 -0.418  1.000 -0.395 -0.477
-        4  0.91625  -0.504  0.774 -0.395  1.000  0.910
-        5  0.96016  -0.494  0.892 -0.477  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM HESSE     STATUS=OK             31 CALLS         301 TOTAL
-                     EDM=8.5019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06547e+02   4.46977e-01   1.56282e-04   3.43777e-02
-   2  sg_p1        1.71843e+01   6.16688e-01   3.72843e-04  -3.92793e-01
-   3  sg_p2        5.99736e+02   1.59872e+00   3.57489e-04   3.36110e-01
-   4  sg_p3        3.43642e+01   2.20755e+00   7.62346e-05  -6.35935e-01
-   5  sg_p4        7.67062e-01   4.79510e-02   4.58166e-04  -5.85865e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.998e-01 -1.203e-01 -8.781e-02 -4.759e-01 -1.035e-02 
- -1.203e-01  3.805e-01 -4.057e-01  1.032e+00  2.680e-02 
- -8.781e-02 -4.057e-01  2.556e+00 -1.372e+00 -3.733e-02 
- -4.759e-01  1.032e+00 -1.372e+00  4.877e+00  9.814e-02 
- -1.035e-02  2.680e-02 -3.733e-02  9.814e-02  2.422e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62255   1.000 -0.436 -0.123 -0.482 -0.470
-        2  0.88865  -0.436  1.000 -0.411  0.757  0.883
-        3  0.61643  -0.123 -0.411  1.000 -0.389 -0.474
-        4  0.90983  -0.482  0.757 -0.389  1.000  0.903
-        5  0.95684  -0.470  0.883 -0.474  0.903  1.000
-600
-606.547 +- 0.446977
-17.1843 +- 0.616688
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19809.1 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -3.98661e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.36177e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.54710e+02
-   4  sg_p3        5.02879e+01   1.20000e+01  -3.34752e-01   5.32152e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.78206e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM MIGRAD    STATUS=CONVERGED     302 CALLS         303 TOTAL
-                     EDM=4.9436e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06510e+02   4.72659e-01   7.94140e-04   3.55653e-02
-   2  sg_p1        1.74543e+01   6.69157e-01   1.87997e-03   6.61865e-02
-   3  sg_p2        5.99840e+02   1.69608e+00   1.82702e-03  -5.88858e-02
-   4  sg_p3        3.49426e+01   2.46655e+00   1.95035e-03   5.14767e-02
-   5  sg_p4        7.67921e-01   5.16557e-02   1.14960e-02  -1.52477e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.234e-01 -1.390e-01 -9.895e-02 -5.678e-01 -1.194e-02 
- -1.390e-01  4.481e-01 -4.692e-01  1.277e+00  3.171e-02 
- -9.895e-02 -4.692e-01  2.877e+00 -1.630e+00 -4.248e-02 
- -5.678e-01  1.277e+00 -1.630e+00  6.089e+00  1.197e-01 
- -1.194e-02  3.171e-02 -4.248e-02  1.197e-01  2.834e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62474   1.000 -0.439 -0.123 -0.487 -0.474
-        2  0.89528  -0.439  1.000 -0.413  0.773  0.890
-        3  0.61443  -0.123 -0.413  1.000 -0.390 -0.470
-        4  0.91716  -0.487  0.773 -0.390  1.000  0.911
-        5  0.96008  -0.474  0.890 -0.470  0.911  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM HESSE     STATUS=OK             31 CALLS         334 TOTAL
-                     EDM=4.86529e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06510e+02   4.66252e-01   1.58828e-04   3.35643e-02
-   2  sg_p1        1.74543e+01   6.46362e-01   3.75994e-04  -3.75146e-01
-   3  sg_p2        5.99840e+02   1.69368e+00   3.65403e-04   3.37581e-01
-   4  sg_p3        3.49426e+01   2.38364e+00   7.80141e-05  -6.24005e-01
-   5  sg_p4        7.67921e-01   4.98421e-02   4.59842e-04  -5.79010e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.174e-01 -1.255e-01 -1.108e-01 -5.172e-01 -1.078e-02 
- -1.255e-01  4.180e-01 -4.460e-01  1.166e+00  2.921e-02 
- -1.108e-01 -4.460e-01  2.869e+00 -1.550e+00 -4.066e-02 
- -5.172e-01  1.166e+00 -1.550e+00  5.686e+00  1.105e-01 
- -1.078e-02  2.921e-02 -4.066e-02  1.105e-01  2.627e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61109   1.000 -0.416 -0.140 -0.465 -0.451
-        2  0.88728  -0.416  1.000 -0.407  0.756  0.881
-        3  0.61300  -0.140 -0.407  1.000 -0.384 -0.468
-        4  0.91100  -0.465  0.756 -0.384  1.000  0.904
-        5  0.95686  -0.451  0.881 -0.468  0.904  1.000
-600
-606.51 +- 0.466252
-17.4543 +- 0.646362
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22637.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.51042e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.38232e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.64920e+02
-   4  sg_p3        5.14784e+01   1.20000e+01  -3.13819e-01  -6.61183e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -2.02962e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM MIGRAD    STATUS=CONVERGED     257 CALLS         258 TOTAL
-                     EDM=0.000145317    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06503e+02   4.37713e-01   7.91387e-04   5.04043e-01
-   2  sg_p1        1.75196e+01   6.16845e-01   1.86865e-03   2.85731e-01
-   3  sg_p2        5.99868e+02   1.60326e+00   1.87702e-03   4.97177e-02
-   4  sg_p3        3.53013e+01   2.35156e+00   2.00555e-03  -3.27558e-01
-   5  sg_p4        7.72033e-01   4.73986e-02   1.10014e-02   3.49818e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.916e-01 -1.162e-01 -9.469e-02 -4.921e-01 -9.894e-03 
- -1.162e-01  3.807e-01 -3.958e-01  1.117e+00  2.658e-02 
- -9.469e-02 -3.958e-01  2.571e+00 -1.422e+00 -3.558e-02 
- -4.921e-01  1.117e+00 -1.422e+00  5.534e+00  1.039e-01 
- -9.894e-03  2.658e-02 -3.558e-02  1.039e-01  2.357e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61676   1.000 -0.430 -0.135 -0.478 -0.466
-        2  0.89248  -0.430  1.000 -0.400  0.769  0.887
-        3  0.60372  -0.135 -0.400  1.000 -0.377 -0.457
-        4  0.91576  -0.478  0.769 -0.377  1.000  0.910
-        5  0.95892  -0.466  0.887 -0.457  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM HESSE     STATUS=OK             31 CALLS         289 TOTAL
-                     EDM=0.000143345    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06503e+02   4.32589e-01   1.58277e-04   3.34012e-02
-   2  sg_p1        1.75196e+01   5.99409e-01   3.73730e-04  -3.70891e-01
-   3  sg_p2        5.99868e+02   1.60399e+00   3.75403e-04   3.37969e-01
-   4  sg_p3        3.53013e+01   2.28660e+00   4.01111e-04  -6.16657e-01
-   5  sg_p4        7.72033e-01   4.60130e-02   4.40057e-04  -5.46595e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.871e-01 -1.064e-01 -1.024e-01 -4.539e-01 -9.063e-03 
- -1.064e-01  3.595e-01 -3.824e-01  1.036e+00  2.483e-02 
- -1.024e-01 -3.824e-01  2.573e+00 -1.376e+00 -3.459e-02 
- -4.539e-01  1.036e+00 -1.376e+00  5.232e+00  9.734e-02 
- -9.063e-03  2.483e-02 -3.459e-02  9.734e-02  2.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60467   1.000 -0.410 -0.148 -0.459 -0.445
-        2  0.88572  -0.410  1.000 -0.398  0.756  0.880
-        3  0.60420  -0.148 -0.398  1.000 -0.375 -0.458
-        4  0.91066  -0.459  0.756 -0.375  1.000  0.904
-        5  0.95622  -0.445  0.880 -0.458  0.904  1.000
-600
-606.503 +- 0.432589
-17.5196 +- 0.599409
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 81 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 606.507 +- 0.449294 (stat) - 1.38396 + 1.4085 (syst); -1.40207/+1.4263 (total)
-   Uncertainty on sg_p1 = 17.4848 +- 0.623965 (stat) - 0.300472 + 0.248681 (syst); -0.433147/+0.398968 (total)
-   Uncertainty on sg_p2 = 599.858 +- 1.64758 (stat) - 0.389024 + 1.02722 (syst); -0.911028/+1.31674 (total)
-   Uncertainty on sg_p3 = 35.1205 +- 2.33871 (stat) - 1.20153 + 1.04536 (syst); -1.67663/+1.56849 (total)
-   Uncertainty on sg_p4 = 0.769875 +- 0.048015 (stat) - 0.0451018 + 0.0173244 (syst); -0.0510934/+0.0296057 (total) 
-   === Baseline plot === </br>
-   norm = 1712.99
-JEC     lnN   1.00275  -
-JER     lnN   1.01626  -
-btag    lnN   1.06714  -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out
deleted file mode 100644
index c6fa438..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:15, CP time 15.110
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 1.55156e-09  -1.55156e-09/+0.00917889  (68% CL)
-nll S+B -> -3.21155  nll B -> -0.000682028
-Done in 0.26 min (cpu), 0.26 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out
deleted file mode 100644
index 11225ee..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.019235:	q_mu = 3.79853	q_A  = 3.79777	CLsb = 0.02565	CLb  = 0.49992	CLs  = 0.05131
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0192
-Expected  2.5%: r < 0.0206
-Expected 16.0%: r < 0.0225
-Expected 50.0%: r < 0.0269
-Expected 84.0%: r < 0.0350
-Expected 97.5%: r < 0.0456
-
-Done in 2.52 min (cpu), 2.52 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 118332d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt
deleted file mode 100644
index 0165633..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt
+++ /dev/null
@@ -1,31 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1859.61 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06919    -
-JER       lnN     1.01327   - 
-JEC       lnN     1.0047   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02353914841   -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/pdf.log
deleted file mode 100644
index aa6e6c7..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=15.5092 FROM MIGRAD    STATUS=CONVERGED      78 CALLS          79 TOTAL
-                     EDM=7.02832e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.26172e+01   1.73351e+00   2.72316e-03  -7.30163e-05
-   2  Mean         1.00012e+00   3.19011e-03   6.31280e-06   1.69814e-02
-   3  Sigma        2.35391e-02   3.03053e-03   7.58042e-05  -1.28772e-03
-1.00012141421 +/- 0.00319010963973
-0.0235391484052 +/- 0.00303053171895
-PDF lnN 1.02353914841
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/signal650_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/signal650_sig.log
deleted file mode 100644
index 1f5e75e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_crystal_1_285_624/signal650_sig.log
+++ /dev/null
@@ -1,883 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13508.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.87056e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.46321e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.56470e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.42658e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.11139e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM MIGRAD    STATUS=CONVERGED     597 CALLS         598 TOTAL
-                     EDM=4.72558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.31550e+02   1.07438e+00   1.68730e-03  -2.23582e-01
-   2  sg_p1        3.53137e+01   1.11870e+00   4.47963e-03   6.27366e-02
-   3  sg_p2        5.77635e+02   4.62466e+01   1.24400e-02   1.02159e-02
-   4  sg_p3        6.47572e+01   2.35273e+01   1.70525e-02  -3.15130e-03
-   5  sg_p4        9.66896e-01   3.39852e-02   6.34455e-03  -3.92355e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.155e+00 -4.604e-01 -1.111e+01  1.243e+01 -1.676e-02 
- -4.604e-01  1.255e+00  2.645e+01 -9.584e+00  2.747e-02 
- -1.111e+01  2.645e+01  2.484e+03  4.016e+02  1.548e+00 
-  1.243e+01 -9.584e+00  4.016e+02  5.848e+02 -3.604e-02 
- -1.676e-02  2.747e-02  1.548e+00 -3.604e-02  1.209e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66627   1.000 -0.382 -0.207  0.478 -0.449
-        2  0.79846  -0.382  1.000  0.474 -0.354  0.705
-        3  0.96990  -0.207  0.474  1.000  0.333  0.893
-        4  0.84189   0.478 -0.354  0.333  1.000 -0.043
-        5  0.97425  -0.449  0.705  0.893 -0.043  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM HESSE     STATUS=OK             31 CALLS         629 TOTAL
-                     EDM=4.61535e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.31550e+02   1.06668e+00   3.37461e-04   6.31053e-01
-   2  sg_p1        3.53137e+01   1.12240e+00   1.79185e-04   7.98026e-01
-   3  sg_p2        5.77635e+02   4.57102e+01   2.48799e-03   3.10645e+00
-   4  sg_p3        6.47572e+01   2.27278e+01   6.82099e-04   3.22908e+00
-   5  sg_p4        9.66896e-01   3.40601e-02   1.26891e-03   8.93554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.138e+00 -4.570e-01 -1.213e+01  1.173e+01 -1.703e-02 
- -4.570e-01  1.264e+00  2.725e+01 -9.434e+00  2.793e-02 
- -1.213e+01  2.725e+01  2.417e+03  3.349e+02  1.539e+00 
-  1.173e+01 -9.434e+00  3.349e+02  5.436e+02 -5.744e-02 
- -1.703e-02  2.793e-02  1.539e+00 -5.744e-02  1.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66019   1.000 -0.381 -0.231  0.472 -0.458
-        2  0.79995  -0.381  1.000  0.493 -0.360  0.713
-        3  0.96905  -0.231  0.493  1.000  0.292  0.898
-        4  0.82847   0.472 -0.360  0.292  1.000 -0.071
-        5  0.97437  -0.458  0.713  0.898 -0.071  1.000
-650
-631.55 +- 1.06668
-35.3137 +- 1.1224
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13608.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -3.05846e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.60421e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -6.11096e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.92754e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.53615e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM MIGRAD    STATUS=CONVERGED     366 CALLS         367 TOTAL
-                     EDM=4.73777e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.34937e+02   1.20416e+00   1.88745e-03   1.06307e-02
-   2  sg_p1        3.54255e+01   1.33397e+00   4.75405e-03  -6.42739e-03
-   3  sg_p2        5.82190e+02   3.67116e+01   1.00364e-02   4.55135e-03
-   4  sg_p3        6.30056e+01   1.66588e+01   1.25710e-02   4.37361e-03
-   5  sg_p4        9.54564e-01   4.17481e-02   6.34242e-03   8.71212e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.451e+00 -7.734e-01 -1.793e+01 -1.063e+01 -3.042e-02 
- -7.734e-01  1.788e+00  3.000e+01  1.060e+01  4.484e-02 
- -1.793e+01  3.000e+01  1.473e+03 -4.482e+01  1.490e+00 
- -1.063e+01  1.060e+01 -4.482e+01  2.851e+02  1.993e-01 
- -3.042e-02  4.484e-02  1.490e+00  1.993e-01  1.838e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.72232   1.000 -0.480 -0.388 -0.523 -0.589
-        2  0.84648  -0.480  1.000  0.585  0.469  0.782
-        3  0.96726  -0.388  0.585  1.000 -0.069  0.905
-        4  0.81721  -0.523  0.469 -0.069  1.000  0.275
-        5  0.97806  -0.589  0.782  0.905  0.275  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM HESSE     STATUS=OK             31 CALLS         398 TOTAL
-                     EDM=4.49878e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.34937e+02   1.17331e+00   7.54981e-05   7.27855e-01
-   2  sg_p1        3.54255e+01   1.28807e+00   1.90162e-04   8.07781e-01
-   3  sg_p2        5.82190e+02   3.82291e+01   2.00727e-03   3.04558e+00
-   4  sg_p3        6.30056e+01   1.76697e+01   5.02840e-04  -1.16840e-01
-   5  sg_p4        9.54564e-01   4.07959e-02   2.53697e-04   7.71340e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.377e+00 -6.709e-01 -1.351e+01 -1.025e+01 -2.563e-02 
- -6.709e-01  1.666e+00  2.684e+01  9.073e+00  4.040e-02 
- -1.351e+01  2.684e+01  1.611e+03 -1.944e+02  1.503e+00 
- -1.025e+01  9.073e+00 -1.944e+02  3.218e+02  7.926e-02 
- -2.563e-02  4.040e-02  1.503e+00  7.926e-02  1.751e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.70445   1.000 -0.443 -0.287 -0.487 -0.522
-        2  0.83419  -0.443  1.000  0.518  0.392  0.748
-        3  0.97010  -0.287  0.518  1.000 -0.270  0.895
-        4  0.84000  -0.487  0.392 -0.270  1.000  0.106
-        5  0.97695  -0.522  0.748  0.895  0.106  1.000
-650
-634.937 +- 1.17331
-35.4255 +- 1.28807
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13336.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.61029e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.30706e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -4.94508e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -2.82439e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   1.69237e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.26189 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -3.9054e-01  1.0008e+00  1.0126e+00  1.3098e+00  2.0673e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.392608 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM MIGRAD    STATUS=CONVERGED     434 CALLS         435 TOTAL
-                     EDM=9.27116e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.29363e+02   1.94289e+00   1.61110e-03  -6.12714e-02
-   2  sg_p1        3.39915e+01   1.39941e+00   4.02767e-03   1.41131e-02
-   3  sg_p2        5.86998e+02   3.80498e+01   5.91384e-03   1.10012e-02
-   4  sg_p3        4.52433e+01   9.31868e+00   5.76920e-03   6.15069e-03
-   5  sg_p4        9.32822e-01   8.73169e-02   7.58377e-03  -1.49983e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.778e+00 -2.106e+00 -5.004e+01 -2.088e+00 -1.541e-01 
- -2.106e+00  1.966e+00  3.539e+01  6.357e-01  1.083e-01 
- -5.004e+01  3.539e+01  1.597e+03 -2.131e+02  3.640e+00 
- -2.088e+00  6.357e-01 -2.131e+02  8.769e+01 -2.781e-01 
- -1.541e-01  1.083e-01  3.640e+00 -2.781e-01  9.342e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91269   1.000 -0.773 -0.644 -0.115 -0.820
-        2  0.87908  -0.773  1.000  0.631  0.048  0.799
-        3  0.98973  -0.644  0.631  1.000 -0.569  0.942
-        4  0.89773  -0.115  0.048 -0.569  1.000 -0.307
-        5  0.99185  -0.820  0.799  0.942 -0.307  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM HESSE     STATUS=OK             31 CALLS         466 TOTAL
-                     EDM=1.05015e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.29363e+02   1.77740e+00   3.22219e-04   5.72091e-01
-   2  sg_p1        3.39915e+01   1.30671e+00   1.61107e-04   6.89109e-01
-   3  sg_p2        5.86998e+02   4.00071e+01   2.36554e-04   2.98093e+00
-   4  sg_p3        4.52433e+01   1.08302e+01   2.30768e-04  -4.25319e-01
-   5  sg_p4        9.32822e-01   8.54732e-02   1.51675e-03   5.84938e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.161e+00 -1.710e+00 -4.134e+01 -1.168e+00 -1.264e-01 
- -1.710e+00  1.714e+00  3.071e+01 -2.615e-01  9.187e-02 
- -4.134e+01  3.071e+01  1.786e+03 -3.269e+02  3.736e+00 
- -1.168e+00 -2.615e-01 -3.269e+02  1.189e+02 -4.766e-01 
- -1.264e-01  9.187e-02  3.736e+00 -4.766e-01  8.856e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.89467   1.000 -0.735 -0.550 -0.060 -0.756
-        2  0.85981  -0.735  1.000  0.555 -0.018  0.746
-        3  0.99083  -0.550  0.555  1.000 -0.709  0.939
-        4  0.92564  -0.060 -0.018 -0.709  1.000 -0.465
-        5  0.99140  -0.756  0.746  0.939 -0.465  1.000
-650
-629.363 +- 1.7774
-33.9915 +- 1.30671
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11100.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49976e+02   9.00000e+00   0.00000e+00  -3.31148e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.41635e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.52712e-01
-   4  sg_p3        4.45955e+01   1.20000e+01  -4.37204e-01  -1.45659e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.61763e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.42251e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.89844e-02   2.11173e-03** at limit **
-   2  sg_p1        2.19547e+01   6.26260e-01   1.90248e-03  -1.39894e-01
-   3  sg_p2        6.50000e+02   1.12485e+00   1.24593e-02** at limit **
-   4  sg_p3        5.35044e+01   7.53715e+00   5.15003e-03  -5.48748e-02
-   5  sg_p4        9.02474e-01   3.44307e-02   8.35217e-03   4.98005e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  1.398e-08 -1.474e-12 -5.092e-09  1.406e-10 
-  1.398e-08  3.924e-01  9.759e-05  2.732e+00  1.581e-02 
- -1.474e-12  9.759e-05  5.173e-05  1.252e-03  7.811e-06 
- -5.092e-09  2.732e+00  1.252e-03  5.713e+01  2.196e-01 
-  1.406e-10  1.581e-02  7.811e-06  2.196e-01  1.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00112   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72732   0.001  1.000  0.022  0.577  0.725
-        3  0.03176  -0.000  0.022  1.000  0.023  0.031
-        4  0.83627  -0.000  0.577  0.023  1.000  0.835
-        5  0.88688   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.36793e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.89845e-02   4.22346e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19547e+01   6.28139e-01   3.80496e-04  -9.37931e-02
-   3  sg_p2        6.50000e+02   1.12399e+00   2.49187e-03   1.57135e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.35044e+01   7.59176e+00   2.06001e-04  -2.78513e-01
-   5  sg_p4        9.02474e-01   3.46722e-02   1.67043e-03   3.57388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  2.583e-09 -7.268e-14 -1.074e-09  2.545e-11 
-  2.583e-09  3.948e-01  2.619e-05  2.775e+00  1.601e-02 
- -7.268e-14  2.619e-05  5.169e-05  3.372e-04  2.097e-06 
- -1.074e-09  2.775e+00  3.372e-04  5.797e+01  2.235e-01 
-  2.545e-11  1.601e-02  2.097e-06  2.235e-01  1.227e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72925   0.000  1.000  0.006  0.580  0.727
-        3  0.00847  -0.000  0.006  1.000  0.006  0.008
-        4  0.83884  -0.000  0.580  0.006  1.000  0.838
-        5  0.88859   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0189845
-21.9547 +- 0.628139
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10989.9 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49981e+02   9.00000e+00   0.00000e+00  -3.26253e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.05547e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00** at limit **
-   4  sg_p3        4.52220e+01   1.20000e+01  -4.25709e-01  -2.16544e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.30632e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=6.98216e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.75977e-02   2.02403e-03** at limit **
-   2  sg_p1        2.24968e+01   6.83255e-01   1.97163e-03  -2.42215e-01
-   3  sg_p2        6.50000e+02   1.00518e+00   1.16864e-02** at limit **
-   4  sg_p3        5.38609e+01   8.09997e+00   5.22641e-03  -7.25959e-02
-   5  sg_p4        9.04199e-01   3.73923e-02   8.57345e-03   6.68076e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  9.099e-09 -3.513e-14 -1.065e-10  1.081e-10 
-  9.099e-09  4.671e-01  8.095e-06  3.376e+00  1.946e-02 
- -3.513e-14  8.095e-06  3.071e-07  1.055e-04  6.207e-07 
- -1.065e-10  3.376e+00  1.055e-04  6.604e+01  2.615e-01 
-  1.081e-10  1.946e-02  6.207e-07  2.615e-01  1.433e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75475   0.001  1.000  0.021  0.608  0.752
-        3  0.02982  -0.000  0.021  1.000  0.023  0.030
-        4  0.85148  -0.000  0.608  0.023  1.000  0.850
-        5  0.90043   0.000  0.752  0.030  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM HESSE     STATUS=OK             31 CALLS         220 TOTAL
-                     EDM=6.97303e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.75977e-02   4.04806e-04   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.24968e+01   6.85707e-01   3.94326e-04  -6.08350e-02
-   3  sg_p2        6.50000e+02   1.00444e+00   2.33727e-03   1.57075e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38609e+01   8.16623e+00   2.09056e-04  -2.72339e-01
-   5  sg_p4        9.04199e-01   3.76884e-02   1.71469e-03   3.69689e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  1.898e-09 -1.580e-15 -1.792e-10  2.195e-11 
-  1.898e-09  4.705e-01  1.591e-06  3.436e+00  1.974e-02 
- -1.580e-15  1.591e-06  3.069e-07  2.082e-05  1.221e-07 
- -1.792e-10  3.436e+00  2.082e-05  6.714e+01  2.666e-01 
-  2.195e-11  1.974e-02  1.221e-07  2.666e-01  1.456e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00025   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75678   0.000  1.000  0.004  0.611  0.754
-        3  0.00582  -0.000  0.004  1.000  0.005  0.006
-        4  0.85409  -0.000  0.611  0.005  1.000  0.853
-        5  0.90212   0.000  0.754  0.006  0.853  1.000
-650
-650 +- 0.0175977
-22.4968 +- 0.685707
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11116.3 FROM MIGRAD    STATUS=INITIATE       85 CALLS          86 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49937e+02   9.00000e+00   0.00000e+00  -4.29903e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.78823e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00   1.70769e-01
-   4  sg_p3        4.20694e+01   1.20000e+01  -4.84211e-01   8.96725e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.70161e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=6.95645e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.30525e-02   2.32852e-03** at limit **
-   2  sg_p1        2.06141e+01   7.27095e-01   1.91751e-03  -1.78455e-02
-   3  sg_p2        6.50000e+02   5.67699e-01   8.96583e-03** at limit **
-   4  sg_p3        4.38408e+01   4.74866e+00   3.33807e-03   1.68221e-02
-   5  sg_p4        8.43914e-01   5.09939e-02   1.01808e-02   4.65599e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  1.526e-08 -3.653e-13 -1.193e-07 -8.752e-10 
-  1.526e-08  5.290e-01  4.594e-06  2.209e+00  3.042e-02 
- -3.653e-13  4.594e-06  1.090e-07  2.852e-05  4.142e-07 
- -1.193e-07  2.209e+00  2.852e-05  2.261e+01  2.103e-01 
- -8.752e-10  3.042e-02  4.142e-07  2.103e-01  2.707e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00135   1.000  0.000 -0.000 -0.001 -0.000
-        2  0.80823   0.000  1.000  0.019  0.639  0.804
-        3  0.02454  -0.000  0.019  1.000  0.018  0.024
-        4  0.85317  -0.001  0.639  0.018  1.000  0.850
-        5  0.91509  -0.000  0.804  0.024  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=6.98393e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.30527e-02   4.65704e-04   1.57083e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.06141e+01   7.25563e-01   7.67004e-05  -1.75808e-01
-   3  sg_p2        6.50000e+02   5.67438e-01   1.79317e-03   1.57076e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        4.38408e+01   4.74709e+00   1.33523e-04  -4.51134e-01
-   5  sg_p4        8.43914e-01   5.09413e-02   4.07231e-04  -4.05850e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  3.367e-09 -1.567e-14 -2.669e-08 -1.963e-10 
-  3.367e-09  5.268e-01  8.847e-07  2.198e+00  3.029e-02 
- -1.567e-14  8.847e-07  1.089e-07  5.498e-06  7.992e-08 
- -2.669e-08  2.198e+00  5.498e-06  2.259e+01  2.099e-01 
- -1.963e-10  3.029e-02  7.992e-08  2.099e-01  2.702e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00030   1.000  0.000 -0.000 -0.000 -0.000
-        2  0.80732   0.000  1.000  0.004  0.637  0.803
-        3  0.00474  -0.000  0.004  1.000  0.004  0.005
-        4  0.85306  -0.000  0.637  0.004  1.000  0.850
-        5  0.91490  -0.000  0.803  0.005  0.850  1.000
-650
-650 +- 0.0230527
-20.6141 +- 0.725563
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10944.8 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49942e+02   9.00000e+00   0.00000e+00  -4.99582e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.21408e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.15963e-01
-   4  sg_p3        4.09782e+01   1.20000e+01  -5.04874e-01  -3.48354e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -7.37019e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.73549e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.97234e-02   2.13705e-03** at limit **
-   2  sg_p1        2.20280e+01   6.30629e-01   1.91154e-03   1.91770e-02
-   3  sg_p2        6.50000e+02   1.15642e+00   1.26706e-02** at limit **
-   4  sg_p3        5.38442e+01   7.62585e+00   5.23371e-03  -3.81562e-02
-   5  sg_p4        9.01968e-01   3.44467e-02   8.30135e-03   1.18530e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  5.762e-08 -8.280e-13 -3.348e-08  5.240e-10 
-  5.762e-08  3.979e-01  1.192e-05  2.762e+00  1.584e-02 
- -8.280e-13  1.192e-05  8.864e-07  1.536e-04  9.534e-07 
- -3.348e-08  2.762e+00  1.536e-04  5.849e+01  2.220e-01 
-  5.240e-10  1.584e-02  9.534e-07  2.220e-01  1.211e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00104   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72341   0.001  1.000  0.020  0.573  0.721
-        3  0.02963  -0.000  0.020  1.000  0.021  0.029
-        4  0.83506  -0.000  0.573  0.021  1.000  0.834
-        5  0.88553   0.000  0.721  0.029  0.834  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM HESSE     STATUS=OK             31 CALLS         231 TOTAL
-                     EDM=1.74019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.97235e-02   4.27410e-04   1.57071e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.20280e+01   6.32975e-01   7.64616e-05  -8.93298e-02
-   3  sg_p2        6.50000e+02   1.15565e+00   2.53411e-03   1.57087e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38442e+01   7.69157e+00   2.09349e-04  -2.72628e-01
-   5  sg_p4        9.01968e-01   3.47361e-02   3.32054e-04   3.53784e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  7.480e-09 -2.394e-14 -4.978e-09  6.545e-11 
-  7.480e-09  4.009e-01  2.527e-06  2.817e+00  1.609e-02 
- -2.394e-14  2.527e-06  8.858e-07  3.272e-05  2.022e-07 
- -4.978e-09  2.817e+00  3.272e-05  5.951e+01  2.267e-01 
-  6.545e-11  1.609e-02  2.022e-07  2.267e-01  1.232e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00014   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72585   0.000  1.000  0.004  0.577  0.724
-        3  0.00624  -0.000  0.004  1.000  0.005  0.006
-        4  0.83815  -0.000  0.577  0.005  1.000  0.837
-        5  0.88759   0.000  0.724  0.006  0.837  1.000
-650
-650 +- 0.0197235
-22.028 +- 0.632975
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11266.8 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49945e+02   9.00000e+00   0.00000e+00  -5.09816e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.59572e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00  -1.69501e-01
-   4  sg_p3        4.29297e+01   1.20000e+01  -4.68077e-01  -5.58269e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.53081e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM MIGRAD    STATUS=CONVERGED     192 CALLS         193 TOTAL
-                     EDM=6.51945e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.82842e-02   2.08842e-03** at limit **
-   2  sg_p1        2.14609e+01   6.40975e-01   1.89354e-03  -6.53789e-02
-   3  sg_p2        6.50000e+02   8.30067e-01   1.08933e-02** at limit **
-   4  sg_p3        5.04392e+01   6.38127e+00   4.50073e-03  -1.04974e-02
-   5  sg_p4        8.87574e-01   3.78194e-02   8.69382e-03   5.77855e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  7.879e-10 -3.359e-14 -1.419e-09  2.261e-12 
-  7.879e-10  4.111e-01  2.684e-05  2.430e+00  1.837e-02 
- -3.359e-14  2.684e-05  4.386e-06  2.767e-04  2.208e-06 
- -1.419e-09  2.430e+00  2.767e-04  4.089e+01  2.045e-01 
-  2.261e-12  1.837e-02  2.208e-06  2.045e-01  1.464e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75133   0.001  1.000  0.020  0.593  0.749
-        3  0.02792  -0.000  0.020  1.000  0.021  0.028
-        4  0.83716  -0.000  0.593  0.021  1.000  0.836
-        5  0.89303   0.000  0.749  0.028  0.836  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM HESSE     STATUS=OK             31 CALLS         224 TOTAL
-                     EDM=6.57565e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.82843e-02   4.17684e-04   1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.14609e+01   6.41983e-01   3.78708e-04  -1.23899e-01
-   3  sg_p2        6.50000e+02   8.29559e-01   2.17866e-03   1.57098e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.04392e+01   6.41541e+00   1.80029e-04  -3.32084e-01
-   5  sg_p4        8.87574e-01   3.80027e-02   3.47753e-04   2.53193e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  1.574e-10 -1.584e-15 -3.026e-10  3.527e-13 
-  1.574e-10  4.124e-01  6.128e-06  2.455e+00  1.851e-02 
- -1.584e-15  6.128e-06  4.383e-06  6.343e-05  5.049e-07 
- -3.026e-10  2.455e+00  6.343e-05  4.133e+01  2.070e-01 
-  3.527e-13  1.851e-02  5.049e-07  2.070e-01  1.478e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00024   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75224   0.000  1.000  0.005  0.595  0.750
-        3  0.00636  -0.000  0.005  1.000  0.005  0.006
-        4  0.83906  -0.000  0.595  0.005  1.000  0.838
-        5  0.89415   0.000  0.750  0.006  0.838  1.000
-650
-650 +- 0.0182843
-21.4609 +- 0.641983
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10353.9 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49972e+02   9.00000e+00   0.00000e+00  -3.38302e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.33664e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.20039e-01
-   4  sg_p3        4.45271e+01   1.20000e+01  -4.38463e-01  -2.07423e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.51988e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=3.70488e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.03479e-02   2.11149e-03** at limit **
-   2  sg_p1        2.19227e+01   6.48242e-01   1.90022e-03  -1.27252e-01
-   3  sg_p2        6.50000e+02   1.19398e+00   1.24007e-02** at limit **
-   4  sg_p3        5.33695e+01   7.75365e+00   5.12507e-03  -4.78312e-02
-   5  sg_p4        9.02088e-01   3.57133e-02   8.36019e-03   4.34979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.014e-08 -1.058e-12 -4.315e-09  9.944e-11 
-  1.014e-08  4.204e-01  1.012e-04  2.912e+00  1.700e-02 
- -1.058e-12  1.012e-04  5.221e-05  1.288e-03  8.107e-06 
- -4.315e-09  2.912e+00  1.288e-03  6.049e+01  2.345e-01 
-  9.944e-11  1.700e-02  8.107e-06  2.345e-01  1.304e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72806   0.001  1.000  0.022  0.577  0.726
-        3  0.03161  -0.000  0.022  1.000  0.023  0.031
-        4  0.83617  -0.000  0.577  0.023  1.000  0.835
-        5  0.88699   0.000  0.726  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=3.65925e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.03480e-02   4.22297e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19227e+01   6.50158e-01   3.80043e-04  -9.57392e-02
-   3  sg_p2        6.50000e+02   1.19307e+00   2.48014e-03   1.57134e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.33695e+01   7.80905e+00   2.05003e-04  -2.80852e-01
-   5  sg_p4        9.02088e-01   3.59600e-02   1.67204e-03   3.54640e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.922e-09 -5.339e-14 -9.335e-10  1.841e-11 
-  1.922e-09  4.229e-01  2.702e-05  2.958e+00  1.722e-02 
- -5.339e-14  2.702e-05  5.217e-05  3.453e-04  2.166e-06 
- -9.335e-10  2.958e+00  3.453e-04  6.136e+01  2.386e-01 
-  1.841e-11  1.722e-02  2.166e-06  2.386e-01  1.322e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00022   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72996   0.000  1.000  0.006  0.581  0.728
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83871  -0.000  0.581  0.006  1.000  0.838
-        5  0.88867   0.000  0.728  0.008  0.838  1.000
-650
-650 +- 0.020348
-21.9227 +- 0.650158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11888.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49914e+02   9.00000e+00   0.00000e+00  -6.82601e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.48309e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.99059e-01
-   4  sg_p3        4.46355e+01   1.20000e+01  -4.36469e-01  -2.16258e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.69494e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.23148e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.77338e-02   2.11221e-03** at limit **
-   2  sg_p1        2.19855e+01   6.05458e-01   1.90519e-03  -1.38620e-01
-   3  sg_p2        6.50000e+02   1.06015e+00   1.25262e-02** at limit **
-   4  sg_p3        5.36334e+01   7.33056e+00   5.16765e-03  -5.62178e-02
-   5  sg_p4        9.02830e-01   3.32252e-02   8.34638e-03   5.03701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  1.247e-08 -1.236e-12 -3.833e-09  1.281e-10 
-  1.247e-08  3.667e-01  8.771e-05  2.567e+00  1.472e-02 
- -1.236e-12  8.771e-05  4.483e-05  1.134e-03  7.012e-06 
- -3.833e-09  2.567e+00  1.134e-03  5.403e+01  2.060e-01 
-  1.281e-10  1.472e-02  7.012e-06  2.060e-01  1.125e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72667   0.001  1.000  0.022  0.577  0.725
-        3  0.03177  -0.000  0.022  1.000  0.023  0.031
-        4  0.83644  -0.000  0.577  0.023  1.000  0.835
-        5  0.88683   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.17857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.77339e-02   4.22443e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19855e+01   6.07305e-01   3.81037e-04  -9.19155e-02
-   3  sg_p2        6.50000e+02   1.05933e+00   2.50525e-03   1.57133e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.36334e+01   7.38443e+00   2.06706e-04  -2.76278e-01
-   5  sg_p4        9.02830e-01   3.34620e-02   1.66928e-03   3.59921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  2.310e-09 -6.277e-14 -8.650e-10  2.316e-11 
-  2.310e-09  3.690e-01  2.329e-05  2.608e+00  1.491e-02 
- -6.277e-14  2.329e-05  4.479e-05  3.022e-04  1.863e-06 
- -8.650e-10  2.608e+00  3.022e-04  5.483e+01  2.097e-01 
-  2.316e-11  1.491e-02  1.863e-06  2.097e-01  1.142e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72864   0.000  1.000  0.006  0.580  0.727
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83905  -0.000  0.580  0.006  1.000  0.838
-        5  0.88856   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0177339
-21.9855 +- 0.607305
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 17 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 18 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 20 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 21 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 22 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 26 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 35 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 41 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 650 +- 0.0189845 (stat) - 1.56965e-07 + 8.69034e-09 (syst); -0.00949226/+0.00949226 (total)
-   Uncertainty on sg_p1 = 21.9547 +- 0.628139 (stat) - 1.34059 + 0.54216 (syst); -1.37689/+0.62656 (total)
-   Uncertainty on sg_p2 = 650 +- 1.12399 (stat) - 0 + 1.14208e-05 (syst); -0.561993/+0.561993 (total)
-   Uncertainty on sg_p3 = 53.5044 +- 7.59176 (stat) - 9.66364 + 0.356475 (syst); -10.3824/+3.81258 (total)
-   Uncertainty on sg_p4 = 0.902474 +- 0.0346722 (stat) - 0.0585604 + 0.00172451 (syst); -0.0610726/+0.0174217 (total) 
-   === Baseline plot === </br>
-   norm = 1859.61
-JEC     lnN   1.0047  -
-JER     lnN   1.01327  -
-btag    lnN   1.06919  -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out
deleted file mode 100644
index 3b302ea..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 6.12177e-13  -6.12177e-13/+0.00935157  (68% CL)
-nll S+B -> -0.00663112  nll B -> -0.00663056
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out
deleted file mode 100644
index da3ab12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.019320:	q_mu = 3.79227	q_A  = 3.78828	CLsb = 0.02574	CLb  = 0.49959	CLs  = 0.05153
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0193
-Expected  2.5%: r < 0.0098
-Expected 16.0%: r < 0.0136
-Expected 50.0%: r < 0.0190
-Expected 84.0%: r < 0.0285
-Expected 97.5%: r < 0.0400
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/data_bkg.log
deleted file mode 100644
index 3cc1900..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,750 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [252,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62921.6 FROM MIGRAD    STATUS=INITIATE       90 CALLS          91 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.21879e-02   5.09000e-01   0.00000e+00  -9.80911e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -1.28354e+01
-   3  par_crystal_2   2.65669e+02   4.00000e+00   0.00000e+00   3.55320e+02
-   4  par_crystal_3   1.06488e+01   2.70000e+00  -4.48284e-01  -2.33576e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62883.4 FROM HESSE     STATUS=OK             29 CALLS         257 TOTAL
-                     EDM=4.91113    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.66060e-01   4.16121e-03   3.52377e-04  -4.74293e+00
-   2  par_crystal_1   4.45375e+00   2.73731e+00   1.77223e-01   2.66184e-01
-   3  par_crystal_2   2.67385e+02   2.04373e-01   8.29600e-04   2.81454e+02
-   4  par_crystal_3   1.36851e+01   5.38888e-01   1.69331e-03  -1.62103e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=62883.3 FROM MIGRAD    STATUS=FAILED        358 CALLS         359 TOTAL
-                     EDM=0.00753244    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.65093e-01   8.39913e-03   1.31861e-03   5.42788e+00
-   2  par_crystal_1   5.09910e+00   4.33634e+00   3.39194e-01  -6.59950e-03
-   3  par_crystal_2   2.67339e+02   1.86486e-01   3.32550e-03  -8.58879e+00
-   4  par_crystal_3   1.37140e+01   6.01780e-01   6.34807e-03   1.69258e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.055e-05  1.617e-04  4.699e-04  2.892e-03 
-  1.617e-04  1.762e-02 -1.356e-04 -1.108e-03 
-  4.699e-04 -1.356e-04  3.478e-02  3.255e-02 
-  2.892e-03 -1.108e-03  3.255e-02  3.624e-01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60853   1.000  0.145  0.300  0.572
-        2  0.19009   0.145  1.000 -0.005 -0.014
-        3  0.33449   0.300 -0.005  1.000  0.290
-        4  0.59243   0.572 -0.014  0.290  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7660e-01  8.1807e-01  1.6519e+00  1.7066e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.178308 TO DIAGONAL.
- FCN=62883.3 FROM HESSE     STATUS=NOT POSDEF     33 CALLS         392 TOTAL
-                     EDM=3.36849    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.65093e-01   8.70034e-02   2.63722e-04  -1.21988e+00
-   2  par_crystal_1   5.09910e+00   4.18121e+00   5.00000e-01   1.54425e+00
-   3  par_crystal_2   2.67339e+02   5.27040e+00   9.57407e-02   3.75715e-01
-   4  par_crystal_3   1.37140e+01   6.68546e+00   2.53923e-04  -2.07863e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.595e-03 -2.994e-03  4.642e-01  6.089e-01 
- -2.994e-03  1.536e-02 -1.944e-01 -2.569e-01 
-  4.642e-01 -1.944e-01  2.855e+01  3.736e+01 
-  6.089e-01 -2.569e-01  3.736e+01  4.914e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99751   1.000 -0.277  0.997  0.997
-        2  0.37560  -0.277  1.000 -0.293 -0.296
-        3  0.99795   0.997 -0.293  1.000  0.997
-        4  0.99797   0.997 -0.296  0.997  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=62983.1 FROM MIGRAD    STATUS=INITIATE       29 CALLS          30 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   6.05383e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -1.33666e+02
-   3  par_gaus_exp_2   3.19008e-01   3.05000e-01  -9.67731e-01  -3.33619e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00383 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=4.4408e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.69095e+02   7.01852e-01   4.07755e-03   2.89794e-02
-   2  par_gaus_exp_1   1.61044e+01   1.09719e+00   7.43010e-03  -1.84784e-02
-   3  par_gaus_exp_2   1.90527e-01   1.58774e-02   1.98778e-03  -6.23432e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.929e-01  5.914e-01  9.067e-03 
-  5.914e-01  1.207e+00  1.483e-02 
-  9.067e-03  1.483e-02  2.521e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.82590   1.000  0.767  0.813
-        2  0.85979   0.767  1.000  0.850
-        3  0.88644   0.813  0.850  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=62882.7 FROM HESSE     STATUS=OK             16 CALLS         245 TOTAL
-                     EDM=4.28199e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.69095e+02   6.86832e-01   1.63102e-04  -5.76704e-01
-   2  par_gaus_exp_1   1.61044e+01   1.07335e+00   2.97204e-04  -5.72398e-01
-   3  par_gaus_exp_2   1.90527e-01   1.55212e-02   7.95110e-05  -1.13813e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  4.720e-01  5.579e-01  8.580e-03 
-  5.579e-01  1.155e+00  1.406e-02 
-  8.580e-03  1.406e-02  2.410e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.81734   1.000  0.756  0.805
-        2  0.85292   0.756  1.000  0.843
-        3  0.88081   0.805  0.843  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,624]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.3296
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.3296)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=286.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=289.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=295.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=298.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     p.d.f normalization integral is zero or negative @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=301.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.3296
-    ... (remaining 216 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.733611
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.733611)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=313.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=316.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=319.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=325.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=328.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=331.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=334.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=340.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=343.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=346.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.733611
-    ... (remaining 94 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (312278) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0733618
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0733618
-
- FCN=103426 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57146e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.55551e+03
-   3  par_novo_2  -1.33526e+00   2.00000e+01   0.00000e+00   1.53308e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM MIGRAD    STATUS=CONVERGED     126 CALLS         127 TOTAL
-                     EDM=1.07924e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.17697e+01   1.69443e-01** at limit **
-   2  par_novo_1   3.87878e+01   2.27475e+00   4.96100e-03  -6.14249e-02
-   3  par_novo_2  -1.26766e+00   7.00630e-02   3.67886e-05   3.77179e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.244e-10 -2.632e-07 -1.276e-07 
- -2.632e-07  5.190e+00  1.540e-01 
- -1.276e-07  1.540e-01  4.909e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.43392   1.000 -0.008 -0.122
-        2  0.97109  -0.008  1.000  0.965
-        3  0.97152  -0.122  0.965  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103192 FROM HESSE     STATUS=OK             20 CALLS         147 TOTAL
-                     EDM=1.23299e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.15107e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.87878e+01   2.30410e+00   1.98440e-04   4.51799e-01
-   3  par_novo_2  -1.26766e+00   7.13892e-02   1.47154e-06  -1.26769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  2.143e-10  3.996e-06 -2.087e-07 
-  3.996e-06  5.325e+00  1.518e-01 
- -2.087e-07  1.518e-01  5.096e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.80390   1.000  0.118 -0.200
-        2  0.97183   0.118  1.000  0.922
-        3  0.97258  -0.200  0.922  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107617 FROM MIGRAD    STATUS=INITIATE       36 CALLS          37 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   6.60405e+03
-   2  par_crystal_1_1   7.90153e-02   5.09000e-01  -1.80421e+00   3.05679e+03
-   3  par_crystal_1_2   2.60000e+02   4.00000e+00   0.00000e+00   1.48888e+03
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00   6.99071e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.17529 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.7903e-03  5.8606e-02  5.0897e-01  3.4352e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.006225 TO DIAGONAL.
- FCN=103191 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.7306e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.37913e-01   3.41139e-02   6.19492e-04   4.10204e-01
-   2  par_crystal_1_1   4.44737e+00   5.69760e-01   2.21494e-02   9.88736e-03
-   3  par_crystal_1_2   2.79979e+02   3.40482e+01   2.79535e-01  -2.97577e-04
-   4  par_crystal_1_3   1.87584e+01   2.98857e+00   3.96232e-03  -6.40797e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.164e-03  3.582e-03  3.594e-03  9.898e-02 
-  3.582e-03  3.375e-01 -1.052e-02  7.382e-01 
-  3.594e-03 -1.052e-02  3.148e+00  6.243e-01 
-  9.898e-02  7.382e-01  6.243e-01  9.086e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99630   1.000  0.181  0.059  0.962
-        2  0.95650   0.181  1.000 -0.010  0.422
-        3  0.63948   0.059 -0.010  1.000  0.117
-        4  0.99690   0.962  0.422  0.117  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103191 FROM HESSE     STATUS=OK             27 CALLS         381 TOTAL
-                     EDM=6.06842e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   2.37913e-01   2.12502e-01   1.23898e-04  -8.36786e+01
-   2  par_crystal_1_1   4.44737e+00   5.06952e-01   8.85975e-04  -1.65463e+01
-   3  par_crystal_1_2   2.79979e+02   2.96341e+01   5.00000e-01   7.80831e+00
-   4  par_crystal_1_3   1.87584e+01   1.90925e+01   1.58493e-04   2.18231e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.578e-02  1.663e-02  2.427e-02  3.730e+00 
-  1.663e-02  2.650e-01 -4.299e-02  1.684e+00 
-  2.427e-02 -4.299e-02  1.850e+00  2.341e+00 
-  3.730e+00  1.684e+00  2.341e+00  3.045e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99991   1.000  0.151  0.083  0.999
-        2  0.94385   0.151  1.000 -0.061  0.187
-        3  0.80384   0.083 -0.061  1.000  0.099
-        4  0.99991   0.999  0.187  0.099  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [252,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,624] --> [285,624]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 13889.7
- Background number of gaus_exp_252_330 = 13889.7
- Background number of novo_285_624 = 17637.2
- Background number of crystal_1_285_624 = 17637.2
- Background number of gaus_bern_285_624 = 17637.2
- Background number of landau_285_624 = 17637.2
-par_crystal_0   param   0.165093 0.0870034
-par_crystal_1   param   5.0991 4.18121
-par_crystal_2   param   267.339 5.2704
-par_crystal_3   param   13.714 6.68546
-par_crystal_1_0   param   0.237913 0.212502
-par_crystal_1_1   param   4.44737 0.506952
-par_crystal_1_2   param   279.979 29.6341
-par_crystal_1_3   param   18.7584 19.0925
-par_gaus_exp_0   param   269.095 0.686832
-par_gaus_exp_1   param   16.1044 1.07335
-par_gaus_exp_2   param   0.190527 0.0155212
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt
deleted file mode 100644
index 820050a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1859.61 17637.2
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06919    -
-JER       lnN     1.01327   - 
-JEC       lnN     1.0047   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02353914841   -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
-par_novo_0   param   250 31.5107
-par_novo_1   param   38.7878 2.3041
-par_novo_2   param   -1.26766 0.0713892
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/pdf.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/pdf.log
deleted file mode 100644
index aa6e6c7..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=15.5092 FROM MIGRAD    STATUS=CONVERGED      78 CALLS          79 TOTAL
-                     EDM=7.02832e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.26172e+01   1.73351e+00   2.72316e-03  -7.30163e-05
-   2  Mean         1.00012e+00   3.19011e-03   6.31280e-06   1.69814e-02
-   3  Sigma        2.35391e-02   3.03053e-03   7.58042e-05  -1.28772e-03
-1.00012141421 +/- 0.00319010963973
-0.0235391484052 +/- 0.00303053171895
-PDF lnN 1.02353914841
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/signal650_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/signal650_sig.log
deleted file mode 100644
index 1f5e75e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/3GeV/LMR_650_novo_285_624/signal650_sig.log
+++ /dev/null
@@ -1,883 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13508.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.87056e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.46321e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.56470e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.42658e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.11139e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM MIGRAD    STATUS=CONVERGED     597 CALLS         598 TOTAL
-                     EDM=4.72558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.31550e+02   1.07438e+00   1.68730e-03  -2.23582e-01
-   2  sg_p1        3.53137e+01   1.11870e+00   4.47963e-03   6.27366e-02
-   3  sg_p2        5.77635e+02   4.62466e+01   1.24400e-02   1.02159e-02
-   4  sg_p3        6.47572e+01   2.35273e+01   1.70525e-02  -3.15130e-03
-   5  sg_p4        9.66896e-01   3.39852e-02   6.34455e-03  -3.92355e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.155e+00 -4.604e-01 -1.111e+01  1.243e+01 -1.676e-02 
- -4.604e-01  1.255e+00  2.645e+01 -9.584e+00  2.747e-02 
- -1.111e+01  2.645e+01  2.484e+03  4.016e+02  1.548e+00 
-  1.243e+01 -9.584e+00  4.016e+02  5.848e+02 -3.604e-02 
- -1.676e-02  2.747e-02  1.548e+00 -3.604e-02  1.209e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66627   1.000 -0.382 -0.207  0.478 -0.449
-        2  0.79846  -0.382  1.000  0.474 -0.354  0.705
-        3  0.96990  -0.207  0.474  1.000  0.333  0.893
-        4  0.84189   0.478 -0.354  0.333  1.000 -0.043
-        5  0.97425  -0.449  0.705  0.893 -0.043  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM HESSE     STATUS=OK             31 CALLS         629 TOTAL
-                     EDM=4.61535e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.31550e+02   1.06668e+00   3.37461e-04   6.31053e-01
-   2  sg_p1        3.53137e+01   1.12240e+00   1.79185e-04   7.98026e-01
-   3  sg_p2        5.77635e+02   4.57102e+01   2.48799e-03   3.10645e+00
-   4  sg_p3        6.47572e+01   2.27278e+01   6.82099e-04   3.22908e+00
-   5  sg_p4        9.66896e-01   3.40601e-02   1.26891e-03   8.93554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.138e+00 -4.570e-01 -1.213e+01  1.173e+01 -1.703e-02 
- -4.570e-01  1.264e+00  2.725e+01 -9.434e+00  2.793e-02 
- -1.213e+01  2.725e+01  2.417e+03  3.349e+02  1.539e+00 
-  1.173e+01 -9.434e+00  3.349e+02  5.436e+02 -5.744e-02 
- -1.703e-02  2.793e-02  1.539e+00 -5.744e-02  1.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66019   1.000 -0.381 -0.231  0.472 -0.458
-        2  0.79995  -0.381  1.000  0.493 -0.360  0.713
-        3  0.96905  -0.231  0.493  1.000  0.292  0.898
-        4  0.82847   0.472 -0.360  0.292  1.000 -0.071
-        5  0.97437  -0.458  0.713  0.898 -0.071  1.000
-650
-631.55 +- 1.06668
-35.3137 +- 1.1224
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13608.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -3.05846e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.60421e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -6.11096e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.92754e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.53615e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM MIGRAD    STATUS=CONVERGED     366 CALLS         367 TOTAL
-                     EDM=4.73777e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.34937e+02   1.20416e+00   1.88745e-03   1.06307e-02
-   2  sg_p1        3.54255e+01   1.33397e+00   4.75405e-03  -6.42739e-03
-   3  sg_p2        5.82190e+02   3.67116e+01   1.00364e-02   4.55135e-03
-   4  sg_p3        6.30056e+01   1.66588e+01   1.25710e-02   4.37361e-03
-   5  sg_p4        9.54564e-01   4.17481e-02   6.34242e-03   8.71212e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.451e+00 -7.734e-01 -1.793e+01 -1.063e+01 -3.042e-02 
- -7.734e-01  1.788e+00  3.000e+01  1.060e+01  4.484e-02 
- -1.793e+01  3.000e+01  1.473e+03 -4.482e+01  1.490e+00 
- -1.063e+01  1.060e+01 -4.482e+01  2.851e+02  1.993e-01 
- -3.042e-02  4.484e-02  1.490e+00  1.993e-01  1.838e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.72232   1.000 -0.480 -0.388 -0.523 -0.589
-        2  0.84648  -0.480  1.000  0.585  0.469  0.782
-        3  0.96726  -0.388  0.585  1.000 -0.069  0.905
-        4  0.81721  -0.523  0.469 -0.069  1.000  0.275
-        5  0.97806  -0.589  0.782  0.905  0.275  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM HESSE     STATUS=OK             31 CALLS         398 TOTAL
-                     EDM=4.49878e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.34937e+02   1.17331e+00   7.54981e-05   7.27855e-01
-   2  sg_p1        3.54255e+01   1.28807e+00   1.90162e-04   8.07781e-01
-   3  sg_p2        5.82190e+02   3.82291e+01   2.00727e-03   3.04558e+00
-   4  sg_p3        6.30056e+01   1.76697e+01   5.02840e-04  -1.16840e-01
-   5  sg_p4        9.54564e-01   4.07959e-02   2.53697e-04   7.71340e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.377e+00 -6.709e-01 -1.351e+01 -1.025e+01 -2.563e-02 
- -6.709e-01  1.666e+00  2.684e+01  9.073e+00  4.040e-02 
- -1.351e+01  2.684e+01  1.611e+03 -1.944e+02  1.503e+00 
- -1.025e+01  9.073e+00 -1.944e+02  3.218e+02  7.926e-02 
- -2.563e-02  4.040e-02  1.503e+00  7.926e-02  1.751e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.70445   1.000 -0.443 -0.287 -0.487 -0.522
-        2  0.83419  -0.443  1.000  0.518  0.392  0.748
-        3  0.97010  -0.287  0.518  1.000 -0.270  0.895
-        4  0.84000  -0.487  0.392 -0.270  1.000  0.106
-        5  0.97695  -0.522  0.748  0.895  0.106  1.000
-650
-634.937 +- 1.17331
-35.4255 +- 1.28807
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13336.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.61029e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.30706e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -4.94508e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -2.82439e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   1.69237e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.26189 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -3.9054e-01  1.0008e+00  1.0126e+00  1.3098e+00  2.0673e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.392608 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM MIGRAD    STATUS=CONVERGED     434 CALLS         435 TOTAL
-                     EDM=9.27116e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.29363e+02   1.94289e+00   1.61110e-03  -6.12714e-02
-   2  sg_p1        3.39915e+01   1.39941e+00   4.02767e-03   1.41131e-02
-   3  sg_p2        5.86998e+02   3.80498e+01   5.91384e-03   1.10012e-02
-   4  sg_p3        4.52433e+01   9.31868e+00   5.76920e-03   6.15069e-03
-   5  sg_p4        9.32822e-01   8.73169e-02   7.58377e-03  -1.49983e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.778e+00 -2.106e+00 -5.004e+01 -2.088e+00 -1.541e-01 
- -2.106e+00  1.966e+00  3.539e+01  6.357e-01  1.083e-01 
- -5.004e+01  3.539e+01  1.597e+03 -2.131e+02  3.640e+00 
- -2.088e+00  6.357e-01 -2.131e+02  8.769e+01 -2.781e-01 
- -1.541e-01  1.083e-01  3.640e+00 -2.781e-01  9.342e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91269   1.000 -0.773 -0.644 -0.115 -0.820
-        2  0.87908  -0.773  1.000  0.631  0.048  0.799
-        3  0.98973  -0.644  0.631  1.000 -0.569  0.942
-        4  0.89773  -0.115  0.048 -0.569  1.000 -0.307
-        5  0.99185  -0.820  0.799  0.942 -0.307  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM HESSE     STATUS=OK             31 CALLS         466 TOTAL
-                     EDM=1.05015e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.29363e+02   1.77740e+00   3.22219e-04   5.72091e-01
-   2  sg_p1        3.39915e+01   1.30671e+00   1.61107e-04   6.89109e-01
-   3  sg_p2        5.86998e+02   4.00071e+01   2.36554e-04   2.98093e+00
-   4  sg_p3        4.52433e+01   1.08302e+01   2.30768e-04  -4.25319e-01
-   5  sg_p4        9.32822e-01   8.54732e-02   1.51675e-03   5.84938e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.161e+00 -1.710e+00 -4.134e+01 -1.168e+00 -1.264e-01 
- -1.710e+00  1.714e+00  3.071e+01 -2.615e-01  9.187e-02 
- -4.134e+01  3.071e+01  1.786e+03 -3.269e+02  3.736e+00 
- -1.168e+00 -2.615e-01 -3.269e+02  1.189e+02 -4.766e-01 
- -1.264e-01  9.187e-02  3.736e+00 -4.766e-01  8.856e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.89467   1.000 -0.735 -0.550 -0.060 -0.756
-        2  0.85981  -0.735  1.000  0.555 -0.018  0.746
-        3  0.99083  -0.550  0.555  1.000 -0.709  0.939
-        4  0.92564  -0.060 -0.018 -0.709  1.000 -0.465
-        5  0.99140  -0.756  0.746  0.939 -0.465  1.000
-650
-629.363 +- 1.7774
-33.9915 +- 1.30671
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11100.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49976e+02   9.00000e+00   0.00000e+00  -3.31148e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.41635e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.52712e-01
-   4  sg_p3        4.45955e+01   1.20000e+01  -4.37204e-01  -1.45659e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.61763e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.42251e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.89844e-02   2.11173e-03** at limit **
-   2  sg_p1        2.19547e+01   6.26260e-01   1.90248e-03  -1.39894e-01
-   3  sg_p2        6.50000e+02   1.12485e+00   1.24593e-02** at limit **
-   4  sg_p3        5.35044e+01   7.53715e+00   5.15003e-03  -5.48748e-02
-   5  sg_p4        9.02474e-01   3.44307e-02   8.35217e-03   4.98005e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  1.398e-08 -1.474e-12 -5.092e-09  1.406e-10 
-  1.398e-08  3.924e-01  9.759e-05  2.732e+00  1.581e-02 
- -1.474e-12  9.759e-05  5.173e-05  1.252e-03  7.811e-06 
- -5.092e-09  2.732e+00  1.252e-03  5.713e+01  2.196e-01 
-  1.406e-10  1.581e-02  7.811e-06  2.196e-01  1.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00112   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72732   0.001  1.000  0.022  0.577  0.725
-        3  0.03176  -0.000  0.022  1.000  0.023  0.031
-        4  0.83627  -0.000  0.577  0.023  1.000  0.835
-        5  0.88688   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.36793e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.89845e-02   4.22346e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19547e+01   6.28139e-01   3.80496e-04  -9.37931e-02
-   3  sg_p2        6.50000e+02   1.12399e+00   2.49187e-03   1.57135e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.35044e+01   7.59176e+00   2.06001e-04  -2.78513e-01
-   5  sg_p4        9.02474e-01   3.46722e-02   1.67043e-03   3.57388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  2.583e-09 -7.268e-14 -1.074e-09  2.545e-11 
-  2.583e-09  3.948e-01  2.619e-05  2.775e+00  1.601e-02 
- -7.268e-14  2.619e-05  5.169e-05  3.372e-04  2.097e-06 
- -1.074e-09  2.775e+00  3.372e-04  5.797e+01  2.235e-01 
-  2.545e-11  1.601e-02  2.097e-06  2.235e-01  1.227e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72925   0.000  1.000  0.006  0.580  0.727
-        3  0.00847  -0.000  0.006  1.000  0.006  0.008
-        4  0.83884  -0.000  0.580  0.006  1.000  0.838
-        5  0.88859   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0189845
-21.9547 +- 0.628139
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10989.9 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49981e+02   9.00000e+00   0.00000e+00  -3.26253e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.05547e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00** at limit **
-   4  sg_p3        4.52220e+01   1.20000e+01  -4.25709e-01  -2.16544e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.30632e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=6.98216e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.75977e-02   2.02403e-03** at limit **
-   2  sg_p1        2.24968e+01   6.83255e-01   1.97163e-03  -2.42215e-01
-   3  sg_p2        6.50000e+02   1.00518e+00   1.16864e-02** at limit **
-   4  sg_p3        5.38609e+01   8.09997e+00   5.22641e-03  -7.25959e-02
-   5  sg_p4        9.04199e-01   3.73923e-02   8.57345e-03   6.68076e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  9.099e-09 -3.513e-14 -1.065e-10  1.081e-10 
-  9.099e-09  4.671e-01  8.095e-06  3.376e+00  1.946e-02 
- -3.513e-14  8.095e-06  3.071e-07  1.055e-04  6.207e-07 
- -1.065e-10  3.376e+00  1.055e-04  6.604e+01  2.615e-01 
-  1.081e-10  1.946e-02  6.207e-07  2.615e-01  1.433e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75475   0.001  1.000  0.021  0.608  0.752
-        3  0.02982  -0.000  0.021  1.000  0.023  0.030
-        4  0.85148  -0.000  0.608  0.023  1.000  0.850
-        5  0.90043   0.000  0.752  0.030  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM HESSE     STATUS=OK             31 CALLS         220 TOTAL
-                     EDM=6.97303e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.75977e-02   4.04806e-04   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.24968e+01   6.85707e-01   3.94326e-04  -6.08350e-02
-   3  sg_p2        6.50000e+02   1.00444e+00   2.33727e-03   1.57075e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38609e+01   8.16623e+00   2.09056e-04  -2.72339e-01
-   5  sg_p4        9.04199e-01   3.76884e-02   1.71469e-03   3.69689e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  1.898e-09 -1.580e-15 -1.792e-10  2.195e-11 
-  1.898e-09  4.705e-01  1.591e-06  3.436e+00  1.974e-02 
- -1.580e-15  1.591e-06  3.069e-07  2.082e-05  1.221e-07 
- -1.792e-10  3.436e+00  2.082e-05  6.714e+01  2.666e-01 
-  2.195e-11  1.974e-02  1.221e-07  2.666e-01  1.456e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00025   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75678   0.000  1.000  0.004  0.611  0.754
-        3  0.00582  -0.000  0.004  1.000  0.005  0.006
-        4  0.85409  -0.000  0.611  0.005  1.000  0.853
-        5  0.90212   0.000  0.754  0.006  0.853  1.000
-650
-650 +- 0.0175977
-22.4968 +- 0.685707
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11116.3 FROM MIGRAD    STATUS=INITIATE       85 CALLS          86 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49937e+02   9.00000e+00   0.00000e+00  -4.29903e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.78823e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00   1.70769e-01
-   4  sg_p3        4.20694e+01   1.20000e+01  -4.84211e-01   8.96725e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.70161e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=6.95645e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.30525e-02   2.32852e-03** at limit **
-   2  sg_p1        2.06141e+01   7.27095e-01   1.91751e-03  -1.78455e-02
-   3  sg_p2        6.50000e+02   5.67699e-01   8.96583e-03** at limit **
-   4  sg_p3        4.38408e+01   4.74866e+00   3.33807e-03   1.68221e-02
-   5  sg_p4        8.43914e-01   5.09939e-02   1.01808e-02   4.65599e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  1.526e-08 -3.653e-13 -1.193e-07 -8.752e-10 
-  1.526e-08  5.290e-01  4.594e-06  2.209e+00  3.042e-02 
- -3.653e-13  4.594e-06  1.090e-07  2.852e-05  4.142e-07 
- -1.193e-07  2.209e+00  2.852e-05  2.261e+01  2.103e-01 
- -8.752e-10  3.042e-02  4.142e-07  2.103e-01  2.707e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00135   1.000  0.000 -0.000 -0.001 -0.000
-        2  0.80823   0.000  1.000  0.019  0.639  0.804
-        3  0.02454  -0.000  0.019  1.000  0.018  0.024
-        4  0.85317  -0.001  0.639  0.018  1.000  0.850
-        5  0.91509  -0.000  0.804  0.024  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=6.98393e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.30527e-02   4.65704e-04   1.57083e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.06141e+01   7.25563e-01   7.67004e-05  -1.75808e-01
-   3  sg_p2        6.50000e+02   5.67438e-01   1.79317e-03   1.57076e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        4.38408e+01   4.74709e+00   1.33523e-04  -4.51134e-01
-   5  sg_p4        8.43914e-01   5.09413e-02   4.07231e-04  -4.05850e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  3.367e-09 -1.567e-14 -2.669e-08 -1.963e-10 
-  3.367e-09  5.268e-01  8.847e-07  2.198e+00  3.029e-02 
- -1.567e-14  8.847e-07  1.089e-07  5.498e-06  7.992e-08 
- -2.669e-08  2.198e+00  5.498e-06  2.259e+01  2.099e-01 
- -1.963e-10  3.029e-02  7.992e-08  2.099e-01  2.702e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00030   1.000  0.000 -0.000 -0.000 -0.000
-        2  0.80732   0.000  1.000  0.004  0.637  0.803
-        3  0.00474  -0.000  0.004  1.000  0.004  0.005
-        4  0.85306  -0.000  0.637  0.004  1.000  0.850
-        5  0.91490  -0.000  0.803  0.005  0.850  1.000
-650
-650 +- 0.0230527
-20.6141 +- 0.725563
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10944.8 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49942e+02   9.00000e+00   0.00000e+00  -4.99582e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.21408e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.15963e-01
-   4  sg_p3        4.09782e+01   1.20000e+01  -5.04874e-01  -3.48354e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -7.37019e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.73549e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.97234e-02   2.13705e-03** at limit **
-   2  sg_p1        2.20280e+01   6.30629e-01   1.91154e-03   1.91770e-02
-   3  sg_p2        6.50000e+02   1.15642e+00   1.26706e-02** at limit **
-   4  sg_p3        5.38442e+01   7.62585e+00   5.23371e-03  -3.81562e-02
-   5  sg_p4        9.01968e-01   3.44467e-02   8.30135e-03   1.18530e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  5.762e-08 -8.280e-13 -3.348e-08  5.240e-10 
-  5.762e-08  3.979e-01  1.192e-05  2.762e+00  1.584e-02 
- -8.280e-13  1.192e-05  8.864e-07  1.536e-04  9.534e-07 
- -3.348e-08  2.762e+00  1.536e-04  5.849e+01  2.220e-01 
-  5.240e-10  1.584e-02  9.534e-07  2.220e-01  1.211e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00104   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72341   0.001  1.000  0.020  0.573  0.721
-        3  0.02963  -0.000  0.020  1.000  0.021  0.029
-        4  0.83506  -0.000  0.573  0.021  1.000  0.834
-        5  0.88553   0.000  0.721  0.029  0.834  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM HESSE     STATUS=OK             31 CALLS         231 TOTAL
-                     EDM=1.74019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.97235e-02   4.27410e-04   1.57071e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.20280e+01   6.32975e-01   7.64616e-05  -8.93298e-02
-   3  sg_p2        6.50000e+02   1.15565e+00   2.53411e-03   1.57087e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38442e+01   7.69157e+00   2.09349e-04  -2.72628e-01
-   5  sg_p4        9.01968e-01   3.47361e-02   3.32054e-04   3.53784e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  7.480e-09 -2.394e-14 -4.978e-09  6.545e-11 
-  7.480e-09  4.009e-01  2.527e-06  2.817e+00  1.609e-02 
- -2.394e-14  2.527e-06  8.858e-07  3.272e-05  2.022e-07 
- -4.978e-09  2.817e+00  3.272e-05  5.951e+01  2.267e-01 
-  6.545e-11  1.609e-02  2.022e-07  2.267e-01  1.232e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00014   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72585   0.000  1.000  0.004  0.577  0.724
-        3  0.00624  -0.000  0.004  1.000  0.005  0.006
-        4  0.83815  -0.000  0.577  0.005  1.000  0.837
-        5  0.88759   0.000  0.724  0.006  0.837  1.000
-650
-650 +- 0.0197235
-22.028 +- 0.632975
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11266.8 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49945e+02   9.00000e+00   0.00000e+00  -5.09816e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.59572e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00  -1.69501e-01
-   4  sg_p3        4.29297e+01   1.20000e+01  -4.68077e-01  -5.58269e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.53081e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM MIGRAD    STATUS=CONVERGED     192 CALLS         193 TOTAL
-                     EDM=6.51945e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.82842e-02   2.08842e-03** at limit **
-   2  sg_p1        2.14609e+01   6.40975e-01   1.89354e-03  -6.53789e-02
-   3  sg_p2        6.50000e+02   8.30067e-01   1.08933e-02** at limit **
-   4  sg_p3        5.04392e+01   6.38127e+00   4.50073e-03  -1.04974e-02
-   5  sg_p4        8.87574e-01   3.78194e-02   8.69382e-03   5.77855e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  7.879e-10 -3.359e-14 -1.419e-09  2.261e-12 
-  7.879e-10  4.111e-01  2.684e-05  2.430e+00  1.837e-02 
- -3.359e-14  2.684e-05  4.386e-06  2.767e-04  2.208e-06 
- -1.419e-09  2.430e+00  2.767e-04  4.089e+01  2.045e-01 
-  2.261e-12  1.837e-02  2.208e-06  2.045e-01  1.464e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75133   0.001  1.000  0.020  0.593  0.749
-        3  0.02792  -0.000  0.020  1.000  0.021  0.028
-        4  0.83716  -0.000  0.593  0.021  1.000  0.836
-        5  0.89303   0.000  0.749  0.028  0.836  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM HESSE     STATUS=OK             31 CALLS         224 TOTAL
-                     EDM=6.57565e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.82843e-02   4.17684e-04   1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.14609e+01   6.41983e-01   3.78708e-04  -1.23899e-01
-   3  sg_p2        6.50000e+02   8.29559e-01   2.17866e-03   1.57098e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.04392e+01   6.41541e+00   1.80029e-04  -3.32084e-01
-   5  sg_p4        8.87574e-01   3.80027e-02   3.47753e-04   2.53193e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  1.574e-10 -1.584e-15 -3.026e-10  3.527e-13 
-  1.574e-10  4.124e-01  6.128e-06  2.455e+00  1.851e-02 
- -1.584e-15  6.128e-06  4.383e-06  6.343e-05  5.049e-07 
- -3.026e-10  2.455e+00  6.343e-05  4.133e+01  2.070e-01 
-  3.527e-13  1.851e-02  5.049e-07  2.070e-01  1.478e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00024   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75224   0.000  1.000  0.005  0.595  0.750
-        3  0.00636  -0.000  0.005  1.000  0.005  0.006
-        4  0.83906  -0.000  0.595  0.005  1.000  0.838
-        5  0.89415   0.000  0.750  0.006  0.838  1.000
-650
-650 +- 0.0182843
-21.4609 +- 0.641983
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10353.9 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49972e+02   9.00000e+00   0.00000e+00  -3.38302e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.33664e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.20039e-01
-   4  sg_p3        4.45271e+01   1.20000e+01  -4.38463e-01  -2.07423e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.51988e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=3.70488e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.03479e-02   2.11149e-03** at limit **
-   2  sg_p1        2.19227e+01   6.48242e-01   1.90022e-03  -1.27252e-01
-   3  sg_p2        6.50000e+02   1.19398e+00   1.24007e-02** at limit **
-   4  sg_p3        5.33695e+01   7.75365e+00   5.12507e-03  -4.78312e-02
-   5  sg_p4        9.02088e-01   3.57133e-02   8.36019e-03   4.34979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.014e-08 -1.058e-12 -4.315e-09  9.944e-11 
-  1.014e-08  4.204e-01  1.012e-04  2.912e+00  1.700e-02 
- -1.058e-12  1.012e-04  5.221e-05  1.288e-03  8.107e-06 
- -4.315e-09  2.912e+00  1.288e-03  6.049e+01  2.345e-01 
-  9.944e-11  1.700e-02  8.107e-06  2.345e-01  1.304e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72806   0.001  1.000  0.022  0.577  0.726
-        3  0.03161  -0.000  0.022  1.000  0.023  0.031
-        4  0.83617  -0.000  0.577  0.023  1.000  0.835
-        5  0.88699   0.000  0.726  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=3.65925e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.03480e-02   4.22297e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19227e+01   6.50158e-01   3.80043e-04  -9.57392e-02
-   3  sg_p2        6.50000e+02   1.19307e+00   2.48014e-03   1.57134e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.33695e+01   7.80905e+00   2.05003e-04  -2.80852e-01
-   5  sg_p4        9.02088e-01   3.59600e-02   1.67204e-03   3.54640e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.922e-09 -5.339e-14 -9.335e-10  1.841e-11 
-  1.922e-09  4.229e-01  2.702e-05  2.958e+00  1.722e-02 
- -5.339e-14  2.702e-05  5.217e-05  3.453e-04  2.166e-06 
- -9.335e-10  2.958e+00  3.453e-04  6.136e+01  2.386e-01 
-  1.841e-11  1.722e-02  2.166e-06  2.386e-01  1.322e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00022   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72996   0.000  1.000  0.006  0.581  0.728
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83871  -0.000  0.581  0.006  1.000  0.838
-        5  0.88867   0.000  0.728  0.008  0.838  1.000
-650
-650 +- 0.020348
-21.9227 +- 0.650158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11888.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49914e+02   9.00000e+00   0.00000e+00  -6.82601e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.48309e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.99059e-01
-   4  sg_p3        4.46355e+01   1.20000e+01  -4.36469e-01  -2.16258e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.69494e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.23148e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.77338e-02   2.11221e-03** at limit **
-   2  sg_p1        2.19855e+01   6.05458e-01   1.90519e-03  -1.38620e-01
-   3  sg_p2        6.50000e+02   1.06015e+00   1.25262e-02** at limit **
-   4  sg_p3        5.36334e+01   7.33056e+00   5.16765e-03  -5.62178e-02
-   5  sg_p4        9.02830e-01   3.32252e-02   8.34638e-03   5.03701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  1.247e-08 -1.236e-12 -3.833e-09  1.281e-10 
-  1.247e-08  3.667e-01  8.771e-05  2.567e+00  1.472e-02 
- -1.236e-12  8.771e-05  4.483e-05  1.134e-03  7.012e-06 
- -3.833e-09  2.567e+00  1.134e-03  5.403e+01  2.060e-01 
-  1.281e-10  1.472e-02  7.012e-06  2.060e-01  1.125e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72667   0.001  1.000  0.022  0.577  0.725
-        3  0.03177  -0.000  0.022  1.000  0.023  0.031
-        4  0.83644  -0.000  0.577  0.023  1.000  0.835
-        5  0.88683   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.17857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.77339e-02   4.22443e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19855e+01   6.07305e-01   3.81037e-04  -9.19155e-02
-   3  sg_p2        6.50000e+02   1.05933e+00   2.50525e-03   1.57133e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.36334e+01   7.38443e+00   2.06706e-04  -2.76278e-01
-   5  sg_p4        9.02830e-01   3.34620e-02   1.66928e-03   3.59921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  2.310e-09 -6.277e-14 -8.650e-10  2.316e-11 
-  2.310e-09  3.690e-01  2.329e-05  2.608e+00  1.491e-02 
- -6.277e-14  2.329e-05  4.479e-05  3.022e-04  1.863e-06 
- -8.650e-10  2.608e+00  3.022e-04  5.483e+01  2.097e-01 
-  2.316e-11  1.491e-02  1.863e-06  2.097e-01  1.142e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72864   0.000  1.000  0.006  0.580  0.727
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83905  -0.000  0.580  0.006  1.000  0.838
-        5  0.88856   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0177339
-21.9855 +- 0.607305
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 17 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 18 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 20 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 21 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 22 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 26 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 35 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 41 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 650 +- 0.0189845 (stat) - 1.56965e-07 + 8.69034e-09 (syst); -0.00949226/+0.00949226 (total)
-   Uncertainty on sg_p1 = 21.9547 +- 0.628139 (stat) - 1.34059 + 0.54216 (syst); -1.37689/+0.62656 (total)
-   Uncertainty on sg_p2 = 650 +- 1.12399 (stat) - 0 + 1.14208e-05 (syst); -0.561993/+0.561993 (total)
-   Uncertainty on sg_p3 = 53.5044 +- 7.59176 (stat) - 9.66364 + 0.356475 (syst); -10.3824/+3.81258 (total)
-   Uncertainty on sg_p4 = 0.902474 +- 0.0346722 (stat) - 0.0585604 + 0.00172451 (syst); -0.0610726/+0.0174217 (total) 
-   === Baseline plot === </br>
-   norm = 1859.61
-JEC     lnN   1.0047  -
-JER     lnN   1.01327  -
-btag    lnN   1.06919  -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
deleted file mode 100644
index 127f824..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 4.21625e-07  -4.21625e-07/+0.393945  (68% CL)
-nll S+B -> -0.173404  nll B -> -0.173404
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
deleted file mode 100644
index 7a15122..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.813130:	q_mu = 3.87846	q_A  = 3.78449	CLsb = 0.02445	CLb  = 0.49037	CLs  = 0.04985
-
- -- Asymptotic -- 
-Observed Limit: r < 0.8131
-Expected  2.5%: r < 0.4321
-Expected 16.0%: r < 0.5807
-Expected 50.0%: r < 0.8164
-Expected 84.0%: r < 1.1711
-Expected 97.5%: r < 1.6271
-
-Done in 1.20 min (cpu), 1.20 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt
deleted file mode 100644
index c8ac0f6..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/datacard_260_crystal_252_330.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  191.924 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06823    -
-JER       lnN     1.02103   - 
-JEC       lnN     1.01807   -
-trigger   lnN     1.10    -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/signal260_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/signal260_sig.log
deleted file mode 100644
index 13dd83d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_crystal_252_330/signal260_sig.log
+++ /dev/null
@@ -1,842 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7249.56 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -3.41934e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -9.44540e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.87170e+02
-   4  sg_p3        5.54385e+01   2.90000e+01  -7.56845e-01  -4.27472e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.11620e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM MIGRAD    STATUS=CONVERGED     183 CALLS         184 TOTAL
-                     EDM=2.26284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.54307e+02   4.46691e-01   1.29592e-03   1.21370e-02
-   2  sg_p1        1.55513e+01   3.65330e-01   1.72918e-03  -4.57555e-02
-   3  sg_p2        3.13992e+02   1.11306e+01   1.54612e-03   9.59972e-03
-   4  sg_p3        7.00767e+01   6.24766e+00   2.56609e-03   1.76365e-03
-   5  sg_p4        9.03546e-01   1.22165e-02   2.78748e-03  -5.41093e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.996e-01  3.046e-02  3.316e-01  2.128e-01  9.423e-04 
-  3.046e-02  1.335e-01  1.073e+00 -6.884e-02  1.627e-03 
-  3.316e-01  1.073e+00  1.240e+02 -3.745e+01  8.007e-02 
-  2.128e-01 -6.884e-02 -3.745e+01  3.907e+01 -1.718e-02 
-  9.423e-04  1.627e-03  8.007e-02 -1.718e-02  1.494e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24437   1.000  0.187  0.067  0.076  0.173
-        2  0.40012   0.187  1.000  0.264 -0.030  0.364
-        3  0.72503   0.067  0.264  1.000 -0.538  0.588
-        4  0.56339   0.076 -0.030 -0.538  1.000 -0.225
-        5  0.63827   0.173  0.364  0.588 -0.225  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM HESSE     STATUS=OK             31 CALLS         215 TOTAL
-                     EDM=2.25533e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.54307e+02   4.46615e-01   2.59185e-04   2.17043e-01
-   2  sg_p1        1.55513e+01   3.65352e-01   3.45837e-04   1.79332e-01
-   3  sg_p2        3.13992e+02   1.12246e+01   6.18447e-05   4.82680e-02
-   4  sg_p3        7.00767e+01   6.29870e+00   1.02643e-04  -6.25716e-01
-   5  sg_p4        9.03546e-01   1.22468e-02   1.11499e-04   6.61353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.995e-01  3.031e-02  3.258e-01  2.130e-01  9.376e-04 
-  3.031e-02  1.335e-01  1.084e+00 -7.870e-02  1.633e-03 
-  3.258e-01  1.084e+00  1.261e+02 -3.883e+01  8.134e-02 
-  2.130e-01 -7.870e-02 -3.883e+01  3.971e+01 -1.806e-02 
-  9.376e-04  1.633e-03  8.134e-02 -1.806e-02  1.502e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24371   1.000  0.186  0.065  0.076  0.171
-        2  0.40024   0.186  1.000  0.264 -0.034  0.365
-        3  0.73047   0.065  0.264  1.000 -0.549  0.591
-        4  0.57308   0.076 -0.034 -0.549  1.000 -0.234
-        5  0.64057   0.171  0.365  0.591 -0.234  1.000
-260
-254.307 +- 0.446615
-15.5513 +- 0.365352
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7365.44 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -5.31672e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -1.29968e+02
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.18090e+02
-   4  sg_p3        7.02234e+01   2.90000e+01  -6.24469e-01   3.04411e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.01446e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM MIGRAD    STATUS=CONVERGED     193 CALLS         194 TOTAL
-                     EDM=9.01413e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.56005e+02   4.49108e-01   1.34491e-03  -5.08347e-03
-   2  sg_p1        1.58159e+01   3.69974e-01   1.76393e-03  -5.10762e-02
-   3  sg_p2        3.20358e+02   1.45835e+01   1.97066e-03   3.38124e-02
-   4  sg_p3        8.43702e+01   8.25437e+00   3.00025e-03   1.43647e-02
-   5  sg_p4        9.08830e-01   1.15488e-02   2.75207e-03  -4.16137e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.033e-02  4.244e-01  2.172e-01  8.632e-04 
-  3.033e-02  1.369e-01  1.451e+00 -1.530e-01  1.573e-03 
-  4.244e-01  1.451e+00  2.129e+02 -7.227e+01  9.550e-02 
-  2.172e-01 -1.530e-01 -7.227e+01  6.823e+01 -2.243e-02 
-  8.632e-04  1.573e-03  9.550e-02 -2.243e-02  1.335e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23216   1.000  0.182  0.065  0.059  0.166
-        2  0.40488   0.182  1.000  0.269 -0.050  0.368
-        3  0.74731   0.065  0.269  1.000 -0.600  0.566
-        4  0.62245   0.059 -0.050 -0.600  1.000 -0.235
-        5  0.62271   0.166  0.368  0.566 -0.235  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM HESSE     STATUS=OK             31 CALLS         225 TOTAL
-                     EDM=9.02546e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.56005e+02   4.49038e-01   5.37964e-05   3.04976e-01
-   2  sg_p1        1.58159e+01   3.70057e-01   3.52786e-04   2.02768e-01
-   3  sg_p2        3.20358e+02   1.47403e+01   3.94131e-04   7.02587e-02
-   4  sg_p3        8.43702e+01   8.34145e+00   1.20010e-04  -5.08769e-01
-   5  sg_p4        9.08830e-01   1.15806e-02   5.50414e-04   6.88425e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.017e-02  4.192e-01  2.171e-01  8.603e-04 
-  3.017e-02  1.370e-01  1.472e+00 -1.690e-01  1.581e-03 
-  4.192e-01  1.472e+00  2.175e+02 -7.517e+01  9.735e-02 
-  2.171e-01 -1.690e-01 -7.517e+01  6.968e+01 -2.367e-02 
-  8.603e-04  1.581e-03  9.735e-02 -2.367e-02  1.343e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23152   1.000  0.182  0.063  0.058  0.165
-        2  0.40534   0.182  1.000  0.270 -0.055  0.369
-        3  0.75354   0.063  0.270  1.000 -0.611  0.570
-        4  0.63259   0.058 -0.055 -0.611  1.000 -0.245
-        5  0.62540   0.165  0.369  0.570 -0.245  1.000
-260
-256.005 +- 0.449038
-15.8159 +- 0.370057
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7023.18 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -2.24645e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -8.46385e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.26204e+02
-   4  sg_p3        6.83932e+01   2.90000e+01  -6.40116e-01   1.32344e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.30920e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=1.6519e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.53020e+02   4.42659e-01   1.26031e-03   3.88378e-02
-   2  sg_p1        1.54031e+01   3.53863e-01   1.68006e-03  -8.87814e-02
-   3  sg_p2        3.18681e+02   1.25359e+01   1.70808e-03   3.37307e-03
-   4  sg_p3        7.61417e+01   7.12298e+00   2.70731e-03  -4.47116e-02
-   5  sg_p4        9.04717e-01   1.16729e-02   2.71701e-03  -2.80475e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.960e-01  2.470e-02  3.794e-01  1.447e-01  7.850e-04 
-  2.470e-02  1.253e-01  1.069e+00 -1.360e-01  1.312e-03 
-  3.794e-01  1.069e+00  1.572e+02 -5.206e+01  8.352e-02 
-  1.447e-01 -1.360e-01 -5.206e+01  5.079e+01 -2.199e-02 
-  7.850e-04  1.312e-03  8.352e-02 -2.199e-02  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20982   1.000  0.158  0.068  0.046  0.152
-        2  0.35244   0.158  1.000  0.241 -0.054  0.317
-        3  0.72927   0.068  0.241  1.000 -0.582  0.570
-        4  0.59651   0.046 -0.054 -0.582  1.000 -0.264
-        5  0.60854   0.152  0.317  0.570 -0.264  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM HESSE     STATUS=OK             31 CALLS         213 TOTAL
-                     EDM=1.65128e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.53020e+02   4.42602e-01   2.52062e-04   1.51594e-01
-   2  sg_p1        1.54031e+01   3.53933e-01   3.36012e-04   1.66253e-01
-   3  sg_p2        3.18681e+02   1.26590e+01   6.83233e-05   6.44624e-02
-   4  sg_p3        7.61417e+01   7.19114e+00   1.08292e-04  -5.75018e-01
-   5  sg_p4        9.04717e-01   1.17079e-02   5.43402e-04   6.67300e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.959e-01  2.459e-02  3.764e-01  1.438e-01  7.830e-04 
-  2.459e-02  1.253e-01  1.084e+00 -1.475e-01  1.320e-03 
-  3.764e-01  1.084e+00  1.604e+02 -5.404e+01  8.512e-02 
-  1.438e-01 -1.475e-01 -5.404e+01  5.177e+01 -2.306e-02 
-  7.830e-04  1.320e-03  8.512e-02 -2.306e-02  1.372e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20923   1.000  0.157  0.067  0.045  0.151
-        2  0.35293   0.157  1.000  0.242 -0.058  0.318
-        3  0.73547   0.067  0.242  1.000 -0.593  0.574
-        4  0.60661   0.045 -0.058 -0.593  1.000 -0.274
-        5  0.61162   0.151  0.318  0.574 -0.274  1.000
-260
-253.02 +- 0.442602
-15.4031 +- 0.353933
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5529.06 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.09302e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.84754e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.60258e+01
-   4  sg_p3        1.19103e+02   2.90000e+01  -2.50167e-01   6.51588e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55737e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM MIGRAD    STATUS=CONVERGED     276 CALLS         277 TOTAL
-                     EDM=4.33865e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.23280e-01   6.16272e-04  -2.78767e-01
-   2  sg_p1        3.47719e+00   1.26808e-01   2.66781e-03  -6.03093e-03
-   3  sg_p2        2.67513e+02   7.88309e+00   7.67886e-04  -3.32533e-01
-   4  sg_p3        3.42369e+01   3.97181e+00   1.09311e-03  -2.13224e-01
-   5  sg_p4        6.40026e-01   4.56991e-02   3.70400e-03   4.78364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.286e-03 -3.667e-02  3.860e-02  7.477e-05 
-  2.286e-03  1.610e-02  4.707e-01 -1.623e-01  3.257e-03 
- -3.667e-02  4.707e-01  6.220e+01 -2.796e+01  3.355e-01 
-  3.860e-02 -1.623e-01 -2.796e+01  1.579e+01 -1.455e-01 
-  7.477e-05  3.257e-03  3.355e-01 -1.455e-01  2.118e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20586   1.000  0.146 -0.038  0.079  0.013
-        2  0.60362   0.146  1.000  0.470 -0.322  0.558
-        3  0.95992  -0.038  0.470  1.000 -0.892  0.924
-        4  0.90004   0.079 -0.322 -0.892  1.000 -0.796
-        5  0.93542   0.013  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM HESSE     STATUS=OK             31 CALLS         308 TOTAL
-                     EDM=4.34749e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.23300e-01   1.23254e-04   9.13107e-02
-   2  sg_p1        3.47719e+00   1.27818e-01   1.06712e-04  -2.64476e-01
-   3  sg_p2        2.67513e+02   8.27292e+00   1.53577e-04   5.44068e-01
-   4  sg_p3        3.42369e+01   4.16972e+00   2.18622e-04  -9.84235e-01
-   5  sg_p4        6.40026e-01   4.75240e-02   7.40799e-04  -4.55485e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.233e-03 -4.363e-02  4.203e-02  3.794e-05 
-  2.233e-03  1.636e-02  5.114e-01 -1.832e-01  3.471e-03 
- -4.363e-02  5.114e-01  6.851e+01 -3.117e+01  3.687e-01 
-  4.203e-02 -1.832e-01 -3.117e+01  1.740e+01 -1.624e-01 
-  3.794e-05  3.471e-03  3.687e-01 -1.624e-01  2.293e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20660   1.000  0.142 -0.043  0.082  0.006
-        2  0.61186   0.142  1.000  0.483 -0.343  0.567
-        3  0.96369  -0.043  0.483  1.000 -0.903  0.930
-        4  0.90977   0.082 -0.343 -0.903  1.000 -0.813
-        5  0.94051   0.006  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.1233
-3.47719 +- 0.127818
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5643.26 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.61456e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -4.66447e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -2.40363e+01
-   4  sg_p3        1.17448e+02   2.90000e+01  -2.61968e-01   1.99273e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.86435e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=7.77109e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61021e+02   1.29098e-01   6.49909e-04  -1.01661e-02
-   2  sg_p1        3.57410e+00   1.33955e-01   2.78633e-03   8.71570e-03
-   3  sg_p2        2.69189e+02   7.27138e+00   7.50620e-04  -6.29806e-03
-   4  sg_p3        3.37078e+01   3.73722e+00   1.08346e-03   1.26302e-02
-   5  sg_p4        6.28095e-01   4.44728e-02   3.81722e-03   4.51572e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.658e-03 -2.984e-02  3.729e-02  1.239e-04 
-  2.658e-03  1.797e-02  4.694e-01 -1.655e-01  3.402e-03 
- -2.984e-02  4.694e-01  5.292e+01 -2.409e+01  2.999e-01 
-  3.729e-02 -1.655e-01 -2.409e+01  1.398e+01 -1.324e-01 
-  1.239e-04  3.402e-03  2.999e-01 -1.324e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21380   1.000  0.154 -0.032  0.077  0.021
-        2  0.61009   0.154  1.000  0.481 -0.330  0.567
-        3  0.95628  -0.032  0.481  1.000 -0.886  0.921
-        4  0.89342   0.077 -0.330 -0.886  1.000 -0.790
-        5  0.93183   0.021  0.567  0.921 -0.790  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM HESSE     STATUS=OK             31 CALLS         361 TOTAL
-                     EDM=7.78626e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61021e+02   1.29118e-01   1.29982e-04   1.02301e-01
-   2  sg_p1        3.57410e+00   1.35116e-01   1.11453e-04  -2.14592e-01
-   3  sg_p2        2.69189e+02   7.65572e+00   3.00248e-05   5.55561e-01
-   4  sg_p3        3.37078e+01   3.93737e+00   4.33384e-05  -9.90860e-01
-   5  sg_p4        6.28095e-01   4.63527e-02   1.52689e-04  -5.09360e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.595e-03 -3.703e-02  4.087e-02  8.376e-05 
-  2.595e-03  1.829e-02  5.123e-01 -1.882e-01  3.639e-03 
- -3.703e-02  5.123e-01  5.866e+01 -2.709e+01  3.317e-01 
-  4.087e-02 -1.882e-01 -2.709e+01  1.552e+01 -1.489e-01 
-  8.376e-05  3.639e-03  3.317e-01 -1.489e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21449   1.000  0.149 -0.037  0.080  0.014
-        2  0.61885   0.149  1.000  0.495 -0.353  0.576
-        3  0.96065  -0.037  0.495  1.000 -0.898  0.927
-        4  0.90455   0.080 -0.353 -0.898  1.000 -0.810
-        5  0.93751   0.014  0.576  0.927 -0.810  1.000
-260
-261.021 +- 0.129118
-3.5741 +- 0.135116
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5267.68 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -5.95437e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00   3.20402e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.99949e+01
-   4  sg_p3        1.11751e+02   2.90000e+01  -3.02882e-01  -4.35631e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.33332e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=1.65041e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60758e+02   1.21975e-01   5.95143e-04   1.08233e-01
-   2  sg_p1        3.44214e+00   1.23415e-01   2.58042e-03  -3.07927e-02
-   3  sg_p2        2.66886e+02   8.40621e+00   7.85904e-04  -8.91521e-02
-   4  sg_p3        3.45456e+01   4.21772e+00   1.11909e-03  -3.70390e-02
-   5  sg_p4        6.53607e-01   4.66834e-02   3.55052e-03   4.88918e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.239e-03 -3.126e-02  3.680e-02  1.101e-04 
-  2.239e-03  1.525e-02  4.727e-01 -1.617e-01  3.144e-03 
- -3.126e-02  4.727e-01  7.074e+01 -3.174e+01  3.661e-01 
-  3.680e-02 -1.617e-01 -3.174e+01  1.781e+01 -1.585e-01 
-  1.101e-04  3.144e-03  3.661e-01 -1.585e-01  2.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20236   1.000  0.149 -0.030  0.072  0.019
-        2  0.58940   0.149  1.000  0.455 -0.310  0.542
-        3  0.96112  -0.030  0.455  1.000 -0.894  0.926
-        4  0.90222   0.072 -0.310 -0.894  1.000 -0.799
-        5  0.93659   0.019  0.542  0.926 -0.799  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.76189e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60758e+02   1.21991e-01   1.19029e-04   7.59045e-02
-   2  sg_p1        3.44214e+00   1.24473e-01   5.16084e-04  -2.82680e-01
-   3  sg_p2        2.66886e+02   8.89789e+00   1.57181e-04   5.39785e-01
-   4  sg_p3        3.45456e+01   4.46620e+00   4.47638e-05  -9.80400e-01
-   5  sg_p4        6.53607e-01   4.88967e-02   1.42021e-04  -3.95830e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.186e-03 -3.913e-02  4.064e-02  6.994e-05 
-  2.186e-03  1.552e-02  5.207e-01 -1.864e-01  3.386e-03 
- -3.913e-02  5.207e-01  7.927e+01 -3.606e+01  4.092e-01 
-  4.064e-02 -1.864e-01 -3.606e+01  1.997e+01 -1.803e-01 
-  6.994e-05  3.386e-03  4.092e-01 -1.803e-01  2.428e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20297   1.000  0.144 -0.036  0.075  0.012
-        2  0.59871   0.144  1.000  0.470 -0.335  0.552
-        3  0.96537  -0.036  0.470  1.000 -0.906  0.933
-        4  0.91331   0.075 -0.335 -0.906  1.000 -0.819
-        5  0.94245   0.012  0.552  0.933 -0.819  1.000
-260
-260.758 +- 0.121991
-3.44214 +- 0.124473
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5338.33 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.92141e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -3.46913e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.94669e+01
-   4  sg_p3        1.15260e+02   2.90000e+01  -2.77623e-01   2.60024e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.53009e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=1.81993e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60953e+02   1.29425e-01   6.35842e-04   1.60007e-03
-   2  sg_p1        3.60691e+00   1.34289e-01   2.70753e-03   6.00340e-02
-   3  sg_p2        2.69933e+02   7.51981e+00   7.59887e-04   1.45220e-02
-   4  sg_p3        3.30610e+01   3.84505e+00   1.10949e-03  -7.50525e-02
-   5  sg_p4        6.55961e-01   4.53996e-02   3.52891e-03  -1.95435e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.675e-02  2.478e-03 -2.803e-02  3.713e-02  1.271e-04 
-  2.478e-03  1.806e-02  5.001e-01 -1.785e-01  3.521e-03 
- -2.803e-02  5.001e-01  5.660e+01 -2.561e+01  3.175e-01 
-  3.713e-02 -1.785e-01 -2.561e+01  1.480e+01 -1.399e-01 
-  1.271e-04  3.521e-03  3.175e-01 -1.399e-01  2.088e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20432   1.000  0.142 -0.029  0.075  0.021
-        2  0.61219   0.142  1.000  0.495 -0.345  0.573
-        3  0.95634  -0.029  0.495  1.000 -0.885  0.924
-        4  0.89204   0.075 -0.345 -0.885  1.000 -0.796
-        5  0.93370   0.021  0.573  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=1.90259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60953e+02   1.29442e-01   1.27168e-04   9.54629e-02
-   2  sg_p1        3.60691e+00   1.35689e-01   5.41506e-04  -1.97834e-01
-   3  sg_p2        2.69933e+02   7.93967e+00   3.03955e-05   5.60690e-01
-   4  sg_p3        3.30610e+01   4.05992e+00   4.43797e-05  -9.99053e-01
-   5  sg_p4        6.55961e-01   4.74783e-02   7.05783e-04  -3.85646e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.676e-02  2.413e-03 -3.514e-02  4.064e-02  8.764e-05 
-  2.413e-03  1.844e-02  5.501e-01 -2.046e-01  3.797e-03 
- -3.514e-02  5.501e-01  6.310e+01 -2.896e+01  3.534e-01 
-  4.064e-02 -2.046e-01 -2.896e+01  1.650e+01 -1.584e-01 
-  8.764e-05  3.797e-03  3.534e-01 -1.584e-01  2.286e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20493   1.000  0.137 -0.034  0.077  0.014
-        2  0.62260   0.137  1.000  0.510 -0.371  0.585
-        3  0.96093  -0.034  0.510  1.000 -0.897  0.930
-        4  0.90377   0.077 -0.371 -0.897  1.000 -0.816
-        5  0.93964   0.014  0.585  0.930 -0.816  1.000
-260
-260.953 +- 0.129442
-3.60691 +- 0.135689
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5550.93 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.28869e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.53562e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.85127e+01
-   4  sg_p3        1.16923e+02   2.90000e+01  -2.65719e-01   3.07224e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51841e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM MIGRAD    STATUS=CONVERGED     274 CALLS         275 TOTAL
-                     EDM=7.69222e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60915e+02   1.19244e-01   5.95259e-04   2.60414e-02
-   2  sg_p1        3.41319e+00   1.20663e-01   2.58530e-03   3.23980e-02
-   3  sg_p2        2.68923e+02   7.42025e+00   7.74450e-04   1.02102e-01
-   4  sg_p3        3.38737e+01   3.84818e+00   1.11926e-03   3.14690e-01
-   5  sg_p4        6.51986e-01   4.29286e-02   3.53695e-03   3.46225e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.303e-03 -1.721e-02  2.984e-02  1.633e-04 
-  2.303e-03  1.458e-02  4.143e-01 -1.451e-01  2.850e-03 
- -1.721e-02  4.143e-01  5.511e+01 -2.526e+01  2.945e-01 
-  2.984e-02 -1.451e-01 -2.526e+01  1.482e+01 -1.311e-01 
-  1.633e-04  2.850e-03  2.945e-01 -1.311e-01  1.865e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20941   1.000  0.160 -0.019  0.065  0.032
-        2  0.59245   0.160  1.000  0.462 -0.312  0.547
-        3  0.95480  -0.019  0.462  1.000 -0.884  0.919
-        4  0.89128   0.065 -0.312 -0.884  1.000 -0.789
-        5  0.92953   0.032  0.547  0.919 -0.789  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM HESSE     STATUS=OK             31 CALLS         306 TOTAL
-                     EDM=7.77868e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60915e+02   1.19248e-01   1.19052e-04   9.16025e-02
-   2  sg_p1        3.41319e+00   1.21507e-01   5.17060e-04  -2.97787e-01
-   3  sg_p2        2.68923e+02   7.75724e+00   1.54890e-04   5.53729e-01
-   4  sg_p3        3.38737e+01   4.02350e+00   2.23853e-04  -9.88776e-01
-   5  sg_p4        6.51986e-01   4.45034e-02   7.07389e-04  -4.02868e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.266e-03 -2.167e-02  3.206e-02  1.398e-04 
-  2.266e-03  1.478e-02  4.471e-01 -1.625e-01  3.022e-03 
- -2.167e-02  4.471e-01  6.023e+01 -2.794e+01  3.214e-01 
-  3.206e-02 -1.625e-01 -2.794e+01  1.620e+01 -1.452e-01 
-  1.398e-04  3.022e-03  3.214e-01 -1.452e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20954   1.000  0.156 -0.023  0.067  0.026
-        2  0.60000   0.156  1.000  0.474 -0.332  0.555
-        3  0.95873  -0.023  0.474  1.000 -0.894  0.925
-        4  0.90107   0.067 -0.332 -0.894  1.000 -0.805
-        5  0.93466   0.026  0.555  0.925 -0.805  1.000
-260
-260.915 +- 0.119248
-3.41319 +- 0.121507
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5158.41 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.61967e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.61061e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.77731e+01
-   4  sg_p3        1.15981e+02   2.90000e+01  -2.72457e-01   3.15087e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.44973e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM MIGRAD    STATUS=CONVERGED     308 CALLS         309 TOTAL
-                     EDM=5.20485e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.27328e-01   6.14172e-04  -1.42304e-01
-   2  sg_p1        3.47672e+00   1.30824e-01   2.65500e-03  -1.69927e-02
-   3  sg_p2        2.67457e+02   8.15515e+00   7.65940e-04  -5.24312e-02
-   4  sg_p3        3.41797e+01   4.10175e+00   1.09416e-03  -2.88607e-03
-   5  sg_p4        6.41502e-01   4.72632e-02   3.67010e-03   1.46000e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.621e-02  2.418e-03 -4.005e-02  4.151e-02  7.448e-05 
-  2.418e-03  1.714e-02  5.016e-01 -1.724e-01  3.472e-03 
- -4.005e-02  5.016e-01  6.658e+01 -2.986e+01  3.591e-01 
-  4.151e-02 -1.724e-01 -2.986e+01  1.684e+01 -1.554e-01 
-  7.448e-05  3.472e-03  3.591e-01 -1.554e-01  2.267e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20516   1.000  0.145 -0.039  0.079  0.012
-        2  0.60288   0.145  1.000  0.470 -0.321  0.557
-        3  0.95995  -0.039  0.470  1.000 -0.892  0.924
-        4  0.89989   0.079 -0.321 -0.892  1.000 -0.795
-        5  0.93542   0.012  0.557  0.924 -0.795  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM HESSE     STATUS=OK             31 CALLS         340 TOTAL
-                     EDM=5.2061e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.27350e-01   1.22834e-04   9.13271e-02
-   2  sg_p1        3.47672e+00   1.31905e-01   5.30999e-04  -2.64719e-01
-   3  sg_p2        2.67457e+02   8.59468e+00   1.53188e-04   5.43682e-01
-   4  sg_p3        3.41797e+01   4.32549e+00   4.37665e-05  -9.84949e-01
-   5  sg_p4        6.41502e-01   4.93072e-02   1.46804e-04  -4.48919e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.622e-02  2.353e-03 -4.855e-02  4.568e-02  2.931e-05 
-  2.353e-03  1.743e-02  5.482e-01 -1.965e-01  3.716e-03 
- -4.855e-02  5.482e-01  7.395e+01 -3.362e+01  3.979e-01 
-  4.568e-02 -1.965e-01 -3.362e+01  1.873e+01 -1.751e-01 
-  2.931e-05  3.716e-03  3.979e-01 -1.751e-01  2.471e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20598   1.000  0.140 -0.044  0.083  0.005
-        2  0.61146   0.140  1.000  0.483 -0.344  0.566
-        3  0.96402  -0.044  0.483  1.000 -0.903  0.931
-        4  0.91049   0.083 -0.344 -0.903  1.000 -0.814
-        5  0.94091   0.005  0.566  0.931 -0.814  1.000
-260
-260.912 +- 0.12735
-3.47672 +- 0.131905
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5919.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.57817e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -2.03212e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.98859e+01
-   4  sg_p3        1.17412e+02   2.90000e+01  -2.62219e-01   4.12643e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.69751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=2.6578e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.19425e-01   6.16849e-04  -2.18136e-01
-   2  sg_p1        3.47734e+00   1.22978e-01   2.67008e-03  -4.00164e-03
-   3  sg_p2        2.67522e+02   7.63977e+00   7.68027e-04   8.93806e-02
-   4  sg_p3        3.43314e+01   3.85522e+00   1.09374e-03   1.59575e-01
-   5  sg_p4        6.38280e-01   4.42553e-02   3.71607e-03  -5.05369e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.426e-02  2.165e-03 -3.368e-02  3.602e-02  7.485e-05 
-  2.165e-03  1.514e-02  4.429e-01 -1.530e-01  3.060e-03 
- -3.368e-02  4.429e-01  5.842e+01 -2.630e+01  3.147e-01 
-  3.602e-02 -1.530e-01 -2.630e+01  1.487e+01 -1.367e-01 
-  7.485e-05  3.060e-03  3.147e-01 -1.367e-01  1.985e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20661   1.000  0.147 -0.037  0.078  0.014
-        2  0.60439   0.147  1.000  0.471 -0.322  0.558
-        3  0.95995  -0.037  0.471  1.000 -0.892  0.924
-        4  0.90013   0.078 -0.322 -0.892  1.000 -0.796
-        5  0.93549   0.014  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=2.80959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.19444e-01   1.23370e-04   9.13304e-02
-   2  sg_p1        3.47734e+00   1.23908e-01   1.06803e-04  -2.64402e-01
-   3  sg_p2        2.67522e+02   8.01092e+00   1.53605e-04   5.44131e-01
-   4  sg_p3        3.43314e+01   4.04488e+00   2.18748e-04  -9.83058e-01
-   5  sg_p4        6.38280e-01   4.59835e-02   1.48643e-04  -4.63274e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.427e-02  2.115e-03 -4.024e-02  3.926e-02  4.011e-05 
-  2.115e-03  1.537e-02  4.799e-01 -1.722e-01  3.254e-03 
- -4.024e-02  4.799e-01  6.424e+01 -2.927e+01  3.453e-01 
-  3.926e-02 -1.722e-01 -2.927e+01  1.637e+01 -1.524e-01 
-  4.011e-05  3.254e-03  3.453e-01 -1.524e-01  2.145e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20733   1.000  0.143 -0.042  0.081  0.007
-        2  0.61221   0.143  1.000  0.483 -0.343  0.567
-        3  0.96365  -0.042  0.483  1.000 -0.903  0.930
-        4  0.90974   0.081 -0.343 -0.903  1.000 -0.813
-        5  0.94046   0.007  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.119444
-3.47734 +- 0.123908
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 260.912 +- 0.1233 (stat) - 0.153523 + 0.10939 (syst); -0.165439/+0.125566 (total)
-   Uncertainty on sg_p1 = 3.47719 +- 0.127818 (stat) - 0.064005 + 0.129714 (syst); -0.0904489/+0.144603 (total)
-   Uncertainty on sg_p2 = 267.513 +- 8.27292 (stat) - 0.627396 + 2.41961 (syst); -4.18377/+4.79216 (total)
-   Uncertainty on sg_p3 = 34.2369 +- 4.16972 (stat) - 1.17594 + 0.308663 (syst); -2.39363/+2.10758 (total)
-   Uncertainty on sg_p4 = 0.640026 +- 0.047524 (stat) - 0.0119301 + 0.0159351 (syst); -0.0265887/+0.0286105 (total) 
-   === Baseline plot === </br>
-   norm = 191.924
-JEC     lnN   1.01807  -
-JER     lnN   1.02103  -
-btag    lnN   1.06823  -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
deleted file mode 100644
index 8a8f4e7..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00386112  -0.00386112/+0.4019  (68% CL)
-nll S+B -> -0.0451794  nll B -> -0.0451332
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
deleted file mode 100644
index da5c437..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.817760:	q_mu = 3.85403	q_A  = 3.83640	CLsb = 0.02481	CLb  = 0.49820	CLs  = 0.04980
-
- -- Asymptotic -- 
-Observed Limit: r < 0.8178
-Expected  2.5%: r < 0.4353
-Expected 16.0%: r < 0.5827
-Expected 50.0%: r < 0.8164
-Expected 84.0%: r < 1.1646
-Expected 97.5%: r < 1.6125
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt
deleted file mode 100644
index f12206c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/datacard_260_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_260.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  191.924 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06823    -
-JER       lnN     1.02103   - 
-JEC       lnN     1.01807   -
-trigger   lnN     1.10    -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/signal260_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/signal260_sig.log
deleted file mode 100644
index 13dd83d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_260_gaus_exp_252_330/signal260_sig.log
+++ /dev/null
@@ -1,842 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7249.56 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -3.41934e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -9.44540e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.87170e+02
-   4  sg_p3        5.54385e+01   2.90000e+01  -7.56845e-01  -4.27472e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.11620e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM MIGRAD    STATUS=CONVERGED     183 CALLS         184 TOTAL
-                     EDM=2.26284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.54307e+02   4.46691e-01   1.29592e-03   1.21370e-02
-   2  sg_p1        1.55513e+01   3.65330e-01   1.72918e-03  -4.57555e-02
-   3  sg_p2        3.13992e+02   1.11306e+01   1.54612e-03   9.59972e-03
-   4  sg_p3        7.00767e+01   6.24766e+00   2.56609e-03   1.76365e-03
-   5  sg_p4        9.03546e-01   1.22165e-02   2.78748e-03  -5.41093e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.996e-01  3.046e-02  3.316e-01  2.128e-01  9.423e-04 
-  3.046e-02  1.335e-01  1.073e+00 -6.884e-02  1.627e-03 
-  3.316e-01  1.073e+00  1.240e+02 -3.745e+01  8.007e-02 
-  2.128e-01 -6.884e-02 -3.745e+01  3.907e+01 -1.718e-02 
-  9.423e-04  1.627e-03  8.007e-02 -1.718e-02  1.494e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24437   1.000  0.187  0.067  0.076  0.173
-        2  0.40012   0.187  1.000  0.264 -0.030  0.364
-        3  0.72503   0.067  0.264  1.000 -0.538  0.588
-        4  0.56339   0.076 -0.030 -0.538  1.000 -0.225
-        5  0.63827   0.173  0.364  0.588 -0.225  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7161.13 FROM HESSE     STATUS=OK             31 CALLS         215 TOTAL
-                     EDM=2.25533e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.54307e+02   4.46615e-01   2.59185e-04   2.17043e-01
-   2  sg_p1        1.55513e+01   3.65352e-01   3.45837e-04   1.79332e-01
-   3  sg_p2        3.13992e+02   1.12246e+01   6.18447e-05   4.82680e-02
-   4  sg_p3        7.00767e+01   6.29870e+00   1.02643e-04  -6.25716e-01
-   5  sg_p4        9.03546e-01   1.22468e-02   1.11499e-04   6.61353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.995e-01  3.031e-02  3.258e-01  2.130e-01  9.376e-04 
-  3.031e-02  1.335e-01  1.084e+00 -7.870e-02  1.633e-03 
-  3.258e-01  1.084e+00  1.261e+02 -3.883e+01  8.134e-02 
-  2.130e-01 -7.870e-02 -3.883e+01  3.971e+01 -1.806e-02 
-  9.376e-04  1.633e-03  8.134e-02 -1.806e-02  1.502e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24371   1.000  0.186  0.065  0.076  0.171
-        2  0.40024   0.186  1.000  0.264 -0.034  0.365
-        3  0.73047   0.065  0.264  1.000 -0.549  0.591
-        4  0.57308   0.076 -0.034 -0.549  1.000 -0.234
-        5  0.64057   0.171  0.365  0.591 -0.234  1.000
-260
-254.307 +- 0.446615
-15.5513 +- 0.365352
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7365.44 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -5.31672e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -1.29968e+02
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.18090e+02
-   4  sg_p3        7.02234e+01   2.90000e+01  -6.24469e-01   3.04411e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.01446e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM MIGRAD    STATUS=CONVERGED     193 CALLS         194 TOTAL
-                     EDM=9.01413e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.56005e+02   4.49108e-01   1.34491e-03  -5.08347e-03
-   2  sg_p1        1.58159e+01   3.69974e-01   1.76393e-03  -5.10762e-02
-   3  sg_p2        3.20358e+02   1.45835e+01   1.97066e-03   3.38124e-02
-   4  sg_p3        8.43702e+01   8.25437e+00   3.00025e-03   1.43647e-02
-   5  sg_p4        9.08830e-01   1.15488e-02   2.75207e-03  -4.16137e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.033e-02  4.244e-01  2.172e-01  8.632e-04 
-  3.033e-02  1.369e-01  1.451e+00 -1.530e-01  1.573e-03 
-  4.244e-01  1.451e+00  2.129e+02 -7.227e+01  9.550e-02 
-  2.172e-01 -1.530e-01 -7.227e+01  6.823e+01 -2.243e-02 
-  8.632e-04  1.573e-03  9.550e-02 -2.243e-02  1.335e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23216   1.000  0.182  0.065  0.059  0.166
-        2  0.40488   0.182  1.000  0.269 -0.050  0.368
-        3  0.74731   0.065  0.269  1.000 -0.600  0.566
-        4  0.62245   0.059 -0.050 -0.600  1.000 -0.235
-        5  0.62271   0.166  0.368  0.566 -0.235  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7235.04 FROM HESSE     STATUS=OK             31 CALLS         225 TOTAL
-                     EDM=9.02546e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.56005e+02   4.49038e-01   5.37964e-05   3.04976e-01
-   2  sg_p1        1.58159e+01   3.70057e-01   3.52786e-04   2.02768e-01
-   3  sg_p2        3.20358e+02   1.47403e+01   3.94131e-04   7.02587e-02
-   4  sg_p3        8.43702e+01   8.34145e+00   1.20010e-04  -5.08769e-01
-   5  sg_p4        9.08830e-01   1.15806e-02   5.50414e-04   6.88425e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.017e-01  3.017e-02  4.192e-01  2.171e-01  8.603e-04 
-  3.017e-02  1.370e-01  1.472e+00 -1.690e-01  1.581e-03 
-  4.192e-01  1.472e+00  2.175e+02 -7.517e+01  9.735e-02 
-  2.171e-01 -1.690e-01 -7.517e+01  6.968e+01 -2.367e-02 
-  8.603e-04  1.581e-03  9.735e-02 -2.367e-02  1.343e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23152   1.000  0.182  0.063  0.058  0.165
-        2  0.40534   0.182  1.000  0.270 -0.055  0.369
-        3  0.75354   0.063  0.270  1.000 -0.611  0.570
-        4  0.63259   0.058 -0.055 -0.611  1.000 -0.245
-        5  0.62540   0.165  0.369  0.570 -0.245  1.000
-260
-256.005 +- 0.449038
-15.8159 +- 0.370057
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=7023.18 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.50000e+02   4.00000e+00   0.00000e+00  -2.24645e+02
-   2  sg_p1        1.35000e+01   2.30000e+00   0.00000e+00  -8.46385e+01
-   3  sg_p2        3.00000e+02   5.80000e+01   0.00000e+00   2.26204e+02
-   4  sg_p3        6.83932e+01   2.90000e+01  -6.40116e-01   1.32344e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00  -1.30920e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=1.6519e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.53020e+02   4.42659e-01   1.26031e-03   3.88378e-02
-   2  sg_p1        1.54031e+01   3.53863e-01   1.68006e-03  -8.87814e-02
-   3  sg_p2        3.18681e+02   1.25359e+01   1.70808e-03   3.37307e-03
-   4  sg_p3        7.61417e+01   7.12298e+00   2.70731e-03  -4.47116e-02
-   5  sg_p4        9.04717e-01   1.16729e-02   2.71701e-03  -2.80475e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.960e-01  2.470e-02  3.794e-01  1.447e-01  7.850e-04 
-  2.470e-02  1.253e-01  1.069e+00 -1.360e-01  1.312e-03 
-  3.794e-01  1.069e+00  1.572e+02 -5.206e+01  8.352e-02 
-  1.447e-01 -1.360e-01 -5.206e+01  5.079e+01 -2.199e-02 
-  7.850e-04  1.312e-03  8.352e-02 -2.199e-02  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20982   1.000  0.158  0.068  0.046  0.152
-        2  0.35244   0.158  1.000  0.241 -0.054  0.317
-        3  0.72927   0.068  0.241  1.000 -0.582  0.570
-        4  0.59651   0.046 -0.054 -0.582  1.000 -0.264
-        5  0.60854   0.152  0.317  0.570 -0.264  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6951.87 FROM HESSE     STATUS=OK             31 CALLS         213 TOTAL
-                     EDM=1.65128e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.53020e+02   4.42602e-01   2.52062e-04   1.51594e-01
-   2  sg_p1        1.54031e+01   3.53933e-01   3.36012e-04   1.66253e-01
-   3  sg_p2        3.18681e+02   1.26590e+01   6.83233e-05   6.44624e-02
-   4  sg_p3        7.61417e+01   7.19114e+00   1.08292e-04  -5.75018e-01
-   5  sg_p4        9.04717e-01   1.17079e-02   5.43402e-04   6.67300e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.959e-01  2.459e-02  3.764e-01  1.438e-01  7.830e-04 
-  2.459e-02  1.253e-01  1.084e+00 -1.475e-01  1.320e-03 
-  3.764e-01  1.084e+00  1.604e+02 -5.404e+01  8.512e-02 
-  1.438e-01 -1.475e-01 -5.404e+01  5.177e+01 -2.306e-02 
-  7.830e-04  1.320e-03  8.512e-02 -2.306e-02  1.372e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20923   1.000  0.157  0.067  0.045  0.151
-        2  0.35293   0.157  1.000  0.242 -0.058  0.318
-        3  0.73547   0.067  0.242  1.000 -0.593  0.574
-        4  0.60661   0.045 -0.058 -0.593  1.000 -0.274
-        5  0.61162   0.151  0.318  0.574 -0.274  1.000
-260
-253.02 +- 0.442602
-15.4031 +- 0.353933
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5529.06 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.09302e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.84754e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.60258e+01
-   4  sg_p3        1.19103e+02   2.90000e+01  -2.50167e-01   6.51588e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55737e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM MIGRAD    STATUS=CONVERGED     276 CALLS         277 TOTAL
-                     EDM=4.33865e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.23280e-01   6.16272e-04  -2.78767e-01
-   2  sg_p1        3.47719e+00   1.26808e-01   2.66781e-03  -6.03093e-03
-   3  sg_p2        2.67513e+02   7.88309e+00   7.67886e-04  -3.32533e-01
-   4  sg_p3        3.42369e+01   3.97181e+00   1.09311e-03  -2.13224e-01
-   5  sg_p4        6.40026e-01   4.56991e-02   3.70400e-03   4.78364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.286e-03 -3.667e-02  3.860e-02  7.477e-05 
-  2.286e-03  1.610e-02  4.707e-01 -1.623e-01  3.257e-03 
- -3.667e-02  4.707e-01  6.220e+01 -2.796e+01  3.355e-01 
-  3.860e-02 -1.623e-01 -2.796e+01  1.579e+01 -1.455e-01 
-  7.477e-05  3.257e-03  3.355e-01 -1.455e-01  2.118e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20586   1.000  0.146 -0.038  0.079  0.013
-        2  0.60362   0.146  1.000  0.470 -0.322  0.558
-        3  0.95992  -0.038  0.470  1.000 -0.892  0.924
-        4  0.90004   0.079 -0.322 -0.892  1.000 -0.796
-        5  0.93542   0.013  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5416.32 FROM HESSE     STATUS=OK             31 CALLS         308 TOTAL
-                     EDM=4.34749e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.23300e-01   1.23254e-04   9.13107e-02
-   2  sg_p1        3.47719e+00   1.27818e-01   1.06712e-04  -2.64476e-01
-   3  sg_p2        2.67513e+02   8.27292e+00   1.53577e-04   5.44068e-01
-   4  sg_p3        3.42369e+01   4.16972e+00   2.18622e-04  -9.84235e-01
-   5  sg_p4        6.40026e-01   4.75240e-02   7.40799e-04  -4.55485e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.520e-02  2.233e-03 -4.363e-02  4.203e-02  3.794e-05 
-  2.233e-03  1.636e-02  5.114e-01 -1.832e-01  3.471e-03 
- -4.363e-02  5.114e-01  6.851e+01 -3.117e+01  3.687e-01 
-  4.203e-02 -1.832e-01 -3.117e+01  1.740e+01 -1.624e-01 
-  3.794e-05  3.471e-03  3.687e-01 -1.624e-01  2.293e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20660   1.000  0.142 -0.043  0.082  0.006
-        2  0.61186   0.142  1.000  0.483 -0.343  0.567
-        3  0.96369  -0.043  0.483  1.000 -0.903  0.930
-        4  0.90977   0.082 -0.343 -0.903  1.000 -0.813
-        5  0.94051   0.006  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.1233
-3.47719 +- 0.127818
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5643.26 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.61456e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -4.66447e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -2.40363e+01
-   4  sg_p3        1.17448e+02   2.90000e+01  -2.61968e-01   1.99273e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.86435e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=7.77109e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61021e+02   1.29098e-01   6.49909e-04  -1.01661e-02
-   2  sg_p1        3.57410e+00   1.33955e-01   2.78633e-03   8.71570e-03
-   3  sg_p2        2.69189e+02   7.27138e+00   7.50620e-04  -6.29806e-03
-   4  sg_p3        3.37078e+01   3.73722e+00   1.08346e-03   1.26302e-02
-   5  sg_p4        6.28095e-01   4.44728e-02   3.81722e-03   4.51572e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.658e-03 -2.984e-02  3.729e-02  1.239e-04 
-  2.658e-03  1.797e-02  4.694e-01 -1.655e-01  3.402e-03 
- -2.984e-02  4.694e-01  5.292e+01 -2.409e+01  2.999e-01 
-  3.729e-02 -1.655e-01 -2.409e+01  1.398e+01 -1.324e-01 
-  1.239e-04  3.402e-03  2.999e-01 -1.324e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21380   1.000  0.154 -0.032  0.077  0.021
-        2  0.61009   0.154  1.000  0.481 -0.330  0.567
-        3  0.95628  -0.032  0.481  1.000 -0.886  0.921
-        4  0.89342   0.077 -0.330 -0.886  1.000 -0.790
-        5  0.93183   0.021  0.567  0.921 -0.790  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5508.96 FROM HESSE     STATUS=OK             31 CALLS         361 TOTAL
-                     EDM=7.78626e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61021e+02   1.29118e-01   1.29982e-04   1.02301e-01
-   2  sg_p1        3.57410e+00   1.35116e-01   1.11453e-04  -2.14592e-01
-   3  sg_p2        2.69189e+02   7.65572e+00   3.00248e-05   5.55561e-01
-   4  sg_p3        3.37078e+01   3.93737e+00   4.33384e-05  -9.90860e-01
-   5  sg_p4        6.28095e-01   4.63527e-02   1.52689e-04  -5.09360e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.667e-02  2.595e-03 -3.703e-02  4.087e-02  8.376e-05 
-  2.595e-03  1.829e-02  5.123e-01 -1.882e-01  3.639e-03 
- -3.703e-02  5.123e-01  5.866e+01 -2.709e+01  3.317e-01 
-  4.087e-02 -1.882e-01 -2.709e+01  1.552e+01 -1.489e-01 
-  8.376e-05  3.639e-03  3.317e-01 -1.489e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21449   1.000  0.149 -0.037  0.080  0.014
-        2  0.61885   0.149  1.000  0.495 -0.353  0.576
-        3  0.96065  -0.037  0.495  1.000 -0.898  0.927
-        4  0.90455   0.080 -0.353 -0.898  1.000 -0.810
-        5  0.93751   0.014  0.576  0.927 -0.810  1.000
-260
-261.021 +- 0.129118
-3.5741 +- 0.135116
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5267.68 FROM MIGRAD    STATUS=INITIATE       37 CALLS          38 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -5.95437e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00   3.20402e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.99949e+01
-   4  sg_p3        1.11751e+02   2.90000e+01  -3.02882e-01  -4.35631e-01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.33332e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=1.65041e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60758e+02   1.21975e-01   5.95143e-04   1.08233e-01
-   2  sg_p1        3.44214e+00   1.23415e-01   2.58042e-03  -3.07927e-02
-   3  sg_p2        2.66886e+02   8.40621e+00   7.85904e-04  -8.91521e-02
-   4  sg_p3        3.45456e+01   4.21772e+00   1.11909e-03  -3.70390e-02
-   5  sg_p4        6.53607e-01   4.66834e-02   3.55052e-03   4.88918e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.239e-03 -3.126e-02  3.680e-02  1.101e-04 
-  2.239e-03  1.525e-02  4.727e-01 -1.617e-01  3.144e-03 
- -3.126e-02  4.727e-01  7.074e+01 -3.174e+01  3.661e-01 
-  3.680e-02 -1.617e-01 -3.174e+01  1.781e+01 -1.585e-01 
-  1.101e-04  3.144e-03  3.661e-01 -1.585e-01  2.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20236   1.000  0.149 -0.030  0.072  0.019
-        2  0.58940   0.149  1.000  0.455 -0.310  0.542
-        3  0.96112  -0.030  0.455  1.000 -0.894  0.926
-        4  0.90222   0.072 -0.310 -0.894  1.000 -0.799
-        5  0.93659   0.019  0.542  0.926 -0.799  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5177.85 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.76189e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60758e+02   1.21991e-01   1.19029e-04   7.59045e-02
-   2  sg_p1        3.44214e+00   1.24473e-01   5.16084e-04  -2.82680e-01
-   3  sg_p2        2.66886e+02   8.89789e+00   1.57181e-04   5.39785e-01
-   4  sg_p3        3.45456e+01   4.46620e+00   4.47638e-05  -9.80400e-01
-   5  sg_p4        6.53607e-01   4.88967e-02   1.42021e-04  -3.95830e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-02  2.186e-03 -3.913e-02  4.064e-02  6.994e-05 
-  2.186e-03  1.552e-02  5.207e-01 -1.864e-01  3.386e-03 
- -3.913e-02  5.207e-01  7.927e+01 -3.606e+01  4.092e-01 
-  4.064e-02 -1.864e-01 -3.606e+01  1.997e+01 -1.803e-01 
-  6.994e-05  3.386e-03  4.092e-01 -1.803e-01  2.428e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20297   1.000  0.144 -0.036  0.075  0.012
-        2  0.59871   0.144  1.000  0.470 -0.335  0.552
-        3  0.96537  -0.036  0.470  1.000 -0.906  0.933
-        4  0.91331   0.075 -0.335 -0.906  1.000 -0.819
-        5  0.94245   0.012  0.552  0.933 -0.819  1.000
-260
-260.758 +- 0.121991
-3.44214 +- 0.124473
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5338.33 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.92141e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -3.46913e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.94669e+01
-   4  sg_p3        1.15260e+02   2.90000e+01  -2.77623e-01   2.60024e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.53009e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=1.81993e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60953e+02   1.29425e-01   6.35842e-04   1.60007e-03
-   2  sg_p1        3.60691e+00   1.34289e-01   2.70753e-03   6.00340e-02
-   3  sg_p2        2.69933e+02   7.51981e+00   7.59887e-04   1.45220e-02
-   4  sg_p3        3.30610e+01   3.84505e+00   1.10949e-03  -7.50525e-02
-   5  sg_p4        6.55961e-01   4.53996e-02   3.52891e-03  -1.95435e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.675e-02  2.478e-03 -2.803e-02  3.713e-02  1.271e-04 
-  2.478e-03  1.806e-02  5.001e-01 -1.785e-01  3.521e-03 
- -2.803e-02  5.001e-01  5.660e+01 -2.561e+01  3.175e-01 
-  3.713e-02 -1.785e-01 -2.561e+01  1.480e+01 -1.399e-01 
-  1.271e-04  3.521e-03  3.175e-01 -1.399e-01  2.088e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20432   1.000  0.142 -0.029  0.075  0.021
-        2  0.61219   0.142  1.000  0.495 -0.345  0.573
-        3  0.95634  -0.029  0.495  1.000 -0.885  0.924
-        4  0.89204   0.075 -0.345 -0.885  1.000 -0.796
-        5  0.93370   0.021  0.573  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5229.92 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=1.90259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60953e+02   1.29442e-01   1.27168e-04   9.54629e-02
-   2  sg_p1        3.60691e+00   1.35689e-01   5.41506e-04  -1.97834e-01
-   3  sg_p2        2.69933e+02   7.93967e+00   3.03955e-05   5.60690e-01
-   4  sg_p3        3.30610e+01   4.05992e+00   4.43797e-05  -9.99053e-01
-   5  sg_p4        6.55961e-01   4.74783e-02   7.05783e-04  -3.85646e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.676e-02  2.413e-03 -3.514e-02  4.064e-02  8.764e-05 
-  2.413e-03  1.844e-02  5.501e-01 -2.046e-01  3.797e-03 
- -3.514e-02  5.501e-01  6.310e+01 -2.896e+01  3.534e-01 
-  4.064e-02 -2.046e-01 -2.896e+01  1.650e+01 -1.584e-01 
-  8.764e-05  3.797e-03  3.534e-01 -1.584e-01  2.286e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20493   1.000  0.137 -0.034  0.077  0.014
-        2  0.62260   0.137  1.000  0.510 -0.371  0.585
-        3  0.96093  -0.034  0.510  1.000 -0.897  0.930
-        4  0.90377   0.077 -0.371 -0.897  1.000 -0.816
-        5  0.93964   0.014  0.585  0.930 -0.816  1.000
-260
-260.953 +- 0.129442
-3.60691 +- 0.135689
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5550.93 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.28869e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.53562e+00
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.85127e+01
-   4  sg_p3        1.16923e+02   2.90000e+01  -2.65719e-01   3.07224e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51841e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM MIGRAD    STATUS=CONVERGED     274 CALLS         275 TOTAL
-                     EDM=7.69222e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60915e+02   1.19244e-01   5.95259e-04   2.60414e-02
-   2  sg_p1        3.41319e+00   1.20663e-01   2.58530e-03   3.23980e-02
-   3  sg_p2        2.68923e+02   7.42025e+00   7.74450e-04   1.02102e-01
-   4  sg_p3        3.38737e+01   3.84818e+00   1.11926e-03   3.14690e-01
-   5  sg_p4        6.51986e-01   4.29286e-02   3.53695e-03   3.46225e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.303e-03 -1.721e-02  2.984e-02  1.633e-04 
-  2.303e-03  1.458e-02  4.143e-01 -1.451e-01  2.850e-03 
- -1.721e-02  4.143e-01  5.511e+01 -2.526e+01  2.945e-01 
-  2.984e-02 -1.451e-01 -2.526e+01  1.482e+01 -1.311e-01 
-  1.633e-04  2.850e-03  2.945e-01 -1.311e-01  1.865e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20941   1.000  0.160 -0.019  0.065  0.032
-        2  0.59245   0.160  1.000  0.462 -0.312  0.547
-        3  0.95480  -0.019  0.462  1.000 -0.884  0.919
-        4  0.89128   0.065 -0.312 -0.884  1.000 -0.789
-        5  0.92953   0.032  0.547  0.919 -0.789  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5437.82 FROM HESSE     STATUS=OK             31 CALLS         306 TOTAL
-                     EDM=7.77868e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60915e+02   1.19248e-01   1.19052e-04   9.16025e-02
-   2  sg_p1        3.41319e+00   1.21507e-01   5.17060e-04  -2.97787e-01
-   3  sg_p2        2.68923e+02   7.75724e+00   1.54890e-04   5.53729e-01
-   4  sg_p3        3.38737e+01   4.02350e+00   2.23853e-04  -9.88776e-01
-   5  sg_p4        6.51986e-01   4.45034e-02   7.07389e-04  -4.02868e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.422e-02  2.266e-03 -2.167e-02  3.206e-02  1.398e-04 
-  2.266e-03  1.478e-02  4.471e-01 -1.625e-01  3.022e-03 
- -2.167e-02  4.471e-01  6.023e+01 -2.794e+01  3.214e-01 
-  3.206e-02 -1.625e-01 -2.794e+01  1.620e+01 -1.452e-01 
-  1.398e-04  3.022e-03  3.214e-01 -1.452e-01  2.006e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20954   1.000  0.156 -0.023  0.067  0.026
-        2  0.60000   0.156  1.000  0.474 -0.332  0.555
-        3  0.95873  -0.023  0.474  1.000 -0.894  0.925
-        4  0.90107   0.067 -0.332 -0.894  1.000 -0.805
-        5  0.93466   0.026  0.555  0.925 -0.805  1.000
-260
-260.915 +- 0.119248
-3.41319 +- 0.121507
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5158.41 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -6.61967e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -1.61061e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.77731e+01
-   4  sg_p3        1.15981e+02   2.90000e+01  -2.72457e-01   3.15087e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.44973e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM MIGRAD    STATUS=CONVERGED     308 CALLS         309 TOTAL
-                     EDM=5.20485e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.27328e-01   6.14172e-04  -1.42304e-01
-   2  sg_p1        3.47672e+00   1.30824e-01   2.65500e-03  -1.69927e-02
-   3  sg_p2        2.67457e+02   8.15515e+00   7.65940e-04  -5.24312e-02
-   4  sg_p3        3.41797e+01   4.10175e+00   1.09416e-03  -2.88607e-03
-   5  sg_p4        6.41502e-01   4.72632e-02   3.67010e-03   1.46000e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.621e-02  2.418e-03 -4.005e-02  4.151e-02  7.448e-05 
-  2.418e-03  1.714e-02  5.016e-01 -1.724e-01  3.472e-03 
- -4.005e-02  5.016e-01  6.658e+01 -2.986e+01  3.591e-01 
-  4.151e-02 -1.724e-01 -2.986e+01  1.684e+01 -1.554e-01 
-  7.448e-05  3.472e-03  3.591e-01 -1.554e-01  2.267e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20516   1.000  0.145 -0.039  0.079  0.012
-        2  0.60288   0.145  1.000  0.470 -0.321  0.557
-        3  0.95995  -0.039  0.470  1.000 -0.892  0.924
-        4  0.89989   0.079 -0.321 -0.892  1.000 -0.795
-        5  0.93542   0.012  0.557  0.924 -0.795  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5054.08 FROM HESSE     STATUS=OK             31 CALLS         340 TOTAL
-                     EDM=5.2061e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.27350e-01   1.22834e-04   9.13271e-02
-   2  sg_p1        3.47672e+00   1.31905e-01   5.30999e-04  -2.64719e-01
-   3  sg_p2        2.67457e+02   8.59468e+00   1.53188e-04   5.43682e-01
-   4  sg_p3        3.41797e+01   4.32549e+00   4.37665e-05  -9.84949e-01
-   5  sg_p4        6.41502e-01   4.93072e-02   1.46804e-04  -4.48919e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.622e-02  2.353e-03 -4.855e-02  4.568e-02  2.931e-05 
-  2.353e-03  1.743e-02  5.482e-01 -1.965e-01  3.716e-03 
- -4.855e-02  5.482e-01  7.395e+01 -3.362e+01  3.979e-01 
-  4.568e-02 -1.965e-01 -3.362e+01  1.873e+01 -1.751e-01 
-  2.931e-05  3.716e-03  3.979e-01 -1.751e-01  2.471e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20598   1.000  0.140 -0.044  0.083  0.005
-        2  0.61146   0.140  1.000  0.483 -0.344  0.566
-        3  0.96402  -0.044  0.483  1.000 -0.903  0.931
-        4  0.91049   0.083 -0.344 -0.903  1.000 -0.814
-        5  0.94091   0.005  0.566  0.931 -0.814  1.000
-260
-260.912 +- 0.12735
-3.47672 +- 0.131905
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5919.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60000e+02   2.00000e+00   0.00000e+00  -7.57817e+02
-   2  sg_p1        4.00000e+00   4.00000e-01   0.00000e+00  -2.03212e+01
-   3  sg_p2        1.79000e+02   3.42000e+01   0.00000e+00  -1.98859e+01
-   4  sg_p3        1.17412e+02   2.90000e+01  -2.62219e-01   4.12643e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.69751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=2.6578e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.60912e+02   1.19425e-01   6.16849e-04  -2.18136e-01
-   2  sg_p1        3.47734e+00   1.22978e-01   2.67008e-03  -4.00164e-03
-   3  sg_p2        2.67522e+02   7.63977e+00   7.68027e-04   8.93806e-02
-   4  sg_p3        3.43314e+01   3.85522e+00   1.09374e-03   1.59575e-01
-   5  sg_p4        6.38280e-01   4.42553e-02   3.71607e-03  -5.05369e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.426e-02  2.165e-03 -3.368e-02  3.602e-02  7.485e-05 
-  2.165e-03  1.514e-02  4.429e-01 -1.530e-01  3.060e-03 
- -3.368e-02  4.429e-01  5.842e+01 -2.630e+01  3.147e-01 
-  3.602e-02 -1.530e-01 -2.630e+01  1.487e+01 -1.367e-01 
-  7.485e-05  3.060e-03  3.147e-01 -1.367e-01  1.985e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20661   1.000  0.147 -0.037  0.078  0.014
-        2  0.60439   0.147  1.000  0.471 -0.322  0.558
-        3  0.95995  -0.037  0.471  1.000 -0.892  0.924
-        4  0.90013   0.078 -0.322 -0.892  1.000 -0.796
-        5  0.93549   0.014  0.558  0.924 -0.796  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5797.63 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=2.80959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.60912e+02   1.19444e-01   1.23370e-04   9.13304e-02
-   2  sg_p1        3.47734e+00   1.23908e-01   1.06803e-04  -2.64402e-01
-   3  sg_p2        2.67522e+02   8.01092e+00   1.53605e-04   5.44131e-01
-   4  sg_p3        3.43314e+01   4.04488e+00   2.18748e-04  -9.83058e-01
-   5  sg_p4        6.38280e-01   4.59835e-02   1.48643e-04  -4.63274e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.427e-02  2.115e-03 -4.024e-02  3.926e-02  4.011e-05 
-  2.115e-03  1.537e-02  4.799e-01 -1.722e-01  3.254e-03 
- -4.024e-02  4.799e-01  6.424e+01 -2.927e+01  3.453e-01 
-  3.926e-02 -1.722e-01 -2.927e+01  1.637e+01 -1.524e-01 
-  4.011e-05  3.254e-03  3.453e-01 -1.524e-01  2.145e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20733   1.000  0.143 -0.042  0.081  0.007
-        2  0.61221   0.143  1.000  0.483 -0.343  0.567
-        3  0.96365  -0.042  0.483  1.000 -0.903  0.930
-        4  0.90974   0.081 -0.343 -0.903  1.000 -0.813
-        5  0.94046   0.007  0.567  0.930 -0.813  1.000
-260
-260.912 +- 0.119444
-3.47734 +- 0.123908
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 260.912 +- 0.1233 (stat) - 0.153523 + 0.10939 (syst); -0.165439/+0.125566 (total)
-   Uncertainty on sg_p1 = 3.47719 +- 0.127818 (stat) - 0.064005 + 0.129714 (syst); -0.0904489/+0.144603 (total)
-   Uncertainty on sg_p2 = 267.513 +- 8.27292 (stat) - 0.627396 + 2.41961 (syst); -4.18377/+4.79216 (total)
-   Uncertainty on sg_p3 = 34.2369 +- 4.16972 (stat) - 1.17594 + 0.308663 (syst); -2.39363/+2.10758 (total)
-   Uncertainty on sg_p4 = 0.640026 +- 0.047524 (stat) - 0.0119301 + 0.0159351 (syst); -0.0265887/+0.0286105 (total) 
-   === Baseline plot === </br>
-   norm = 191.924
-JEC     lnN   1.01807  -
-JER     lnN   1.02103  -
-btag    lnN   1.06823  -
-sg_p0   param   260.912 -0.165439/+0.125566
-sg_p1   param   3.47719 -0.0904489/+0.144603
-sg_p2   param   267.513  -4.18377/+4.79216
-sg_p3   param   34.2369  -2.39363/+2.10758
-sg_p4   param   0.640026  -0.0265887/+0.0286105 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out
deleted file mode 100644
index 3468290..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0  -0/+0.0117929  (68% CL)
-nll S+B -> -0.00503619  nll B -> -0.00503627
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out
deleted file mode 100644
index e105f63..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.046280:	q_mu = 3.84847	q_A  = 3.84865	CLsb = 0.02490	CLb  = 0.50002	CLs  = 0.04979
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0463
-Expected  2.5%: r < 0.0134
-Expected 16.0%: r < 0.0240
-Expected 50.0%: r < 0.0464
-Expected 84.0%: r < 0.0897
-Expected 97.5%: r < 0.1407
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt
deleted file mode 100644
index eaf4b66..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/datacard_270_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/signal270_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/signal270_sig.log
deleted file mode 100644
index b10d87d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_1_285_624/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
deleted file mode 100644
index b3c451f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 5.81828e-08  -5.81828e-08/+0.356295  (68% CL)
-nll S+B -> -0.173404  nll B -> -0.173403
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
deleted file mode 100644
index b1a59b3..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.807115:	q_mu = 3.88792	q_A  = 3.77514	CLsb = 0.02431	CLb  = 0.48842	CLs  = 0.04976
-
- -- Asymptotic -- 
-Observed Limit: r < 0.8071
-Expected  2.5%: r < 0.3970
-Expected 16.0%: r < 0.5592
-Expected 50.0%: r < 0.8164
-Expected 84.0%: r < 1.1972
-Expected 97.5%: r < 1.6742
-
-Done in 0.09 min (cpu), 0.09 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt
deleted file mode 100644
index 701d69f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/datacard_270_crystal_252_330.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/signal270_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/signal270_sig.log
deleted file mode 100644
index bbd93fb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_crystal_252_330/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
deleted file mode 100644
index cfc719f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 2.49289e-09  -2.49289e-09/+0.375955  (68% CL)
-nll S+B -> -0.045133  nll B -> -0.0451331
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
deleted file mode 100644
index f843098..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.810933:	q_mu = 3.85217	q_A  = 3.83900	CLsb = 0.02484	CLb  = 0.49866	CLs  = 0.04981
-
- -- Asymptotic -- 
-Observed Limit: r < 0.8109
-Expected  2.5%: r < 0.4059
-Expected 16.0%: r < 0.5616
-Expected 50.0%: r < 0.8086
-Expected 84.0%: r < 1.1792
-Expected 97.5%: r < 1.6441
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt
deleted file mode 100644
index 05b68a6..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/datacard_270_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/signal270_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/signal270_sig.log
deleted file mode 100644
index 8555624..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_gaus_exp_252_330/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out
deleted file mode 100644
index 5852c3f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 1.66805e-11  -1.66805e-11/+0.0119094  (68% CL)
-nll S+B -> -0.0632701  nll B -> -0.0632699
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out
deleted file mode 100644
index 16ff3f2..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/CMS_HH4b_270_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.046880:	q_mu = 3.85744	q_A  = 3.82903	CLsb = 0.02476	CLb  = 0.49710	CLs  = 0.04981
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0469
-Expected  2.5%: r < 0.0137
-Expected 16.0%: r < 0.0245
-Expected 50.0%: r < 0.0474
-Expected 84.0%: r < 0.0915
-Expected 97.5%: r < 0.1436
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/datacard_270_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/datacard_270_novo_285_624.txt
deleted file mode 100644
index 8248a5a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/datacard_270_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_270.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  213.048 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06825    -
-JER       lnN     1.01721   - 
-JEC       lnN     1.01241   -
-trigger   lnN     1.10    -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/signal270_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/signal270_sig.log
deleted file mode 100644
index 7226332..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_270_novo_285_624/signal270_sig.log
+++ /dev/null
@@ -1,959 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8392.45 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   2.86291e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.99146e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   2.60544e+02
-   4  sg_p3        7.14818e+01   2.90000e+01  -6.13812e-01   5.50184e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.51376e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=2.79948e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.62655e+02   3.96075e-01   1.63668e-03  -1.71407e-02
-   2  sg_p1        1.50000e+01   3.66501e-02   6.55558e-03** at limit **
-   3  sg_p2        3.32688e+02   1.22425e+01   2.10215e-03   1.48173e-02
-   4  sg_p3        7.88319e+01   7.17424e+00   2.90211e-03   4.51106e-02
-   5  sg_p4        9.12549e-01   1.01971e-02   2.71366e-03   7.36508e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -9.420e-08 -6.520e-02  2.553e-01  2.627e-04 
- -9.420e-08  5.458e-08 -8.702e-06  1.981e-06 -8.254e-09 
- -6.520e-02 -8.702e-06  1.500e+02 -4.987e+01  7.092e-02 
-  2.553e-01  1.981e-06 -4.987e+01  5.153e+01 -2.107e-02 
-  2.627e-04 -8.254e-09  7.092e-02 -2.107e-02  1.041e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13067   1.000 -0.001 -0.013  0.090  0.065
-        2  0.00383  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.70719  -0.013 -0.003  1.000 -0.567  0.568
-        4  0.57426   0.090  0.001 -0.567  1.000 -0.288
-        5  0.57327   0.065 -0.003  0.568 -0.288  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7995.55 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=2.79956e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.62655e+02   3.96099e-01   3.27335e-04  -1.56977e-01
-   2  sg_p1        1.50000e+01   3.66519e-02   1.31112e-03   1.57113e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.32688e+02   1.23641e+01   8.40862e-05   2.43509e-01
-   4  sg_p3        7.88319e+01   7.24309e+00   1.16084e-04  -5.53064e-01
-   5  sg_p4        9.12549e-01   1.02319e-02   5.42731e-04   7.07842e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.569e-01 -2.556e-08 -7.512e-02  2.598e-01  2.581e-04 
- -2.556e-08  5.458e-08 -2.431e-06  5.742e-07 -2.287e-09 
- -7.512e-02 -2.431e-06  1.530e+02 -5.186e+01  7.239e-02 
-  2.598e-01  5.742e-07 -5.186e+01  5.252e+01 -2.206e-02 
-  2.581e-04 -2.287e-09  7.239e-02 -2.206e-02  1.048e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.13113   1.000 -0.000 -0.015  0.090  0.064
-        2  0.00106  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.71407  -0.015 -0.001  1.000 -0.578  0.572
-        4  0.58519   0.090  0.000 -0.578  1.000 -0.297
-        5  0.57724   0.064 -0.001  0.572 -0.297  1.000
-270
-262.655 +- 0.396099
-15 +- 0.0366519
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8301.08 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   1.57276e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.20874e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   1.31136e+02
-   4  sg_p3        6.67985e+01   2.90000e+01  -6.53900e-01   6.21676e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.55343e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=0.000112509    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.63717e+02   4.03328e-01   1.64549e-03   2.85410e-02
-   2  sg_p1        1.50000e+01   4.16874e-02   6.99690e-03** at limit **
-   3  sg_p2        3.26691e+02   1.09550e+01   1.90596e-03  -1.07432e-01
-   4  sg_p3        7.56151e+01   6.41429e+00   2.71105e-03   7.69878e-02
-   5  sg_p4        9.03852e-01   1.08010e-02   2.78869e-03  -3.02927e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.627e-01 -1.817e-07 -1.584e-01  2.985e-01  2.635e-04 
- -1.817e-07  2.669e-07 -1.400e-05  2.491e-06 -1.659e-08 
- -1.584e-01 -1.400e-05  1.201e+02 -3.790e+01  6.574e-02 
-  2.985e-01  2.491e-06 -3.790e+01  4.118e+01 -1.657e-02 
-  2.635e-04 -1.659e-08  6.574e-02 -1.657e-02  1.168e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14787   1.000 -0.001 -0.036  0.115  0.060
-        2  0.00326  -0.001  1.000 -0.002  0.001 -0.003
-        3  0.69527  -0.036 -0.002  1.000 -0.539  0.555
-        4  0.55108   0.115  0.001 -0.539  1.000 -0.239
-        5  0.56440   0.060 -0.003  0.555 -0.239  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7960.31 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=0.000114252    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.63717e+02   4.03375e-01   3.29097e-04  -8.56522e-02
-   2  sg_p1        1.50000e+01   4.16903e-02   1.39938e-03   1.57009e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.26691e+02   1.10364e+01   3.81192e-04   2.19808e-01
-   4  sg_p3        7.56151e+01   6.46046e+00   1.08442e-04  -5.79352e-01
-   5  sg_p4        9.03852e-01   1.08250e-02   5.57738e-04   6.62902e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.628e-01  1.090e-10 -1.678e-01  3.031e-01  2.586e-04 
-  1.090e-10  2.669e-07  8.739e-09 -1.723e-09  1.020e-11 
- -1.678e-01  8.739e-09  1.219e+02 -3.912e+01  6.671e-02 
-  3.031e-01 -1.723e-09 -3.912e+01  4.178e+01 -1.726e-02 
-  2.586e-04  1.020e-11  6.671e-02 -1.726e-02  1.173e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14863   1.000  0.000 -0.038  0.116  0.059
-        2  0.00000   0.000  1.000  0.000 -0.000  0.000
-        3  0.70071  -0.038  0.000  1.000 -0.548  0.558
-        4  0.56000   0.116 -0.000 -0.548  1.000 -0.247
-        5  0.56706   0.059  0.000  0.558 -0.247  1.000
-270
-263.717 +- 0.403375
-15 +- 0.0416903
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8131.38 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.65000e+02   3.00000e+00   0.00000e+00   4.48644e+02
-   2  sg_p1        8.50000e+00   1.30000e+00   0.00000e+00  -7.91305e+02
-   3  sg_p2        2.70000e+02   5.20000e+01   0.00000e+00   3.73822e+02
-   4  sg_p3        6.56628e+01   2.90000e+01  -6.63806e-01   5.24608e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.60990e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM MIGRAD    STATUS=CONVERGED     264 CALLS         265 TOTAL
-                     EDM=1.20255e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.61106e+02   3.97606e-01   1.64949e-03   6.43216e-02
-   2  sg_p1        1.50000e+01   4.40817e-02   7.05863e-03** at limit **
-   3  sg_p2        3.31806e+02   1.18077e+01   2.04938e-03   4.68003e-02
-   4  sg_p3        7.39962e+01   6.87793e+00   2.89900e-03   4.25993e-02
-   5  sg_p4        9.20380e-01   9.82533e-03   2.67537e-03  -4.86834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -4.250e-09  7.358e-02  1.895e-01  3.289e-04 
- -4.250e-09  8.677e-11 -3.111e-07  6.344e-08 -2.998e-10 
-  7.358e-02 -3.111e-07  1.395e+02 -4.404e+01  6.552e-02 
-  1.895e-01  6.344e-08 -4.404e+01  4.736e+01 -1.922e-02 
-  3.289e-04 -2.998e-10  6.552e-02 -1.922e-02  9.663e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12888   1.000 -0.001  0.016  0.069  0.084
-        2  0.00364  -0.001  1.000 -0.003  0.001 -0.003
-        3  0.69043   0.016 -0.003  1.000 -0.542  0.564
-        4  0.54763   0.069  0.001 -0.542  1.000 -0.284
-        5  0.56955   0.084 -0.003  0.564 -0.284  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=7699.77 FROM HESSE     STATUS=OK             31 CALLS         296 TOTAL
-                     EDM=1.20761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.61106e+02   3.97608e-01   3.29897e-04  -2.62628e-01
-   2  sg_p1        1.50000e+01   4.40850e-02   1.41173e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.31806e+02   1.19031e+01   4.09876e-04   2.40013e-01
-   4  sg_p3        7.39962e+01   6.93093e+00   1.15960e-04  -5.92753e-01
-   5  sg_p4        9.20380e-01   9.85509e-03   5.35074e-04   7.49837e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.581e-01 -8.535e-10  6.846e-02  1.911e-01  3.266e-04 
- -8.535e-10  8.678e-11 -6.392e-08  1.351e-08 -6.118e-11 
-  6.846e-02 -6.392e-08  1.418e+02 -4.555e+01  6.667e-02 
-  1.911e-01  1.351e-08 -4.555e+01  4.809e+01 -2.000e-02 
-  3.266e-04 -6.118e-11  6.667e-02 -2.000e-02  9.722e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.12891   1.000 -0.000  0.014  0.069  0.083
-        2  0.00074  -0.000  1.000 -0.001  0.000 -0.001
-        3  0.69646   0.014 -0.001  1.000 -0.552  0.568
-        4  0.55728   0.069  0.000 -0.552  1.000 -0.292
-        5  0.57312   0.083 -0.001  0.568 -0.292  1.000
-270
-261.106 +- 0.397608
-15 +- 0.044085
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6358.39 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.79566e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.50106e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.43645e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.18935e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.12505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=6.55748e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.72165e-01   9.18183e-04   1.47070e-02
-   2  sg_p1        5.07770e+00   1.66247e-01   2.54292e-03  -1.24810e-03
-   3  sg_p2        2.62057e+02   9.37512e+00   1.10376e-03  -2.64630e-02
-   4  sg_p3        4.25329e+01   5.68857e+00   1.50462e-03  -2.35495e-02
-   5  sg_p4        6.46200e-01   3.59740e-02   4.14748e-03   5.84314e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.964e-02 -1.980e-03 -3.797e-01  1.772e-01 -1.311e-03 
- -1.980e-03  2.767e-02  2.898e-01  1.419e-02  2.579e-03 
- -3.797e-01  2.898e-01  8.801e+01 -4.644e+01  2.783e-01 
-  1.772e-01  1.419e-02 -4.644e+01  3.240e+01 -1.232e-01 
- -1.311e-03  2.579e-03  2.783e-01 -1.232e-01  1.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24028   1.000 -0.069 -0.235  0.181 -0.211
-        2  0.54786  -0.069  1.000  0.186  0.015  0.429
-        3  0.94759  -0.235  0.186  1.000 -0.870  0.821
-        4  0.89770   0.181  0.015 -0.870  1.000 -0.599
-        5  0.87941  -0.211  0.429  0.821 -0.599  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6301.03 FROM HESSE     STATUS=OK             31 CALLS         260 TOTAL
-                     EDM=6.88941e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.72924e-01   1.83637e-04   6.77760e-02
-   2  sg_p1        5.07770e+00   1.66149e-01   1.01717e-04   2.59024e-02
-   3  sg_p2        2.62057e+02   1.02016e+01   4.41505e-05   5.05456e-01
-   4  sg_p3        4.25329e+01   6.20016e+00   6.01848e-05  -8.87721e-01
-   5  sg_p4        6.46200e-01   3.77070e-02   1.65899e-04  -4.28163e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.991e-02 -2.057e-03 -4.449e-01  2.178e-01 -1.495e-03 
- -2.057e-03  2.763e-02  3.050e-01  2.707e-03  2.616e-03 
- -4.449e-01  3.050e-01  1.042e+02 -5.647e+01  3.244e-01 
-  2.178e-01  2.707e-03 -5.647e+01  3.850e+01 -1.520e-01 
- -1.495e-03  2.616e-03  3.244e-01 -1.520e-01  1.435e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25688   1.000 -0.072 -0.252  0.203 -0.228
-        2  0.54710  -0.072  1.000  0.180  0.003  0.415
-        3  0.95594  -0.252  0.180  1.000 -0.891  0.839
-        4  0.91467   0.203  0.003 -0.891  1.000 -0.647
-        5  0.89101  -0.228  0.415  0.839 -0.647  1.000
-270
-270.677 +- 0.172924
-5.0777 +- 0.166149
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6365.99 FROM MIGRAD    STATUS=INITIATE       16 CALLS          17 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -3.03648e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61990e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01  -2.65770e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   8.50425e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.31190e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.93407e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70692e+02   1.77044e-01   9.42241e-04   3.84277e-02
-   2  sg_p1        5.17409e+00   1.71536e-01   2.60847e-03  -2.11829e-03
-   3  sg_p2        2.70838e+02   6.84551e+00   1.03343e-03   5.78086e-03
-   4  sg_p3        3.91980e+01   4.62395e+00   1.61118e-03   1.03114e-02
-   5  sg_p4        6.64184e-01   3.27535e-02   3.88817e-03   5.22515e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.135e-02 -1.758e-03 -3.016e-01  1.665e-01 -1.164e-03 
- -1.758e-03  2.946e-02  3.251e-01 -2.221e-02  2.675e-03 
- -3.016e-01  3.251e-01  4.690e+01 -2.546e+01  1.845e-01 
-  1.665e-01 -2.221e-02 -2.546e+01  2.140e+01 -8.613e-02 
- -1.164e-03  2.675e-03  1.845e-01 -8.613e-02  1.080e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24905   1.000 -0.058 -0.249  0.203 -0.200
-        2  0.55757  -0.058  1.000  0.277 -0.028  0.474
-        3  0.91827  -0.249  0.277  1.000 -0.804  0.820
-        4  0.83247   0.203 -0.028 -0.804  1.000 -0.567
-        5  0.86222  -0.200  0.474  0.820 -0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6299.61 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=7.9228e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70692e+02   1.77623e-01   1.88448e-04   6.92275e-02
-   2  sg_p1        5.17409e+00   1.71578e-01   1.04339e-04   5.80618e-02
-   3  sg_p2        2.70838e+02   7.18808e+00   4.13373e-05   5.65345e-01
-   4  sg_p3        3.91980e+01   4.86021e+00   6.44473e-05  -9.25023e-01
-   5  sg_p4        6.64184e-01   3.36636e-02   1.55527e-04  -3.50391e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.155e-02 -1.878e-03 -3.331e-01  1.884e-01 -1.276e-03 
- -1.878e-03  2.947e-02  3.399e-01 -3.425e-02  2.726e-03 
- -3.331e-01  3.399e-01  5.171e+01 -2.882e+01  2.017e-01 
-  1.884e-01 -3.425e-02 -2.882e+01  2.365e+01 -9.825e-02 
- -1.276e-03  2.726e-03  2.017e-01 -9.825e-02  1.141e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26103   1.000 -0.062 -0.261  0.218 -0.213
-        2  0.55787  -0.062  1.000  0.275 -0.041  0.470
-        3  0.92618  -0.261  0.275  1.000 -0.824  0.830
-        4  0.84979   0.218 -0.041 -0.824  1.000 -0.598
-        5  0.87017  -0.213  0.470  0.830 -0.598  1.000
-270
-270.692 +- 0.177623
-5.17409 +- 0.171578
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6100.43 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   0.00000e+00  -1.76480e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   0.00000e+00  -9.50553e+01
-   3  sg_p2        1.79500e+02   3.41000e+01   0.00000e+00  -1.03797e+01
-   4  sg_p3        1.15860e+02   2.90000e+01  -2.73322e-01   1.99528e+00
-   5  sg_p4        7.50000e-01   5.00000e-02   0.00000e+00   1.00751e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM MIGRAD    STATUS=CONVERGED     263 CALLS         264 TOTAL
-                     EDM=9.43817e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70469e+02   1.64489e-01   8.67373e-04   9.78651e-02
-   2  sg_p1        4.85345e+00   1.61763e-01   2.44261e-03   2.33446e-02
-   3  sg_p2        2.42939e+02   1.76038e+01   1.34178e-03  -9.41851e-03
-   4  sg_p3        5.09965e+01   8.69738e+00   1.37274e-03  -8.34558e-03
-   5  sg_p4        6.09562e-01   4.12691e-02   4.72433e-03  -1.03290e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.706e-02 -1.143e-03 -5.339e-01  2.032e-01 -1.240e-03 
- -1.143e-03  2.619e-02  2.008e-01  9.614e-02  2.479e-03 
- -5.339e-01  2.008e-01  3.112e+02 -1.431e+02  5.930e-01 
-  2.032e-01  9.614e-02 -1.431e+02  7.583e+01 -2.285e-01 
- -1.240e-03  2.479e-03  5.930e-01 -2.285e-01  1.726e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20148   1.000 -0.043 -0.184  0.142 -0.181
-        2  0.54100  -0.043  1.000  0.070  0.068  0.369
-        3  0.97454  -0.184  0.070  1.000 -0.932  0.809
-        4  0.95515   0.142  0.068 -0.932  1.000 -0.632
-        5  0.89940  -0.181  0.369  0.809 -0.632  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6063.49 FROM HESSE     STATUS=OK             31 CALLS         295 TOTAL
-                     EDM=1.17248e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70469e+02   1.65601e-01   1.73475e-04   4.69431e-02
-   2  sg_p1        4.85345e+00   1.61522e-01   4.88521e-04  -4.88702e-02
-   3  sg_p2        2.42939e+02   2.15740e+01   5.36712e-05   3.81246e-01
-   4  sg_p3        5.09965e+01   1.06929e+01   5.49095e-05  -7.99870e-01
-   5  sg_p4        6.09562e-01   4.63125e-02   1.88973e-04  -5.96502e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.743e-02 -1.089e-03 -7.748e-01  3.240e-01 -1.649e-03 
- -1.089e-03  2.611e-02  1.620e-01  1.121e-01  2.395e-03 
- -7.748e-01  1.620e-01  4.683e+02 -2.215e+02  8.616e-01 
-  3.240e-01  1.121e-01 -2.215e+02  1.148e+02 -3.632e-01 
- -1.649e-03  2.395e-03  8.616e-01 -3.632e-01  2.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23115   1.000 -0.041 -0.216  0.183 -0.213
-        2  0.53904  -0.041  1.000  0.046  0.065  0.317
-        3  0.98316  -0.216  0.046  1.000 -0.955  0.852
-        4  0.97060   0.183  0.065 -0.955  1.000 -0.726
-        5  0.92131  -0.213  0.317  0.852 -0.726  1.000
-270
-270.469 +- 0.165601
-4.85345 +- 0.161522
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6207.91 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.64216e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.71360e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   4.14298e-01
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.11372e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.18895e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM MIGRAD    STATUS=CONVERGED     215 CALLS         216 TOTAL
-                     EDM=6.61513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70656e+02   1.81990e-01   9.51015e-04   2.93883e-01
-   2  sg_p1        5.20924e+00   1.80376e-01   2.66180e-03   1.75576e-02
-   3  sg_p2        2.64216e+02   9.79599e+00   1.09853e-03   2.68338e-01
-   4  sg_p3        4.19600e+01   6.09659e+00   1.54906e-03  -8.69463e-02
-   5  sg_p4        6.49014e-01   3.85333e-02   4.14029e-03  -7.85398e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.312e-02 -1.986e-03 -4.776e-01 -2.455e-01 -1.622e-03 
- -1.986e-03  3.258e-02  3.816e-01  8.852e-03  3.179e-03 
- -4.776e-01  3.816e-01  9.610e+01  5.251e+01  3.182e-01 
- -2.455e-01  8.852e-03  5.251e+01  3.722e+01  1.487e-01 
- -1.622e-03  3.179e-03  3.182e-01  1.487e-01  1.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26944   1.000 -0.060 -0.268 -0.221 -0.230
-        2  0.57936  -0.060  1.000  0.216  0.008  0.455
-        3  0.95227  -0.268  0.216  1.000  0.878  0.838
-        4  0.90487  -0.221  0.008  0.878  1.000  0.630
-        5  0.89253  -0.230  0.455  0.838  0.630  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6146.33 FROM HESSE     STATUS=OK             31 CALLS         247 TOTAL
-                     EDM=6.61792e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70656e+02   1.81849e-01   1.90203e-04   6.56339e-02
-   2  sg_p1        5.20924e+00   1.80330e-01   1.06472e-04   6.98019e-02
-   3  sg_p2        2.64216e+02   9.67079e+00   2.19705e-04   5.19985e-01
-   4  sg_p3        4.19600e+01   6.02003e+00   6.19622e-05  -2.24759e+00
-   5  sg_p4        6.49014e-01   3.82479e-02   8.28058e-04  -4.15825e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.307e-02 -1.974e-03 -4.664e-01 -2.386e-01 -1.589e-03 
- -1.974e-03  3.256e-02  3.740e-01  4.110e-03  3.157e-03 
- -4.664e-01  3.740e-01  9.366e+01  5.099e+01  3.108e-01 
- -2.386e-01  4.110e-03  5.099e+01  3.629e+01  1.442e-01 
- -1.589e-03  3.157e-03  3.108e-01  1.442e-01  1.477e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26676   1.000 -0.060 -0.265 -0.218 -0.227
-        2  0.57907  -0.060  1.000  0.214  0.004  0.455
-        3  0.95099  -0.265  0.214  1.000  0.875  0.836
-        4  0.90230  -0.218  0.004  0.875  1.000  0.623
-        5  0.89080  -0.227  0.455  0.836  0.623  1.000
-270
-270.656 +- 0.181849
-5.20924 +- 0.18033
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6345.12 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.76463e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.12933e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.61677e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.12497e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.04922e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05988 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (9513.77) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=269.51, sg_p1=3.81892, sg_p2=26.0784, sg_p3=20.4464, sg_p4=0.504154
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 4.16274e-06/9.57261,signalComb = 6.90752e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.000152629/9.57261,signalComb = 1.36531e-27/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.00301916/9.57261,signalComb = 2.64114e-28/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.0322202/9.57261,signalComb = 5.00036e-29/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.185509/9.57261,signalComb = 9.26534e-30/0), !coefficients=(sg_p4 = 0.504154)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.576226/9.57261,signalComb = 1.68024e-30/0), !coefficients=(sg_p4 = 0.504154)
-    ... (remaining 58 messages suppressed)
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=26.0784, sigma=sg_p3=20.4464
-    ... (remaining 24 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 269.51,sg_p1 = 3.81892,sg_p2 = 26.0784,sg_p3 = 20.4464,sg_p4 = 0.504154)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=6.90752e-27/0, !sumCat=()
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM MIGRAD    STATUS=CONVERGED     426 CALLS         427 TOTAL
-                     EDM=1.36563e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70665e+02   1.63477e-01   8.78610e-04   2.15233e-02
-   2  sg_p1        4.89880e+00   1.57011e-01   2.44680e-03   2.25239e-02
-   3  sg_p2        2.54654e+02   1.25915e+01   1.24303e-03   5.47392e-03
-   4  sg_p3        4.70832e+01   7.17725e+00   1.51317e-03   2.13001e-03
-   5  sg_p4        6.29901e-01   3.72328e-02   4.32749e-03  -5.67064e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.673e-02 -8.488e-04 -4.087e-01  1.835e-01 -1.095e-03 
- -8.488e-04  2.467e-02  2.172e-01  5.764e-02  2.181e-03 
- -4.087e-01  2.172e-01  1.589e+02 -8.190e+01  3.873e-01 
-  1.835e-01  5.764e-02 -8.190e+01  5.161e+01 -1.691e-01 
- -1.095e-03  2.181e-03  3.873e-01 -1.691e-01  1.400e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.20590   1.000 -0.033 -0.198  0.156 -0.179
-        2  0.52321  -0.033  1.000  0.110  0.051  0.371
-        3  0.96127  -0.198  0.110  1.000 -0.904  0.821
-        4  0.92824   0.156  0.051 -0.904  1.000 -0.629
-        5  0.88645  -0.179  0.371  0.821 -0.629  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6295.95 FROM HESSE     STATUS=OK             31 CALLS         458 TOTAL
-                     EDM=1.44185e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70665e+02   1.64298e-01   1.75722e-04   6.65783e-02
-   2  sg_p1        4.89880e+00   1.56830e-01   4.89360e-04  -3.37402e-02
-   3  sg_p2        2.54654e+02   1.43586e+01   4.97213e-05   4.56472e-01
-   4  sg_p3        4.70832e+01   8.20025e+00   6.05269e-05  -7.12260e+00
-   5  sg_p4        6.29901e-01   4.01552e-02   1.73099e-04  -5.01104e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.700e-02 -8.623e-04 -5.225e-01  2.494e-01 -1.344e-03 
- -8.623e-04  2.462e-02  2.174e-01  5.502e-02  2.172e-03 
- -5.225e-01  2.174e-01  2.068e+02 -1.095e+02  4.928e-01 
-  2.494e-01  5.502e-02 -1.095e+02  6.741e+01 -2.303e-01 
- -1.344e-03  2.172e-03  4.928e-01 -2.303e-01  1.631e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22790   1.000 -0.033 -0.221  0.185 -0.203
-        2  0.52160  -0.033  1.000  0.096  0.043  0.343
-        3  0.97037  -0.221  0.096  1.000 -0.928  0.849
-        4  0.94554   0.185  0.043 -0.928  1.000 -0.695
-        5  0.90340  -0.203  0.343  0.849 -0.695  1.000
-270
-270.665 +- 0.164298
-4.8988 +- 0.15683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=5935.06 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.61773e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.38965e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.59791e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.10752e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.03362e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.28866 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.549, sg_p1=2.86401, sg_p2=114.179, sg_p3=10.3302, sg_p4=0.609584
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=114.179, sigma=sg_p3=10.3302
-    ... (remaining 24 messages suppressed)
-
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.08701 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (10056.7) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=272.29, sg_p1=6.01777, sg_p2=84.8692, sg_p3=12.3721, sg_p4=0.588994
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=250.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=253.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=256.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=259.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=262.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=265.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=268.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=271.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=274.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=277.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=280.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-     p.d.f normalization integral is zero or negative @ x=x=283.5, mean=sg_p2=84.8692, sigma=sg_p3=12.3721
-    ... (remaining 24 messages suppressed)
-RooAddPdf::signal[ sg_p4 * signalCore + [%] * signalComb ]
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 250.5), !pdfs=(signalCore = 0.00142225/15.0827,signalComb = 1.20756e-39/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 253.5), !pdfs=(signalCore = 0.00763766/15.0827,signalComb = 4.56383e-41/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 256.5), !pdfs=(signalCore = 0.0319897/15.0827,signalComb = 1.62635e-42/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 259.5), !pdfs=(signalCore = 0.104502/15.0827,signalComb = 5.46463e-44/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 262.5), !pdfs=(signalCore = 0.266262/15.0827,signalComb = 1.7313e-45/0), !coefficients=(sg_p4 = 0.588994)
-     p.d.f value is Not-a-Number (-nan), forcing value to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 265.5), !pdfs=(signalCore = 0.529127/15.0827,signalComb = 5.17191e-47/0), !coefficients=(sg_p4 = 0.588994)
-    ... (remaining 58 messages suppressed)
-RooNLLVar::nll_signal_signalHistogram[ paramSet=(sg_p0,sg_p1,sg_p2,sg_p3,sg_p4) ]
-     function value is NAN @ paramSet=(sg_p0 = 272.29,sg_p1 = 6.01777,sg_p2 = 84.8692,sg_p3 = 12.3721,sg_p4 = 0.588994)
-RooRealIntegral::signalComb_Int[x|NormalizationRangeForfit]_Norm[x][ Int signalComb_Norm(x) d[Ana](x) ]
-     function value is NAN @ !sumList=(), !intList=(), !anaList=(x = 250.5), !jacList=(), !facList=(), !func=signalComb=1.20756e-39/0, !sumCat=()
-
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.5154e-01  8.8570e-03  4.2097e-01  8.1972e-01  4.5020e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.756042 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM MIGRAD    STATUS=CONVERGED     478 CALLS         479 TOTAL
-                     EDM=5.04966e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70677e+02   1.77765e-01   9.15542e-04   3.54204e-02
-   2  sg_p1        5.07405e+00   1.71518e-01   2.53252e-03  -1.40075e-03
-   3  sg_p2        2.62185e+02   9.60022e+00   1.09335e-03   9.09533e-02
-   4  sg_p3        4.23182e+01   5.82557e+00   1.49714e-03   7.35079e-02
-   5  sg_p4        6.47917e-01   3.70971e-02   4.11649e-03  -7.98184e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.160e-02 -2.097e-03 -4.013e-01  1.872e-01 -1.393e-03 
- -2.097e-03  2.945e-02  3.055e-01  1.580e-02  2.743e-03 
- -4.013e-01  3.055e-01  9.229e+01 -4.866e+01  2.937e-01 
-  1.872e-01  1.580e-02 -4.866e+01  3.398e+01 -1.298e-01 
- -1.393e-03  2.743e-03  2.937e-01 -1.298e-01  1.388e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24009   1.000 -0.069 -0.235  0.181 -0.210
-        2  0.54730  -0.069  1.000  0.185  0.016  0.429
-        3  0.94713  -0.235  0.185  1.000 -0.869  0.821
-        4  0.89685   0.181  0.016 -0.869  1.000 -0.598
-        5  0.87877  -0.210  0.429  0.821 -0.598  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=5882.02 FROM HESSE     STATUS=OK             31 CALLS         510 TOTAL
-                     EDM=5.00987e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70677e+02   1.78459e-01   1.83108e-04   6.77551e-02
-   2  sg_p1        5.07405e+00   1.71428e-01   1.01301e-04   2.46861e-02
-   3  sg_p2        2.62185e+02   1.03547e+01   2.18670e-04   5.06313e-01
-   4  sg_p3        4.23182e+01   6.29339e+00   5.98854e-05  -8.90070e-01
-   5  sg_p4        6.47917e-01   3.86762e-02   1.64659e-04  -4.20625e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.185e-02 -2.170e-03 -4.624e-01  2.253e-01 -1.567e-03 
- -2.170e-03  2.942e-02  3.193e-01  5.301e-03  2.776e-03 
- -4.624e-01  3.193e-01  1.074e+02 -5.800e+01  3.368e-01 
-  2.253e-01  5.301e-03 -5.800e+01  3.967e+01 -1.567e-01 
- -1.567e-03  2.776e-03  3.368e-01 -1.567e-01  1.510e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25486   1.000 -0.071 -0.250  0.200 -0.226
-        2  0.54662  -0.071  1.000  0.180  0.005  0.416
-        3  0.95474  -0.250  0.180  1.000 -0.889  0.836
-        4  0.91235   0.200  0.005 -0.889  1.000 -0.640
-        5  0.88917  -0.226  0.416  0.836 -0.640  1.000
-270
-270.677 +- 0.178459
-5.07405 +- 0.171428
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=6803.83 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70000e+02   2.00000e+00   2.01358e-01  -2.98256e+02
-   2  sg_p1        5.00000e+00   6.00000e-01   2.01358e-01  -1.61883e+02
-   3  sg_p2        1.79500e+02   3.41000e+01   2.01358e-01   1.25354e+00
-   4  sg_p3        1.55000e+02   2.90000e+01   2.01358e-01   1.25340e+01
-   5  sg_p4        7.50000e-01   5.00000e-02   2.01358e-01   1.22208e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=5.61336e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.70678e+02   1.67660e-01   9.20230e-04   6.43100e-02
-   2  sg_p1        5.08061e+00   1.61195e-01   2.54959e-03  -4.59615e-02
-   3  sg_p2        2.61887e+02   1.01188e+01   1.11479e-03   1.73033e-01
-   4  sg_p3        4.27760e+01   6.14640e+00   1.50758e-03  -1.30340e-01
-   5  sg_p4        6.44308e-01   3.69099e-02   4.17152e-03  -5.60004e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.811e-02 -1.952e-03 -4.320e-01 -2.124e-01 -1.437e-03 
- -1.952e-03  2.601e-02  2.973e-01  2.175e-03  2.487e-03 
- -4.320e-01  2.973e-01  1.025e+02  5.575e+01  3.161e-01 
- -2.124e-01  2.175e-03  5.575e+01  3.783e+01  1.492e-01 
- -1.437e-03  2.487e-03  3.161e-01  1.492e-01  1.375e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25937   1.000 -0.072 -0.254 -0.206 -0.231
-        2  0.54843  -0.072  1.000  0.182  0.002  0.416
-        3  0.95754  -0.254  0.182  1.000  0.895  0.842
-        4  0.91772  -0.206  0.002  0.895  1.000  0.654
-        5  0.89354  -0.231  0.416  0.842  0.654  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=6741.9 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=5.55033e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.70678e+02   1.67525e-01   1.84046e-04   6.78347e-02
-   2  sg_p1        5.08061e+00   1.61130e-01   5.09917e-04   2.68728e-02
-   3  sg_p2        2.61887e+02   9.96431e+00   2.22958e-04   5.04317e-01
-   4  sg_p3        4.27760e+01   6.05400e+00   6.03031e-05  -2.25652e+00
-   5  sg_p4        6.44308e-01   3.65699e-02   8.34304e-04  -4.36497e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.807e-02 -1.942e-03 -4.201e-01 -2.053e-01 -1.403e-03 
- -1.942e-03  2.599e-02  2.900e-01 -2.123e-03  2.465e-03 
- -4.201e-01  2.900e-01  9.944e+01  5.387e+01  3.073e-01 
- -2.053e-01 -2.123e-03  5.387e+01  3.670e+01  1.439e-01 
- -1.403e-03  2.465e-03  3.073e-01  1.439e-01  1.349e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25646   1.000 -0.072 -0.251 -0.202 -0.228
-        2  0.54791  -0.072  1.000  0.180 -0.002  0.416
-        3  0.95619  -0.251  0.180  1.000  0.892  0.839
-        4  0.91507  -0.202 -0.002  0.892  1.000  0.647
-        5  0.89141  -0.228  0.416  0.839  0.647  1.000
-270
-270.678 +- 0.167525
-5.08061 +- 0.16113
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 270.677 +- 0.172924 (stat) - 0.207983 + 0.0144814 (syst); -0.225239/+0.0876663 (total)
-   Uncertainty on sg_p1 = 5.0777 +- 0.166149 (stat) - 0.224251 + 0.131537 (syst); -0.239144/+0.155575 (total)
-   Uncertainty on sg_p2 = 262.057 +- 10.2016 (stat) - 19.1181 + 8.78082 (syst); -19.7868/+10.1549 (total)
-   Uncertainty on sg_p3 = 42.5329 +- 6.20016 (stat) - 3.33491 + 8.46362 (syst); -4.55325/+9.01351 (total)
-   Uncertainty on sg_p4 = 0.6462 +- 0.037707 (stat) - 0.0366379 + 0.017984 (syst); -0.0412043/+0.0260553 (total) 
-   === Baseline plot === </br>
-   norm = 213.048
-JEC     lnN   1.01241  -
-JER     lnN   1.01721  -
-btag    lnN   1.06825  -
-sg_p0   param   270.677 -0.225239/+0.0876663
-sg_p1   param   5.0777 -0.239144/+0.155575
-sg_p2   param   262.057  -19.7868/+10.1549
-sg_p3   param   42.5329  -4.55325/+9.01351
-sg_p4   param   0.6462  -0.0412043/+0.0260553 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out
deleted file mode 100644
index ba12bde..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0454657  -0.0454657/+0.30259  (68% CL)
-nll S+B -> -0.0164862  nll B -> -0.00503627
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out
deleted file mode 100644
index ea0e821..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.655980:	q_mu = 3.83290	q_A  = 3.84275	CLsb = 0.02513	CLb  = 0.50100	CLs  = 0.05016
-
- -- Asymptotic -- 
-Observed Limit: r < 0.6560
-Expected  2.5%: r < 0.3693
-Expected 16.0%: r < 0.4784
-Expected 50.0%: r < 0.6543
-Expected 84.0%: r < 0.9177
-Expected 97.5%: r < 1.2485
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt
deleted file mode 100644
index 7be44c6..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/datacard_300_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/signal300_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_1_285_624/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
deleted file mode 100644
index 389ca68..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0054031  -0.0054031/+0.291118  (68% CL)
-nll S+B -> -0.173579  nll B -> -0.173404
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
deleted file mode 100644
index fa71f62..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.596222:	q_mu = 3.86365	q_A  = 3.82776	CLsb = 0.02467	CLb  = 0.49634	CLs  = 0.04970
-
- -- Asymptotic -- 
-Observed Limit: r < 0.5962
-Expected  2.5%: r < 0.3200
-Expected 16.0%: r < 0.4266
-Expected 50.0%: r < 0.5957
-Expected 84.0%: r < 0.8498
-Expected 97.5%: r < 1.1766
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt
deleted file mode 100644
index 95360f0..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/datacard_300_crystal_252_330.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/signal300_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_crystal_252_330/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
deleted file mode 100644
index 6ff4a6c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 1.69791e-06  -1.69791e-06/+0.274733  (68% CL)
-nll S+B -> -0.0451331  nll B -> -0.0451332
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
deleted file mode 100644
index 444ad85..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.558866:	q_mu = 3.84404	q_A  = 3.84890	CLsb = 0.02496	CLb  = 0.50049	CLs  = 0.04987
-
- -- Asymptotic -- 
-Observed Limit: r < 0.5589
-Expected  2.5%: r < 0.2946
-Expected 16.0%: r < 0.3960
-Expected 50.0%: r < 0.5566
-Expected 84.0%: r < 0.7985
-Expected 97.5%: r < 1.1094
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt
deleted file mode 100644
index e0684c6..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/datacard_300_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/signal300_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_gaus_exp_252_330/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out
deleted file mode 100644
index a94e2ff..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0403061  -0.0403061/+0.297241  (68% CL)
-nll S+B -> -0.0727439  nll B -> -0.06327
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out
deleted file mode 100644
index f8d2e24..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/CMS_HH4b_300_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.645008:	q_mu = 3.88502	q_A  = 3.73577	CLsb = 0.02434	CLb  = 0.48460	CLs  = 0.05022
-
- -- Asymptotic -- 
-Observed Limit: r < 0.6450
-Expected  2.5%: r < 0.3693
-Expected 16.0%: r < 0.4784
-Expected 50.0%: r < 0.6543
-Expected 84.0%: r < 0.9125
-Expected 97.5%: r < 1.2449
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt
deleted file mode 100644
index 4007fed..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/datacard_300_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_300.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  304.126 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06837    -
-JER       lnN     1.02029   - 
-JEC       lnN     1.00496   -
-trigger   lnN     1.10    -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/signal300_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/signal300_sig.log
deleted file mode 100644
index e692189..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_300_novo_285_624/signal300_sig.log
+++ /dev/null
@@ -1,859 +0,0 @@
-
-Processing test.c...
-nSignal_init = 292400
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11139.4 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   3.99147e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   5.36454e+01
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.03573e+02
-   4  sg_p3        2.15253e+01   1.20000e+01  -9.40600e-01  -5.65980e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.37474e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM MIGRAD    STATUS=CONVERGED     401 CALLS         402 TOTAL
-                     EDM=5.6187e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.88323e+02   4.47990e-01   9.04940e-04   1.11533e-01
-   2  sg_p1        2.05573e+01   3.30978e-01   1.55295e-03  -5.38166e-02
-   3  sg_p2        3.60000e+02   7.01972e+00   3.68073e-02** at limit **
-   4  sg_p3        3.31232e+01   1.31185e+01   9.89999e-03   1.11043e-02
-   5  sg_p4        9.64843e-01   1.04001e-02   1.95930e-03   4.50763e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.007e-01  1.739e-02 -1.190e-04 -7.889e-01  9.394e-04 
-  1.739e-02  1.096e-01 -6.312e-05 -5.744e-02  4.186e-04 
- -1.190e-04 -6.312e-05  9.525e-05  8.817e-03 -7.777e-06 
- -7.889e-01 -5.744e-02  8.817e-03  1.767e+02 -1.200e-01 
-  9.394e-04  4.186e-04 -7.777e-06 -1.200e-01  1.083e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23279   1.000  0.117 -0.027 -0.132  0.202
-        2  0.23564   0.117  1.000 -0.020 -0.013  0.122
-        3  0.07829  -0.027 -0.020  1.000  0.068 -0.077
-        4  0.87296  -0.132 -0.013  0.068  1.000 -0.867
-        5  0.87761   0.202  0.122 -0.077 -0.867  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983.2 FROM HESSE     STATUS=OK             31 CALLS         433 TOTAL
-                     EDM=5.61214e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.88323e+02   4.48511e-01   1.80988e-04   9.50767e-02
-   2  sg_p1        2.05573e+01   3.30912e-01   6.21181e-05   3.71642e-02
-   3  sg_p2        3.60000e+02   7.00510e+00   7.36146e-03   1.57114e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.31232e+01   1.34621e+01   3.96000e-04  -6.61896e-01
-   5  sg_p4        9.64843e-01   1.06761e-02   3.91861e-04   1.19356e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.012e-01  1.735e-02 -2.672e-05 -8.721e-01  9.990e-04 
-  1.735e-02  1.095e-01 -1.383e-05 -7.606e-02  4.303e-04 
- -2.672e-05 -1.383e-05  9.505e-05  2.045e-03 -1.786e-06 
- -8.721e-01 -7.606e-02  2.045e-03  1.863e+02 -1.276e-01 
-  9.990e-04  4.303e-04 -1.786e-06 -1.276e-01  1.141e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23747   1.000  0.117 -0.006 -0.142  0.209
-        2  0.23484   0.117  1.000 -0.004 -0.017  0.122
-        3  0.01751  -0.006 -0.004  1.000  0.015 -0.017
-        4  0.87999  -0.142 -0.017  0.015  1.000 -0.875
-        5  0.88427   0.209  0.122 -0.017 -0.875  1.000
-300
-288.323 +- 0.448511
-20.5573 +- 0.330912
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11021.8 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00  -1.23228e+01
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.69370e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   3.59937e+02
-   4  sg_p3        2.91405e+01   1.20000e+01  -7.49116e-01   1.62870e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.88730e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM MIGRAD    STATUS=CONVERGED     404 CALLS         405 TOTAL
-                     EDM=7.36709e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.89695e+02   4.48479e-01   9.08525e-04  -1.63756e-02
-   2  sg_p1        2.04912e+01   3.33789e-01   1.55841e-03   3.48244e-02
-   3  sg_p2        3.60000e+02   5.29130e+00   3.12243e-02** at limit **
-   4  sg_p3        2.52611e+01   5.98773e+00   7.97733e-03   1.66965e-02
-   5  sg_p4        9.65128e-01   6.44706e-03   1.81806e-03   6.25824e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.895e-02 -2.334e-04 -3.465e-01  6.114e-04 
-  1.895e-02  1.114e-01 -1.530e-04 -6.771e-02  4.120e-04 
- -2.334e-04 -1.530e-04  2.973e-04  6.759e-03 -8.288e-06 
- -3.465e-01 -6.771e-02  6.759e-03  3.612e+01 -2.585e-02 
-  6.114e-04  4.120e-04 -8.288e-06 -2.585e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22936   1.000  0.127 -0.030 -0.129  0.211
-        2  0.24516   0.127  1.000 -0.027 -0.034  0.191
-        3  0.08010  -0.030 -0.027  1.000  0.065 -0.075
-        4  0.67399  -0.129 -0.034  0.065  1.000 -0.667
-        5  0.69669   0.211  0.191 -0.075 -0.667  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10926.7 FROM HESSE     STATUS=OK             31 CALLS         436 TOTAL
-                     EDM=7.38964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.89695e+02   4.48441e-01   1.81705e-04   1.34553e-01
-   2  sg_p1        2.04912e+01   3.33683e-01   6.23363e-05   3.27513e-02
-   3  sg_p2        3.60000e+02   5.29001e+00   6.24486e-03   1.57151e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        2.52611e+01   5.99008e+00   3.19093e-04  -8.41506e-01
-   5  sg_p4        9.65128e-01   6.44684e-03   3.63611e-04   1.19511e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.011e-01  1.882e-02 -5.556e-05 -3.514e-01  6.128e-04 
-  1.882e-02  1.114e-01 -3.636e-05 -7.207e-02  4.132e-04 
- -5.556e-05 -3.636e-05  2.972e-04  1.629e-03 -1.980e-06 
- -3.514e-01 -7.207e-02  1.629e-03  3.615e+01 -2.589e-02 
-  6.128e-04  4.132e-04 -1.980e-06 -2.589e-02  4.158e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22901   1.000  0.126 -0.007 -0.130  0.212
-        2  0.24394   0.126  1.000 -0.006 -0.036  0.192
-        3  0.01917  -0.007 -0.006  1.000  0.016 -0.018
-        4  0.67426  -0.130 -0.036  0.016  1.000 -0.668
-        5  0.69667   0.212  0.192 -0.018 -0.668  1.000
-300
-289.695 +- 0.448441
-20.4912 +- 0.333683
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10998.6 FROM MIGRAD    STATUS=INITIATE       44 CALLS          45 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.85000e+02   7.00000e+00   0.00000e+00   1.82292e+02
-   2  sg_p1        2.00000e+01   3.00000e+00   0.00000e+00   1.71874e+02
-   3  sg_p2        3.05000e+02   1.10000e+01   0.00000e+00   5.32975e+02
-   4  sg_p3        3.07762e+01   1.20000e+01  -7.12504e-01   9.72386e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -2.81076e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM MIGRAD    STATUS=CONVERGED     443 CALLS         444 TOTAL
-                     EDM=4.98868e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        2.86897e+02   4.50384e-01   9.00651e-04  -4.42030e-02
-   2  sg_p1        2.05381e+01   3.30444e-01   1.54851e-03  -1.71904e-02
-   3  sg_p2        3.60000e+02   4.58768e+00   2.94940e-02** at limit **
-   4  sg_p3        3.22720e+01   1.23522e+01   9.50923e-03   1.52629e-02
-   5  sg_p4        9.64411e-01   1.01122e-02   1.90336e-03   6.66364e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.029e-01  1.643e-02 -6.905e-05 -9.258e-01  1.002e-03 
-  1.643e-02  1.092e-01 -3.441e-05 -1.687e-01  4.515e-04 
- -6.905e-05 -3.441e-05  5.485e-05  5.168e-03 -4.433e-06 
- -9.258e-01 -1.687e-01  5.168e-03  1.563e+02 -1.096e-01 
-  1.002e-03  4.515e-04 -4.433e-06 -1.096e-01  1.024e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23805   1.000  0.110 -0.021 -0.164  0.220
-        2  0.21706   0.110  1.000 -0.014 -0.041  0.135
-        3  0.06085  -0.021 -0.014  1.000  0.056 -0.059
-        4  0.87005  -0.164 -0.041  0.056  1.000 -0.866
-        5  0.87483   0.220  0.135 -0.059 -0.866  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10857.4 FROM HESSE     STATUS=OK             31 CALLS         475 TOTAL
-                     EDM=4.96344e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        2.86897e+02   4.51095e-01   1.80130e-04   5.42398e-02
-   2  sg_p1        2.05381e+01   3.30465e-01   6.19404e-05   3.58796e-02
-   3  sg_p2        3.60000e+02   4.57970e+00   5.89879e-03   1.57112e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        3.22720e+01   1.26301e+01   3.80369e-04  -6.80009e-01
-   5  sg_p4        9.64411e-01   1.03457e-02   3.80673e-04   1.19122e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.035e-01  1.650e-02 -1.576e-05 -1.005e+00  1.062e-03 
-  1.650e-02  1.092e-01 -7.711e-06 -1.941e-01  4.695e-04 
- -1.576e-05 -7.711e-06  5.475e-05  1.202e-03 -1.025e-06 
- -1.005e+00 -1.941e-01  1.202e-03  1.636e+02 -1.156e-01 
-  1.062e-03  4.695e-04 -1.025e-06 -1.156e-01  1.071e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24421   1.000  0.111 -0.005 -0.174  0.227
-        2  0.21733   0.111  1.000 -0.003 -0.046  0.137
-        3  0.01376  -0.005 -0.003  1.000  0.013 -0.013
-        4  0.87625  -0.174 -0.046  0.013  1.000 -0.873
-        5  0.88081   0.227  0.137 -0.013 -0.873  1.000
-300
-286.897 +- 0.451095
-20.5381 +- 0.330465
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9427.95 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.31464e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.82382e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.05976e+00
-   4  sg_p3        5.43313e+01   1.20000e+01  -2.64207e-01   7.00043e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45220e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM MIGRAD    STATUS=CONVERGED     229 CALLS         230 TOTAL
-                     EDM=6.66547e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00807e+02   2.06875e-01   9.24958e-04  -7.84006e-02
-   2  sg_p1        6.67548e+00   2.20836e-01   5.66581e-03  -4.55276e-03
-   3  sg_p2        2.86348e+02   3.69244e+00   1.62590e-03  -1.80856e-01
-   4  sg_p3        3.70116e+01   4.47529e+00   3.25190e-03  -7.94138e-02
-   5  sg_p4        6.46423e-01   1.60401e-02   1.99112e-03  -2.02931e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.280e-02 -6.675e-03  3.606e-02 -1.464e-01 -2.452e-04 
- -6.675e-03  4.897e-02 -3.892e-01  5.095e-01  1.306e-03 
-  3.606e-02 -3.892e-01  1.364e+01 -1.331e+01 -4.368e-04 
- -1.464e-01  5.095e-01 -1.331e+01  2.008e+01 -1.514e-03 
- -2.452e-04  1.306e-03 -4.368e-04 -1.514e-03  2.574e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23172   1.000 -0.146  0.047 -0.158 -0.074
-        2  0.64662  -0.146  1.000 -0.476  0.514  0.368
-        3  0.81187   0.047 -0.476  1.000 -0.804 -0.007
-        4  0.82962  -0.158  0.514 -0.804  1.000 -0.021
-        5  0.44432  -0.074  0.368 -0.007 -0.021  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9204.59 FROM HESSE     STATUS=OK             31 CALLS         261 TOTAL
-                     EDM=6.65624e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00807e+02   2.07041e-01   1.84992e-04  -2.83282e-01
-   2  sg_p1        6.67548e+00   2.24150e-01   2.26632e-04  -1.62980e-01
-   3  sg_p2        2.86348e+02   3.84665e+00   3.25179e-04   2.97108e-01
-   4  sg_p3        3.70116e+01   4.66245e+00   1.30076e-04  -5.82134e-01
-   5  sg_p4        6.46423e-01   1.60428e-02   3.98224e-04   2.97202e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.287e-02 -7.031e-03  4.534e-02 -1.570e-01 -2.475e-04 
- -7.031e-03  5.046e-02 -4.308e-01  5.599e-01  1.315e-03 
-  4.534e-02 -4.308e-01  1.481e+01 -1.475e+01 -6.186e-04 
- -1.570e-01  5.599e-01 -1.475e+01  2.180e+01 -1.240e-03 
- -2.475e-04  1.315e-03 -6.186e-04 -1.240e-03  2.575e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23496   1.000 -0.151  0.057 -0.162 -0.074
-        2  0.65975  -0.151  1.000 -0.498  0.534  0.365
-        3  0.82821   0.057 -0.498  1.000 -0.821 -0.010
-        4  0.84430  -0.162  0.534 -0.821  1.000 -0.017
-        5  0.44463  -0.074  0.365 -0.010 -0.017  1.000
-300
-300.807 +- 0.207041
-6.67548 +- 0.22415
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9324.05 FROM MIGRAD    STATUS=INITIATE       18 CALLS          19 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.26986e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.26570e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   1.80651e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   1.95490e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.28150e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 11.1802 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2302e+00  1.0000e+00  1.0003e+00  1.0996e+00  3.1303e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.233367 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM MIGRAD    STATUS=CONVERGED     289 CALLS         290 TOTAL
-                     EDM=5.54375e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00989e+02   2.12814e-01   9.43941e-04  -9.14080e-04
-   2  sg_p1        6.53035e+00   2.40800e-01   5.98084e-03   4.80647e-03
-   3  sg_p2        2.93079e+02   2.00891e+00   1.26510e-03   8.67004e-03
-   4  sg_p3        3.22426e+01   3.06970e+00   3.13614e-03   5.39262e-03
-   5  sg_p4        6.37280e-01   1.82444e-02   2.01579e-03  -9.05889e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.529e-02 -7.391e-03 -1.667e-02 -9.633e-02 -4.577e-04 
- -7.391e-03  5.828e-02 -1.840e-01  4.072e-01  2.575e-03 
- -1.667e-02 -1.840e-01  4.036e+00 -3.579e+00 -1.048e-02 
- -9.633e-02  4.072e-01 -3.579e+00  9.437e+00  2.200e-02 
- -4.577e-04  2.575e-03 -1.048e-02  2.200e-02  3.330e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23364   1.000 -0.144 -0.039 -0.147 -0.118
-        2  0.68293  -0.144  1.000 -0.379  0.549  0.585
-        3  0.60026  -0.039 -0.379  1.000 -0.580 -0.286
-        4  0.69097  -0.147  0.549 -0.580  1.000  0.393
-        5  0.59255  -0.118  0.585 -0.286  0.393  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9114.57 FROM HESSE     STATUS=OK             31 CALLS         321 TOTAL
-                     EDM=5.65701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00989e+02   2.12854e-01   3.77576e-05  -2.70672e-01
-   2  sg_p1        6.53035e+00   2.42646e-01   1.19617e-03  -2.37040e-01
-   3  sg_p2        2.93079e+02   2.03806e+00   2.53019e-04   3.76364e-01
-   4  sg_p3        3.22426e+01   3.11925e+00   1.25446e-04  -6.80639e-01
-   5  sg_p4        6.37280e-01   1.83457e-02   8.06317e-05   2.78131e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.531e-02 -7.562e-03 -1.490e-02 -9.842e-02 -4.666e-04 
- -7.562e-03  5.919e-02 -1.948e-01  4.241e-01  2.634e-03 
- -1.490e-02 -1.948e-01  4.155e+00 -3.791e+00 -1.116e-02 
- -9.842e-02  4.241e-01 -3.791e+00  9.744e+00  2.314e-02 
- -4.666e-04  2.634e-03 -1.116e-02  2.314e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23439   1.000 -0.146 -0.034 -0.148 -0.119
-        2  0.68886  -0.146  1.000 -0.393  0.558  0.590
-        3  0.61521  -0.034 -0.393  1.000 -0.596 -0.298
-        4  0.70278  -0.148  0.558 -0.596  1.000  0.404
-        5  0.59855  -0.119  0.590 -0.298  0.404  1.000
-300
-300.989 +- 0.212854
-6.53035 +- 0.242646
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9310.64 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.34333e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.36771e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -1.06301e+01
-   4  sg_p3        4.94125e+01   1.20000e+01  -3.50242e-01  -6.56876e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.57740e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=4.60513e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00716e+02   2.01045e-01   8.96469e-04   2.14226e-01
-   2  sg_p1        6.51517e+00   2.15145e-01   5.62639e-03   1.07423e-02
-   3  sg_p2        2.82932e+02   4.43725e+00   1.74062e-03  -1.31230e-01
-   4  sg_p3        3.77806e+01   4.64318e+00   3.03684e-03  -8.20421e-02
-   5  sg_p4        6.44030e-01   1.61428e-02   1.96449e-03   1.08169e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.042e-02 -6.174e-03  6.288e-02 -1.484e-01 -1.712e-04 
- -6.174e-03  4.648e-02 -4.710e-01  4.996e-01  9.943e-04 
-  6.288e-02 -4.710e-01  1.971e+01 -1.755e+01  9.466e-03 
- -1.484e-01  4.996e-01 -1.755e+01  2.162e+01 -1.284e-02 
- -1.712e-04  9.943e-04  9.466e-03 -1.284e-02  2.607e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22609   1.000 -0.142  0.070 -0.159 -0.053
-        2  0.63799  -0.142  1.000 -0.492  0.498  0.286
-        3  0.85697   0.070 -0.492  1.000 -0.850  0.132
-        4  0.86627  -0.159  0.498 -0.850  1.000 -0.171
-        5  0.46460  -0.053  0.286  0.132 -0.171  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9074.37 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=4.60124e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00716e+02   2.01266e-01   1.79294e-04  -2.89604e-01
-   2  sg_p1        6.51517e+00   2.18764e-01   1.12528e-03  -2.44853e-01
-   3  sg_p2        2.82932e+02   4.66955e+00   3.48124e-04   2.57637e-01
-   4  sg_p3        3.77806e+01   4.88570e+00   1.21473e-04  -5.66865e-01
-   5  sg_p4        6.44030e-01   1.61620e-02   3.92898e-04   2.92200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.051e-02 -6.582e-03  7.683e-02 -1.625e-01 -1.645e-04 
- -6.582e-03  4.806e-02 -5.290e-01  5.602e-01  9.646e-04 
-  7.683e-02 -5.290e-01  2.183e+01 -1.979e+01  1.061e-02 
- -1.625e-01  5.602e-01 -1.979e+01  2.394e+01 -1.401e-02 
- -1.645e-04  9.646e-04  1.061e-02 -1.401e-02  2.613e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23066   1.000 -0.149  0.082 -0.165 -0.051
-        2  0.65313  -0.149  1.000 -0.516  0.522  0.272
-        3  0.87189   0.082 -0.516  1.000 -0.866  0.140
-        4  0.88014  -0.165  0.522 -0.866  1.000 -0.177
-        5  0.46660  -0.051  0.272  0.140 -0.177  1.000
-300
-300.716 +- 0.201266
-6.51517 +- 0.218764
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9199.28 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.31737e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -3.80725e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   3.68970e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.60460e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.61061e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM MIGRAD    STATUS=CONVERGED     286 CALLS         287 TOTAL
-                     EDM=6.06176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00769e+02   2.16735e-01   9.53991e-04  -5.33757e-02
-   2  sg_p1        6.70308e+00   2.45021e-01   5.89293e-03  -3.95912e-02
-   3  sg_p2        2.87922e+02   3.34063e+00   1.53235e-03  -3.18644e-02
-   4  sg_p3        3.55948e+01   4.26381e+00   3.23155e-03  -4.27157e-03
-   5  sg_p4        6.37600e-01   1.68956e-02   2.00611e-03   2.50190e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.698e-02 -9.160e-03  4.009e-02  1.638e-01 -3.977e-04 
- -9.160e-03  6.035e-02 -4.159e-01 -5.898e-01  1.951e-03 
-  4.009e-02 -4.159e-01  1.117e+01  1.132e+01 -9.034e-03 
-  1.638e-01 -5.898e-01  1.132e+01  1.823e+01 -1.125e-02 
- -3.977e-04  1.951e-03 -9.034e-03 -1.125e-02  2.856e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25346   1.000 -0.172  0.055  0.177 -0.109
-        2  0.68892  -0.172  1.000 -0.507 -0.562  0.470
-        3  0.80257   0.055 -0.507  1.000  0.794 -0.160
-        4  0.82438   0.177 -0.562  0.794  1.000 -0.156
-        5  0.48969  -0.109  0.470 -0.160 -0.156  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8979.33 FROM HESSE     STATUS=OK             31 CALLS         318 TOTAL
-                     EDM=6.06043e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00769e+02   2.16688e-01   1.90798e-04  -2.85961e-01
-   2  sg_p1        6.70308e+00   2.44943e-01   1.17859e-03  -1.49009e-01
-   3  sg_p2        2.87922e+02   3.32664e+00   3.06471e-04   3.15452e-01
-   4  sg_p3        3.55948e+01   4.24592e+00   1.29262e-04  -2.53092e+00
-   5  sg_p4        6.37600e-01   1.68934e-02   4.01222e-04   2.78798e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.696e-02 -9.141e-03  3.853e-02  1.617e-01 -3.954e-04 
- -9.141e-03  6.031e-02 -4.131e-01 -5.862e-01  1.947e-03 
-  3.853e-02 -4.131e-01  1.107e+01  1.120e+01 -8.911e-03 
-  1.617e-01 -5.862e-01  1.120e+01  1.807e+01 -1.105e-02 
- -3.954e-04  1.947e-03 -8.911e-03 -1.105e-02  2.855e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25265   1.000 -0.172  0.053  0.175 -0.108
-        2  0.68868  -0.172  1.000 -0.506 -0.562  0.469
-        3  0.80070   0.053 -0.506  1.000  0.792 -0.158
-        4  0.82272   0.175 -0.562  0.792  1.000 -0.154
-        5  0.48949  -0.108  0.469 -0.158 -0.154  1.000
-300
-300.769 +- 0.216688
-6.70308 +- 0.244943
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9528.95 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   2.01358e-01   1.40358e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -2.86077e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   2.01358e-01   4.07742e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01   3.28657e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.55130e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM MIGRAD    STATUS=CONVERGED     275 CALLS         276 TOTAL
-                     EDM=1.0669e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00844e+02   2.01930e-01   9.05593e-04   7.10616e-03
-   2  sg_p1        6.50018e+00   2.20682e-01   5.70172e-03  -1.20796e-03
-   3  sg_p2        2.89404e+02   2.63913e+00   1.40244e-03   7.93444e-03
-   4  sg_p3        3.36229e+01   3.43508e+00   3.08392e-03  -8.78771e-03
-   5  sg_p4        6.54921e-01   1.64524e-02   1.98673e-03  -7.23147e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.078e-02 -6.775e-03  1.130e-02 -1.118e-01 -3.655e-04 
- -6.775e-03  4.891e-02 -2.623e-01  4.000e-01  1.828e-03 
-  1.130e-02 -2.623e-01  6.967e+00 -6.550e+00 -9.484e-03 
- -1.118e-01  4.000e-01 -6.550e+00  1.182e+01  1.315e-02 
- -3.655e-04  1.828e-03 -9.484e-03  1.315e-02  2.708e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23688   1.000 -0.152  0.021 -0.161 -0.110
-        2  0.66103  -0.152  1.000 -0.449  0.526  0.502
-        3  0.73398   0.021 -0.449  1.000 -0.722 -0.218
-        4  0.76528  -0.161  0.526 -0.722  1.000  0.232
-        5  0.50584  -0.110  0.502 -0.218  0.232  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9284.6 FROM HESSE     STATUS=OK             31 CALLS         307 TOTAL
-                     EDM=1.12622e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00844e+02   2.02032e-01   3.62237e-05  -2.80744e-01
-   2  sg_p1        6.50018e+00   2.23003e-01   2.28069e-04  -2.52587e-01
-   3  sg_p2        2.89404e+02   2.70635e+00   2.80488e-04   3.32825e-01
-   4  sg_p3        3.36229e+01   3.52423e+00   1.23357e-04  -6.93457e+00
-   5  sg_p4        6.54921e-01   1.65063e-02   3.97346e-04   3.15027e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.082e-02 -7.019e-03  1.539e-02 -1.166e-01 -3.746e-04 
- -7.019e-03  4.995e-02 -2.818e-01  4.255e-01  1.872e-03 
-  1.539e-02 -2.818e-01  7.327e+00 -7.045e+00 -1.028e-02 
- -1.166e-01  4.255e-01 -7.045e+00  1.244e+01  1.424e-02 
- -3.746e-04  1.872e-03 -1.028e-02  1.424e-02  2.726e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23888   1.000 -0.155  0.028 -0.164 -0.112
-        2  0.66984  -0.155  1.000 -0.466  0.540  0.507
-        3  0.74924   0.028 -0.466  1.000 -0.738 -0.230
-        4  0.77870  -0.164  0.540 -0.738  1.000  0.244
-        5  0.51061  -0.112  0.507 -0.230  0.244  1.000
-300
-300.844 +- 0.202032
-6.50018 +- 0.223003
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=8804.14 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.21619e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -2.50995e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00  -2.34806e+01
-   4  sg_p3        5.09831e+01   1.20000e+01  -3.22511e-01  -1.58294e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.45258e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=0.000103955    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00810e+02   2.13585e-01   9.23962e-04  -3.32389e-01
-   2  sg_p1        6.67466e+00   2.27375e-01   5.64986e-03  -6.39462e-02
-   3  sg_p2        2.86358e+02   3.78706e+00   1.67027e-03   2.10141e-01
-   4  sg_p3        3.68730e+01   4.57772e+00   3.31711e-03   1.33026e-01
-   5  sg_p4        6.48483e-01   1.65693e-02   1.99186e-03   1.18731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.562e-02 -7.064e-03  3.747e-02 -1.545e-01 -2.634e-04 
- -7.064e-03  5.193e-02 -4.091e-01  5.342e-01  1.402e-03 
-  3.747e-02 -4.091e-01  1.435e+01 -1.392e+01 -8.150e-04 
- -1.545e-01  5.342e-01 -1.392e+01  2.101e+01 -1.176e-03 
- -2.634e-04  1.402e-03 -8.150e-04 -1.176e-03  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23149   1.000 -0.145  0.046 -0.158 -0.074
-        2  0.64493  -0.145  1.000 -0.474  0.511  0.371
-        3  0.80971   0.046 -0.474  1.000 -0.802 -0.013
-        4  0.82741  -0.158  0.511 -0.802  1.000 -0.015
-        5  0.44365  -0.074  0.371 -0.013 -0.015  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=8594.18 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=0.000103618    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00810e+02   2.13733e-01   1.84792e-04  -2.83111e-01
-   2  sg_p1        6.67466e+00   2.30409e-01   1.12997e-03  -1.63396e-01
-   3  sg_p2        2.86358e+02   3.92954e+00   3.34054e-04   2.97224e-01
-   4  sg_p3        3.68730e+01   4.75005e+00   6.63422e-04  -5.84901e-01
-   5  sg_p4        6.48483e-01   1.65714e-02   3.98372e-04   3.01515e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.569e-02 -7.400e-03  4.620e-02 -1.644e-01 -2.656e-04 
- -7.400e-03  5.333e-02 -4.485e-01  5.817e-01  1.411e-03 
-  4.620e-02 -4.485e-01  1.545e+01 -1.528e+01 -1.007e-03 
- -1.644e-01  5.817e-01 -1.528e+01  2.263e+01 -8.956e-04 
- -2.656e-04  1.411e-03 -1.007e-03 -8.956e-04  2.747e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23430   1.000 -0.150  0.055 -0.162 -0.075
-        2  0.65672  -0.150  1.000 -0.494  0.530  0.369
-        3  0.82472   0.055 -0.494  1.000 -0.817 -0.015
-        4  0.84090  -0.162  0.530 -0.817  1.000 -0.011
-        5  0.44388  -0.075  0.369 -0.015 -0.011  1.000
-300
-300.81 +- 0.213733
-6.67466 +- 0.230409
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10085.1 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.05000e+02   3.00000e+00   0.00000e+00   1.41204e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   0.00000e+00  -3.13147e+01
-   3  sg_p2        2.60000e+02   1.80000e+01   0.00000e+00   9.36393e+00
-   4  sg_p3        5.63011e+01   1.20000e+01  -2.30347e-01   1.74222e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -1.47792e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=9.73968e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.00804e+02   2.00448e-01   9.27938e-04  -2.66723e-02
-   2  sg_p1        6.67674e+00   2.14181e-01   5.68372e-03   6.00134e-04
-   3  sg_p2        2.86357e+02   3.57965e+00   1.66724e-03  -1.62501e-02
-   4  sg_p3        3.71633e+01   4.35962e+00   3.32473e-03   2.36830e-03
-   5  sg_p4        6.44672e-01   1.55331e-02   1.99195e-03  -8.00555e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.018e-02 -6.290e-03  3.361e-02 -1.381e-01 -2.282e-04 
- -6.290e-03  4.605e-02 -3.651e-01  4.812e-01  1.217e-03 
-  3.361e-02 -3.651e-01  1.282e+01 -1.255e+01 -7.211e-05 
- -1.381e-01  4.812e-01 -1.255e+01  1.905e+01 -1.851e-03 
- -2.282e-04  1.217e-03 -7.211e-05 -1.851e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23182   1.000 -0.146  0.047 -0.158 -0.073
-        2  0.64675  -0.146  1.000 -0.475  0.514  0.365
-        3  0.81111   0.047 -0.475  1.000 -0.803 -0.001
-        4  0.82935  -0.158  0.514 -0.803  1.000 -0.027
-        5  0.44510  -0.073  0.365 -0.001 -0.027  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9847.01 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=1.05973e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.00804e+02   2.00611e-01   1.85588e-04  -2.83535e-01
-   2  sg_p1        6.67674e+00   2.17452e-01   2.27349e-04  -1.62344e-01
-   3  sg_p2        2.86357e+02   3.73232e+00   3.33449e-04   2.97212e-01
-   4  sg_p3        3.71633e+01   4.54584e+00   1.32989e-04  -5.79108e-01
-   5  sg_p4        6.44672e-01   1.55348e-02   7.96779e-05   2.93540e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.025e-02 -6.630e-03  4.251e-02 -1.483e-01 -2.300e-04 
- -6.630e-03  4.748e-02 -4.050e-01  5.298e-01  1.225e-03 
-  4.251e-02 -4.050e-01  1.394e+01 -1.395e+01 -2.119e-04 
- -1.483e-01  5.298e-01 -1.395e+01  2.072e+01 -1.629e-03 
- -2.300e-04  1.225e-03 -2.119e-04 -1.629e-03  2.414e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23512   1.000 -0.152  0.057 -0.162 -0.074
-        2  0.66010  -0.152  1.000 -0.498  0.534  0.362
-        3  0.82785   0.057 -0.498  1.000 -0.821 -0.004
-        4  0.84435  -0.162  0.534 -0.821  1.000 -0.023
-        5  0.44529  -0.074  0.362 -0.004 -0.023  1.000
-300
-300.804 +- 0.200611
-6.67674 +- 0.217452
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 300.807 +- 0.207041 (stat) - 0.0909738 + 0.181936 (syst); -0.137814/+0.209326 (total)
-   Uncertainty on sg_p1 = 6.67548 +- 0.22415 (stat) - 0.1753 + 0.0276028 (syst); -0.208065/+0.115424 (total)
-   Uncertainty on sg_p2 = 286.348 +- 3.84665 (stat) - 3.4164 + 6.73068 (syst); -3.92058/+7.00009 (total)
-   Uncertainty on sg_p3 = 37.0116 +- 4.66245 (stat) - 4.76893 + 0.769026 (syst); -5.30823/+2.45479 (total)
-   Uncertainty on sg_p4 = 0.646423 +- 0.0160428 (stat) - 0.00914333 + 0.00849815 (syst); -0.0121632/+0.0116859 (total) 
-   === Baseline plot === </br>
-   norm = 304.126
-JEC     lnN   1.00496  -
-JER     lnN   1.02029  -
-btag    lnN   1.06837  -
-sg_p0   param   300.807 -0.137814/+0.209326
-sg_p1   param   6.67548 -0.208065/+0.115424
-sg_p2   param   286.348  -3.92058/+7.00009
-sg_p3   param   37.0116  -5.30823/+2.45479
-sg_p4   param   0.646423  -0.0121632/+0.0116859 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out
deleted file mode 100644
index 9ac7b5f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.110
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000237359  -0.000237359/+0.12554  (68% CL)
-nll S+B -> -0.00503793  nll B -> -0.00503627
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out
deleted file mode 100644
index d14a1ad..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 7.829387:	q_mu = 4.01827	q_A  = 4.97345	CLsb = 0.02250	CLb  = 0.58923	CLs  = 0.03819
-
- -- Asymptotic -- 
-Observed Limit: r < 7.8294
-Expected  2.5%: r < 0.1349
-Expected 16.0%: r < 0.1804
-Expected 50.0%: r < 0.2549
-Expected 84.0%: r < 0.3636
-Expected 97.5%: r < 0.5034
-
-Done in 0.16 min (cpu), 0.16 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt
deleted file mode 100644
index 66e6cac..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/datacard_350_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/signal350_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_1_285_624/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out
deleted file mode 100644
index f4c0c53..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.050
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 8.16853e-11  -8.16853e-11/+0.0155916  (68% CL)
-nll S+B -> -0.173404  nll B -> -0.173404
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out
deleted file mode 100644
index b27dcd3..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.057745:	q_mu = 3.85350	q_A  = 3.84724	CLsb = 0.02482	CLb  = 0.49936	CLs  = 0.04971
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0577
-Expected  2.5%: r < 0.0177
-Expected 16.0%: r < 0.0313
-Expected 50.0%: r < 0.0581
-Expected 84.0%: r < 0.1058
-Expected 97.5%: r < 0.1761
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt
deleted file mode 100644
index 6824fb1..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/datacard_350_crystal_252_330.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_252_330.root      HbbHbb:f_crystal
-shapes data_obs   HbbHbb w_background_crystal_252_330.root      HbbHbb:data_obs_crystal_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/signal350_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_crystal_252_330/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out
deleted file mode 100644
index 6ea7582..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 5.1259e-13  -5.1259e-13/+0.0157567  (68% CL)
-nll S+B -> -0.0451332  nll B -> -0.0451332
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out
deleted file mode 100644
index 8b9d5f5..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/CMS_HH4b_350_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.057473:	q_mu = 3.85190	q_A  = 3.85130	CLsb = 0.02484	CLb  = 0.49994	CLs  = 0.04970
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0575
-Expected  2.5%: r < 0.0183
-Expected 16.0%: r < 0.0313
-Expected 50.0%: r < 0.0571
-Expected 84.0%: r < 0.1040
-Expected 97.5%: r < 0.1710
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt
deleted file mode 100644
index ead162c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/datacard_350_gaus_exp_252_330.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:f_gaus_exp
-shapes data_obs   HbbHbb w_background_gaus_exp_252_330.root      HbbHbb:data_obs_gaus_exp_252_330
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 14211
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/signal350_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_gaus_exp_252_330/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out
deleted file mode 100644
index 4a1d170..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 1.73988e-08  -1.73988e-08/+0.118726  (68% CL)
-nll S+B -> -0.0632701  nll B -> -0.0632699
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out
deleted file mode 100644
index 8feb6a8..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/CMS_HH4b_350_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.249376:	q_mu = 3.82830	q_A  = 3.88853	CLsb = 0.02520	CLb  = 0.50612	CLs  = 0.04979
-
- -- Asymptotic -- 
-Observed Limit: r < 0.2494
-Expected  2.5%: r < 0.1240
-Expected 16.0%: r < 0.1716
-Expected 50.0%: r < 0.2471
-Expected 84.0%: r < 0.3603
-Expected 97.5%: r < 0.5024
-
-Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt
deleted file mode 100644
index 74b581a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/datacard_350_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_350.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  541.084 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06649    -
-JER       lnN     1.00905   - 
-JEC       lnN     1.0101   -
-trigger   lnN     1.10    -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/signal350_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/signal350_sig.log
deleted file mode 100644
index 3cd3455..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_350_novo_285_624/signal350_sig.log
+++ /dev/null
@@ -1,927 +0,0 @@
-
-Processing test.c...
-nSignal_init = 300000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22528 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.85444e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.26556e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.23451e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.81309e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.79262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM MIGRAD    STATUS=CONVERGED     200 CALLS         201 TOTAL
-                     EDM=3.93725e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.34187e+02   4.37520e-01   1.19182e-03   3.04020e-02
-   2  sg_p1        2.26141e+01   4.79817e-01   2.16429e-03   1.96597e-03
-   3  sg_p2        3.30000e+02   7.71533e-01   1.87116e-02** at limit **
-   4  sg_p3        7.15373e+01   5.51063e+00   8.04417e-03   3.88300e-03
-   5  sg_p4        8.94168e-01   1.56675e-02   2.59223e-03   3.19034e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.914e-01 -8.489e-02 -1.235e-06 -8.412e-01 -2.850e-03 
- -8.489e-02  2.303e-01  1.528e-06  1.618e+00  5.594e-03 
- -1.235e-06  1.528e-06  1.273e-07  1.107e-05  4.780e-08 
- -8.412e-01  1.618e+00  1.107e-05  3.054e+01  6.912e-02 
- -2.850e-03  5.594e-03  4.780e-08  6.912e-02  2.457e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.43984   1.000 -0.404 -0.008 -0.348 -0.416
-        2  0.75144  -0.404  1.000  0.009  0.610  0.744
-        3  0.01053  -0.008  0.009  1.000  0.006  0.009
-        4  0.79840  -0.348  0.610  0.006  1.000  0.798
-        5  0.86375  -0.416  0.744  0.009  0.798  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21380.5 FROM HESSE     STATUS=OK             31 CALLS         232 TOTAL
-                     EDM=4.04441e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.34187e+02   4.38578e-01   4.76728e-05  -3.14089e-01
-   2  sg_p1        2.26141e+01   4.83583e-01   8.65717e-05   1.75170e-01
-   3  sg_p2        3.30000e+02   7.71716e-01   3.74232e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        7.15373e+01   5.57705e+00   3.21767e-04   3.76314e-01
-   5  sg_p4        8.94168e-01   1.58618e-02   5.18445e-04   9.08100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.924e-01 -8.684e-02 -2.448e-07 -8.666e-01 -2.922e-03 
- -8.684e-02  2.339e-01  3.045e-07  1.670e+00  5.743e-03 
- -2.448e-07  3.045e-07  1.274e-07  2.232e-06  9.555e-09 
- -8.666e-01  1.670e+00  2.232e-06  3.129e+01  7.130e-02 
- -2.922e-03  5.743e-03  9.555e-09  7.130e-02  2.518e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44424   1.000 -0.409 -0.002 -0.353 -0.420
-        2  0.75592  -0.409  1.000  0.002  0.617  0.748
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.80377  -0.353  0.617  0.001  1.000  0.803
-        5  0.86733  -0.420  0.748  0.002  0.803  1.000
-350
-334.187 +- 0.438578
-22.6141 +- 0.483583
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22627.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   1.57892e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01   2.75936e+01
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.16953e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -3.72010e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.99046e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM MIGRAD    STATUS=CONVERGED     179 CALLS         180 TOTAL
-                     EDM=0.000765156    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.35798e+02   4.40505e-01   1.18756e-03   5.85918e-02
-   2  sg_p1        2.30753e+01   4.76357e-01   2.18690e-03  -2.03897e-03
-   3  sg_p2        3.30001e+02   1.45352e+00   2.57988e-02  -9.05792e-02
-   4  sg_p3        7.35354e+01   6.02462e+00   8.88269e-03  -1.01559e-01
-   5  sg_p4        9.01891e-01   1.51622e-02   2.60225e-03   2.64090e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.941e-01 -8.403e-02 -1.778e-04 -9.585e-01 -2.816e-03 
- -8.403e-02  2.270e-01  1.870e-04  1.767e+00  5.355e-03 
- -1.778e-04  1.870e-04  4.564e-03  5.987e-04  4.935e-06 
- -9.585e-01  1.767e+00  5.987e-04  3.656e+01  7.358e-02 
- -2.816e-03  5.355e-03  4.935e-06  7.358e-02  2.301e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44243   1.000 -0.400 -0.006 -0.360 -0.421
-        2  0.74784  -0.400  1.000  0.006  0.613  0.741
-        3  0.00826  -0.006  0.006  1.000  0.001  0.005
-        4  0.80297  -0.360  0.613  0.001  1.000  0.802
-        5  0.86456  -0.421  0.741  0.005  0.802  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21614.3 FROM HESSE     STATUS=OK             31 CALLS         211 TOTAL
-                     EDM=0.000770472    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.35798e+02   4.41802e-01   2.37512e-04  -2.66038e-01
-   2  sg_p1        2.30753e+01   4.80609e-01   8.74761e-05   2.06482e-01
-   3  sg_p2        3.30001e+02   1.45505e+00   5.15976e-03  -1.57669e+00
-   4  sg_p3        7.35354e+01   6.11053e+00   3.55307e-04   4.24535e-01
-   5  sg_p4        9.01891e-01   1.53826e-02   1.04090e-04   9.33626e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.952e-01 -8.630e-02  8.428e-05 -9.929e-01 -2.902e-03 
- -8.630e-02  2.311e-01 -8.883e-05  1.833e+00  5.520e-03 
-  8.428e-05 -8.883e-05  4.569e-03 -2.859e-04 -2.344e-06 
- -9.929e-01  1.833e+00 -2.859e-04  3.762e+01  7.631e-02 
- -2.902e-03  5.520e-03 -2.344e-06  7.631e-02  2.368e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.44772   1.000 -0.406  0.003 -0.366 -0.427
-        2  0.75302  -0.406  1.000 -0.003  0.622  0.746
-        3  0.00390   0.003 -0.003  1.000 -0.001 -0.002
-        4  0.80914  -0.366  0.622 -0.001  1.000  0.808
-        5  0.86871  -0.427  0.746 -0.002  0.808  1.000
-350
-335.798 +- 0.441802
-23.0753 +- 0.480609
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22461.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.45000e+02   7.00000e+00   2.01358e-01   2.12122e+03
-   2  sg_p1        2.00000e+01   3.00000e+00   2.01358e-01  -1.16373e+02
-   3  sg_p2        3.75000e+02   9.00000e+00   2.01358e-01   1.31911e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.79911e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.15472e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=1.05905e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.32336e+02   4.42443e-01   1.23362e-03   3.68247e-02
-   2  sg_p1        2.24290e+01   4.96251e-01   2.19433e-03  -3.29729e-02
-   3  sg_p2        3.30000e+02   5.15272e-01   1.52593e-02** at limit **
-   4  sg_p3        6.46965e+01   4.49942e+00   6.08111e-03   5.16840e-02
-   5  sg_p4        8.77595e-01   1.81613e-02   2.70062e-03  -5.60533e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.958e-01 -8.688e-02 -6.473e-07 -6.527e-01 -3.215e-03 
- -8.688e-02  2.464e-01  8.468e-07  1.363e+00  6.784e-03 
- -6.473e-07  8.468e-07  3.789e-08  6.087e-06  3.127e-08 
- -6.527e-01  1.363e+00  6.087e-06  2.032e+01  6.625e-02 
- -3.215e-03  6.784e-03  3.127e-08  6.625e-02  3.302e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42501   1.000 -0.396 -0.008 -0.327 -0.400
-        2  0.75928  -0.396  1.000  0.009  0.609  0.752
-        3  0.01018  -0.008  0.009  1.000  0.007  0.009
-        4  0.80887  -0.327  0.609  0.007  1.000  0.809
-        5  0.87457  -0.400  0.752  0.009  0.809  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21165.5 FROM HESSE     STATUS=OK             31 CALLS         205 TOTAL
-                     EDM=1.06081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.32336e+02   4.43146e-01   4.93448e-05  -3.70218e-01
-   2  sg_p1        2.24290e+01   4.99339e-01   8.77732e-05   1.62649e-01
-   3  sg_p2        3.30000e+02   5.15335e-01   3.05186e-03  -1.57077e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.46965e+01   4.54231e+00   2.43244e-04   2.17181e-01
-   5  sg_p4        8.77595e-01   1.83407e-02   5.40123e-04   8.55943e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.964e-01 -8.838e-02 -1.326e-07 -6.673e-01 -3.275e-03 
- -8.838e-02  2.494e-01  1.746e-07  1.397e+00  6.925e-03 
- -1.326e-07  1.746e-07  3.790e-08  1.265e-06  6.465e-09 
- -6.673e-01  1.397e+00  1.265e-06  2.071e+01  6.788e-02 
- -3.275e-03  6.925e-03  6.465e-09  6.788e-02  3.367e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.42806   1.000 -0.399 -0.002 -0.331 -0.403
-        2  0.76271  -0.399  1.000  0.002  0.615  0.756
-        3  0.00208  -0.002  0.002  1.000  0.001  0.002
-        4  0.81288  -0.331  0.615  0.001  1.000  0.813
-        5  0.87719  -0.403  0.756  0.002  0.813  1.000
-350
-332.336 +- 0.443146
-22.429 +- 0.499339
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17745.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.81607e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82292e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.35171e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.55171e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.60829e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.4848e-03  4.4073e-01  9.4874e-01  1.6613e+00  1.9507e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.003435 TO DIAGONAL.
- FCN=17037.5 FROM MIGRAD    STATUS=CONVERGED     272 CALLS         273 TOTAL
-                     EDM=0.000229841    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51690e+02   3.12909e-01   7.20357e-04   1.50885e-02
-   2  sg_p1        8.99990e+00   2.02072e+00   1.07460e-01  -8.64629e-04
-   3  sg_p2        3.37532e+02   1.70704e+01   8.89534e-04   8.91783e-02
-   4  sg_p3        3.55850e+01   1.57412e+01   2.01445e-03   5.68535e-02
-   5  sg_p4        7.03842e-01   9.36961e-02   8.03918e-03  -4.45853e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.792e-02  9.007e-02  3.977e+00 -3.782e+00 -2.519e-02 
-  9.007e-02  1.430e-01  6.397e+00 -5.986e+00 -3.967e-02 
-  3.977e+00  6.397e+00  2.927e+02 -2.722e+02 -1.779e+00 
- -3.782e+00 -5.986e+00 -2.722e+02  2.551e+02  1.667e+00 
- -2.519e-02 -3.967e-02 -1.779e+00  1.667e+00  1.115e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.77487   1.000  0.761  0.743 -0.757 -0.763
-        2  0.99571   0.761  1.000  0.989 -0.991 -0.994
-        3  0.99637   0.743  0.989  1.000 -0.996 -0.985
-        4  0.99713  -0.757 -0.991 -0.996  1.000  0.988
-        5  0.99425  -0.763 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17037.5 FROM HESSE     STATUS=OK             35 CALLS         308 TOTAL
-                     EDM=2.9509e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51690e+02   2.05801e-01   1.44071e-04  -1.32785e-01
-   2  sg_p1        8.99990e+00   4.72520e-01   4.38435e-01   1.58093e+00
-   3  sg_p2        3.37532e+02   3.63434e+00   1.77907e-04   4.55143e-01
-   4  sg_p3        3.55850e+01   3.20621e+00   8.05779e-05  -6.87361e-01
-   5  sg_p4        7.03842e-01   1.85963e-02   3.21567e-04  -7.64719e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.236e-02  4.581e-04  2.670e-02 -8.569e-02 -6.634e-04 
-  4.581e-04  2.023e-04  3.597e-02 -3.336e-02 -2.070e-04 
-  2.670e-02  3.597e-02  1.321e+01 -1.062e+01 -4.128e-02 
- -8.569e-02 -3.336e-02 -1.062e+01  1.029e+01  3.997e-02 
- -6.634e-04 -2.070e-04 -4.128e-02  3.997e-02  3.484e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27036   1.000  0.157  0.036 -0.130 -0.173
-        2  0.83318   0.157  1.000  0.696 -0.731 -0.780
-        3  0.91590   0.036  0.696  1.000 -0.910 -0.608
-        4  0.92588  -0.130 -0.731 -0.910  1.000  0.668
-        5  0.79489  -0.173 -0.780 -0.608  0.668  1.000
-350
-351.69 +- 0.205801
-8.9999 +- 0.47252
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17980.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.49987e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.98208e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.69170e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -7.83629e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.56311e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         303 TOTAL
-                     EDM=0.00176494    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04460e-01   7.28165e-04  -2.52563e-01
-   2  sg_p1        8.99915e+00   2.30345e-01   4.30116e-02   1.25408e-01
-   3  sg_p2        3.40595e+02   2.15600e+00   8.33185e-04  -5.45844e-01
-   4  sg_p3        3.45143e+01   1.95839e+00   2.03832e-03  -4.14782e-02
-   5  sg_p4        7.03933e-01   1.22162e-02   8.12692e-03   9.35709e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17292.9 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=4.59633e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   1.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51961e+02   2.04485e-01   4.26699e-06  -6.13016e-02
-   2  sg_p1        9.00000e+00   2.28984e-01  -2.81882e-02   4.39584e-03
-   3  sg_p2        3.40596e+02   2.15817e+00   9.56132e-06  -1.29730e-01
-   4  sg_p3        3.45177e+01   1.95208e+00   6.42863e-05   7.35163e-02
-   5  sg_p4        7.03952e-01   1.21706e-02   1.50864e-04   7.78726e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.182e-02  1.059e-06 -5.711e-02 -6.423e-03 -1.875e-04 
-  1.059e-06  9.432e-07  8.505e-05 -8.954e-05 -6.387e-07 
- -5.711e-02  8.505e-05  4.658e+00 -3.232e+00 -5.893e-03 
- -6.423e-03 -8.954e-05 -3.232e+00  3.812e+00  7.975e-03 
- -1.875e-04 -6.387e-07 -5.893e-03  7.975e-03  1.486e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23004   1.000  0.005 -0.129 -0.016 -0.075
-        2  0.06294   0.005  1.000  0.041 -0.047 -0.054
-        3  0.78034  -0.129  0.041  1.000 -0.767 -0.224
-        4  0.79125  -0.016 -0.047 -0.767  1.000  0.335
-        5  0.34635  -0.075 -0.054 -0.224  0.335  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17292.9 FROM HESSE     STATUS=OK             33 CALLS         347 TOTAL
-                     EDM=8.75756e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51961e+02   2.04438e-01   7.28075e-04  -1.21874e-01
-   2  sg_p1        9.00000e+00   2.29843e-01   4.29288e-02   1.57180e+00
-   3  sg_p2        3.40596e+02   2.15392e+00   8.34476e-04   4.75922e-01
-   4  sg_p3        3.45177e+01   1.95162e+00   8.15327e-04  -7.07252e-01
-   5  sg_p4        7.03952e-01   1.20329e-02   8.13654e-03  -7.63847e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.180e-02  1.680e-06 -5.851e-02 -5.134e-03 -1.774e-04 
-  1.680e-06  9.469e-07  1.234e-04 -1.333e-04 -1.048e-06 
- -5.851e-02  1.234e-04  4.640e+00 -3.221e+00 -5.474e-03 
- -5.134e-03 -1.333e-04 -3.221e+00  3.811e+00  7.658e-03 
- -1.774e-04 -1.048e-06 -5.474e-03  7.658e-03  1.452e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22989   1.000  0.008 -0.133 -0.013 -0.072
-        2  0.10030   0.008  1.000  0.059 -0.070 -0.089
-        3  0.77997  -0.133  0.059  1.000 -0.766 -0.211
-        4  0.79057  -0.013 -0.070 -0.766  1.000  0.326
-        5  0.34225  -0.072 -0.089 -0.211  0.326  1.000
-350
-351.961 +- 0.204438
-9 +- 0.229843
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17556.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.17830e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.68439e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.02939e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.22040e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.78553e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.39906 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             37 CALLS         272 TOTAL
-                     EDM=0.00897496    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51361e+02   2.01282e-01   7.11370e-04   1.72820e-01
-   2  sg_p1        8.99409e+00   2.54007e+00   1.10453e-01   1.29902e-01
-   3  sg_p2        3.31862e+02   3.59215e+00   1.00989e-03  -2.61406e-01
-   4  sg_p3        3.82944e+01   2.65752e+00   2.00950e-03  -4.58275e-02
-   5  sg_p4        6.99077e-01   1.14579e-02   8.35244e-03   6.96141e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM MIGRAD    STATUS=CONVERGED     368 CALLS         369 TOTAL
-                     EDM=2.66923e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51369e+02   2.03042e-01   7.10429e-04   6.65922e-02
-   2  sg_p1        8.93634e+00   2.26538e-01   3.06864e-02   1.49692e-02
-   3  sg_p2        3.32548e+02   4.06056e+00   9.86163e-04   4.21549e-03
-   4  sg_p3        3.77657e+01   3.08320e+00   1.99063e-03  -6.94419e-02
-   5  sg_p4        6.96961e-01   1.39263e-02   8.49674e-03  -1.61305e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.123e-02 -6.678e-03  2.163e-02 -7.188e-02 -4.511e-04 
- -6.678e-03  5.527e-02 -5.307e-01  4.156e-01  1.876e-03 
-  2.163e-02 -5.307e-01  1.649e+01 -1.137e+01 -1.673e-02 
- -7.188e-02  4.156e-01 -1.137e+01  9.516e+00  1.485e-02 
- -4.511e-04  1.876e-03 -1.673e-02  1.485e-02  1.948e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25576   1.000 -0.140  0.026 -0.115 -0.159
-        2  0.70688  -0.140  1.000 -0.556  0.573  0.572
-        3  0.91344   0.026 -0.556  1.000 -0.908 -0.295
-        4  0.91579  -0.115  0.573 -0.908  1.000  0.345
-        5  0.58244  -0.159  0.572 -0.295  0.345  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16809.1 FROM HESSE     STATUS=OK             31 CALLS         400 TOTAL
-                     EDM=2.70646e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51369e+02   2.03746e-01   1.42086e-04  -1.45765e-01
-   2  sg_p1        8.93634e+00   2.54070e-01   1.22745e-03   1.31782e+00
-   3  sg_p2        3.32548e+02   4.51761e+00   3.94465e-05   4.21778e-01
-   4  sg_p3        3.77657e+01   3.43807e+00   7.96253e-05  -6.47692e-01
-   5  sg_p4        6.96961e-01   1.47151e-02   3.39870e-04  -8.20745e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.151e-02 -8.628e-03  5.304e-02 -9.587e-02 -5.312e-04 
- -8.628e-03  6.725e-02 -7.432e-01  5.794e-01  2.412e-03 
-  5.304e-02 -7.432e-01  2.041e+01 -1.440e+01 -2.542e-02 
- -9.587e-02  5.794e-01 -1.440e+01  1.184e+01  2.153e-02 
- -5.312e-04  2.412e-03 -2.542e-02  2.153e-02  2.176e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26808   1.000 -0.163  0.058 -0.137 -0.177
-        2  0.76639  -0.163  1.000 -0.634  0.650  0.630
-        3  0.93070   0.058 -0.634  1.000 -0.926 -0.381
-        4  0.93289  -0.137  0.650 -0.926  1.000  0.424
-        5  0.63913  -0.177  0.630 -0.381  0.424  1.000
-350
-351.369 +- 0.203746
-8.93634 +- 0.25407
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17593.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.78939e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.82009e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.40055e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.92268e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.69068e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM MIGRAD    STATUS=CONVERGED     320 CALLS         321 TOTAL
-                     EDM=1.73973e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51639e+02   2.04706e-01   7.22407e-04  -3.09735e-01
-   2  sg_p1        9.00000e+00   1.66126e-01   3.62658e-02  -7.99062e-03
-   3  sg_p2        3.36604e+02   2.77890e+00   9.23538e-04  -8.53328e-02
-   4  sg_p3        3.65924e+01   2.29934e+00   2.05397e-03  -4.59757e-02
-   5  sg_p4        7.00430e-01   1.16607e-02   8.31070e-03  -3.87898e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.191e-02  1.719e-06 -5.416e-02 -1.332e-02 -2.187e-04 
-  1.719e-06  1.229e-06  1.227e-04 -1.127e-04 -6.551e-07 
- -5.416e-02  1.227e-04  7.723e+00 -5.279e+00 -3.068e-03 
- -1.332e-02 -1.127e-04 -5.279e+00  5.290e+00  4.752e-03 
- -2.187e-04 -6.551e-07 -3.068e-03  4.752e-03  1.364e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22303   1.000  0.008 -0.095 -0.028 -0.091
-        2  0.06294   0.008  1.000  0.040 -0.044 -0.051
-        3  0.83540  -0.095  0.040  1.000 -0.826 -0.095
-        4  0.83755  -0.028 -0.044 -0.826  1.000  0.177
-        5  0.21502  -0.091 -0.051 -0.095  0.177  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16875.6 FROM HESSE     STATUS=OK             31 CALLS         352 TOTAL
-                     EDM=1.75499e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51639e+02   2.04671e-01   1.44481e-04  -1.34847e-01
-   2  sg_p1        9.00000e+00   1.66721e-01   7.25317e-03   1.56945e+00
-   3  sg_p2        3.36604e+02   2.84821e+00   1.84708e-04   4.48885e-01
-   4  sg_p3        3.65924e+01   2.35643e+00   8.21590e-05  -6.68882e-01
-   5  sg_p4        7.00430e-01   1.16522e-02   3.32428e-04  -7.92102e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.189e-02  2.314e-07 -5.503e-02 -1.229e-02 -2.144e-04 
-  2.314e-07  1.234e-06  1.775e-05 -1.618e-05 -8.940e-08 
- -5.503e-02  1.775e-05  8.113e+00 -5.607e+00 -3.304e-03 
- -1.229e-02 -1.618e-05 -5.607e+00  5.556e+00  4.919e-03 
- -2.144e-04 -8.940e-08 -3.304e-03  4.919e-03  1.362e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22229   1.000  0.001 -0.094 -0.025 -0.090
-        2  0.00867   0.001  1.000  0.006 -0.006 -0.007
-        3  0.84405  -0.094  0.006  1.000 -0.835 -0.099
-        4  0.84604  -0.025 -0.006 -0.835  1.000  0.179
-        5  0.21170  -0.090 -0.007 -0.099  0.179  1.000
-350
-351.639 +- 0.204671
-9 +- 0.166721
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17828.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.94800e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.62258e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.22820e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -3.94120e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.44291e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -6.7726e-02  3.7089e-01  9.5269e-01  1.7434e+00  2.0007e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.069727 TO DIAGONAL.
- FCN=17147.5 FROM HESSE     STATUS=NOT POSDEF     35 CALLS         251 TOTAL
-                     EDM=1.1309    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51658e+02   3.51659e-01   7.01219e-04  -5.40058e-02
-   2  sg_p1        8.97742e+00   2.95083e+00   6.13915e-02  -2.03655e-01
-   3  sg_p2        3.35380e+02   1.79447e+01   9.83548e-04   6.97732e-01
-   4  sg_p3        3.73975e+01   1.59176e+01   2.11985e-03   1.68496e-01
-   5  sg_p4        7.15638e-01   9.42908e-02   7.30647e-03  -1.11566e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM MIGRAD    STATUS=CONVERGED     369 CALLS         370 TOTAL
-                     EDM=4.09796e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51663e+02   1.99263e-01   7.00634e-04   4.55239e-02
-   2  sg_p1        8.93699e+00   2.96196e-01   2.96808e-02  -1.54899e-02
-   3  sg_p2        3.35749e+02   3.96525e+00   9.64449e-04  -8.88348e-03
-   4  sg_p3        3.70652e+01   3.34839e+00   2.10353e-03  -1.67958e-02
-   5  sg_p4        7.14101e-01   1.63480e-02   7.39271e-03  -2.31381e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.971e-02  9.041e-03  3.441e-02 -8.945e-02 -5.869e-04 
-  9.041e-03  7.788e-02  7.343e-01 -6.508e-01 -3.330e-03 
-  3.441e-02  7.343e-01  1.573e+01 -1.210e+01 -3.297e-02 
- -8.945e-02 -6.508e-01 -1.210e+01  1.123e+01  3.115e-02 
- -5.869e-04 -3.330e-03 -3.297e-02  3.115e-02  2.686e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26818   1.000  0.163  0.044 -0.134 -0.180
-        2  0.81011   0.163  1.000  0.664 -0.696 -0.728
-        3  0.91607   0.044  0.664  1.000 -0.911 -0.507
-        4  0.92336  -0.134 -0.696 -0.911  1.000  0.567
-        5  0.73770  -0.180 -0.728 -0.507  0.567  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17147.5 FROM HESSE     STATUS=OK             31 CALLS         401 TOTAL
-                     EDM=3.78098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51663e+02   1.98626e-01   1.40127e-04  -1.33882e-01
-   2  sg_p1        8.93699e+00   2.60351e-01   1.18723e-03   1.82247e+00
-   3  sg_p2        3.35749e+02   3.94847e+00   3.85780e-05   4.43146e-01
-   4  sg_p3        3.70652e+01   3.31177e+00   8.41412e-05  -6.60300e-01
-   5  sg_p4        7.14101e-01   1.54021e-02   2.95708e-04  -6.86338e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.945e-02  7.419e-03  1.957e-02 -7.558e-02 -4.983e-04 
-  7.419e-03  6.823e-02  6.530e-01 -5.744e-01 -2.764e-03 
-  1.957e-02  6.530e-01  1.559e+01 -1.191e+01 -2.828e-02 
- -7.558e-02 -5.744e-01 -1.191e+01  1.098e+01  2.678e-02 
- -4.983e-04 -2.764e-03 -2.828e-02  2.678e-02  2.383e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25680   1.000  0.143  0.025 -0.115 -0.163
-        2  0.77869   0.143  1.000  0.633 -0.664 -0.686
-        3  0.91532   0.025  0.633  1.000 -0.910 -0.464
-        4  0.92158  -0.115 -0.664 -0.910  1.000  0.524
-        5  0.69729  -0.163 -0.686 -0.464  0.524  1.000
-350
-351.663 +- 0.198626
-8.93699 +- 0.260351
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16599.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   3.57504e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -5.44923e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.17494e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -4.08170e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   5.21506e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             37 CALLS         314 TOTAL
-                     EDM=0.000648585    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.15714e-01   7.19414e-04   4.43718e-02
-   2  sg_p1        8.99487e+00   3.57548e+00   7.75677e-02   1.91574e-02
-   3  sg_p2        3.37608e+02   4.45408e+00   8.83711e-04  -1.12364e-01
-   4  sg_p3        3.54407e+01   4.01631e+00   2.01394e-03   2.05443e-02
-   5  sg_p4        7.05167e-01   2.51719e-02   7.97965e-03   2.01078e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 13.9403 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM MIGRAD    STATUS=CONVERGED     457 CALLS         458 TOTAL
-                     EDM=6.3256e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51693e+02   2.10894e-01   7.19542e-04  -1.67564e-01
-   2  sg_p1        9.00000e+00   3.24335e+00   1.16287e-01** at limit **
-   3  sg_p2        3.37572e+02   3.03107e+00   8.85564e-04  -1.40083e-01
-   4  sg_p3        3.54732e+01   2.61363e+00   2.01712e-03  -2.42748e-02
-   5  sg_p4        7.05375e-01   1.51863e-02   7.98331e-03   2.92592e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.448e-02  6.249e-05 -2.584e-02 -4.146e-02 -4.052e-04 
-  6.249e-05  8.943e-06  4.513e-03 -4.212e-03 -2.775e-05 
- -2.584e-02  4.513e-03  9.189e+00 -6.814e+00 -1.858e-02 
- -4.146e-02 -4.212e-03 -6.814e+00  6.836e+00  1.914e-02 
- -4.052e-04 -2.775e-05 -1.858e-02  1.914e-02  2.317e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24408   1.000  0.099 -0.040 -0.075 -0.126
-        2  0.67618   0.099  1.000  0.498 -0.539 -0.610
-        3  0.86794  -0.040  0.498  1.000 -0.860 -0.403
-        4  0.87833  -0.075 -0.539 -0.860  1.000  0.481
-        5  0.64024  -0.126 -0.610 -0.403  0.481  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15939.1 FROM HESSE     STATUS=OK             35 CALLS         493 TOTAL
-                     EDM=7.60914e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51693e+02   2.11707e-01   1.43908e-04  -1.32683e-01
-   2  sg_p1        9.00000e+00   3.40291e-01   4.74451e-01   1.56997e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        3.37572e+02   3.47654e+00   1.77113e-04   4.55410e-01
-   4  sg_p3        3.54732e+01   3.03978e+00   8.06848e-05  -6.89429e-01
-   5  sg_p4        7.05375e-01   1.75095e-02   3.19332e-04  -7.52647e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.482e-02  2.743e-05  3.917e-03 -6.861e-02 -5.663e-04 
-  2.743e-05  9.504e-07  2.150e-03 -1.992e-03 -1.243e-05 
-  3.917e-03  2.150e-03  1.209e+01 -9.464e+00 -3.305e-02 
- -6.861e-02 -1.992e-03 -9.464e+00  9.250e+00  3.240e-02 
- -5.663e-04 -1.243e-05 -3.305e-02  3.240e-02  3.085e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25843   1.000  0.133  0.005 -0.107 -0.152
-        2  0.78663   0.133  1.000  0.634 -0.672 -0.726
-        3  0.90139   0.005  0.634  1.000 -0.895 -0.541
-        4  0.91165  -0.107 -0.672 -0.895  1.000  0.606
-        5  0.74619  -0.152 -0.726 -0.541  0.606  1.000
-350
-351.693 +- 0.211707
-9 +- 0.340291
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18950.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.55000e+02   5.00000e+00   2.01358e-01   4.06912e+03
-   2  sg_p1        7.00000e+00   4.00000e-01   2.01358e-01  -6.21556e+02
-   3  sg_p2        2.65000e+02   3.30000e+01   2.01358e-01  -2.53873e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -5.05415e+01
-   5  sg_p4        8.25000e-01   3.50000e-02   2.01358e-01   6.02316e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.05452 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.6627e-03  4.3650e-01  9.4912e-01  1.6697e+00  1.9524e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.009615 TO DIAGONAL.
- FCN=18191.7 FROM MIGRAD    STATUS=CONVERGED     438 CALLS         439 TOTAL
-                     EDM=2.38291e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.51688e+02   3.06549e-01   7.21716e-04   1.38139e-02
-   2  sg_p1        8.99221e+00   3.97298e+00   7.87824e-02  -1.20842e-03
-   3  sg_p2        3.37548e+02   1.63062e+01   8.85928e-04   1.17278e-02
-   4  sg_p3        3.56395e+01   1.51287e+01   2.01699e-03   1.74046e-02
-   5  sg_p4        7.02105e-01   9.20868e-02   8.19474e-03  -1.20385e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.398e-02  3.866e-01  3.761e+00 -3.594e+00 -2.447e-02 
-  3.866e-01  2.690e+00  2.650e+01 -2.493e+01 -1.690e-01 
-  3.761e+00  2.650e+01  2.670e+02 -2.495e+02 -1.668e+00 
- -3.594e+00 -2.493e+01 -2.495e+02  2.351e+02  1.571e+00 
- -2.447e-02 -1.690e-01 -1.668e+00  1.571e+00  1.074e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.78192   1.000  0.769  0.751 -0.765 -0.770
-        2  0.99585   0.769  1.000  0.989 -0.991 -0.994
-        3  0.99631   0.751  0.989  1.000 -0.996 -0.985
-        4  0.99710  -0.765 -0.991 -0.996  1.000  0.989
-        5  0.99443  -0.770 -0.994 -0.985  0.989  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2500
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2541e-02  4.4218e-01  9.5025e-01  1.6636e+00  1.9565e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.014497 TO DIAGONAL.
- FCN=18191.7 FROM HESSE     STATUS=NOT POSDEF     37 CALLS         476 TOTAL
-                     EDM=6.23545e-06    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.51688e+02   2.98004e-01   1.44343e-04  -1.32867e-01
-   2  sg_p1        8.99221e+00   3.99098e+00   5.00000e-01   1.65911e+00
-   3  sg_p2        3.37548e+02   1.66076e+01   3.54371e-05   4.55246e-01
-   4  sg_p3        3.56395e+01   1.53152e+01   8.06796e-05  -6.86354e-01
-   5  sg_p4        7.02105e-01   8.98453e-02   3.27790e-04  -7.78566e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.881e-02  1.322e-01  3.655e+00 -3.473e+00 -2.261e-02 
-  1.322e-01  3.453e-01  9.674e+00 -9.044e+00 -5.859e-02 
-  3.655e+00  9.674e+00  2.770e+02 -2.574e+02 -1.645e+00 
- -3.473e+00 -9.044e+00 -2.574e+02  2.411e+02  1.540e+00 
- -2.261e-02 -5.859e-02 -1.645e+00  1.540e+00  1.007e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.76862   1.000  0.755  0.737 -0.751 -0.756
-        2  0.99570   0.755  1.000  0.989 -0.991 -0.994
-        3  0.99646   0.737  0.989  1.000 -0.996 -0.985
-        4  0.99718  -0.751 -0.991 -0.996  1.000  0.988
-        5  0.99409  -0.756 -0.994 -0.985  0.988  1.000
- ERR MATRIX NOT POS-DEF
-350
-351.688 +- 0.298004
-8.99221 +- 3.99098
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 351.69 +- 0.205801 (stat) - 0.321347 + 0.270579 (syst); -0.33742/+0.289485 (total)
-   Uncertainty on sg_p1 = 8.9999 +- 0.47252 (stat) - 0.0635526 + 0.000102014 (syst); -0.244659/+0.23626 (total)
-   Uncertainty on sg_p2 = 337.532 +- 3.63434 (stat) - 4.98423 + 3.06364 (syst); -5.30516/+3.56202 (total)
-   Uncertainty on sg_p3 = 35.585 +- 3.20621 (stat) - 1.06732 + 2.18069 (syst); -1.92591/+2.70654 (total)
-   Uncertainty on sg_p4 = 0.703842 +- 0.0185963 (stat) - 0.00688091 + 0.0102594 (syst); -0.0115673/+0.013846 (total) 
-   === Baseline plot === </br>
-   norm = 541.084
-JEC     lnN   1.0101  -
-JER     lnN   1.00905  -
-btag    lnN   1.06649  -
-sg_p0   param   351.69 -0.33742/+0.289485
-sg_p1   param   8.9999 -0.244659/+0.23626
-sg_p2   param   337.532  -5.30516/+3.56202
-sg_p3   param   35.585  -1.92591/+2.70654
-sg_p4   param   0.703842  -0.0115673/+0.013846 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out
deleted file mode 100644
index d0ff362..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.190
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 4.54718e-11  -4.54718e-11/+3  (68% CL)
-nll S+B -> -0.00503617  nll B -> -0.00503627
-Done in 0.01 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out
deleted file mode 100644
index 136cfb9..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.131466:	q_mu = 3.84836	q_A  = 3.84824	CLsb = 0.02490	CLb  = 0.49999	CLs  = 0.04980
-
- -- Asymptotic -- 
-Observed Limit: r < 0.1315
-Expected  2.5%: r < 0.0685
-Expected 16.0%: r < 0.0926
-Expected 50.0%: r < 0.1313
-Expected 84.0%: r < 0.1884
-Expected 97.5%: r < 0.2618
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt
deleted file mode 100644
index 21ca104..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/datacard_400_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  790.651 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06523    -
-JER       lnN     1.01925   - 
-JEC       lnN     1.00381   -
-trigger   lnN     1.10    -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/signal400_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/signal400_sig.log
deleted file mode 100644
index 9acbb71..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_crystal_1_285_624/signal400_sig.log
+++ /dev/null
@@ -1,869 +0,0 @@
-
-Processing test.c...
-nSignal_init = 299800
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33249 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.15243e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   1.37205e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.80805e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.17737e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.38307e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=1.96152e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.85506e+02   3.78343e-01   1.28380e-03  -1.79696e-02
-   2  sg_p1        2.16205e+01   3.35235e-01   1.80013e-03  -1.11987e-02
-   3  sg_p2        3.70000e+02   1.32448e-01   9.45540e-03** at limit **
-   4  sg_p3        6.22011e+01   2.14887e+00   4.32821e-03   3.71767e-02
-   5  sg_p4        7.86673e-01   1.32740e-02   2.60376e-03  -4.77327e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.431e-01 -3.809e-02 -1.363e-08 -2.470e-01 -1.694e-03 
- -3.809e-02  1.124e-01  1.303e-09  3.035e-01  2.581e-03 
- -1.363e-08  1.303e-09  4.343e-10  9.091e-11 -1.595e-10 
- -2.470e-01  3.035e-01  9.091e-11  4.621e+00  1.948e-02 
- -1.694e-03  2.581e-03 -1.595e-10  1.948e-02  1.763e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37324   1.000 -0.300 -0.002 -0.304 -0.337
-        2  0.59095  -0.300  1.000  0.000  0.421  0.580
-        3  0.00218  -0.002  0.000  1.000  0.000 -0.001
-        4  0.68717  -0.304  0.421  0.000  1.000  0.682
-        5  0.75833  -0.337  0.580 -0.001  0.682  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM HESSE     STATUS=OK             31 CALLS         195 TOTAL
-                     EDM=1.96284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.85506e+02   3.78550e-01   5.13518e-05  -2.74710e-01
-   2  sg_p1        2.16205e+01   3.35880e-01   7.20051e-05   6.51457e-03
-   3  sg_p2        3.70000e+02   1.32456e-01   1.89108e-03  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.22011e+01   2.15536e+00   1.73128e-04   1.60716e-01
-   5  sg_p4        7.86673e-01   1.33169e-02   5.20752e-04   6.10583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.433e-01 -3.844e-02 -2.714e-09 -2.490e-01 -1.705e-03 
- -3.844e-02  1.128e-01  2.582e-10  3.070e-01  2.603e-03 
- -2.714e-09  2.582e-10  4.343e-10  2.856e-11 -3.187e-11 
- -2.490e-01  3.070e-01  2.856e-11  4.649e+00  1.966e-02 
- -1.705e-03  2.603e-03 -3.187e-11  1.966e-02  1.774e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37450   1.000 -0.302 -0.000 -0.305 -0.338
-        2  0.59306  -0.302  1.000  0.000  0.424  0.582
-        3  0.00043  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68946  -0.305  0.424  0.000  1.000  0.685
-        5  0.76013  -0.338  0.582 -0.000  0.685  1.000
-400
-385.506 +- 0.37855
-21.6205 +- 0.33588
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33081 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   1.81151e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.25726e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.70388e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.66591e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.95873e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM MIGRAD    STATUS=CONVERGED     160 CALLS         161 TOTAL
-                     EDM=5.64365e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.87437e+02   3.85764e-01   1.26589e-03  -5.15663e-01
-   2  sg_p1        2.16839e+01   3.35523e-01   1.79115e-03   1.07532e-01
-   3  sg_p2        3.70000e+02   1.39833e-01   9.73370e-03** at limit **
-   4  sg_p3        6.08508e+01   2.10095e+00   4.12758e-03   3.24347e-02
-   5  sg_p4        7.89007e-01   1.33639e-02   2.62549e-03  -2.60744e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-01 -4.305e-02 -2.519e-07 -2.764e-01 -1.946e-03 
- -4.305e-02  1.126e-01 -9.366e-09  3.008e-01  2.619e-03 
- -2.519e-07 -9.366e-09  1.704e-07 -3.173e-07 -6.072e-09 
- -2.764e-01  3.008e-01 -3.173e-07  4.417e+00  1.920e-02 
- -1.946e-03  2.619e-03 -6.072e-09  1.920e-02  1.787e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41597   1.000 -0.333 -0.002 -0.341 -0.377
-        2  0.59692  -0.333  1.000 -0.000  0.427  0.584
-        3  0.00247  -0.002 -0.000  1.000 -0.000 -0.001
-        4  0.68971  -0.341  0.427 -0.000  1.000  0.684
-        5  0.76090  -0.377  0.584 -0.001  0.684  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM HESSE     STATUS=OK             31 CALLS         192 TOTAL
-                     EDM=5.65901e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.87437e+02   3.86035e-01   2.53178e-04  -2.17803e-01
-   2  sg_p1        2.16839e+01   3.36156e-01   7.16461e-05   9.94233e-03
-   3  sg_p2        3.70000e+02   1.39842e-01   1.94674e-03  -1.57091e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.08508e+01   2.10696e+00   1.65103e-04   1.30388e-01
-   5  sg_p4        7.89007e-01   1.34047e-02   5.25097e-04   6.16292e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.490e-01 -4.342e-02 -4.545e-08 -2.786e-01 -1.959e-03 
- -4.342e-02  1.130e-01 -1.794e-09  3.041e-01  2.641e-03 
- -4.545e-08 -1.794e-09  1.704e-07 -5.759e-08 -1.102e-09 
- -2.786e-01  3.041e-01 -5.759e-08  4.443e+00  1.938e-02 
- -1.959e-03  2.641e-03 -1.102e-09  1.938e-02  1.798e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41736   1.000 -0.335 -0.000 -0.342 -0.378
-        2  0.59895  -0.335  1.000 -0.000  0.429  0.586
-        3  0.00045  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.69187  -0.342  0.429 -0.000  1.000  0.686
-        5  0.76259  -0.378  0.586 -0.000  0.686  1.000
-400
-387.437 +- 0.386035
-21.6839 +- 0.336156
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33253.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.45970e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.71903e+00
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.91853e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -8.75244e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.55185e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=3.35227e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.83669e+02   3.75050e-01   1.31711e-03   2.71422e-01
-   2  sg_p1        2.15657e+01   3.35007e-01   1.81860e-03   2.93721e-01
-   3  sg_p2        3.70000e+02   1.18706e-01   8.94035e-03** at limit **
-   4  sg_p3        6.23837e+01   2.11611e+00   4.26491e-03   6.14124e-02
-   5  sg_p4        7.79157e-01   1.33723e-02   2.61066e-03  -1.92762e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.407e-01 -3.293e-02 -8.781e-08 -2.099e-01 -1.470e-03 
- -3.293e-02  1.122e-01  1.601e-08  2.882e-01  2.545e-03 
- -8.781e-08  1.601e-08  1.802e-08  1.177e-07 -2.465e-10 
- -2.099e-01  2.882e-01  1.177e-07  4.481e+00  1.922e-02 
- -1.470e-03  2.545e-03 -2.465e-10  1.922e-02  1.789e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32654   1.000 -0.262 -0.002 -0.264 -0.293
-        2  0.57704  -0.262  1.000  0.000  0.406  0.568
-        3  0.00196  -0.002  0.000  1.000  0.000 -0.000
-        4  0.68265  -0.264  0.406  0.000  1.000  0.679
-        5  0.75308  -0.293  0.568 -0.000  0.679  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM HESSE     STATUS=OK             31 CALLS         190 TOTAL
-                     EDM=3.3512e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.83669e+02   3.75180e-01   2.63421e-04  -3.29696e-01
-   2  sg_p1        2.15657e+01   3.35505e-01   3.63719e-04   3.55092e-03
-   3  sg_p2        3.70000e+02   1.18712e-01   1.78807e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.23837e+01   2.12217e+00   1.70597e-04   1.64828e-01
-   5  sg_p4        7.79157e-01   1.34121e-02   5.22132e-04   5.92353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.408e-01 -3.318e-02 -1.693e-08 -2.114e-01 -1.478e-03 
- -3.318e-02  1.126e-01  3.095e-09  2.911e-01  2.564e-03 
- -1.693e-08  3.095e-09  1.803e-08  2.290e-08 -4.701e-11 
- -2.114e-01  2.911e-01  2.290e-08  4.507e+00  1.940e-02 
- -1.478e-03  2.564e-03 -4.701e-11  1.940e-02  1.799e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32749   1.000 -0.264 -0.000 -0.265 -0.294
-        2  0.57875  -0.264  1.000  0.000  0.409  0.570
-        3  0.00038  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68487  -0.265  0.409  0.000  1.000  0.681
-        5  0.75478  -0.294  0.570 -0.000  0.681  1.000
-400
-383.669 +- 0.37518
-21.5657 +- 0.335505
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24472.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.05856e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.09033e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.48368e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.94112e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.96270e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM MIGRAD    STATUS=CONVERGED     509 CALLS         510 TOTAL
-                     EDM=2.5866e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03031e+02   2.26519e-01   7.06422e-04  -6.24953e-01
-   2  sg_p1        9.12153e+00   3.63993e-01   2.95185e-03  -8.05301e-02
-   3  sg_p2        3.99298e+02   7.10621e-01   6.21816e-04   1.57926e-02
-   4  sg_p3        2.14947e+01   1.13267e+00   1.39396e-03  -1.73297e-02
-   5  sg_p4        6.42062e-01   4.06347e-02   2.84361e-03   2.63915e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.131e-02 -2.172e-02  2.774e-02 -8.091e-02 -2.646e-03 
- -2.172e-02  1.327e-01  1.233e-01  3.176e-01  1.317e-02 
-  2.774e-02  1.233e-01  5.050e-01  3.697e-01  1.525e-02 
- -8.091e-02  3.176e-01  3.697e-01  1.283e+00  4.116e-02 
- -2.646e-03  1.317e-02  1.525e-02  4.116e-02  1.655e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49329   1.000 -0.263  0.172 -0.315 -0.287
-        2  0.89097  -0.263  1.000  0.476  0.770  0.889
-        3  0.62717   0.172  0.476  1.000  0.459  0.527
-        4  0.89690  -0.315  0.770  0.459  1.000  0.893
-        5  0.94977  -0.287  0.889  0.527  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM HESSE     STATUS=OK             31 CALLS         541 TOTAL
-                     EDM=2.57939e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03031e+02   2.26798e-01   1.41284e-04   1.01207e-01
-   2  sg_p1        9.12153e+00   3.64169e-01   5.90369e-04   2.02560e-02
-   3  sg_p2        3.99298e+02   7.06750e-01   2.48726e-05   2.54828e+00
-   4  sg_p3        2.14947e+01   1.13406e+00   5.57583e-05  -9.89569e-01
-   5  sg_p4        6.42062e-01   4.06652e-02   5.68723e-04   2.88093e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.144e-02 -2.202e-02  2.804e-02 -8.193e-02 -2.679e-03 
- -2.202e-02  1.328e-01  1.208e-01  3.183e-01  1.319e-02 
-  2.804e-02  1.208e-01  4.995e-01  3.614e-01  1.495e-02 
- -8.193e-02  3.183e-01  3.614e-01  1.286e+00  4.125e-02 
- -2.679e-03  1.319e-02  1.495e-02  4.125e-02  1.658e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49518   1.000 -0.266  0.175 -0.319 -0.290
-        2  0.89108  -0.266  1.000  0.469  0.770  0.889
-        3  0.62183   0.175  0.469  1.000  0.451  0.520
-        4  0.89717  -0.319  0.770  0.451  1.000  0.893
-        5  0.94985  -0.290  0.889  0.520  0.893  1.000
-400
-403.031 +- 0.226798
-9.12153 +- 0.364169
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24696.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.50567e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.99560e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.90457e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.28000e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50850e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM MIGRAD    STATUS=CONVERGED     461 CALLS         462 TOTAL
-                     EDM=2.05098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03536e+02   2.36042e-01   7.27613e-04   1.38133e-01
-   2  sg_p1        9.26052e+00   3.88073e-01   3.03064e-03   3.06014e-03
-   3  sg_p2        3.99846e+02   7.05843e-01   6.16081e-04   4.24773e-01
-   4  sg_p3        2.13604e+01   1.14532e+00   1.37198e-03   1.42343e-01
-   5  sg_p4        6.36255e-01   4.36783e-02   2.89979e-03  -2.83285e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.572e-02 -2.634e-02  2.796e-02 -9.283e-02 -3.232e-03 
- -2.634e-02  1.508e-01  1.325e-01  3.480e-01  1.525e-02 
-  2.796e-02  1.325e-01  4.982e-01  3.683e-01  1.636e-02 
- -9.283e-02  3.480e-01  3.683e-01  1.312e+00  4.510e-02 
- -3.232e-03  1.525e-02  1.636e-02  4.510e-02  1.913e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.51806   1.000 -0.287  0.168 -0.343 -0.313
-        2  0.90009  -0.287  1.000  0.483  0.782  0.898
-        3  0.63614   0.168  0.483  1.000  0.456  0.530
-        4  0.90455  -0.343  0.782  0.456  1.000  0.900
-        5  0.95487  -0.313  0.898  0.530  0.900  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM HESSE     STATUS=OK             31 CALLS         493 TOTAL
-                     EDM=2.03888e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03536e+02   2.36409e-01   1.45523e-04   1.18130e-01
-   2  sg_p1        9.26052e+00   3.89977e-01   1.21225e-04   4.34340e-02
-   3  sg_p2        3.99846e+02   7.03519e-01   1.23216e-04   2.54251e+00
-   4  sg_p3        2.13604e+01   1.15130e+00   5.48791e-05  -9.93073e-01
-   5  sg_p4        6.36255e-01   4.39145e-02   5.79958e-04   2.76000e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.589e-02 -2.689e-02  2.803e-02 -9.446e-02 -3.293e-03 
- -2.689e-02  1.523e-01  1.317e-01  3.524e-01  1.543e-02 
-  2.803e-02  1.317e-01  4.949e-01  3.651e-01  1.624e-02 
- -9.446e-02  3.524e-01  3.651e-01  1.326e+00  4.564e-02 
- -3.293e-03  1.543e-02  1.624e-02  4.564e-02  1.934e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.52024   1.000 -0.291  0.169 -0.347 -0.317
-        2  0.90112  -0.291  1.000  0.480  0.784  0.899
-        3  0.63303   0.169  0.480  1.000  0.451  0.525
-        4  0.90559  -0.347  0.784  0.451  1.000  0.901
-        5  0.95536  -0.317  0.899  0.525  0.901  1.000
-400
-403.536 +- 0.236409
-9.26052 +- 0.389977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24015.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.73383e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.14601e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.01620e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.59452e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.70364e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM MIGRAD    STATUS=CONVERGED     571 CALLS         572 TOTAL
-                     EDM=2.11975e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02655e+02   2.13288e-01   6.62907e-04  -4.46168e-01
-   2  sg_p1        9.23949e+00   3.37872e-01   2.75680e-03  -1.32311e-01
-   3  sg_p2        3.98219e+02   8.68178e-01   7.02928e-04   2.98040e-01
-   4  sg_p3        2.22778e+01   1.33749e+00   1.59705e-03  -1.34034e-01
-   5  sg_p4        6.87624e-01   3.80009e-02   2.77016e-03   9.90234e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.549e-02 -1.871e-02  2.077e-02 -9.028e-02 -2.314e-03 
- -1.871e-02  1.143e-01  1.614e-01  3.481e-01  1.139e-02 
-  2.077e-02  1.614e-01  7.538e-01  6.352e-01  2.015e-02 
- -9.028e-02  3.481e-01  6.352e-01  1.790e+00  4.538e-02 
- -2.314e-03  1.139e-02  2.015e-02  4.538e-02  1.447e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48247   1.000 -0.259  0.112 -0.316 -0.285
-        2  0.88740  -0.259  1.000  0.550  0.770  0.886
-        3  0.68165   0.112  0.550  1.000  0.547  0.610
-        4  0.89573  -0.316  0.770  0.547  1.000  0.892
-        5  0.94802  -0.285  0.886  0.610  0.892  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM HESSE     STATUS=OK             31 CALLS         603 TOTAL
-                     EDM=2.11621e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02655e+02   2.13549e-01   1.32581e-04   8.86008e-02
-   2  sg_p1        9.23949e+00   3.38145e-01   5.51360e-04   3.99260e-02
-   3  sg_p2        3.98219e+02   8.63799e-01   1.40586e-04   2.55955e+00
-   4  sg_p3        2.22778e+01   1.33974e+00   6.38820e-05  -9.69500e-01
-   5  sg_p4        6.87624e-01   3.80543e-02   5.54033e-04   3.84665e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.560e-02 -1.897e-02  2.093e-02 -9.145e-02 -2.344e-03 
- -1.897e-02  1.145e-01  1.594e-01  3.492e-01  1.142e-02 
-  2.093e-02  1.594e-01  7.462e-01  6.264e-01  1.990e-02 
- -9.145e-02  3.492e-01  6.264e-01  1.796e+00  4.554e-02 
- -2.344e-03  1.142e-02  1.990e-02  4.554e-02  1.451e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48441   1.000 -0.263  0.113 -0.320 -0.288
-        2  0.88760  -0.263  1.000  0.545  0.770  0.886
-        3  0.67765   0.113  0.545  1.000  0.541  0.605
-        4  0.89610  -0.320  0.770  0.541  1.000  0.892
-        5  0.94817  -0.288  0.886  0.605  0.892  1.000
-400
-402.655 +- 0.213549
-9.23949 +- 0.338145
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23933.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.00563e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.26149e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.57290e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.98719e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.58184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23482 FROM MIGRAD    STATUS=CONVERGED     425 CALLS         426 TOTAL
-                     EDM=1.98551e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03064e+02   2.30766e-01   4.51369e-05   5.86157e-01
-   2  sg_p1        9.18055e+00   3.67314e-01  -4.43730e-04   8.55470e-03
-   3  sg_p2        3.99566e+02   7.08192e-01  -8.00128e-05  -4.66991e-01
-   4  sg_p3        2.13892e+01   1.12890e+00   4.69804e-04  -1.79727e-01
-   5  sg_p4        6.36669e-01   4.03843e-02   7.38905e-05   1.36445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.325e-02 -2.904e-02  2.726e-02 -9.686e-02 -3.527e-03 
- -2.904e-02  1.351e-01  1.202e-01  3.188e-01  1.315e-02 
-  2.726e-02  1.202e-01  5.015e-01  3.501e-01  1.456e-02 
- -9.686e-02  3.188e-01  3.501e-01  1.275e+00  4.101e-02 
- -3.527e-03  1.315e-02  1.456e-02  4.101e-02  1.635e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.56644   1.000 -0.342  0.167 -0.372 -0.378
-        2  0.88731  -0.342  1.000  0.462  0.768  0.885
-        3  0.64043   0.167  0.462  1.000  0.438  0.509
-        4  0.90083  -0.372  0.768  0.438  1.000  0.898
-        5  0.95189  -0.378  0.885  0.509  0.898  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23482 FROM HESSE     STATUS=OK             35 CALLS         461 TOTAL
-                     EDM=5.54045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03064e+02   2.33269e-01   7.19455e-04   1.02309e-01
-   2  sg_p1        9.18055e+00   3.92591e-01   3.01012e-03   3.00958e-02
-   3  sg_p2        3.99566e+02   7.11832e-01   6.13401e-04   2.54546e+00
-   4  sg_p3        2.13892e+01   1.16905e+00   1.37125e-03  -9.92320e-01
-   5  sg_p4        6.36669e-01   4.39485e-02   2.87997e-03   2.76861e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.442e-02 -2.298e-02  3.133e-02 -8.326e-02 -2.828e-03 
- -2.298e-02  1.543e-01  1.349e-01  3.609e-01  1.554e-02 
-  3.133e-02  1.349e-01  5.067e-01  3.816e-01  1.648e-02 
- -8.326e-02  3.609e-01  3.816e-01  1.367e+00  4.638e-02 
- -2.828e-03  1.554e-02  1.648e-02  4.638e-02  1.937e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49395   1.000 -0.251  0.189 -0.305 -0.275
-        2  0.90095  -0.251  1.000  0.482  0.786  0.899
-        3  0.63094   0.189  0.482  1.000  0.459  0.526
-        4  0.90514  -0.305  0.786  0.459  1.000  0.901
-        5  0.95480  -0.275  0.899  0.526  0.901  1.000
-400
-403.064 +- 0.233269
-9.18055 +- 0.392591
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24885.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.11264e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.79480e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39340e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.92985e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.63355e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM MIGRAD    STATUS=CONVERGED     428 CALLS         429 TOTAL
-                     EDM=7.26443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02955e+02   2.19114e-01   6.87184e-04  -4.52991e-01
-   2  sg_p1        9.16571e+00   3.57674e-01   2.86480e-03  -1.28599e-01
-   3  sg_p2        3.99199e+02   7.40925e-01   6.46031e-04   5.84783e-01
-   4  sg_p3        2.16431e+01   1.21207e+00   1.45003e-03  -5.04696e-01
-   5  sg_p4        6.62907e-01   4.05793e-02   2.83164e-03   1.71367e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.801e-02 -2.192e-02  2.514e-02 -8.718e-02 -2.692e-03 
- -2.192e-02  1.281e-01  1.292e-01  3.393e-01  1.300e-02 
-  2.514e-02  1.292e-01  5.490e-01  4.252e-01  1.618e-02 
- -8.718e-02  3.393e-01  4.252e-01  1.470e+00  4.429e-02 
- -2.692e-03  1.300e-02  1.618e-02  4.429e-02  1.651e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49883   1.000 -0.280  0.155 -0.328 -0.302
-        2  0.89599  -0.280  1.000  0.487  0.782  0.894
-        3  0.63326   0.155  0.487  1.000  0.473  0.538
-        4  0.90259  -0.328  0.782  0.473  1.000  0.899
-        5  0.95237  -0.302  0.894  0.538  0.899  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM HESSE     STATUS=OK             31 CALLS         460 TOTAL
-                     EDM=7.27657e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02955e+02   2.19385e-01   1.37437e-04   9.86503e-02
-   2  sg_p1        9.16571e+00   3.58424e-01   5.72960e-04   2.76226e-02
-   3  sg_p2        3.99199e+02   7.37765e-01   1.29206e-04   2.54932e+00
-   4  sg_p3        2.16431e+01   1.21551e+00   2.90006e-04  -9.85719e-01
-   5  sg_p4        6.62907e-01   4.06836e-02   5.66328e-04   3.31874e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.813e-02 -2.225e-02  2.533e-02 -8.836e-02 -2.729e-03 
- -2.225e-02  1.286e-01  1.275e-01  3.414e-01  1.307e-02 
-  2.533e-02  1.275e-01  5.443e-01  4.191e-01  1.598e-02 
- -8.836e-02  3.414e-01  4.191e-01  1.478e+00  4.455e-02 
- -2.729e-03  1.307e-02  1.598e-02  4.455e-02  1.659e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50069   1.000 -0.283  0.157 -0.331 -0.305
-        2  0.89645  -0.283  1.000  0.482  0.783  0.895
-        3  0.62918   0.157  0.482  1.000  0.467  0.532
-        4  0.90317  -0.331  0.783  0.467  1.000  0.900
-        5  0.95262  -0.305  0.895  0.532  0.900  1.000
-400
-402.955 +- 0.219385
-9.16571 +- 0.358424
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22933.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.87100e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.93992e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39002e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.82300e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50242e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM MIGRAD    STATUS=CONVERGED     449 CALLS         450 TOTAL
-                     EDM=1.18063e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.33943e-01   7.06213e-04   9.04520e-02
-   2  sg_p1        9.10686e+00   3.76352e-01   2.94856e-03  -2.29097e-02
-   3  sg_p2        3.99344e+02   7.27483e-01   6.18170e-04  -1.42732e-01
-   4  sg_p3        2.14204e+01   1.15968e+00   1.38769e-03   7.24703e-02
-   5  sg_p4        6.41123e-01   4.21101e-02   2.84478e-03  -3.40374e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.473e-02 -2.306e-02  3.001e-02 -8.509e-02 -2.816e-03 
- -2.306e-02  1.418e-01  1.295e-01  3.363e-01  1.412e-02 
-  3.001e-02  1.295e-01  5.292e-01  3.838e-01  1.605e-02 
- -8.509e-02  3.363e-01  3.838e-01  1.345e+00  4.369e-02 
- -2.816e-03  1.412e-02  1.605e-02  4.369e-02  1.778e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49289   1.000 -0.262  0.176 -0.314 -0.285
-        2  0.89116  -0.262  1.000  0.473  0.770  0.889
-        3  0.62460   0.176  0.473  1.000  0.455  0.523
-        4  0.89709  -0.314  0.770  0.455  1.000  0.893
-        5  0.94991  -0.285  0.889  0.523  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM HESSE     STATUS=OK             31 CALLS         481 TOTAL
-                     EDM=1.18704e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.34247e-01   1.41243e-04   1.01255e-01
-   2  sg_p1        9.10686e+00   3.78028e-01   1.17943e-04   1.78107e-02
-   3  sg_p2        3.99344e+02   7.25174e-01   1.23634e-04   2.54779e+00
-   4  sg_p3        2.14204e+01   1.16522e+00   5.55076e-05  -9.91505e-01
-   5  sg_p4        6.41123e-01   4.23208e-02   5.68957e-04   2.86134e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.487e-02 -2.352e-02  3.007e-02 -8.655e-02 -2.868e-03 
- -2.352e-02  1.431e-01  1.286e-01  3.403e-01  1.427e-02 
-  3.007e-02  1.286e-01  5.259e-01  3.804e-01  1.593e-02 
- -8.655e-02  3.403e-01  3.804e-01  1.358e+00  4.417e-02 
- -2.868e-03  1.427e-02  1.593e-02  4.417e-02  1.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49488   1.000 -0.265  0.177 -0.317 -0.289
-        2  0.89218  -0.265  1.000  0.469  0.772  0.890
-        3  0.62148   0.177  0.469  1.000  0.450  0.519
-        4  0.89813  -0.317  0.772  0.450  1.000  0.894
-        5  0.95042  -0.289  0.890  0.519  0.894  1.000
-400
-403.032 +- 0.234247
-9.10686 +- 0.378028
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26088.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.25521e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.24913e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.58204e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.06494e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.44374e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.85098 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (43592.9) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=411.751, sg_p1=10.1393, sg_p2=221.646, sg_p3=12.3173, sg_p4=0.392797
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=352.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=355.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=358.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=361.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=364.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=367.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=370.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=373.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=376.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=379.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=382.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=385.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-    ... (remaining 23 messages suppressed)
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM MIGRAD    STATUS=CONVERGED     410 CALLS         411 TOTAL
-                     EDM=8.53169e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.19508e-01   7.06641e-04   2.77604e-01
-   2  sg_p1        9.13654e+00   3.52245e-01   2.95146e-03   6.85002e-02
-   3  sg_p2        3.99251e+02   6.94391e-01   6.24869e-04  -5.23482e-02
-   4  sg_p3        2.15673e+01   1.10701e+00   1.40379e-03   1.05606e-01
-   5  sg_p4        6.42963e-01   3.92422e-02   2.83913e-03  -5.31174e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.818e-02 -2.053e-02  2.561e-02 -7.720e-02 -2.495e-03 
- -2.053e-02  1.242e-01  1.174e-01  3.004e-01  1.231e-02 
-  2.561e-02  1.174e-01  4.822e-01  3.562e-01  1.450e-02 
- -7.720e-02  3.004e-01  3.562e-01  1.226e+00  3.884e-02 
- -2.495e-03  1.231e-02  1.450e-02  3.884e-02  1.543e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49407   1.000 -0.265  0.168 -0.318 -0.289
-        2  0.89076  -0.265  1.000  0.480  0.770  0.889
-        3  0.62968   0.168  0.480  1.000  0.463  0.531
-        4  0.89677  -0.318  0.770  0.463  1.000  0.893
-        5  0.94966  -0.289  0.889  0.531  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM HESSE     STATUS=OK             31 CALLS         442 TOTAL
-                     EDM=8.53668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.19804e-01   1.41328e-04   1.01235e-01
-   2  sg_p1        9.13654e+00   3.53820e-01   1.18058e-04   2.27585e-02
-   3  sg_p2        3.99251e+02   6.92171e-01   1.24974e-04   2.54877e+00
-   4  sg_p3        2.15673e+01   1.11233e+00   5.61518e-05  -9.87685e-01
-   5  sg_p4        6.42963e-01   3.94399e-02   5.67827e-04   2.89973e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.831e-02 -2.094e-02  2.565e-02 -7.854e-02 -2.542e-03 
- -2.094e-02  1.253e-01  1.167e-01  3.040e-01  1.244e-02 
-  2.565e-02  1.167e-01  4.791e-01  3.532e-01  1.440e-02 
- -7.854e-02  3.040e-01  3.532e-01  1.238e+00  3.927e-02 
- -2.542e-03  1.244e-02  1.440e-02  3.927e-02  1.559e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49612   1.000 -0.269  0.169 -0.321 -0.293
-        2  0.89179  -0.269  1.000  0.476  0.772  0.890
-        3  0.62659   0.169  0.476  1.000  0.459  0.527
-        4  0.89781  -0.321  0.772  0.459  1.000  0.894
-        5  0.95017  -0.293  0.890  0.527  0.894  1.000
-400
-403.032 +- 0.219804
-9.13654 +- 0.35382
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 403.031 +- 0.226798 (stat) - 0.376479 + 0.504637 (syst); -0.393186/+0.517221 (total)
-   Uncertainty on sg_p1 = 9.12153 +- 0.364169 (stat) - 0.014669 + 0.138994 (syst); -0.182675/+0.229073 (total)
-   Uncertainty on sg_p2 = 399.298 +- 0.70675 (stat) - 1.07894 + 0.548609 (syst); -1.13534/+0.652569 (total)
-   Uncertainty on sg_p3 = 21.4947 +- 1.13406 (stat) - 0.134294 + 0.783059 (syst); -0.582718/+0.966802 (total)
-   Uncertainty on sg_p4 = 0.642062 +- 0.0406652 (stat) - 0.00580743 + 0.0455621 (syst); -0.0211457/+0.049893 (total) 
-   === Baseline plot === </br>
-   norm = 790.651
-JEC     lnN   1.00381  -
-JER     lnN   1.01925  -
-btag    lnN   1.06523  -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out
deleted file mode 100644
index 45e92db..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.060
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 3.60339e-05  -3.60339e-05/+0.0643626  (68% CL)
-nll S+B -> -0.0632699  nll B -> -0.0632699
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out
deleted file mode 100644
index 2a7529d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/CMS_HH4b_400_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.130617:	q_mu = 3.84447	q_A  = 3.86279	CLsb = 0.02496	CLb  = 0.50186	CLs  = 0.04973
-
- -- Asymptotic -- 
-Observed Limit: r < 0.1306
-Expected  2.5%: r < 0.0685
-Expected 16.0%: r < 0.0922
-Expected 50.0%: r < 0.1304
-Expected 84.0%: r < 0.1865
-Expected 97.5%: r < 0.2578
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt
deleted file mode 100644
index 727e855..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/datacard_400_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_400.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  790.651 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06523    -
-JER       lnN     1.01925   - 
-JEC       lnN     1.00381   -
-trigger   lnN     1.10    -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/signal400_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/signal400_sig.log
deleted file mode 100644
index 9acbb71..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_400_novo_285_624/signal400_sig.log
+++ /dev/null
@@ -1,869 +0,0 @@
-
-Processing test.c...
-nSignal_init = 299800
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33249 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.15243e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   1.37205e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.80805e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.17737e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.38307e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=1.96152e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.85506e+02   3.78343e-01   1.28380e-03  -1.79696e-02
-   2  sg_p1        2.16205e+01   3.35235e-01   1.80013e-03  -1.11987e-02
-   3  sg_p2        3.70000e+02   1.32448e-01   9.45540e-03** at limit **
-   4  sg_p3        6.22011e+01   2.14887e+00   4.32821e-03   3.71767e-02
-   5  sg_p4        7.86673e-01   1.32740e-02   2.60376e-03  -4.77327e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.431e-01 -3.809e-02 -1.363e-08 -2.470e-01 -1.694e-03 
- -3.809e-02  1.124e-01  1.303e-09  3.035e-01  2.581e-03 
- -1.363e-08  1.303e-09  4.343e-10  9.091e-11 -1.595e-10 
- -2.470e-01  3.035e-01  9.091e-11  4.621e+00  1.948e-02 
- -1.694e-03  2.581e-03 -1.595e-10  1.948e-02  1.763e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37324   1.000 -0.300 -0.002 -0.304 -0.337
-        2  0.59095  -0.300  1.000  0.000  0.421  0.580
-        3  0.00218  -0.002  0.000  1.000  0.000 -0.001
-        4  0.68717  -0.304  0.421  0.000  1.000  0.682
-        5  0.75833  -0.337  0.580 -0.001  0.682  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31857.3 FROM HESSE     STATUS=OK             31 CALLS         195 TOTAL
-                     EDM=1.96284e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.85506e+02   3.78550e-01   5.13518e-05  -2.74710e-01
-   2  sg_p1        2.16205e+01   3.35880e-01   7.20051e-05   6.51457e-03
-   3  sg_p2        3.70000e+02   1.32456e-01   1.89108e-03  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.22011e+01   2.15536e+00   1.73128e-04   1.60716e-01
-   5  sg_p4        7.86673e-01   1.33169e-02   5.20752e-04   6.10583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.433e-01 -3.844e-02 -2.714e-09 -2.490e-01 -1.705e-03 
- -3.844e-02  1.128e-01  2.582e-10  3.070e-01  2.603e-03 
- -2.714e-09  2.582e-10  4.343e-10  2.856e-11 -3.187e-11 
- -2.490e-01  3.070e-01  2.856e-11  4.649e+00  1.966e-02 
- -1.705e-03  2.603e-03 -3.187e-11  1.966e-02  1.774e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.37450   1.000 -0.302 -0.000 -0.305 -0.338
-        2  0.59306  -0.302  1.000  0.000  0.424  0.582
-        3  0.00043  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68946  -0.305  0.424  0.000  1.000  0.685
-        5  0.76013  -0.338  0.582 -0.000  0.685  1.000
-400
-385.506 +- 0.37855
-21.6205 +- 0.33588
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33081 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   1.81151e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.25726e+02
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.70388e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -5.66591e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -9.95873e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM MIGRAD    STATUS=CONVERGED     160 CALLS         161 TOTAL
-                     EDM=5.64365e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.87437e+02   3.85764e-01   1.26589e-03  -5.15663e-01
-   2  sg_p1        2.16839e+01   3.35523e-01   1.79115e-03   1.07532e-01
-   3  sg_p2        3.70000e+02   1.39833e-01   9.73370e-03** at limit **
-   4  sg_p3        6.08508e+01   2.10095e+00   4.12758e-03   3.24347e-02
-   5  sg_p4        7.89007e-01   1.33639e-02   2.62549e-03  -2.60744e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.488e-01 -4.305e-02 -2.519e-07 -2.764e-01 -1.946e-03 
- -4.305e-02  1.126e-01 -9.366e-09  3.008e-01  2.619e-03 
- -2.519e-07 -9.366e-09  1.704e-07 -3.173e-07 -6.072e-09 
- -2.764e-01  3.008e-01 -3.173e-07  4.417e+00  1.920e-02 
- -1.946e-03  2.619e-03 -6.072e-09  1.920e-02  1.787e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41597   1.000 -0.333 -0.002 -0.341 -0.377
-        2  0.59692  -0.333  1.000 -0.000  0.427  0.584
-        3  0.00247  -0.002 -0.000  1.000 -0.000 -0.001
-        4  0.68971  -0.341  0.427 -0.000  1.000  0.684
-        5  0.76090  -0.377  0.584 -0.001  0.684  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31839.3 FROM HESSE     STATUS=OK             31 CALLS         192 TOTAL
-                     EDM=5.65901e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.87437e+02   3.86035e-01   2.53178e-04  -2.17803e-01
-   2  sg_p1        2.16839e+01   3.36156e-01   7.16461e-05   9.94233e-03
-   3  sg_p2        3.70000e+02   1.39842e-01   1.94674e-03  -1.57091e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.08508e+01   2.10696e+00   1.65103e-04   1.30388e-01
-   5  sg_p4        7.89007e-01   1.34047e-02   5.25097e-04   6.16292e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.490e-01 -4.342e-02 -4.545e-08 -2.786e-01 -1.959e-03 
- -4.342e-02  1.130e-01 -1.794e-09  3.041e-01  2.641e-03 
- -4.545e-08 -1.794e-09  1.704e-07 -5.759e-08 -1.102e-09 
- -2.786e-01  3.041e-01 -5.759e-08  4.443e+00  1.938e-02 
- -1.959e-03  2.641e-03 -1.102e-09  1.938e-02  1.798e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.41736   1.000 -0.335 -0.000 -0.342 -0.378
-        2  0.59895  -0.335  1.000 -0.000  0.429  0.586
-        3  0.00045  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.69187  -0.342  0.429 -0.000  1.000  0.686
-        5  0.76259  -0.378  0.586 -0.000  0.686  1.000
-400
-387.437 +- 0.386035
-21.6839 +- 0.336156
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33253.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.95000e+02   7.00000e+00   2.01358e-01   2.45970e+03
-   2  sg_p1        2.15000e+01   3.70000e+00   2.01358e-01   2.71903e+00
-   3  sg_p2        4.15000e+02   9.00000e+00   2.01358e-01   1.91853e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -8.75244e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.55185e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=3.35227e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        3.83669e+02   3.75050e-01   1.31711e-03   2.71422e-01
-   2  sg_p1        2.15657e+01   3.35007e-01   1.81860e-03   2.93721e-01
-   3  sg_p2        3.70000e+02   1.18706e-01   8.94035e-03** at limit **
-   4  sg_p3        6.23837e+01   2.11611e+00   4.26491e-03   6.14124e-02
-   5  sg_p4        7.79157e-01   1.33723e-02   2.61066e-03  -1.92762e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.407e-01 -3.293e-02 -8.781e-08 -2.099e-01 -1.470e-03 
- -3.293e-02  1.122e-01  1.601e-08  2.882e-01  2.545e-03 
- -8.781e-08  1.601e-08  1.802e-08  1.177e-07 -2.465e-10 
- -2.099e-01  2.882e-01  1.177e-07  4.481e+00  1.922e-02 
- -1.470e-03  2.545e-03 -2.465e-10  1.922e-02  1.789e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32654   1.000 -0.262 -0.002 -0.264 -0.293
-        2  0.57704  -0.262  1.000  0.000  0.406  0.568
-        3  0.00196  -0.002  0.000  1.000  0.000 -0.000
-        4  0.68265  -0.264  0.406  0.000  1.000  0.679
-        5  0.75308  -0.293  0.568 -0.000  0.679  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31693.5 FROM HESSE     STATUS=OK             31 CALLS         190 TOTAL
-                     EDM=3.3512e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        3.83669e+02   3.75180e-01   2.63421e-04  -3.29696e-01
-   2  sg_p1        2.15657e+01   3.35505e-01   3.63719e-04   3.55092e-03
-   3  sg_p2        3.70000e+02   1.18712e-01   1.78807e-03  -1.57084e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        6.23837e+01   2.12217e+00   1.70597e-04   1.64828e-01
-   5  sg_p4        7.79157e-01   1.34121e-02   5.22132e-04   5.92353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.408e-01 -3.318e-02 -1.693e-08 -2.114e-01 -1.478e-03 
- -3.318e-02  1.126e-01  3.095e-09  2.911e-01  2.564e-03 
- -1.693e-08  3.095e-09  1.803e-08  2.290e-08 -4.701e-11 
- -2.114e-01  2.911e-01  2.290e-08  4.507e+00  1.940e-02 
- -1.478e-03  2.564e-03 -4.701e-11  1.940e-02  1.799e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32749   1.000 -0.264 -0.000 -0.265 -0.294
-        2  0.57875  -0.264  1.000  0.000  0.409  0.570
-        3  0.00038  -0.000  0.000  1.000  0.000 -0.000
-        4  0.68487  -0.265  0.409  0.000  1.000  0.681
-        5  0.75478  -0.294  0.570 -0.000  0.681  1.000
-400
-383.669 +- 0.37518
-21.5657 +- 0.335505
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24472.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.05856e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.09033e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.48368e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.94112e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.96270e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM MIGRAD    STATUS=CONVERGED     509 CALLS         510 TOTAL
-                     EDM=2.5866e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03031e+02   2.26519e-01   7.06422e-04  -6.24953e-01
-   2  sg_p1        9.12153e+00   3.63993e-01   2.95185e-03  -8.05301e-02
-   3  sg_p2        3.99298e+02   7.10621e-01   6.21816e-04   1.57926e-02
-   4  sg_p3        2.14947e+01   1.13267e+00   1.39396e-03  -1.73297e-02
-   5  sg_p4        6.42062e-01   4.06347e-02   2.84361e-03   2.63915e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.131e-02 -2.172e-02  2.774e-02 -8.091e-02 -2.646e-03 
- -2.172e-02  1.327e-01  1.233e-01  3.176e-01  1.317e-02 
-  2.774e-02  1.233e-01  5.050e-01  3.697e-01  1.525e-02 
- -8.091e-02  3.176e-01  3.697e-01  1.283e+00  4.116e-02 
- -2.646e-03  1.317e-02  1.525e-02  4.116e-02  1.655e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49329   1.000 -0.263  0.172 -0.315 -0.287
-        2  0.89097  -0.263  1.000  0.476  0.770  0.889
-        3  0.62717   0.172  0.476  1.000  0.459  0.527
-        4  0.89690  -0.315  0.770  0.459  1.000  0.893
-        5  0.94977  -0.287  0.889  0.527  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24016.6 FROM HESSE     STATUS=OK             31 CALLS         541 TOTAL
-                     EDM=2.57939e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03031e+02   2.26798e-01   1.41284e-04   1.01207e-01
-   2  sg_p1        9.12153e+00   3.64169e-01   5.90369e-04   2.02560e-02
-   3  sg_p2        3.99298e+02   7.06750e-01   2.48726e-05   2.54828e+00
-   4  sg_p3        2.14947e+01   1.13406e+00   5.57583e-05  -9.89569e-01
-   5  sg_p4        6.42062e-01   4.06652e-02   5.68723e-04   2.88093e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.144e-02 -2.202e-02  2.804e-02 -8.193e-02 -2.679e-03 
- -2.202e-02  1.328e-01  1.208e-01  3.183e-01  1.319e-02 
-  2.804e-02  1.208e-01  4.995e-01  3.614e-01  1.495e-02 
- -8.193e-02  3.183e-01  3.614e-01  1.286e+00  4.125e-02 
- -2.679e-03  1.319e-02  1.495e-02  4.125e-02  1.658e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49518   1.000 -0.266  0.175 -0.319 -0.290
-        2  0.89108  -0.266  1.000  0.469  0.770  0.889
-        3  0.62183   0.175  0.469  1.000  0.451  0.520
-        4  0.89717  -0.319  0.770  0.451  1.000  0.893
-        5  0.94985  -0.290  0.889  0.520  0.893  1.000
-400
-403.031 +- 0.226798
-9.12153 +- 0.364169
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24696.6 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.50567e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.99560e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.90457e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.28000e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50850e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM MIGRAD    STATUS=CONVERGED     461 CALLS         462 TOTAL
-                     EDM=2.05098e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03536e+02   2.36042e-01   7.27613e-04   1.38133e-01
-   2  sg_p1        9.26052e+00   3.88073e-01   3.03064e-03   3.06014e-03
-   3  sg_p2        3.99846e+02   7.05843e-01   6.16081e-04   4.24773e-01
-   4  sg_p3        2.13604e+01   1.14532e+00   1.37198e-03   1.42343e-01
-   5  sg_p4        6.36255e-01   4.36783e-02   2.89979e-03  -2.83285e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.572e-02 -2.634e-02  2.796e-02 -9.283e-02 -3.232e-03 
- -2.634e-02  1.508e-01  1.325e-01  3.480e-01  1.525e-02 
-  2.796e-02  1.325e-01  4.982e-01  3.683e-01  1.636e-02 
- -9.283e-02  3.480e-01  3.683e-01  1.312e+00  4.510e-02 
- -3.232e-03  1.525e-02  1.636e-02  4.510e-02  1.913e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.51806   1.000 -0.287  0.168 -0.343 -0.313
-        2  0.90009  -0.287  1.000  0.483  0.782  0.898
-        3  0.63614   0.168  0.483  1.000  0.456  0.530
-        4  0.90455  -0.343  0.782  0.456  1.000  0.900
-        5  0.95487  -0.313  0.898  0.530  0.900  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24177.3 FROM HESSE     STATUS=OK             31 CALLS         493 TOTAL
-                     EDM=2.03888e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03536e+02   2.36409e-01   1.45523e-04   1.18130e-01
-   2  sg_p1        9.26052e+00   3.89977e-01   1.21225e-04   4.34340e-02
-   3  sg_p2        3.99846e+02   7.03519e-01   1.23216e-04   2.54251e+00
-   4  sg_p3        2.13604e+01   1.15130e+00   5.48791e-05  -9.93073e-01
-   5  sg_p4        6.36255e-01   4.39145e-02   5.79958e-04   2.76000e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.589e-02 -2.689e-02  2.803e-02 -9.446e-02 -3.293e-03 
- -2.689e-02  1.523e-01  1.317e-01  3.524e-01  1.543e-02 
-  2.803e-02  1.317e-01  4.949e-01  3.651e-01  1.624e-02 
- -9.446e-02  3.524e-01  3.651e-01  1.326e+00  4.564e-02 
- -3.293e-03  1.543e-02  1.624e-02  4.564e-02  1.934e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.52024   1.000 -0.291  0.169 -0.347 -0.317
-        2  0.90112  -0.291  1.000  0.480  0.784  0.899
-        3  0.63303   0.169  0.480  1.000  0.451  0.525
-        4  0.90559  -0.347  0.784  0.451  1.000  0.901
-        5  0.95536  -0.317  0.899  0.525  0.901  1.000
-400
-403.536 +- 0.236409
-9.26052 +- 0.389977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24015.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.73383e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.14601e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.01620e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.59452e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.70364e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM MIGRAD    STATUS=CONVERGED     571 CALLS         572 TOTAL
-                     EDM=2.11975e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02655e+02   2.13288e-01   6.62907e-04  -4.46168e-01
-   2  sg_p1        9.23949e+00   3.37872e-01   2.75680e-03  -1.32311e-01
-   3  sg_p2        3.98219e+02   8.68178e-01   7.02928e-04   2.98040e-01
-   4  sg_p3        2.22778e+01   1.33749e+00   1.59705e-03  -1.34034e-01
-   5  sg_p4        6.87624e-01   3.80009e-02   2.77016e-03   9.90234e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.549e-02 -1.871e-02  2.077e-02 -9.028e-02 -2.314e-03 
- -1.871e-02  1.143e-01  1.614e-01  3.481e-01  1.139e-02 
-  2.077e-02  1.614e-01  7.538e-01  6.352e-01  2.015e-02 
- -9.028e-02  3.481e-01  6.352e-01  1.790e+00  4.538e-02 
- -2.314e-03  1.139e-02  2.015e-02  4.538e-02  1.447e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48247   1.000 -0.259  0.112 -0.316 -0.285
-        2  0.88740  -0.259  1.000  0.550  0.770  0.886
-        3  0.68165   0.112  0.550  1.000  0.547  0.610
-        4  0.89573  -0.316  0.770  0.547  1.000  0.892
-        5  0.94802  -0.285  0.886  0.610  0.892  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23589.1 FROM HESSE     STATUS=OK             31 CALLS         603 TOTAL
-                     EDM=2.11621e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02655e+02   2.13549e-01   1.32581e-04   8.86008e-02
-   2  sg_p1        9.23949e+00   3.38145e-01   5.51360e-04   3.99260e-02
-   3  sg_p2        3.98219e+02   8.63799e-01   1.40586e-04   2.55955e+00
-   4  sg_p3        2.22778e+01   1.33974e+00   6.38820e-05  -9.69500e-01
-   5  sg_p4        6.87624e-01   3.80543e-02   5.54033e-04   3.84665e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.560e-02 -1.897e-02  2.093e-02 -9.145e-02 -2.344e-03 
- -1.897e-02  1.145e-01  1.594e-01  3.492e-01  1.142e-02 
-  2.093e-02  1.594e-01  7.462e-01  6.264e-01  1.990e-02 
- -9.145e-02  3.492e-01  6.264e-01  1.796e+00  4.554e-02 
- -2.344e-03  1.142e-02  1.990e-02  4.554e-02  1.451e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.48441   1.000 -0.263  0.113 -0.320 -0.288
-        2  0.88760  -0.263  1.000  0.545  0.770  0.886
-        3  0.67765   0.113  0.545  1.000  0.541  0.605
-        4  0.89610  -0.320  0.770  0.541  1.000  0.892
-        5  0.94817  -0.288  0.886  0.605  0.892  1.000
-400
-402.655 +- 0.213549
-9.23949 +- 0.338145
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23933.8 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.00563e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.26149e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.57290e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.98719e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.58184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23482 FROM MIGRAD    STATUS=CONVERGED     425 CALLS         426 TOTAL
-                     EDM=1.98551e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03064e+02   2.30766e-01   4.51369e-05   5.86157e-01
-   2  sg_p1        9.18055e+00   3.67314e-01  -4.43730e-04   8.55470e-03
-   3  sg_p2        3.99566e+02   7.08192e-01  -8.00128e-05  -4.66991e-01
-   4  sg_p3        2.13892e+01   1.12890e+00   4.69804e-04  -1.79727e-01
-   5  sg_p4        6.36669e-01   4.03843e-02   7.38905e-05   1.36445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.325e-02 -2.904e-02  2.726e-02 -9.686e-02 -3.527e-03 
- -2.904e-02  1.351e-01  1.202e-01  3.188e-01  1.315e-02 
-  2.726e-02  1.202e-01  5.015e-01  3.501e-01  1.456e-02 
- -9.686e-02  3.188e-01  3.501e-01  1.275e+00  4.101e-02 
- -3.527e-03  1.315e-02  1.456e-02  4.101e-02  1.635e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.56644   1.000 -0.342  0.167 -0.372 -0.378
-        2  0.88731  -0.342  1.000  0.462  0.768  0.885
-        3  0.64043   0.167  0.462  1.000  0.438  0.509
-        4  0.90083  -0.372  0.768  0.438  1.000  0.898
-        5  0.95189  -0.378  0.885  0.509  0.898  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23482 FROM HESSE     STATUS=OK             35 CALLS         461 TOTAL
-                     EDM=5.54045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03064e+02   2.33269e-01   7.19455e-04   1.02309e-01
-   2  sg_p1        9.18055e+00   3.92591e-01   3.01012e-03   3.00958e-02
-   3  sg_p2        3.99566e+02   7.11832e-01   6.13401e-04   2.54546e+00
-   4  sg_p3        2.13892e+01   1.16905e+00   1.37125e-03  -9.92320e-01
-   5  sg_p4        6.36669e-01   4.39485e-02   2.87997e-03   2.76861e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.442e-02 -2.298e-02  3.133e-02 -8.326e-02 -2.828e-03 
- -2.298e-02  1.543e-01  1.349e-01  3.609e-01  1.554e-02 
-  3.133e-02  1.349e-01  5.067e-01  3.816e-01  1.648e-02 
- -8.326e-02  3.609e-01  3.816e-01  1.367e+00  4.638e-02 
- -2.828e-03  1.554e-02  1.648e-02  4.638e-02  1.937e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49395   1.000 -0.251  0.189 -0.305 -0.275
-        2  0.90095  -0.251  1.000  0.482  0.786  0.899
-        3  0.63094   0.189  0.482  1.000  0.459  0.526
-        4  0.90514  -0.305  0.786  0.459  1.000  0.901
-        5  0.95480  -0.275  0.899  0.526  0.901  1.000
-400
-403.064 +- 0.233269
-9.18055 +- 0.392591
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24885.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.11264e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.79480e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39340e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.92985e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.63355e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM MIGRAD    STATUS=CONVERGED     428 CALLS         429 TOTAL
-                     EDM=7.26443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.02955e+02   2.19114e-01   6.87184e-04  -4.52991e-01
-   2  sg_p1        9.16571e+00   3.57674e-01   2.86480e-03  -1.28599e-01
-   3  sg_p2        3.99199e+02   7.40925e-01   6.46031e-04   5.84783e-01
-   4  sg_p3        2.16431e+01   1.21207e+00   1.45003e-03  -5.04696e-01
-   5  sg_p4        6.62907e-01   4.05793e-02   2.83164e-03   1.71367e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.801e-02 -2.192e-02  2.514e-02 -8.718e-02 -2.692e-03 
- -2.192e-02  1.281e-01  1.292e-01  3.393e-01  1.300e-02 
-  2.514e-02  1.292e-01  5.490e-01  4.252e-01  1.618e-02 
- -8.718e-02  3.393e-01  4.252e-01  1.470e+00  4.429e-02 
- -2.692e-03  1.300e-02  1.618e-02  4.429e-02  1.651e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49883   1.000 -0.280  0.155 -0.328 -0.302
-        2  0.89599  -0.280  1.000  0.487  0.782  0.894
-        3  0.63326   0.155  0.487  1.000  0.473  0.538
-        4  0.90259  -0.328  0.782  0.473  1.000  0.899
-        5  0.95237  -0.302  0.894  0.538  0.899  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24409.7 FROM HESSE     STATUS=OK             31 CALLS         460 TOTAL
-                     EDM=7.27657e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.02955e+02   2.19385e-01   1.37437e-04   9.86503e-02
-   2  sg_p1        9.16571e+00   3.58424e-01   5.72960e-04   2.76226e-02
-   3  sg_p2        3.99199e+02   7.37765e-01   1.29206e-04   2.54932e+00
-   4  sg_p3        2.16431e+01   1.21551e+00   2.90006e-04  -9.85719e-01
-   5  sg_p4        6.62907e-01   4.06836e-02   5.66328e-04   3.31874e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.813e-02 -2.225e-02  2.533e-02 -8.836e-02 -2.729e-03 
- -2.225e-02  1.286e-01  1.275e-01  3.414e-01  1.307e-02 
-  2.533e-02  1.275e-01  5.443e-01  4.191e-01  1.598e-02 
- -8.836e-02  3.414e-01  4.191e-01  1.478e+00  4.455e-02 
- -2.729e-03  1.307e-02  1.598e-02  4.455e-02  1.659e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50069   1.000 -0.283  0.157 -0.331 -0.305
-        2  0.89645  -0.283  1.000  0.482  0.783  0.895
-        3  0.62918   0.157  0.482  1.000  0.467  0.532
-        4  0.90317  -0.331  0.783  0.467  1.000  0.900
-        5  0.95262  -0.305  0.895  0.532  0.900  1.000
-400
-402.955 +- 0.219385
-9.16571 +- 0.358424
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22933.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -2.87100e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -1.93992e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.39002e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -1.82300e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -7.50242e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM MIGRAD    STATUS=CONVERGED     449 CALLS         450 TOTAL
-                     EDM=1.18063e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.33943e-01   7.06213e-04   9.04520e-02
-   2  sg_p1        9.10686e+00   3.76352e-01   2.94856e-03  -2.29097e-02
-   3  sg_p2        3.99344e+02   7.27483e-01   6.18170e-04  -1.42732e-01
-   4  sg_p3        2.14204e+01   1.15968e+00   1.38769e-03   7.24703e-02
-   5  sg_p4        6.41123e-01   4.21101e-02   2.84478e-03  -3.40374e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.473e-02 -2.306e-02  3.001e-02 -8.509e-02 -2.816e-03 
- -2.306e-02  1.418e-01  1.295e-01  3.363e-01  1.412e-02 
-  3.001e-02  1.295e-01  5.292e-01  3.838e-01  1.605e-02 
- -8.509e-02  3.363e-01  3.838e-01  1.345e+00  4.369e-02 
- -2.816e-03  1.412e-02  1.605e-02  4.369e-02  1.778e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49289   1.000 -0.262  0.176 -0.314 -0.285
-        2  0.89116  -0.262  1.000  0.473  0.770  0.889
-        3  0.62460   0.176  0.473  1.000  0.455  0.523
-        4  0.89709  -0.314  0.770  0.455  1.000  0.893
-        5  0.94991  -0.285  0.889  0.523  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22503.6 FROM HESSE     STATUS=OK             31 CALLS         481 TOTAL
-                     EDM=1.18704e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.34247e-01   1.41243e-04   1.01255e-01
-   2  sg_p1        9.10686e+00   3.78028e-01   1.17943e-04   1.78107e-02
-   3  sg_p2        3.99344e+02   7.25174e-01   1.23634e-04   2.54779e+00
-   4  sg_p3        2.14204e+01   1.16522e+00   5.55076e-05  -9.91505e-01
-   5  sg_p4        6.41123e-01   4.23208e-02   5.68957e-04   2.86134e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.487e-02 -2.352e-02  3.007e-02 -8.655e-02 -2.868e-03 
- -2.352e-02  1.431e-01  1.286e-01  3.403e-01  1.427e-02 
-  3.007e-02  1.286e-01  5.259e-01  3.804e-01  1.593e-02 
- -8.655e-02  3.403e-01  3.804e-01  1.358e+00  4.417e-02 
- -2.868e-03  1.427e-02  1.593e-02  4.417e-02  1.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49488   1.000 -0.265  0.177 -0.317 -0.289
-        2  0.89218  -0.265  1.000  0.469  0.772  0.890
-        3  0.62148   0.177  0.469  1.000  0.450  0.519
-        4  0.89813  -0.317  0.772  0.450  1.000  0.894
-        5  0.95042  -0.289  0.890  0.519  0.894  1.000
-400
-403.032 +- 0.234247
-9.10686 +- 0.378028
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26088.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.00000e+02   6.00000e+00   2.01358e-01  -3.25521e+03
-   2  sg_p1        9.00000e+00   1.20000e+00   2.01358e-01  -2.24913e+02
-   3  sg_p2        3.35000e+02   2.30000e+01   2.01358e-01  -1.58204e+02
-   4  sg_p3        8.00000e+01   1.40000e+01   2.01358e-01  -2.06494e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -8.44374e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.85098 added to diagonal of error matrix
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (43592.9) to force MIGRAD to back out of this region. Error log follows
-Parameter values: sg_p0=411.751, sg_p1=10.1393, sg_p2=221.646, sg_p3=12.3173, sg_p4=0.392797
-RooGaussian::signalComb[ x=x mean=sg_p2 sigma=sg_p3 ]
-     p.d.f normalization integral is zero or negative @ x=x=352.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=355.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=358.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=361.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=364.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=367.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=370.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=373.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=376.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=379.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=382.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-     p.d.f normalization integral is zero or negative @ x=x=385.5, mean=sg_p2=221.646, sigma=sg_p3=12.3173
-    ... (remaining 23 messages suppressed)
-
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM MIGRAD    STATUS=CONVERGED     410 CALLS         411 TOTAL
-                     EDM=8.53169e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.03032e+02   2.19508e-01   7.06641e-04   2.77604e-01
-   2  sg_p1        9.13654e+00   3.52245e-01   2.95146e-03   6.85002e-02
-   3  sg_p2        3.99251e+02   6.94391e-01   6.24869e-04  -5.23482e-02
-   4  sg_p3        2.15673e+01   1.10701e+00   1.40379e-03   1.05606e-01
-   5  sg_p4        6.42963e-01   3.92422e-02   2.83913e-03  -5.31174e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.818e-02 -2.053e-02  2.561e-02 -7.720e-02 -2.495e-03 
- -2.053e-02  1.242e-01  1.174e-01  3.004e-01  1.231e-02 
-  2.561e-02  1.174e-01  4.822e-01  3.562e-01  1.450e-02 
- -7.720e-02  3.004e-01  3.562e-01  1.226e+00  3.884e-02 
- -2.495e-03  1.231e-02  1.450e-02  3.884e-02  1.543e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49407   1.000 -0.265  0.168 -0.318 -0.289
-        2  0.89076  -0.265  1.000  0.480  0.770  0.889
-        3  0.62968   0.168  0.480  1.000  0.463  0.531
-        4  0.89677  -0.318  0.770  0.463  1.000  0.893
-        5  0.94966  -0.289  0.889  0.531  0.893  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25604.6 FROM HESSE     STATUS=OK             31 CALLS         442 TOTAL
-                     EDM=8.53668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.03032e+02   2.19804e-01   1.41328e-04   1.01235e-01
-   2  sg_p1        9.13654e+00   3.53820e-01   1.18058e-04   2.27585e-02
-   3  sg_p2        3.99251e+02   6.92171e-01   1.24974e-04   2.54877e+00
-   4  sg_p3        2.15673e+01   1.11233e+00   5.61518e-05  -9.87685e-01
-   5  sg_p4        6.42963e-01   3.94399e-02   5.67827e-04   2.89973e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.831e-02 -2.094e-02  2.565e-02 -7.854e-02 -2.542e-03 
- -2.094e-02  1.253e-01  1.167e-01  3.040e-01  1.244e-02 
-  2.565e-02  1.167e-01  4.791e-01  3.532e-01  1.440e-02 
- -7.854e-02  3.040e-01  3.532e-01  1.238e+00  3.927e-02 
- -2.542e-03  1.244e-02  1.440e-02  3.927e-02  1.559e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49612   1.000 -0.269  0.169 -0.321 -0.293
-        2  0.89179  -0.269  1.000  0.476  0.772  0.890
-        3  0.62659   0.169  0.476  1.000  0.459  0.527
-        4  0.89781  -0.321  0.772  0.459  1.000  0.894
-        5  0.95017  -0.293  0.890  0.527  0.894  1.000
-400
-403.032 +- 0.219804
-9.13654 +- 0.35382
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 403.031 +- 0.226798 (stat) - 0.376479 + 0.504637 (syst); -0.393186/+0.517221 (total)
-   Uncertainty on sg_p1 = 9.12153 +- 0.364169 (stat) - 0.014669 + 0.138994 (syst); -0.182675/+0.229073 (total)
-   Uncertainty on sg_p2 = 399.298 +- 0.70675 (stat) - 1.07894 + 0.548609 (syst); -1.13534/+0.652569 (total)
-   Uncertainty on sg_p3 = 21.4947 +- 1.13406 (stat) - 0.134294 + 0.783059 (syst); -0.582718/+0.966802 (total)
-   Uncertainty on sg_p4 = 0.642062 +- 0.0406652 (stat) - 0.00580743 + 0.0455621 (syst); -0.0211457/+0.049893 (total) 
-   === Baseline plot === </br>
-   norm = 790.651
-JEC     lnN   1.00381  -
-JER     lnN   1.01925  -
-btag    lnN   1.06523  -
-sg_p0   param   403.031 -0.393186/+0.517221
-sg_p1   param   9.12153 -0.182675/+0.229073
-sg_p2   param   399.298  -1.13534/+0.652569
-sg_p3   param   21.4947  -0.582718/+0.966802
-sg_p4   param   0.642062  -0.0211457/+0.049893 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out
deleted file mode 100644
index af043fc..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.410
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 8.27221e-08  -8.27221e-08/+2.87595  (68% CL)
-nll S+B -> -0.00503608  nll B -> -0.00503627
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out
deleted file mode 100644
index 118c73d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 2.753779:	q_mu = 2.62811	q_A  = 8.58456	CLsb = 0.05249	CLb  = 0.90470	CLs  = 0.05802
-
- -- Asymptotic -- 
-Observed Limit: r < 2.7538
-Expected  2.5%: r < 0.0451
-Expected 16.0%: r < 0.0605
-Expected 50.0%: r < 0.0854
-Expected 84.0%: r < 0.1226
-Expected 97.5%: r < 0.1703
-
-Done in 0.06 min (cpu), 0.06 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt
deleted file mode 100644
index 5e69bce..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/datacard_450_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1083.26 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06507    -
-JER       lnN     1.01521   - 
-JEC       lnN     1.00732   -
-trigger   lnN     1.10    -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/signal450_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/signal450_sig.log
deleted file mode 100644
index 758dffb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_crystal_1_285_624/signal450_sig.log
+++ /dev/null
@@ -1,849 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   9.40956e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.15795e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   5.60158e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.43253e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.02042e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=3.59834e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.33700e+02   5.20779e-01   1.28024e-03  -4.50888e-02
-   2  sg_p1        2.45512e+01   4.32325e-01   2.13929e-03   2.15071e-02
-   3  sg_p2        4.10000e+02   7.56422e-01   1.62500e-02** at limit **
-   4  sg_p3        9.59075e+01   9.76509e+00   3.57927e-02  -4.80697e-03
-   5  sg_p4        8.98300e-01   1.09856e-02   2.31920e-03   1.35348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.712e-01 -3.295e-02 -7.320e-06 -1.029e+00 -1.066e-03 
- -3.295e-02  1.870e-01  4.421e-06  1.512e+00  2.106e-03 
- -7.320e-06  4.421e-06  3.900e-05  3.605e-04  1.357e-07 
- -1.029e+00  1.512e+00  3.605e-04  1.055e+02  6.647e-02 
- -1.066e-03  2.106e-03  1.357e-07  6.647e-02  1.207e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22083   1.000 -0.146 -0.002 -0.192 -0.186
-        2  0.45738  -0.146  1.000  0.002  0.340  0.443
-        3  0.00601  -0.002  0.002  1.000  0.006  0.002
-        4  0.60064  -0.192  0.340  0.006  1.000  0.589
-        5  0.64515  -0.186  0.443  0.002  0.589  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=3.62828e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.33700e+02   5.22464e-01   2.56047e-04  -3.28756e-01
-   2  sg_p1        2.45512e+01   4.36897e-01   8.55715e-05   3.54316e-01
-   3  sg_p2        4.10000e+02   7.56439e-01   3.24999e-03  -1.56999e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.59075e+01   1.00551e+01   1.43171e-03   1.14101e+00
-   5  sg_p4        8.98300e-01   1.13202e-02   4.63840e-04   9.21649e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.730e-01 -3.575e-02 -2.151e-06 -1.151e+00 -1.179e-03 
- -3.575e-02  1.909e-01  1.441e-06  1.696e+00  2.279e-03 
- -2.151e-06  1.441e-06  3.900e-05  1.093e-04  4.737e-08 
- -1.151e+00  1.696e+00  1.093e-04  1.126e+02  7.452e-02 
- -1.179e-03  2.279e-03  4.737e-08  7.452e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23428   1.000 -0.157 -0.001 -0.208 -0.199
-        2  0.47504  -0.157  1.000  0.001  0.366  0.461
-        3  0.00175  -0.001  0.001  1.000  0.002  0.001
-        4  0.63167  -0.208  0.366  0.002  1.000  0.620
-        5  0.67100  -0.199  0.461  0.001  0.620  1.000
-450
-433.7 +- 0.522464
-24.5512 +- 0.436897
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14967 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   7.30094e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -7.17086e+01
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   4.92262e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   1.24799e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.52207e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM MIGRAD    STATUS=CONVERGED     225 CALLS         226 TOTAL
-                     EDM=1.40963e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.35880e+02   5.28453e-01   1.25742e-03   3.65467e-02
-   2  sg_p1        2.47804e+01   4.36143e-01   2.15058e-03   8.90109e-02
-   3  sg_p2        4.10000e+02   8.41699e-01   1.71227e-02** at limit **
-   4  sg_p3        9.34154e+01   9.89175e+00   2.81029e-02   3.92610e-03
-   5  sg_p4        9.04757e-01   1.10728e-02   2.34320e-03  -1.13912e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.793e-01 -4.062e-02 -3.574e-06 -1.243e+00 -1.334e-03 
- -4.062e-02  1.903e-01  1.963e-06  1.596e+00  2.205e-03 
- -3.574e-06  1.963e-06  1.004e-05  1.505e-04  5.291e-08 
- -1.243e+00  1.596e+00  1.505e-04  1.043e+02  6.945e-02 
- -1.334e-03  2.205e-03  5.291e-08  6.945e-02  1.227e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26417   1.000 -0.176 -0.002 -0.230 -0.228
-        2  0.47132  -0.176  1.000  0.001  0.358  0.457
-        3  0.00513  -0.002  0.001  1.000  0.005  0.002
-        4  0.62620  -0.230  0.358  0.005  1.000  0.614
-        5  0.66724  -0.228  0.457  0.002  0.614  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM HESSE     STATUS=OK             31 CALLS         257 TOTAL
-                     EDM=1.45125e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.35880e+02   5.30103e-01   2.51483e-04  -2.63606e-01
-   2  sg_p1        2.47804e+01   4.39593e-01   4.30116e-04   3.69632e-01
-   3  sg_p2        4.10000e+02   8.41739e-01   3.42455e-03  -1.57118e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.34154e+01   1.01144e+01   1.12412e-03   1.02300e+00
-   5  sg_p4        9.04757e-01   1.13218e-02   9.37280e-05   9.43325e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.810e-01 -4.308e-02 -6.126e-07 -1.344e+00 -1.432e-03 
- -4.308e-02  1.933e-01  3.606e-07  1.730e+00  2.336e-03 
- -6.126e-07  3.606e-07  1.004e-05  2.633e-05  1.041e-08 
- -1.344e+00  1.730e+00  2.633e-05  1.094e+02  7.528e-02 
- -1.432e-03  2.336e-03  1.041e-08  7.528e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27490   1.000 -0.185 -0.000 -0.242 -0.238
-        2  0.48405  -0.185  1.000  0.000  0.376  0.469
-        3  0.00087  -0.000  0.000  1.000  0.001  0.000
-        4  0.64751  -0.242  0.376  0.001  1.000  0.636
-        5  0.68509  -0.238  0.469  0.000  0.636  1.000
-450
-435.88 +- 0.530103
-24.7804 +- 0.439593
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14989.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   1.09913e+03
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.79281e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   6.15691e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.35305e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.43184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM MIGRAD    STATUS=CONVERGED     259 CALLS         260 TOTAL
-                     EDM=2.88948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.31562e+02   5.09368e-01   1.30052e-03  -5.36209e-02
-   2  sg_p1        2.44193e+01   3.99415e-01   2.10037e-03   1.06473e-02
-   3  sg_p2        4.10000e+02   7.22690e-01   1.57718e-02** at limit **
-   4  sg_p3        1.00000e+02   1.55471e+01   7.04637e-02** at limit **
-   5  sg_p4        8.97810e-01   8.75371e-03   2.28074e-03   2.04575e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.470e-02 -3.574e-07  3.497e-04 -3.281e-04 
- -1.470e-02  1.596e-01 -3.286e-08 -5.660e-04  1.020e-03 
- -3.574e-07 -3.286e-08  5.312e-07 -1.926e-08 -7.103e-09 
-  3.497e-04 -5.660e-04 -1.926e-08  1.262e-03 -2.615e-05 
- -3.281e-04  1.020e-03 -7.103e-09 -2.615e-05  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09157   1.000 -0.072 -0.001  0.019 -0.074
-        2  0.29639  -0.072  1.000 -0.000 -0.040  0.292
-        3  0.00174  -0.001 -0.000  1.000 -0.001 -0.001
-        4  0.08650   0.019 -0.040 -0.001  1.000 -0.084
-        5  0.30486  -0.074  0.292 -0.001 -0.084  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM HESSE     STATUS=OK             31 CALLS         291 TOTAL
-                     EDM=2.76365e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.31562e+02   5.09297e-01   2.60104e-04  -3.94063e-01
-   2  sg_p1        2.44193e+01   3.99210e-01   8.40147e-05   3.45541e-01
-   3  sg_p2        4.10000e+02   7.22718e-01   3.15436e-03  -1.57070e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        1.00000e+02   1.57628e+01   1.40927e-02   1.56988e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   5  sg_p4        8.97810e-01   8.72528e-03   9.12295e-05   9.20031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.594e-01 -1.474e-02 -7.385e-08  6.324e-05 -3.205e-04 
- -1.474e-02  1.594e-01 -8.717e-09 -1.029e-04  1.011e-03 
- -7.385e-08 -8.717e-09  5.312e-07 -7.301e-10 -1.575e-09 
-  6.324e-05 -1.029e-04 -7.301e-10  1.280e-03 -4.742e-06 
- -3.205e-04  1.011e-03 -1.575e-09 -4.742e-06  7.615e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09005   1.000 -0.072 -0.000  0.003 -0.072
-        2  0.29480  -0.072  1.000 -0.000 -0.007  0.290
-        3  0.00033  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.01563   0.003 -0.007 -0.000  1.000 -0.015
-        5  0.29498  -0.072  0.290 -0.000 -0.015  1.000
-450
-431.562 +- 0.509297
-24.4193 +- 0.39921
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12740.9 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.59626e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.90307e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.30862e+02
-   4  sg_p3        3.11611e+01   1.40000e+01  -7.72180e-01   1.25776e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.90098e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.72857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53121e+02   3.12103e-01   7.60916e-04  -1.37805e-01
-   2  sg_p1        1.32664e+01   3.51765e-01   1.66864e-03  -1.59663e-01
-   3  sg_p2        4.41850e+02   2.88341e+00   3.42150e-03  -4.30161e-02
-   4  sg_p3        3.99520e+01   3.27521e+00   2.78644e-03  -1.95155e-02
-   5  sg_p4        8.69549e-01   2.03464e-02   2.42525e-03   7.02356e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.741e-02 -2.019e-02 -5.897e-02 -2.380e-01 -1.352e-03 
- -2.019e-02  1.238e-01 -4.014e-01  6.784e-01  5.251e-03 
- -5.897e-02 -4.014e-01  8.322e+00 -4.133e+00 -2.949e-02 
- -2.380e-01  6.784e-01 -4.133e+00  1.074e+01  5.122e-02 
- -1.352e-03  5.251e-03 -2.949e-02  5.122e-02  4.145e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32114   1.000 -0.184 -0.066 -0.233 -0.213
-        2  0.73542  -0.184  1.000 -0.395  0.588  0.733
-        3  0.54335  -0.066 -0.395  1.000 -0.437 -0.502
-        4  0.77539  -0.233  0.588 -0.437  1.000  0.768
-        5  0.85259  -0.213  0.733 -0.502  0.768  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=1.73002e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53121e+02   3.12202e-01   1.52183e-04   1.04231e-01
-   2  sg_p1        1.32664e+01   3.54275e-01   3.33728e-04  -6.67445e-02
-   3  sg_p2        4.41850e+02   2.90658e+00   6.84300e-04   1.24877e-01
-   4  sg_p3        3.99520e+01   3.31061e+00   1.11458e-04  -6.09081e-01
-   5  sg_p4        8.69549e-01   2.05823e-02   4.85050e-04   8.31731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.747e-02 -2.060e-02 -5.492e-02 -2.421e-01 -1.378e-03 
- -2.060e-02  1.256e-01 -4.183e-01  6.988e-01  5.382e-03 
- -5.492e-02 -4.183e-01  8.456e+00 -4.334e+00 -3.074e-02 
- -2.421e-01  6.988e-01 -4.334e+00  1.097e+01  5.275e-02 
- -1.378e-03  5.382e-03 -3.074e-02  5.275e-02  4.242e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32202   1.000 -0.186 -0.060 -0.234 -0.214
-        2  0.73982  -0.186  1.000 -0.406  0.595  0.738
-        3  0.55356  -0.060 -0.406  1.000 -0.450 -0.513
-        4  0.78084  -0.234  0.595 -0.450  1.000  0.773
-        5  0.85624  -0.214  0.738 -0.513  0.773  1.000
-450
-453.121 +- 0.312202
-13.2664 +- 0.354275
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.2 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.71963e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.47720e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.59810e+02
-   4  sg_p3        3.20356e+01   1.40000e+01  -7.54886e-01   1.25318e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.92447e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=5.05245e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53816e+02   3.21132e-01   7.83772e-04  -7.95633e-02
-   2  sg_p1        1.33997e+01   3.69195e-01   1.71799e-03   1.80096e-01
-   3  sg_p2        4.44337e+02   2.53515e+00   3.11461e-03  -5.82291e-02
-   4  sg_p3        3.80604e+01   2.91065e+00   2.47607e-03   7.49358e-02
-   5  sg_p4        8.58912e-01   2.26324e-02   2.50700e-03  -6.85706e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.031e-01 -2.126e-02 -8.734e-02 -2.148e-01 -1.521e-03 
- -2.126e-02  1.364e-01 -3.383e-01  6.405e-01  6.246e-03 
- -8.734e-02 -3.383e-01  6.432e+00 -2.789e+00 -2.624e-02 
- -2.148e-01  6.405e-01 -2.789e+00  8.480e+00  5.167e-02 
- -1.521e-03  6.246e-03 -2.624e-02  5.167e-02  5.129e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33218   1.000 -0.179 -0.107 -0.230 -0.209
-        2  0.74782  -0.179  1.000 -0.361  0.596  0.747
-        3  0.50601  -0.107 -0.361  1.000 -0.378 -0.457
-        4  0.78747  -0.230  0.596 -0.378  1.000  0.784
-        5  0.86569  -0.209  0.747 -0.457  0.784  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=5.14272e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53816e+02   3.21170e-01   1.56754e-04   1.27552e-01
-   2  sg_p1        1.33997e+01   3.71529e-01   3.43597e-04  -5.45997e-02
-   3  sg_p2        4.44337e+02   2.55137e+00   6.22923e-04   1.70589e-01
-   4  sg_p3        3.80604e+01   2.93737e+00   9.90429e-05  -6.42423e-01
-   5  sg_p4        8.58912e-01   2.28649e-02   5.01401e-04   8.00670e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.032e-01 -2.159e-02 -8.447e-02 -2.173e-01 -1.542e-03 
- -2.159e-02  1.381e-01 -3.519e-01  6.569e-01  6.381e-03 
- -8.447e-02 -3.519e-01  6.514e+00 -2.922e+00 -2.730e-02 
- -2.173e-01  6.569e-01 -2.922e+00  8.636e+00  5.298e-02 
- -1.542e-03  6.381e-03 -2.730e-02  5.298e-02  5.236e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33250   1.000 -0.181 -0.103 -0.230 -0.210
-        2  0.75151  -0.181  1.000 -0.371  0.602  0.750
-        3  0.51526  -0.103 -0.371  1.000 -0.390 -0.467
-        4  0.79182  -0.230  0.602 -0.390  1.000  0.788
-        5  0.86862  -0.210  0.750 -0.467  0.788  1.000
-450
-453.816 +- 0.32117
-13.3997 +- 0.371529
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12450.5 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -7.89096e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.29312e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.41083e+02
-   4  sg_p3        2.97404e+01   1.40000e+01  -8.00916e-01   5.32420e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.78505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=9.81901e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.52649e+02   2.99257e-01   7.27117e-04  -1.85651e-01
-   2  sg_p1        1.29215e+01   3.26230e-01   1.60240e-03  -1.04599e-01
-   3  sg_p2        4.39500e+02   3.30234e+00   3.79402e-03  -2.47036e-02
-   4  sg_p3        4.23678e+01   3.70551e+00   3.18328e-03  -2.16927e-02
-   5  sg_p4        8.78387e-01   1.75288e-02   2.31775e-03   5.63843e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.956e-02 -1.634e-02 -3.809e-02 -2.386e-01 -1.021e-03 
- -1.634e-02  1.065e-01 -4.382e-01  6.785e-01  4.010e-03 
- -3.809e-02 -4.382e-01  1.092e+01 -5.893e+00 -3.008e-02 
- -2.386e-01  6.785e-01 -5.893e+00  1.375e+01  4.755e-02 
- -1.021e-03  4.010e-03 -3.008e-02  4.755e-02  3.076e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29182   1.000 -0.167 -0.039 -0.215 -0.195
-        2  0.70607  -0.167  1.000 -0.406  0.561  0.701
-        3  0.56523  -0.039 -0.406  1.000 -0.481 -0.519
-        4  0.74887  -0.215  0.561 -0.481  1.000  0.731
-        5  0.82206  -0.195  0.701 -0.519  0.731  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM HESSE     STATUS=OK             31 CALLS         249 TOTAL
-                     EDM=9.82123e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.52649e+02   2.99376e-01   1.45423e-04   8.84175e-02
-   2  sg_p1        1.29215e+01   3.28560e-01   3.20481e-04  -9.82038e-02
-   3  sg_p2        4.39500e+02   3.33339e+00   7.58805e-04   8.19031e-02
-   4  sg_p3        4.23678e+01   3.74990e+00   1.27331e-04  -5.67592e-01
-   5  sg_p4        8.78387e-01   1.77374e-02   4.63550e-04   8.58362e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.963e-02 -1.673e-02 -3.321e-02 -2.436e-01 -1.045e-03 
- -1.673e-02  1.080e-01 -4.573e-01  7.011e-01  4.116e-03 
- -3.321e-02 -4.573e-01  1.113e+01 -6.187e+00 -3.140e-02 
- -2.436e-01  7.011e-01 -6.187e+00  1.408e+01  4.914e-02 
- -1.045e-03  4.116e-03 -3.140e-02  4.914e-02  3.149e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29306   1.000 -0.170 -0.033 -0.217 -0.197
-        2  0.71107  -0.170  1.000 -0.417  0.569  0.706
-        3  0.57630  -0.033 -0.417  1.000 -0.494 -0.531
-        4  0.75573  -0.217  0.569 -0.494  1.000  0.738
-        5  0.82667  -0.197  0.706 -0.531  0.738  1.000
-450
-452.649 +- 0.299376
-12.9215 +- 0.32856
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12485 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.28524e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.76932e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.07179e+02
-   4  sg_p3        3.15199e+01   1.40000e+01  -7.65049e-01   1.17013e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.75418e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=8.2003e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53041e+02   3.16233e-01   7.67663e-04  -4.53747e-01
-   2  sg_p1        1.34606e+01   3.60067e-01   1.68094e-03  -2.56821e-01
-   3  sg_p2        4.42647e+02   3.03755e+00   3.65255e-03  -7.93949e-02
-   4  sg_p3        4.13701e+01   3.70699e+00   3.03411e-03  -1.62102e-02
-   5  sg_p4        8.74490e-01   2.02974e-02   2.42550e-03   1.44185e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.000e-01 -1.902e-02 -8.059e-02 -2.487e-01 -1.247e-03 
- -1.902e-02  1.297e-01 -4.096e-01  8.024e-01  5.385e-03 
- -8.059e-02 -4.096e-01  9.236e+00 -4.749e+00 -2.911e-02 
- -2.487e-01  8.024e-01 -4.749e+00  1.376e+01  5.850e-02 
- -1.247e-03  5.385e-03 -2.911e-02  5.850e-02  4.125e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30405   1.000 -0.167 -0.084 -0.212 -0.194
-        2  0.73858  -0.167  1.000 -0.374  0.601  0.736
-        3  0.51688  -0.084 -0.374  1.000 -0.421 -0.472
-        4  0.78361  -0.212  0.601 -0.421  1.000  0.776
-        5  0.85381  -0.194  0.736 -0.472  0.776  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM HESSE     STATUS=OK             31 CALLS         238 TOTAL
-                     EDM=8.28097e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53041e+02   3.16314e-01   1.53533e-04   1.01529e-01
-   2  sg_p1        1.34606e+01   3.62947e-01   3.36188e-04  -4.90533e-02
-   3  sg_p2        4.42647e+02   3.06302e+00   7.30509e-04   1.39482e-01
-   4  sg_p3        4.13701e+01   3.75314e+00   1.21364e-04  -5.84588e-01
-   5  sg_p4        8.74490e-01   2.05612e-02   4.85100e-04   8.46520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.001e-01 -1.944e-02 -7.634e-02 -2.533e-01 -1.273e-03 
- -1.944e-02  1.318e-01 -4.295e-01  8.293e-01  5.535e-03 
- -7.634e-02 -4.295e-01  9.392e+00 -5.013e+00 -3.054e-02 
- -2.533e-01  8.293e-01 -5.013e+00  1.411e+01  6.046e-02 
- -1.273e-03  5.535e-03 -3.054e-02  6.046e-02  4.233e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30482   1.000 -0.169 -0.079 -0.213 -0.196
-        2  0.74343  -0.169  1.000 -0.386  0.608  0.741
-        3  0.52851  -0.079 -0.386  1.000 -0.436 -0.484
-        4  0.78960  -0.213  0.608 -0.436  1.000  0.782
-        5  0.85785  -0.196  0.741 -0.484  0.782  1.000
-450
-453.041 +- 0.316314
-13.4606 +- 0.362947
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.1 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.34152e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.79811e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -1.07673e+03
-   4  sg_p3        2.91978e+01   1.40000e+01  -8.12117e-01  -1.15313e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.79673e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM MIGRAD    STATUS=CONVERGED     214 CALLS         215 TOTAL
-                     EDM=2.54338e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53203e+02   3.05272e-01   7.48199e-04   1.37509e-01
-   2  sg_p1        1.33442e+01   3.36784e-01   1.63030e-03  -1.73887e-01
-   3  sg_p2        4.40023e+02   3.36501e+00   3.85092e-03  -4.69572e-02
-   4  sg_p3        4.14043e+01   3.72019e+00   3.17044e-03  -1.58965e-02
-   5  sg_p4        8.85415e-01   1.84477e-02   2.39174e-03   8.69592e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.319e-02 -1.886e-02 -3.146e-02 -2.700e-01 -1.210e-03 
- -1.886e-02  1.135e-01 -4.902e-01  7.251e-01  4.482e-03 
- -3.146e-02 -4.902e-01  1.134e+01 -6.160e+00 -3.421e-02 
- -2.700e-01  7.251e-01 -6.160e+00  1.386e+01  5.193e-02 
- -1.210e-03  4.482e-03 -3.421e-02  5.193e-02  3.407e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31564   1.000 -0.183 -0.031 -0.238 -0.215
-        2  0.72421  -0.183  1.000 -0.432  0.578  0.721
-        3  0.58870  -0.031 -0.432  1.000 -0.491 -0.551
-        4  0.76796  -0.238  0.578 -0.491  1.000  0.756
-        5  0.84414  -0.215  0.721 -0.551  0.756  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM HESSE     STATUS=OK             31 CALLS         246 TOTAL
-                     EDM=2.55427e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53203e+02   3.05429e-01   1.49640e-04   1.06973e-01
-   2  sg_p1        1.33442e+01   3.39511e-01   3.26061e-04  -5.96515e-02
-   3  sg_p2        4.40023e+02   3.39967e+00   7.70184e-04   9.14550e-02
-   4  sg_p3        4.14043e+01   3.76783e+00   1.26818e-04  -5.84003e-01
-   5  sg_p4        8.85415e-01   1.86940e-02   4.78349e-04   8.80144e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.329e-02 -1.935e-02 -2.553e-02 -2.761e-01 -1.241e-03 
- -1.935e-02  1.153e-01 -5.124e-01  7.508e-01  4.612e-03 
- -2.553e-02 -5.124e-01  1.157e+01 -6.480e+00 -3.578e-02 
- -2.761e-01  7.508e-01 -6.480e+00  1.422e+01  5.377e-02 
- -1.241e-03  4.612e-03 -3.578e-02  5.377e-02  3.499e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31711   1.000 -0.187 -0.025 -0.240 -0.217
-        2  0.72945  -0.187  1.000 -0.444  0.586  0.726
-        3  0.59988  -0.025 -0.444  1.000 -0.505 -0.562
-        4  0.77464  -0.240  0.586 -0.505  1.000  0.762
-        5  0.84859  -0.217  0.726 -0.562  0.762  1.000
-450
-453.203 +- 0.305429
-13.3442 +- 0.339511
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11934 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.21817e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.66012e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.28921e+02
-   4  sg_p3        3.02910e+01   1.40000e+01  -7.89682e-01   6.24982e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.41964e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=3.59163e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53125e+02   3.22437e-01   7.59830e-04   3.14030e-01
-   2  sg_p1        1.32568e+01   3.64776e-01   1.66662e-03   1.31711e-01
-   3  sg_p2        4.41914e+02   2.96380e+00   3.40318e-03  -1.73168e-02
-   4  sg_p3        3.96954e+01   3.35557e+00   2.76524e-03  -2.51020e-02
-   5  sg_p4        8.69980e-01   2.12003e-02   2.43138e-03   2.99659e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.192e-02 -6.249e-02 -2.549e-01 -1.475e-03 
- -2.192e-02  1.331e-01 -4.296e-01  7.236e-01  5.697e-03 
- -6.249e-02 -4.296e-01  8.793e+00 -4.343e+00 -3.167e-02 
- -2.549e-01  7.236e-01 -4.343e+00  1.127e+01  5.485e-02 
- -1.475e-03  5.697e-03 -3.167e-02  5.485e-02  4.500e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32406   1.000 -0.186 -0.065 -0.235 -0.216
-        2  0.73815  -0.186  1.000 -0.397  0.591  0.736
-        3  0.54427  -0.065 -0.397  1.000 -0.436 -0.503
-        4  0.77722  -0.235  0.591 -0.436  1.000  0.770
-        5  0.85485  -0.216  0.736 -0.503  0.770  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=3.63213e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53125e+02   3.22540e-01   1.51966e-04   1.04341e-01
-   2  sg_p1        1.32568e+01   3.67383e-01   3.33325e-04  -6.76154e-02
-   3  sg_p2        4.41914e+02   2.98753e+00   6.80636e-04   1.26049e-01
-   4  sg_p3        3.96954e+01   3.39157e+00   1.10610e-04  -6.13558e-01
-   5  sg_p4        8.69980e-01   2.14457e-02   4.86276e-04   8.33011e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.236e-02 -5.816e-02 -2.592e-01 -1.503e-03 
- -2.236e-02  1.350e-01 -4.476e-01  7.452e-01  5.838e-03 
- -5.816e-02 -4.476e-01  8.934e+00 -4.553e+00 -3.300e-02 
- -2.592e-01  7.452e-01 -4.553e+00  1.152e+01  5.647e-02 
- -1.503e-03  5.838e-03 -3.300e-02  5.647e-02  4.605e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32494   1.000 -0.189 -0.060 -0.237 -0.217
-        2  0.74250  -0.189  1.000 -0.408  0.598  0.740
-        3  0.55442  -0.060 -0.408  1.000 -0.449 -0.514
-        4  0.78258  -0.237  0.598 -0.449  1.000  0.775
-        5  0.85843  -0.217  0.740 -0.514  0.775  1.000
-450
-453.125 +- 0.32254
-13.2568 +- 0.367383
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13588.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.01194e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.14820e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.36931e+02
-   4  sg_p3        3.19529e+01   1.40000e+01  -7.56508e-01   1.83311e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.40586e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=2.9635e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53119e+02   3.02295e-01   7.61866e-04  -3.75062e-01
-   2  sg_p1        1.32780e+01   3.39541e-01   1.67011e-03  -9.46376e-02
-   3  sg_p2        4.41784e+02   2.80838e+00   3.43889e-03  -7.54198e-02
-   4  sg_p3        4.02094e+01   3.20169e+00   2.80752e-03   5.20848e-02
-   5  sg_p4        8.69165e-01   1.95466e-02   2.41927e-03  -3.07790e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.139e-02 -1.864e-02 -5.556e-02 -2.229e-01 -1.243e-03 
- -1.864e-02  1.153e-01 -3.761e-01  6.379e-01  4.851e-03 
- -5.556e-02 -3.761e-01  7.894e+00 -3.947e+00 -2.754e-02 
- -2.229e-01  6.379e-01 -3.947e+00  1.026e+01  4.798e-02 
- -1.243e-03  4.851e-03 -2.754e-02  4.798e-02  3.825e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31836   1.000 -0.182 -0.065 -0.230 -0.210
-        2  0.73280  -0.182  1.000 -0.394  0.586  0.730
-        3  0.54277  -0.065 -0.394  1.000 -0.439 -0.501
-        4  0.77378  -0.230  0.586 -0.439  1.000  0.766
-        5  0.85046  -0.210  0.730 -0.501  0.766  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM HESSE     STATUS=OK             31 CALLS         237 TOTAL
-                     EDM=2.98129e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53119e+02   3.02390e-01   1.52373e-04   1.04142e-01
-   2  sg_p1        1.32780e+01   3.41962e-01   3.34022e-04  -6.56836e-02
-   3  sg_p2        4.41784e+02   2.83105e+00   6.87778e-04   1.23663e-01
-   4  sg_p3        4.02094e+01   3.23660e+00   1.12301e-04  -6.04605e-01
-   5  sg_p4        8.69165e-01   1.97739e-02   4.83854e-04   8.30589e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.144e-02 -1.903e-02 -5.175e-02 -2.268e-01 -1.268e-03 
- -1.903e-02  1.170e-01 -3.920e-01  6.571e-01  4.973e-03 
- -5.175e-02 -3.920e-01  8.022e+00 -4.140e+00 -2.871e-02 
- -2.268e-01  6.571e-01 -4.140e+00  1.049e+01  4.942e-02 
- -1.268e-03  4.973e-03 -2.871e-02  4.942e-02  3.915e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31924   1.000 -0.184 -0.060 -0.232 -0.212
-        2  0.73725  -0.184  1.000 -0.405  0.593  0.735
-        3  0.55306  -0.060 -0.405  1.000 -0.451 -0.512
-        4  0.77932  -0.232  0.593 -0.451  1.000  0.771
-        5  0.85417  -0.212  0.735 -0.512  0.771  1.000
-450
-453.119 +- 0.30239
-13.278 +- 0.341962
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 72 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 80 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 453.121 +- 0.312202 (stat) - 0.472204 + 0.694919 (syst); -0.497337/+0.712236 (total)
-   Uncertainty on sg_p1 = 13.2664 +- 0.354275 (stat) - 0.344861 + 0.194275 (syst); -0.387695/+0.262907 (total)
-   Uncertainty on sg_p2 = 441.85 +- 2.90658 (stat) - 2.35076 + 2.48654 (syst); -2.76371/+2.88009 (total)
-   Uncertainty on sg_p3 = 39.952 +- 3.31061 (stat) - 1.8916 + 2.41576 (syst); -2.5136/+2.92847 (total)
-   Uncertainty on sg_p4 = 0.869549 +- 0.0205823 (stat) - 0.0106377 + 0.015866 (syst); -0.0148009/+0.0189113 (total) 
-   === Baseline plot === </br>
-   norm = 1083.26
-JEC     lnN   1.00732  -
-JER     lnN   1.01521  -
-btag    lnN   1.06507  -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out
deleted file mode 100644
index cfef1f0..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.001914  -0.001914/+0.0429053  (68% CL)
-nll S+B -> -0.064262  nll B -> -0.0632699
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out
deleted file mode 100644
index aa098c8..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/CMS_HH4b_450_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.088841:	q_mu = 3.84157	q_A  = 3.81443	CLsb = 0.02500	CLb  = 0.49723	CLs  = 0.05027
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0888
-Expected  2.5%: r < 0.0485
-Expected 16.0%: r < 0.0642
-Expected 50.0%: r < 0.0894
-Expected 84.0%: r < 0.1268
-Expected 97.5%: r < 0.1749
-
-Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt
deleted file mode 100644
index cd59f2a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/datacard_450_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_450.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1083.26 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06507    -
-JER       lnN     1.01521   - 
-JEC       lnN     1.00732   -
-trigger   lnN     1.10    -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/signal450_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/signal450_sig.log
deleted file mode 100644
index 758dffb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_450_novo_285_624/signal450_sig.log
+++ /dev/null
@@ -1,849 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   9.40956e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.15795e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   5.60158e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -7.43253e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.02042e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=3.59834e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.33700e+02   5.20779e-01   1.28024e-03  -4.50888e-02
-   2  sg_p1        2.45512e+01   4.32325e-01   2.13929e-03   2.15071e-02
-   3  sg_p2        4.10000e+02   7.56422e-01   1.62500e-02** at limit **
-   4  sg_p3        9.59075e+01   9.76509e+00   3.57927e-02  -4.80697e-03
-   5  sg_p4        8.98300e-01   1.09856e-02   2.31920e-03   1.35348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.712e-01 -3.295e-02 -7.320e-06 -1.029e+00 -1.066e-03 
- -3.295e-02  1.870e-01  4.421e-06  1.512e+00  2.106e-03 
- -7.320e-06  4.421e-06  3.900e-05  3.605e-04  1.357e-07 
- -1.029e+00  1.512e+00  3.605e-04  1.055e+02  6.647e-02 
- -1.066e-03  2.106e-03  1.357e-07  6.647e-02  1.207e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22083   1.000 -0.146 -0.002 -0.192 -0.186
-        2  0.45738  -0.146  1.000  0.002  0.340  0.443
-        3  0.00601  -0.002  0.002  1.000  0.006  0.002
-        4  0.60064  -0.192  0.340  0.006  1.000  0.589
-        5  0.64515  -0.186  0.443  0.002  0.589  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14616.9 FROM HESSE     STATUS=OK             31 CALLS         269 TOTAL
-                     EDM=3.62828e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.33700e+02   5.22464e-01   2.56047e-04  -3.28756e-01
-   2  sg_p1        2.45512e+01   4.36897e-01   8.55715e-05   3.54316e-01
-   3  sg_p2        4.10000e+02   7.56439e-01   3.24999e-03  -1.56999e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.59075e+01   1.00551e+01   1.43171e-03   1.14101e+00
-   5  sg_p4        8.98300e-01   1.13202e-02   4.63840e-04   9.21649e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.730e-01 -3.575e-02 -2.151e-06 -1.151e+00 -1.179e-03 
- -3.575e-02  1.909e-01  1.441e-06  1.696e+00  2.279e-03 
- -2.151e-06  1.441e-06  3.900e-05  1.093e-04  4.737e-08 
- -1.151e+00  1.696e+00  1.093e-04  1.126e+02  7.452e-02 
- -1.179e-03  2.279e-03  4.737e-08  7.452e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23428   1.000 -0.157 -0.001 -0.208 -0.199
-        2  0.47504  -0.157  1.000  0.001  0.366  0.461
-        3  0.00175  -0.001  0.001  1.000  0.002  0.001
-        4  0.63167  -0.208  0.366  0.002  1.000  0.620
-        5  0.67100  -0.199  0.461  0.001  0.620  1.000
-450
-433.7 +- 0.522464
-24.5512 +- 0.436897
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14967 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   7.30094e+02
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -7.17086e+01
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   4.92262e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   1.24799e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -2.52207e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM MIGRAD    STATUS=CONVERGED     225 CALLS         226 TOTAL
-                     EDM=1.40963e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.35880e+02   5.28453e-01   1.25742e-03   3.65467e-02
-   2  sg_p1        2.47804e+01   4.36143e-01   2.15058e-03   8.90109e-02
-   3  sg_p2        4.10000e+02   8.41699e-01   1.71227e-02** at limit **
-   4  sg_p3        9.34154e+01   9.89175e+00   2.81029e-02   3.92610e-03
-   5  sg_p4        9.04757e-01   1.10728e-02   2.34320e-03  -1.13912e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.793e-01 -4.062e-02 -3.574e-06 -1.243e+00 -1.334e-03 
- -4.062e-02  1.903e-01  1.963e-06  1.596e+00  2.205e-03 
- -3.574e-06  1.963e-06  1.004e-05  1.505e-04  5.291e-08 
- -1.243e+00  1.596e+00  1.505e-04  1.043e+02  6.945e-02 
- -1.334e-03  2.205e-03  5.291e-08  6.945e-02  1.227e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.26417   1.000 -0.176 -0.002 -0.230 -0.228
-        2  0.47132  -0.176  1.000  0.001  0.358  0.457
-        3  0.00513  -0.002  0.001  1.000  0.005  0.002
-        4  0.62620  -0.230  0.358  0.005  1.000  0.614
-        5  0.66724  -0.228  0.457  0.002  0.614  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14568.3 FROM HESSE     STATUS=OK             31 CALLS         257 TOTAL
-                     EDM=1.45125e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.35880e+02   5.30103e-01   2.51483e-04  -2.63606e-01
-   2  sg_p1        2.47804e+01   4.39593e-01   4.30116e-04   3.69632e-01
-   3  sg_p2        4.10000e+02   8.41739e-01   3.42455e-03  -1.57118e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.34154e+01   1.01144e+01   1.12412e-03   1.02300e+00
-   5  sg_p4        9.04757e-01   1.13218e-02   9.37280e-05   9.43325e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.810e-01 -4.308e-02 -6.126e-07 -1.344e+00 -1.432e-03 
- -4.308e-02  1.933e-01  3.606e-07  1.730e+00  2.336e-03 
- -6.126e-07  3.606e-07  1.004e-05  2.633e-05  1.041e-08 
- -1.344e+00  1.730e+00  2.633e-05  1.094e+02  7.528e-02 
- -1.432e-03  2.336e-03  1.041e-08  7.528e-02  1.282e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.27490   1.000 -0.185 -0.000 -0.242 -0.238
-        2  0.48405  -0.185  1.000  0.000  0.376  0.469
-        3  0.00087  -0.000  0.000  1.000  0.001  0.000
-        4  0.64751  -0.242  0.376  0.001  1.000  0.636
-        5  0.68509  -0.238  0.469  0.000  0.636  1.000
-450
-435.88 +- 0.530103
-24.7804 +- 0.439593
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14989.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.45000e+02   7.00000e+00   2.01358e-01   1.09913e+03
-   2  sg_p1        1.90000e+01   3.20000e+00   2.01358e-01  -1.79281e+02
-   3  sg_p2        4.50000e+02   8.00000e+00   2.01358e-01   6.15691e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.35305e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.43184e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM MIGRAD    STATUS=CONVERGED     259 CALLS         260 TOTAL
-                     EDM=2.88948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.31562e+02   5.09368e-01   1.30052e-03  -5.36209e-02
-   2  sg_p1        2.44193e+01   3.99415e-01   2.10037e-03   1.06473e-02
-   3  sg_p2        4.10000e+02   7.22690e-01   1.57718e-02** at limit **
-   4  sg_p3        1.00000e+02   1.55471e+01   7.04637e-02** at limit **
-   5  sg_p4        8.97810e-01   8.75371e-03   2.28074e-03   2.04575e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.470e-02 -3.574e-07  3.497e-04 -3.281e-04 
- -1.470e-02  1.596e-01 -3.286e-08 -5.660e-04  1.020e-03 
- -3.574e-07 -3.286e-08  5.312e-07 -1.926e-08 -7.103e-09 
-  3.497e-04 -5.660e-04 -1.926e-08  1.262e-03 -2.615e-05 
- -3.281e-04  1.020e-03 -7.103e-09 -2.615e-05  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09157   1.000 -0.072 -0.001  0.019 -0.074
-        2  0.29639  -0.072  1.000 -0.000 -0.040  0.292
-        3  0.00174  -0.001 -0.000  1.000 -0.001 -0.001
-        4  0.08650   0.019 -0.040 -0.001  1.000 -0.084
-        5  0.30486  -0.074  0.292 -0.001 -0.084  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14396.8 FROM HESSE     STATUS=OK             31 CALLS         291 TOTAL
-                     EDM=2.76365e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.31562e+02   5.09297e-01   2.60104e-04  -3.94063e-01
-   2  sg_p1        2.44193e+01   3.99210e-01   8.40147e-05   3.45541e-01
-   3  sg_p2        4.10000e+02   7.22718e-01   3.15436e-03  -1.57070e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        1.00000e+02   1.57628e+01   1.40927e-02   1.56988e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   5  sg_p4        8.97810e-01   8.72528e-03   9.12295e-05   9.20031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.594e-01 -1.474e-02 -7.385e-08  6.324e-05 -3.205e-04 
- -1.474e-02  1.594e-01 -8.717e-09 -1.029e-04  1.011e-03 
- -7.385e-08 -8.717e-09  5.312e-07 -7.301e-10 -1.575e-09 
-  6.324e-05 -1.029e-04 -7.301e-10  1.280e-03 -4.742e-06 
- -3.205e-04  1.011e-03 -1.575e-09 -4.742e-06  7.615e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.09005   1.000 -0.072 -0.000  0.003 -0.072
-        2  0.29480  -0.072  1.000 -0.000 -0.007  0.290
-        3  0.00033  -0.000 -0.000  1.000 -0.000 -0.000
-        4  0.01563   0.003 -0.007 -0.000  1.000 -0.015
-        5  0.29498  -0.072  0.290 -0.000 -0.015  1.000
-450
-431.562 +- 0.509297
-24.4193 +- 0.39921
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12740.9 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.59626e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.90307e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.30862e+02
-   4  sg_p3        3.11611e+01   1.40000e+01  -7.72180e-01   1.25776e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.90098e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.72857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53121e+02   3.12103e-01   7.60916e-04  -1.37805e-01
-   2  sg_p1        1.32664e+01   3.51765e-01   1.66864e-03  -1.59663e-01
-   3  sg_p2        4.41850e+02   2.88341e+00   3.42150e-03  -4.30161e-02
-   4  sg_p3        3.99520e+01   3.27521e+00   2.78644e-03  -1.95155e-02
-   5  sg_p4        8.69549e-01   2.03464e-02   2.42525e-03   7.02356e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.741e-02 -2.019e-02 -5.897e-02 -2.380e-01 -1.352e-03 
- -2.019e-02  1.238e-01 -4.014e-01  6.784e-01  5.251e-03 
- -5.897e-02 -4.014e-01  8.322e+00 -4.133e+00 -2.949e-02 
- -2.380e-01  6.784e-01 -4.133e+00  1.074e+01  5.122e-02 
- -1.352e-03  5.251e-03 -2.949e-02  5.122e-02  4.145e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32114   1.000 -0.184 -0.066 -0.233 -0.213
-        2  0.73542  -0.184  1.000 -0.395  0.588  0.733
-        3  0.54335  -0.066 -0.395  1.000 -0.437 -0.502
-        4  0.77539  -0.233  0.588 -0.437  1.000  0.768
-        5  0.85259  -0.213  0.733 -0.502  0.768  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12371.9 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=1.73002e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53121e+02   3.12202e-01   1.52183e-04   1.04231e-01
-   2  sg_p1        1.32664e+01   3.54275e-01   3.33728e-04  -6.67445e-02
-   3  sg_p2        4.41850e+02   2.90658e+00   6.84300e-04   1.24877e-01
-   4  sg_p3        3.99520e+01   3.31061e+00   1.11458e-04  -6.09081e-01
-   5  sg_p4        8.69549e-01   2.05823e-02   4.85050e-04   8.31731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.747e-02 -2.060e-02 -5.492e-02 -2.421e-01 -1.378e-03 
- -2.060e-02  1.256e-01 -4.183e-01  6.988e-01  5.382e-03 
- -5.492e-02 -4.183e-01  8.456e+00 -4.334e+00 -3.074e-02 
- -2.421e-01  6.988e-01 -4.334e+00  1.097e+01  5.275e-02 
- -1.378e-03  5.382e-03 -3.074e-02  5.275e-02  4.242e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32202   1.000 -0.186 -0.060 -0.234 -0.214
-        2  0.73982  -0.186  1.000 -0.406  0.595  0.738
-        3  0.55356  -0.060 -0.406  1.000 -0.450 -0.513
-        4  0.78084  -0.234  0.595 -0.450  1.000  0.773
-        5  0.85624  -0.214  0.738 -0.513  0.773  1.000
-450
-453.121 +- 0.312202
-13.2664 +- 0.354275
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.2 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.71963e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.47720e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.59810e+02
-   4  sg_p3        3.20356e+01   1.40000e+01  -7.54886e-01   1.25318e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.92447e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM MIGRAD    STATUS=CONVERGED     195 CALLS         196 TOTAL
-                     EDM=5.05245e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53816e+02   3.21132e-01   7.83772e-04  -7.95633e-02
-   2  sg_p1        1.33997e+01   3.69195e-01   1.71799e-03   1.80096e-01
-   3  sg_p2        4.44337e+02   2.53515e+00   3.11461e-03  -5.82291e-02
-   4  sg_p3        3.80604e+01   2.91065e+00   2.47607e-03   7.49358e-02
-   5  sg_p4        8.58912e-01   2.26324e-02   2.50700e-03  -6.85706e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.031e-01 -2.126e-02 -8.734e-02 -2.148e-01 -1.521e-03 
- -2.126e-02  1.364e-01 -3.383e-01  6.405e-01  6.246e-03 
- -8.734e-02 -3.383e-01  6.432e+00 -2.789e+00 -2.624e-02 
- -2.148e-01  6.405e-01 -2.789e+00  8.480e+00  5.167e-02 
- -1.521e-03  6.246e-03 -2.624e-02  5.167e-02  5.129e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33218   1.000 -0.179 -0.107 -0.230 -0.209
-        2  0.74782  -0.179  1.000 -0.361  0.596  0.747
-        3  0.50601  -0.107 -0.361  1.000 -0.378 -0.457
-        4  0.78747  -0.230  0.596 -0.378  1.000  0.784
-        5  0.86569  -0.209  0.747 -0.457  0.784  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12439.7 FROM HESSE     STATUS=OK             31 CALLS         227 TOTAL
-                     EDM=5.14272e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53816e+02   3.21170e-01   1.56754e-04   1.27552e-01
-   2  sg_p1        1.33997e+01   3.71529e-01   3.43597e-04  -5.45997e-02
-   3  sg_p2        4.44337e+02   2.55137e+00   6.22923e-04   1.70589e-01
-   4  sg_p3        3.80604e+01   2.93737e+00   9.90429e-05  -6.42423e-01
-   5  sg_p4        8.58912e-01   2.28649e-02   5.01401e-04   8.00670e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.032e-01 -2.159e-02 -8.447e-02 -2.173e-01 -1.542e-03 
- -2.159e-02  1.381e-01 -3.519e-01  6.569e-01  6.381e-03 
- -8.447e-02 -3.519e-01  6.514e+00 -2.922e+00 -2.730e-02 
- -2.173e-01  6.569e-01 -2.922e+00  8.636e+00  5.298e-02 
- -1.542e-03  6.381e-03 -2.730e-02  5.298e-02  5.236e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33250   1.000 -0.181 -0.103 -0.230 -0.210
-        2  0.75151  -0.181  1.000 -0.371  0.602  0.750
-        3  0.51526  -0.103 -0.371  1.000 -0.390 -0.467
-        4  0.79182  -0.230  0.602 -0.390  1.000  0.788
-        5  0.86862  -0.210  0.750 -0.467  0.788  1.000
-450
-453.816 +- 0.32117
-13.3997 +- 0.371529
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12450.5 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -7.89096e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.29312e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.41083e+02
-   4  sg_p3        2.97404e+01   1.40000e+01  -8.00916e-01   5.32420e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.78505e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=9.81901e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.52649e+02   2.99257e-01   7.27117e-04  -1.85651e-01
-   2  sg_p1        1.29215e+01   3.26230e-01   1.60240e-03  -1.04599e-01
-   3  sg_p2        4.39500e+02   3.30234e+00   3.79402e-03  -2.47036e-02
-   4  sg_p3        4.23678e+01   3.70551e+00   3.18328e-03  -2.16927e-02
-   5  sg_p4        8.78387e-01   1.75288e-02   2.31775e-03   5.63843e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.956e-02 -1.634e-02 -3.809e-02 -2.386e-01 -1.021e-03 
- -1.634e-02  1.065e-01 -4.382e-01  6.785e-01  4.010e-03 
- -3.809e-02 -4.382e-01  1.092e+01 -5.893e+00 -3.008e-02 
- -2.386e-01  6.785e-01 -5.893e+00  1.375e+01  4.755e-02 
- -1.021e-03  4.010e-03 -3.008e-02  4.755e-02  3.076e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29182   1.000 -0.167 -0.039 -0.215 -0.195
-        2  0.70607  -0.167  1.000 -0.406  0.561  0.701
-        3  0.56523  -0.039 -0.406  1.000 -0.481 -0.519
-        4  0.74887  -0.215  0.561 -0.481  1.000  0.731
-        5  0.82206  -0.195  0.701 -0.519  0.731  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12082.3 FROM HESSE     STATUS=OK             31 CALLS         249 TOTAL
-                     EDM=9.82123e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.52649e+02   2.99376e-01   1.45423e-04   8.84175e-02
-   2  sg_p1        1.29215e+01   3.28560e-01   3.20481e-04  -9.82038e-02
-   3  sg_p2        4.39500e+02   3.33339e+00   7.58805e-04   8.19031e-02
-   4  sg_p3        4.23678e+01   3.74990e+00   1.27331e-04  -5.67592e-01
-   5  sg_p4        8.78387e-01   1.77374e-02   4.63550e-04   8.58362e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.963e-02 -1.673e-02 -3.321e-02 -2.436e-01 -1.045e-03 
- -1.673e-02  1.080e-01 -4.573e-01  7.011e-01  4.116e-03 
- -3.321e-02 -4.573e-01  1.113e+01 -6.187e+00 -3.140e-02 
- -2.436e-01  7.011e-01 -6.187e+00  1.408e+01  4.914e-02 
- -1.045e-03  4.116e-03 -3.140e-02  4.914e-02  3.149e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.29306   1.000 -0.170 -0.033 -0.217 -0.197
-        2  0.71107  -0.170  1.000 -0.417  0.569  0.706
-        3  0.57630  -0.033 -0.417  1.000 -0.494 -0.531
-        4  0.75573  -0.217  0.569 -0.494  1.000  0.738
-        5  0.82667  -0.197  0.706 -0.531  0.738  1.000
-450
-452.649 +- 0.299376
-12.9215 +- 0.32856
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12485 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.28524e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.76932e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.07179e+02
-   4  sg_p3        3.15199e+01   1.40000e+01  -7.65049e-01   1.17013e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.75418e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=8.2003e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53041e+02   3.16233e-01   7.67663e-04  -4.53747e-01
-   2  sg_p1        1.34606e+01   3.60067e-01   1.68094e-03  -2.56821e-01
-   3  sg_p2        4.42647e+02   3.03755e+00   3.65255e-03  -7.93949e-02
-   4  sg_p3        4.13701e+01   3.70699e+00   3.03411e-03  -1.62102e-02
-   5  sg_p4        8.74490e-01   2.02974e-02   2.42550e-03   1.44185e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.000e-01 -1.902e-02 -8.059e-02 -2.487e-01 -1.247e-03 
- -1.902e-02  1.297e-01 -4.096e-01  8.024e-01  5.385e-03 
- -8.059e-02 -4.096e-01  9.236e+00 -4.749e+00 -2.911e-02 
- -2.487e-01  8.024e-01 -4.749e+00  1.376e+01  5.850e-02 
- -1.247e-03  5.385e-03 -2.911e-02  5.850e-02  4.125e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30405   1.000 -0.167 -0.084 -0.212 -0.194
-        2  0.73858  -0.167  1.000 -0.374  0.601  0.736
-        3  0.51688  -0.084 -0.374  1.000 -0.421 -0.472
-        4  0.78361  -0.212  0.601 -0.421  1.000  0.776
-        5  0.85381  -0.194  0.736 -0.472  0.776  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12126.6 FROM HESSE     STATUS=OK             31 CALLS         238 TOTAL
-                     EDM=8.28097e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53041e+02   3.16314e-01   1.53533e-04   1.01529e-01
-   2  sg_p1        1.34606e+01   3.62947e-01   3.36188e-04  -4.90533e-02
-   3  sg_p2        4.42647e+02   3.06302e+00   7.30509e-04   1.39482e-01
-   4  sg_p3        4.13701e+01   3.75314e+00   1.21364e-04  -5.84588e-01
-   5  sg_p4        8.74490e-01   2.05612e-02   4.85100e-04   8.46520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.001e-01 -1.944e-02 -7.634e-02 -2.533e-01 -1.273e-03 
- -1.944e-02  1.318e-01 -4.295e-01  8.293e-01  5.535e-03 
- -7.634e-02 -4.295e-01  9.392e+00 -5.013e+00 -3.054e-02 
- -2.533e-01  8.293e-01 -5.013e+00  1.411e+01  6.046e-02 
- -1.273e-03  5.535e-03 -3.054e-02  6.046e-02  4.233e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.30482   1.000 -0.169 -0.079 -0.213 -0.196
-        2  0.74343  -0.169  1.000 -0.386  0.608  0.741
-        3  0.52851  -0.079 -0.386  1.000 -0.436 -0.484
-        4  0.78960  -0.213  0.608 -0.436  1.000  0.782
-        5  0.85785  -0.196  0.741 -0.484  0.782  1.000
-450
-453.041 +- 0.316314
-13.4606 +- 0.362947
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=12831.1 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.34152e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.79811e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -1.07673e+03
-   4  sg_p3        2.91978e+01   1.40000e+01  -8.12117e-01  -1.15313e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.79673e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM MIGRAD    STATUS=CONVERGED     214 CALLS         215 TOTAL
-                     EDM=2.54338e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53203e+02   3.05272e-01   7.48199e-04   1.37509e-01
-   2  sg_p1        1.33442e+01   3.36784e-01   1.63030e-03  -1.73887e-01
-   3  sg_p2        4.40023e+02   3.36501e+00   3.85092e-03  -4.69572e-02
-   4  sg_p3        4.14043e+01   3.72019e+00   3.17044e-03  -1.58965e-02
-   5  sg_p4        8.85415e-01   1.84477e-02   2.39174e-03   8.69592e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.319e-02 -1.886e-02 -3.146e-02 -2.700e-01 -1.210e-03 
- -1.886e-02  1.135e-01 -4.902e-01  7.251e-01  4.482e-03 
- -3.146e-02 -4.902e-01  1.134e+01 -6.160e+00 -3.421e-02 
- -2.700e-01  7.251e-01 -6.160e+00  1.386e+01  5.193e-02 
- -1.210e-03  4.482e-03 -3.421e-02  5.193e-02  3.407e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31564   1.000 -0.183 -0.031 -0.238 -0.215
-        2  0.72421  -0.183  1.000 -0.432  0.578  0.721
-        3  0.58870  -0.031 -0.432  1.000 -0.491 -0.551
-        4  0.76796  -0.238  0.578 -0.491  1.000  0.756
-        5  0.84414  -0.215  0.721 -0.551  0.756  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12442.9 FROM HESSE     STATUS=OK             31 CALLS         246 TOTAL
-                     EDM=2.55427e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53203e+02   3.05429e-01   1.49640e-04   1.06973e-01
-   2  sg_p1        1.33442e+01   3.39511e-01   3.26061e-04  -5.96515e-02
-   3  sg_p2        4.40023e+02   3.39967e+00   7.70184e-04   9.14550e-02
-   4  sg_p3        4.14043e+01   3.76783e+00   1.26818e-04  -5.84003e-01
-   5  sg_p4        8.85415e-01   1.86940e-02   4.78349e-04   8.80144e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.329e-02 -1.935e-02 -2.553e-02 -2.761e-01 -1.241e-03 
- -1.935e-02  1.153e-01 -5.124e-01  7.508e-01  4.612e-03 
- -2.553e-02 -5.124e-01  1.157e+01 -6.480e+00 -3.578e-02 
- -2.761e-01  7.508e-01 -6.480e+00  1.422e+01  5.377e-02 
- -1.241e-03  4.612e-03 -3.578e-02  5.377e-02  3.499e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31711   1.000 -0.187 -0.025 -0.240 -0.217
-        2  0.72945  -0.187  1.000 -0.444  0.586  0.726
-        3  0.59988  -0.025 -0.444  1.000 -0.505 -0.562
-        4  0.77464  -0.240  0.586 -0.505  1.000  0.762
-        5  0.84859  -0.217  0.726 -0.562  0.762  1.000
-450
-453.203 +- 0.305429
-13.3442 +- 0.339511
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11934 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -8.21817e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   2.66012e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.28921e+02
-   4  sg_p3        3.02910e+01   1.40000e+01  -7.89682e-01   6.24982e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -5.41964e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=3.59163e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53125e+02   3.22437e-01   7.59830e-04   3.14030e-01
-   2  sg_p1        1.32568e+01   3.64776e-01   1.66662e-03   1.31711e-01
-   3  sg_p2        4.41914e+02   2.96380e+00   3.40318e-03  -1.73168e-02
-   4  sg_p3        3.96954e+01   3.35557e+00   2.76524e-03  -2.51020e-02
-   5  sg_p4        8.69980e-01   2.12003e-02   2.43138e-03   2.99659e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.192e-02 -6.249e-02 -2.549e-01 -1.475e-03 
- -2.192e-02  1.331e-01 -4.296e-01  7.236e-01  5.697e-03 
- -6.249e-02 -4.296e-01  8.793e+00 -4.343e+00 -3.167e-02 
- -2.549e-01  7.236e-01 -4.343e+00  1.127e+01  5.485e-02 
- -1.475e-03  5.697e-03 -3.167e-02  5.485e-02  4.500e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32406   1.000 -0.186 -0.065 -0.235 -0.216
-        2  0.73815  -0.186  1.000 -0.397  0.591  0.736
-        3  0.54427  -0.065 -0.397  1.000 -0.436 -0.503
-        4  0.77722  -0.235  0.591 -0.436  1.000  0.770
-        5  0.85485  -0.216  0.736 -0.503  0.770  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11588.1 FROM HESSE     STATUS=OK             31 CALLS         236 TOTAL
-                     EDM=3.63213e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53125e+02   3.22540e-01   1.51966e-04   1.04341e-01
-   2  sg_p1        1.32568e+01   3.67383e-01   3.33325e-04  -6.76154e-02
-   3  sg_p2        4.41914e+02   2.98753e+00   6.80636e-04   1.26049e-01
-   4  sg_p3        3.96954e+01   3.39157e+00   1.10610e-04  -6.13558e-01
-   5  sg_p4        8.69980e-01   2.14457e-02   4.86276e-04   8.33011e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.040e-01 -2.236e-02 -5.816e-02 -2.592e-01 -1.503e-03 
- -2.236e-02  1.350e-01 -4.476e-01  7.452e-01  5.838e-03 
- -5.816e-02 -4.476e-01  8.934e+00 -4.553e+00 -3.300e-02 
- -2.592e-01  7.452e-01 -4.553e+00  1.152e+01  5.647e-02 
- -1.503e-03  5.838e-03 -3.300e-02  5.647e-02  4.605e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.32494   1.000 -0.189 -0.060 -0.237 -0.217
-        2  0.74250  -0.189  1.000 -0.408  0.598  0.740
-        3  0.55442  -0.060 -0.408  1.000 -0.449 -0.514
-        4  0.78258  -0.237  0.598 -0.449  1.000  0.775
-        5  0.85843  -0.217  0.740 -0.514  0.775  1.000
-450
-453.125 +- 0.32254
-13.2568 +- 0.367383
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13588.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.50000e+02   6.00000e+00   0.00000e+00  -9.01194e+02
-   2  sg_p1        1.40000e+01   2.20000e+00   0.00000e+00   3.14820e+02
-   3  sg_p2        4.35000e+02   1.10000e+01   0.00000e+00  -9.36931e+02
-   4  sg_p3        3.19529e+01   1.40000e+01  -7.56508e-01   1.83311e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.40586e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=2.9635e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.53119e+02   3.02295e-01   7.61866e-04  -3.75062e-01
-   2  sg_p1        1.32780e+01   3.39541e-01   1.67011e-03  -9.46376e-02
-   3  sg_p2        4.41784e+02   2.80838e+00   3.43889e-03  -7.54198e-02
-   4  sg_p3        4.02094e+01   3.20169e+00   2.80752e-03   5.20848e-02
-   5  sg_p4        8.69165e-01   1.95466e-02   2.41927e-03  -3.07790e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.139e-02 -1.864e-02 -5.556e-02 -2.229e-01 -1.243e-03 
- -1.864e-02  1.153e-01 -3.761e-01  6.379e-01  4.851e-03 
- -5.556e-02 -3.761e-01  7.894e+00 -3.947e+00 -2.754e-02 
- -2.229e-01  6.379e-01 -3.947e+00  1.026e+01  4.798e-02 
- -1.243e-03  4.851e-03 -2.754e-02  4.798e-02  3.825e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31836   1.000 -0.182 -0.065 -0.230 -0.210
-        2  0.73280  -0.182  1.000 -0.394  0.586  0.730
-        3  0.54277  -0.065 -0.394  1.000 -0.439 -0.501
-        4  0.77378  -0.230  0.586 -0.439  1.000  0.766
-        5  0.85046  -0.210  0.730 -0.501  0.766  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13194.8 FROM HESSE     STATUS=OK             31 CALLS         237 TOTAL
-                     EDM=2.98129e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.53119e+02   3.02390e-01   1.52373e-04   1.04142e-01
-   2  sg_p1        1.32780e+01   3.41962e-01   3.34022e-04  -6.56836e-02
-   3  sg_p2        4.41784e+02   2.83105e+00   6.87778e-04   1.23663e-01
-   4  sg_p3        4.02094e+01   3.23660e+00   1.12301e-04  -6.04605e-01
-   5  sg_p4        8.69165e-01   1.97739e-02   4.83854e-04   8.30589e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.144e-02 -1.903e-02 -5.175e-02 -2.268e-01 -1.268e-03 
- -1.903e-02  1.170e-01 -3.920e-01  6.571e-01  4.973e-03 
- -5.175e-02 -3.920e-01  8.022e+00 -4.140e+00 -2.871e-02 
- -2.268e-01  6.571e-01 -4.140e+00  1.049e+01  4.942e-02 
- -1.268e-03  4.973e-03 -2.871e-02  4.942e-02  3.915e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31924   1.000 -0.184 -0.060 -0.232 -0.212
-        2  0.73725  -0.184  1.000 -0.405  0.593  0.735
-        3  0.55306  -0.060 -0.405  1.000 -0.451 -0.512
-        4  0.77932  -0.232  0.593 -0.451  1.000  0.771
-        5  0.85417  -0.212  0.735 -0.512  0.771  1.000
-450
-453.119 +- 0.30239
-13.278 +- 0.341962
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 72 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 80 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 453.121 +- 0.312202 (stat) - 0.472204 + 0.694919 (syst); -0.497337/+0.712236 (total)
-   Uncertainty on sg_p1 = 13.2664 +- 0.354275 (stat) - 0.344861 + 0.194275 (syst); -0.387695/+0.262907 (total)
-   Uncertainty on sg_p2 = 441.85 +- 2.90658 (stat) - 2.35076 + 2.48654 (syst); -2.76371/+2.88009 (total)
-   Uncertainty on sg_p3 = 39.952 +- 3.31061 (stat) - 1.8916 + 2.41576 (syst); -2.5136/+2.92847 (total)
-   Uncertainty on sg_p4 = 0.869549 +- 0.0205823 (stat) - 0.0106377 + 0.015866 (syst); -0.0148009/+0.0189113 (total) 
-   === Baseline plot === </br>
-   norm = 1083.26
-JEC     lnN   1.00732  -
-JER     lnN   1.01521  -
-btag    lnN   1.06507  -
-sg_p0   param   453.121 -0.497337/+0.712236
-sg_p1   param   13.2664 -0.387695/+0.262907
-sg_p2   param   441.85  -2.76371/+2.88009
-sg_p3   param   39.952  -2.5136/+2.92847
-sg_p4   param   0.869549  -0.0148009/+0.0189113 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out
deleted file mode 100644
index 6016d50..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 3.31771e-05  -3.31771e-05/+1.96796  (68% CL)
-nll S+B -> -0.00503627  nll B -> -0.00503627
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out
deleted file mode 100644
index 24f119a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.065249:	q_mu = 3.85079	q_A  = 3.84951	CLsb = 0.02486	CLb  = 0.49987	CLs  = 0.04974
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0652
-Expected  2.5%: r < 0.0342
-Expected 16.0%: r < 0.0462
-Expected 50.0%: r < 0.0649
-Expected 84.0%: r < 0.0934
-Expected 97.5%: r < 0.1296
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt
deleted file mode 100644
index 12fc437..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/datacard_500_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1319.62 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06496    -
-JER       lnN     1.01686   - 
-JEC       lnN     1.00347   -
-trigger   lnN     1.10    -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/signal500_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/signal500_sig.log
deleted file mode 100644
index 3014dec..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_crystal_1_285_624/signal500_sig.log
+++ /dev/null
@@ -1,916 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18297.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   4.88508e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.52283e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.04492e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.27139e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.31849e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM MIGRAD    STATUS=CONVERGED     270 CALLS         271 TOTAL
-                     EDM=0.000209103    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.82781e+02   4.91816e-01   1.54936e-03   4.63902e-01
-   2  sg_p1        2.77322e+01   3.77130e-01   2.11298e-03  -7.95545e-04
-   3  sg_p2        4.00000e+02   7.22234e+00   3.62181e-02   1.52038e-02
-   4  sg_p3        9.99995e+01   7.83688e+00   5.52124e-02  -1.33082e-02
-   5  sg_p4        9.49597e-01   5.34566e-03   2.17525e-03   3.38347e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.201e-02  7.239e-06  6.832e-04 -2.726e-04 
- -1.201e-02  1.423e-01 -5.971e-04  4.705e-05  4.980e-04 
-  7.239e-06 -5.971e-04  7.635e-03 -3.089e-06 -2.189e-05 
-  6.832e-04  4.705e-05 -3.089e-06  1.671e-02  2.174e-06 
- -2.726e-04  4.980e-04 -2.189e-05  2.174e-06  2.858e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11194   1.000 -0.065  0.000  0.011 -0.104
-        2  0.25018  -0.065  1.000 -0.018  0.001  0.247
-        3  0.04761   0.000 -0.018  1.000 -0.000 -0.047
-        4  0.01159   0.011  0.001 -0.000  1.000  0.003
-        5  0.26559  -0.104  0.247 -0.047  0.003  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM HESSE     STATUS=OK             31 CALLS         302 TOTAL
-                     EDM=0.000214101    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.82781e+02   4.91810e-01   3.09872e-04  -2.43026e-01
-   2  sg_p1        2.77322e+01   3.77150e-01   8.45194e-05   2.59399e-01
-   3  sg_p2        4.00000e+02   7.23045e+00   7.24363e-03  -1.56845e+00
-   4  sg_p3        9.99995e+01   7.86694e+00   1.10425e-02   1.56600e+00
-   5  sg_p4        9.49597e-01   5.34101e-03   4.35051e-04   1.11793e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.221e-02  2.317e-06  2.181e-05 -2.728e-04 
- -1.221e-02  1.423e-01 -1.751e-04  1.477e-06  4.978e-04 
-  2.317e-06 -1.751e-04  7.644e-03 -2.852e-08 -6.407e-06 
-  2.181e-05  1.477e-06 -2.852e-08  1.678e-02  6.944e-08 
- -2.728e-04  4.978e-04 -6.407e-06  6.944e-08  2.853e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11182   1.000 -0.066  0.000  0.000 -0.104
-        2  0.25038  -0.066  1.000 -0.005  0.000  0.247
-        3  0.01394   0.000 -0.005  1.000 -0.000 -0.014
-        4  0.00037   0.000  0.000 -0.000  1.000  0.000
-        5  0.26252  -0.104  0.247 -0.014  0.000  1.000
-500
-482.781 +- 0.49181
-27.7322 +- 0.37715
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18169.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   3.31882e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   8.82382e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   9.40789e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.28474e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.45518e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM MIGRAD    STATUS=CONVERGED     298 CALLS         299 TOTAL
-                     EDM=6.02039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.84762e+02   4.94191e-01   1.52434e-03   1.30913e-01
-   2  sg_p1        2.76557e+01   3.74902e-01   2.09728e-03   4.83776e-02
-   3  sg_p2        4.00000e+02   4.37949e+00   2.80592e-02** at limit **
-   4  sg_p3        9.99992e+01   6.41285e+01   1.21382e-01   2.55150e-03
-   5  sg_p4        9.47779e-01   5.38139e-03   2.15294e-03  -2.62881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.442e-01 -1.391e-02  1.965e-06  1.328e-02 -2.985e-04 
- -1.391e-02  1.406e-01 -2.130e-05 -8.696e-04  4.743e-04 
-  1.965e-06 -2.130e-05  4.142e-05 -4.503e-06 -8.642e-07 
-  1.328e-02 -8.696e-04 -4.503e-06  1.378e-01  3.311e-05 
- -2.985e-04  4.743e-04 -8.642e-07  3.311e-05  2.896e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14334   1.000 -0.075  0.001  0.072 -0.112
-        2  0.24021  -0.075  1.000 -0.009 -0.006  0.235
-        3  0.02528   0.001 -0.009  1.000 -0.002 -0.025
-        4  0.07681   0.072 -0.006 -0.002  1.000  0.017
-        5  0.25571  -0.112  0.235 -0.025  0.017  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM HESSE     STATUS=OK             35 CALLS         334 TOTAL
-                     EDM=5.16959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.84762e+02   5.00293e-01   3.04869e-04  -1.75493e-01
-   2  sg_p1        2.76557e+01   3.74977e-01   8.38911e-05   2.54605e-01
-   3  sg_p2        4.00000e+02   4.38207e+00   5.61185e-03  -1.57057e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.99992e+01   1.55865e+01   4.95239e-01   1.57658e+00
-   5  sg_p4        9.47779e-01   5.38465e-03   4.30589e-04   1.10968e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.503e-01 -1.437e-02 -1.054e-07  1.912e-02 -2.821e-04 
- -1.437e-02  1.406e-01 -4.527e-06 -8.788e-04  4.745e-04 
- -1.054e-07 -4.527e-06  4.144e-05 -1.618e-06 -1.856e-07 
-  1.912e-02 -8.788e-04 -1.618e-06  4.993e-02  5.148e-05 
- -2.821e-04  4.745e-04 -1.856e-07  5.148e-05  2.900e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21046   1.000 -0.077 -0.000  0.171 -0.105
-        2  0.24099  -0.077  1.000 -0.002 -0.010  0.235
-        3  0.00549  -0.000 -0.002  1.000 -0.001 -0.005
-        4  0.18195   0.171 -0.010 -0.001  1.000  0.043
-        5  0.25791  -0.105  0.235 -0.005  0.043  1.000
-500
-484.762 +- 0.500293
-27.6557 +- 0.374977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18067.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   6.30906e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.68366e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.15954e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.16092e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.26605e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=3.64156e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.80603e+02   4.87655e-01   1.55641e-03   1.00438e-01
-   2  sg_p1        2.73597e+01   3.75999e-01   2.07241e-03  -3.88766e-02
-   3  sg_p2        4.00000e+02   7.70615e+00   3.73444e-02  -1.20875e-02
-   4  sg_p3        9.99999e+01   9.07676e+00   5.91616e-02   4.30185e-03
-   5  sg_p4        9.52020e-01   5.29904e-03   2.18424e-03  -2.42849e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.252e-02  1.605e-06  3.978e-04 -2.735e-04 
- -1.252e-02  1.414e-01 -4.268e-04  1.441e-06  5.110e-04 
-  1.605e-06 -4.268e-04  5.890e-03 -4.600e-07 -1.533e-05 
-  3.978e-04  1.441e-06 -4.600e-07  2.758e-03  4.935e-07 
- -2.735e-04  5.110e-04 -1.533e-05  4.935e-07  2.809e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11523   1.000 -0.068  0.000  0.016 -0.106
-        2  0.25980  -0.068  1.000 -0.015  0.000  0.256
-        3  0.03828   0.000 -0.015  1.000 -0.000 -0.038
-        4  0.01591   0.016  0.000 -0.000  1.000  0.002
-        5  0.27342  -0.106  0.256 -0.038  0.002  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM HESSE     STATUS=OK             31 CALLS         311 TOTAL
-                     EDM=3.66903e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.80603e+02   4.87622e-01   3.11281e-04  -3.18584e-01
-   2  sg_p1        2.73597e+01   3.76029e-01   8.28962e-05   2.36108e-01
-   3  sg_p2        4.00000e+02   7.72173e+00   7.46888e-03  -1.57279e+00
-   4  sg_p3        9.99999e+01   9.11980e+00   1.18323e-02   1.57260e+00
-   5  sg_p4        9.52020e-01   5.29594e-03   8.73698e-05   1.12913e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.272e-02  2.233e-07  9.824e-05 -2.737e-04 
- -1.272e-02  1.414e-01 -4.487e-05  2.340e-07  5.111e-04 
-  2.233e-07 -4.487e-05  5.902e-03 -1.148e-08 -1.609e-06 
-  9.824e-05  2.340e-07 -1.148e-08  2.771e-03  1.224e-07 
- -2.737e-04  5.111e-04 -1.609e-06  1.224e-07  2.805e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11467   1.000 -0.069  0.000  0.004 -0.106
-        2  0.26008  -0.069  1.000 -0.002  0.000  0.257
-        3  0.00402   0.000 -0.002  1.000 -0.000 -0.004
-        4  0.00392   0.004  0.000 -0.000  1.000  0.000
-        5  0.27142  -0.106  0.257 -0.004  0.000  1.000
-500
-480.603 +- 0.487622
-27.3597 +- 0.376029
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16835.6 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.93448e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.78837e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66272e+02
-   4  sg_p3        4.24477e+01   1.40000e+01  -5.66239e-01   4.08068e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.94465e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.0123886    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03549e+02   3.01469e-01   1.32569e-03   7.22248e-02
-   2  sg_p1        1.64694e+01   2.69674e-01   1.82958e-03   1.11175e-01
-   3  sg_p2        4.52623e+02   1.84688e+01   1.67733e-02  -5.64013e-01
-   4  sg_p3        1.31659e+02   2.60244e+01   4.76520e-02  -2.04899e-01
-   5  sg_p4        9.27815e-01   7.08262e-03   2.04007e-03  -6.32432e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16163.1 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=1.39803e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03541e+02   3.02714e-01  -6.04564e-05  -2.41635e-02
-   2  sg_p1        1.64684e+01   2.71856e-01   1.82456e-04   2.35248e-02
-   3  sg_p2        4.54550e+02   1.81378e+01  -3.71817e-04   2.34305e-03
-   4  sg_p3        1.35056e+02   2.96709e+01   1.70336e-02  -8.15967e-03
-   5  sg_p4        9.27449e-01   7.04529e-03   2.19134e-05  -1.27756e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.164e-02 -7.657e-03 -1.012e-01 -1.679e+00 -7.191e-05 
- -7.657e-03  7.392e-02 -1.518e+00  2.592e+00  7.352e-04 
- -1.012e-01 -1.518e+00  3.340e+02 -8.231e+01 -5.363e-02 
- -1.679e+00  2.592e+00 -8.231e+01  1.069e+03 -1.492e-03 
- -7.191e-05  7.352e-04 -5.363e-02 -1.492e-03  4.965e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18907   1.000 -0.093 -0.018 -0.170 -0.034
-        2  0.49868  -0.093  1.000 -0.305  0.292  0.384
-        3  0.45946  -0.018 -0.305  1.000 -0.138 -0.416
-        4  0.36545  -0.170  0.292 -0.138  1.000 -0.006
-        5  0.51683  -0.034  0.384 -0.416 -0.006  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             39 CALLS         333 TOTAL
-                     EDM=4.95712e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03541e+02   3.01948e-01   1.32548e-03   1.78010e-01
-   2  sg_p1        1.64684e+01   2.69373e-01   1.82921e-03  -1.77589e-01
-   3  sg_p2        4.54550e+02   1.88889e+01   1.71373e-02  -4.39830e-01
-   4  sg_p3        1.35056e+02   2.91667e+01   5.83968e-02   9.05144e-01
-   5  sg_p4        9.27449e-01   7.08973e-03   2.04457e-03   1.02536e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.118e-02 -6.694e-03 -1.967e-01 -1.492e+00 -6.118e-05 
- -6.694e-03  7.258e-02 -1.499e+00  2.192e+00  7.371e-04 
- -1.967e-01 -1.499e+00  3.627e+02 -4.939e+01 -5.738e-02 
- -1.492e+00  2.192e+00 -4.939e+01  1.025e+03 -5.946e-03 
- -6.118e-05  7.371e-04 -5.738e-02 -5.946e-03  5.028e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17693   1.000 -0.082 -0.034 -0.154 -0.029
-        2  0.48331  -0.082  1.000 -0.292  0.254  0.386
-        3  0.45514  -0.034 -0.292  1.000 -0.081 -0.425
-        4  0.32411  -0.154  0.254 -0.081  1.000 -0.026
-        5  0.52326  -0.029  0.386 -0.425 -0.026  1.000
-500
-503.541 +- 0.301948
-16.4684 +- 0.269373
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16739.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.55651e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.48786e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.68451e+02
-   4  sg_p3        4.32221e+01   1.40000e+01  -5.53184e-01   1.18283e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.96034e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=8.68132e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.04220e+02   3.07707e-01   1.35237e-03   1.08303e-01
-   2  sg_p1        1.66795e+01   2.77507e-01   1.84894e-03   6.94551e-02
-   3  sg_p2        4.62822e+02   1.91078e+01   1.68854e-02  -1.14748e-02
-   4  sg_p3        1.35582e+02   3.03789e+01   6.57946e-02   1.08838e-02
-   5  sg_p4        9.28230e-01   7.23504e-03   2.06982e-03  -3.02724e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.469e-02 -7.947e-03 -3.583e-01 -1.715e+00 -8.078e-05 
- -7.947e-03  7.703e-02 -1.315e+00  2.634e+00  8.091e-04 
- -3.583e-01 -1.315e+00  3.708e+02  4.728e+01 -6.075e-02 
- -1.715e+00  2.634e+00  4.728e+01  1.145e+03  2.032e-03 
- -8.078e-05  8.091e-04 -6.075e-02  2.032e-03  5.236e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18853   1.000 -0.093 -0.060 -0.165 -0.036
-        2  0.50124  -0.093  1.000 -0.246  0.281  0.403
-        3  0.46006  -0.060 -0.246  1.000  0.073 -0.436
-        4  0.34759  -0.165  0.281  0.073  1.000  0.008
-        5  0.53639  -0.036  0.403 -0.436  0.008  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM HESSE     STATUS=OK             31 CALLS         345 TOTAL
-                     EDM=9.10947e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.04220e+02   3.08377e-01   2.70474e-04   2.12615e-01
-   2  sg_p1        1.66795e+01   2.80568e-01   3.69788e-04  -1.58971e-01
-   3  sg_p2        4.62822e+02   1.90695e+01   6.75418e-04  -3.45556e-01
-   4  sg_p3        1.35582e+02   3.07077e+01   2.63178e-03   9.17410e-01
-   5  sg_p4        9.28230e-01   7.23811e-03   4.13965e-04   1.02837e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.510e-02 -8.877e-03 -3.212e-01 -1.872e+00 -9.078e-05 
- -8.877e-03  7.873e-02 -1.370e+00  3.011e+00  8.254e-04 
- -3.212e-01 -1.370e+00  3.693e+02  2.368e+01 -6.065e-02 
- -1.872e+00  3.011e+00  2.368e+01  1.177e+03  7.626e-03 
- -9.078e-05  8.254e-04 -6.065e-02  7.626e-03  5.240e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19932   1.000 -0.103 -0.054 -0.177 -0.041
-        2  0.51720  -0.103  1.000 -0.254  0.313  0.406
-        3  0.45661  -0.054 -0.254  1.000  0.036 -0.436
-        4  0.36806  -0.177  0.313  0.036  1.000  0.031
-        5  0.53695  -0.041  0.406 -0.436  0.031  1.000
-500
-504.22 +- 0.308377
-16.6795 +- 0.280568
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.23108e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.18946e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.42436e+02
-   4  sg_p3        4.43542e+01   1.40000e+01  -5.34286e-01   2.49400e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.66244e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             37 CALLS         242 TOTAL
-                     EDM=0.000693776    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02838e+02   2.97826e-01   1.28795e-03  -1.05531e-02
-   2  sg_p1        1.60782e+01   2.67978e-01   1.80577e-03   2.44112e-02
-   3  sg_p2        4.64332e+02   1.37627e+01   1.17387e-02   2.07821e-01
-   4  sg_p3        1.14468e+02   2.01486e+01   2.64964e-02   5.48597e-02
-   5  sg_p4        9.27839e-01   7.15691e-03   2.03796e-03   1.57814e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15889.1 FROM MIGRAD    STATUS=CONVERGED     254 CALLS         255 TOTAL
-                     EDM=9.17556e-06    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.8 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02840e+02   2.97434e-01   8.32709e-05  -7.82024e-03
-   2  sg_p1        1.60782e+01   2.67892e-01  -2.85162e-06   4.43301e-03
-   3  sg_p2        4.63894e+02   1.38330e+01  -4.87307e-03  -3.70669e-03
-   4  sg_p3        1.14016e+02   1.92315e+01  -7.40995e-03  -1.25650e-02
-   5  sg_p4        9.27892e-01   7.16442e-03   2.06750e-04   1.26344e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.847e-02 -6.452e-03 -2.568e-01 -8.771e-01 -8.776e-05 
- -6.452e-03  7.178e-02 -9.238e-01  1.447e+00  8.030e-04 
- -2.568e-01 -9.238e-01  1.929e+02  9.107e+00 -4.221e-02 
- -8.771e-01  1.447e+00  9.107e+00  3.827e+02  1.223e-02 
- -8.776e-05  8.030e-04 -4.221e-02  1.223e-02  5.134e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17624   1.000 -0.081 -0.062 -0.151 -0.041
-        2  0.49356  -0.081  1.000 -0.248  0.276  0.418
-        3  0.44761  -0.062 -0.248  1.000  0.034 -0.424
-        4  0.31902  -0.151  0.276  0.034  1.000  0.087
-        5  0.53440  -0.041  0.418 -0.424  0.087  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             39 CALLS         294 TOTAL
-                     EDM=3.03558e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.02840e+02   2.97751e-01   5.15179e-04   1.42457e-01
-   2  sg_p1        1.60782e+01   2.68158e-01   7.22309e-04  -2.12184e-01
-   3  sg_p2        4.63894e+02   1.36806e+01   1.19116e-02  -3.33579e-01
-   4  sg_p3        1.14016e+02   1.97620e+01   2.70009e-02   5.07434e-01
-   5  sg_p4        9.27892e-01   7.16159e-03   2.03722e-03   1.02707e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.866e-02 -6.740e-03 -2.651e-01 -9.501e-01 -8.838e-05 
- -6.740e-03  7.192e-02 -8.846e-01  1.490e+00  8.010e-04 
- -2.651e-01 -8.846e-01  1.886e+02  2.011e+01 -4.167e-02 
- -9.501e-01  1.490e+00  2.011e+01  4.049e+02  1.100e-02 
- -8.838e-05  8.010e-04 -4.167e-02  1.100e-02  5.130e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18198   1.000 -0.084 -0.065 -0.159 -0.041
-        2  0.49512  -0.084  1.000 -0.240  0.276  0.417
-        3  0.45379  -0.065 -0.240  1.000  0.073 -0.424
-        4  0.33483  -0.159  0.276  0.073  1.000  0.076
-        5  0.53499  -0.041  0.417 -0.424  0.076  1.000
-500
-502.84 +- 0.297751
-16.0782 +- 0.268158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16477.8 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.86200e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.57301e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.88126e+02
-   4  sg_p3        4.29079e+01   1.40000e+01  -5.58468e-01   8.72628e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.83965e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             33 CALLS         278 TOTAL
-                     EDM=0.00228562    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03601e+02   3.08955e-01   1.34585e-03   3.00627e-01
-   2  sg_p1        1.67537e+01   2.75890e-01   1.84217e-03   1.71804e-01
-   3  sg_p2        4.49584e+02   2.10318e+01   1.89093e-02  -1.86124e-01
-   4  sg_p3        1.37208e+02   2.92076e+01   6.33389e-02  -7.21712e-02
-   5  sg_p4        9.31031e-01   7.12595e-03   2.05778e-03  -2.05034e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15837 FROM MIGRAD    STATUS=CONVERGED     290 CALLS         291 TOTAL
-                     EDM=9.94244e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   5.2 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03597e+02   3.10422e-01  -2.20880e-04   7.26010e-03
-   2  sg_p1        1.67527e+01   2.74763e-01  -8.54234e-05  -2.36066e-02
-   3  sg_p2        4.50350e+02   1.99263e+01   9.15141e-03   7.10266e-03
-   4  sg_p3        1.38778e+02   3.01976e+01   4.00555e-02  -1.66420e-02
-   5  sg_p4        9.30902e-01   7.07722e-03  -5.07201e-04  -3.19630e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.637e-02 -7.329e-03 -9.169e-02 -1.905e+00 -5.097e-05 
- -7.329e-03  7.551e-02 -1.688e+00  2.407e+00  7.425e-04 
- -9.169e-02 -1.688e+00  4.048e+02 -1.012e+02 -6.013e-02 
- -1.905e+00  2.407e+00 -1.012e+02  1.218e+03 -1.228e-02 
- -5.097e-05  7.425e-04 -6.013e-02 -1.228e-02  5.010e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19304   1.000 -0.086 -0.015 -0.176 -0.023
-        2  0.48229  -0.086  1.000 -0.305  0.251  0.382
-        3  0.47089  -0.015 -0.305  1.000 -0.144 -0.422
-        4  0.36202  -0.176  0.251 -0.144  1.000 -0.050
-        5  0.52945  -0.023  0.382 -0.422 -0.050  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             41 CALLS         332 TOTAL
-                     EDM=6.005e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03597e+02   3.09136e-01   1.34573e-03   1.80817e-01
-   2  sg_p1        1.67527e+01   2.75606e-01   1.84171e-03  -1.52530e-01
-   3  sg_p2        4.50350e+02   2.12182e+01   1.91941e-02  -4.89291e-01
-   4  sg_p3        1.38778e+02   3.03916e+01   7.62661e-02   9.96701e-01
-   5  sg_p4        9.30902e-01   7.12819e-03   2.05809e-03   1.03882e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.557e-02 -6.148e-03 -1.876e-01 -1.605e+00 -4.622e-05 
- -6.148e-03  7.597e-02 -1.916e+00  2.306e+00  7.753e-04 
- -1.876e-01 -1.916e+00  4.602e+02 -1.123e+02 -6.665e-02 
- -1.605e+00  2.306e+00 -1.123e+02  1.240e+03 -9.523e-03 
- -4.622e-05  7.753e-04 -6.665e-02 -9.523e-03  5.082e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17020   1.000 -0.072 -0.028 -0.147 -0.021
-        2  0.48615  -0.072  1.000 -0.324  0.238  0.395
-        3  0.48715  -0.028 -0.324  1.000 -0.149 -0.436
-        4  0.33778  -0.147  0.238 -0.149  1.000 -0.038
-        5  0.53739  -0.021  0.395 -0.436 -0.038  1.000
-500
-503.597 +- 0.309136
-16.7527 +- 0.275606
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16981.8 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.05566e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.79846e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.38683e+02
-   4  sg_p3        3.85734e+01   1.40000e+01  -6.33300e-01  -1.09954e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.06818e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             33 CALLS         261 TOTAL
-                     EDM=0.000884701    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03638e+02   2.96476e-01   1.30613e-03  -5.89524e-02
-   2  sg_p1        1.61908e+01   2.68536e-01   1.81793e-03  -9.06324e-02
-   3  sg_p2        4.64623e+02   1.46357e+01   1.25261e-02   2.17668e-01
-   4  sg_p3        1.18516e+02   2.19593e+01   3.03884e-02   5.10539e-02
-   5  sg_p4        9.27881e-01   7.13588e-03   2.04703e-03   7.03448e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16302.6 FROM MIGRAD    STATUS=CONVERGED     273 CALLS         274 TOTAL
-                     EDM=1.35619e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   3.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03639e+02   2.96022e-01   9.77721e-05  -9.91628e-03
-   2  sg_p1        1.61919e+01   2.69186e-01   9.95735e-05   3.66259e-03
-   3  sg_p2        4.64075e+02   1.47143e+01  -6.09837e-03  -4.10999e-03
-   4  sg_p3        1.17996e+02   2.09578e+01  -8.86611e-03  -1.33437e-02
-   5  sg_p4        9.27974e-01   7.15584e-03   3.61873e-04   3.29176e-06
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.764e-02 -6.654e-03 -2.734e-01 -9.694e-01 -8.441e-05 
- -6.654e-03  7.247e-02 -1.035e+00  1.644e+00  8.204e-04 
- -2.734e-01 -1.035e+00  2.185e+02  1.062e+01 -4.631e-02 
- -9.694e-01  1.644e+00  1.062e+01  4.592e+02  1.234e-02 
- -8.441e-05  8.204e-04 -4.631e-02  1.234e-02  5.122e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17873   1.000 -0.083 -0.062 -0.153 -0.040
-        2  0.50630  -0.083  1.000 -0.260  0.285  0.426
-        3  0.46142  -0.062 -0.260  1.000  0.034 -0.438
-        4  0.32893  -0.153  0.285  0.034  1.000  0.080
-        5  0.54522  -0.040  0.426 -0.438  0.080  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             41 CALLS         315 TOTAL
-                     EDM=4.81522e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03639e+02   2.96371e-01   1.30576e-03   1.82991e-01
-   2  sg_p1        1.61919e+01   2.68611e-01   1.81691e-03  -2.02075e-01
-   3  sg_p2        4.64075e+02   1.45352e+01   1.27410e-02  -3.31572e-01
-   4  sg_p3        1.17996e+02   2.14738e+01   3.10172e-02   5.73772e-01
-   5  sg_p4        9.27974e-01   7.13651e-03   2.04596e-03   1.02738e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.784e-02 -6.886e-03 -2.835e-01 -1.054e+00 -8.375e-05 
- -6.886e-03  7.217e-02 -9.670e-01  1.646e+00  8.068e-04 
- -2.835e-01 -9.670e-01  2.131e+02  2.545e+01 -4.521e-02 
- -1.054e+00  1.646e+00  2.545e+01  4.832e+02  9.584e-03 
- -8.375e-05  8.068e-04 -4.521e-02  9.584e-03  5.094e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18509   1.000 -0.086 -0.066 -0.162 -0.040
-        2  0.50306  -0.086  1.000 -0.247  0.279  0.421
-        3  0.46399  -0.066 -0.247  1.000  0.079 -0.434
-        4  0.34172  -0.162  0.279  0.079  1.000  0.061
-        5  0.54250  -0.040  0.421 -0.434  0.061  1.000
-500
-503.639 +- 0.296371
-16.1919 +- 0.268611
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15760.3 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.68945e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.51251e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.65516e+02
-   4  sg_p3        4.28306e+01   1.40000e+01  -5.59769e-01   7.96964e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.63393e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.00917808    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03544e+02   3.11234e-01   1.32359e-03   3.99151e-02
-   2  sg_p1        1.64644e+01   2.78325e-01   1.82583e-03   8.26169e-02
-   3  sg_p2        4.53596e+02   1.89196e+01   1.66163e-02  -4.74680e-01
-   4  sg_p3        1.30948e+02   2.69531e+01   4.74560e-02  -1.69826e-01
-   5  sg_p4        9.28806e-01   7.28371e-03   2.04213e-03  -7.21183e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15131 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=1.59446e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   8.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03538e+02   3.12525e-01  -4.41178e-05  -1.54585e-02
-   2  sg_p1        1.64635e+01   2.80799e-01   1.36626e-04   1.03835e-02
-   3  sg_p2        4.55327e+02   1.85938e+01  -2.83276e-04   1.31641e-03
-   4  sg_p3        1.33880e+02   3.06660e+01   1.19135e-02  -8.53961e-03
-   5  sg_p4        9.28489e-01   7.24733e-03   2.34109e-05  -1.19312e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.768e-02 -8.237e-03 -1.269e-01 -1.811e+00 -7.804e-05 
- -8.237e-03  7.886e-02 -1.583e+00  2.810e+00  7.851e-04 
- -1.269e-01 -1.583e+00  3.512e+02 -7.894e+01 -5.706e-02 
- -1.811e+00  2.810e+00 -7.894e+01  1.142e+03  2.159e-04 
- -7.804e-05  7.851e-04 -5.706e-02  2.159e-04  5.254e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19100   1.000 -0.094 -0.022 -0.171 -0.034
-        2  0.50054  -0.094  1.000 -0.301  0.296  0.386
-        3  0.45764  -0.022 -0.301  1.000 -0.125 -0.420
-        4  0.36350  -0.171  0.296 -0.125  1.000  0.001
-        5  0.51853  -0.034  0.386 -0.420  0.001  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             39 CALLS         332 TOTAL
-                     EDM=8.18863e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03538e+02   3.11671e-01   1.32357e-03   1.77834e-01
-   2  sg_p1        1.64635e+01   2.78053e-01   1.82591e-03  -1.78022e-01
-   3  sg_p2        4.55327e+02   1.93050e+01   1.69364e-02  -4.30811e-01
-   4  sg_p3        1.33880e+02   2.97612e+01   5.65680e-02   8.78399e-01
-   5  sg_p4        9.28489e-01   7.28924e-03   2.04602e-03   1.02938e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.715e-02 -7.165e-03 -2.210e-01 -1.574e+00 -6.699e-05 
- -7.165e-03  7.733e-02 -1.562e+00  2.322e+00  7.859e-04 
- -2.210e-01 -1.562e+00  3.791e+02 -4.296e+01 -6.069e-02 
- -1.574e+00  2.322e+00 -4.296e+01  1.061e+03 -4.723e-03 
- -6.699e-05  7.859e-04 -6.069e-02 -4.723e-03  5.315e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17762   1.000 -0.083 -0.036 -0.155 -0.029
-        2  0.48429  -0.083  1.000 -0.289  0.256  0.388
-        3  0.45436  -0.036 -0.289  1.000 -0.068 -0.428
-        4  0.32111  -0.155  0.256 -0.068  1.000 -0.020
-        5  0.52435  -0.029  0.388 -0.428 -0.020  1.000
-500
-503.538 +- 0.311671
-16.4635 +- 0.278053
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17965.7 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.19180e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.07558e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66310e+02
-   4  sg_p3        4.20660e+01   1.40000e+01  -5.72713e-01  -5.27926e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.26010e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             31 CALLS         273 TOTAL
-                     EDM=0.0158866    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03553e+02   2.92162e-01   1.32752e-03   1.92047e-01
-   2  sg_p1        1.64746e+01   2.61492e-01   1.83264e-03   9.93853e-02
-   3  sg_p2        4.51603e+02   1.81044e+01   1.70017e-02  -6.77062e-01
-   4  sg_p3        1.32529e+02   2.52771e+01   4.84704e-02  -2.30017e-01
-   5  sg_p4        9.26851e-01   6.88981e-03   2.03844e-03  -1.42588e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17247.2 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=4.77096e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03545e+02   2.93438e-01  -5.87528e-05  -3.40309e-02
-   2  sg_p1        1.64727e+01   2.63670e-01   1.74859e-04   2.14591e-02
-   3  sg_p2        4.53798e+02   1.77853e+01  -4.09286e-04   3.31652e-04
-   4  sg_p3        1.35998e+02   2.90570e+01   1.70332e-02  -1.52432e-02
-   5  sg_p4        9.26443e-01   6.85608e-03   1.63285e-05  -2.74842e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.611e-02 -7.218e-03 -7.462e-02 -1.599e+00 -6.663e-05 
- -7.218e-03  6.953e-02 -1.469e+00  2.461e+00  6.909e-04 
- -7.462e-02 -1.469e+00  3.210e+02 -8.810e+01 -5.081e-02 
- -1.599e+00  2.461e+00 -8.810e+01  1.030e+03 -2.764e-03 
- -6.663e-05  6.909e-04 -5.081e-02 -2.764e-03  4.702e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18896   1.000 -0.093 -0.014 -0.170 -0.033
-        2  0.49890  -0.093  1.000 -0.311  0.291  0.382
-        3  0.46311  -0.014 -0.311  1.000 -0.153 -0.414
-        4  0.37220  -0.170  0.291 -0.153  1.000 -0.013
-        5  0.51605  -0.033  0.382 -0.414 -0.013  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             37 CALLS         332 TOTAL
-                     EDM=2.5481e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03545e+02   2.92634e-01   1.32733e-03   1.78200e-01
-   2  sg_p1        1.64727e+01   2.61019e-01   1.83240e-03  -1.77216e-01
-   3  sg_p2        4.53798e+02   1.84402e+01   1.73428e-02  -4.48601e-01
-   4  sg_p3        1.35998e+02   2.83987e+01   6.04366e-02   9.27242e-01
-   5  sg_p4        9.26443e-01   6.89823e-03   2.04324e-03   1.02149e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.564e-02 -6.233e-03 -1.752e-01 -1.395e+00 -5.632e-05 
- -6.233e-03  6.814e-02 -1.435e+00  2.042e+00  6.927e-04 
- -1.752e-01 -1.435e+00  3.454e+02 -5.423e+01 -5.416e-02 
- -1.395e+00  2.042e+00 -5.423e+01  9.726e+02 -6.753e-03 
- -5.632e-05  6.927e-04 -5.416e-02 -6.753e-03  4.760e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17564   1.000 -0.082 -0.032 -0.153 -0.028
-        2  0.48195  -0.082  1.000 -0.296  0.251  0.385
-        3  0.45633  -0.032 -0.296  1.000 -0.094 -0.422
-        4  0.32602  -0.153  0.251 -0.094  1.000 -0.031
-        5  0.52240  -0.028  0.385 -0.422 -0.031  1.000
-500
-503.545 +- 0.292634
-16.4727 +- 0.261019
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 37 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 57 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 59 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 110 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 503.541 +- 0.301948 (stat) - 0.701904 + 0.678912 (syst); -0.717957/+0.695495 (total)
-   Uncertainty on sg_p1 = 16.4684 +- 0.269373 (stat) - 0.390296 + 0.284252 (syst); -0.412882/+0.314547 (total)
-   Uncertainty on sg_p2 = 454.55 +- 18.8889 (stat) - 4.20037 + 9.52429 (syst); -10.3364/+13.4131 (total)
-   Uncertainty on sg_p3 = 135.056 +- 29.1667 (stat) - 21.0404 + 3.7219 (syst); -25.6003/+15.0508 (total)
-   Uncertainty on sg_p4 = 0.927449 +- 0.00708973 (stat) - 0.00100662 + 0.0034528 (syst); -0.00368502/+0.00494853 (total) 
-   === Baseline plot === </br>
-   norm = 1319.62
-JEC     lnN   1.00347  -
-JER     lnN   1.01686  -
-btag    lnN   1.06496  -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out
deleted file mode 100644
index 762fd58..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00168806  -0.00168806/+0.0329834  (68% CL)
-nll S+B -> -0.0646106  nll B -> -0.0632696
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out
deleted file mode 100644
index 986f740..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/CMS_HH4b_500_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.068612:	q_mu = 3.85061	q_A  = 3.79227	CLsb = 0.02486	CLb  = 0.49402	CLs  = 0.05032
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0686
-Expected  2.5%: r < 0.0374
-Expected 16.0%: r < 0.0497
-Expected 50.0%: r < 0.0688
-Expected 84.0%: r < 0.0977
-Expected 97.5%: r < 0.1347
-
-Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt
deleted file mode 100644
index 236cb5a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/datacard_500_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_500.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1319.62 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06496    -
-JER       lnN     1.01686   - 
-JEC       lnN     1.00347   -
-trigger   lnN     1.10    -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/signal500_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/signal500_sig.log
deleted file mode 100644
index 3014dec..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_500_novo_285_624/signal500_sig.log
+++ /dev/null
@@ -1,916 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18297.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   4.88508e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.52283e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.04492e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.27139e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.31849e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM MIGRAD    STATUS=CONVERGED     270 CALLS         271 TOTAL
-                     EDM=0.000209103    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.82781e+02   4.91816e-01   1.54936e-03   4.63902e-01
-   2  sg_p1        2.77322e+01   3.77130e-01   2.11298e-03  -7.95545e-04
-   3  sg_p2        4.00000e+02   7.22234e+00   3.62181e-02   1.52038e-02
-   4  sg_p3        9.99995e+01   7.83688e+00   5.52124e-02  -1.33082e-02
-   5  sg_p4        9.49597e-01   5.34566e-03   2.17525e-03   3.38347e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.201e-02  7.239e-06  6.832e-04 -2.726e-04 
- -1.201e-02  1.423e-01 -5.971e-04  4.705e-05  4.980e-04 
-  7.239e-06 -5.971e-04  7.635e-03 -3.089e-06 -2.189e-05 
-  6.832e-04  4.705e-05 -3.089e-06  1.671e-02  2.174e-06 
- -2.726e-04  4.980e-04 -2.189e-05  2.174e-06  2.858e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11194   1.000 -0.065  0.000  0.011 -0.104
-        2  0.25018  -0.065  1.000 -0.018  0.001  0.247
-        3  0.04761   0.000 -0.018  1.000 -0.000 -0.047
-        4  0.01159   0.011  0.001 -0.000  1.000  0.003
-        5  0.26559  -0.104  0.247 -0.047  0.003  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17871.1 FROM HESSE     STATUS=OK             31 CALLS         302 TOTAL
-                     EDM=0.000214101    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.82781e+02   4.91810e-01   3.09872e-04  -2.43026e-01
-   2  sg_p1        2.77322e+01   3.77150e-01   8.45194e-05   2.59399e-01
-   3  sg_p2        4.00000e+02   7.23045e+00   7.24363e-03  -1.56845e+00
-   4  sg_p3        9.99995e+01   7.86694e+00   1.10425e-02   1.56600e+00
-   5  sg_p4        9.49597e-01   5.34101e-03   4.35051e-04   1.11793e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.419e-01 -1.221e-02  2.317e-06  2.181e-05 -2.728e-04 
- -1.221e-02  1.423e-01 -1.751e-04  1.477e-06  4.978e-04 
-  2.317e-06 -1.751e-04  7.644e-03 -2.852e-08 -6.407e-06 
-  2.181e-05  1.477e-06 -2.852e-08  1.678e-02  6.944e-08 
- -2.728e-04  4.978e-04 -6.407e-06  6.944e-08  2.853e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11182   1.000 -0.066  0.000  0.000 -0.104
-        2  0.25038  -0.066  1.000 -0.005  0.000  0.247
-        3  0.01394   0.000 -0.005  1.000 -0.000 -0.014
-        4  0.00037   0.000  0.000 -0.000  1.000  0.000
-        5  0.26252  -0.104  0.247 -0.014  0.000  1.000
-500
-482.781 +- 0.49181
-27.7322 +- 0.37715
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18169.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   3.31882e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   8.82382e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   9.40789e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.28474e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.45518e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM MIGRAD    STATUS=CONVERGED     298 CALLS         299 TOTAL
-                     EDM=6.02039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.84762e+02   4.94191e-01   1.52434e-03   1.30913e-01
-   2  sg_p1        2.76557e+01   3.74902e-01   2.09728e-03   4.83776e-02
-   3  sg_p2        4.00000e+02   4.37949e+00   2.80592e-02** at limit **
-   4  sg_p3        9.99992e+01   6.41285e+01   1.21382e-01   2.55150e-03
-   5  sg_p4        9.47779e-01   5.38139e-03   2.15294e-03  -2.62881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.442e-01 -1.391e-02  1.965e-06  1.328e-02 -2.985e-04 
- -1.391e-02  1.406e-01 -2.130e-05 -8.696e-04  4.743e-04 
-  1.965e-06 -2.130e-05  4.142e-05 -4.503e-06 -8.642e-07 
-  1.328e-02 -8.696e-04 -4.503e-06  1.378e-01  3.311e-05 
- -2.985e-04  4.743e-04 -8.642e-07  3.311e-05  2.896e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.14334   1.000 -0.075  0.001  0.072 -0.112
-        2  0.24021  -0.075  1.000 -0.009 -0.006  0.235
-        3  0.02528   0.001 -0.009  1.000 -0.002 -0.025
-        4  0.07681   0.072 -0.006 -0.002  1.000  0.017
-        5  0.25571  -0.112  0.235 -0.025  0.017  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17775 FROM HESSE     STATUS=OK             35 CALLS         334 TOTAL
-                     EDM=5.16959e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.84762e+02   5.00293e-01   3.04869e-04  -1.75493e-01
-   2  sg_p1        2.76557e+01   3.74977e-01   8.38911e-05   2.54605e-01
-   3  sg_p2        4.00000e+02   4.38207e+00   5.61185e-03  -1.57057e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        9.99992e+01   1.55865e+01   4.95239e-01   1.57658e+00
-   5  sg_p4        9.47779e-01   5.38465e-03   4.30589e-04   1.10968e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.503e-01 -1.437e-02 -1.054e-07  1.912e-02 -2.821e-04 
- -1.437e-02  1.406e-01 -4.527e-06 -8.788e-04  4.745e-04 
- -1.054e-07 -4.527e-06  4.144e-05 -1.618e-06 -1.856e-07 
-  1.912e-02 -8.788e-04 -1.618e-06  4.993e-02  5.148e-05 
- -2.821e-04  4.745e-04 -1.856e-07  5.148e-05  2.900e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21046   1.000 -0.077 -0.000  0.171 -0.105
-        2  0.24099  -0.077  1.000 -0.002 -0.010  0.235
-        3  0.00549  -0.000 -0.002  1.000 -0.001 -0.005
-        4  0.18195   0.171 -0.010 -0.001  1.000  0.043
-        5  0.25791  -0.105  0.235 -0.005  0.043  1.000
-500
-484.762 +- 0.500293
-27.6557 +- 0.374977
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18067.3 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.90000e+02   6.00000e+00   2.01358e-01   6.30906e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.68366e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01   1.15954e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -1.16092e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -3.26605e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=3.64156e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        4.80603e+02   4.87655e-01   1.55641e-03   1.00438e-01
-   2  sg_p1        2.73597e+01   3.75999e-01   2.07241e-03  -3.88766e-02
-   3  sg_p2        4.00000e+02   7.70615e+00   3.73444e-02  -1.20875e-02
-   4  sg_p3        9.99999e+01   9.07676e+00   5.91616e-02   4.30185e-03
-   5  sg_p4        9.52020e-01   5.29904e-03   2.18424e-03  -2.42849e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.252e-02  1.605e-06  3.978e-04 -2.735e-04 
- -1.252e-02  1.414e-01 -4.268e-04  1.441e-06  5.110e-04 
-  1.605e-06 -4.268e-04  5.890e-03 -4.600e-07 -1.533e-05 
-  3.978e-04  1.441e-06 -4.600e-07  2.758e-03  4.935e-07 
- -2.735e-04  5.110e-04 -1.533e-05  4.935e-07  2.809e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11523   1.000 -0.068  0.000  0.016 -0.106
-        2  0.25980  -0.068  1.000 -0.015  0.000  0.256
-        3  0.03828   0.000 -0.015  1.000 -0.000 -0.038
-        4  0.01591   0.016  0.000 -0.000  1.000  0.002
-        5  0.27342  -0.106  0.256 -0.038  0.002  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17575.8 FROM HESSE     STATUS=OK             31 CALLS         311 TOTAL
-                     EDM=3.66903e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        4.80603e+02   4.87622e-01   3.11281e-04  -3.18584e-01
-   2  sg_p1        2.73597e+01   3.76029e-01   8.28962e-05   2.36108e-01
-   3  sg_p2        4.00000e+02   7.72173e+00   7.46888e-03  -1.57279e+00
-   4  sg_p3        9.99999e+01   9.11980e+00   1.18323e-02   1.57260e+00
-   5  sg_p4        9.52020e-01   5.29594e-03   8.73698e-05   1.12913e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.378e-01 -1.272e-02  2.233e-07  9.824e-05 -2.737e-04 
- -1.272e-02  1.414e-01 -4.487e-05  2.340e-07  5.111e-04 
-  2.233e-07 -4.487e-05  5.902e-03 -1.148e-08 -1.609e-06 
-  9.824e-05  2.340e-07 -1.148e-08  2.771e-03  1.224e-07 
- -2.737e-04  5.111e-04 -1.609e-06  1.224e-07  2.805e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.11467   1.000 -0.069  0.000  0.004 -0.106
-        2  0.26008  -0.069  1.000 -0.002  0.000  0.257
-        3  0.00402   0.000 -0.002  1.000 -0.000 -0.004
-        4  0.00392   0.004  0.000 -0.000  1.000  0.000
-        5  0.27142  -0.106  0.257 -0.004  0.000  1.000
-500
-480.603 +- 0.487622
-27.3597 +- 0.376029
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16835.6 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.93448e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.78837e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66272e+02
-   4  sg_p3        4.24477e+01   1.40000e+01  -5.66239e-01   4.08068e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.94465e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.0123886    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03549e+02   3.01469e-01   1.32569e-03   7.22248e-02
-   2  sg_p1        1.64694e+01   2.69674e-01   1.82958e-03   1.11175e-01
-   3  sg_p2        4.52623e+02   1.84688e+01   1.67733e-02  -5.64013e-01
-   4  sg_p3        1.31659e+02   2.60244e+01   4.76520e-02  -2.04899e-01
-   5  sg_p4        9.27815e-01   7.08262e-03   2.04007e-03  -6.32432e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16163.1 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=1.39803e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03541e+02   3.02714e-01  -6.04564e-05  -2.41635e-02
-   2  sg_p1        1.64684e+01   2.71856e-01   1.82456e-04   2.35248e-02
-   3  sg_p2        4.54550e+02   1.81378e+01  -3.71817e-04   2.34305e-03
-   4  sg_p3        1.35056e+02   2.96709e+01   1.70336e-02  -8.15967e-03
-   5  sg_p4        9.27449e-01   7.04529e-03   2.19134e-05  -1.27756e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.164e-02 -7.657e-03 -1.012e-01 -1.679e+00 -7.191e-05 
- -7.657e-03  7.392e-02 -1.518e+00  2.592e+00  7.352e-04 
- -1.012e-01 -1.518e+00  3.340e+02 -8.231e+01 -5.363e-02 
- -1.679e+00  2.592e+00 -8.231e+01  1.069e+03 -1.492e-03 
- -7.191e-05  7.352e-04 -5.363e-02 -1.492e-03  4.965e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18907   1.000 -0.093 -0.018 -0.170 -0.034
-        2  0.49868  -0.093  1.000 -0.305  0.292  0.384
-        3  0.45946  -0.018 -0.305  1.000 -0.138 -0.416
-        4  0.36545  -0.170  0.292 -0.138  1.000 -0.006
-        5  0.51683  -0.034  0.384 -0.416 -0.006  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16163.1 FROM HESSE     STATUS=OK             39 CALLS         333 TOTAL
-                     EDM=4.95712e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03541e+02   3.01948e-01   1.32548e-03   1.78010e-01
-   2  sg_p1        1.64684e+01   2.69373e-01   1.82921e-03  -1.77589e-01
-   3  sg_p2        4.54550e+02   1.88889e+01   1.71373e-02  -4.39830e-01
-   4  sg_p3        1.35056e+02   2.91667e+01   5.83968e-02   9.05144e-01
-   5  sg_p4        9.27449e-01   7.08973e-03   2.04457e-03   1.02536e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.118e-02 -6.694e-03 -1.967e-01 -1.492e+00 -6.118e-05 
- -6.694e-03  7.258e-02 -1.499e+00  2.192e+00  7.371e-04 
- -1.967e-01 -1.499e+00  3.627e+02 -4.939e+01 -5.738e-02 
- -1.492e+00  2.192e+00 -4.939e+01  1.025e+03 -5.946e-03 
- -6.118e-05  7.371e-04 -5.738e-02 -5.946e-03  5.028e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17693   1.000 -0.082 -0.034 -0.154 -0.029
-        2  0.48331  -0.082  1.000 -0.292  0.254  0.386
-        3  0.45514  -0.034 -0.292  1.000 -0.081 -0.425
-        4  0.32411  -0.154  0.254 -0.081  1.000 -0.026
-        5  0.52326  -0.029  0.386 -0.425 -0.026  1.000
-500
-503.541 +- 0.301948
-16.4684 +- 0.269373
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16739.6 FROM MIGRAD    STATUS=INITIATE       45 CALLS          46 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.55651e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.48786e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.68451e+02
-   4  sg_p3        4.32221e+01   1.40000e+01  -5.53184e-01   1.18283e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.96034e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM MIGRAD    STATUS=CONVERGED     313 CALLS         314 TOTAL
-                     EDM=8.68132e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.04220e+02   3.07707e-01   1.35237e-03   1.08303e-01
-   2  sg_p1        1.66795e+01   2.77507e-01   1.84894e-03   6.94551e-02
-   3  sg_p2        4.62822e+02   1.91078e+01   1.68854e-02  -1.14748e-02
-   4  sg_p3        1.35582e+02   3.03789e+01   6.57946e-02   1.08838e-02
-   5  sg_p4        9.28230e-01   7.23504e-03   2.06982e-03  -3.02724e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.469e-02 -7.947e-03 -3.583e-01 -1.715e+00 -8.078e-05 
- -7.947e-03  7.703e-02 -1.315e+00  2.634e+00  8.091e-04 
- -3.583e-01 -1.315e+00  3.708e+02  4.728e+01 -6.075e-02 
- -1.715e+00  2.634e+00  4.728e+01  1.145e+03  2.032e-03 
- -8.078e-05  8.091e-04 -6.075e-02  2.032e-03  5.236e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18853   1.000 -0.093 -0.060 -0.165 -0.036
-        2  0.50124  -0.093  1.000 -0.246  0.281  0.403
-        3  0.46006  -0.060 -0.246  1.000  0.073 -0.436
-        4  0.34759  -0.165  0.281  0.073  1.000  0.008
-        5  0.53639  -0.036  0.403 -0.436  0.008  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16081.3 FROM HESSE     STATUS=OK             31 CALLS         345 TOTAL
-                     EDM=9.10947e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.04220e+02   3.08377e-01   2.70474e-04   2.12615e-01
-   2  sg_p1        1.66795e+01   2.80568e-01   3.69788e-04  -1.58971e-01
-   3  sg_p2        4.62822e+02   1.90695e+01   6.75418e-04  -3.45556e-01
-   4  sg_p3        1.35582e+02   3.07077e+01   2.63178e-03   9.17410e-01
-   5  sg_p4        9.28230e-01   7.23811e-03   4.13965e-04   1.02837e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.510e-02 -8.877e-03 -3.212e-01 -1.872e+00 -9.078e-05 
- -8.877e-03  7.873e-02 -1.370e+00  3.011e+00  8.254e-04 
- -3.212e-01 -1.370e+00  3.693e+02  2.368e+01 -6.065e-02 
- -1.872e+00  3.011e+00  2.368e+01  1.177e+03  7.626e-03 
- -9.078e-05  8.254e-04 -6.065e-02  7.626e-03  5.240e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19932   1.000 -0.103 -0.054 -0.177 -0.041
-        2  0.51720  -0.103  1.000 -0.254  0.313  0.406
-        3  0.45661  -0.054 -0.254  1.000  0.036 -0.436
-        4  0.36806  -0.177  0.313  0.036  1.000  0.031
-        5  0.53695  -0.041  0.406 -0.436  0.031  1.000
-500
-504.22 +- 0.308377
-16.6795 +- 0.280568
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.23108e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.18946e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.42436e+02
-   4  sg_p3        4.43542e+01   1.40000e+01  -5.34286e-01   2.49400e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.66244e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             37 CALLS         242 TOTAL
-                     EDM=0.000693776    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02838e+02   2.97826e-01   1.28795e-03  -1.05531e-02
-   2  sg_p1        1.60782e+01   2.67978e-01   1.80577e-03   2.44112e-02
-   3  sg_p2        4.64332e+02   1.37627e+01   1.17387e-02   2.07821e-01
-   4  sg_p3        1.14468e+02   2.01486e+01   2.64964e-02   5.48597e-02
-   5  sg_p4        9.27839e-01   7.15691e-03   2.03796e-03   1.57814e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15889.1 FROM MIGRAD    STATUS=CONVERGED     254 CALLS         255 TOTAL
-                     EDM=9.17556e-06    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   2.8 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.02840e+02   2.97434e-01   8.32709e-05  -7.82024e-03
-   2  sg_p1        1.60782e+01   2.67892e-01  -2.85162e-06   4.43301e-03
-   3  sg_p2        4.63894e+02   1.38330e+01  -4.87307e-03  -3.70669e-03
-   4  sg_p3        1.14016e+02   1.92315e+01  -7.40995e-03  -1.25650e-02
-   5  sg_p4        9.27892e-01   7.16442e-03   2.06750e-04   1.26344e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.847e-02 -6.452e-03 -2.568e-01 -8.771e-01 -8.776e-05 
- -6.452e-03  7.178e-02 -9.238e-01  1.447e+00  8.030e-04 
- -2.568e-01 -9.238e-01  1.929e+02  9.107e+00 -4.221e-02 
- -8.771e-01  1.447e+00  9.107e+00  3.827e+02  1.223e-02 
- -8.776e-05  8.030e-04 -4.221e-02  1.223e-02  5.134e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17624   1.000 -0.081 -0.062 -0.151 -0.041
-        2  0.49356  -0.081  1.000 -0.248  0.276  0.418
-        3  0.44761  -0.062 -0.248  1.000  0.034 -0.424
-        4  0.31902  -0.151  0.276  0.034  1.000  0.087
-        5  0.53440  -0.041  0.418 -0.424  0.087  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15889.1 FROM HESSE     STATUS=OK             39 CALLS         294 TOTAL
-                     EDM=3.03558e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.02840e+02   2.97751e-01   5.15179e-04   1.42457e-01
-   2  sg_p1        1.60782e+01   2.68158e-01   7.22309e-04  -2.12184e-01
-   3  sg_p2        4.63894e+02   1.36806e+01   1.19116e-02  -3.33579e-01
-   4  sg_p3        1.14016e+02   1.97620e+01   2.70009e-02   5.07434e-01
-   5  sg_p4        9.27892e-01   7.16159e-03   2.03722e-03   1.02707e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.866e-02 -6.740e-03 -2.651e-01 -9.501e-01 -8.838e-05 
- -6.740e-03  7.192e-02 -8.846e-01  1.490e+00  8.010e-04 
- -2.651e-01 -8.846e-01  1.886e+02  2.011e+01 -4.167e-02 
- -9.501e-01  1.490e+00  2.011e+01  4.049e+02  1.100e-02 
- -8.838e-05  8.010e-04 -4.167e-02  1.100e-02  5.130e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18198   1.000 -0.084 -0.065 -0.159 -0.041
-        2  0.49512  -0.084  1.000 -0.240  0.276  0.417
-        3  0.45379  -0.065 -0.240  1.000  0.073 -0.424
-        4  0.33483  -0.159  0.276  0.073  1.000  0.076
-        5  0.53499  -0.041  0.417 -0.424  0.076  1.000
-500
-502.84 +- 0.297751
-16.0782 +- 0.268158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16477.8 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.86200e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.57301e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.88126e+02
-   4  sg_p3        4.29079e+01   1.40000e+01  -5.58468e-01   8.72628e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.83965e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             33 CALLS         278 TOTAL
-                     EDM=0.00228562    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03601e+02   3.08955e-01   1.34585e-03   3.00627e-01
-   2  sg_p1        1.67537e+01   2.75890e-01   1.84217e-03   1.71804e-01
-   3  sg_p2        4.49584e+02   2.10318e+01   1.89093e-02  -1.86124e-01
-   4  sg_p3        1.37208e+02   2.92076e+01   6.33389e-02  -7.21712e-02
-   5  sg_p4        9.31031e-01   7.12595e-03   2.05778e-03  -2.05034e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15837 FROM MIGRAD    STATUS=CONVERGED     290 CALLS         291 TOTAL
-                     EDM=9.94244e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   5.2 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03597e+02   3.10422e-01  -2.20880e-04   7.26010e-03
-   2  sg_p1        1.67527e+01   2.74763e-01  -8.54234e-05  -2.36066e-02
-   3  sg_p2        4.50350e+02   1.99263e+01   9.15141e-03   7.10266e-03
-   4  sg_p3        1.38778e+02   3.01976e+01   4.00555e-02  -1.66420e-02
-   5  sg_p4        9.30902e-01   7.07722e-03  -5.07201e-04  -3.19630e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.637e-02 -7.329e-03 -9.169e-02 -1.905e+00 -5.097e-05 
- -7.329e-03  7.551e-02 -1.688e+00  2.407e+00  7.425e-04 
- -9.169e-02 -1.688e+00  4.048e+02 -1.012e+02 -6.013e-02 
- -1.905e+00  2.407e+00 -1.012e+02  1.218e+03 -1.228e-02 
- -5.097e-05  7.425e-04 -6.013e-02 -1.228e-02  5.010e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19304   1.000 -0.086 -0.015 -0.176 -0.023
-        2  0.48229  -0.086  1.000 -0.305  0.251  0.382
-        3  0.47089  -0.015 -0.305  1.000 -0.144 -0.422
-        4  0.36202  -0.176  0.251 -0.144  1.000 -0.050
-        5  0.52945  -0.023  0.382 -0.422 -0.050  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15837 FROM HESSE     STATUS=OK             41 CALLS         332 TOTAL
-                     EDM=6.005e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03597e+02   3.09136e-01   1.34573e-03   1.80817e-01
-   2  sg_p1        1.67527e+01   2.75606e-01   1.84171e-03  -1.52530e-01
-   3  sg_p2        4.50350e+02   2.12182e+01   1.91941e-02  -4.89291e-01
-   4  sg_p3        1.38778e+02   3.03916e+01   7.62661e-02   9.96701e-01
-   5  sg_p4        9.30902e-01   7.12819e-03   2.05809e-03   1.03882e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.557e-02 -6.148e-03 -1.876e-01 -1.605e+00 -4.622e-05 
- -6.148e-03  7.597e-02 -1.916e+00  2.306e+00  7.753e-04 
- -1.876e-01 -1.916e+00  4.602e+02 -1.123e+02 -6.665e-02 
- -1.605e+00  2.306e+00 -1.123e+02  1.240e+03 -9.523e-03 
- -4.622e-05  7.753e-04 -6.665e-02 -9.523e-03  5.082e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17020   1.000 -0.072 -0.028 -0.147 -0.021
-        2  0.48615  -0.072  1.000 -0.324  0.238  0.395
-        3  0.48715  -0.028 -0.324  1.000 -0.149 -0.436
-        4  0.33778  -0.147  0.238 -0.149  1.000 -0.038
-        5  0.53739  -0.021  0.395 -0.436 -0.038  1.000
-500
-503.597 +- 0.309136
-16.7527 +- 0.275606
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16981.8 FROM MIGRAD    STATUS=INITIATE       47 CALLS          48 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.05566e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.79846e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -2.38683e+02
-   4  sg_p3        3.85734e+01   1.40000e+01  -6.33300e-01  -1.09954e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.06818e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             33 CALLS         261 TOTAL
-                     EDM=0.000884701    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03638e+02   2.96476e-01   1.30613e-03  -5.89524e-02
-   2  sg_p1        1.61908e+01   2.68536e-01   1.81793e-03  -9.06324e-02
-   3  sg_p2        4.64623e+02   1.46357e+01   1.25261e-02   2.17668e-01
-   4  sg_p3        1.18516e+02   2.19593e+01   3.03884e-02   5.10539e-02
-   5  sg_p4        9.27881e-01   7.13588e-03   2.04703e-03   7.03448e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16302.6 FROM MIGRAD    STATUS=CONVERGED     273 CALLS         274 TOTAL
-                     EDM=1.35619e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   3.1 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03639e+02   2.96022e-01   9.77721e-05  -9.91628e-03
-   2  sg_p1        1.61919e+01   2.69186e-01   9.95735e-05   3.66259e-03
-   3  sg_p2        4.64075e+02   1.47143e+01  -6.09837e-03  -4.10999e-03
-   4  sg_p3        1.17996e+02   2.09578e+01  -8.86611e-03  -1.33437e-02
-   5  sg_p4        9.27974e-01   7.15584e-03   3.61873e-04   3.29176e-06
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.764e-02 -6.654e-03 -2.734e-01 -9.694e-01 -8.441e-05 
- -6.654e-03  7.247e-02 -1.035e+00  1.644e+00  8.204e-04 
- -2.734e-01 -1.035e+00  2.185e+02  1.062e+01 -4.631e-02 
- -9.694e-01  1.644e+00  1.062e+01  4.592e+02  1.234e-02 
- -8.441e-05  8.204e-04 -4.631e-02  1.234e-02  5.122e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17873   1.000 -0.083 -0.062 -0.153 -0.040
-        2  0.50630  -0.083  1.000 -0.260  0.285  0.426
-        3  0.46142  -0.062 -0.260  1.000  0.034 -0.438
-        4  0.32893  -0.153  0.285  0.034  1.000  0.080
-        5  0.54522  -0.040  0.426 -0.438  0.080  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16302.6 FROM HESSE     STATUS=OK             41 CALLS         315 TOTAL
-                     EDM=4.81522e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03639e+02   2.96371e-01   1.30576e-03   1.82991e-01
-   2  sg_p1        1.61919e+01   2.68611e-01   1.81691e-03  -2.02075e-01
-   3  sg_p2        4.64075e+02   1.45352e+01   1.27410e-02  -3.31572e-01
-   4  sg_p3        1.17996e+02   2.14738e+01   3.10172e-02   5.73772e-01
-   5  sg_p4        9.27974e-01   7.13651e-03   2.04596e-03   1.02738e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.784e-02 -6.886e-03 -2.835e-01 -1.054e+00 -8.375e-05 
- -6.886e-03  7.217e-02 -9.670e-01  1.646e+00  8.068e-04 
- -2.835e-01 -9.670e-01  2.131e+02  2.545e+01 -4.521e-02 
- -1.054e+00  1.646e+00  2.545e+01  4.832e+02  9.584e-03 
- -8.375e-05  8.068e-04 -4.521e-02  9.584e-03  5.094e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18509   1.000 -0.086 -0.066 -0.162 -0.040
-        2  0.50306  -0.086  1.000 -0.247  0.279  0.421
-        3  0.46399  -0.066 -0.247  1.000  0.079 -0.434
-        4  0.34172  -0.162  0.279  0.079  1.000  0.061
-        5  0.54250  -0.040  0.421 -0.434  0.061  1.000
-500
-503.639 +- 0.296371
-16.1919 +- 0.268611
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15760.3 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -3.68945e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   4.51251e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.65516e+02
-   4  sg_p3        4.28306e+01   1.40000e+01  -5.59769e-01   7.96964e+01
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -6.63393e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             31 CALLS         270 TOTAL
-                     EDM=0.00917808    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03544e+02   3.11234e-01   1.32359e-03   3.99151e-02
-   2  sg_p1        1.64644e+01   2.78325e-01   1.82583e-03   8.26169e-02
-   3  sg_p2        4.53596e+02   1.89196e+01   1.66163e-02  -4.74680e-01
-   4  sg_p3        1.30948e+02   2.69531e+01   4.74560e-02  -1.69826e-01
-   5  sg_p4        9.28806e-01   7.28371e-03   2.04213e-03  -7.21183e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=15131 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=1.59446e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   8.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03538e+02   3.12525e-01  -4.41178e-05  -1.54585e-02
-   2  sg_p1        1.64635e+01   2.80799e-01   1.36626e-04   1.03835e-02
-   3  sg_p2        4.55327e+02   1.85938e+01  -2.83276e-04   1.31641e-03
-   4  sg_p3        1.33880e+02   3.06660e+01   1.19135e-02  -8.53961e-03
-   5  sg_p4        9.28489e-01   7.24733e-03   2.34109e-05  -1.19312e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.768e-02 -8.237e-03 -1.269e-01 -1.811e+00 -7.804e-05 
- -8.237e-03  7.886e-02 -1.583e+00  2.810e+00  7.851e-04 
- -1.269e-01 -1.583e+00  3.512e+02 -7.894e+01 -5.706e-02 
- -1.811e+00  2.810e+00 -7.894e+01  1.142e+03  2.159e-04 
- -7.804e-05  7.851e-04 -5.706e-02  2.159e-04  5.254e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.19100   1.000 -0.094 -0.022 -0.171 -0.034
-        2  0.50054  -0.094  1.000 -0.301  0.296  0.386
-        3  0.45764  -0.022 -0.301  1.000 -0.125 -0.420
-        4  0.36350  -0.171  0.296 -0.125  1.000  0.001
-        5  0.51853  -0.034  0.386 -0.420  0.001  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15131 FROM HESSE     STATUS=OK             39 CALLS         332 TOTAL
-                     EDM=8.18863e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03538e+02   3.11671e-01   1.32357e-03   1.77834e-01
-   2  sg_p1        1.64635e+01   2.78053e-01   1.82591e-03  -1.78022e-01
-   3  sg_p2        4.55327e+02   1.93050e+01   1.69364e-02  -4.30811e-01
-   4  sg_p3        1.33880e+02   2.97612e+01   5.65680e-02   8.78399e-01
-   5  sg_p4        9.28489e-01   7.28924e-03   2.04602e-03   1.02938e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.715e-02 -7.165e-03 -2.210e-01 -1.574e+00 -6.699e-05 
- -7.165e-03  7.733e-02 -1.562e+00  2.322e+00  7.859e-04 
- -2.210e-01 -1.562e+00  3.791e+02 -4.296e+01 -6.069e-02 
- -1.574e+00  2.322e+00 -4.296e+01  1.061e+03 -4.723e-03 
- -6.699e-05  7.859e-04 -6.069e-02 -4.723e-03  5.315e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17762   1.000 -0.083 -0.036 -0.155 -0.029
-        2  0.48429  -0.083  1.000 -0.289  0.256  0.388
-        3  0.45436  -0.036 -0.289  1.000 -0.068 -0.428
-        4  0.32111  -0.155  0.256 -0.068  1.000 -0.020
-        5  0.52435  -0.029  0.388 -0.428 -0.020  1.000
-500
-503.538 +- 0.311671
-16.4635 +- 0.278053
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17965.7 FROM MIGRAD    STATUS=INITIATE       46 CALLS          47 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.00000e+02   4.00000e+00   0.00000e+00  -4.19180e+02
-   2  sg_p1        1.85000e+01   2.30000e+00   0.00000e+00   5.07558e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   0.00000e+00  -1.66310e+02
-   4  sg_p3        4.20660e+01   1.40000e+01  -5.72713e-01  -5.27926e+00
-   5  sg_p4        5.00000e-01   1.00000e-01   0.00000e+00  -7.26010e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             31 CALLS         273 TOTAL
-                     EDM=0.0158866    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03553e+02   2.92162e-01   1.32752e-03   1.92047e-01
-   2  sg_p1        1.64746e+01   2.61492e-01   1.83264e-03   9.93853e-02
-   3  sg_p2        4.51603e+02   1.81044e+01   1.70017e-02  -6.77062e-01
-   4  sg_p3        1.32529e+02   2.52771e+01   4.84704e-02  -2.30017e-01
-   5  sg_p4        9.26851e-01   6.88981e-03   2.03844e-03  -1.42588e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=17247.2 FROM MIGRAD    STATUS=CONVERGED     294 CALLS         295 TOTAL
-                     EDM=4.77096e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   9.6 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.03545e+02   2.93438e-01  -5.87528e-05  -3.40309e-02
-   2  sg_p1        1.64727e+01   2.63670e-01   1.74859e-04   2.14591e-02
-   3  sg_p2        4.53798e+02   1.77853e+01  -4.09286e-04   3.31652e-04
-   4  sg_p3        1.35998e+02   2.90570e+01   1.70332e-02  -1.52432e-02
-   5  sg_p4        9.26443e-01   6.85608e-03   1.63285e-05  -2.74842e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.611e-02 -7.218e-03 -7.462e-02 -1.599e+00 -6.663e-05 
- -7.218e-03  6.953e-02 -1.469e+00  2.461e+00  6.909e-04 
- -7.462e-02 -1.469e+00  3.210e+02 -8.810e+01 -5.081e-02 
- -1.599e+00  2.461e+00 -8.810e+01  1.030e+03 -2.764e-03 
- -6.663e-05  6.909e-04 -5.081e-02 -2.764e-03  4.702e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.18896   1.000 -0.093 -0.014 -0.170 -0.033
-        2  0.49890  -0.093  1.000 -0.311  0.291  0.382
-        3  0.46311  -0.014 -0.311  1.000 -0.153 -0.414
-        4  0.37220  -0.170  0.291 -0.153  1.000 -0.013
-        5  0.51605  -0.033  0.382 -0.414 -0.013  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17247.2 FROM HESSE     STATUS=OK             37 CALLS         332 TOTAL
-                     EDM=2.5481e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.03545e+02   2.92634e-01   1.32733e-03   1.78200e-01
-   2  sg_p1        1.64727e+01   2.61019e-01   1.83240e-03  -1.77216e-01
-   3  sg_p2        4.53798e+02   1.84402e+01   1.73428e-02  -4.48601e-01
-   4  sg_p3        1.35998e+02   2.83987e+01   6.04366e-02   9.27242e-01
-   5  sg_p4        9.26443e-01   6.89823e-03   2.04324e-03   1.02149e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  8.564e-02 -6.233e-03 -1.752e-01 -1.395e+00 -5.632e-05 
- -6.233e-03  6.814e-02 -1.435e+00  2.042e+00  6.927e-04 
- -1.752e-01 -1.435e+00  3.454e+02 -5.423e+01 -5.416e-02 
- -1.395e+00  2.042e+00 -5.423e+01  9.726e+02 -6.753e-03 
- -5.632e-05  6.927e-04 -5.416e-02 -6.753e-03  4.760e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.17564   1.000 -0.082 -0.032 -0.153 -0.028
-        2  0.48195  -0.082  1.000 -0.296  0.251  0.385
-        3  0.45633  -0.032 -0.296  1.000 -0.094 -0.422
-        4  0.32602  -0.153  0.251 -0.094  1.000 -0.031
-        5  0.52240  -0.028  0.385 -0.422 -0.031  1.000
-500
-503.545 +- 0.292634
-16.4727 +- 0.261019
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 37 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 57 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 59 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 110 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 503.541 +- 0.301948 (stat) - 0.701904 + 0.678912 (syst); -0.717957/+0.695495 (total)
-   Uncertainty on sg_p1 = 16.4684 +- 0.269373 (stat) - 0.390296 + 0.284252 (syst); -0.412882/+0.314547 (total)
-   Uncertainty on sg_p2 = 454.55 +- 18.8889 (stat) - 4.20037 + 9.52429 (syst); -10.3364/+13.4131 (total)
-   Uncertainty on sg_p3 = 135.056 +- 29.1667 (stat) - 21.0404 + 3.7219 (syst); -25.6003/+15.0508 (total)
-   Uncertainty on sg_p4 = 0.927449 +- 0.00708973 (stat) - 0.00100662 + 0.0034528 (syst); -0.00368502/+0.00494853 (total) 
-   === Baseline plot === </br>
-   norm = 1319.62
-JEC     lnN   1.00347  -
-JER     lnN   1.01686  -
-btag    lnN   1.06496  -
-sg_p0   param   503.541 -0.717957/+0.695495
-sg_p1   param   16.4684 -0.412882/+0.314547
-sg_p2   param   454.55  -10.3364/+13.4131
-sg_p3   param   135.056  -25.6003/+15.0508
-sg_p4   param   0.927449  -0.00368502/+0.00494853 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out
deleted file mode 100644
index adfc233..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.080
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 2.07372e-05  -2.07372e-05/+2.78096  (68% CL)
-nll S+B -> -0.00503555  nll B -> -0.00503627
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out
deleted file mode 100644
index e61fe47..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,6 +0,0 @@
-At r = 0.053650:	q_mu = 3.82387	q_A  = 3.82850	CLsb = 0.02526	CLb  = 0.50047	CLs  = 0.05048
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0536
-
-Done in 0.07 min (cpu), 0.07 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt
deleted file mode 100644
index 0bc45dd..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/datacard_550_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1470.79 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06585    -
-JER       lnN     1.01675   - 
-JEC       lnN     1.0002   -
-trigger   lnN     1.10    -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/signal550_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/signal550_sig.log
deleted file mode 100644
index 31e7a79..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_crystal_1_285_624/signal550_sig.log
+++ /dev/null
@@ -1,872 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20474.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   5.07174e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.94014e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.02149e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   3.92576e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -5.54746e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=2.38221e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.31487e+02   5.32162e-01   1.51230e-03   1.42028e-02
-   2  sg_p1        2.98204e+01   4.47933e-01   2.42219e-03   7.73048e-03
-   3  sg_p2        4.57724e+02   1.56211e+01   1.09347e-02  -8.53008e-03
-   4  sg_p3        8.95652e+01   1.08014e+01   3.54792e-02   1.21216e-02
-   5  sg_p4        9.54096e-01   8.70766e-03   2.37118e-03  -9.01545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.832e-01 -4.050e-02  7.504e-01 -1.728e+00 -9.374e-04 
- -4.050e-02  2.007e-01 -3.095e+00  6.692e-01  2.076e-03 
-  7.504e-01 -3.095e+00  2.467e+02 -1.356e+01 -1.062e-01 
- -1.728e+00  6.692e-01 -1.356e+01  1.226e+02  1.630e-02 
- -9.374e-04  2.076e-03 -1.062e-01  1.630e-02  7.587e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.34824   1.000 -0.170  0.090 -0.293 -0.202
-        2  0.53901  -0.170  1.000 -0.440  0.135  0.532
-        3  0.78111   0.090 -0.440  1.000 -0.078 -0.776
-        4  0.32107  -0.293  0.135 -0.078  1.000  0.169
-        5  0.81348  -0.202  0.532 -0.776  0.169  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM HESSE     STATUS=OK             31 CALLS         325 TOTAL
-                     EDM=2.38806e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.31487e+02   5.34249e-01   6.04920e-05  -3.96390e-01
-   2  sg_p1        2.98204e+01   4.49790e-01   9.68875e-05   3.93104e-01
-   3  sg_p2        4.57724e+02   1.57210e+01   4.37390e-04  -4.03212e-01
-   4  sg_p3        8.95652e+01   1.08586e+01   1.41917e-03   8.75892e-01
-   5  sg_p4        9.54096e-01   8.77545e-03   4.74236e-04   1.13895e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.854e-01 -4.220e-02  8.178e-01 -1.810e+00 -9.783e-04 
- -4.220e-02  2.024e-01 -3.172e+00  7.162e-01  2.121e-03 
-  8.178e-01 -3.172e+00  2.499e+02 -1.585e+01 -1.082e-01 
- -1.810e+00  7.162e-01 -1.585e+01  1.240e+02  1.767e-02 
- -9.783e-04  2.121e-03 -1.082e-01  1.767e-02  7.705e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.35795   1.000 -0.176  0.097 -0.304 -0.209
-        2  0.54441  -0.176  1.000 -0.446  0.143  0.537
-        3  0.78430   0.097 -0.446  1.000 -0.090 -0.780
-        4  0.33330  -0.304  0.143 -0.090  1.000  0.181
-        5  0.81668  -0.209  0.537 -0.780  0.181  1.000
-550
-531.487 +- 0.534249
-29.8204 +- 0.44979
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20306.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   3.00053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.48703e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.55356e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   2.98032e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -6.39572e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=4.51479e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.33845e+02   5.50540e-01   1.48402e-03   3.91502e-02
-   2  sg_p1        2.97723e+01   4.71570e-01   2.44878e-03   2.61411e-02
-   3  sg_p2        4.60591e+02   1.38428e+01   8.85082e-03  -6.68765e-03
-   4  sg_p3        8.05212e+01   8.20745e+00   2.03850e-02   9.33536e-03
-   5  sg_p4        9.47592e-01   1.00547e-02   2.37122e-03  -3.27058e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.031e-01 -5.910e-02  9.827e-01 -1.368e+00 -1.430e-03 
- -5.910e-02  2.224e-01 -3.125e+00  3.654e-01  2.724e-03 
-  9.827e-01 -3.125e+00  1.932e+02  9.312e+00 -1.123e-01 
- -1.368e+00  3.654e-01  9.312e+00  6.849e+01  4.927e-03 
- -1.430e-03  2.724e-03 -1.123e-01  4.927e-03  1.012e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.39978   1.000 -0.228  0.128 -0.300 -0.258
-        2  0.58300  -0.228  1.000 -0.477  0.094  0.574
-        3  0.81557   0.128 -0.477  1.000  0.081 -0.803
-        4  0.35284  -0.300  0.094  0.081  1.000  0.059
-        5  0.84274  -0.258  0.574 -0.803  0.059  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM HESSE     STATUS=OK             31 CALLS         324 TOTAL
-                     EDM=4.5264e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.33845e+02   5.51808e-01   2.96804e-04  -3.24384e-01
-   2  sg_p1        2.97723e+01   4.73610e-01   9.79512e-05   3.89948e-01
-   3  sg_p2        4.60591e+02   1.39421e+01   3.54033e-04  -3.70629e-01
-   4  sg_p3        8.05212e+01   8.22375e+00   8.15398e-04   6.03025e-01
-   5  sg_p4        9.47592e-01   1.01305e-02   4.74244e-04   1.10884e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.045e-01 -6.047e-02  1.021e+00 -1.394e+00 -1.460e-03 
- -6.047e-02  2.244e-01 -3.200e+00  3.711e-01  2.779e-03 
-  1.021e+00 -3.200e+00  1.960e+02  9.327e+00 -1.144e-01 
- -1.394e+00  3.711e-01  9.327e+00  6.877e+01  5.012e-03 
- -1.460e-03  2.779e-03 -1.144e-01  5.012e-03  1.027e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.40458   1.000 -0.231  0.132 -0.305 -0.261
-        2  0.58785  -0.231  1.000 -0.483  0.094  0.579
-        3  0.81850   0.132 -0.483  1.000  0.080 -0.806
-        4  0.35705  -0.305  0.094  0.080  1.000  0.060
-        5  0.84530  -0.261  0.579 -0.806  0.060  1.000
-550
-533.845 +- 0.551808
-29.7723 +- 0.47361
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20361.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   7.00402e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   2.42051e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -8.13221e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   4.85542e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -4.37084e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.70671 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             37 CALLS         258 TOTAL
-                     EDM=0.0234896    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29061e+02   5.14520e-01   1.55758e-03   2.24394e-02
-   2  sg_p1        2.98860e+01   4.23991e-01   2.39855e-03  -1.26397e-01
-   3  sg_p2        4.50244e+02   1.76938e+01   1.40698e-02  -3.32037e-01
-   4  sg_p3        9.92707e+01   5.23923e+01   1.16245e-01  -1.87665e-01
-   5  sg_p4        9.58893e-01   7.41282e-03   2.32468e-03  -2.84571e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.50844e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29115e+02   5.27512e-01   1.55654e-03   5.63178e-02
-   2  sg_p1        2.98537e+01   4.31194e-01   2.39683e-03  -4.86594e-03
-   3  sg_p2        4.52810e+02   1.71881e+01   1.26957e-02  -2.51152e-02
-   4  sg_p3        9.42149e+01   1.22791e+01   5.42279e-02  -7.82994e-03
-   5  sg_p4        9.57905e-01   7.92585e-03   2.33854e-03  -5.94545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.783e-01 -2.926e-02  6.244e-01  2.021e+00 -6.669e-04 
- -2.926e-02  1.860e-01 -3.058e+00 -6.317e-01  1.675e-03 
-  6.244e-01 -3.058e+00  2.995e+02  2.884e+01 -1.049e-01 
-  2.021e+00 -6.317e-01  2.884e+01  1.696e+02 -1.694e-02 
- -6.669e-04  1.675e-03 -1.049e-01 -1.694e-02  6.285e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33042   1.000 -0.129  0.068  0.294 -0.159
-        2  0.49650  -0.129  1.000 -0.410 -0.112  0.490
-        3  0.76815   0.068 -0.410  1.000  0.128 -0.765
-        4  0.31895   0.294 -0.112  0.128  1.000 -0.164
-        5  0.79426  -0.159  0.490 -0.765 -0.164  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             31 CALLS         385 TOTAL
-                     EDM=3.65774e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.29115e+02   5.25382e-01   3.11308e-04  -4.71083e-01
-   2  sg_p1        2.98537e+01   4.32758e-01   9.58731e-05   3.95290e-01
-   3  sg_p2        4.52810e+02   1.73342e+01   5.07828e-04  -4.60177e-01
-   4  sg_p3        9.42149e+01   1.23119e+01   2.16911e-03   2.08346e+00
-   5  sg_p4        9.57905e-01   7.98860e-03   4.67708e-04   1.15752e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.761e-01 -3.020e-02  7.182e-01  1.927e+00 -6.928e-04 
- -3.020e-02  1.873e-01 -3.149e+00 -7.080e-01  1.713e-03 
-  7.182e-01 -3.149e+00  3.047e+02  3.675e+01 -1.073e-01 
-  1.927e+00 -7.080e-01  3.675e+01  1.706e+02 -1.945e-02 
- -6.928e-04  1.713e-03 -1.073e-01 -1.945e-02  6.385e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31928   1.000 -0.133  0.078  0.281 -0.165
-        2  0.50194  -0.133  1.000 -0.417 -0.125  0.495
-        3  0.77268   0.078 -0.417  1.000  0.161 -0.769
-        4  0.31887   0.281 -0.125  0.161  1.000 -0.186
-        5  0.79789  -0.165  0.495 -0.769 -0.186  1.000
-550
-529.115 +- 0.525382
-29.8537 +- 0.432758
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19951.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.82283e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.71398e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.74238e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.44109e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77604e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM MIGRAD    STATUS=CONVERGED     211 CALLS         212 TOTAL
-                     EDM=2.97149e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54818e+02   3.19097e-01   8.63536e-04  -3.36904e-01
-   2  sg_p1        1.76653e+01   2.93110e-01   1.48879e-03   2.40235e-04
-   3  sg_p2        5.24916e+02   6.40830e+00   5.54557e-03  -1.03056e-02
-   4  sg_p3        7.57816e+01   6.01449e+00   1.24041e-02  -3.47693e-02
-   5  sg_p4        9.15383e-01   8.76094e-03   2.18461e-03   2.17805e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.018e-01 -7.952e-03  2.184e-01 -3.767e-01 -2.239e-04 
- -7.952e-03  8.592e-02  5.369e-01  4.736e-01  1.353e-03 
-  2.184e-01  5.369e-01  4.114e+01 -3.542e+00  2.620e-02 
- -3.767e-01  4.736e-01 -3.542e+00  3.645e+01  1.672e-02 
- -2.239e-04  1.353e-03  2.620e-02  1.672e-02  7.678e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23180   1.000 -0.085  0.107 -0.196 -0.080
-        2  0.54417  -0.085  1.000  0.286  0.268  0.527
-        3  0.54552   0.107  0.286  1.000 -0.091  0.466
-        4  0.45297  -0.196  0.268 -0.091  1.000  0.316
-        5  0.66946  -0.080  0.527  0.466  0.316  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM HESSE     STATUS=OK             31 CALLS         243 TOTAL
-                     EDM=2.96981e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54818e+02   3.19404e-01   1.72707e-04   2.84322e-01
-   2  sg_p1        1.76653e+01   2.93042e-01   5.95515e-05  -3.61434e-01
-   3  sg_p2        5.24916e+02   6.41299e+00   1.10911e-03   2.82124e+00
-   4  sg_p3        7.57816e+01   6.04287e+00   4.96162e-04   4.80037e-01
-   5  sg_p4        9.15383e-01   8.75334e-03   8.73843e-05   9.80484e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.020e-01 -8.145e-03  2.258e-01 -3.874e-01 -2.275e-04 
- -8.145e-03  8.588e-02  5.267e-01  4.756e-01  1.350e-03 
-  2.258e-01  5.267e-01  4.120e+01 -4.152e+00  2.584e-02 
- -3.874e-01  4.756e-01 -4.152e+00  3.680e+01  1.675e-02 
- -2.275e-04  1.350e-03  2.584e-02  1.675e-02  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23569   1.000 -0.087  0.110 -0.200 -0.081
-        2  0.54387  -0.087  1.000  0.280  0.268  0.526
-        3  0.54648   0.110  0.280  1.000 -0.107  0.460
-        4  0.46089  -0.200  0.268 -0.107  1.000  0.315
-        5  0.66874  -0.081  0.526  0.460  0.315  1.000
-550
-554.818 +- 0.319404
-17.6653 +- 0.293042
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19898.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.95168e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   4.81948e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.76540e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.98194e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.74417e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM MIGRAD    STATUS=CONVERGED     196 CALLS         197 TOTAL
-                     EDM=1.01176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55808e+02   3.25659e-01   8.83901e-04  -1.63522e-01
-   2  sg_p1        1.77469e+01   3.01241e-01   1.51845e-03  -1.82594e-02
-   3  sg_p2        5.26122e+02   6.31840e+00   5.51012e-03  -4.30688e-02
-   4  sg_p3        7.70352e+01   6.10785e+00   1.27318e-02  -4.97405e-03
-   5  sg_p4        9.08807e-01   9.02494e-03   2.18610e-03  -1.94192e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.061e-01 -1.054e-02 -2.294e-01 -4.229e-01 -2.862e-04 
- -1.054e-02  9.076e-02 -4.904e-01  5.133e-01  1.441e-03 
- -2.294e-01 -4.904e-01  3.999e+01  5.524e+00 -2.505e-02 
- -4.229e-01  5.133e-01  5.524e+00  3.761e+01  1.706e-02 
- -2.862e-04  1.441e-03 -2.505e-02  1.706e-02  8.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24854   1.000 -0.107 -0.111 -0.212 -0.097
-        2  0.54949  -0.107  1.000 -0.257  0.278  0.530
-        3  0.54187  -0.111 -0.257  1.000  0.142 -0.439
-        4  0.47566  -0.212  0.278  0.142  1.000  0.308
-        5  0.66453  -0.097  0.530 -0.439  0.308  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM HESSE     STATUS=OK             31 CALLS         228 TOTAL
-                     EDM=1.00847e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.55808e+02   3.25832e-01   1.76780e-04   3.13943e-01
-   2  sg_p1        1.77469e+01   3.02069e-01   6.07379e-05  -3.56157e-01
-   3  sg_p2        5.26122e+02   6.32494e+00   1.10202e-03   6.61694e+00
-   4  sg_p3        7.70352e+01   6.12320e+00   5.09272e-04   5.11714e-01
-   5  sg_p4        9.08807e-01   9.06729e-03   8.74438e-05   9.57256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.062e-01 -1.081e-02 -2.268e-01 -4.286e-01 -2.938e-04 
- -1.081e-02  9.126e-02 -4.992e-01  5.258e-01  1.460e-03 
- -2.268e-01 -4.992e-01  4.007e+01  5.270e+00 -2.536e-02 
- -4.286e-01  5.258e-01  5.270e+00  3.780e+01  1.761e-02 
- -2.938e-04  1.460e-03 -2.536e-02  1.761e-02  8.224e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25053   1.000 -0.110 -0.110 -0.214 -0.099
-        2  0.55296  -0.110  1.000 -0.261  0.283  0.533
-        3  0.54324  -0.110 -0.261  1.000  0.135 -0.442
-        4  0.47947  -0.214  0.283  0.135  1.000  0.316
-        5  0.66843  -0.099  0.533 -0.442  0.316  1.000
-550
-555.808 +- 0.325832
-17.7469 +- 0.302069
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19728.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.67505e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.63661e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.67995e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.03919e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77879e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM MIGRAD    STATUS=CONVERGED     209 CALLS         210 TOTAL
-                     EDM=1.24678e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.53868e+02   3.10680e-01   8.32651e-04  -2.62603e-02
-   2  sg_p1        1.72866e+01   2.81268e-01   1.45728e-03   8.07767e-02
-   3  sg_p2        5.24887e+02   6.75798e+00   5.96660e-03  -3.92394e-02
-   4  sg_p3        7.92365e+01   6.79795e+00   1.48996e-02   6.90285e-03
-   5  sg_p4        9.17534e-01   8.29708e-03   2.15408e-03  -1.06137e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.652e-02 -6.967e-03  2.218e-01 -3.867e-01 -1.900e-04 
- -6.967e-03  7.912e-02  4.748e-01  5.229e-01  1.170e-03 
-  2.218e-01  4.748e-01  4.576e+01 -5.306e+00  2.407e-02 
- -3.867e-01  5.229e-01 -5.306e+00  4.672e+01  1.731e-02 
- -1.900e-04  1.170e-03  2.407e-02  1.731e-02  6.886e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21574   1.000 -0.080  0.106 -0.182 -0.074
-        2  0.52328  -0.080  1.000  0.250  0.272  0.501
-        3  0.51581   0.106  0.250  1.000 -0.115  0.429
-        4  0.44943  -0.182  0.272 -0.115  1.000  0.305
-        5  0.64010  -0.074  0.501  0.429  0.305  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM HESSE     STATUS=OK             31 CALLS         241 TOTAL
-                     EDM=1.27405e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.53868e+02   3.10987e-01   1.66530e-04   2.56169e-01
-   2  sg_p1        1.72866e+01   2.81269e-01   2.91456e-04  -3.86094e-01
-   3  sg_p2        5.24887e+02   6.76745e+00   1.19332e-03   2.82155e+00
-   4  sg_p3        7.92365e+01   6.83832e+00   5.95982e-04   5.68761e-01
-   5  sg_p4        9.17534e-01   8.29250e-03   8.61633e-05   9.88256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.672e-02 -7.180e-03  2.301e-01 -3.999e-01 -1.942e-04 
- -7.180e-03  7.912e-02  4.628e-01  5.278e-01  1.169e-03 
-  2.301e-01  4.628e-01  4.588e+01 -6.142e+00  2.369e-02 
- -3.999e-01  5.278e-01 -6.142e+00  4.728e+01  1.742e-02 
- -1.942e-04  1.169e-03  2.369e-02  1.742e-02  6.879e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22006   1.000 -0.082  0.109 -0.187 -0.075
-        2  0.52328  -0.082  1.000  0.243  0.273  0.501
-        3  0.51782   0.109  0.243  1.000 -0.132  0.422
-        4  0.45946  -0.187  0.273 -0.132  1.000  0.305
-        5  0.63959  -0.075  0.501  0.422  0.305  1.000
-550
-553.868 +- 0.310987
-17.2866 +- 0.281269
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19523.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.78246e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.48227e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.72744e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.53463e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.73440e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=1.1296e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54743e+02   3.23108e-01   8.67838e-04   1.02910e-02
-   2  sg_p1        1.78036e+01   2.93560e-01   1.48809e-03   3.64244e-02
-   3  sg_p2        5.29749e+02   7.02376e+00   6.17425e-03   3.49463e-03
-   4  sg_p3        8.01422e+01   7.11749e+00   1.53333e-02   4.67692e-03
-   5  sg_p4        9.16151e-01   8.68122e-03   2.20244e-03  -2.64886e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.044e-01 -5.800e-03  3.107e-01 -4.077e-01 -1.462e-04 
- -5.800e-03  8.619e-02  4.716e-01  5.708e-01  1.298e-03 
-  3.107e-01  4.716e-01  4.944e+01 -9.571e+00  2.482e-02 
- -4.077e-01  5.708e-01 -9.571e+00  5.129e+01  1.933e-02 
- -1.462e-04  1.298e-03  2.482e-02  1.933e-02  7.539e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21481   1.000 -0.061  0.137 -0.176 -0.052
-        2  0.52839  -0.061  1.000  0.228  0.271  0.509
-        3  0.54059   0.137  0.228  1.000 -0.190  0.407
-        4  0.49556  -0.176  0.271 -0.190  1.000  0.311
-        5  0.64950  -0.052  0.509  0.407  0.311  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM HESSE     STATUS=OK             31 CALLS         252 TOTAL
-                     EDM=1.13732e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54743e+02   3.23491e-01   3.47135e-05   2.82090e-01
-   2  sg_p1        1.78036e+01   2.93564e-01   5.95236e-05  -3.52489e-01
-   3  sg_p2        5.29749e+02   7.04856e+00   2.46970e-04   2.76712e+00
-   4  sg_p3        8.01422e+01   7.18360e+00   6.13332e-04   5.92835e-01
-   5  sg_p4        9.16151e-01   8.67262e-03   4.40487e-04   9.83249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.046e-01 -6.090e-03  3.230e-01 -4.265e-01 -1.522e-04 
- -6.090e-03  8.619e-02  4.539e-01  5.786e-01  1.296e-03 
-  3.230e-01  4.539e-01  4.979e+01 -1.084e+01  2.423e-02 
- -4.265e-01  5.786e-01 -1.084e+01  5.225e+01  1.948e-02 
- -1.522e-04  1.296e-03  2.423e-02  1.948e-02  7.524e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22000   1.000 -0.064  0.142 -0.182 -0.054
-        2  0.52841  -0.064  1.000  0.219  0.273  0.509
-        3  0.54519   0.142  0.219  1.000 -0.213  0.396
-        4  0.50912  -0.182  0.273 -0.213  1.000  0.311
-        5  0.64862  -0.054  0.509  0.396  0.311  1.000
-550
-554.743 +- 0.323491
-17.8036 +- 0.293564
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20158.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.85494e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.04709e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.75210e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.33590e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.81352e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=7.37276e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54870e+02   3.11615e-01   8.46985e-04  -5.92156e-02
-   2  sg_p1        1.73495e+01   2.85260e-01   1.47111e-03   7.67177e-02
-   3  sg_p2        5.24331e+02   6.05754e+00   5.28257e-03   4.53885e-03
-   4  sg_p3        7.34136e+01   5.53118e+00   1.12466e-02  -1.10576e-02
-   5  sg_p4        9.15605e-01   8.65240e-03   2.17248e-03  -7.85532e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.711e-02 -7.947e-03  1.826e-01 -3.420e-01 -2.412e-04 
- -7.947e-03  8.138e-02  5.038e-01  4.162e-01  1.294e-03 
-  1.826e-01  5.038e-01  3.675e+01 -2.414e+00  2.461e-02 
- -3.420e-01  4.162e-01 -2.414e+00  3.078e+01  1.542e-02 
- -2.412e-04  1.294e-03  2.461e-02  1.542e-02  7.489e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23325   1.000 -0.089  0.097 -0.198 -0.089
-        2  0.54079  -0.089  1.000  0.291  0.263  0.524
-        3  0.54052   0.097  0.291  1.000 -0.072  0.469
-        4  0.44504  -0.198  0.263 -0.072  1.000  0.321
-        5  0.66858  -0.089  0.524  0.469  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM HESSE     STATUS=OK             31 CALLS         233 TOTAL
-                     EDM=7.38816e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54870e+02   3.11900e-01   1.69397e-04   2.85889e-01
-   2  sg_p1        1.73495e+01   2.85061e-01   2.94222e-04  -3.81980e-01
-   3  sg_p2        5.24331e+02   6.05810e+00   2.11303e-04   2.82772e+00
-   4  sg_p3        7.34136e+01   5.55334e+00   4.49864e-04   4.21567e-01
-   5  sg_p4        9.15605e-01   8.63836e-03   4.34496e-04   9.81281e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.728e-02 -8.106e-03  1.896e-01 -3.508e-01 -2.439e-04 
- -8.106e-03  8.127e-02  4.931e-01  4.161e-01  1.289e-03 
-  1.896e-01  4.931e-01  3.676e+01 -2.963e+00  2.422e-02 
- -3.508e-01  4.161e-01 -2.963e+00  3.103e+01  1.537e-02 
- -2.439e-04  1.289e-03  2.422e-02  1.537e-02  7.465e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23692   1.000 -0.091  0.100 -0.202 -0.091
-        2  0.53988  -0.091  1.000  0.285  0.262  0.523
-        3  0.54066   0.100  0.285  1.000 -0.088  0.462
-        4  0.45196  -0.202  0.262 -0.088  1.000  0.319
-        5  0.66723  -0.091  0.523  0.462  0.319  1.000
-550
-554.87 +- 0.3119
-17.3495 +- 0.285061
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18671.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.70584e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.36049e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.63312e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.13435e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.66463e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM MIGRAD    STATUS=CONVERGED     203 CALLS         204 TOTAL
-                     EDM=1.02695e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54811e+02   3.29767e-01   8.63223e-04  -1.93001e-01
-   2  sg_p1        1.76648e+01   3.03153e-01   1.48879e-03   3.74125e-02
-   3  sg_p2        5.25130e+02   6.59118e+00   5.51974e-03  -1.87163e-03
-   4  sg_p3        7.53402e+01   6.16780e+00   1.22242e-02  -1.30639e-02
-   5  sg_p4        9.15918e-01   9.07192e-03   2.19004e-03  -5.75224e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.088e-01 -8.558e-03  2.332e-01 -4.008e-01 -2.433e-04 
- -8.558e-03  9.191e-02  5.712e-01  5.058e-01  1.454e-03 
-  2.332e-01  5.712e-01  4.352e+01 -3.716e+00  2.786e-02 
- -4.008e-01  5.058e-01 -3.716e+00  3.834e+01  1.804e-02 
- -2.433e-04  1.454e-03  2.786e-02  1.804e-02  8.233e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23278   1.000 -0.086  0.107 -0.196 -0.081
-        2  0.54570  -0.086  1.000  0.286  0.269  0.529
-        3  0.54594   0.107  0.286  1.000 -0.091  0.465
-        4  0.45689  -0.196  0.269 -0.091  1.000  0.321
-        5  0.67171  -0.081  0.529  0.465  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM HESSE     STATUS=OK             31 CALLS         235 TOTAL
-                     EDM=1.02452e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54811e+02   3.30104e-01   1.72645e-04   2.84116e-01
-   2  sg_p1        1.76648e+01   3.03000e-01   5.95517e-05  -3.61468e-01
-   3  sg_p2        5.25130e+02   6.59509e+00   2.20790e-04   2.81886e+00
-   4  sg_p3        7.53402e+01   6.19835e+00   4.88968e-04   4.69011e-01
-   5  sg_p4        9.15918e-01   9.05834e-03   4.38009e-04   9.82408e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e-01 -8.764e-03  2.421e-01 -4.127e-01 -2.470e-04 
- -8.764e-03  9.182e-02  5.581e-01  5.069e-01  1.449e-03 
-  2.421e-01  5.581e-01  4.357e+01 -4.454e+00  2.739e-02 
- -4.127e-01  5.069e-01 -4.454e+00  3.873e+01  1.802e-02 
- -2.470e-04  1.449e-03  2.739e-02  1.802e-02  8.208e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23689   1.000 -0.088  0.111 -0.201 -0.083
-        2  0.54504  -0.088  1.000  0.279  0.269  0.528
-        3  0.54671   0.111  0.279  1.000 -0.108  0.458
-        4  0.46512  -0.201  0.269 -0.108  1.000  0.320
-        5  0.67048  -0.083  0.528  0.458  0.320  1.000
-550
-554.811 +- 0.330104
-17.6648 +- 0.303
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21296.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.94576e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.08481e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.85706e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.76455e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.89298e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=3.34483e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54825e+02   3.08932e-01   8.64414e-04  -3.40457e-01
-   2  sg_p1        1.76653e+01   2.83564e-01   1.49117e-03  -1.87292e-01
-   3  sg_p2        5.24710e+02   6.23394e+00   5.56281e-03  -3.21417e-03
-   4  sg_p3        7.62214e+01   5.87300e+00   1.25436e-02  -2.96877e-02
-   5  sg_p4        9.14864e-01   8.46661e-03   2.18261e-03   1.16509e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.544e-02 -7.404e-03  2.048e-01 -3.550e-01 -2.065e-04 
- -7.404e-03  8.042e-02  5.052e-01  4.449e-01  1.260e-03 
-  2.048e-01  5.052e-01  3.892e+01 -3.380e+00  2.466e-02 
- -3.550e-01  4.449e-01 -3.380e+00  3.475e+01  1.555e-02 
- -2.065e-04  1.260e-03  2.466e-02  1.555e-02  7.171e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23094   1.000 -0.085  0.106 -0.195 -0.079
-        2  0.54280  -0.085  1.000  0.286  0.266  0.525
-        3  0.54506   0.106  0.286  1.000 -0.092  0.467
-        4  0.44944  -0.195  0.266 -0.092  1.000  0.312
-        5  0.66734  -0.079  0.525  0.467  0.312  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM HESSE     STATUS=OK             31 CALLS         240 TOTAL
-                     EDM=3.3454e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54825e+02   3.09247e-01   1.72883e-04   2.84530e-01
-   2  sg_p1        1.76653e+01   2.83385e-01   2.98233e-04  -3.61435e-01
-   3  sg_p2        5.24710e+02   6.23786e+00   2.22512e-04   2.82352e+00
-   4  sg_p3        7.62214e+01   5.90192e+00   5.01743e-04   4.91089e-01
-   5  sg_p4        9.14864e-01   8.45305e-03   4.36523e-04   9.78619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.564e-02 -7.578e-03  2.127e-01 -3.656e-01 -2.095e-04 
- -7.578e-03  8.032e-02  4.934e-01  4.455e-01  1.255e-03 
-  2.127e-01  4.934e-01  3.897e+01 -4.053e+00  2.424e-02 
- -3.656e-01  4.455e-01 -4.053e+00  3.509e+01  1.551e-02 
- -2.095e-04  1.255e-03  2.424e-02  1.551e-02  7.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23507   1.000 -0.086  0.110 -0.200 -0.080
-        2  0.54198  -0.086  1.000  0.279  0.265  0.524
-        3  0.54588   0.110  0.279  1.000 -0.110  0.459
-        4  0.45781  -0.200  0.265 -0.110  1.000  0.310
-        5  0.66600  -0.080  0.524  0.459  0.310  1.000
-550
-554.825 +- 0.309247
-17.6653 +- 0.283385
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 25 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 34 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 38 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 39 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 40 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 47 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 112 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 114 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 554.818 +- 0.319404 (stat) - 0.949548 + 0.990665 (syst); -0.962884/+1.00345 (total)
-   Uncertainty on sg_p1 = 17.6653 +- 0.293042 (stat) - 0.37879 + 0.13828 (syst); -0.406141/+0.201469 (total)
-   Uncertainty on sg_p2 = 524.916 +- 6.41299 (stat) - 0.585115 + 4.83374 (syst); -3.25944/+5.80057 (total)
-   Uncertainty on sg_p3 = 75.7816 +- 6.04287 (stat) - 2.36797 + 4.36061 (syst); -3.8388/+5.30509 (total)
-   Uncertainty on sg_p4 = 0.915383 +- 0.00875334 (stat) - 0.00657606 + 0.00215055 (syst); -0.00789935/+0.00487649 (total) 
-   === Baseline plot === </br>
-   norm = 1470.79
-JEC     lnN   1.0002  -
-JER     lnN   1.01675  -
-btag    lnN   1.06585  -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out
deleted file mode 100644
index e976290..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000939248  -0.000939248/+0.0267059  (68% CL)
-nll S+B -> -0.0639131  nll B -> -0.0632701
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out
deleted file mode 100644
index c6635ee..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/CMS_HH4b_550_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.055397:	q_mu = 3.88025	q_A  = 3.79468	CLsb = 0.02442	CLb  = 0.49124	CLs  = 0.04971
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0554
-Expected  2.5%: r < 0.0303
-Expected 16.0%: r < 0.0400
-Expected 50.0%: r < 0.0562
-Expected 84.0%: r < 0.0790
-Expected 97.5%: r < 0.1095
-
-Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt
deleted file mode 100644
index ab03e79..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/datacard_550_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1470.79 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06585    -
-JER       lnN     1.01675   - 
-JEC       lnN     1.0002   -
-trigger   lnN     1.10    -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/signal550_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/signal550_sig.log
deleted file mode 100644
index 31e7a79..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_550_novo_285_624/signal550_sig.log
+++ /dev/null
@@ -1,872 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20474.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   5.07174e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.94014e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.02149e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   3.92576e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -5.54746e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM MIGRAD    STATUS=CONVERGED     293 CALLS         294 TOTAL
-                     EDM=2.38221e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.31487e+02   5.32162e-01   1.51230e-03   1.42028e-02
-   2  sg_p1        2.98204e+01   4.47933e-01   2.42219e-03   7.73048e-03
-   3  sg_p2        4.57724e+02   1.56211e+01   1.09347e-02  -8.53008e-03
-   4  sg_p3        8.95652e+01   1.08014e+01   3.54792e-02   1.21216e-02
-   5  sg_p4        9.54096e-01   8.70766e-03   2.37118e-03  -9.01545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.832e-01 -4.050e-02  7.504e-01 -1.728e+00 -9.374e-04 
- -4.050e-02  2.007e-01 -3.095e+00  6.692e-01  2.076e-03 
-  7.504e-01 -3.095e+00  2.467e+02 -1.356e+01 -1.062e-01 
- -1.728e+00  6.692e-01 -1.356e+01  1.226e+02  1.630e-02 
- -9.374e-04  2.076e-03 -1.062e-01  1.630e-02  7.587e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.34824   1.000 -0.170  0.090 -0.293 -0.202
-        2  0.53901  -0.170  1.000 -0.440  0.135  0.532
-        3  0.78111   0.090 -0.440  1.000 -0.078 -0.776
-        4  0.32107  -0.293  0.135 -0.078  1.000  0.169
-        5  0.81348  -0.202  0.532 -0.776  0.169  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20087.2 FROM HESSE     STATUS=OK             31 CALLS         325 TOTAL
-                     EDM=2.38806e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.31487e+02   5.34249e-01   6.04920e-05  -3.96390e-01
-   2  sg_p1        2.98204e+01   4.49790e-01   9.68875e-05   3.93104e-01
-   3  sg_p2        4.57724e+02   1.57210e+01   4.37390e-04  -4.03212e-01
-   4  sg_p3        8.95652e+01   1.08586e+01   1.41917e-03   8.75892e-01
-   5  sg_p4        9.54096e-01   8.77545e-03   4.74236e-04   1.13895e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.854e-01 -4.220e-02  8.178e-01 -1.810e+00 -9.783e-04 
- -4.220e-02  2.024e-01 -3.172e+00  7.162e-01  2.121e-03 
-  8.178e-01 -3.172e+00  2.499e+02 -1.585e+01 -1.082e-01 
- -1.810e+00  7.162e-01 -1.585e+01  1.240e+02  1.767e-02 
- -9.783e-04  2.121e-03 -1.082e-01  1.767e-02  7.705e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.35795   1.000 -0.176  0.097 -0.304 -0.209
-        2  0.54441  -0.176  1.000 -0.446  0.143  0.537
-        3  0.78430   0.097 -0.446  1.000 -0.090 -0.780
-        4  0.33330  -0.304  0.143 -0.090  1.000  0.181
-        5  0.81668  -0.209  0.537 -0.780  0.181  1.000
-550
-531.487 +- 0.534249
-29.8204 +- 0.44979
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20306.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   3.00053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.48703e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -9.55356e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   2.98032e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -6.39572e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM MIGRAD    STATUS=CONVERGED     292 CALLS         293 TOTAL
-                     EDM=4.51479e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.33845e+02   5.50540e-01   1.48402e-03   3.91502e-02
-   2  sg_p1        2.97723e+01   4.71570e-01   2.44878e-03   2.61411e-02
-   3  sg_p2        4.60591e+02   1.38428e+01   8.85082e-03  -6.68765e-03
-   4  sg_p3        8.05212e+01   8.20745e+00   2.03850e-02   9.33536e-03
-   5  sg_p4        9.47592e-01   1.00547e-02   2.37122e-03  -3.27058e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.031e-01 -5.910e-02  9.827e-01 -1.368e+00 -1.430e-03 
- -5.910e-02  2.224e-01 -3.125e+00  3.654e-01  2.724e-03 
-  9.827e-01 -3.125e+00  1.932e+02  9.312e+00 -1.123e-01 
- -1.368e+00  3.654e-01  9.312e+00  6.849e+01  4.927e-03 
- -1.430e-03  2.724e-03 -1.123e-01  4.927e-03  1.012e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.39978   1.000 -0.228  0.128 -0.300 -0.258
-        2  0.58300  -0.228  1.000 -0.477  0.094  0.574
-        3  0.81557   0.128 -0.477  1.000  0.081 -0.803
-        4  0.35284  -0.300  0.094  0.081  1.000  0.059
-        5  0.84274  -0.258  0.574 -0.803  0.059  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19957.6 FROM HESSE     STATUS=OK             31 CALLS         324 TOTAL
-                     EDM=4.5264e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.33845e+02   5.51808e-01   2.96804e-04  -3.24384e-01
-   2  sg_p1        2.97723e+01   4.73610e-01   9.79512e-05   3.89948e-01
-   3  sg_p2        4.60591e+02   1.39421e+01   3.54033e-04  -3.70629e-01
-   4  sg_p3        8.05212e+01   8.22375e+00   8.15398e-04   6.03025e-01
-   5  sg_p4        9.47592e-01   1.01305e-02   4.74244e-04   1.10884e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.045e-01 -6.047e-02  1.021e+00 -1.394e+00 -1.460e-03 
- -6.047e-02  2.244e-01 -3.200e+00  3.711e-01  2.779e-03 
-  1.021e+00 -3.200e+00  1.960e+02  9.327e+00 -1.144e-01 
- -1.394e+00  3.711e-01  9.327e+00  6.877e+01  5.012e-03 
- -1.460e-03  2.779e-03 -1.144e-01  5.012e-03  1.027e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.40458   1.000 -0.231  0.132 -0.305 -0.261
-        2  0.58785  -0.231  1.000 -0.483  0.094  0.579
-        3  0.81850   0.132 -0.483  1.000  0.080 -0.806
-        4  0.35705  -0.305  0.094  0.080  1.000  0.060
-        5  0.84530  -0.261  0.579 -0.806  0.060  1.000
-550
-533.845 +- 0.551808
-29.7723 +- 0.47361
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20361.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01   7.00402e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   2.42051e+01
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -8.13221e+02
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01   4.85542e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -4.37084e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE   
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN HESSE   
- ============== 1.70671 added to diagonal of error matrix
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             37 CALLS         258 TOTAL
-                     EDM=0.0234896    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29061e+02   5.14520e-01   1.55758e-03   2.24394e-02
-   2  sg_p1        2.98860e+01   4.23991e-01   2.39855e-03  -1.26397e-01
-   3  sg_p2        4.50244e+02   1.76938e+01   1.40698e-02  -3.32037e-01
-   4  sg_p3        9.92707e+01   5.23923e+01   1.16245e-01  -1.87665e-01
-   5  sg_p4        9.58893e-01   7.41282e-03   2.32468e-03  -2.84571e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM MIGRAD    STATUS=CONVERGED     353 CALLS         354 TOTAL
-                     EDM=3.50844e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.29115e+02   5.27512e-01   1.55654e-03   5.63178e-02
-   2  sg_p1        2.98537e+01   4.31194e-01   2.39683e-03  -4.86594e-03
-   3  sg_p2        4.52810e+02   1.71881e+01   1.26957e-02  -2.51152e-02
-   4  sg_p3        9.42149e+01   1.22791e+01   5.42279e-02  -7.82994e-03
-   5  sg_p4        9.57905e-01   7.92585e-03   2.33854e-03  -5.94545e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.783e-01 -2.926e-02  6.244e-01  2.021e+00 -6.669e-04 
- -2.926e-02  1.860e-01 -3.058e+00 -6.317e-01  1.675e-03 
-  6.244e-01 -3.058e+00  2.995e+02  2.884e+01 -1.049e-01 
-  2.021e+00 -6.317e-01  2.884e+01  1.696e+02 -1.694e-02 
- -6.669e-04  1.675e-03 -1.049e-01 -1.694e-02  6.285e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.33042   1.000 -0.129  0.068  0.294 -0.159
-        2  0.49650  -0.129  1.000 -0.410 -0.112  0.490
-        3  0.76815   0.068 -0.410  1.000  0.128 -0.765
-        4  0.31895   0.294 -0.112  0.128  1.000 -0.164
-        5  0.79426  -0.159  0.490 -0.765 -0.164  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19935.7 FROM HESSE     STATUS=OK             31 CALLS         385 TOTAL
-                     EDM=3.65774e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.29115e+02   5.25382e-01   3.11308e-04  -4.71083e-01
-   2  sg_p1        2.98537e+01   4.32758e-01   9.58731e-05   3.95290e-01
-   3  sg_p2        4.52810e+02   1.73342e+01   5.07828e-04  -4.60177e-01
-   4  sg_p3        9.42149e+01   1.23119e+01   2.16911e-03   2.08346e+00
-   5  sg_p4        9.57905e-01   7.98860e-03   4.67708e-04   1.15752e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.761e-01 -3.020e-02  7.182e-01  1.927e+00 -6.928e-04 
- -3.020e-02  1.873e-01 -3.149e+00 -7.080e-01  1.713e-03 
-  7.182e-01 -3.149e+00  3.047e+02  3.675e+01 -1.073e-01 
-  1.927e+00 -7.080e-01  3.675e+01  1.706e+02 -1.945e-02 
- -6.928e-04  1.713e-03 -1.073e-01 -1.945e-02  6.385e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.31928   1.000 -0.133  0.078  0.281 -0.165
-        2  0.50194  -0.133  1.000 -0.417 -0.125  0.495
-        3  0.77268   0.078 -0.417  1.000  0.161 -0.769
-        4  0.31887   0.281 -0.125  0.161  1.000 -0.186
-        5  0.79789  -0.165  0.495 -0.769 -0.186  1.000
-550
-529.115 +- 0.525382
-29.8537 +- 0.432758
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19951.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.82283e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.71398e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.74238e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.44109e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77604e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM MIGRAD    STATUS=CONVERGED     211 CALLS         212 TOTAL
-                     EDM=2.97149e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54818e+02   3.19097e-01   8.63536e-04  -3.36904e-01
-   2  sg_p1        1.76653e+01   2.93110e-01   1.48879e-03   2.40235e-04
-   3  sg_p2        5.24916e+02   6.40830e+00   5.54557e-03  -1.03056e-02
-   4  sg_p3        7.57816e+01   6.01449e+00   1.24041e-02  -3.47693e-02
-   5  sg_p4        9.15383e-01   8.76094e-03   2.18461e-03   2.17805e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.018e-01 -7.952e-03  2.184e-01 -3.767e-01 -2.239e-04 
- -7.952e-03  8.592e-02  5.369e-01  4.736e-01  1.353e-03 
-  2.184e-01  5.369e-01  4.114e+01 -3.542e+00  2.620e-02 
- -3.767e-01  4.736e-01 -3.542e+00  3.645e+01  1.672e-02 
- -2.239e-04  1.353e-03  2.620e-02  1.672e-02  7.678e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23180   1.000 -0.085  0.107 -0.196 -0.080
-        2  0.54417  -0.085  1.000  0.286  0.268  0.527
-        3  0.54552   0.107  0.286  1.000 -0.091  0.466
-        4  0.45297  -0.196  0.268 -0.091  1.000  0.316
-        5  0.66946  -0.080  0.527  0.466  0.316  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18314.7 FROM HESSE     STATUS=OK             31 CALLS         243 TOTAL
-                     EDM=2.96981e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54818e+02   3.19404e-01   1.72707e-04   2.84322e-01
-   2  sg_p1        1.76653e+01   2.93042e-01   5.95515e-05  -3.61434e-01
-   3  sg_p2        5.24916e+02   6.41299e+00   1.10911e-03   2.82124e+00
-   4  sg_p3        7.57816e+01   6.04287e+00   4.96162e-04   4.80037e-01
-   5  sg_p4        9.15383e-01   8.75334e-03   8.73843e-05   9.80484e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.020e-01 -8.145e-03  2.258e-01 -3.874e-01 -2.275e-04 
- -8.145e-03  8.588e-02  5.267e-01  4.756e-01  1.350e-03 
-  2.258e-01  5.267e-01  4.120e+01 -4.152e+00  2.584e-02 
- -3.874e-01  4.756e-01 -4.152e+00  3.680e+01  1.675e-02 
- -2.275e-04  1.350e-03  2.584e-02  1.675e-02  7.665e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23569   1.000 -0.087  0.110 -0.200 -0.081
-        2  0.54387  -0.087  1.000  0.280  0.268  0.526
-        3  0.54648   0.110  0.280  1.000 -0.107  0.460
-        4  0.46089  -0.200  0.268 -0.107  1.000  0.315
-        5  0.66874  -0.081  0.526  0.460  0.315  1.000
-550
-554.818 +- 0.319404
-17.6653 +- 0.293042
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19898.5 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.95168e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   4.81948e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.76540e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.98194e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.74417e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM MIGRAD    STATUS=CONVERGED     196 CALLS         197 TOTAL
-                     EDM=1.01176e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55808e+02   3.25659e-01   8.83901e-04  -1.63522e-01
-   2  sg_p1        1.77469e+01   3.01241e-01   1.51845e-03  -1.82594e-02
-   3  sg_p2        5.26122e+02   6.31840e+00   5.51012e-03  -4.30688e-02
-   4  sg_p3        7.70352e+01   6.10785e+00   1.27318e-02  -4.97405e-03
-   5  sg_p4        9.08807e-01   9.02494e-03   2.18610e-03  -1.94192e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.061e-01 -1.054e-02 -2.294e-01 -4.229e-01 -2.862e-04 
- -1.054e-02  9.076e-02 -4.904e-01  5.133e-01  1.441e-03 
- -2.294e-01 -4.904e-01  3.999e+01  5.524e+00 -2.505e-02 
- -4.229e-01  5.133e-01  5.524e+00  3.761e+01  1.706e-02 
- -2.862e-04  1.441e-03 -2.505e-02  1.706e-02  8.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.24854   1.000 -0.107 -0.111 -0.212 -0.097
-        2  0.54949  -0.107  1.000 -0.257  0.278  0.530
-        3  0.54187  -0.111 -0.257  1.000  0.142 -0.439
-        4  0.47566  -0.212  0.278  0.142  1.000  0.308
-        5  0.66453  -0.097  0.530 -0.439  0.308  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18245.4 FROM HESSE     STATUS=OK             31 CALLS         228 TOTAL
-                     EDM=1.00847e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.55808e+02   3.25832e-01   1.76780e-04   3.13943e-01
-   2  sg_p1        1.77469e+01   3.02069e-01   6.07379e-05  -3.56157e-01
-   3  sg_p2        5.26122e+02   6.32494e+00   1.10202e-03   6.61694e+00
-   4  sg_p3        7.70352e+01   6.12320e+00   5.09272e-04   5.11714e-01
-   5  sg_p4        9.08807e-01   9.06729e-03   8.74438e-05   9.57256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.062e-01 -1.081e-02 -2.268e-01 -4.286e-01 -2.938e-04 
- -1.081e-02  9.126e-02 -4.992e-01  5.258e-01  1.460e-03 
- -2.268e-01 -4.992e-01  4.007e+01  5.270e+00 -2.536e-02 
- -4.286e-01  5.258e-01  5.270e+00  3.780e+01  1.761e-02 
- -2.938e-04  1.460e-03 -2.536e-02  1.761e-02  8.224e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.25053   1.000 -0.110 -0.110 -0.214 -0.099
-        2  0.55296  -0.110  1.000 -0.261  0.283  0.533
-        3  0.54324  -0.110 -0.261  1.000  0.135 -0.442
-        4  0.47947  -0.214  0.283  0.135  1.000  0.316
-        5  0.66843  -0.099  0.533 -0.442  0.316  1.000
-550
-555.808 +- 0.325832
-17.7469 +- 0.302069
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19728.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.67505e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.63661e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.67995e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.03919e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.77879e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM MIGRAD    STATUS=CONVERGED     209 CALLS         210 TOTAL
-                     EDM=1.24678e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.53868e+02   3.10680e-01   8.32651e-04  -2.62603e-02
-   2  sg_p1        1.72866e+01   2.81268e-01   1.45728e-03   8.07767e-02
-   3  sg_p2        5.24887e+02   6.75798e+00   5.96660e-03  -3.92394e-02
-   4  sg_p3        7.92365e+01   6.79795e+00   1.48996e-02   6.90285e-03
-   5  sg_p4        9.17534e-01   8.29708e-03   2.15408e-03  -1.06137e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.652e-02 -6.967e-03  2.218e-01 -3.867e-01 -1.900e-04 
- -6.967e-03  7.912e-02  4.748e-01  5.229e-01  1.170e-03 
-  2.218e-01  4.748e-01  4.576e+01 -5.306e+00  2.407e-02 
- -3.867e-01  5.229e-01 -5.306e+00  4.672e+01  1.731e-02 
- -1.900e-04  1.170e-03  2.407e-02  1.731e-02  6.886e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21574   1.000 -0.080  0.106 -0.182 -0.074
-        2  0.52328  -0.080  1.000  0.250  0.272  0.501
-        3  0.51581   0.106  0.250  1.000 -0.115  0.429
-        4  0.44943  -0.182  0.272 -0.115  1.000  0.305
-        5  0.64010  -0.074  0.501  0.429  0.305  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18112.5 FROM HESSE     STATUS=OK             31 CALLS         241 TOTAL
-                     EDM=1.27405e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.53868e+02   3.10987e-01   1.66530e-04   2.56169e-01
-   2  sg_p1        1.72866e+01   2.81269e-01   2.91456e-04  -3.86094e-01
-   3  sg_p2        5.24887e+02   6.76745e+00   1.19332e-03   2.82155e+00
-   4  sg_p3        7.92365e+01   6.83832e+00   5.95982e-04   5.68761e-01
-   5  sg_p4        9.17534e-01   8.29250e-03   8.61633e-05   9.88256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.672e-02 -7.180e-03  2.301e-01 -3.999e-01 -1.942e-04 
- -7.180e-03  7.912e-02  4.628e-01  5.278e-01  1.169e-03 
-  2.301e-01  4.628e-01  4.588e+01 -6.142e+00  2.369e-02 
- -3.999e-01  5.278e-01 -6.142e+00  4.728e+01  1.742e-02 
- -1.942e-04  1.169e-03  2.369e-02  1.742e-02  6.879e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22006   1.000 -0.082  0.109 -0.187 -0.075
-        2  0.52328  -0.082  1.000  0.243  0.273  0.501
-        3  0.51782   0.109  0.243  1.000 -0.132  0.422
-        4  0.45946  -0.187  0.273 -0.132  1.000  0.305
-        5  0.63959  -0.075  0.501  0.422  0.305  1.000
-550
-553.868 +- 0.310987
-17.2866 +- 0.281269
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19523.7 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.78246e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.48227e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.72744e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.53463e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.73440e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=1.1296e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54743e+02   3.23108e-01   8.67838e-04   1.02910e-02
-   2  sg_p1        1.78036e+01   2.93560e-01   1.48809e-03   3.64244e-02
-   3  sg_p2        5.29749e+02   7.02376e+00   6.17425e-03   3.49463e-03
-   4  sg_p3        8.01422e+01   7.11749e+00   1.53333e-02   4.67692e-03
-   5  sg_p4        9.16151e-01   8.68122e-03   2.20244e-03  -2.64886e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.044e-01 -5.800e-03  3.107e-01 -4.077e-01 -1.462e-04 
- -5.800e-03  8.619e-02  4.716e-01  5.708e-01  1.298e-03 
-  3.107e-01  4.716e-01  4.944e+01 -9.571e+00  2.482e-02 
- -4.077e-01  5.708e-01 -9.571e+00  5.129e+01  1.933e-02 
- -1.462e-04  1.298e-03  2.482e-02  1.933e-02  7.539e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.21481   1.000 -0.061  0.137 -0.176 -0.052
-        2  0.52839  -0.061  1.000  0.228  0.271  0.509
-        3  0.54059   0.137  0.228  1.000 -0.190  0.407
-        4  0.49556  -0.176  0.271 -0.190  1.000  0.311
-        5  0.64950  -0.052  0.509  0.407  0.311  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17921.7 FROM HESSE     STATUS=OK             31 CALLS         252 TOTAL
-                     EDM=1.13732e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54743e+02   3.23491e-01   3.47135e-05   2.82090e-01
-   2  sg_p1        1.78036e+01   2.93564e-01   5.95236e-05  -3.52489e-01
-   3  sg_p2        5.29749e+02   7.04856e+00   2.46970e-04   2.76712e+00
-   4  sg_p3        8.01422e+01   7.18360e+00   6.13332e-04   5.92835e-01
-   5  sg_p4        9.16151e-01   8.67262e-03   4.40487e-04   9.83249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.046e-01 -6.090e-03  3.230e-01 -4.265e-01 -1.522e-04 
- -6.090e-03  8.619e-02  4.539e-01  5.786e-01  1.296e-03 
-  3.230e-01  4.539e-01  4.979e+01 -1.084e+01  2.423e-02 
- -4.265e-01  5.786e-01 -1.084e+01  5.225e+01  1.948e-02 
- -1.522e-04  1.296e-03  2.423e-02  1.948e-02  7.524e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.22000   1.000 -0.064  0.142 -0.182 -0.054
-        2  0.52841  -0.064  1.000  0.219  0.273  0.509
-        3  0.54519   0.142  0.219  1.000 -0.213  0.396
-        4  0.50912  -0.182  0.273 -0.213  1.000  0.311
-        5  0.64862  -0.054  0.509  0.396  0.311  1.000
-550
-554.743 +- 0.323491
-17.8036 +- 0.293564
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20158.4 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.85494e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.04709e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.75210e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.33590e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.81352e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=7.37276e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54870e+02   3.11615e-01   8.46985e-04  -5.92156e-02
-   2  sg_p1        1.73495e+01   2.85260e-01   1.47111e-03   7.67177e-02
-   3  sg_p2        5.24331e+02   6.05754e+00   5.28257e-03   4.53885e-03
-   4  sg_p3        7.34136e+01   5.53118e+00   1.12466e-02  -1.10576e-02
-   5  sg_p4        9.15605e-01   8.65240e-03   2.17248e-03  -7.85532e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.711e-02 -7.947e-03  1.826e-01 -3.420e-01 -2.412e-04 
- -7.947e-03  8.138e-02  5.038e-01  4.162e-01  1.294e-03 
-  1.826e-01  5.038e-01  3.675e+01 -2.414e+00  2.461e-02 
- -3.420e-01  4.162e-01 -2.414e+00  3.078e+01  1.542e-02 
- -2.412e-04  1.294e-03  2.461e-02  1.542e-02  7.489e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23325   1.000 -0.089  0.097 -0.198 -0.089
-        2  0.54079  -0.089  1.000  0.291  0.263  0.524
-        3  0.54052   0.097  0.291  1.000 -0.072  0.469
-        4  0.44504  -0.198  0.263 -0.072  1.000  0.321
-        5  0.66858  -0.089  0.524  0.469  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18466.6 FROM HESSE     STATUS=OK             31 CALLS         233 TOTAL
-                     EDM=7.38816e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54870e+02   3.11900e-01   1.69397e-04   2.85889e-01
-   2  sg_p1        1.73495e+01   2.85061e-01   2.94222e-04  -3.81980e-01
-   3  sg_p2        5.24331e+02   6.05810e+00   2.11303e-04   2.82772e+00
-   4  sg_p3        7.34136e+01   5.55334e+00   4.49864e-04   4.21567e-01
-   5  sg_p4        9.15605e-01   8.63836e-03   4.34496e-04   9.81281e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.728e-02 -8.106e-03  1.896e-01 -3.508e-01 -2.439e-04 
- -8.106e-03  8.127e-02  4.931e-01  4.161e-01  1.289e-03 
-  1.896e-01  4.931e-01  3.676e+01 -2.963e+00  2.422e-02 
- -3.508e-01  4.161e-01 -2.963e+00  3.103e+01  1.537e-02 
- -2.439e-04  1.289e-03  2.422e-02  1.537e-02  7.465e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23692   1.000 -0.091  0.100 -0.202 -0.091
-        2  0.53988  -0.091  1.000  0.285  0.262  0.523
-        3  0.54066   0.100  0.285  1.000 -0.088  0.462
-        4  0.45196  -0.202  0.262 -0.088  1.000  0.319
-        5  0.66723  -0.091  0.523  0.462  0.319  1.000
-550
-554.87 +- 0.3119
-17.3495 +- 0.285061
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18671.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.70584e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   5.36049e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.63312e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.13435e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.66463e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM MIGRAD    STATUS=CONVERGED     203 CALLS         204 TOTAL
-                     EDM=1.02695e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54811e+02   3.29767e-01   8.63223e-04  -1.93001e-01
-   2  sg_p1        1.76648e+01   3.03153e-01   1.48879e-03   3.74125e-02
-   3  sg_p2        5.25130e+02   6.59118e+00   5.51974e-03  -1.87163e-03
-   4  sg_p3        7.53402e+01   6.16780e+00   1.22242e-02  -1.30639e-02
-   5  sg_p4        9.15918e-01   9.07192e-03   2.19004e-03  -5.75224e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.088e-01 -8.558e-03  2.332e-01 -4.008e-01 -2.433e-04 
- -8.558e-03  9.191e-02  5.712e-01  5.058e-01  1.454e-03 
-  2.332e-01  5.712e-01  4.352e+01 -3.716e+00  2.786e-02 
- -4.008e-01  5.058e-01 -3.716e+00  3.834e+01  1.804e-02 
- -2.433e-04  1.454e-03  2.786e-02  1.804e-02  8.233e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23278   1.000 -0.086  0.107 -0.196 -0.081
-        2  0.54570  -0.086  1.000  0.286  0.269  0.529
-        3  0.54594   0.107  0.286  1.000 -0.091  0.465
-        4  0.45689  -0.196  0.269 -0.091  1.000  0.321
-        5  0.67171  -0.081  0.529  0.465  0.321  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17136.3 FROM HESSE     STATUS=OK             31 CALLS         235 TOTAL
-                     EDM=1.02452e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54811e+02   3.30104e-01   1.72645e-04   2.84116e-01
-   2  sg_p1        1.76648e+01   3.03000e-01   5.95517e-05  -3.61468e-01
-   3  sg_p2        5.25130e+02   6.59509e+00   2.20790e-04   2.81886e+00
-   4  sg_p3        7.53402e+01   6.19835e+00   4.88968e-04   4.69011e-01
-   5  sg_p4        9.15918e-01   9.05834e-03   4.38009e-04   9.82408e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e-01 -8.764e-03  2.421e-01 -4.127e-01 -2.470e-04 
- -8.764e-03  9.182e-02  5.581e-01  5.069e-01  1.449e-03 
-  2.421e-01  5.581e-01  4.357e+01 -4.454e+00  2.739e-02 
- -4.127e-01  5.069e-01 -4.454e+00  3.873e+01  1.802e-02 
- -2.470e-04  1.449e-03  2.739e-02  1.802e-02  8.208e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23689   1.000 -0.088  0.111 -0.201 -0.083
-        2  0.54504  -0.088  1.000  0.279  0.269  0.528
-        3  0.54671   0.111  0.279  1.000 -0.108  0.458
-        4  0.46512  -0.201  0.269 -0.108  1.000  0.320
-        5  0.67048  -0.083  0.528  0.458  0.320  1.000
-550
-554.811 +- 0.330104
-17.6648 +- 0.303
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21296.1 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.45000e+02   7.00000e+00   2.01358e-01  -1.94576e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   6.08481e+02
-   3  sg_p2        4.95000e+02   1.90000e+01   2.01358e-01  -1.85706e+03
-   4  sg_p3        5.50000e+01   9.00000e+00   2.01358e-01  -4.76455e+02
-   5  sg_p4        5.00000e-01   1.00000e-01   2.01358e-01  -1.89298e+03
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=3.34483e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.54825e+02   3.08932e-01   8.64414e-04  -3.40457e-01
-   2  sg_p1        1.76653e+01   2.83564e-01   1.49117e-03  -1.87292e-01
-   3  sg_p2        5.24710e+02   6.23394e+00   5.56281e-03  -3.21417e-03
-   4  sg_p3        7.62214e+01   5.87300e+00   1.25436e-02  -2.96877e-02
-   5  sg_p4        9.14864e-01   8.46661e-03   2.18261e-03   1.16509e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.544e-02 -7.404e-03  2.048e-01 -3.550e-01 -2.065e-04 
- -7.404e-03  8.042e-02  5.052e-01  4.449e-01  1.260e-03 
-  2.048e-01  5.052e-01  3.892e+01 -3.380e+00  2.466e-02 
- -3.550e-01  4.449e-01 -3.380e+00  3.475e+01  1.555e-02 
- -2.065e-04  1.260e-03  2.466e-02  1.555e-02  7.171e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23094   1.000 -0.085  0.106 -0.195 -0.079
-        2  0.54280  -0.085  1.000  0.286  0.266  0.525
-        3  0.54506   0.106  0.286  1.000 -0.092  0.467
-        4  0.44944  -0.195  0.266 -0.092  1.000  0.312
-        5  0.66734  -0.079  0.525  0.467  0.312  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19553.2 FROM HESSE     STATUS=OK             31 CALLS         240 TOTAL
-                     EDM=3.3454e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.54825e+02   3.09247e-01   1.72883e-04   2.84530e-01
-   2  sg_p1        1.76653e+01   2.83385e-01   2.98233e-04  -3.61435e-01
-   3  sg_p2        5.24710e+02   6.23786e+00   2.22512e-04   2.82352e+00
-   4  sg_p3        7.62214e+01   5.90192e+00   5.01743e-04   4.91089e-01
-   5  sg_p4        9.14864e-01   8.45305e-03   4.36523e-04   9.78619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  9.564e-02 -7.578e-03  2.127e-01 -3.656e-01 -2.095e-04 
- -7.578e-03  8.032e-02  4.934e-01  4.455e-01  1.255e-03 
-  2.127e-01  4.934e-01  3.897e+01 -4.053e+00  2.424e-02 
- -3.656e-01  4.455e-01 -4.053e+00  3.509e+01  1.551e-02 
- -2.095e-04  1.255e-03  2.424e-02  1.551e-02  7.148e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.23507   1.000 -0.086  0.110 -0.200 -0.080
-        2  0.54198  -0.086  1.000  0.279  0.265  0.524
-        3  0.54588   0.110  0.279  1.000 -0.110  0.459
-        4  0.45781  -0.200  0.265 -0.110  1.000  0.310
-        5  0.66600  -0.080  0.524  0.459  0.310  1.000
-550
-554.825 +- 0.309247
-17.6653 +- 0.283385
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 25 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 34 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 38 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 39 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 40 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 47 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 112 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 113 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 114 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 115 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 116 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 554.818 +- 0.319404 (stat) - 0.949548 + 0.990665 (syst); -0.962884/+1.00345 (total)
-   Uncertainty on sg_p1 = 17.6653 +- 0.293042 (stat) - 0.37879 + 0.13828 (syst); -0.406141/+0.201469 (total)
-   Uncertainty on sg_p2 = 524.916 +- 6.41299 (stat) - 0.585115 + 4.83374 (syst); -3.25944/+5.80057 (total)
-   Uncertainty on sg_p3 = 75.7816 +- 6.04287 (stat) - 2.36797 + 4.36061 (syst); -3.8388/+5.30509 (total)
-   Uncertainty on sg_p4 = 0.915383 +- 0.00875334 (stat) - 0.00657606 + 0.00215055 (syst); -0.00789935/+0.00487649 (total) 
-   === Baseline plot === </br>
-   norm = 1470.79
-JEC     lnN   1.0002  -
-JER     lnN   1.01675  -
-btag    lnN   1.06585  -
-sg_p0   param   554.818 -0.962884/+1.00345
-sg_p1   param   17.6653 -0.406141/+0.201469
-sg_p2   param   524.916  -3.25944/+5.80057
-sg_p3   param   75.7816  -3.8388/+5.30509
-sg_p4   param   0.915383  -0.00789935/+0.00487649 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out
deleted file mode 100644
index b0e897d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.110
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000615616  -0.000615616/+0.0175991  (68% CL)
-nll S+B -> -0.00567674  nll B -> -0.00503627
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out
deleted file mode 100644
index 0e98f81..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.036290:	q_mu = 3.85247	q_A  = 3.86290	CLsb = 0.02484	CLb  = 0.50106	CLs  = 0.04957
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0363
-Expected  2.5%: r < 0.0192
-Expected 16.0%: r < 0.0260
-Expected 50.0%: r < 0.0366
-Expected 84.0%: r < 0.0515
-Expected 97.5%: r < 0.0707
-
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index c704996..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt
deleted file mode 100644
index c3b4ca6..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/datacard_600_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1712.99 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06714    -
-JER       lnN     1.01626   - 
-JEC       lnN     1.00275   -
-trigger   lnN     1.10    -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/signal600_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/signal600_sig.log
deleted file mode 100644
index 3215894..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_crystal_1_285_624/signal600_sig.log
+++ /dev/null
@@ -1,843 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24280 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.58677e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.18368e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.42384e+03
-   4  sg_p3        4.21820e+01   1.20000e+01  -4.82092e-01  -6.03718e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   7.69925e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM MIGRAD    STATUS=CONVERGED     442 CALLS         443 TOTAL
-                     EDM=3.37608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.88137e+02   2.17401e+00   1.57187e-03   5.45097e-02
-   2  sg_p1        2.90958e+01   6.86009e-01   3.13675e-03   7.79119e-02
-   3  sg_p2        5.59880e+02   5.00457e+00   1.98829e-03  -7.62283e-02
-   4  sg_p3        3.62716e+01   3.18321e+00   2.14823e-03   9.85100e-02
-   5  sg_p4        7.00002e-01   2.12576e-01   1.12952e-01   2.90847e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.731e+00 -1.030e+00 -9.979e+00 -6.388e+00 -2.483e-04 
- -1.030e+00  4.709e-01  2.213e+00  1.252e+00  1.258e-04 
- -9.979e+00  2.213e+00  2.508e+01  1.471e+01 -7.877e-04 
- -6.388e+00  1.252e+00  1.471e+01  1.015e+01  1.142e-06 
- -2.483e-04  1.258e-04 -7.877e-04  1.142e-06  1.239e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95782   1.000 -0.690 -0.916 -0.922 -0.103
-        2  0.73673  -0.690  1.000  0.644  0.573  0.165
-        3  0.96060  -0.916  0.644  1.000  0.922 -0.141
-        4  0.94775  -0.922  0.573  0.922  1.000  0.000
-        5  0.62405  -0.103  0.165 -0.141  0.000  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM HESSE     STATUS=OK             35 CALLS         478 TOTAL
-                     EDM=0.000121989    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.88137e+02   3.29842e+00   3.14373e-04  -3.84102e-01
-   2  sg_p1        2.90958e+01   1.12225e+00   1.25470e-04   3.45999e-01
-   3  sg_p2        5.59880e+02   4.99521e+00   3.97658e-04  -2.02989e-01
-   4  sg_p3        3.62716e+01   3.76792e+00   8.59293e-05  -5.96971e-01
-   5  sg_p4        7.00002e-01   2.43034e-01   4.60846e-01  -1.56553e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e+01 -3.238e+00 -9.781e+00 -1.140e+01 -3.564e-03 
- -3.238e+00  1.262e+00  2.139e+00  3.042e+00  1.285e-03 
- -9.781e+00  2.139e+00  2.499e+01  1.455e+01 -2.935e-04 
- -1.140e+01  3.042e+00  1.455e+01  1.422e+01  2.841e-03 
- -3.564e-03  1.285e-03 -2.935e-04  2.841e-03  2.063e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.98192   1.000 -0.873 -0.593 -0.915 -0.752
-        2  0.91068  -0.873  1.000  0.381  0.718  0.797
-        3  0.96045  -0.593  0.381  1.000  0.772 -0.041
-        4  0.96302  -0.915  0.718  0.772  1.000  0.524
-        5  0.96908  -0.752  0.797 -0.041  0.524  1.000
-600
-588.137 +- 3.29842
-29.0958 +- 1.12225
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23767.1 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.17349e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.02365e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.16298e+03
-   4  sg_p3        4.39845e+01   1.20000e+01  -4.48474e-01   4.93391e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   6.61691e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=4.72305e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92012e+02   1.51134e+00   1.46358e-03   1.14647e-01
-   2  sg_p1        2.81327e+01   6.59039e-01   2.96171e-03  -1.30179e-01
-   3  sg_p2        5.58427e+02   3.47970e+00   1.93226e-03   6.71315e-02
-   4  sg_p3        3.58696e+01   2.45943e+00   2.12007e-03   3.27001e-02
-   5  sg_p4        7.00002e-01   6.59449e-02   8.47138e-02   5.69759e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.285e+00 -7.049e-01 -4.524e+00 -3.253e+00 -8.515e-05 
- -7.049e-01  4.346e-01  1.539e+00  9.868e-01  4.573e-05 
- -4.524e+00  1.539e+00  1.212e+01  7.552e+00 -3.909e-04 
- -3.253e+00  9.868e-01  7.552e+00  6.054e+00 -5.215e-05 
- -8.515e-05  4.573e-05 -3.909e-04 -5.215e-05  5.765e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91672   1.000 -0.707 -0.860 -0.875 -0.074
-        2  0.73205  -0.707  1.000  0.671  0.608  0.091
-        3  0.92123  -0.860  0.671  1.000  0.882 -0.148
-        4  0.91302  -0.875  0.608  0.882  1.000 -0.028
-        5  0.44297  -0.074  0.091 -0.148 -0.028  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM HESSE     STATUS=OK             37 CALLS         367 TOTAL
-                     EDM=3.83352e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92012e+02   1.96656e+00   2.92716e-04  -2.92785e-01
-   2  sg_p1        2.81327e+01   8.71252e-01   5.92343e-04   2.84598e-01
-   3  sg_p2        5.58427e+02   3.77659e+00   3.86452e-04  -2.22807e-01
-   4  sg_p3        3.58696e+01   2.54070e+00   8.48026e-05  -6.05095e-01
-   5  sg_p4        7.00002e-01   1.87580e-01   5.00000e-01  -1.56561e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.870e+00 -1.423e+00 -2.748e+00 -4.031e+00 -1.028e-03 
- -1.423e+00  7.598e-01  7.297e-01  1.337e+00  4.676e-04 
- -2.748e+00  7.297e-01  1.428e+01  6.747e+00 -1.238e-03 
- -4.031e+00  1.337e+00  6.747e+00  6.461e+00  4.747e-04 
- -1.028e-03  4.676e-04 -1.238e-03  4.747e-04  6.718e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95171   1.000 -0.830 -0.370 -0.806 -0.637
-        2  0.85706  -0.830  1.000  0.222  0.604  0.654
-        3  0.93356  -0.370  0.222  1.000  0.703 -0.400
-        4  0.91874  -0.806  0.604  0.703  1.000  0.228
-        5  0.94267  -0.637  0.654 -0.400  0.228  1.000
-600
-592.012 +- 1.96656
-28.1327 +- 0.871252
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24394 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.94278e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.29909e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.67228e+03
-   4  sg_p3        4.09440e+01   1.20000e+01  -5.05526e-01  -7.57306e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   8.58548e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM MIGRAD    STATUS=CONVERGED     638 CALLS         639 TOTAL
-                     EDM=8.42969e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.78603e+02   5.64911e-01   1.40473e-03   3.72907e-01
-   2  sg_p1        3.20881e+01   4.06669e-01   2.67756e-03   1.44036e-01
-   3  sg_p2        5.00002e+02   1.10618e+02   1.52750e-01  -2.88106e-03
-   4  sg_p3        6.94039e+01   2.89324e+01   3.44374e-02  -1.04731e-02
-   5  sg_p4        9.76772e-01   7.03168e-03   5.92623e-03  -8.42769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.191e-01 -1.408e-02  3.587e-02 -7.029e+00  1.364e-04 
- -1.408e-02  1.654e-01 -3.289e-02 -2.769e+00  1.295e-03 
-  3.587e-02 -3.289e-02  6.513e-01 -1.947e+00 -1.609e-03 
- -7.029e+00 -2.769e+00 -1.947e+00  9.115e+02 -1.280e-01 
-  1.364e-04  1.295e-03 -1.609e-03 -1.280e-01  4.957e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49930   1.000 -0.061  0.079 -0.412  0.034
-        2  0.46165  -0.061  1.000 -0.100 -0.225  0.452
-        3  0.43169   0.079 -0.100  1.000 -0.080 -0.283
-        4  0.75355  -0.412 -0.225 -0.080  1.000 -0.602
-        5  0.76469   0.034  0.452 -0.283 -0.602  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM HESSE     STATUS=OK             35 CALLS         674 TOTAL
-                     EDM=8.36581e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.78603e+02   5.65787e-01   2.80946e-04  -6.26852e-01
-   2  sg_p1        3.20881e+01   4.25746e-01   5.35511e-04   5.47427e-01
-   3  sg_p2        5.00002e+02   9.83339e+01   5.00000e-01  -1.57791e+00
-   4  sg_p3        6.94039e+01   2.99669e+01   6.88747e-03  -9.93577e-03
-   5  sg_p4        9.76772e-01   9.53722e-03   1.18525e-03   1.00684e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.201e-01 -1.400e-02  1.487e-02 -7.254e+00  1.740e-04 
- -1.400e-02  1.813e-01 -8.069e-02 -3.550e+00  2.110e-03 
-  1.487e-02 -8.069e-02  3.935e-01  2.133e+00 -4.095e-03 
- -7.254e+00 -3.550e+00  2.133e+00  9.846e+02 -1.706e-01 
-  1.740e-04  2.110e-03 -4.095e-03 -1.706e-01  9.139e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50162   1.000 -0.058  0.042 -0.409  0.032
-        2  0.53111  -0.058  1.000 -0.302 -0.266  0.518
-        3  0.77391   0.042 -0.302  1.000  0.108 -0.683
-        4  0.77455  -0.409 -0.266  0.108  1.000 -0.569
-        5  0.88021   0.032  0.518 -0.683 -0.569  1.000
-600
-578.603 +- 0.565787
-32.0881 +- 0.425746
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21188 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10915e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.89680e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.48216e+02
-   4  sg_p3        5.20622e+01   1.20000e+01  -3.03606e-01   1.51172e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.90966e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM MIGRAD    STATUS=CONVERGED     266 CALLS         267 TOTAL
-                     EDM=3.97173e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06507e+02   4.54842e-01   7.93051e-04   2.28694e-01
-   2  sg_p1        1.74848e+01   6.42892e-01   1.87527e-03  -5.26219e-03
-   3  sg_p2        5.99858e+02   1.64781e+00   1.84882e-03   3.91300e-02
-   4  sg_p3        3.51205e+01   2.40944e+00   1.97487e-03  -2.11296e-02
-   5  sg_p4        7.69875e-01   4.95303e-02   1.12811e-02   5.41517e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.069e-01 -1.274e-01 -9.667e-02 -5.293e-01 -1.089e-02 
- -1.274e-01  4.136e-01 -4.310e-01  1.196e+00  2.909e-02 
- -9.667e-02 -4.310e-01  2.716e+00 -1.523e+00 -3.888e-02 
- -5.293e-01  1.196e+00 -1.523e+00  5.810e+00  1.117e-01 
- -1.089e-02  2.909e-02 -3.888e-02  1.117e-01  2.589e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62100   1.000 -0.435 -0.129 -0.483 -0.470
-        2  0.89410  -0.435  1.000 -0.407  0.772  0.889
-        3  0.60904  -0.129 -0.407  1.000 -0.383 -0.464
-        4  0.91664  -0.483  0.772 -0.383  1.000  0.910
-        5  0.95959  -0.470  0.889 -0.464  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM HESSE     STATUS=OK             31 CALLS         298 TOTAL
-                     EDM=3.94319e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06507e+02   4.49294e-01   1.58610e-04   3.34861e-02
-   2  sg_p1        1.74848e+01   6.23965e-01   7.50107e-05  -3.73160e-01
-   3  sg_p2        5.99858e+02   1.64758e+00   3.69764e-04   3.37830e-01
-   4  sg_p3        3.51205e+01   2.33871e+00   7.89949e-05  -6.20356e-01
-   5  sg_p4        7.69875e-01   4.80150e-02   4.51245e-04  -5.63520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.019e-01 -1.162e-01 -1.057e-01 -4.868e-01 -9.943e-03 
- -1.162e-01  3.895e-01 -4.147e-01  1.106e+00  2.709e-02 
- -1.057e-01 -4.147e-01  2.715e+00 -1.465e+00 -3.762e-02 
- -4.868e-01  1.106e+00 -1.465e+00  5.474e+00  1.042e-01 
- -9.943e-03  2.709e-02 -3.762e-02  1.042e-01  2.425e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60859   1.000 -0.414 -0.143 -0.463 -0.449
-        2  0.88716  -0.414  1.000 -0.403  0.757  0.881
-        3  0.60890  -0.143 -0.403  1.000 -0.380 -0.464
-        4  0.91127  -0.463  0.757 -0.380  1.000  0.905
-        5  0.95679  -0.449  0.881 -0.464  0.905  1.000
-600
-606.507 +- 0.449294
-17.4848 +- 0.623965
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20985 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -6.03053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.30191e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.66899e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.40682e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01  -1.90294e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM MIGRAD    STATUS=CONVERGED     278 CALLS         279 TOTAL
-                     EDM=1.57711e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07915e+02   5.09392e-01   8.36892e-04  -1.25909e-01
-   2  sg_p1        1.72285e+01   7.70692e-01   2.00532e-03  -9.85888e-02
-   3  sg_p2        6.00885e+02   1.55983e+00   1.61488e-03   1.97987e-02
-   4  sg_p3        3.39190e+01   2.23203e+00   1.72499e-03  -5.63339e-02
-   5  sg_p4        7.24773e-01   5.61261e-02   1.85033e-02   4.35514e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.965e-01 -2.282e-02 -6.210e-01 -1.671e-02 
- -1.965e-01  5.945e-01 -6.118e-01  1.389e+00  4.341e-02 
- -2.282e-02 -6.118e-01  2.433e+00 -1.664e+00 -5.404e-02 
- -6.210e-01  1.389e+00 -1.664e+00  4.986e+00  1.270e-01 
- -1.671e-02  4.341e-02 -5.404e-02  1.270e-01  3.808e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.67158   1.000 -0.500 -0.029 -0.546 -0.531
-        2  0.91709  -0.500  1.000 -0.509  0.807  0.912
-        3  0.68224  -0.029 -0.509  1.000 -0.478 -0.561
-        4  0.92836  -0.546  0.807 -0.478  1.000  0.922
-        5  0.96819  -0.531  0.912 -0.561  0.922  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM HESSE     STATUS=OK             31 CALLS         310 TOTAL
-                     EDM=1.26117e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07915e+02   4.85233e-01   1.67378e-04   6.48251e-02
-   2  sg_p1        1.72285e+01   6.67550e-01   4.01065e-04  -3.89892e-01
-   3  sg_p2        6.00885e+02   1.49623e+00   3.22976e-04   3.52384e-01
-   4  sg_p3        3.39190e+01   1.92936e+00   6.89997e-05  -6.45190e-01
-   5  sg_p4        7.24773e-01   4.89776e-02   7.40132e-04  -9.87850e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.355e-01 -1.368e-01 -9.181e-02 -4.464e-01 -1.164e-02 
- -1.368e-01  4.459e-01 -4.412e-01  9.559e-01  3.085e-02 
- -9.181e-02 -4.412e-01  2.239e+00 -1.168e+00 -3.968e-02 
- -4.464e-01  9.559e-01 -1.168e+00  3.724e+00  9.043e-02 
- -1.164e-02  3.085e-02 -3.968e-02  9.043e-02  2.749e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62849   1.000 -0.422 -0.126 -0.477 -0.457
-        2  0.88775  -0.422  1.000 -0.442  0.742  0.881
-        3  0.64733  -0.126 -0.442  1.000 -0.405 -0.506
-        4  0.90281  -0.477  0.742 -0.405  1.000  0.894
-        5  0.95565  -0.457  0.881 -0.506  0.894  1.000
-600
-607.915 +- 0.485233
-17.2285 +- 0.66755
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21050.7 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -2.45953e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.88326e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.88080e+02
-   4  sg_p3        4.00581e+01   1.20000e+01   8.28277e-02  -3.70864e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79687e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM MIGRAD    STATUS=CONVERGED     330 CALLS         331 TOTAL
-                     EDM=4.39005e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05123e+02   4.29424e-01   7.69738e-04   2.63328e-01
-   2  sg_p1        1.74149e+01   6.34617e-01   1.82227e-03  -3.70681e-04
-   3  sg_p2        5.99738e+02   1.64211e+00   1.95138e-03   3.85233e-02
-   4  sg_p3        3.56367e+01   2.67089e+00   2.08773e-03   1.43347e-02
-   5  sg_p4        7.87200e-01   4.88787e-02   1.01395e-02   6.65902e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.844e-01 -1.102e-01 -1.471e-01 -5.033e-01 -9.306e-03 
- -1.102e-01  4.030e-01 -3.214e-01  1.334e+00  2.833e-02 
- -1.471e-01 -3.214e-01  2.697e+00 -1.302e+00 -2.911e-02 
- -5.033e-01  1.334e+00 -1.302e+00  7.141e+00  1.227e-01 
- -9.306e-03  2.833e-02 -2.911e-02  1.227e-01  2.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.58762   1.000 -0.404 -0.209 -0.439 -0.433
-        2  0.89717  -0.404  1.000 -0.308  0.786  0.893
-        3  0.53678  -0.209 -0.308  1.000 -0.297 -0.355
-        4  0.92270  -0.439  0.786 -0.297  1.000  0.918
-        5  0.96074  -0.433  0.893 -0.355  0.918  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM HESSE     STATUS=OK             31 CALLS         362 TOTAL
-                     EDM=4.37345e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.05123e+02   4.25719e-01   1.53948e-04   2.72521e-03
-   2  sg_p1        1.74149e+01   6.21639e-01   7.28909e-05  -3.77714e-01
-   3  sg_p2        5.99738e+02   1.64785e+00   3.90277e-04   3.36136e-01
-   4  sg_p3        3.56367e+01   2.61918e+00   8.35094e-05  -6.09822e-01
-   5  sg_p4        7.87200e-01   4.78840e-02   4.05579e-04  -4.31980e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.812e-01 -1.028e-01 -1.491e-01 -4.715e-01 -8.683e-03 
- -1.028e-01  3.866e-01 -3.221e-01  1.267e+00  2.701e-02 
- -1.491e-01 -3.221e-01  2.716e+00 -1.312e+00 -2.930e-02 
- -4.715e-01  1.267e+00 -1.312e+00  6.867e+00  1.173e-01 
- -8.683e-03  2.701e-02 -2.930e-02  1.173e-01  2.394e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.57780   1.000 -0.388 -0.212 -0.423 -0.417
-        2  0.89257  -0.388  1.000 -0.314  0.777  0.888
-        3  0.54137  -0.212 -0.314  1.000 -0.304 -0.363
-        4  0.91948  -0.423  0.777 -0.304  1.000  0.915
-        5  0.95897  -0.417  0.888 -0.363  0.915  1.000
-600
-605.123 +- 0.425719
-17.4149 +- 0.621639
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20832.1 FROM MIGRAD    STATUS=INITIATE       35 CALLS          36 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10122e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.39759e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.41911e+02
-   4  sg_p3        5.22092e+01   1.20000e+01  -3.01040e-01  -3.82741e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79614e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=2.70998e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06501e+02   4.51807e-01   7.97409e-04  -7.03207e-02
-   2  sg_p1        1.77334e+01   6.52405e-01   1.87706e-03  -1.65059e-02
-   3  sg_p2        5.99469e+02   1.79002e+00   1.94437e-03  -5.75168e-02
-   4  sg_p3        3.61659e+01   2.58390e+00   2.08852e-03   2.55527e-02
-   5  sg_p4        7.77016e-01   4.86366e-02   1.06632e-02  -1.67483e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.041e-01 -1.198e-01 -9.305e-02 -5.364e-01 -9.937e-03 
- -1.198e-01  4.259e-01 -5.231e-01  1.301e+00  2.891e-02 
- -9.305e-02 -5.231e-01  3.205e+00 -1.947e+00 -4.507e-02 
- -5.364e-01  1.301e+00 -1.947e+00  6.683e+00  1.171e-01 
- -9.937e-03  2.891e-02 -4.507e-02  1.171e-01  2.483e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60028   1.000 -0.406 -0.115 -0.459 -0.441
-        2  0.89400  -0.406  1.000 -0.448  0.771  0.889
-        3  0.63123  -0.115 -0.448  1.000 -0.421 -0.505
-        4  0.91499  -0.459  0.771 -0.421  1.000  0.909
-        5  0.95914  -0.441  0.889 -0.505  0.909  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=2.68748e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06501e+02   4.47624e-01   1.59482e-04   3.33576e-02
-   2  sg_p1        1.77334e+01   6.37778e-01   7.50826e-05  -3.57025e-01
-   3  sg_p2        5.99469e+02   1.79219e+00   3.88875e-04   3.32337e-01
-   4  sg_p3        3.61659e+01   2.52790e+00   8.35409e-05  -5.99103e-01
-   5  sg_p4        7.77016e-01   4.75332e-02   4.26528e-04  -5.08149e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.004e-01 -1.112e-01 -1.007e-01 -5.017e-01 -9.233e-03 
- -1.112e-01  4.070e-01 -5.109e-01  1.227e+00  2.742e-02 
- -1.007e-01 -5.109e-01  3.213e+00 -1.905e+00 -4.423e-02 
- -5.017e-01  1.227e+00 -1.905e+00  6.396e+00  1.113e-01 
- -9.233e-03  2.742e-02 -4.423e-02  1.113e-01  2.366e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.59019   1.000 -0.389 -0.126 -0.443 -0.424
-        2  0.88878  -0.389  1.000 -0.447  0.760  0.884
-        3  0.63238  -0.126 -0.447  1.000 -0.420 -0.507
-        4  0.91099  -0.443  0.760 -0.420  1.000  0.904
-        5  0.95708  -0.424  0.884 -0.507  0.904  1.000
-600
-606.501 +- 0.447624
-17.7334 +- 0.637778
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21392 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.65951e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.31252e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.10216e+02
-   4  sg_p3        4.66234e+01   1.20000e+01  -4.00208e-01  -5.49343e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.97937e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM MIGRAD    STATUS=CONVERGED     269 CALLS         270 TOTAL
-                     EDM=8.82705e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06547e+02   4.53645e-01   7.81411e-04  -3.17610e-01
-   2  sg_p1        1.71843e+01   6.39064e-01   1.86421e-03  -1.15499e-01
-   3  sg_p2        5.99736e+02   1.60177e+00   1.78744e-03  -2.73906e-01
-   4  sg_p3        3.43642e+01   2.28667e+00   1.90587e-03  -2.99641e-02
-   5  sg_p4        7.67062e-01   4.97568e-02   1.14541e-02   2.14855e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.058e-01 -1.334e-01 -7.609e-02 -5.233e-01 -1.147e-02 
- -1.334e-01  4.086e-01 -4.283e-01  1.132e+00  2.917e-02 
- -7.609e-02 -4.283e-01  2.566e+00 -1.449e+00 -3.913e-02 
- -5.233e-01  1.132e+00 -1.449e+00  5.233e+00  1.065e-01 
- -1.147e-02  2.917e-02 -3.913e-02  1.065e-01  2.619e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.63674   1.000 -0.460 -0.105 -0.504 -0.494
-        2  0.89676  -0.460  1.000 -0.418  0.774  0.892
-        3  0.61833  -0.105 -0.418  1.000 -0.395 -0.477
-        4  0.91625  -0.504  0.774 -0.395  1.000  0.910
-        5  0.96016  -0.494  0.892 -0.477  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM HESSE     STATUS=OK             31 CALLS         301 TOTAL
-                     EDM=8.5019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06547e+02   4.46977e-01   1.56282e-04   3.43777e-02
-   2  sg_p1        1.71843e+01   6.16688e-01   3.72843e-04  -3.92793e-01
-   3  sg_p2        5.99736e+02   1.59872e+00   3.57489e-04   3.36110e-01
-   4  sg_p3        3.43642e+01   2.20755e+00   7.62346e-05  -6.35935e-01
-   5  sg_p4        7.67062e-01   4.79510e-02   4.58166e-04  -5.85865e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.998e-01 -1.203e-01 -8.781e-02 -4.759e-01 -1.035e-02 
- -1.203e-01  3.805e-01 -4.057e-01  1.032e+00  2.680e-02 
- -8.781e-02 -4.057e-01  2.556e+00 -1.372e+00 -3.733e-02 
- -4.759e-01  1.032e+00 -1.372e+00  4.877e+00  9.814e-02 
- -1.035e-02  2.680e-02 -3.733e-02  9.814e-02  2.422e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62255   1.000 -0.436 -0.123 -0.482 -0.470
-        2  0.88865  -0.436  1.000 -0.411  0.757  0.883
-        3  0.61643  -0.123 -0.411  1.000 -0.389 -0.474
-        4  0.90983  -0.482  0.757 -0.389  1.000  0.903
-        5  0.95684  -0.470  0.883 -0.474  0.903  1.000
-600
-606.547 +- 0.446977
-17.1843 +- 0.616688
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19809.1 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -3.98661e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.36177e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.54710e+02
-   4  sg_p3        5.02879e+01   1.20000e+01  -3.34752e-01   5.32152e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.78206e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM MIGRAD    STATUS=CONVERGED     302 CALLS         303 TOTAL
-                     EDM=4.9436e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06510e+02   4.72659e-01   7.94140e-04   3.55653e-02
-   2  sg_p1        1.74543e+01   6.69157e-01   1.87997e-03   6.61865e-02
-   3  sg_p2        5.99840e+02   1.69608e+00   1.82702e-03  -5.88858e-02
-   4  sg_p3        3.49426e+01   2.46655e+00   1.95035e-03   5.14767e-02
-   5  sg_p4        7.67921e-01   5.16557e-02   1.14960e-02  -1.52477e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.234e-01 -1.390e-01 -9.895e-02 -5.678e-01 -1.194e-02 
- -1.390e-01  4.481e-01 -4.692e-01  1.277e+00  3.171e-02 
- -9.895e-02 -4.692e-01  2.877e+00 -1.630e+00 -4.248e-02 
- -5.678e-01  1.277e+00 -1.630e+00  6.089e+00  1.197e-01 
- -1.194e-02  3.171e-02 -4.248e-02  1.197e-01  2.834e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62474   1.000 -0.439 -0.123 -0.487 -0.474
-        2  0.89528  -0.439  1.000 -0.413  0.773  0.890
-        3  0.61443  -0.123 -0.413  1.000 -0.390 -0.470
-        4  0.91716  -0.487  0.773 -0.390  1.000  0.911
-        5  0.96008  -0.474  0.890 -0.470  0.911  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM HESSE     STATUS=OK             31 CALLS         334 TOTAL
-                     EDM=4.86529e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06510e+02   4.66252e-01   1.58828e-04   3.35643e-02
-   2  sg_p1        1.74543e+01   6.46362e-01   3.75994e-04  -3.75146e-01
-   3  sg_p2        5.99840e+02   1.69368e+00   3.65403e-04   3.37581e-01
-   4  sg_p3        3.49426e+01   2.38364e+00   7.80141e-05  -6.24005e-01
-   5  sg_p4        7.67921e-01   4.98421e-02   4.59842e-04  -5.79010e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.174e-01 -1.255e-01 -1.108e-01 -5.172e-01 -1.078e-02 
- -1.255e-01  4.180e-01 -4.460e-01  1.166e+00  2.921e-02 
- -1.108e-01 -4.460e-01  2.869e+00 -1.550e+00 -4.066e-02 
- -5.172e-01  1.166e+00 -1.550e+00  5.686e+00  1.105e-01 
- -1.078e-02  2.921e-02 -4.066e-02  1.105e-01  2.627e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61109   1.000 -0.416 -0.140 -0.465 -0.451
-        2  0.88728  -0.416  1.000 -0.407  0.756  0.881
-        3  0.61300  -0.140 -0.407  1.000 -0.384 -0.468
-        4  0.91100  -0.465  0.756 -0.384  1.000  0.904
-        5  0.95686  -0.451  0.881 -0.468  0.904  1.000
-600
-606.51 +- 0.466252
-17.4543 +- 0.646362
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22637.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.51042e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.38232e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.64920e+02
-   4  sg_p3        5.14784e+01   1.20000e+01  -3.13819e-01  -6.61183e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -2.02962e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM MIGRAD    STATUS=CONVERGED     257 CALLS         258 TOTAL
-                     EDM=0.000145317    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06503e+02   4.37713e-01   7.91387e-04   5.04043e-01
-   2  sg_p1        1.75196e+01   6.16845e-01   1.86865e-03   2.85731e-01
-   3  sg_p2        5.99868e+02   1.60326e+00   1.87702e-03   4.97177e-02
-   4  sg_p3        3.53013e+01   2.35156e+00   2.00555e-03  -3.27558e-01
-   5  sg_p4        7.72033e-01   4.73986e-02   1.10014e-02   3.49818e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.916e-01 -1.162e-01 -9.469e-02 -4.921e-01 -9.894e-03 
- -1.162e-01  3.807e-01 -3.958e-01  1.117e+00  2.658e-02 
- -9.469e-02 -3.958e-01  2.571e+00 -1.422e+00 -3.558e-02 
- -4.921e-01  1.117e+00 -1.422e+00  5.534e+00  1.039e-01 
- -9.894e-03  2.658e-02 -3.558e-02  1.039e-01  2.357e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61676   1.000 -0.430 -0.135 -0.478 -0.466
-        2  0.89248  -0.430  1.000 -0.400  0.769  0.887
-        3  0.60372  -0.135 -0.400  1.000 -0.377 -0.457
-        4  0.91576  -0.478  0.769 -0.377  1.000  0.910
-        5  0.95892  -0.466  0.887 -0.457  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM HESSE     STATUS=OK             31 CALLS         289 TOTAL
-                     EDM=0.000143345    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06503e+02   4.32589e-01   1.58277e-04   3.34012e-02
-   2  sg_p1        1.75196e+01   5.99409e-01   3.73730e-04  -3.70891e-01
-   3  sg_p2        5.99868e+02   1.60399e+00   3.75403e-04   3.37969e-01
-   4  sg_p3        3.53013e+01   2.28660e+00   4.01111e-04  -6.16657e-01
-   5  sg_p4        7.72033e-01   4.60130e-02   4.40057e-04  -5.46595e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.871e-01 -1.064e-01 -1.024e-01 -4.539e-01 -9.063e-03 
- -1.064e-01  3.595e-01 -3.824e-01  1.036e+00  2.483e-02 
- -1.024e-01 -3.824e-01  2.573e+00 -1.376e+00 -3.459e-02 
- -4.539e-01  1.036e+00 -1.376e+00  5.232e+00  9.734e-02 
- -9.063e-03  2.483e-02 -3.459e-02  9.734e-02  2.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60467   1.000 -0.410 -0.148 -0.459 -0.445
-        2  0.88572  -0.410  1.000 -0.398  0.756  0.880
-        3  0.60420  -0.148 -0.398  1.000 -0.375 -0.458
-        4  0.91066  -0.459  0.756 -0.375  1.000  0.904
-        5  0.95622  -0.445  0.880 -0.458  0.904  1.000
-600
-606.503 +- 0.432589
-17.5196 +- 0.599409
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 81 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 606.507 +- 0.449294 (stat) - 1.38396 + 1.4085 (syst); -1.40207/+1.4263 (total)
-   Uncertainty on sg_p1 = 17.4848 +- 0.623965 (stat) - 0.300472 + 0.248681 (syst); -0.433147/+0.398968 (total)
-   Uncertainty on sg_p2 = 599.858 +- 1.64758 (stat) - 0.389024 + 1.02722 (syst); -0.911028/+1.31674 (total)
-   Uncertainty on sg_p3 = 35.1205 +- 2.33871 (stat) - 1.20153 + 1.04536 (syst); -1.67663/+1.56849 (total)
-   Uncertainty on sg_p4 = 0.769875 +- 0.048015 (stat) - 0.0451018 + 0.0173244 (syst); -0.0510934/+0.0296057 (total) 
-   === Baseline plot === </br>
-   norm = 1712.99
-JEC     lnN   1.00275  -
-JER     lnN   1.01626  -
-btag    lnN   1.06714  -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out
deleted file mode 100644
index b3e9cba..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000542087  -0.000542087/+0.0173236  (68% CL)
-nll S+B -> -0.0637963  nll B -> -0.0632695
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out
deleted file mode 100644
index 31300ed..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/CMS_HH4b_600_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.035941:	q_mu = 3.88607	q_A  = 3.81314	CLsb = 0.02434	CLb  = 0.49255	CLs  = 0.04941
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0359
-Expected  2.5%: r < 0.0192
-Expected 16.0%: r < 0.0256
-Expected 50.0%: r < 0.0356
-Expected 84.0%: r < 0.0513
-Expected 97.5%: r < 0.0714
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt
deleted file mode 100644
index 49b85fb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/datacard_600_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1712.99 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06714    -
-JER       lnN     1.01626   - 
-JEC       lnN     1.00275   -
-trigger   lnN     1.10    -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/signal600_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/signal600_sig.log
deleted file mode 100644
index 3215894..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_600_novo_285_624/signal600_sig.log
+++ /dev/null
@@ -1,843 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24280 FROM MIGRAD    STATUS=INITIATE       43 CALLS          44 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.58677e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.18368e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.42384e+03
-   4  sg_p3        4.21820e+01   1.20000e+01  -4.82092e-01  -6.03718e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   7.69925e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM MIGRAD    STATUS=CONVERGED     442 CALLS         443 TOTAL
-                     EDM=3.37608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.88137e+02   2.17401e+00   1.57187e-03   5.45097e-02
-   2  sg_p1        2.90958e+01   6.86009e-01   3.13675e-03   7.79119e-02
-   3  sg_p2        5.59880e+02   5.00457e+00   1.98829e-03  -7.62283e-02
-   4  sg_p3        3.62716e+01   3.18321e+00   2.14823e-03   9.85100e-02
-   5  sg_p4        7.00002e-01   2.12576e-01   1.12952e-01   2.90847e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  4.731e+00 -1.030e+00 -9.979e+00 -6.388e+00 -2.483e-04 
- -1.030e+00  4.709e-01  2.213e+00  1.252e+00  1.258e-04 
- -9.979e+00  2.213e+00  2.508e+01  1.471e+01 -7.877e-04 
- -6.388e+00  1.252e+00  1.471e+01  1.015e+01  1.142e-06 
- -2.483e-04  1.258e-04 -7.877e-04  1.142e-06  1.239e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95782   1.000 -0.690 -0.916 -0.922 -0.103
-        2  0.73673  -0.690  1.000  0.644  0.573  0.165
-        3  0.96060  -0.916  0.644  1.000  0.922 -0.141
-        4  0.94775  -0.922  0.573  0.922  1.000  0.000
-        5  0.62405  -0.103  0.165 -0.141  0.000  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23075.2 FROM HESSE     STATUS=OK             35 CALLS         478 TOTAL
-                     EDM=0.000121989    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.88137e+02   3.29842e+00   3.14373e-04  -3.84102e-01
-   2  sg_p1        2.90958e+01   1.12225e+00   1.25470e-04   3.45999e-01
-   3  sg_p2        5.59880e+02   4.99521e+00   3.97658e-04  -2.02989e-01
-   4  sg_p3        3.62716e+01   3.76792e+00   8.59293e-05  -5.96971e-01
-   5  sg_p4        7.00002e-01   2.43034e-01   4.60846e-01  -1.56553e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.090e+01 -3.238e+00 -9.781e+00 -1.140e+01 -3.564e-03 
- -3.238e+00  1.262e+00  2.139e+00  3.042e+00  1.285e-03 
- -9.781e+00  2.139e+00  2.499e+01  1.455e+01 -2.935e-04 
- -1.140e+01  3.042e+00  1.455e+01  1.422e+01  2.841e-03 
- -3.564e-03  1.285e-03 -2.935e-04  2.841e-03  2.063e-06 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.98192   1.000 -0.873 -0.593 -0.915 -0.752
-        2  0.91068  -0.873  1.000  0.381  0.718  0.797
-        3  0.96045  -0.593  0.381  1.000  0.772 -0.041
-        4  0.96302  -0.915  0.718  0.772  1.000  0.524
-        5  0.96908  -0.752  0.797 -0.041  0.524  1.000
-600
-588.137 +- 3.29842
-29.0958 +- 1.12225
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23767.1 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.17349e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.02365e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.16298e+03
-   4  sg_p3        4.39845e+01   1.20000e+01  -4.48474e-01   4.93391e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   6.61691e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM MIGRAD    STATUS=CONVERGED     329 CALLS         330 TOTAL
-                     EDM=4.72305e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92012e+02   1.51134e+00   1.46358e-03   1.14647e-01
-   2  sg_p1        2.81327e+01   6.59039e-01   2.96171e-03  -1.30179e-01
-   3  sg_p2        5.58427e+02   3.47970e+00   1.93226e-03   6.71315e-02
-   4  sg_p3        3.58696e+01   2.45943e+00   2.12007e-03   3.27001e-02
-   5  sg_p4        7.00002e-01   6.59449e-02   8.47138e-02   5.69759e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.285e+00 -7.049e-01 -4.524e+00 -3.253e+00 -8.515e-05 
- -7.049e-01  4.346e-01  1.539e+00  9.868e-01  4.573e-05 
- -4.524e+00  1.539e+00  1.212e+01  7.552e+00 -3.909e-04 
- -3.253e+00  9.868e-01  7.552e+00  6.054e+00 -5.215e-05 
- -8.515e-05  4.573e-05 -3.909e-04 -5.215e-05  5.765e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91672   1.000 -0.707 -0.860 -0.875 -0.074
-        2  0.73205  -0.707  1.000  0.671  0.608  0.091
-        3  0.92123  -0.860  0.671  1.000  0.882 -0.148
-        4  0.91302  -0.875  0.608  0.882  1.000 -0.028
-        5  0.44297  -0.074  0.091 -0.148 -0.028  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22821.9 FROM HESSE     STATUS=OK             37 CALLS         367 TOTAL
-                     EDM=3.83352e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92012e+02   1.96656e+00   2.92716e-04  -2.92785e-01
-   2  sg_p1        2.81327e+01   8.71252e-01   5.92343e-04   2.84598e-01
-   3  sg_p2        5.58427e+02   3.77659e+00   3.86452e-04  -2.22807e-01
-   4  sg_p3        3.58696e+01   2.54070e+00   8.48026e-05  -6.05095e-01
-   5  sg_p4        7.00002e-01   1.87580e-01   5.00000e-01  -1.56561e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.870e+00 -1.423e+00 -2.748e+00 -4.031e+00 -1.028e-03 
- -1.423e+00  7.598e-01  7.297e-01  1.337e+00  4.676e-04 
- -2.748e+00  7.297e-01  1.428e+01  6.747e+00 -1.238e-03 
- -4.031e+00  1.337e+00  6.747e+00  6.461e+00  4.747e-04 
- -1.028e-03  4.676e-04 -1.238e-03  4.747e-04  6.718e-07 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.95171   1.000 -0.830 -0.370 -0.806 -0.637
-        2  0.85706  -0.830  1.000  0.222  0.604  0.654
-        3  0.93356  -0.370  0.222  1.000  0.703 -0.400
-        4  0.91874  -0.806  0.604  0.703  1.000  0.228
-        5  0.94267  -0.637  0.654 -0.400  0.228  1.000
-600
-592.012 +- 1.96656
-28.1327 +- 0.871252
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24394 FROM MIGRAD    STATUS=INITIATE       42 CALLS          43 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00   3.94278e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00  -1.29909e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00   1.67228e+03
-   4  sg_p3        4.09440e+01   1.20000e+01  -5.05526e-01  -7.57306e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00   8.58548e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM MIGRAD    STATUS=CONVERGED     638 CALLS         639 TOTAL
-                     EDM=8.42969e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.78603e+02   5.64911e-01   1.40473e-03   3.72907e-01
-   2  sg_p1        3.20881e+01   4.06669e-01   2.67756e-03   1.44036e-01
-   3  sg_p2        5.00002e+02   1.10618e+02   1.52750e-01  -2.88106e-03
-   4  sg_p3        6.94039e+01   2.89324e+01   3.44374e-02  -1.04731e-02
-   5  sg_p4        9.76772e-01   7.03168e-03   5.92623e-03  -8.42769e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.191e-01 -1.408e-02  3.587e-02 -7.029e+00  1.364e-04 
- -1.408e-02  1.654e-01 -3.289e-02 -2.769e+00  1.295e-03 
-  3.587e-02 -3.289e-02  6.513e-01 -1.947e+00 -1.609e-03 
- -7.029e+00 -2.769e+00 -1.947e+00  9.115e+02 -1.280e-01 
-  1.364e-04  1.295e-03 -1.609e-03 -1.280e-01  4.957e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.49930   1.000 -0.061  0.079 -0.412  0.034
-        2  0.46165  -0.061  1.000 -0.100 -0.225  0.452
-        3  0.43169   0.079 -0.100  1.000 -0.080 -0.283
-        4  0.75355  -0.412 -0.225 -0.080  1.000 -0.602
-        5  0.76469   0.034  0.452 -0.283 -0.602  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22933.1 FROM HESSE     STATUS=OK             35 CALLS         674 TOTAL
-                     EDM=8.36581e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.78603e+02   5.65787e-01   2.80946e-04  -6.26852e-01
-   2  sg_p1        3.20881e+01   4.25746e-01   5.35511e-04   5.47427e-01
-   3  sg_p2        5.00002e+02   9.83339e+01   5.00000e-01  -1.57791e+00
-   4  sg_p3        6.94039e+01   2.99669e+01   6.88747e-03  -9.93577e-03
-   5  sg_p4        9.76772e-01   9.53722e-03   1.18525e-03   1.00684e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.201e-01 -1.400e-02  1.487e-02 -7.254e+00  1.740e-04 
- -1.400e-02  1.813e-01 -8.069e-02 -3.550e+00  2.110e-03 
-  1.487e-02 -8.069e-02  3.935e-01  2.133e+00 -4.095e-03 
- -7.254e+00 -3.550e+00  2.133e+00  9.846e+02 -1.706e-01 
-  1.740e-04  2.110e-03 -4.095e-03 -1.706e-01  9.139e-05 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.50162   1.000 -0.058  0.042 -0.409  0.032
-        2  0.53111  -0.058  1.000 -0.302 -0.266  0.518
-        3  0.77391   0.042 -0.302  1.000  0.108 -0.683
-        4  0.77455  -0.409 -0.266  0.108  1.000 -0.569
-        5  0.88021   0.032  0.518 -0.683 -0.569  1.000
-600
-578.603 +- 0.565787
-32.0881 +- 0.425746
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21188 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10915e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.89680e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.48216e+02
-   4  sg_p3        5.20622e+01   1.20000e+01  -3.03606e-01   1.51172e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.90966e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM MIGRAD    STATUS=CONVERGED     266 CALLS         267 TOTAL
-                     EDM=3.97173e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06507e+02   4.54842e-01   7.93051e-04   2.28694e-01
-   2  sg_p1        1.74848e+01   6.42892e-01   1.87527e-03  -5.26219e-03
-   3  sg_p2        5.99858e+02   1.64781e+00   1.84882e-03   3.91300e-02
-   4  sg_p3        3.51205e+01   2.40944e+00   1.97487e-03  -2.11296e-02
-   5  sg_p4        7.69875e-01   4.95303e-02   1.12811e-02   5.41517e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.069e-01 -1.274e-01 -9.667e-02 -5.293e-01 -1.089e-02 
- -1.274e-01  4.136e-01 -4.310e-01  1.196e+00  2.909e-02 
- -9.667e-02 -4.310e-01  2.716e+00 -1.523e+00 -3.888e-02 
- -5.293e-01  1.196e+00 -1.523e+00  5.810e+00  1.117e-01 
- -1.089e-02  2.909e-02 -3.888e-02  1.117e-01  2.589e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62100   1.000 -0.435 -0.129 -0.483 -0.470
-        2  0.89410  -0.435  1.000 -0.407  0.772  0.889
-        3  0.60904  -0.129 -0.407  1.000 -0.383 -0.464
-        4  0.91664  -0.483  0.772 -0.383  1.000  0.910
-        5  0.95959  -0.470  0.889 -0.464  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20995.9 FROM HESSE     STATUS=OK             31 CALLS         298 TOTAL
-                     EDM=3.94319e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06507e+02   4.49294e-01   1.58610e-04   3.34861e-02
-   2  sg_p1        1.74848e+01   6.23965e-01   7.50107e-05  -3.73160e-01
-   3  sg_p2        5.99858e+02   1.64758e+00   3.69764e-04   3.37830e-01
-   4  sg_p3        3.51205e+01   2.33871e+00   7.89949e-05  -6.20356e-01
-   5  sg_p4        7.69875e-01   4.80150e-02   4.51245e-04  -5.63520e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.019e-01 -1.162e-01 -1.057e-01 -4.868e-01 -9.943e-03 
- -1.162e-01  3.895e-01 -4.147e-01  1.106e+00  2.709e-02 
- -1.057e-01 -4.147e-01  2.715e+00 -1.465e+00 -3.762e-02 
- -4.868e-01  1.106e+00 -1.465e+00  5.474e+00  1.042e-01 
- -9.943e-03  2.709e-02 -3.762e-02  1.042e-01  2.425e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60859   1.000 -0.414 -0.143 -0.463 -0.449
-        2  0.88716  -0.414  1.000 -0.403  0.757  0.881
-        3  0.60890  -0.143 -0.403  1.000 -0.380 -0.464
-        4  0.91127  -0.463  0.757 -0.380  1.000  0.905
-        5  0.95679  -0.449  0.881 -0.464  0.905  1.000
-600
-606.507 +- 0.449294
-17.4848 +- 0.623965
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20985 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -6.03053e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01   7.30191e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.66899e+01
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.40682e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01  -1.90294e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM MIGRAD    STATUS=CONVERGED     278 CALLS         279 TOTAL
-                     EDM=1.57711e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07915e+02   5.09392e-01   8.36892e-04  -1.25909e-01
-   2  sg_p1        1.72285e+01   7.70692e-01   2.00532e-03  -9.85888e-02
-   3  sg_p2        6.00885e+02   1.55983e+00   1.61488e-03   1.97987e-02
-   4  sg_p3        3.39190e+01   2.23203e+00   1.72499e-03  -5.63339e-02
-   5  sg_p4        7.24773e-01   5.61261e-02   1.85033e-02   4.35514e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.595e-01 -1.965e-01 -2.282e-02 -6.210e-01 -1.671e-02 
- -1.965e-01  5.945e-01 -6.118e-01  1.389e+00  4.341e-02 
- -2.282e-02 -6.118e-01  2.433e+00 -1.664e+00 -5.404e-02 
- -6.210e-01  1.389e+00 -1.664e+00  4.986e+00  1.270e-01 
- -1.671e-02  4.341e-02 -5.404e-02  1.270e-01  3.808e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.67158   1.000 -0.500 -0.029 -0.546 -0.531
-        2  0.91709  -0.500  1.000 -0.509  0.807  0.912
-        3  0.68224  -0.029 -0.509  1.000 -0.478 -0.561
-        4  0.92836  -0.546  0.807 -0.478  1.000  0.922
-        5  0.96819  -0.531  0.912 -0.561  0.922  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20801.6 FROM HESSE     STATUS=OK             31 CALLS         310 TOTAL
-                     EDM=1.26117e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07915e+02   4.85233e-01   1.67378e-04   6.48251e-02
-   2  sg_p1        1.72285e+01   6.67550e-01   4.01065e-04  -3.89892e-01
-   3  sg_p2        6.00885e+02   1.49623e+00   3.22976e-04   3.52384e-01
-   4  sg_p3        3.39190e+01   1.92936e+00   6.89997e-05  -6.45190e-01
-   5  sg_p4        7.24773e-01   4.89776e-02   7.40132e-04  -9.87850e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.355e-01 -1.368e-01 -9.181e-02 -4.464e-01 -1.164e-02 
- -1.368e-01  4.459e-01 -4.412e-01  9.559e-01  3.085e-02 
- -9.181e-02 -4.412e-01  2.239e+00 -1.168e+00 -3.968e-02 
- -4.464e-01  9.559e-01 -1.168e+00  3.724e+00  9.043e-02 
- -1.164e-02  3.085e-02 -3.968e-02  9.043e-02  2.749e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62849   1.000 -0.422 -0.126 -0.477 -0.457
-        2  0.88775  -0.422  1.000 -0.442  0.742  0.881
-        3  0.64733  -0.126 -0.442  1.000 -0.405 -0.506
-        4  0.90281  -0.477  0.742 -0.405  1.000  0.894
-        5  0.95565  -0.457  0.881 -0.506  0.894  1.000
-600
-607.915 +- 0.485233
-17.2285 +- 0.66755
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21050.7 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -2.45953e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.88326e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.88080e+02
-   4  sg_p3        4.00581e+01   1.20000e+01   8.28277e-02  -3.70864e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79687e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM MIGRAD    STATUS=CONVERGED     330 CALLS         331 TOTAL
-                     EDM=4.39005e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05123e+02   4.29424e-01   7.69738e-04   2.63328e-01
-   2  sg_p1        1.74149e+01   6.34617e-01   1.82227e-03  -3.70681e-04
-   3  sg_p2        5.99738e+02   1.64211e+00   1.95138e-03   3.85233e-02
-   4  sg_p3        3.56367e+01   2.67089e+00   2.08773e-03   1.43347e-02
-   5  sg_p4        7.87200e-01   4.88787e-02   1.01395e-02   6.65902e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.844e-01 -1.102e-01 -1.471e-01 -5.033e-01 -9.306e-03 
- -1.102e-01  4.030e-01 -3.214e-01  1.334e+00  2.833e-02 
- -1.471e-01 -3.214e-01  2.697e+00 -1.302e+00 -2.911e-02 
- -5.033e-01  1.334e+00 -1.302e+00  7.141e+00  1.227e-01 
- -9.306e-03  2.833e-02 -2.911e-02  1.227e-01  2.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.58762   1.000 -0.404 -0.209 -0.439 -0.433
-        2  0.89717  -0.404  1.000 -0.308  0.786  0.893
-        3  0.53678  -0.209 -0.308  1.000 -0.297 -0.355
-        4  0.92270  -0.439  0.786 -0.297  1.000  0.918
-        5  0.96074  -0.433  0.893 -0.355  0.918  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20847.8 FROM HESSE     STATUS=OK             31 CALLS         362 TOTAL
-                     EDM=4.37345e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.05123e+02   4.25719e-01   1.53948e-04   2.72521e-03
-   2  sg_p1        1.74149e+01   6.21639e-01   7.28909e-05  -3.77714e-01
-   3  sg_p2        5.99738e+02   1.64785e+00   3.90277e-04   3.36136e-01
-   4  sg_p3        3.56367e+01   2.61918e+00   8.35094e-05  -6.09822e-01
-   5  sg_p4        7.87200e-01   4.78840e-02   4.05579e-04  -4.31980e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.812e-01 -1.028e-01 -1.491e-01 -4.715e-01 -8.683e-03 
- -1.028e-01  3.866e-01 -3.221e-01  1.267e+00  2.701e-02 
- -1.491e-01 -3.221e-01  2.716e+00 -1.312e+00 -2.930e-02 
- -4.715e-01  1.267e+00 -1.312e+00  6.867e+00  1.173e-01 
- -8.683e-03  2.701e-02 -2.930e-02  1.173e-01  2.394e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.57780   1.000 -0.388 -0.212 -0.423 -0.417
-        2  0.89257  -0.388  1.000 -0.314  0.777  0.888
-        3  0.54137  -0.212 -0.314  1.000 -0.304 -0.363
-        4  0.91948  -0.423  0.777 -0.304  1.000  0.915
-        5  0.95897  -0.417  0.888 -0.363  0.915  1.000
-600
-605.123 +- 0.425719
-17.4149 +- 0.621639
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20832.1 FROM MIGRAD    STATUS=INITIATE       35 CALLS          36 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.10122e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.39759e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.41911e+02
-   4  sg_p3        5.22092e+01   1.20000e+01  -3.01040e-01  -3.82741e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.79614e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=2.70998e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06501e+02   4.51807e-01   7.97409e-04  -7.03207e-02
-   2  sg_p1        1.77334e+01   6.52405e-01   1.87706e-03  -1.65059e-02
-   3  sg_p2        5.99469e+02   1.79002e+00   1.94437e-03  -5.75168e-02
-   4  sg_p3        3.61659e+01   2.58390e+00   2.08852e-03   2.55527e-02
-   5  sg_p4        7.77016e-01   4.86366e-02   1.06632e-02  -1.67483e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.041e-01 -1.198e-01 -9.305e-02 -5.364e-01 -9.937e-03 
- -1.198e-01  4.259e-01 -5.231e-01  1.301e+00  2.891e-02 
- -9.305e-02 -5.231e-01  3.205e+00 -1.947e+00 -4.507e-02 
- -5.364e-01  1.301e+00 -1.947e+00  6.683e+00  1.171e-01 
- -9.937e-03  2.891e-02 -4.507e-02  1.171e-01  2.483e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60028   1.000 -0.406 -0.115 -0.459 -0.441
-        2  0.89400  -0.406  1.000 -0.448  0.771  0.889
-        3  0.63123  -0.115 -0.448  1.000 -0.421 -0.505
-        4  0.91499  -0.459  0.771 -0.421  1.000  0.909
-        5  0.95914  -0.441  0.889 -0.505  0.909  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20660.5 FROM HESSE     STATUS=OK             31 CALLS         280 TOTAL
-                     EDM=2.68748e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06501e+02   4.47624e-01   1.59482e-04   3.33576e-02
-   2  sg_p1        1.77334e+01   6.37778e-01   7.50826e-05  -3.57025e-01
-   3  sg_p2        5.99469e+02   1.79219e+00   3.88875e-04   3.32337e-01
-   4  sg_p3        3.61659e+01   2.52790e+00   8.35409e-05  -5.99103e-01
-   5  sg_p4        7.77016e-01   4.75332e-02   4.26528e-04  -5.08149e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.004e-01 -1.112e-01 -1.007e-01 -5.017e-01 -9.233e-03 
- -1.112e-01  4.070e-01 -5.109e-01  1.227e+00  2.742e-02 
- -1.007e-01 -5.109e-01  3.213e+00 -1.905e+00 -4.423e-02 
- -5.017e-01  1.227e+00 -1.905e+00  6.396e+00  1.113e-01 
- -9.233e-03  2.742e-02 -4.423e-02  1.113e-01  2.366e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.59019   1.000 -0.389 -0.126 -0.443 -0.424
-        2  0.88878  -0.389  1.000 -0.447  0.760  0.884
-        3  0.63238  -0.126 -0.447  1.000 -0.420 -0.507
-        4  0.91099  -0.443  0.760 -0.420  1.000  0.904
-        5  0.95708  -0.424  0.884 -0.507  0.904  1.000
-600
-606.501 +- 0.447624
-17.7334 +- 0.637778
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=21392 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.65951e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.31252e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -2.10216e+02
-   4  sg_p3        4.66234e+01   1.20000e+01  -4.00208e-01  -5.49343e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.97937e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM MIGRAD    STATUS=CONVERGED     269 CALLS         270 TOTAL
-                     EDM=8.82705e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06547e+02   4.53645e-01   7.81411e-04  -3.17610e-01
-   2  sg_p1        1.71843e+01   6.39064e-01   1.86421e-03  -1.15499e-01
-   3  sg_p2        5.99736e+02   1.60177e+00   1.78744e-03  -2.73906e-01
-   4  sg_p3        3.43642e+01   2.28667e+00   1.90587e-03  -2.99641e-02
-   5  sg_p4        7.67062e-01   4.97568e-02   1.14541e-02   2.14855e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.058e-01 -1.334e-01 -7.609e-02 -5.233e-01 -1.147e-02 
- -1.334e-01  4.086e-01 -4.283e-01  1.132e+00  2.917e-02 
- -7.609e-02 -4.283e-01  2.566e+00 -1.449e+00 -3.913e-02 
- -5.233e-01  1.132e+00 -1.449e+00  5.233e+00  1.065e-01 
- -1.147e-02  2.917e-02 -3.913e-02  1.065e-01  2.619e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.63674   1.000 -0.460 -0.105 -0.504 -0.494
-        2  0.89676  -0.460  1.000 -0.418  0.774  0.892
-        3  0.61833  -0.105 -0.418  1.000 -0.395 -0.477
-        4  0.91625  -0.504  0.774 -0.395  1.000  0.910
-        5  0.96016  -0.494  0.892 -0.477  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=21176.8 FROM HESSE     STATUS=OK             31 CALLS         301 TOTAL
-                     EDM=8.5019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06547e+02   4.46977e-01   1.56282e-04   3.43777e-02
-   2  sg_p1        1.71843e+01   6.16688e-01   3.72843e-04  -3.92793e-01
-   3  sg_p2        5.99736e+02   1.59872e+00   3.57489e-04   3.36110e-01
-   4  sg_p3        3.43642e+01   2.20755e+00   7.62346e-05  -6.35935e-01
-   5  sg_p4        7.67062e-01   4.79510e-02   4.58166e-04  -5.85865e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.998e-01 -1.203e-01 -8.781e-02 -4.759e-01 -1.035e-02 
- -1.203e-01  3.805e-01 -4.057e-01  1.032e+00  2.680e-02 
- -8.781e-02 -4.057e-01  2.556e+00 -1.372e+00 -3.733e-02 
- -4.759e-01  1.032e+00 -1.372e+00  4.877e+00  9.814e-02 
- -1.035e-02  2.680e-02 -3.733e-02  9.814e-02  2.422e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62255   1.000 -0.436 -0.123 -0.482 -0.470
-        2  0.88865  -0.436  1.000 -0.411  0.757  0.883
-        3  0.61643  -0.123 -0.411  1.000 -0.389 -0.474
-        4  0.90983  -0.482  0.757 -0.389  1.000  0.903
-        5  0.95684  -0.470  0.883 -0.474  0.903  1.000
-600
-606.547 +- 0.446977
-17.1843 +- 0.616688
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19809.1 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -3.98661e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   7.36177e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.54710e+02
-   4  sg_p3        5.02879e+01   1.20000e+01  -3.34752e-01   5.32152e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.78206e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM MIGRAD    STATUS=CONVERGED     302 CALLS         303 TOTAL
-                     EDM=4.9436e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06510e+02   4.72659e-01   7.94140e-04   3.55653e-02
-   2  sg_p1        1.74543e+01   6.69157e-01   1.87997e-03   6.61865e-02
-   3  sg_p2        5.99840e+02   1.69608e+00   1.82702e-03  -5.88858e-02
-   4  sg_p3        3.49426e+01   2.46655e+00   1.95035e-03   5.14767e-02
-   5  sg_p4        7.67921e-01   5.16557e-02   1.14960e-02  -1.52477e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.234e-01 -1.390e-01 -9.895e-02 -5.678e-01 -1.194e-02 
- -1.390e-01  4.481e-01 -4.692e-01  1.277e+00  3.171e-02 
- -9.895e-02 -4.692e-01  2.877e+00 -1.630e+00 -4.248e-02 
- -5.678e-01  1.277e+00 -1.630e+00  6.089e+00  1.197e-01 
- -1.194e-02  3.171e-02 -4.248e-02  1.197e-01  2.834e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.62474   1.000 -0.439 -0.123 -0.487 -0.474
-        2  0.89528  -0.439  1.000 -0.413  0.773  0.890
-        3  0.61443  -0.123 -0.413  1.000 -0.390 -0.470
-        4  0.91716  -0.487  0.773 -0.390  1.000  0.911
-        5  0.96008  -0.474  0.890 -0.470  0.911  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19628.4 FROM HESSE     STATUS=OK             31 CALLS         334 TOTAL
-                     EDM=4.86529e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06510e+02   4.66252e-01   1.58828e-04   3.35643e-02
-   2  sg_p1        1.74543e+01   6.46362e-01   3.75994e-04  -3.75146e-01
-   3  sg_p2        5.99840e+02   1.69368e+00   3.65403e-04   3.37581e-01
-   4  sg_p3        3.49426e+01   2.38364e+00   7.80141e-05  -6.24005e-01
-   5  sg_p4        7.67921e-01   4.98421e-02   4.59842e-04  -5.79010e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.174e-01 -1.255e-01 -1.108e-01 -5.172e-01 -1.078e-02 
- -1.255e-01  4.180e-01 -4.460e-01  1.166e+00  2.921e-02 
- -1.108e-01 -4.460e-01  2.869e+00 -1.550e+00 -4.066e-02 
- -5.172e-01  1.166e+00 -1.550e+00  5.686e+00  1.105e-01 
- -1.078e-02  2.921e-02 -4.066e-02  1.105e-01  2.627e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61109   1.000 -0.416 -0.140 -0.465 -0.451
-        2  0.88728  -0.416  1.000 -0.407  0.756  0.881
-        3  0.61300  -0.140 -0.407  1.000 -0.384 -0.468
-        4  0.91100  -0.465  0.756 -0.384  1.000  0.904
-        5  0.95686  -0.451  0.881 -0.468  0.904  1.000
-600
-606.51 +- 0.466252
-17.4543 +- 0.646362
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=22637.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   0.00000e+00  -4.51042e+02
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   8.38232e+02
-   3  sg_p2        5.75000e+02   1.50000e+01   0.00000e+00  -1.64920e+02
-   4  sg_p3        5.14784e+01   1.20000e+01  -3.13819e-01  -6.61183e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -2.02962e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM MIGRAD    STATUS=CONVERGED     257 CALLS         258 TOTAL
-                     EDM=0.000145317    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.06503e+02   4.37713e-01   7.91387e-04   5.04043e-01
-   2  sg_p1        1.75196e+01   6.16845e-01   1.86865e-03   2.85731e-01
-   3  sg_p2        5.99868e+02   1.60326e+00   1.87702e-03   4.97177e-02
-   4  sg_p3        3.53013e+01   2.35156e+00   2.00555e-03  -3.27558e-01
-   5  sg_p4        7.72033e-01   4.73986e-02   1.10014e-02   3.49818e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.916e-01 -1.162e-01 -9.469e-02 -4.921e-01 -9.894e-03 
- -1.162e-01  3.807e-01 -3.958e-01  1.117e+00  2.658e-02 
- -9.469e-02 -3.958e-01  2.571e+00 -1.422e+00 -3.558e-02 
- -4.921e-01  1.117e+00 -1.422e+00  5.534e+00  1.039e-01 
- -9.894e-03  2.658e-02 -3.558e-02  1.039e-01  2.357e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.61676   1.000 -0.430 -0.135 -0.478 -0.466
-        2  0.89248  -0.430  1.000 -0.400  0.769  0.887
-        3  0.60372  -0.135 -0.400  1.000 -0.377 -0.457
-        4  0.91576  -0.478  0.769 -0.377  1.000  0.910
-        5  0.95892  -0.466  0.887 -0.457  0.910  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=22433.8 FROM HESSE     STATUS=OK             31 CALLS         289 TOTAL
-                     EDM=0.000143345    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.06503e+02   4.32589e-01   1.58277e-04   3.34012e-02
-   2  sg_p1        1.75196e+01   5.99409e-01   3.73730e-04  -3.70891e-01
-   3  sg_p2        5.99868e+02   1.60399e+00   3.75403e-04   3.37969e-01
-   4  sg_p3        3.53013e+01   2.28660e+00   4.01111e-04  -6.16657e-01
-   5  sg_p4        7.72033e-01   4.60130e-02   4.40057e-04  -5.46595e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.871e-01 -1.064e-01 -1.024e-01 -4.539e-01 -9.063e-03 
- -1.064e-01  3.595e-01 -3.824e-01  1.036e+00  2.483e-02 
- -1.024e-01 -3.824e-01  2.573e+00 -1.376e+00 -3.459e-02 
- -4.539e-01  1.036e+00 -1.376e+00  5.232e+00  9.734e-02 
- -9.063e-03  2.483e-02 -3.459e-02  9.734e-02  2.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.60467   1.000 -0.410 -0.148 -0.459 -0.445
-        2  0.88572  -0.410  1.000 -0.398  0.756  0.880
-        3  0.60420  -0.148 -0.398  1.000 -0.375 -0.458
-        4  0.91066  -0.459  0.756 -0.375  1.000  0.904
-        5  0.95622  -0.445  0.880 -0.458  0.904  1.000
-600
-606.503 +- 0.432589
-17.5196 +- 0.599409
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 81 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 606.507 +- 0.449294 (stat) - 1.38396 + 1.4085 (syst); -1.40207/+1.4263 (total)
-   Uncertainty on sg_p1 = 17.4848 +- 0.623965 (stat) - 0.300472 + 0.248681 (syst); -0.433147/+0.398968 (total)
-   Uncertainty on sg_p2 = 599.858 +- 1.64758 (stat) - 0.389024 + 1.02722 (syst); -0.911028/+1.31674 (total)
-   Uncertainty on sg_p3 = 35.1205 +- 2.33871 (stat) - 1.20153 + 1.04536 (syst); -1.67663/+1.56849 (total)
-   Uncertainty on sg_p4 = 0.769875 +- 0.048015 (stat) - 0.0451018 + 0.0173244 (syst); -0.0510934/+0.0296057 (total) 
-   === Baseline plot === </br>
-   norm = 1712.99
-JEC     lnN   1.00275  -
-JER     lnN   1.01626  -
-btag    lnN   1.06714  -
-sg_p0   param   606.507 -1.40207/+1.4263
-sg_p1   param   17.4848 -0.433147/+0.398968
-sg_p2   param   599.858  -0.911028/+1.31674
-sg_p3   param   35.1205  -1.67663/+1.56849
-sg_p4   param   0.769875  -0.0510934/+0.0296057 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out
deleted file mode 100644
index 14e2d5a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.040
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 2.00725e-08  -2.00725e-08/+0.00920933  (68% CL)
-nll S+B -> -0.00503627  nll B -> -0.00503627
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out
deleted file mode 100644
index c64e15f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.019276:	q_mu = 3.79257	q_A  = 3.79874	CLsb = 0.02574	CLb  = 0.50063	CLs  = 0.05142
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0193
-Expected  2.5%: r < 0.0098
-Expected 16.0%: r < 0.0136
-Expected 50.0%: r < 0.0190
-Expected 84.0%: r < 0.0285
-Expected 97.5%: r < 0.0400
-
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt
deleted file mode 100644
index a16d92d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/datacard_650_crystal_1_285_624.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_285_624.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_285_624.root      HbbHbb:data_obs_crystal_1_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1859.61 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06919    -
-JER       lnN     1.01327   - 
-JEC       lnN     1.0047   -
-trigger   lnN     1.10    -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/signal650_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/signal650_sig.log
deleted file mode 100644
index 1f5e75e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_crystal_1_285_624/signal650_sig.log
+++ /dev/null
@@ -1,883 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13508.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.87056e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.46321e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.56470e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.42658e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.11139e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM MIGRAD    STATUS=CONVERGED     597 CALLS         598 TOTAL
-                     EDM=4.72558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.31550e+02   1.07438e+00   1.68730e-03  -2.23582e-01
-   2  sg_p1        3.53137e+01   1.11870e+00   4.47963e-03   6.27366e-02
-   3  sg_p2        5.77635e+02   4.62466e+01   1.24400e-02   1.02159e-02
-   4  sg_p3        6.47572e+01   2.35273e+01   1.70525e-02  -3.15130e-03
-   5  sg_p4        9.66896e-01   3.39852e-02   6.34455e-03  -3.92355e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.155e+00 -4.604e-01 -1.111e+01  1.243e+01 -1.676e-02 
- -4.604e-01  1.255e+00  2.645e+01 -9.584e+00  2.747e-02 
- -1.111e+01  2.645e+01  2.484e+03  4.016e+02  1.548e+00 
-  1.243e+01 -9.584e+00  4.016e+02  5.848e+02 -3.604e-02 
- -1.676e-02  2.747e-02  1.548e+00 -3.604e-02  1.209e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66627   1.000 -0.382 -0.207  0.478 -0.449
-        2  0.79846  -0.382  1.000  0.474 -0.354  0.705
-        3  0.96990  -0.207  0.474  1.000  0.333  0.893
-        4  0.84189   0.478 -0.354  0.333  1.000 -0.043
-        5  0.97425  -0.449  0.705  0.893 -0.043  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM HESSE     STATUS=OK             31 CALLS         629 TOTAL
-                     EDM=4.61535e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.31550e+02   1.06668e+00   3.37461e-04   6.31053e-01
-   2  sg_p1        3.53137e+01   1.12240e+00   1.79185e-04   7.98026e-01
-   3  sg_p2        5.77635e+02   4.57102e+01   2.48799e-03   3.10645e+00
-   4  sg_p3        6.47572e+01   2.27278e+01   6.82099e-04   3.22908e+00
-   5  sg_p4        9.66896e-01   3.40601e-02   1.26891e-03   8.93554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.138e+00 -4.570e-01 -1.213e+01  1.173e+01 -1.703e-02 
- -4.570e-01  1.264e+00  2.725e+01 -9.434e+00  2.793e-02 
- -1.213e+01  2.725e+01  2.417e+03  3.349e+02  1.539e+00 
-  1.173e+01 -9.434e+00  3.349e+02  5.436e+02 -5.744e-02 
- -1.703e-02  2.793e-02  1.539e+00 -5.744e-02  1.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66019   1.000 -0.381 -0.231  0.472 -0.458
-        2  0.79995  -0.381  1.000  0.493 -0.360  0.713
-        3  0.96905  -0.231  0.493  1.000  0.292  0.898
-        4  0.82847   0.472 -0.360  0.292  1.000 -0.071
-        5  0.97437  -0.458  0.713  0.898 -0.071  1.000
-650
-631.55 +- 1.06668
-35.3137 +- 1.1224
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13608.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -3.05846e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.60421e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -6.11096e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.92754e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.53615e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM MIGRAD    STATUS=CONVERGED     366 CALLS         367 TOTAL
-                     EDM=4.73777e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.34937e+02   1.20416e+00   1.88745e-03   1.06307e-02
-   2  sg_p1        3.54255e+01   1.33397e+00   4.75405e-03  -6.42739e-03
-   3  sg_p2        5.82190e+02   3.67116e+01   1.00364e-02   4.55135e-03
-   4  sg_p3        6.30056e+01   1.66588e+01   1.25710e-02   4.37361e-03
-   5  sg_p4        9.54564e-01   4.17481e-02   6.34242e-03   8.71212e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.451e+00 -7.734e-01 -1.793e+01 -1.063e+01 -3.042e-02 
- -7.734e-01  1.788e+00  3.000e+01  1.060e+01  4.484e-02 
- -1.793e+01  3.000e+01  1.473e+03 -4.482e+01  1.490e+00 
- -1.063e+01  1.060e+01 -4.482e+01  2.851e+02  1.993e-01 
- -3.042e-02  4.484e-02  1.490e+00  1.993e-01  1.838e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.72232   1.000 -0.480 -0.388 -0.523 -0.589
-        2  0.84648  -0.480  1.000  0.585  0.469  0.782
-        3  0.96726  -0.388  0.585  1.000 -0.069  0.905
-        4  0.81721  -0.523  0.469 -0.069  1.000  0.275
-        5  0.97806  -0.589  0.782  0.905  0.275  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM HESSE     STATUS=OK             31 CALLS         398 TOTAL
-                     EDM=4.49878e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.34937e+02   1.17331e+00   7.54981e-05   7.27855e-01
-   2  sg_p1        3.54255e+01   1.28807e+00   1.90162e-04   8.07781e-01
-   3  sg_p2        5.82190e+02   3.82291e+01   2.00727e-03   3.04558e+00
-   4  sg_p3        6.30056e+01   1.76697e+01   5.02840e-04  -1.16840e-01
-   5  sg_p4        9.54564e-01   4.07959e-02   2.53697e-04   7.71340e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.377e+00 -6.709e-01 -1.351e+01 -1.025e+01 -2.563e-02 
- -6.709e-01  1.666e+00  2.684e+01  9.073e+00  4.040e-02 
- -1.351e+01  2.684e+01  1.611e+03 -1.944e+02  1.503e+00 
- -1.025e+01  9.073e+00 -1.944e+02  3.218e+02  7.926e-02 
- -2.563e-02  4.040e-02  1.503e+00  7.926e-02  1.751e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.70445   1.000 -0.443 -0.287 -0.487 -0.522
-        2  0.83419  -0.443  1.000  0.518  0.392  0.748
-        3  0.97010  -0.287  0.518  1.000 -0.270  0.895
-        4  0.84000  -0.487  0.392 -0.270  1.000  0.106
-        5  0.97695  -0.522  0.748  0.895  0.106  1.000
-650
-634.937 +- 1.17331
-35.4255 +- 1.28807
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13336.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.61029e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.30706e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -4.94508e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -2.82439e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   1.69237e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.26189 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -3.9054e-01  1.0008e+00  1.0126e+00  1.3098e+00  2.0673e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.392608 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM MIGRAD    STATUS=CONVERGED     434 CALLS         435 TOTAL
-                     EDM=9.27116e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.29363e+02   1.94289e+00   1.61110e-03  -6.12714e-02
-   2  sg_p1        3.39915e+01   1.39941e+00   4.02767e-03   1.41131e-02
-   3  sg_p2        5.86998e+02   3.80498e+01   5.91384e-03   1.10012e-02
-   4  sg_p3        4.52433e+01   9.31868e+00   5.76920e-03   6.15069e-03
-   5  sg_p4        9.32822e-01   8.73169e-02   7.58377e-03  -1.49983e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.778e+00 -2.106e+00 -5.004e+01 -2.088e+00 -1.541e-01 
- -2.106e+00  1.966e+00  3.539e+01  6.357e-01  1.083e-01 
- -5.004e+01  3.539e+01  1.597e+03 -2.131e+02  3.640e+00 
- -2.088e+00  6.357e-01 -2.131e+02  8.769e+01 -2.781e-01 
- -1.541e-01  1.083e-01  3.640e+00 -2.781e-01  9.342e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91269   1.000 -0.773 -0.644 -0.115 -0.820
-        2  0.87908  -0.773  1.000  0.631  0.048  0.799
-        3  0.98973  -0.644  0.631  1.000 -0.569  0.942
-        4  0.89773  -0.115  0.048 -0.569  1.000 -0.307
-        5  0.99185  -0.820  0.799  0.942 -0.307  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM HESSE     STATUS=OK             31 CALLS         466 TOTAL
-                     EDM=1.05015e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.29363e+02   1.77740e+00   3.22219e-04   5.72091e-01
-   2  sg_p1        3.39915e+01   1.30671e+00   1.61107e-04   6.89109e-01
-   3  sg_p2        5.86998e+02   4.00071e+01   2.36554e-04   2.98093e+00
-   4  sg_p3        4.52433e+01   1.08302e+01   2.30768e-04  -4.25319e-01
-   5  sg_p4        9.32822e-01   8.54732e-02   1.51675e-03   5.84938e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.161e+00 -1.710e+00 -4.134e+01 -1.168e+00 -1.264e-01 
- -1.710e+00  1.714e+00  3.071e+01 -2.615e-01  9.187e-02 
- -4.134e+01  3.071e+01  1.786e+03 -3.269e+02  3.736e+00 
- -1.168e+00 -2.615e-01 -3.269e+02  1.189e+02 -4.766e-01 
- -1.264e-01  9.187e-02  3.736e+00 -4.766e-01  8.856e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.89467   1.000 -0.735 -0.550 -0.060 -0.756
-        2  0.85981  -0.735  1.000  0.555 -0.018  0.746
-        3  0.99083  -0.550  0.555  1.000 -0.709  0.939
-        4  0.92564  -0.060 -0.018 -0.709  1.000 -0.465
-        5  0.99140  -0.756  0.746  0.939 -0.465  1.000
-650
-629.363 +- 1.7774
-33.9915 +- 1.30671
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11100.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49976e+02   9.00000e+00   0.00000e+00  -3.31148e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.41635e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.52712e-01
-   4  sg_p3        4.45955e+01   1.20000e+01  -4.37204e-01  -1.45659e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.61763e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.42251e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.89844e-02   2.11173e-03** at limit **
-   2  sg_p1        2.19547e+01   6.26260e-01   1.90248e-03  -1.39894e-01
-   3  sg_p2        6.50000e+02   1.12485e+00   1.24593e-02** at limit **
-   4  sg_p3        5.35044e+01   7.53715e+00   5.15003e-03  -5.48748e-02
-   5  sg_p4        9.02474e-01   3.44307e-02   8.35217e-03   4.98005e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  1.398e-08 -1.474e-12 -5.092e-09  1.406e-10 
-  1.398e-08  3.924e-01  9.759e-05  2.732e+00  1.581e-02 
- -1.474e-12  9.759e-05  5.173e-05  1.252e-03  7.811e-06 
- -5.092e-09  2.732e+00  1.252e-03  5.713e+01  2.196e-01 
-  1.406e-10  1.581e-02  7.811e-06  2.196e-01  1.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00112   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72732   0.001  1.000  0.022  0.577  0.725
-        3  0.03176  -0.000  0.022  1.000  0.023  0.031
-        4  0.83627  -0.000  0.577  0.023  1.000  0.835
-        5  0.88688   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.36793e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.89845e-02   4.22346e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19547e+01   6.28139e-01   3.80496e-04  -9.37931e-02
-   3  sg_p2        6.50000e+02   1.12399e+00   2.49187e-03   1.57135e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.35044e+01   7.59176e+00   2.06001e-04  -2.78513e-01
-   5  sg_p4        9.02474e-01   3.46722e-02   1.67043e-03   3.57388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  2.583e-09 -7.268e-14 -1.074e-09  2.545e-11 
-  2.583e-09  3.948e-01  2.619e-05  2.775e+00  1.601e-02 
- -7.268e-14  2.619e-05  5.169e-05  3.372e-04  2.097e-06 
- -1.074e-09  2.775e+00  3.372e-04  5.797e+01  2.235e-01 
-  2.545e-11  1.601e-02  2.097e-06  2.235e-01  1.227e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72925   0.000  1.000  0.006  0.580  0.727
-        3  0.00847  -0.000  0.006  1.000  0.006  0.008
-        4  0.83884  -0.000  0.580  0.006  1.000  0.838
-        5  0.88859   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0189845
-21.9547 +- 0.628139
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10989.9 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49981e+02   9.00000e+00   0.00000e+00  -3.26253e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.05547e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00** at limit **
-   4  sg_p3        4.52220e+01   1.20000e+01  -4.25709e-01  -2.16544e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.30632e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=6.98216e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.75977e-02   2.02403e-03** at limit **
-   2  sg_p1        2.24968e+01   6.83255e-01   1.97163e-03  -2.42215e-01
-   3  sg_p2        6.50000e+02   1.00518e+00   1.16864e-02** at limit **
-   4  sg_p3        5.38609e+01   8.09997e+00   5.22641e-03  -7.25959e-02
-   5  sg_p4        9.04199e-01   3.73923e-02   8.57345e-03   6.68076e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  9.099e-09 -3.513e-14 -1.065e-10  1.081e-10 
-  9.099e-09  4.671e-01  8.095e-06  3.376e+00  1.946e-02 
- -3.513e-14  8.095e-06  3.071e-07  1.055e-04  6.207e-07 
- -1.065e-10  3.376e+00  1.055e-04  6.604e+01  2.615e-01 
-  1.081e-10  1.946e-02  6.207e-07  2.615e-01  1.433e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75475   0.001  1.000  0.021  0.608  0.752
-        3  0.02982  -0.000  0.021  1.000  0.023  0.030
-        4  0.85148  -0.000  0.608  0.023  1.000  0.850
-        5  0.90043   0.000  0.752  0.030  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM HESSE     STATUS=OK             31 CALLS         220 TOTAL
-                     EDM=6.97303e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.75977e-02   4.04806e-04   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.24968e+01   6.85707e-01   3.94326e-04  -6.08350e-02
-   3  sg_p2        6.50000e+02   1.00444e+00   2.33727e-03   1.57075e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38609e+01   8.16623e+00   2.09056e-04  -2.72339e-01
-   5  sg_p4        9.04199e-01   3.76884e-02   1.71469e-03   3.69689e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  1.898e-09 -1.580e-15 -1.792e-10  2.195e-11 
-  1.898e-09  4.705e-01  1.591e-06  3.436e+00  1.974e-02 
- -1.580e-15  1.591e-06  3.069e-07  2.082e-05  1.221e-07 
- -1.792e-10  3.436e+00  2.082e-05  6.714e+01  2.666e-01 
-  2.195e-11  1.974e-02  1.221e-07  2.666e-01  1.456e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00025   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75678   0.000  1.000  0.004  0.611  0.754
-        3  0.00582  -0.000  0.004  1.000  0.005  0.006
-        4  0.85409  -0.000  0.611  0.005  1.000  0.853
-        5  0.90212   0.000  0.754  0.006  0.853  1.000
-650
-650 +- 0.0175977
-22.4968 +- 0.685707
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11116.3 FROM MIGRAD    STATUS=INITIATE       85 CALLS          86 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49937e+02   9.00000e+00   0.00000e+00  -4.29903e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.78823e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00   1.70769e-01
-   4  sg_p3        4.20694e+01   1.20000e+01  -4.84211e-01   8.96725e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.70161e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=6.95645e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.30525e-02   2.32852e-03** at limit **
-   2  sg_p1        2.06141e+01   7.27095e-01   1.91751e-03  -1.78455e-02
-   3  sg_p2        6.50000e+02   5.67699e-01   8.96583e-03** at limit **
-   4  sg_p3        4.38408e+01   4.74866e+00   3.33807e-03   1.68221e-02
-   5  sg_p4        8.43914e-01   5.09939e-02   1.01808e-02   4.65599e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  1.526e-08 -3.653e-13 -1.193e-07 -8.752e-10 
-  1.526e-08  5.290e-01  4.594e-06  2.209e+00  3.042e-02 
- -3.653e-13  4.594e-06  1.090e-07  2.852e-05  4.142e-07 
- -1.193e-07  2.209e+00  2.852e-05  2.261e+01  2.103e-01 
- -8.752e-10  3.042e-02  4.142e-07  2.103e-01  2.707e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00135   1.000  0.000 -0.000 -0.001 -0.000
-        2  0.80823   0.000  1.000  0.019  0.639  0.804
-        3  0.02454  -0.000  0.019  1.000  0.018  0.024
-        4  0.85317  -0.001  0.639  0.018  1.000  0.850
-        5  0.91509  -0.000  0.804  0.024  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=6.98393e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.30527e-02   4.65704e-04   1.57083e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.06141e+01   7.25563e-01   7.67004e-05  -1.75808e-01
-   3  sg_p2        6.50000e+02   5.67438e-01   1.79317e-03   1.57076e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        4.38408e+01   4.74709e+00   1.33523e-04  -4.51134e-01
-   5  sg_p4        8.43914e-01   5.09413e-02   4.07231e-04  -4.05850e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  3.367e-09 -1.567e-14 -2.669e-08 -1.963e-10 
-  3.367e-09  5.268e-01  8.847e-07  2.198e+00  3.029e-02 
- -1.567e-14  8.847e-07  1.089e-07  5.498e-06  7.992e-08 
- -2.669e-08  2.198e+00  5.498e-06  2.259e+01  2.099e-01 
- -1.963e-10  3.029e-02  7.992e-08  2.099e-01  2.702e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00030   1.000  0.000 -0.000 -0.000 -0.000
-        2  0.80732   0.000  1.000  0.004  0.637  0.803
-        3  0.00474  -0.000  0.004  1.000  0.004  0.005
-        4  0.85306  -0.000  0.637  0.004  1.000  0.850
-        5  0.91490  -0.000  0.803  0.005  0.850  1.000
-650
-650 +- 0.0230527
-20.6141 +- 0.725563
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10944.8 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49942e+02   9.00000e+00   0.00000e+00  -4.99582e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.21408e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.15963e-01
-   4  sg_p3        4.09782e+01   1.20000e+01  -5.04874e-01  -3.48354e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -7.37019e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.73549e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.97234e-02   2.13705e-03** at limit **
-   2  sg_p1        2.20280e+01   6.30629e-01   1.91154e-03   1.91770e-02
-   3  sg_p2        6.50000e+02   1.15642e+00   1.26706e-02** at limit **
-   4  sg_p3        5.38442e+01   7.62585e+00   5.23371e-03  -3.81562e-02
-   5  sg_p4        9.01968e-01   3.44467e-02   8.30135e-03   1.18530e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  5.762e-08 -8.280e-13 -3.348e-08  5.240e-10 
-  5.762e-08  3.979e-01  1.192e-05  2.762e+00  1.584e-02 
- -8.280e-13  1.192e-05  8.864e-07  1.536e-04  9.534e-07 
- -3.348e-08  2.762e+00  1.536e-04  5.849e+01  2.220e-01 
-  5.240e-10  1.584e-02  9.534e-07  2.220e-01  1.211e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00104   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72341   0.001  1.000  0.020  0.573  0.721
-        3  0.02963  -0.000  0.020  1.000  0.021  0.029
-        4  0.83506  -0.000  0.573  0.021  1.000  0.834
-        5  0.88553   0.000  0.721  0.029  0.834  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM HESSE     STATUS=OK             31 CALLS         231 TOTAL
-                     EDM=1.74019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.97235e-02   4.27410e-04   1.57071e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.20280e+01   6.32975e-01   7.64616e-05  -8.93298e-02
-   3  sg_p2        6.50000e+02   1.15565e+00   2.53411e-03   1.57087e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38442e+01   7.69157e+00   2.09349e-04  -2.72628e-01
-   5  sg_p4        9.01968e-01   3.47361e-02   3.32054e-04   3.53784e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  7.480e-09 -2.394e-14 -4.978e-09  6.545e-11 
-  7.480e-09  4.009e-01  2.527e-06  2.817e+00  1.609e-02 
- -2.394e-14  2.527e-06  8.858e-07  3.272e-05  2.022e-07 
- -4.978e-09  2.817e+00  3.272e-05  5.951e+01  2.267e-01 
-  6.545e-11  1.609e-02  2.022e-07  2.267e-01  1.232e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00014   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72585   0.000  1.000  0.004  0.577  0.724
-        3  0.00624  -0.000  0.004  1.000  0.005  0.006
-        4  0.83815  -0.000  0.577  0.005  1.000  0.837
-        5  0.88759   0.000  0.724  0.006  0.837  1.000
-650
-650 +- 0.0197235
-22.028 +- 0.632975
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11266.8 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49945e+02   9.00000e+00   0.00000e+00  -5.09816e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.59572e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00  -1.69501e-01
-   4  sg_p3        4.29297e+01   1.20000e+01  -4.68077e-01  -5.58269e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.53081e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM MIGRAD    STATUS=CONVERGED     192 CALLS         193 TOTAL
-                     EDM=6.51945e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.82842e-02   2.08842e-03** at limit **
-   2  sg_p1        2.14609e+01   6.40975e-01   1.89354e-03  -6.53789e-02
-   3  sg_p2        6.50000e+02   8.30067e-01   1.08933e-02** at limit **
-   4  sg_p3        5.04392e+01   6.38127e+00   4.50073e-03  -1.04974e-02
-   5  sg_p4        8.87574e-01   3.78194e-02   8.69382e-03   5.77855e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  7.879e-10 -3.359e-14 -1.419e-09  2.261e-12 
-  7.879e-10  4.111e-01  2.684e-05  2.430e+00  1.837e-02 
- -3.359e-14  2.684e-05  4.386e-06  2.767e-04  2.208e-06 
- -1.419e-09  2.430e+00  2.767e-04  4.089e+01  2.045e-01 
-  2.261e-12  1.837e-02  2.208e-06  2.045e-01  1.464e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75133   0.001  1.000  0.020  0.593  0.749
-        3  0.02792  -0.000  0.020  1.000  0.021  0.028
-        4  0.83716  -0.000  0.593  0.021  1.000  0.836
-        5  0.89303   0.000  0.749  0.028  0.836  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM HESSE     STATUS=OK             31 CALLS         224 TOTAL
-                     EDM=6.57565e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.82843e-02   4.17684e-04   1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.14609e+01   6.41983e-01   3.78708e-04  -1.23899e-01
-   3  sg_p2        6.50000e+02   8.29559e-01   2.17866e-03   1.57098e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.04392e+01   6.41541e+00   1.80029e-04  -3.32084e-01
-   5  sg_p4        8.87574e-01   3.80027e-02   3.47753e-04   2.53193e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  1.574e-10 -1.584e-15 -3.026e-10  3.527e-13 
-  1.574e-10  4.124e-01  6.128e-06  2.455e+00  1.851e-02 
- -1.584e-15  6.128e-06  4.383e-06  6.343e-05  5.049e-07 
- -3.026e-10  2.455e+00  6.343e-05  4.133e+01  2.070e-01 
-  3.527e-13  1.851e-02  5.049e-07  2.070e-01  1.478e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00024   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75224   0.000  1.000  0.005  0.595  0.750
-        3  0.00636  -0.000  0.005  1.000  0.005  0.006
-        4  0.83906  -0.000  0.595  0.005  1.000  0.838
-        5  0.89415   0.000  0.750  0.006  0.838  1.000
-650
-650 +- 0.0182843
-21.4609 +- 0.641983
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10353.9 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49972e+02   9.00000e+00   0.00000e+00  -3.38302e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.33664e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.20039e-01
-   4  sg_p3        4.45271e+01   1.20000e+01  -4.38463e-01  -2.07423e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.51988e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=3.70488e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.03479e-02   2.11149e-03** at limit **
-   2  sg_p1        2.19227e+01   6.48242e-01   1.90022e-03  -1.27252e-01
-   3  sg_p2        6.50000e+02   1.19398e+00   1.24007e-02** at limit **
-   4  sg_p3        5.33695e+01   7.75365e+00   5.12507e-03  -4.78312e-02
-   5  sg_p4        9.02088e-01   3.57133e-02   8.36019e-03   4.34979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.014e-08 -1.058e-12 -4.315e-09  9.944e-11 
-  1.014e-08  4.204e-01  1.012e-04  2.912e+00  1.700e-02 
- -1.058e-12  1.012e-04  5.221e-05  1.288e-03  8.107e-06 
- -4.315e-09  2.912e+00  1.288e-03  6.049e+01  2.345e-01 
-  9.944e-11  1.700e-02  8.107e-06  2.345e-01  1.304e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72806   0.001  1.000  0.022  0.577  0.726
-        3  0.03161  -0.000  0.022  1.000  0.023  0.031
-        4  0.83617  -0.000  0.577  0.023  1.000  0.835
-        5  0.88699   0.000  0.726  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=3.65925e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.03480e-02   4.22297e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19227e+01   6.50158e-01   3.80043e-04  -9.57392e-02
-   3  sg_p2        6.50000e+02   1.19307e+00   2.48014e-03   1.57134e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.33695e+01   7.80905e+00   2.05003e-04  -2.80852e-01
-   5  sg_p4        9.02088e-01   3.59600e-02   1.67204e-03   3.54640e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.922e-09 -5.339e-14 -9.335e-10  1.841e-11 
-  1.922e-09  4.229e-01  2.702e-05  2.958e+00  1.722e-02 
- -5.339e-14  2.702e-05  5.217e-05  3.453e-04  2.166e-06 
- -9.335e-10  2.958e+00  3.453e-04  6.136e+01  2.386e-01 
-  1.841e-11  1.722e-02  2.166e-06  2.386e-01  1.322e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00022   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72996   0.000  1.000  0.006  0.581  0.728
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83871  -0.000  0.581  0.006  1.000  0.838
-        5  0.88867   0.000  0.728  0.008  0.838  1.000
-650
-650 +- 0.020348
-21.9227 +- 0.650158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11888.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49914e+02   9.00000e+00   0.00000e+00  -6.82601e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.48309e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.99059e-01
-   4  sg_p3        4.46355e+01   1.20000e+01  -4.36469e-01  -2.16258e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.69494e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.23148e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.77338e-02   2.11221e-03** at limit **
-   2  sg_p1        2.19855e+01   6.05458e-01   1.90519e-03  -1.38620e-01
-   3  sg_p2        6.50000e+02   1.06015e+00   1.25262e-02** at limit **
-   4  sg_p3        5.36334e+01   7.33056e+00   5.16765e-03  -5.62178e-02
-   5  sg_p4        9.02830e-01   3.32252e-02   8.34638e-03   5.03701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  1.247e-08 -1.236e-12 -3.833e-09  1.281e-10 
-  1.247e-08  3.667e-01  8.771e-05  2.567e+00  1.472e-02 
- -1.236e-12  8.771e-05  4.483e-05  1.134e-03  7.012e-06 
- -3.833e-09  2.567e+00  1.134e-03  5.403e+01  2.060e-01 
-  1.281e-10  1.472e-02  7.012e-06  2.060e-01  1.125e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72667   0.001  1.000  0.022  0.577  0.725
-        3  0.03177  -0.000  0.022  1.000  0.023  0.031
-        4  0.83644  -0.000  0.577  0.023  1.000  0.835
-        5  0.88683   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.17857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.77339e-02   4.22443e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19855e+01   6.07305e-01   3.81037e-04  -9.19155e-02
-   3  sg_p2        6.50000e+02   1.05933e+00   2.50525e-03   1.57133e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.36334e+01   7.38443e+00   2.06706e-04  -2.76278e-01
-   5  sg_p4        9.02830e-01   3.34620e-02   1.66928e-03   3.59921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  2.310e-09 -6.277e-14 -8.650e-10  2.316e-11 
-  2.310e-09  3.690e-01  2.329e-05  2.608e+00  1.491e-02 
- -6.277e-14  2.329e-05  4.479e-05  3.022e-04  1.863e-06 
- -8.650e-10  2.608e+00  3.022e-04  5.483e+01  2.097e-01 
-  2.316e-11  1.491e-02  1.863e-06  2.097e-01  1.142e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72864   0.000  1.000  0.006  0.580  0.727
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83905  -0.000  0.580  0.006  1.000  0.838
-        5  0.88856   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0177339
-21.9855 +- 0.607305
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 17 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 18 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 20 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 21 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 22 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 26 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 35 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 41 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 650 +- 0.0189845 (stat) - 1.56965e-07 + 8.69034e-09 (syst); -0.00949226/+0.00949226 (total)
-   Uncertainty on sg_p1 = 21.9547 +- 0.628139 (stat) - 1.34059 + 0.54216 (syst); -1.37689/+0.62656 (total)
-   Uncertainty on sg_p2 = 650 +- 1.12399 (stat) - 0 + 1.14208e-05 (syst); -0.561993/+0.561993 (total)
-   Uncertainty on sg_p3 = 53.5044 +- 7.59176 (stat) - 9.66364 + 0.356475 (syst); -10.3824/+3.81258 (total)
-   Uncertainty on sg_p4 = 0.902474 +- 0.0346722 (stat) - 0.0585604 + 0.00172451 (syst); -0.0610726/+0.0174217 (total) 
-   === Baseline plot === </br>
-   norm = 1859.61
-JEC     lnN   1.0047  -
-JER     lnN   1.01327  -
-btag    lnN   1.06919  -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out
deleted file mode 100644
index 3c67879..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.030
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 6.0823e-08  -6.0823e-08/+0.00909972  (68% CL)
-nll S+B -> -0.0632694  nll B -> -0.0632673
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out
deleted file mode 100644
index e9b30c4..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/CMS_HH4b_650_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 0.019200:	q_mu = 3.81398	q_A  = 3.77786	CLsb = 0.02541	CLb  = 0.49629	CLs  = 0.05120
-
- -- Asymptotic -- 
-Observed Limit: r < 0.0192
-Expected  2.5%: r < 0.0098
-Expected 16.0%: r < 0.0136
-Expected 50.0%: r < 0.0190
-Expected 84.0%: r < 0.0285
-Expected 97.5%: r < 0.0400
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/data_bkg.log
deleted file mode 100644
index 1be2f6e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/data_bkg.log
+++ /dev/null
@@ -1,717 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [252,330] --> [250,330]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [250,330]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63590.5 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   9.69443e-02   5.09000e-01   0.00000e+00  -7.94680e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -8.91126e+00
-   3  par_crystal_2   2.62020e+02   4.00000e+00   1.01181e-01  -1.53451e+00
-   4  par_crystal_3   1.65000e+01   2.70000e+00   0.00000e+00   7.46021e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM MIGRAD    STATUS=CONVERGED     482 CALLS         483 TOTAL
-                     EDM=0.000814822    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   4.40594e-01   4.43750e-02   2.48631e-03   2.88668e-01
-   2  par_crystal_1   9.82994e-01   6.48221e-01   2.14269e-02  -5.28345e-03
-   3  par_crystal_2   2.71542e+02   7.41091e-01   7.20683e-03  -9.27818e-02
-   4  par_crystal_3   2.87224e+01   2.18588e+00   3.97473e-02  -6.99277e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.970e-03 -2.333e-02 -5.115e-04  1.392e-02 
- -2.333e-02  4.358e-01  4.870e-03 -8.391e-01 
- -5.115e-04  4.870e-03  5.496e-01  4.381e-01 
-  1.392e-02 -8.391e-01  4.381e-01  5.029e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.88989   1.000 -0.796 -0.016  0.140
-        2  0.92807  -0.796  1.000  0.010 -0.567
-        3  0.40865  -0.016  0.010  1.000  0.264
-        4  0.80948   0.140 -0.567  0.264  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63509.5 FROM HESSE     STATUS=OK             23 CALLS         506 TOTAL
-                     EDM=0.000711421    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   4.40594e-01   4.64698e-02   4.97262e-04  -9.80558e-01
-   2  par_crystal_1   9.82994e-01   6.55195e-01   8.57075e-04  -6.65795e-01
-   3  par_crystal_2   2.71542e+02   7.38644e-01   1.44137e-03   6.15159e-01
-   4  par_crystal_3   2.87224e+01   2.03002e+00   1.58989e-03  -1.05570e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.160e-03 -2.581e-02 -1.109e-03  1.530e-02 
- -2.581e-02  4.456e-01  2.508e-02 -7.234e-01 
- -1.109e-03  2.508e-02  5.460e-01  3.687e-01 
-  1.530e-02 -7.234e-01  3.687e-01  4.306e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.90014   1.000 -0.832 -0.032  0.159
-        2  0.92960  -0.832  1.000  0.051 -0.522
-        3  0.40186  -0.032  0.051  1.000  0.240
-        4  0.77207   0.159 -0.522  0.240  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_gaus_exp) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [252,330]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=63714.2 FROM MIGRAD    STATUS=INITIATE       33 CALLS          34 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.80000e+02   4.00000e+00   0.00000e+00   2.63122e+02
-   2  par_gaus_exp_1   2.45000e+01   3.10000e+00   0.00000e+00  -5.45805e+02
-   3  par_gaus_exp_2   6.67498e-01   3.05000e-01  -6.37370e-01   7.03093e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM MIGRAD    STATUS=CONVERGED     131 CALLS         132 TOTAL
-                     EDM=6.15917e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   2.71558e+02   8.05096e-01   6.82817e-03   6.24407e-02
-   2  par_gaus_exp_1   3.06822e+01   1.83071e+00   1.43475e-02   1.11468e-02
-   3  par_gaus_exp_2   3.82770e-01   2.42284e-02   3.05774e-03  -9.77170e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.486e-01 -6.079e-01 -1.588e-03 
- -6.079e-01  3.370e+00  3.082e-02 
- -1.588e-03  3.082e-02  5.871e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.49876   1.000 -0.411 -0.081
-        2  0.77898  -0.411  1.000  0.693
-        3  0.72797  -0.081  0.693  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=63510.7 FROM HESSE     STATUS=OK             16 CALLS         148 TOTAL
-                     EDM=6.13964e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   2.71558e+02   8.14214e-01   2.73127e-04  -4.35760e-01
-   2  par_gaus_exp_1   3.06822e+01   1.86973e+00   5.73898e-04   4.10264e-01
-   3  par_gaus_exp_2   3.82770e-01   2.45149e-02   1.22310e-04  -8.97531e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.634e-01 -6.630e-01 -2.137e-03 
- -6.630e-01  3.516e+00  3.227e-02 
- -2.137e-03  3.227e-02  6.011e-04 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.51526   1.000 -0.434 -0.107
-        2  0.78935  -0.434  1.000  0.702
-        3  0.73544  -0.107  0.702  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_novo) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [285,625]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=7.33953
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 7.33953)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     p.d.f normalization integral is zero or negative @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=287.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=292.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=297.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=302.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=307.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     p.d.f normalization integral is zero or negative @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=7.33953
-    ... (remaining 126 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.734607
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 275.5,par_novo_1 = 27,par_novo_2 = 0.734607)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=312.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=317.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=322.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=327.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=332.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=337.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=342.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=347.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=352.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=357.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=362.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=367.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.734607
-    ... (remaining 53 messages suppressed)
-
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (313207) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=275.5, par_novo_1=27, par_novo_2=0.0734613
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=622.5, width=par_novo_1=27, peak=par_novo_0=275.5, tail=par_novo_2=0.0734613
-
- FCN=103487 FROM MIGRAD    STATUS=INITIATE       49 CALLS          50 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   5.10000e+00  -1.57093e+00** at limit **
-   2  par_novo_1   2.70000e+01   5.40000e+00   0.00000e+00  -1.56195e+03
-   3  par_novo_2  -1.33668e+00   2.00000e+01   0.00000e+00   1.53931e+05
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM MIGRAD    STATUS=CONVERGED     127 CALLS         128 TOTAL
-                     EDM=3.4171e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   2.50000e+02   3.43423e+01   1.81223e-01** at limit **
-   2  par_novo_1   3.86596e+01   2.27294e+00   4.95847e-03  -1.04123e-02
-   3  par_novo_2  -1.27520e+00   7.07738e-02   3.70975e-05  -1.26322e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  6.231e-09 -8.491e-07 -8.580e-07 
- -8.491e-07  5.181e+00  1.547e-01 
- -8.580e-07  1.547e-01  5.009e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.53332   1.000 -0.005 -0.154
-        2  0.97096  -0.005  1.000  0.960
-        3  0.97165  -0.154  0.960  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=103251 FROM HESSE     STATUS=OK             20 CALLS         148 TOTAL
-                     EDM=3.43726e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   2.50000e+02   3.40246e+01   5.00000e-01  -1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  par_novo_1   3.86596e+01   2.31421e+00   1.98339e-04   4.46530e-01
-   3  par_novo_2  -1.27520e+00   7.22930e-02   1.48390e-06  -1.27523e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  5.974e-09  2.819e-05 -1.296e-06 
-  2.819e-05  5.372e+00  1.502e-01 
- -1.296e-06  1.502e-01  5.226e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.85665   1.000  0.157 -0.232
-        2  0.97200   0.157  1.000  0.897
-        3  0.97285  -0.232  0.897  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(f_crystal_1) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [285,624]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=107513 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   2.55500e+00   5.09000e-01   0.00000e+00   1.39168e+03
-   2  par_crystal_1_1   7.96220e-02   5.09000e-01   0.00000e+00   5.33770e+03
-   3  par_crystal_1_2   2.56879e+02   4.00000e+00  -1.56713e-01  -1.96669e+01
-   4  par_crystal_1_3   1.65000e+01   2.70000e+00   0.00000e+00  -8.45862e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.5057e-02  2.3309e-03  4.9678e-02  3.9730e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.029030 TO DIAGONAL.
- FCN=103250 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=3.52757e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   4.45574e-02   4.37117e-03   3.09465e-04  -4.28177e+00
-   2  par_crystal_1_1   4.36914e+00   6.24106e-01   1.80400e-02   6.63742e-02
-   3  par_crystal_1_2   2.71531e+02   3.44700e+01   5.81266e-02   2.25694e-02
-   4  par_crystal_1_3   3.37290e+00   2.71702e-01   3.13791e-03  -4.26197e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.911e-05 -1.221e-03  2.089e-01  3.572e-04 
- -1.221e-03  4.065e-01 -2.690e+01 -6.822e-02 
-  2.089e-01 -2.690e+01  3.429e+03  1.167e+01 
-  3.572e-04 -6.822e-02  1.167e+01  7.401e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99136   1.000 -0.438  0.816  0.300
-        2  0.97307  -0.438  1.000 -0.720 -0.393
-        3  0.99735   0.816 -0.720  1.000  0.733
-        4  0.98716   0.300 -0.393  0.733  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.0089e-04  4.0193e-04  7.1213e-02  3.9292e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.004730 TO DIAGONAL.
- FCN=103250 FROM HESSE     STATUS=NOT POSDEF     23 CALLS         460 TOTAL
-                     EDM=3.56127e-05    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   4.45574e-02   7.42610e-03   6.18930e-05  -1.40582e+00
-   2  par_crystal_1_1   4.36914e+00   4.67550e-01   7.21602e-04  -3.93511e+00
-   3  par_crystal_1_2   2.71531e+02   3.29814e+01   2.32506e-03  -3.75607e+00
-   4  par_crystal_1_3   3.37290e+00   5.01685e-01   1.25517e-04  -1.80638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.515e-05  2.851e-04  2.343e-01 -1.699e-03 
-  2.851e-04  2.238e-01 -2.528e+00  1.548e-02 
-  2.343e-01 -2.528e+00  2.967e+03  1.176e+01 
- -1.699e-03  1.548e-02  1.176e+01  2.538e-01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99694   1.000  0.081  0.579 -0.454
-        2  0.94927   0.081  1.000 -0.098  0.065
-        3  0.99687   0.579 -0.098  1.000  0.429
-        4  0.99618  -0.454  0.065  0.429  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_1) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:InputArguments -- RooAbsData::plotOn(pred_2) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_252_330): fit range of variable x expanded to nearest bin boundaries: [250,330] --> [250,330]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_285_624): fit range of variable x expanded to nearest bin boundaries: [285,625] --> [285,625]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_252_330
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_285_624
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_252_330 = 14211
- Background number of gaus_exp_252_330 = 14211
- Background number of novo_285_624 = 17618.3
- Background number of crystal_1_285_624 = 17618.3
- Background number of gaus_bern_285_624 = 17618.3
- Background number of landau_285_624 = 17618.3
-par_crystal_0   param   0.440594 0.0464698
-par_crystal_1   param   0.982994 0.655195
-par_crystal_2   param   271.542 0.738644
-par_crystal_3   param   28.7224 2.03002
-par_crystal_1_0   param   0.0445574 0.0074261
-par_crystal_1_1   param   4.36914 0.46755
-par_crystal_1_2   param   271.531 32.9814
-par_crystal_1_3   param   3.3729 0.501685
-par_gaus_exp_0   param   271.558 0.814214
-par_gaus_exp_1   param   30.6822 1.86973
-par_gaus_exp_2   param   0.38277 0.0245149
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt
deleted file mode 100644
index 9547b3f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/datacard_650_novo_285_624.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_285_624.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_285_624.root      HbbHbb:data_obs_novo_285_624
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  1859.61 17618.3
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06919    -
-JER       lnN     1.01327   - 
-JEC       lnN     1.0047   -
-trigger   lnN     1.10    -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
-par_novo_0   param   250 34.0246
-par_novo_1   param   38.6596 2.31421
-par_novo_2   param   -1.2752 0.072293
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/signal650_sig.log b/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/signal650_sig.log
deleted file mode 100644
index 1f5e75e..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/5GeV/LMR_650_novo_285_624/signal650_sig.log
+++ /dev/null
@@ -1,883 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-test
-test
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13508.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.87056e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.46321e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -5.56470e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.42658e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.11139e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM MIGRAD    STATUS=CONVERGED     597 CALLS         598 TOTAL
-                     EDM=4.72558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.31550e+02   1.07438e+00   1.68730e-03  -2.23582e-01
-   2  sg_p1        3.53137e+01   1.11870e+00   4.47963e-03   6.27366e-02
-   3  sg_p2        5.77635e+02   4.62466e+01   1.24400e-02   1.02159e-02
-   4  sg_p3        6.47572e+01   2.35273e+01   1.70525e-02  -3.15130e-03
-   5  sg_p4        9.66896e-01   3.39852e-02   6.34455e-03  -3.92355e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.155e+00 -4.604e-01 -1.111e+01  1.243e+01 -1.676e-02 
- -4.604e-01  1.255e+00  2.645e+01 -9.584e+00  2.747e-02 
- -1.111e+01  2.645e+01  2.484e+03  4.016e+02  1.548e+00 
-  1.243e+01 -9.584e+00  4.016e+02  5.848e+02 -3.604e-02 
- -1.676e-02  2.747e-02  1.548e+00 -3.604e-02  1.209e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66627   1.000 -0.382 -0.207  0.478 -0.449
-        2  0.79846  -0.382  1.000  0.474 -0.354  0.705
-        3  0.96990  -0.207  0.474  1.000  0.333  0.893
-        4  0.84189   0.478 -0.354  0.333  1.000 -0.043
-        5  0.97425  -0.449  0.705  0.893 -0.043  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12287.8 FROM HESSE     STATUS=OK             31 CALLS         629 TOTAL
-                     EDM=4.61535e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.31550e+02   1.06668e+00   3.37461e-04   6.31053e-01
-   2  sg_p1        3.53137e+01   1.12240e+00   1.79185e-04   7.98026e-01
-   3  sg_p2        5.77635e+02   4.57102e+01   2.48799e-03   3.10645e+00
-   4  sg_p3        6.47572e+01   2.27278e+01   6.82099e-04   3.22908e+00
-   5  sg_p4        9.66896e-01   3.40601e-02   1.26891e-03   8.93554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.138e+00 -4.570e-01 -1.213e+01  1.173e+01 -1.703e-02 
- -4.570e-01  1.264e+00  2.725e+01 -9.434e+00  2.793e-02 
- -1.213e+01  2.725e+01  2.417e+03  3.349e+02  1.539e+00 
-  1.173e+01 -9.434e+00  3.349e+02  5.436e+02 -5.744e-02 
- -1.703e-02  2.793e-02  1.539e+00 -5.744e-02  1.215e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.66019   1.000 -0.381 -0.231  0.472 -0.458
-        2  0.79995  -0.381  1.000  0.493 -0.360  0.713
-        3  0.96905  -0.231  0.493  1.000  0.292  0.898
-        4  0.82847   0.472 -0.360  0.292  1.000 -0.071
-        5  0.97437  -0.458  0.713  0.898 -0.071  1.000
-650
-631.55 +- 1.06668
-35.3137 +- 1.1224
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13608.2 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -3.05846e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.60421e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -6.11096e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -3.92754e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   2.53615e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM MIGRAD    STATUS=CONVERGED     366 CALLS         367 TOTAL
-                     EDM=4.73777e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.34937e+02   1.20416e+00   1.88745e-03   1.06307e-02
-   2  sg_p1        3.54255e+01   1.33397e+00   4.75405e-03  -6.42739e-03
-   3  sg_p2        5.82190e+02   3.67116e+01   1.00364e-02   4.55135e-03
-   4  sg_p3        6.30056e+01   1.66588e+01   1.25710e-02   4.37361e-03
-   5  sg_p4        9.54564e-01   4.17481e-02   6.34242e-03   8.71212e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.451e+00 -7.734e-01 -1.793e+01 -1.063e+01 -3.042e-02 
- -7.734e-01  1.788e+00  3.000e+01  1.060e+01  4.484e-02 
- -1.793e+01  3.000e+01  1.473e+03 -4.482e+01  1.490e+00 
- -1.063e+01  1.060e+01 -4.482e+01  2.851e+02  1.993e-01 
- -3.042e-02  4.484e-02  1.490e+00  1.993e-01  1.838e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.72232   1.000 -0.480 -0.388 -0.523 -0.589
-        2  0.84648  -0.480  1.000  0.585  0.469  0.782
-        3  0.96726  -0.388  0.585  1.000 -0.069  0.905
-        4  0.81721  -0.523  0.469 -0.069  1.000  0.275
-        5  0.97806  -0.589  0.782  0.905  0.275  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12183.3 FROM HESSE     STATUS=OK             31 CALLS         398 TOTAL
-                     EDM=4.49878e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.34937e+02   1.17331e+00   7.54981e-05   7.27855e-01
-   2  sg_p1        3.54255e+01   1.28807e+00   1.90162e-04   8.07781e-01
-   3  sg_p2        5.82190e+02   3.82291e+01   2.00727e-03   3.04558e+00
-   4  sg_p3        6.30056e+01   1.76697e+01   5.02840e-04  -1.16840e-01
-   5  sg_p4        9.54564e-01   4.07959e-02   2.53697e-04   7.71340e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.377e+00 -6.709e-01 -1.351e+01 -1.025e+01 -2.563e-02 
- -6.709e-01  1.666e+00  2.684e+01  9.073e+00  4.040e-02 
- -1.351e+01  2.684e+01  1.611e+03 -1.944e+02  1.503e+00 
- -1.025e+01  9.073e+00 -1.944e+02  3.218e+02  7.926e-02 
- -2.563e-02  4.040e-02  1.503e+00  7.926e-02  1.751e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.70445   1.000 -0.443 -0.287 -0.487 -0.522
-        2  0.83419  -0.443  1.000  0.518  0.392  0.748
-        3  0.97010  -0.287  0.518  1.000 -0.270  0.895
-        4  0.84000  -0.487  0.392 -0.270  1.000  0.106
-        5  0.97695  -0.522  0.748  0.895  0.106  1.000
-650
-634.937 +- 1.17331
-35.4255 +- 1.28807
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13336.9 FROM MIGRAD    STATUS=INITIATE       20 CALLS          21 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   9.00000e+00   2.01358e-01  -2.61029e+03
-   2  sg_p1        2.35000e+01   3.30000e+00   2.01358e-01  -1.30706e+03
-   3  sg_p2        5.75000e+02   1.50000e+01   2.01358e-01  -4.94508e+02
-   4  sg_p3        7.00000e+01   1.20000e+01   2.01358e-01  -2.82439e+02
-   5  sg_p4        8.50000e-01   3.00000e-02   2.01358e-01   1.69237e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 5 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 2.26189 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -3.9054e-01  1.0008e+00  1.0126e+00  1.3098e+00  2.0673e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.392608 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM MIGRAD    STATUS=CONVERGED     434 CALLS         435 TOTAL
-                     EDM=9.27116e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.29363e+02   1.94289e+00   1.61110e-03  -6.12714e-02
-   2  sg_p1        3.39915e+01   1.39941e+00   4.02767e-03   1.41131e-02
-   3  sg_p2        5.86998e+02   3.80498e+01   5.91384e-03   1.10012e-02
-   4  sg_p3        4.52433e+01   9.31868e+00   5.76920e-03   6.15069e-03
-   5  sg_p4        9.32822e-01   8.73169e-02   7.58377e-03  -1.49983e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.778e+00 -2.106e+00 -5.004e+01 -2.088e+00 -1.541e-01 
- -2.106e+00  1.966e+00  3.539e+01  6.357e-01  1.083e-01 
- -5.004e+01  3.539e+01  1.597e+03 -2.131e+02  3.640e+00 
- -2.088e+00  6.357e-01 -2.131e+02  8.769e+01 -2.781e-01 
- -1.541e-01  1.083e-01  3.640e+00 -2.781e-01  9.342e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.91269   1.000 -0.773 -0.644 -0.115 -0.820
-        2  0.87908  -0.773  1.000  0.631  0.048  0.799
-        3  0.98973  -0.644  0.631  1.000 -0.569  0.942
-        4  0.89773  -0.115  0.048 -0.569  1.000 -0.307
-        5  0.99185  -0.820  0.799  0.942 -0.307  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=12331.2 FROM HESSE     STATUS=OK             31 CALLS         466 TOTAL
-                     EDM=1.05015e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.29363e+02   1.77740e+00   3.22219e-04   5.72091e-01
-   2  sg_p1        3.39915e+01   1.30671e+00   1.61107e-04   6.89109e-01
-   3  sg_p2        5.86998e+02   4.00071e+01   2.36554e-04   2.98093e+00
-   4  sg_p3        4.52433e+01   1.08302e+01   2.30768e-04  -4.25319e-01
-   5  sg_p4        9.32822e-01   8.54732e-02   1.51675e-03   5.84938e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.161e+00 -1.710e+00 -4.134e+01 -1.168e+00 -1.264e-01 
- -1.710e+00  1.714e+00  3.071e+01 -2.615e-01  9.187e-02 
- -4.134e+01  3.071e+01  1.786e+03 -3.269e+02  3.736e+00 
- -1.168e+00 -2.615e-01 -3.269e+02  1.189e+02 -4.766e-01 
- -1.264e-01  9.187e-02  3.736e+00 -4.766e-01  8.856e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.89467   1.000 -0.735 -0.550 -0.060 -0.756
-        2  0.85981  -0.735  1.000  0.555 -0.018  0.746
-        3  0.99083  -0.550  0.555  1.000 -0.709  0.939
-        4  0.92564  -0.060 -0.018 -0.709  1.000 -0.465
-        5  0.99140  -0.756  0.746  0.939 -0.465  1.000
-650
-629.363 +- 1.7774
-33.9915 +- 1.30671
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11100.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49976e+02   9.00000e+00   0.00000e+00  -3.31148e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.41635e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.52712e-01
-   4  sg_p3        4.45955e+01   1.20000e+01  -4.37204e-01  -1.45659e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.61763e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.42251e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.89844e-02   2.11173e-03** at limit **
-   2  sg_p1        2.19547e+01   6.26260e-01   1.90248e-03  -1.39894e-01
-   3  sg_p2        6.50000e+02   1.12485e+00   1.24593e-02** at limit **
-   4  sg_p3        5.35044e+01   7.53715e+00   5.15003e-03  -5.48748e-02
-   5  sg_p4        9.02474e-01   3.44307e-02   8.35217e-03   4.98005e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  1.398e-08 -1.474e-12 -5.092e-09  1.406e-10 
-  1.398e-08  3.924e-01  9.759e-05  2.732e+00  1.581e-02 
- -1.474e-12  9.759e-05  5.173e-05  1.252e-03  7.811e-06 
- -5.092e-09  2.732e+00  1.252e-03  5.713e+01  2.196e-01 
-  1.406e-10  1.581e-02  7.811e-06  2.196e-01  1.210e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00112   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72732   0.001  1.000  0.022  0.577  0.725
-        3  0.03176  -0.000  0.022  1.000  0.023  0.031
-        4  0.83627  -0.000  0.577  0.023  1.000  0.835
-        5  0.88688   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11089.2 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.36793e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.89845e-02   4.22346e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19547e+01   6.28139e-01   3.80496e-04  -9.37931e-02
-   3  sg_p2        6.50000e+02   1.12399e+00   2.49187e-03   1.57135e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.35044e+01   7.59176e+00   2.06001e-04  -2.78513e-01
-   5  sg_p4        9.02474e-01   3.46722e-02   1.67043e-03   3.57388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  6.624e-10  2.583e-09 -7.268e-14 -1.074e-09  2.545e-11 
-  2.583e-09  3.948e-01  2.619e-05  2.775e+00  1.601e-02 
- -7.268e-14  2.619e-05  5.169e-05  3.372e-04  2.097e-06 
- -1.074e-09  2.775e+00  3.372e-04  5.797e+01  2.235e-01 
-  2.545e-11  1.601e-02  2.097e-06  2.235e-01  1.227e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72925   0.000  1.000  0.006  0.580  0.727
-        3  0.00847  -0.000  0.006  1.000  0.006  0.008
-        4  0.83884  -0.000  0.580  0.006  1.000  0.838
-        5  0.88859   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0189845
-21.9547 +- 0.628139
- fit done 
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10989.9 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49981e+02   9.00000e+00   0.00000e+00  -3.26253e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.05547e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00** at limit **
-   4  sg_p3        4.52220e+01   1.20000e+01  -4.25709e-01  -2.16544e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.30632e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=6.98216e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.75977e-02   2.02403e-03** at limit **
-   2  sg_p1        2.24968e+01   6.83255e-01   1.97163e-03  -2.42215e-01
-   3  sg_p2        6.50000e+02   1.00518e+00   1.16864e-02** at limit **
-   4  sg_p3        5.38609e+01   8.09997e+00   5.22641e-03  -7.25959e-02
-   5  sg_p4        9.04199e-01   3.73923e-02   8.57345e-03   6.68076e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  9.099e-09 -3.513e-14 -1.065e-10  1.081e-10 
-  9.099e-09  4.671e-01  8.095e-06  3.376e+00  1.946e-02 
- -3.513e-14  8.095e-06  3.071e-07  1.055e-04  6.207e-07 
- -1.065e-10  3.376e+00  1.055e-04  6.604e+01  2.615e-01 
-  1.081e-10  1.946e-02  6.207e-07  2.615e-01  1.433e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75475   0.001  1.000  0.021  0.608  0.752
-        3  0.02982  -0.000  0.021  1.000  0.023  0.030
-        4  0.85148  -0.000  0.608  0.023  1.000  0.850
-        5  0.90043   0.000  0.752  0.030  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10983 FROM HESSE     STATUS=OK             31 CALLS         220 TOTAL
-                     EDM=6.97303e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.75977e-02   4.04806e-04   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.24968e+01   6.85707e-01   3.94326e-04  -6.08350e-02
-   3  sg_p2        6.50000e+02   1.00444e+00   2.33727e-03   1.57075e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38609e+01   8.16623e+00   2.09056e-04  -2.72339e-01
-   5  sg_p4        9.04199e-01   3.76884e-02   1.71469e-03   3.69689e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.162e-10  1.898e-09 -1.580e-15 -1.792e-10  2.195e-11 
-  1.898e-09  4.705e-01  1.591e-06  3.436e+00  1.974e-02 
- -1.580e-15  1.591e-06  3.069e-07  2.082e-05  1.221e-07 
- -1.792e-10  3.436e+00  2.082e-05  6.714e+01  2.666e-01 
-  2.195e-11  1.974e-02  1.221e-07  2.666e-01  1.456e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00025   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75678   0.000  1.000  0.004  0.611  0.754
-        3  0.00582  -0.000  0.004  1.000  0.005  0.006
-        4  0.85409  -0.000  0.611  0.005  1.000  0.853
-        5  0.90212   0.000  0.754  0.006  0.853  1.000
-650
-650 +- 0.0175977
-22.4968 +- 0.685707
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11116.3 FROM MIGRAD    STATUS=INITIATE       85 CALLS          86 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49937e+02   9.00000e+00   0.00000e+00  -4.29903e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.78823e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00   1.70769e-01
-   4  sg_p3        4.20694e+01   1.20000e+01  -4.84211e-01   8.96725e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.70161e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=6.95645e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.30525e-02   2.32852e-03** at limit **
-   2  sg_p1        2.06141e+01   7.27095e-01   1.91751e-03  -1.78455e-02
-   3  sg_p2        6.50000e+02   5.67699e-01   8.96583e-03** at limit **
-   4  sg_p3        4.38408e+01   4.74866e+00   3.33807e-03   1.68221e-02
-   5  sg_p4        8.43914e-01   5.09939e-02   1.01808e-02   4.65599e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  1.526e-08 -3.653e-13 -1.193e-07 -8.752e-10 
-  1.526e-08  5.290e-01  4.594e-06  2.209e+00  3.042e-02 
- -3.653e-13  4.594e-06  1.090e-07  2.852e-05  4.142e-07 
- -1.193e-07  2.209e+00  2.852e-05  2.261e+01  2.103e-01 
- -8.752e-10  3.042e-02  4.142e-07  2.103e-01  2.707e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00135   1.000  0.000 -0.000 -0.001 -0.000
-        2  0.80823   0.000  1.000  0.019  0.639  0.804
-        3  0.02454  -0.000  0.019  1.000  0.018  0.024
-        4  0.85317  -0.001  0.639  0.018  1.000  0.850
-        5  0.91509  -0.000  0.804  0.024  0.850  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11098.1 FROM HESSE     STATUS=OK             31 CALLS         230 TOTAL
-                     EDM=6.98393e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.30527e-02   4.65704e-04   1.57083e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.06141e+01   7.25563e-01   7.67004e-05  -1.75808e-01
-   3  sg_p2        6.50000e+02   5.67438e-01   1.79317e-03   1.57076e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        4.38408e+01   4.74709e+00   1.33523e-04  -4.51134e-01
-   5  sg_p4        8.43914e-01   5.09413e-02   4.07231e-04  -4.05850e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.079e-09  3.367e-09 -1.567e-14 -2.669e-08 -1.963e-10 
-  3.367e-09  5.268e-01  8.847e-07  2.198e+00  3.029e-02 
- -1.567e-14  8.847e-07  1.089e-07  5.498e-06  7.992e-08 
- -2.669e-08  2.198e+00  5.498e-06  2.259e+01  2.099e-01 
- -1.963e-10  3.029e-02  7.992e-08  2.099e-01  2.702e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00030   1.000  0.000 -0.000 -0.000 -0.000
-        2  0.80732   0.000  1.000  0.004  0.637  0.803
-        3  0.00474  -0.000  0.004  1.000  0.004  0.005
-        4  0.85306  -0.000  0.637  0.004  1.000  0.850
-        5  0.91490  -0.000  0.803  0.005  0.850  1.000
-650
-650 +- 0.0230527
-20.6141 +- 0.725563
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10944.8 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49942e+02   9.00000e+00   0.00000e+00  -4.99582e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.21408e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.15963e-01
-   4  sg_p3        4.09782e+01   1.20000e+01  -5.04874e-01  -3.48354e+01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -7.37019e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.73549e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.97234e-02   2.13705e-03** at limit **
-   2  sg_p1        2.20280e+01   6.30629e-01   1.91154e-03   1.91770e-02
-   3  sg_p2        6.50000e+02   1.15642e+00   1.26706e-02** at limit **
-   4  sg_p3        5.38442e+01   7.62585e+00   5.23371e-03  -3.81562e-02
-   5  sg_p4        9.01968e-01   3.44467e-02   8.30135e-03   1.18530e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  5.762e-08 -8.280e-13 -3.348e-08  5.240e-10 
-  5.762e-08  3.979e-01  1.192e-05  2.762e+00  1.584e-02 
- -8.280e-13  1.192e-05  8.864e-07  1.536e-04  9.534e-07 
- -3.348e-08  2.762e+00  1.536e-04  5.849e+01  2.220e-01 
-  5.240e-10  1.584e-02  9.534e-07  2.220e-01  1.211e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00104   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72341   0.001  1.000  0.020  0.573  0.721
-        3  0.02963  -0.000  0.020  1.000  0.021  0.029
-        4  0.83506  -0.000  0.573  0.021  1.000  0.834
-        5  0.88553   0.000  0.721  0.029  0.834  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10932.1 FROM HESSE     STATUS=OK             31 CALLS         231 TOTAL
-                     EDM=1.74019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.97235e-02   4.27410e-04   1.57071e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.20280e+01   6.32975e-01   7.64616e-05  -8.93298e-02
-   3  sg_p2        6.50000e+02   1.15565e+00   2.53411e-03   1.57087e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.38442e+01   7.69157e+00   2.09349e-04  -2.72628e-01
-   5  sg_p4        9.01968e-01   3.47361e-02   3.32054e-04   3.53784e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  1.307e-08  7.480e-09 -2.394e-14 -4.978e-09  6.545e-11 
-  7.480e-09  4.009e-01  2.527e-06  2.817e+00  1.609e-02 
- -2.394e-14  2.527e-06  8.858e-07  3.272e-05  2.022e-07 
- -4.978e-09  2.817e+00  3.272e-05  5.951e+01  2.267e-01 
-  6.545e-11  1.609e-02  2.022e-07  2.267e-01  1.232e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00014   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72585   0.000  1.000  0.004  0.577  0.724
-        3  0.00624  -0.000  0.004  1.000  0.005  0.006
-        4  0.83815  -0.000  0.577  0.005  1.000  0.837
-        5  0.88759   0.000  0.724  0.006  0.837  1.000
-650
-650 +- 0.0197235
-22.028 +- 0.632975
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11266.8 FROM MIGRAD    STATUS=INITIATE       82 CALLS          83 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49945e+02   9.00000e+00   0.00000e+00  -5.09816e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.59572e+02
-   3  sg_p2        6.50000e+02   1.50000e+01   0.00000e+00  -1.69501e-01
-   4  sg_p3        4.29297e+01   1.20000e+01  -4.68077e-01  -5.58269e+00
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.53081e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM MIGRAD    STATUS=CONVERGED     192 CALLS         193 TOTAL
-                     EDM=6.51945e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.82842e-02   2.08842e-03** at limit **
-   2  sg_p1        2.14609e+01   6.40975e-01   1.89354e-03  -6.53789e-02
-   3  sg_p2        6.50000e+02   8.30067e-01   1.08933e-02** at limit **
-   4  sg_p3        5.04392e+01   6.38127e+00   4.50073e-03  -1.04974e-02
-   5  sg_p4        8.87574e-01   3.78194e-02   8.69382e-03   5.77855e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  7.879e-10 -3.359e-14 -1.419e-09  2.261e-12 
-  7.879e-10  4.111e-01  2.684e-05  2.430e+00  1.837e-02 
- -3.359e-14  2.684e-05  4.386e-06  2.767e-04  2.208e-06 
- -1.419e-09  2.430e+00  2.767e-04  4.089e+01  2.045e-01 
-  2.261e-12  1.837e-02  2.208e-06  2.045e-01  1.464e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00119   1.000  0.001 -0.000 -0.000  0.000
-        2  0.75133   0.001  1.000  0.020  0.593  0.749
-        3  0.02792  -0.000  0.020  1.000  0.021  0.028
-        4  0.83716  -0.000  0.593  0.021  1.000  0.836
-        5  0.89303   0.000  0.749  0.028  0.836  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11251.6 FROM HESSE     STATUS=OK             31 CALLS         224 TOTAL
-                     EDM=6.57565e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.82843e-02   4.17684e-04   1.57080e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.14609e+01   6.41983e-01   3.78708e-04  -1.23899e-01
-   3  sg_p2        6.50000e+02   8.29559e-01   2.17866e-03   1.57098e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.04392e+01   6.41541e+00   1.80029e-04  -3.32084e-01
-   5  sg_p4        8.87574e-01   3.80027e-02   3.47753e-04   2.53193e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  2.336e-12  1.574e-10 -1.584e-15 -3.026e-10  3.527e-13 
-  1.574e-10  4.124e-01  6.128e-06  2.455e+00  1.851e-02 
- -1.584e-15  6.128e-06  4.383e-06  6.343e-05  5.049e-07 
- -3.026e-10  2.455e+00  6.343e-05  4.133e+01  2.070e-01 
-  3.527e-13  1.851e-02  5.049e-07  2.070e-01  1.478e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00024   1.000  0.000 -0.000 -0.000  0.000
-        2  0.75224   0.000  1.000  0.005  0.595  0.750
-        3  0.00636  -0.000  0.005  1.000  0.005  0.006
-        4  0.83906  -0.000  0.595  0.005  1.000  0.838
-        5  0.89415   0.000  0.750  0.006  0.838  1.000
-650
-650 +- 0.0182843
-21.4609 +- 0.641983
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10353.9 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49972e+02   9.00000e+00   0.00000e+00  -3.38302e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.33664e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.20039e-01
-   4  sg_p3        4.45271e+01   1.20000e+01  -4.38463e-01  -2.07423e-02
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.51988e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=3.70488e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   2.03479e-02   2.11149e-03** at limit **
-   2  sg_p1        2.19227e+01   6.48242e-01   1.90022e-03  -1.27252e-01
-   3  sg_p2        6.50000e+02   1.19398e+00   1.24007e-02** at limit **
-   4  sg_p3        5.33695e+01   7.75365e+00   5.12507e-03  -4.78312e-02
-   5  sg_p4        9.02088e-01   3.57133e-02   8.36019e-03   4.34979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.014e-08 -1.058e-12 -4.315e-09  9.944e-11 
-  1.014e-08  4.204e-01  1.012e-04  2.912e+00  1.700e-02 
- -1.058e-12  1.012e-04  5.221e-05  1.288e-03  8.107e-06 
- -4.315e-09  2.912e+00  1.288e-03  6.049e+01  2.345e-01 
-  9.944e-11  1.700e-02  8.107e-06  2.345e-01  1.304e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72806   0.001  1.000  0.022  0.577  0.726
-        3  0.03161  -0.000  0.022  1.000  0.023  0.031
-        4  0.83617  -0.000  0.577  0.023  1.000  0.835
-        5  0.88699   0.000  0.726  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10342.9 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=3.65925e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   2.03480e-02   4.22297e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19227e+01   6.50158e-01   3.80043e-04  -9.57392e-02
-   3  sg_p2        6.50000e+02   1.19307e+00   2.48014e-03   1.57134e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.33695e+01   7.80905e+00   2.05003e-04  -2.80852e-01
-   5  sg_p4        9.02088e-01   3.59600e-02   1.67204e-03   3.54640e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  3.234e-10  1.922e-09 -5.339e-14 -9.335e-10  1.841e-11 
-  1.922e-09  4.229e-01  2.702e-05  2.958e+00  1.722e-02 
- -5.339e-14  2.702e-05  5.217e-05  3.453e-04  2.166e-06 
- -9.335e-10  2.958e+00  3.453e-04  6.136e+01  2.386e-01 
-  1.841e-11  1.722e-02  2.166e-06  2.386e-01  1.322e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00022   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72996   0.000  1.000  0.006  0.581  0.728
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83871  -0.000  0.581  0.006  1.000  0.838
-        5  0.88867   0.000  0.728  0.008  0.838  1.000
-650
-650 +- 0.020348
-21.9227 +- 0.650158
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
- **********
- **   13 **MIGRAD        2500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11888.7 FROM MIGRAD    STATUS=INITIATE       80 CALLS          81 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.49914e+02   9.00000e+00   0.00000e+00  -6.82601e+01
-   2  sg_p1        2.35000e+01   3.30000e+00   0.00000e+00   1.48309e+02
-   3  sg_p2        6.49999e+02   1.50000e+01   0.00000e+00  -3.99059e-01
-   4  sg_p3        4.46355e+01   1.20000e+01  -4.36469e-01  -2.16258e-01
-   5  sg_p4        8.50000e-01   3.00000e-02   0.00000e+00  -1.69494e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM MIGRAD    STATUS=CONVERGED     189 CALLS         190 TOTAL
-                     EDM=4.23148e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.50000e+02   1.77338e-02   2.11221e-03** at limit **
-   2  sg_p1        2.19855e+01   6.05458e-01   1.90519e-03  -1.38620e-01
-   3  sg_p2        6.50000e+02   1.06015e+00   1.25262e-02** at limit **
-   4  sg_p3        5.36334e+01   7.33056e+00   5.16765e-03  -5.62178e-02
-   5  sg_p4        9.02830e-01   3.32252e-02   8.34638e-03   5.03701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  1.247e-08 -1.236e-12 -3.833e-09  1.281e-10 
-  1.247e-08  3.667e-01  8.771e-05  2.567e+00  1.472e-02 
- -1.236e-12  8.771e-05  4.483e-05  1.134e-03  7.012e-06 
- -3.833e-09  2.567e+00  1.134e-03  5.403e+01  2.060e-01 
-  1.281e-10  1.472e-02  7.012e-06  2.060e-01  1.125e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00113   1.000  0.001 -0.000 -0.000  0.000
-        2  0.72667   0.001  1.000  0.022  0.577  0.725
-        3  0.03177  -0.000  0.022  1.000  0.023  0.031
-        4  0.83644  -0.000  0.577  0.023  1.000  0.835
-        5  0.88683   0.000  0.725  0.031  0.835  1.000
- **********
- **   18 **HESSE        2500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11875.1 FROM HESSE     STATUS=OK             31 CALLS         221 TOTAL
-                     EDM=4.17857e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.50000e+02   1.77339e-02   4.22443e-04   1.57078e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   2  sg_p1        2.19855e+01   6.07305e-01   3.81037e-04  -9.19155e-02
-   3  sg_p2        6.50000e+02   1.05933e+00   2.50525e-03   1.57133e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   4  sg_p3        5.36334e+01   7.38443e+00   2.06706e-04  -2.76278e-01
-   5  sg_p4        9.02830e-01   3.34620e-02   1.66928e-03   3.59921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  5    ERR DEF=0.5
-  5.580e-10  2.310e-09 -6.277e-14 -8.650e-10  2.316e-11 
-  2.310e-09  3.690e-01  2.329e-05  2.608e+00  1.491e-02 
- -6.277e-14  2.329e-05  4.479e-05  3.022e-04  1.863e-06 
- -8.650e-10  2.608e+00  3.022e-04  5.483e+01  2.097e-01 
-  2.316e-11  1.491e-02  1.863e-06  2.097e-01  1.142e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4      5
-        1  0.00021   1.000  0.000 -0.000 -0.000  0.000
-        2  0.72864   0.000  1.000  0.006  0.580  0.727
-        3  0.00839  -0.000  0.006  1.000  0.006  0.008
-        4  0.83905  -0.000  0.580  0.006  1.000  0.838
-        5  0.88856   0.000  0.727  0.008  0.838  1.000
-650
-650 +- 0.0177339
-21.9855 +- 0.607305
-35.9 fb^{-1} (13 TeV)
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 17 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 18 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 20 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 21 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 22 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 23 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 24 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 26 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 31 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 35 has zero error, setting residual to zero
-[#0] WARNING:Plotting -- RooHist::makeResisHist(h_signalHistogram) WARNING: point 41 has zero error, setting residual to zero
-   Uncertainty on sg_p0 = 650 +- 0.0189845 (stat) - 1.56965e-07 + 8.69034e-09 (syst); -0.00949226/+0.00949226 (total)
-   Uncertainty on sg_p1 = 21.9547 +- 0.628139 (stat) - 1.34059 + 0.54216 (syst); -1.37689/+0.62656 (total)
-   Uncertainty on sg_p2 = 650 +- 1.12399 (stat) - 0 + 1.14208e-05 (syst); -0.561993/+0.561993 (total)
-   Uncertainty on sg_p3 = 53.5044 +- 7.59176 (stat) - 9.66364 + 0.356475 (syst); -10.3824/+3.81258 (total)
-   Uncertainty on sg_p4 = 0.902474 +- 0.0346722 (stat) - 0.0585604 + 0.00172451 (syst); -0.0610726/+0.0174217 (total) 
-   === Baseline plot === </br>
-   norm = 1859.61
-JEC     lnN   1.0047  -
-JER     lnN   1.01327  -
-btag    lnN   1.06919  -
-sg_p0   param   650 -0.00949226/+0.00949226
-sg_p1   param   21.9547 -1.37689/+0.62656
-sg_p2   param   650  -0.561993/+0.561993
-sg_p3   param   53.5044  -10.3824/+3.81258
-sg_p4   param   0.902474  -0.0610726/+0.0174217 
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/draw_limits.c b/PreselectedWithRegressionDeepCSV/limits/LMR/draw_limits.c
deleted file mode 100644
index 35c9441..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/LMR/draw_limits.c
+++ /dev/null
@@ -1,8 +0,0 @@
-{
-  //std::vector<double> masses={260, 270, 300};
-  std::vector<double> masses_1={260, 265, 270, 275, 280, 285, 290, 295, 300, 310, 320};
-  std::vector<double> masses_2={290, 295, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600};
-  gROOT->LoadMacro("DrawLimitPlot.cc++");
-  DrawLimitPlot(masses_1, 10, 1e5, "gaus_exp_250_330", 0);
-  DrawLimitPlot(masses_2, 10, 1e5, "novo_285_625", 0);
-}
diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/fig/linearmorph_260_270.pdf b/PreselectedWithRegressionDeepCSV/limits/LMR/fig/linearmorph_260_270.pdf
deleted file mode 100644
index 7f94f4088881bc35c8a92f8be28462eeca1af9e4..0000000000000000000000000000000000000000
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diff --git a/PreselectedWithRegressionDeepCSV/limits/LMR/fig/linearmorph_270_300.png b/PreselectedWithRegressionDeepCSV/limits/LMR/fig/linearmorph_270_300.png
deleted file mode 100644
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As{jB1

diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
deleted file mode 100644
index b46bc55..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.040
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00212474  -1.5425/+1.8419  (68% CL)
-nll S+B -> -1.19128e-05  nll B -> -1.23307e-05
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
deleted file mode 100644
index 98903ee..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 4.276406:	q_mu = 3.83385	q_A  = 3.83365	CLsb = 0.02511	CLb  = 0.49998	CLs  = 0.05023
-
- -- Asymptotic -- 
-Observed Limit: r < 4.2764
-Expected  2.5%: r < 1.9974
-Expected 16.0%: r < 2.8148
-Expected 50.0%: r < 4.2969
-Expected 84.0%: r < 6.9345
-Expected 97.5%: r < 11.1979
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt
deleted file mode 100644
index 3d13d0b..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  6.61454 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.35523    -
-JER       lnN     1.0152   - 
-JEC       lnN     1.01006   -
-trigger   lnN     1.10    -
-PDF       lnN     1.03016737915   -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 5768702..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=17.9412 FROM MIGRAD    STATUS=CONVERGED      82 CALLS          83 TOTAL
-                     EDM=1.43821e-08    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     9.72377e+00   1.32726e+00   2.28094e-03  -1.17855e-04
-   2  Mean         9.96311e-01   4.40706e-03   8.75365e-06  -2.32534e-02
-   3  Sigma        3.01674e-02   3.89013e-03   7.78171e-05  -4.31616e-03
-0.996310506796 +/- 0.00440706428391
-0.0301673791494 +/- 0.00389013367801
-PDF lnN 1.03016737915
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log
deleted file mode 100644
index 626a232..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log
+++ /dev/null
@@ -1,945 +0,0 @@
-
-Processing test.c...
-nSignal_init = 50000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24889.5 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.22453e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.53589e+02
-   3  sg_p2        9.89758e-01   5.00000e-01   0.00000e+00   2.96541e+02
-   4  sg_p3        7.78994e-01   7.00000e-01  -8.90570e-01   5.10370e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.15992e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.90383e+02   1.26314e+00   1.88989e-03   1.21344e-01
-   2  sg_p1        4.50000e+01   1.21905e-01   1.69196e-02** at limit **
-   3  sg_p2        1.02011e+00   4.11152e-02   1.91933e-03   2.89472e-02
-   4  sg_p3        1.18700e+00   6.01449e-02   1.87537e-03   1.46355e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.596e+00  4.010e-06  2.573e-02 -4.941e-02 
-  4.010e-06  1.885e-07 -1.275e-07 -4.838e-07 
-  2.573e-02 -1.275e-07  1.691e-03 -5.988e-04 
- -4.941e-02 -4.838e-07 -5.988e-04  3.618e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73763   1.000  0.007  0.495 -0.650
-        2  0.02208   0.007  1.000 -0.007 -0.019
-        3  0.50646   0.495 -0.007  1.000 -0.242
-        4  0.65685  -0.650 -0.019 -0.242  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=1.17259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.90383e+02   1.26342e+00   3.77979e-04  -1.93551e-01
-   2  sg_p1        4.50000e+01   1.21891e-01   3.38391e-03   1.57107e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.02011e+00   4.11293e-02   7.67732e-05  -6.33481e-01
-   4  sg_p3        1.18700e+00   6.01270e-02   7.50148e-05  -7.21959e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.597e+00  9.064e-07  2.577e-02 -4.939e-02 
-  9.064e-07  1.885e-07 -2.868e-08 -1.091e-07 
-  2.577e-02 -2.868e-08  1.692e-03 -5.978e-04 
- -4.939e-02 -1.091e-07 -5.978e-04  3.616e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73776   1.000  0.002  0.496 -0.650
-        2  0.00498   0.002  1.000 -0.002 -0.004
-        3  0.50696   0.496 -0.002  1.000 -0.242
-        4  0.65659  -0.650 -0.004 -0.242  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-990.383 +- 1.26342
-45 +- 0.121891
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24403.1 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.26882e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.93966e+02
-   3  sg_p2        9.63072e-01   5.00000e-01   0.00000e+00   2.31928e+02
-   4  sg_p3        8.86770e-01   7.00000e-01  -8.42993e-01   8.03262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=6.49551e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.95493e+02   9.33476e-01   1.79739e-03  -1.13004e-01
-   2  sg_p1        4.50000e+01   1.21162e-01   1.67946e-02** at limit **
-   3  sg_p2        1.13607e+00   4.42015e-02   2.25943e-03  -2.24141e-01
-   4  sg_p3        1.13155e+00   4.13228e-02   1.53138e-03   2.62522e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  8.715e-01  4.578e-06  3.814e-04 -1.748e-02 
-  4.578e-06  9.111e-07 -4.559e-07 -5.336e-07 
-  3.814e-04 -4.559e-07  1.954e-03  1.592e-04 
- -1.748e-02 -5.336e-07  1.592e-04  1.708e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.45573   1.000  0.005  0.009 -0.453
-        2  0.01663   0.005  1.000 -0.011 -0.014
-        3  0.10332   0.009 -0.011  1.000  0.087
-        4  0.46232  -0.453 -0.014  0.087  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=9.33859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.95493e+02   1.04671e+00   3.59477e-04  -9.02624e-02
-   2  sg_p1        4.50000e+01   1.21173e-01   3.35892e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.13607e+00   4.95685e-02   4.51887e-04  -5.77071e-01
-   4  sg_p3        1.13155e+00   4.14941e-02   3.06277e-04  -7.43270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.096e+00  5.239e-08  2.349e-02 -1.999e-02 
-  5.239e-08  9.112e-07 -6.164e-08 -6.151e-08 
-  2.349e-02 -6.164e-08  2.457e-03 -2.607e-04 
- -1.999e-02 -6.151e-08 -2.607e-04  1.722e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60817   1.000  0.000  0.453 -0.460
-        2  0.00217   0.000  1.000 -0.001 -0.002
-        3  0.46189   0.453 -0.001  1.000 -0.127
-        4  0.46928  -0.460 -0.002 -0.127  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-995.493 +- 1.04671
-45 +- 0.121173
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=25056.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   4.08464e+01
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.81870e+02
-   3  sg_p2        1.21059e+00   5.00000e-01   0.00000e+00   5.34510e+02
-   4  sg_p3        6.71391e-01   7.00000e-01  -2.20055e+00  -8.87064e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=5.5921e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.84744e+02   1.19560e+00   1.95809e-03   2.95439e-02
-   2  sg_p1        4.50000e+01   1.21031e-01   1.69661e-02** at limit **
-   3  sg_p2        9.63081e-01   3.97444e-02   1.82185e-03  -6.76282e-03
-   4  sg_p3        1.23132e+00   5.50596e-02   1.88577e-03  -4.12979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.430e+00 -3.803e-08  2.612e-02  3.540e-02 
- -3.803e-08  3.884e-10 -9.020e-09  1.301e-08 
-  2.612e-02 -9.020e-09  1.580e-03  4.623e-04 
-  3.540e-02  1.301e-08  4.623e-04  3.032e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69869   1.000 -0.002  0.550  0.538
-        2  0.01886  -0.002  1.000 -0.012  0.012
-        3  0.55874   0.550 -0.012  1.000  0.211
-        4  0.54722   0.538  0.012  0.211  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM HESSE     STATUS=OK             23 CALLS         252 TOTAL
-                     EDM=5.61522e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.84744e+02   1.19463e+00   7.83235e-05  -3.10063e-01
-   2  sg_p1        4.50000e+01   1.21032e-01   3.39322e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        9.63081e-01   3.97567e-02   7.28742e-05  -6.62091e-01
-   4  sg_p3        1.23132e+00   5.49819e-02   7.54308e-05  -2.43638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.427e+00 -7.637e-09  2.613e-02  3.521e-02 
- -7.637e-09  3.884e-10 -1.811e-09  2.617e-09 
-  2.613e-02 -1.811e-09  1.581e-03  4.609e-04 
-  3.521e-02  2.617e-09  4.609e-04  3.023e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69809   1.000 -0.000  0.550  0.536
-        2  0.00379  -0.000  1.000 -0.002  0.002
-        3  0.55912   0.550 -0.002  1.000  0.211
-        4  0.54541   0.536  0.002  0.211  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-984.744 +- 1.19463
-45 +- 0.121032
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23747 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   1.99056e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.60594e+02
-   3  sg_p2        9.21832e-01   5.00000e-01   0.00000e+00   1.22069e+02
-   4  sg_p3        1.41673e+00   7.00000e-01  -6.37540e-01   4.87774e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=7.40636e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01658e+03   8.13144e-01   2.06376e-03  -3.76416e-01
-   2  sg_p1        4.00000e+01   4.68280e-01   3.89370e-02** at limit **
-   3  sg_p2        1.22240e+00   5.07108e-02   2.32615e-03   2.98325e-01
-   4  sg_p3        1.49206e+00   7.79105e-02   2.55089e-03  -7.56703e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.613e-01  1.056e-05  1.493e-02 -2.862e-02 
-  1.056e-05  1.856e-06 -2.776e-06 -7.148e-06 
-  1.493e-02 -2.776e-06  2.572e-03 -4.218e-04 
- -2.862e-02 -7.148e-06 -4.218e-04  6.072e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55096   1.000  0.010  0.362 -0.452
-        2  0.08279   0.010  1.000 -0.040 -0.067
-        3  0.36961   0.362 -0.040  1.000 -0.107
-        4  0.45964  -0.452 -0.067 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM HESSE     STATUS=OK             23 CALLS         272 TOTAL
-                     EDM=7.50694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01658e+03   8.10249e-01   4.12751e-04   4.50469e-02
-   2  sg_p1        4.00000e+01   4.69104e-01   7.78740e-03   1.57131e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22240e+00   5.04194e-02   4.65229e-04  -5.36395e-01
-   4  sg_p3        1.49206e+00   7.77461e-02   1.02036e-04  -6.11014e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.566e-01  2.550e-06  1.440e-02 -2.848e-02 
-  2.550e-06  1.859e-06 -6.023e-07 -1.591e-06 
-  1.440e-02 -6.023e-07  2.543e-03 -4.084e-04 
- -2.848e-02 -1.591e-06 -4.084e-04  6.046e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54642   1.000  0.002  0.353 -0.452
-        2  0.01831   0.002  1.000 -0.009 -0.015
-        3  0.35800   0.353 -0.009  1.000 -0.104
-        4  0.45596  -0.452 -0.015 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.58 +- 0.810249
-40 +- 0.469104
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23321 FROM MIGRAD    STATUS=INITIATE       62 CALLS          63 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -2.15456e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   8.44246e+00
-   3  sg_p2        8.58947e-01   5.00000e-01   0.00000e+00   1.85345e+02
-   4  sg_p3        9.45698e-01   7.00000e-01  -8.18030e-01  -4.63007e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             25 CALLS         397 TOTAL
-                     EDM=0.00260498    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01832e+03   7.86712e-01   2.07176e-03   2.20958e+00
-   2  sg_p1        3.99993e+01   1.77184e+00   7.04451e-02  -2.46019e-02
-   3  sg_p2        1.21002e+00   5.23460e-02   1.24212e-03  -3.03189e+00
-   4  sg_p3        1.46453e+00   6.41490e-02   2.20715e-03   4.63062e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23288 FROM MIGRAD    STATUS=CONVERGED     405 CALLS         406 TOTAL
-                     EDM=3.27684e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.7 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01831e+03   7.85112e-01  -4.32924e-04  -2.09259e-02
-   2  sg_p1        3.99999e+01   1.83061e+00   8.35977e-03  -1.12946e-02
-   3  sg_p2        1.21288e+00   5.27607e-02   1.33598e-03  -8.93872e-02
-   4  sg_p3        1.46454e+00   6.41540e-02   6.09141e-06  -1.12247e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.165e-01 -9.032e-04  1.537e-02 -1.778e-02 
- -9.032e-04  7.440e-04 -2.479e-05 -1.812e-04 
-  1.537e-02 -2.479e-05  2.784e-03 -1.646e-04 
- -1.778e-02 -1.812e-04 -1.646e-04  4.116e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.50511   1.000 -0.042  0.371 -0.353
-        2  0.13383  -0.042  1.000 -0.017 -0.104
-        3  0.38141   0.371 -0.017  1.000 -0.049
-        4  0.38267  -0.353 -0.104 -0.049  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             27 CALLS         433 TOTAL
-                     EDM=6.045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01831e+03   7.86243e-01   2.07195e-03   9.46567e-02
-   2  sg_p1        3.99999e+01   1.65716e+00   2.81780e-02   1.56570e+00
-   3  sg_p2        1.21288e+00   5.23867e-02   2.37732e-03  -5.40830e-01
-   4  sg_p3        1.46454e+00   6.37794e-02   2.20581e-03  -6.20643e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.183e-01 -1.323e-04  1.524e-02 -1.755e-02 
- -1.323e-04  6.707e-04 -5.377e-05 -7.207e-05 
-  1.524e-02 -5.377e-05  2.745e-03 -2.465e-04 
- -1.755e-02 -7.207e-05 -2.465e-04  4.068e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49151   1.000 -0.006  0.370 -0.350
-        2  0.06175  -0.006  1.000 -0.040 -0.044
-        3  0.37636   0.370 -0.040  1.000 -0.074
-        4  0.35760  -0.350 -0.044 -0.074  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1018.31 +- 0.786243
-39.9999 +- 1.65716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23875.8 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   4.43398e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.77680e+02
-   3  sg_p2        9.21219e-01   5.00000e-01   0.00000e+00   7.52454e+00
-   4  sg_p3        1.40649e+00   7.00000e-01  -6.41185e-01   5.95628e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=7.75608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01285e+03   8.33665e-01   2.07912e-03   1.70866e-02
-   2  sg_p1        3.98091e+01   8.48923e-01   3.16082e-02  -1.03759e-02
-   3  sg_p2        1.12381e+00   5.95622e-02   2.13485e-03   3.30200e-01
-   4  sg_p3        1.54010e+00   8.22224e-02   2.41055e-03  -1.53820e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.951e-01  2.065e-01  2.518e-02 -6.574e-03 
-  2.065e-01  6.697e-01  3.047e-02  3.584e-02 
-  2.518e-02  3.047e-02  3.549e-03  1.365e-03 
- -6.574e-03  3.584e-02  1.365e-03  6.762e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.57532   1.000  0.303  0.507 -0.096
-        2  0.73404   0.303  1.000  0.625  0.533
-        3  0.70991   0.507  0.625  1.000  0.279
-        4  0.59907  -0.096  0.533  0.279  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=7.73708e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01285e+03   8.49657e-01   4.15824e-04  -6.14668e-02
-   2  sg_p1        3.98091e+01   1.04461e+00   1.26433e-03   1.34471e+00
-   3  sg_p2        1.12381e+00   6.43212e-02   4.26970e-04  -5.82935e-01
-   4  sg_p3        1.54010e+00   8.72084e-02   9.64222e-05  -5.94353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.221e-01  2.723e-01  2.914e-02 -1.973e-03 
-  2.723e-01  8.279e-01  4.043e-02  4.780e-02 
-  2.914e-02  4.043e-02  4.139e-03  2.068e-03 
- -1.973e-03  4.780e-02  2.068e-03  7.608e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59661   1.000  0.352  0.533 -0.027
-        2  0.79068   0.352  1.000  0.691  0.602
-        3  0.75807   0.533  0.691  1.000  0.369
-        4  0.65582  -0.027  0.602  0.369  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1012.85 +- 0.849657
-39.8091 +- 1.04461
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23239.4 FROM MIGRAD    STATUS=INITIATE       64 CALLS          65 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.27750e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   1.26948e-01
-   3  sg_p2        8.74738e-01   5.00000e-01   0.00000e+00   1.80702e+02
-   4  sg_p3        9.26595e-01   7.00000e-01  -8.26048e-01  -4.27618e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=0.00014251    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01577e+03   8.64818e-01   2.10463e-03   2.40523e-01
-   2  sg_p1        3.99999e+01   1.00303e+00   5.37328e-02  -1.94869e-02
-   3  sg_p2        1.13318e+00   5.62974e-02   2.39200e-03  -5.76330e-02
-   4  sg_p3        1.52247e+00   6.86424e-02   2.34430e-03   1.64373e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.481e-01 -1.096e-03  2.562e-02 -1.857e-02 
- -1.096e-03  4.530e-04 -1.315e-04 -8.807e-05 
-  2.562e-02 -1.315e-04  3.170e-03 -3.976e-04 
- -1.857e-02 -8.807e-05 -3.976e-04  4.713e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.58719   1.000 -0.060  0.526 -0.313
-        2  0.13360  -0.060  1.000 -0.110 -0.060
-        3  0.53513   0.526 -0.110  1.000 -0.103
-        4  0.32913  -0.313 -0.060 -0.103  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM HESSE     STATUS=OK             29 CALLS         267 TOTAL
-                     EDM=0.000133982    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01577e+03   8.73102e-01   4.20925e-04   2.20882e-02
-   2  sg_p1        3.99999e+01   1.01940e+00   2.14931e-03   1.56537e+00
-   3  sg_p2        1.13318e+00   5.62622e-02   9.56802e-05  -5.78450e-01
-   4  sg_p3        1.52247e+00   7.21948e-02   7.98704e-02  -6.00445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.625e-01  2.144e-04  2.611e-02 -2.173e-02 
-  2.144e-04  4.606e-04  2.659e-05  2.032e-05 
-  2.611e-02  2.659e-05  3.166e-03 -5.636e-04 
- -2.173e-02  2.032e-05 -5.636e-04  5.213e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59764   1.000  0.011  0.531 -0.345
-        2  0.02791   0.011  1.000  0.022  0.013
-        3  0.53363   0.531  0.022  1.000 -0.139
-        4  0.34900  -0.345  0.013 -0.139  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1015.77 +- 0.873102
-39.9999 +- 1.0194
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23904.2 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.58334e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -6.45414e+00
-   3  sg_p2        9.40575e-01   5.00000e-01   0.00000e+00   2.02619e+02
-   4  sg_p3        9.50207e-01   7.00000e-01  -8.16148e-01  -4.42963e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM MIGRAD    STATUS=CONVERGED     250 CALLS         251 TOTAL
-                     EDM=1.36548e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01639e+03   7.28586e-01   2.01823e-03  -1.76359e-02
-   2  sg_p1        4.00000e+01   7.49353e-01   4.69202e-02  -5.91552e-03
-   3  sg_p2        1.26989e+00   5.63661e-02   2.54093e-03   8.80770e-02
-   4  sg_p3        1.53945e+00   6.56083e-02   2.27702e-03  -7.24550e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.309e-01 -7.297e-05  1.348e-02 -1.019e-02 
- -7.297e-05  1.681e-05 -1.973e-05 -2.021e-05 
-  1.348e-02 -1.973e-05  3.178e-03  5.005e-04 
- -1.019e-02 -2.021e-05  5.005e-04  4.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41880   1.000 -0.024  0.328 -0.213
-        2  0.10777  -0.024  1.000 -0.085 -0.075
-        3  0.39425   0.328 -0.085  1.000  0.135
-        4  0.31076  -0.213 -0.075  0.135  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM HESSE     STATUS=OK             23 CALLS         274 TOTAL
-                     EDM=1.44816e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01639e+03   7.40109e-01   4.03646e-04   3.97032e-02
-   2  sg_p1        4.00000e+01   7.56384e-01   9.38403e-03   1.56958e+00
-   3  sg_p2        1.26989e+00   5.58118e-02   1.01637e-04  -5.14435e-01
-   4  sg_p3        1.53945e+00   6.43105e-02   9.10809e-05  -5.94577e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.478e-01 -1.128e-05  1.525e-02 -1.306e-02 
- -1.128e-05  1.697e-05 -2.641e-06 -2.503e-06 
-  1.525e-02 -2.641e-06  3.116e-03 -1.984e-04 
- -1.306e-02 -2.503e-06 -1.984e-04  4.137e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44819   1.000 -0.004  0.369 -0.274
-        2  0.01546  -0.004  1.000 -0.011 -0.009
-        3  0.37224   0.369 -0.011  1.000 -0.055
-        4  0.27895  -0.274 -0.009 -0.055  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.39 +- 0.740109
-40 +- 0.756384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16426.3 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   2.76971e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -7.40412e+01
-   3  sg_p2        7.53407e-01   5.00000e-01   0.00000e+00  -2.61313e+02
-   4  sg_p3        1.41708e+00   7.00000e-01  -6.37416e-01   3.61680e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.2739e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01657e+03   9.77555e-01   2.06312e-03  -3.61028e-03
-   2  sg_p1        4.00000e+01   6.78180e-01   3.73477e-02  -7.76696e-03
-   3  sg_p2        1.22238e+00   6.09231e-02   2.33024e-03  -3.84112e-02
-   4  sg_p3        1.49153e+00   9.35612e-02   2.57411e-03  -3.75876e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.559e-01  3.743e-05  2.152e-02 -4.133e-02 
-  3.743e-05  2.111e-05 -9.720e-06 -2.510e-05 
-  2.152e-02 -9.720e-06  3.713e-03 -6.103e-04 
- -4.133e-02 -2.510e-05 -6.103e-04  8.757e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55051   1.000  0.008  0.361 -0.452
-        2  0.07170   0.008  1.000 -0.035 -0.058
-        3  0.36817   0.361 -0.035  1.000 -0.107
-        4  0.45868  -0.452 -0.058 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM HESSE     STATUS=OK             23 CALLS         228 TOTAL
-                     EDM=1.33694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01657e+03   9.74476e-01   4.12624e-04   4.48931e-02
-   2  sg_p1        4.00000e+01   6.79952e-01   7.46954e-03   1.56937e+00
-   3  sg_p2        1.22238e+00   6.06205e-02   9.32097e-05  -5.36402e-01
-   4  sg_p3        1.49153e+00   9.34142e-02   1.02965e-04  -6.11196e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.499e-01  5.447e-06  2.083e-02 -4.116e-02 
-  5.447e-06  2.117e-05 -1.283e-06 -3.388e-06 
-  2.083e-02 -1.283e-06  3.676e-03 -5.904e-04 
- -4.116e-02 -3.388e-06 -5.904e-04  8.729e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54649   1.000  0.001  0.353 -0.452
-        2  0.00962   0.001  1.000 -0.005 -0.008
-        3  0.35791   0.353 -0.005  1.000 -0.104
-        4  0.45594  -0.452 -0.008 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.57 +- 0.974476
-40 +- 0.679952
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33287.9 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   3.29127e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -2.09458e+02
-   3  sg_p2        8.91728e-01   5.00000e-01   0.00000e+00   7.37516e+01
-   4  sg_p3        1.41601e+00   7.00000e-01  -6.37796e-01   6.89934e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=5.9663e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01659e+03   6.86602e-01   2.06298e-03   6.23454e-02
-   2  sg_p1        4.00000e+01   3.36413e-01   3.74809e-02** at limit **
-   3  sg_p2        1.22194e+00   4.27738e-02   2.32926e-03  -6.40806e-02
-   4  sg_p3        1.49222e+00   6.57997e-02   2.57024e-03  -1.52134e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.715e-01  8.305e-06  1.061e-02 -2.041e-02 
-  8.305e-06  1.928e-06 -2.165e-06 -5.598e-06 
-  1.061e-02 -2.165e-06  1.830e-03 -3.008e-04 
- -2.041e-02 -5.598e-06 -3.008e-04  4.330e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55055   1.000  0.009  0.361 -0.452
-        2  0.07527   0.009  1.000 -0.036 -0.061
-        3  0.36846   0.361 -0.036  1.000 -0.107
-        4  0.45894  -0.452 -0.061 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=6.1799e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01659e+03   6.84411e-01   4.12596e-04   4.54194e-02
-   2  sg_p1        4.00000e+01   3.37160e-01   7.49617e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22194e+00   4.25566e-02   9.31704e-05  -5.36608e-01
-   4  sg_p3        1.49222e+00   6.56863e-02   1.02809e-04  -6.10958e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.685e-01  1.563e-06  1.027e-02 -2.032e-02 
-  1.563e-06  1.932e-06 -3.692e-07 -9.768e-07 
-  1.027e-02 -3.692e-07  1.811e-03 -2.913e-04 
- -2.032e-02 -9.768e-07 -2.913e-04  4.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54648   1.000  0.002  0.353 -0.452
-        2  0.01305   0.002  1.000 -0.006 -0.011
-        3  0.35799   0.353 -0.006  1.000 -0.104
-        4  0.45593  -0.452 -0.011 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.59 +- 0.684411
-40 +- 0.33716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 1016.58 +- 0.810249 (stat) - 3.72609 + 1.73193 (syst); -3.74805/+1.77868 (total)
-   Uncertainty on sg_p1 = 40 +- 0.469104 (stat) - 0.190863 + 0 (syst); -0.302396/+0.234552 (total)
-   Uncertainty on sg_p2 = 1.2224 +- 0.0504194 (stat) - 0.0985888 + 0.0474949 (syst); -0.101761/+0.0537708 (total)
-   Uncertainty on sg_p3 = 1.49206 +- 0.0777461 (stat) - 0.0275125 + 0.0480377 (syst); -0.0476241/+0.0617959 (total)
-   === Baseline plot === </br>
-   norm = 330.727
-JEC     lnN   1.01006  -
-JER     lnN   1.0152  -
-btag    lnN   1.35523  -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
deleted file mode 100644
index 5444117..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0131779  -0.0131779/+2.08676  (68% CL)
-nll S+B -> -0.000980195  nll B -> -0.000957607
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
deleted file mode 100644
index 1447537..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 4.766249:	q_mu = 3.84627	q_A  = 3.84648	CLsb = 0.02493	CLb  = 0.50002	CLs  = 0.04985
-
- -- Asymptotic -- 
-Observed Limit: r < 4.7662
-Expected  2.5%: r < 2.2618
-Expected 16.0%: r < 3.1518
-Expected 50.0%: r < 4.7656
-Expected 84.0%: r < 7.6150
-Expected 97.5%: r < 12.2889
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
deleted file mode 100644
index 90070d8..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  6.61454 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.35523    -
-JER       lnN     1.0152   - 
-JEC       lnN     1.01006   -
-trigger   lnN     1.10    -
-PDF       lnN     1.03016737915   -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/pdf.log
deleted file mode 100644
index 5768702..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=17.9412 FROM MIGRAD    STATUS=CONVERGED      82 CALLS          83 TOTAL
-                     EDM=1.43821e-08    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     9.72377e+00   1.32726e+00   2.28094e-03  -1.17855e-04
-   2  Mean         9.96311e-01   4.40706e-03   8.75365e-06  -2.32534e-02
-   3  Sigma        3.01674e-02   3.89013e-03   7.78171e-05  -4.31616e-03
-0.996310506796 +/- 0.00440706428391
-0.0301673791494 +/- 0.00389013367801
-PDF lnN 1.03016737915
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/signal1000_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/signal1000_sig.log
deleted file mode 100644
index 626a232..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_1000_novo_550_1200/signal1000_sig.log
+++ /dev/null
@@ -1,945 +0,0 @@
-
-Processing test.c...
-nSignal_init = 50000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24889.5 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.22453e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.53589e+02
-   3  sg_p2        9.89758e-01   5.00000e-01   0.00000e+00   2.96541e+02
-   4  sg_p3        7.78994e-01   7.00000e-01  -8.90570e-01   5.10370e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.15992e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.90383e+02   1.26314e+00   1.88989e-03   1.21344e-01
-   2  sg_p1        4.50000e+01   1.21905e-01   1.69196e-02** at limit **
-   3  sg_p2        1.02011e+00   4.11152e-02   1.91933e-03   2.89472e-02
-   4  sg_p3        1.18700e+00   6.01449e-02   1.87537e-03   1.46355e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.596e+00  4.010e-06  2.573e-02 -4.941e-02 
-  4.010e-06  1.885e-07 -1.275e-07 -4.838e-07 
-  2.573e-02 -1.275e-07  1.691e-03 -5.988e-04 
- -4.941e-02 -4.838e-07 -5.988e-04  3.618e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73763   1.000  0.007  0.495 -0.650
-        2  0.02208   0.007  1.000 -0.007 -0.019
-        3  0.50646   0.495 -0.007  1.000 -0.242
-        4  0.65685  -0.650 -0.019 -0.242  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=1.17259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.90383e+02   1.26342e+00   3.77979e-04  -1.93551e-01
-   2  sg_p1        4.50000e+01   1.21891e-01   3.38391e-03   1.57107e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.02011e+00   4.11293e-02   7.67732e-05  -6.33481e-01
-   4  sg_p3        1.18700e+00   6.01270e-02   7.50148e-05  -7.21959e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.597e+00  9.064e-07  2.577e-02 -4.939e-02 
-  9.064e-07  1.885e-07 -2.868e-08 -1.091e-07 
-  2.577e-02 -2.868e-08  1.692e-03 -5.978e-04 
- -4.939e-02 -1.091e-07 -5.978e-04  3.616e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73776   1.000  0.002  0.496 -0.650
-        2  0.00498   0.002  1.000 -0.002 -0.004
-        3  0.50696   0.496 -0.002  1.000 -0.242
-        4  0.65659  -0.650 -0.004 -0.242  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-990.383 +- 1.26342
-45 +- 0.121891
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24403.1 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.26882e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.93966e+02
-   3  sg_p2        9.63072e-01   5.00000e-01   0.00000e+00   2.31928e+02
-   4  sg_p3        8.86770e-01   7.00000e-01  -8.42993e-01   8.03262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=6.49551e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.95493e+02   9.33476e-01   1.79739e-03  -1.13004e-01
-   2  sg_p1        4.50000e+01   1.21162e-01   1.67946e-02** at limit **
-   3  sg_p2        1.13607e+00   4.42015e-02   2.25943e-03  -2.24141e-01
-   4  sg_p3        1.13155e+00   4.13228e-02   1.53138e-03   2.62522e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  8.715e-01  4.578e-06  3.814e-04 -1.748e-02 
-  4.578e-06  9.111e-07 -4.559e-07 -5.336e-07 
-  3.814e-04 -4.559e-07  1.954e-03  1.592e-04 
- -1.748e-02 -5.336e-07  1.592e-04  1.708e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.45573   1.000  0.005  0.009 -0.453
-        2  0.01663   0.005  1.000 -0.011 -0.014
-        3  0.10332   0.009 -0.011  1.000  0.087
-        4  0.46232  -0.453 -0.014  0.087  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=9.33859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.95493e+02   1.04671e+00   3.59477e-04  -9.02624e-02
-   2  sg_p1        4.50000e+01   1.21173e-01   3.35892e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.13607e+00   4.95685e-02   4.51887e-04  -5.77071e-01
-   4  sg_p3        1.13155e+00   4.14941e-02   3.06277e-04  -7.43270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.096e+00  5.239e-08  2.349e-02 -1.999e-02 
-  5.239e-08  9.112e-07 -6.164e-08 -6.151e-08 
-  2.349e-02 -6.164e-08  2.457e-03 -2.607e-04 
- -1.999e-02 -6.151e-08 -2.607e-04  1.722e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60817   1.000  0.000  0.453 -0.460
-        2  0.00217   0.000  1.000 -0.001 -0.002
-        3  0.46189   0.453 -0.001  1.000 -0.127
-        4  0.46928  -0.460 -0.002 -0.127  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-995.493 +- 1.04671
-45 +- 0.121173
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=25056.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   4.08464e+01
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.81870e+02
-   3  sg_p2        1.21059e+00   5.00000e-01   0.00000e+00   5.34510e+02
-   4  sg_p3        6.71391e-01   7.00000e-01  -2.20055e+00  -8.87064e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=5.5921e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.84744e+02   1.19560e+00   1.95809e-03   2.95439e-02
-   2  sg_p1        4.50000e+01   1.21031e-01   1.69661e-02** at limit **
-   3  sg_p2        9.63081e-01   3.97444e-02   1.82185e-03  -6.76282e-03
-   4  sg_p3        1.23132e+00   5.50596e-02   1.88577e-03  -4.12979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.430e+00 -3.803e-08  2.612e-02  3.540e-02 
- -3.803e-08  3.884e-10 -9.020e-09  1.301e-08 
-  2.612e-02 -9.020e-09  1.580e-03  4.623e-04 
-  3.540e-02  1.301e-08  4.623e-04  3.032e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69869   1.000 -0.002  0.550  0.538
-        2  0.01886  -0.002  1.000 -0.012  0.012
-        3  0.55874   0.550 -0.012  1.000  0.211
-        4  0.54722   0.538  0.012  0.211  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM HESSE     STATUS=OK             23 CALLS         252 TOTAL
-                     EDM=5.61522e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.84744e+02   1.19463e+00   7.83235e-05  -3.10063e-01
-   2  sg_p1        4.50000e+01   1.21032e-01   3.39322e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        9.63081e-01   3.97567e-02   7.28742e-05  -6.62091e-01
-   4  sg_p3        1.23132e+00   5.49819e-02   7.54308e-05  -2.43638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.427e+00 -7.637e-09  2.613e-02  3.521e-02 
- -7.637e-09  3.884e-10 -1.811e-09  2.617e-09 
-  2.613e-02 -1.811e-09  1.581e-03  4.609e-04 
-  3.521e-02  2.617e-09  4.609e-04  3.023e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69809   1.000 -0.000  0.550  0.536
-        2  0.00379  -0.000  1.000 -0.002  0.002
-        3  0.55912   0.550 -0.002  1.000  0.211
-        4  0.54541   0.536  0.002  0.211  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-984.744 +- 1.19463
-45 +- 0.121032
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23747 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   1.99056e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.60594e+02
-   3  sg_p2        9.21832e-01   5.00000e-01   0.00000e+00   1.22069e+02
-   4  sg_p3        1.41673e+00   7.00000e-01  -6.37540e-01   4.87774e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=7.40636e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01658e+03   8.13144e-01   2.06376e-03  -3.76416e-01
-   2  sg_p1        4.00000e+01   4.68280e-01   3.89370e-02** at limit **
-   3  sg_p2        1.22240e+00   5.07108e-02   2.32615e-03   2.98325e-01
-   4  sg_p3        1.49206e+00   7.79105e-02   2.55089e-03  -7.56703e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.613e-01  1.056e-05  1.493e-02 -2.862e-02 
-  1.056e-05  1.856e-06 -2.776e-06 -7.148e-06 
-  1.493e-02 -2.776e-06  2.572e-03 -4.218e-04 
- -2.862e-02 -7.148e-06 -4.218e-04  6.072e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55096   1.000  0.010  0.362 -0.452
-        2  0.08279   0.010  1.000 -0.040 -0.067
-        3  0.36961   0.362 -0.040  1.000 -0.107
-        4  0.45964  -0.452 -0.067 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM HESSE     STATUS=OK             23 CALLS         272 TOTAL
-                     EDM=7.50694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01658e+03   8.10249e-01   4.12751e-04   4.50469e-02
-   2  sg_p1        4.00000e+01   4.69104e-01   7.78740e-03   1.57131e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22240e+00   5.04194e-02   4.65229e-04  -5.36395e-01
-   4  sg_p3        1.49206e+00   7.77461e-02   1.02036e-04  -6.11014e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.566e-01  2.550e-06  1.440e-02 -2.848e-02 
-  2.550e-06  1.859e-06 -6.023e-07 -1.591e-06 
-  1.440e-02 -6.023e-07  2.543e-03 -4.084e-04 
- -2.848e-02 -1.591e-06 -4.084e-04  6.046e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54642   1.000  0.002  0.353 -0.452
-        2  0.01831   0.002  1.000 -0.009 -0.015
-        3  0.35800   0.353 -0.009  1.000 -0.104
-        4  0.45596  -0.452 -0.015 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.58 +- 0.810249
-40 +- 0.469104
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23321 FROM MIGRAD    STATUS=INITIATE       62 CALLS          63 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -2.15456e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   8.44246e+00
-   3  sg_p2        8.58947e-01   5.00000e-01   0.00000e+00   1.85345e+02
-   4  sg_p3        9.45698e-01   7.00000e-01  -8.18030e-01  -4.63007e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             25 CALLS         397 TOTAL
-                     EDM=0.00260498    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01832e+03   7.86712e-01   2.07176e-03   2.20958e+00
-   2  sg_p1        3.99993e+01   1.77184e+00   7.04451e-02  -2.46019e-02
-   3  sg_p2        1.21002e+00   5.23460e-02   1.24212e-03  -3.03189e+00
-   4  sg_p3        1.46453e+00   6.41490e-02   2.20715e-03   4.63062e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23288 FROM MIGRAD    STATUS=CONVERGED     405 CALLS         406 TOTAL
-                     EDM=3.27684e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.7 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01831e+03   7.85112e-01  -4.32924e-04  -2.09259e-02
-   2  sg_p1        3.99999e+01   1.83061e+00   8.35977e-03  -1.12946e-02
-   3  sg_p2        1.21288e+00   5.27607e-02   1.33598e-03  -8.93872e-02
-   4  sg_p3        1.46454e+00   6.41540e-02   6.09141e-06  -1.12247e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.165e-01 -9.032e-04  1.537e-02 -1.778e-02 
- -9.032e-04  7.440e-04 -2.479e-05 -1.812e-04 
-  1.537e-02 -2.479e-05  2.784e-03 -1.646e-04 
- -1.778e-02 -1.812e-04 -1.646e-04  4.116e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.50511   1.000 -0.042  0.371 -0.353
-        2  0.13383  -0.042  1.000 -0.017 -0.104
-        3  0.38141   0.371 -0.017  1.000 -0.049
-        4  0.38267  -0.353 -0.104 -0.049  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             27 CALLS         433 TOTAL
-                     EDM=6.045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01831e+03   7.86243e-01   2.07195e-03   9.46567e-02
-   2  sg_p1        3.99999e+01   1.65716e+00   2.81780e-02   1.56570e+00
-   3  sg_p2        1.21288e+00   5.23867e-02   2.37732e-03  -5.40830e-01
-   4  sg_p3        1.46454e+00   6.37794e-02   2.20581e-03  -6.20643e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.183e-01 -1.323e-04  1.524e-02 -1.755e-02 
- -1.323e-04  6.707e-04 -5.377e-05 -7.207e-05 
-  1.524e-02 -5.377e-05  2.745e-03 -2.465e-04 
- -1.755e-02 -7.207e-05 -2.465e-04  4.068e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49151   1.000 -0.006  0.370 -0.350
-        2  0.06175  -0.006  1.000 -0.040 -0.044
-        3  0.37636   0.370 -0.040  1.000 -0.074
-        4  0.35760  -0.350 -0.044 -0.074  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1018.31 +- 0.786243
-39.9999 +- 1.65716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23875.8 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   4.43398e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.77680e+02
-   3  sg_p2        9.21219e-01   5.00000e-01   0.00000e+00   7.52454e+00
-   4  sg_p3        1.40649e+00   7.00000e-01  -6.41185e-01   5.95628e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=7.75608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01285e+03   8.33665e-01   2.07912e-03   1.70866e-02
-   2  sg_p1        3.98091e+01   8.48923e-01   3.16082e-02  -1.03759e-02
-   3  sg_p2        1.12381e+00   5.95622e-02   2.13485e-03   3.30200e-01
-   4  sg_p3        1.54010e+00   8.22224e-02   2.41055e-03  -1.53820e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.951e-01  2.065e-01  2.518e-02 -6.574e-03 
-  2.065e-01  6.697e-01  3.047e-02  3.584e-02 
-  2.518e-02  3.047e-02  3.549e-03  1.365e-03 
- -6.574e-03  3.584e-02  1.365e-03  6.762e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.57532   1.000  0.303  0.507 -0.096
-        2  0.73404   0.303  1.000  0.625  0.533
-        3  0.70991   0.507  0.625  1.000  0.279
-        4  0.59907  -0.096  0.533  0.279  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=7.73708e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01285e+03   8.49657e-01   4.15824e-04  -6.14668e-02
-   2  sg_p1        3.98091e+01   1.04461e+00   1.26433e-03   1.34471e+00
-   3  sg_p2        1.12381e+00   6.43212e-02   4.26970e-04  -5.82935e-01
-   4  sg_p3        1.54010e+00   8.72084e-02   9.64222e-05  -5.94353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.221e-01  2.723e-01  2.914e-02 -1.973e-03 
-  2.723e-01  8.279e-01  4.043e-02  4.780e-02 
-  2.914e-02  4.043e-02  4.139e-03  2.068e-03 
- -1.973e-03  4.780e-02  2.068e-03  7.608e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59661   1.000  0.352  0.533 -0.027
-        2  0.79068   0.352  1.000  0.691  0.602
-        3  0.75807   0.533  0.691  1.000  0.369
-        4  0.65582  -0.027  0.602  0.369  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1012.85 +- 0.849657
-39.8091 +- 1.04461
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23239.4 FROM MIGRAD    STATUS=INITIATE       64 CALLS          65 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.27750e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   1.26948e-01
-   3  sg_p2        8.74738e-01   5.00000e-01   0.00000e+00   1.80702e+02
-   4  sg_p3        9.26595e-01   7.00000e-01  -8.26048e-01  -4.27618e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=0.00014251    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01577e+03   8.64818e-01   2.10463e-03   2.40523e-01
-   2  sg_p1        3.99999e+01   1.00303e+00   5.37328e-02  -1.94869e-02
-   3  sg_p2        1.13318e+00   5.62974e-02   2.39200e-03  -5.76330e-02
-   4  sg_p3        1.52247e+00   6.86424e-02   2.34430e-03   1.64373e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.481e-01 -1.096e-03  2.562e-02 -1.857e-02 
- -1.096e-03  4.530e-04 -1.315e-04 -8.807e-05 
-  2.562e-02 -1.315e-04  3.170e-03 -3.976e-04 
- -1.857e-02 -8.807e-05 -3.976e-04  4.713e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.58719   1.000 -0.060  0.526 -0.313
-        2  0.13360  -0.060  1.000 -0.110 -0.060
-        3  0.53513   0.526 -0.110  1.000 -0.103
-        4  0.32913  -0.313 -0.060 -0.103  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM HESSE     STATUS=OK             29 CALLS         267 TOTAL
-                     EDM=0.000133982    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01577e+03   8.73102e-01   4.20925e-04   2.20882e-02
-   2  sg_p1        3.99999e+01   1.01940e+00   2.14931e-03   1.56537e+00
-   3  sg_p2        1.13318e+00   5.62622e-02   9.56802e-05  -5.78450e-01
-   4  sg_p3        1.52247e+00   7.21948e-02   7.98704e-02  -6.00445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.625e-01  2.144e-04  2.611e-02 -2.173e-02 
-  2.144e-04  4.606e-04  2.659e-05  2.032e-05 
-  2.611e-02  2.659e-05  3.166e-03 -5.636e-04 
- -2.173e-02  2.032e-05 -5.636e-04  5.213e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59764   1.000  0.011  0.531 -0.345
-        2  0.02791   0.011  1.000  0.022  0.013
-        3  0.53363   0.531  0.022  1.000 -0.139
-        4  0.34900  -0.345  0.013 -0.139  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1015.77 +- 0.873102
-39.9999 +- 1.0194
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23904.2 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.58334e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -6.45414e+00
-   3  sg_p2        9.40575e-01   5.00000e-01   0.00000e+00   2.02619e+02
-   4  sg_p3        9.50207e-01   7.00000e-01  -8.16148e-01  -4.42963e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM MIGRAD    STATUS=CONVERGED     250 CALLS         251 TOTAL
-                     EDM=1.36548e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01639e+03   7.28586e-01   2.01823e-03  -1.76359e-02
-   2  sg_p1        4.00000e+01   7.49353e-01   4.69202e-02  -5.91552e-03
-   3  sg_p2        1.26989e+00   5.63661e-02   2.54093e-03   8.80770e-02
-   4  sg_p3        1.53945e+00   6.56083e-02   2.27702e-03  -7.24550e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.309e-01 -7.297e-05  1.348e-02 -1.019e-02 
- -7.297e-05  1.681e-05 -1.973e-05 -2.021e-05 
-  1.348e-02 -1.973e-05  3.178e-03  5.005e-04 
- -1.019e-02 -2.021e-05  5.005e-04  4.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41880   1.000 -0.024  0.328 -0.213
-        2  0.10777  -0.024  1.000 -0.085 -0.075
-        3  0.39425   0.328 -0.085  1.000  0.135
-        4  0.31076  -0.213 -0.075  0.135  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM HESSE     STATUS=OK             23 CALLS         274 TOTAL
-                     EDM=1.44816e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01639e+03   7.40109e-01   4.03646e-04   3.97032e-02
-   2  sg_p1        4.00000e+01   7.56384e-01   9.38403e-03   1.56958e+00
-   3  sg_p2        1.26989e+00   5.58118e-02   1.01637e-04  -5.14435e-01
-   4  sg_p3        1.53945e+00   6.43105e-02   9.10809e-05  -5.94577e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.478e-01 -1.128e-05  1.525e-02 -1.306e-02 
- -1.128e-05  1.697e-05 -2.641e-06 -2.503e-06 
-  1.525e-02 -2.641e-06  3.116e-03 -1.984e-04 
- -1.306e-02 -2.503e-06 -1.984e-04  4.137e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44819   1.000 -0.004  0.369 -0.274
-        2  0.01546  -0.004  1.000 -0.011 -0.009
-        3  0.37224   0.369 -0.011  1.000 -0.055
-        4  0.27895  -0.274 -0.009 -0.055  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.39 +- 0.740109
-40 +- 0.756384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16426.3 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   2.76971e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -7.40412e+01
-   3  sg_p2        7.53407e-01   5.00000e-01   0.00000e+00  -2.61313e+02
-   4  sg_p3        1.41708e+00   7.00000e-01  -6.37416e-01   3.61680e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.2739e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01657e+03   9.77555e-01   2.06312e-03  -3.61028e-03
-   2  sg_p1        4.00000e+01   6.78180e-01   3.73477e-02  -7.76696e-03
-   3  sg_p2        1.22238e+00   6.09231e-02   2.33024e-03  -3.84112e-02
-   4  sg_p3        1.49153e+00   9.35612e-02   2.57411e-03  -3.75876e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.559e-01  3.743e-05  2.152e-02 -4.133e-02 
-  3.743e-05  2.111e-05 -9.720e-06 -2.510e-05 
-  2.152e-02 -9.720e-06  3.713e-03 -6.103e-04 
- -4.133e-02 -2.510e-05 -6.103e-04  8.757e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55051   1.000  0.008  0.361 -0.452
-        2  0.07170   0.008  1.000 -0.035 -0.058
-        3  0.36817   0.361 -0.035  1.000 -0.107
-        4  0.45868  -0.452 -0.058 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM HESSE     STATUS=OK             23 CALLS         228 TOTAL
-                     EDM=1.33694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01657e+03   9.74476e-01   4.12624e-04   4.48931e-02
-   2  sg_p1        4.00000e+01   6.79952e-01   7.46954e-03   1.56937e+00
-   3  sg_p2        1.22238e+00   6.06205e-02   9.32097e-05  -5.36402e-01
-   4  sg_p3        1.49153e+00   9.34142e-02   1.02965e-04  -6.11196e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.499e-01  5.447e-06  2.083e-02 -4.116e-02 
-  5.447e-06  2.117e-05 -1.283e-06 -3.388e-06 
-  2.083e-02 -1.283e-06  3.676e-03 -5.904e-04 
- -4.116e-02 -3.388e-06 -5.904e-04  8.729e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54649   1.000  0.001  0.353 -0.452
-        2  0.00962   0.001  1.000 -0.005 -0.008
-        3  0.35791   0.353 -0.005  1.000 -0.104
-        4  0.45594  -0.452 -0.008 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.57 +- 0.974476
-40 +- 0.679952
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33287.9 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   3.29127e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -2.09458e+02
-   3  sg_p2        8.91728e-01   5.00000e-01   0.00000e+00   7.37516e+01
-   4  sg_p3        1.41601e+00   7.00000e-01  -6.37796e-01   6.89934e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=5.9663e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01659e+03   6.86602e-01   2.06298e-03   6.23454e-02
-   2  sg_p1        4.00000e+01   3.36413e-01   3.74809e-02** at limit **
-   3  sg_p2        1.22194e+00   4.27738e-02   2.32926e-03  -6.40806e-02
-   4  sg_p3        1.49222e+00   6.57997e-02   2.57024e-03  -1.52134e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.715e-01  8.305e-06  1.061e-02 -2.041e-02 
-  8.305e-06  1.928e-06 -2.165e-06 -5.598e-06 
-  1.061e-02 -2.165e-06  1.830e-03 -3.008e-04 
- -2.041e-02 -5.598e-06 -3.008e-04  4.330e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55055   1.000  0.009  0.361 -0.452
-        2  0.07527   0.009  1.000 -0.036 -0.061
-        3  0.36846   0.361 -0.036  1.000 -0.107
-        4  0.45894  -0.452 -0.061 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=6.1799e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01659e+03   6.84411e-01   4.12596e-04   4.54194e-02
-   2  sg_p1        4.00000e+01   3.37160e-01   7.49617e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22194e+00   4.25566e-02   9.31704e-05  -5.36608e-01
-   4  sg_p3        1.49222e+00   6.56863e-02   1.02809e-04  -6.10958e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.685e-01  1.563e-06  1.027e-02 -2.032e-02 
-  1.563e-06  1.932e-06 -3.692e-07 -9.768e-07 
-  1.027e-02 -3.692e-07  1.811e-03 -2.913e-04 
- -2.032e-02 -9.768e-07 -2.913e-04  4.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54648   1.000  0.002  0.353 -0.452
-        2  0.01305   0.002  1.000 -0.006 -0.011
-        3  0.35799   0.353 -0.006  1.000 -0.104
-        4  0.45593  -0.452 -0.011 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.59 +- 0.684411
-40 +- 0.33716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 1016.58 +- 0.810249 (stat) - 3.72609 + 1.73193 (syst); -3.74805/+1.77868 (total)
-   Uncertainty on sg_p1 = 40 +- 0.469104 (stat) - 0.190863 + 0 (syst); -0.302396/+0.234552 (total)
-   Uncertainty on sg_p2 = 1.2224 +- 0.0504194 (stat) - 0.0985888 + 0.0474949 (syst); -0.101761/+0.0537708 (total)
-   Uncertainty on sg_p3 = 1.49206 +- 0.0777461 (stat) - 0.0275125 + 0.0480377 (syst); -0.0476241/+0.0617959 (total)
-   === Baseline plot === </br>
-   norm = 330.727
-JEC     lnN   1.01006  -
-JER     lnN   1.0152  -
-btag    lnN   1.35523  -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
deleted file mode 100644
index 33b5098..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Info in <Minuit2>: MinuReal time 0:00:00, CP time 0.080
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.35746  0.0204769/+1.84683  (68% CL)
-nll S+B -> -0.00200363  nll B -> -1.1697e-05
-Done in 0.01 min (cpu), 0.01 min (real)
-inosErrors>: Minos error calculation failed for all parameters
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
deleted file mode 100644
index 26b0034..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 14.098339:	q_mu = 3.84854	q_A  = 3.84878	CLsb = 0.02489	CLb  = 0.50002	CLs  = 0.04979
-
- -- Asymptotic -- 
-Observed Limit: r < 14.0983
-Expected  2.5%: r < 7.5531
-Expected 16.0%: r < 10.0196
-Expected 50.0%: r < 14.0625
-Expected 84.0%: r < 20.1724
-Expected 97.5%: r < 28.0258
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt
deleted file mode 100644
index 76afcc1..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  2.47576 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06518    -
-JER       lnN     1.01484   - 
-JEC       lnN     1.02905   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02229693932   -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 259cbcf..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.8549 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.39547e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.33669e+01   1.80554e+00   2.71051e-03   4.30284e-06
-   2  Mean         9.99344e-01   2.90546e-03   5.44875e-06  -4.96208e-03
-   3  Sigma        2.22969e-02   2.61448e-03   6.50610e-05   1.72213e-05
-0.999344037733 +/- 0.0029054638886
-0.0222969393194 +/- 0.00261447795001
-PDF lnN 1.02229693932
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/signal550_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/signal550_sig.log
deleted file mode 100644
index 95176bb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_crystal_1_550_1200/signal550_sig.log
+++ /dev/null
@@ -1,949 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   8.36856e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -2.13036e+02
-   3  sg_p2        9.96389e-01   5.00000e-01   0.00000e+00  -2.10001e+01
-   4  sg_p3        1.33793e+00   7.00000e-01  -6.65859e-01   1.43037e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05392 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM MIGRAD    STATUS=CONVERGED     433 CALLS         434 TOTAL
-                     EDM=1.19101e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.41842e+02   5.12497e-01   1.51068e-03   3.12657e-02
-   2  sg_p1        2.95617e+01   3.82692e-01   3.23918e-03   3.18610e-03
-   3  sg_p2        2.26823e+00   2.06532e-01   7.22656e-03  -7.81355e-04
-   4  sg_p3        3.13392e+00   1.77814e+00   6.15202e-02  -1.76290e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.627e-01  2.925e-03  9.483e-03 -3.748e-10 
-  2.925e-03  1.465e-01  1.367e-02 -4.881e-11 
-  9.483e-03  1.367e-02  4.275e-02 -1.530e-10 
- -3.748e-10 -4.881e-11 -1.530e-10  3.483e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08948   1.000  0.015  0.089 -0.000
-        2  0.17277   0.015  1.000  0.173 -0.000
-        3  0.19340   0.089  0.173  1.000 -0.000
-        4  0.00000  -0.000 -0.000 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM HESSE     STATUS=OK             29 CALLS         463 TOTAL
-                     EDM=3.87994e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.41842e+02   5.12297e-01   3.02136e-04   6.14367e-02
-   2  sg_p1        2.95617e+01   3.82068e-01   1.29567e-04   6.00358e-01
-   3  sg_p2        2.26823e+00   2.05837e-01   2.89062e-04  -9.28432e-02
-   4  sg_p3        3.13392e+00   6.62343e-01   3.58606e-01  -1.04787e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.625e-01  2.466e-03  8.976e-03  1.615e-11 
-  2.466e-03  1.460e-01  1.286e-02  2.313e-11 
-  8.976e-03  1.286e-02  4.247e-02  7.639e-11 
-  1.615e-11  2.313e-11  7.639e-11  4.441e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08503   1.000  0.013  0.085  0.000
-        2  0.16331   0.013  1.000  0.163  0.000
-        3  0.18317   0.085  0.163  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-541.842 +- 0.512297
-29.5617 +- 0.382068
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16779.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00  -8.37041e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.07475e+02
-   3  sg_p2        8.65799e-01   5.00000e-01   0.00000e+00  -7.40551e+01
-   4  sg_p3        1.35564e+00   7.00000e-01  -6.59439e-01   6.28488e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             27 CALLS         282 TOTAL
-                     EDM=0.102246    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44552e+02   5.08282e-01   1.52398e-03  -1.54852e-01
-   2  sg_p1        2.95922e+01   3.76777e-01   3.22494e-03  -3.69769e-02
-   3  sg_p2        2.45278e+00   3.27164e-01   1.16491e-02   1.26745e-02
-   4  sg_p3        3.35460e+00   1.18039e+00   3.11390e-01  -1.31335e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16685.9 FROM MIGRAD    STATUS=CONVERGED     295 CALLS         296 TOTAL
-                     EDM=2.81269e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44554e+02   5.08278e-01   4.34002e-05  -1.50856e-04
-   2  sg_p1        2.95926e+01   3.76767e-01   4.09576e-05  -4.62961e-04
-   3  sg_p2        2.45238e+00   3.27162e-01  -1.58660e-04  -1.77907e-03
-   4  sg_p3        3.89863e+00   1.17372e+00   1.55695e-01   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.584e-01  3.013e-03  1.443e-02  3.104e-05 
-  3.013e-03  1.420e-01  2.058e-02  5.573e-05 
-  1.443e-02  2.058e-02  1.077e-01  2.055e-04 
-  3.104e-05  5.573e-05  2.055e-04  1.433e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08655   1.000  0.016  0.087  0.000
-        2  0.16643   0.016  1.000  0.166  0.000
-        3  0.18640   0.087  0.166  1.000  0.001
-        4  0.00052   0.000  0.000  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             31 CALLS         327 TOTAL
-                     EDM=0.378043    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.44554e+02   5.08418e-01   1.52334e-03   1.52374e-01
-   2  sg_p1        2.95926e+01   3.77155e-01   1.28998e-03   6.03355e-01
-   3  sg_p2        2.45238e+00   3.27373e-01   4.65962e-03  -1.90491e-02
-   4  sg_p3        3.89863e+00   1.40113e+00   5.10000e-01   1.14141e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.585e-01  3.222e-03  1.491e-02  4.426e-12 
-  3.222e-03  1.423e-01  2.127e-02 -3.793e-11 
-  1.491e-02  2.127e-02  1.078e-01  3.265e-11 
-  4.426e-12 -3.793e-11  3.265e-11  2.080e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08933   1.000  0.017  0.089  0.000
-        2  0.17177   0.017  1.000  0.172 -0.000
-        3  0.19229   0.089  0.172  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-544.554 +- 0.508418
-29.5926 +- 0.377155
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15773.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   1.21147e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.80759e+02
-   3  sg_p2        1.10607e+00   5.00000e-01   0.00000e+00  -3.61854e+01
-   4  sg_p3        1.15878e+00   7.00000e-01  -7.32755e-01   8.10605e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.37034 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM MIGRAD    STATUS=CONVERGED     357 CALLS         358 TOTAL
-                     EDM=1.29397e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.39647e+02   5.17185e-01   1.48655e-03  -1.89345e-02
-   2  sg_p1        2.91881e+01   3.85671e-01   3.11579e-03   3.89872e-03
-   3  sg_p2        2.31906e+00   2.28533e-01   7.79945e-03  -3.76001e-04
-   4  sg_p3        3.12530e+00   1.84829e+00   8.28757e-02  -7.72724e-05
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.675e-01  1.706e-03  1.012e-02  1.242e-12 
-  1.706e-03  1.488e-01  1.489e-02  1.083e-10 
-  1.012e-02  1.489e-02  5.237e-02  1.084e-11 
-  1.242e-12  1.083e-10  1.084e-11  3.797e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08574   1.000  0.009  0.086  0.000
-        2  0.16875   0.009  1.000  0.169  0.000
-        3  0.18845   0.086  0.169  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM HESSE     STATUS=OK             27 CALLS         385 TOTAL
-                     EDM=0.802787    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.39647e+02   5.17333e-01   2.97309e-04  -1.17805e-02
-   2  sg_p1        2.91881e+01   3.86088e-01   1.24632e-04   5.64568e-01
-   3  sg_p2        2.31906e+00   2.28870e-01   3.11978e-04  -7.24379e-02
-   4  sg_p3        3.12530e+00   7.00822e-01   3.63374e-01  -1.07263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.677e-01  1.770e-03  1.052e-02  3.022e-11 
-  1.770e-03  1.491e-01  1.546e-02 -6.678e-11 
-  1.052e-02  1.546e-02  5.253e-02  4.080e-11 
-  3.022e-11 -6.678e-11  4.080e-11  4.979e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08899   1.000  0.009  0.089  0.000
-        2  0.17483   0.009  1.000  0.175 -0.000
-        3  0.19525   0.089  0.175  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-539.647 +- 0.517333
-29.1881 +- 0.386088
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14837.3 FROM MIGRAD    STATUS=INITIATE       51 CALLS          52 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.62915e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.92186e+02
-   3  sg_p2        1.33485e+00   5.00000e-01   0.00000e+00   1.12519e+02
-   4  sg_p3        1.63806e+00   7.00000e-01  -5.60940e-01   1.42255e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM MIGRAD    STATUS=CONVERGED     175 CALLS         176 TOTAL
-                     EDM=1.79394e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57153e+02   3.21384e-01   1.00803e-03  -2.87826e-01
-   2  sg_p1        1.59907e+01   2.94249e-01   1.95331e-03  -7.46933e-02
-   3  sg_p2        1.40719e+00   6.63431e-02   1.98696e-03   1.23037e-01
-   4  sg_p3        1.40947e+00   6.04329e-02   1.61506e-03   3.47616e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.033e-01  1.010e-02  6.404e-03 -2.894e-03 
-  1.010e-02  8.661e-02  1.063e-02  7.128e-03 
-  6.404e-03  1.063e-02  4.403e-03  8.132e-04 
- -2.894e-03  7.128e-03  8.132e-04  3.653e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36907   1.000  0.107  0.300 -0.149
-        2  0.62006   0.107  1.000  0.545  0.401
-        3  0.59757   0.300  0.545  1.000  0.203
-        4  0.44647  -0.149  0.401  0.203  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM HESSE     STATUS=OK             23 CALLS         199 TOTAL
-                     EDM=1.79239e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57153e+02   3.21538e-01   2.01606e-04   8.62318e-02
-   2  sg_p1        1.59907e+01   2.94927e-01   3.90662e-04   9.92360e-02
-   3  sg_p2        1.40719e+00   6.64804e-02   7.94782e-05  -4.52397e-01
-   4  sg_p3        1.40947e+00   6.05049e-02   6.46026e-05  -6.40123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.034e-01  1.015e-02  6.439e-03 -2.895e-03 
-  1.015e-02  8.701e-02  1.072e-02  7.193e-03 
-  6.439e-03  1.072e-02  4.421e-03  8.247e-04 
- -2.895e-03  7.193e-03  8.247e-04  3.661e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37018   1.000  0.107  0.301 -0.149
-        2  0.62233   0.107  1.000  0.547  0.403
-        3  0.59978   0.301  0.547  1.000  0.205
-        4  0.44859  -0.149  0.403  0.205  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.153 +- 0.321538
-15.9907 +- 0.294927
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.5 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -4.27508e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00   5.60673e+01
-   3  sg_p2        9.57872e-01   5.00000e-01   0.00000e+00  -1.96076e+02
-   4  sg_p3        1.43385e+00   7.00000e-01  -6.31466e-01   3.52996e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM MIGRAD    STATUS=CONVERGED     145 CALLS         146 TOTAL
-                     EDM=1.59039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58875e+02   3.28831e-01   1.01097e-03   2.51867e-01
-   2  sg_p1        1.50106e+01   3.27326e-01   1.94006e-03  -7.48907e-02
-   3  sg_p2        1.28146e+00   5.35843e-02   1.64296e-03  -7.25386e-02
-   4  sg_p3        1.13283e+00   5.00773e-02   1.24085e-03   1.93411e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.081e-01 -1.435e-02  2.668e-03 -5.685e-03 
- -1.435e-02  1.072e-01  9.872e-03  9.778e-03 
-  2.668e-03  9.872e-03  2.872e-03  8.529e-04 
- -5.685e-03  9.778e-03  8.529e-04  2.508e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44454   1.000 -0.133  0.151 -0.345
-        2  0.71564  -0.133  1.000  0.563  0.596
-        3  0.61000   0.151  0.563  1.000  0.318
-        4  0.65614  -0.345  0.596  0.318  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM HESSE     STATUS=OK             23 CALLS         169 TOTAL
-                     EDM=1.59031e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58875e+02   3.28953e-01   2.02195e-04   1.55611e-01
-   2  sg_p1        1.50106e+01   3.28179e-01   3.88013e-04   1.06416e-03
-   3  sg_p2        1.28146e+00   5.36907e-02   6.57184e-05  -5.09126e-01
-   4  sg_p3        1.13283e+00   5.01651e-02   2.48171e-04  -7.42776e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.082e-01 -1.448e-02  2.668e-03 -5.699e-03 
- -1.448e-02  1.077e-01  9.953e-03  9.852e-03 
-  2.668e-03  9.953e-03  2.883e-03  8.627e-04 
- -5.699e-03  9.852e-03  8.627e-04  2.517e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44521   1.000 -0.134  0.151 -0.345
-        2  0.71741  -0.134  1.000  0.565  0.598
-        3  0.61203   0.151  0.565  1.000  0.320
-        4  0.65766  -0.345  0.598  0.320  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.875 +- 0.328953
-15.0106 +- 0.328179
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14133.8 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.22550e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -8.95889e+01
-   3  sg_p2        1.26916e+00   5.00000e-01   0.00000e+00   3.67893e+01
-   4  sg_p3        1.35775e+00   7.00000e-01  -6.58678e-01  -5.62243e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM MIGRAD    STATUS=CONVERGED     210 CALLS         211 TOTAL
-                     EDM=0.000238073    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.56327e+02   3.14482e-01   9.83418e-04   8.55741e-01
-   2  sg_p1        1.57284e+01   2.76951e-01   1.90229e-03  -1.45089e-01
-   3  sg_p2        1.38542e+00   5.70093e-02   1.81418e-03   3.93447e-01
-   4  sg_p3        1.37775e+00   5.81896e-02   1.54738e-03   1.23982e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.890e-02  1.894e-03  3.842e-03 -3.325e-03 
-  1.894e-03  7.672e-02  7.163e-03  6.201e-03 
-  3.842e-03  7.163e-03  3.251e-03  5.637e-04 
- -3.325e-03  6.201e-03  5.637e-04  3.387e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30810   1.000  0.022  0.214 -0.182
-        2  0.55065   0.022  1.000  0.454  0.385
-        3  0.49896   0.214  0.454  1.000  0.170
-        4  0.43088  -0.182  0.385  0.170  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM HESSE     STATUS=OK             23 CALLS         234 TOTAL
-                     EDM=0.000238571    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.56327e+02   3.14566e-01   1.96684e-04   5.31070e-02
-   2  sg_p1        1.57284e+01   2.77362e-01   3.80459e-04   7.29003e-02
-   3  sg_p2        1.38542e+00   5.70763e-02   3.62837e-04  -4.62101e-01
-   4  sg_p3        1.37775e+00   5.82399e-02   3.09477e-04  -6.51471e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.896e-02  1.863e-03  3.856e-03 -3.331e-03 
-  1.863e-03  7.695e-02  7.208e-03  6.244e-03 
-  3.856e-03  7.208e-03  3.258e-03  5.699e-04 
- -3.331e-03  6.244e-03  5.699e-04  3.392e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30889   1.000  0.021  0.215 -0.182
-        2  0.55252   0.021  1.000  0.455  0.386
-        3  0.50072   0.215  0.455  1.000  0.171
-        4  0.43251  -0.182  0.386  0.171  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-556.327 +- 0.314566
-15.7284 +- 0.277362
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14534.5 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.04994e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.14427e+02
-   3  sg_p2        1.18464e+00   5.00000e-01   0.00000e+00   9.96830e+01
-   4  sg_p3        1.38937e+00   7.00000e-01  -6.47305e-01   1.30603e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM MIGRAD    STATUS=CONVERGED     185 CALLS         186 TOTAL
-                     EDM=5.50119e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58137e+02   3.32100e-01   9.95556e-04   1.68841e-01
-   2  sg_p1        1.48812e+01   3.22440e-01   1.91611e-03   3.95624e-02
-   3  sg_p2        1.27842e+00   5.09588e-02   1.60067e-03  -7.54823e-02
-   4  sg_p3        1.11410e+00   4.98337e-02   1.21814e-03   6.18485e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.103e-01 -2.020e-02  1.794e-03 -6.256e-03 
- -2.020e-02  1.040e-01  8.614e-03  9.577e-03 
-  1.794e-03  8.614e-03  2.597e-03  7.646e-04 
- -6.256e-03  9.577e-03  7.646e-04  2.484e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44749   1.000 -0.189  0.106 -0.378
-        2  0.69890  -0.189  1.000  0.524  0.596
-        3  0.56724   0.106  0.524  1.000  0.301
-        4  0.65666  -0.378  0.596  0.301  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM HESSE     STATUS=OK             23 CALLS         209 TOTAL
-                     EDM=5.49735e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58137e+02   3.32253e-01   1.99111e-04   1.25809e-01
-   2  sg_p1        1.48812e+01   3.23301e-01   7.66446e-05  -1.18793e-02
-   3  sg_p2        1.27842e+00   5.10516e-02   6.40269e-05  -5.10521e-01
-   4  sg_p3        1.11410e+00   4.99281e-02   4.87255e-05  -7.50065e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.104e-01 -2.039e-02  1.786e-03 -6.279e-03 
- -2.039e-02  1.046e-01  8.688e-03  9.654e-03 
-  1.786e-03  8.688e-03  2.607e-03  7.739e-04 
- -6.279e-03  9.654e-03  7.739e-04  2.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44831   1.000 -0.190  0.105 -0.378
-        2  0.70084  -0.190  1.000  0.526  0.598
-        3  0.56941   0.105  0.526  1.000  0.304
-        4  0.65830  -0.378  0.598  0.304  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.137 +- 0.332253
-14.8812 +- 0.323301
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14860.1 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.96476e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.39102e+02
-   3  sg_p2        1.31219e+00   5.00000e-01   0.00000e+00   8.51723e+01
-   4  sg_p3        1.40309e+00   7.00000e-01  -6.42399e-01  -3.16309e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=2.32867e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57839e+02   3.16310e-01   9.64235e-04  -9.53938e-03
-   2  sg_p1        1.45911e+01   3.04213e-01   1.85567e-03  -1.11765e-02
-   3  sg_p2        1.30884e+00   5.20626e-02   1.65224e-03   2.13112e-02
-   4  sg_p3        1.13165e+00   4.90247e-02   1.22393e-03   1.25630e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.679e-02  1.892e-03 -5.645e-03 
- -1.679e-02  9.257e-02  8.162e-03  8.712e-03 
-  1.892e-03  8.162e-03  2.711e-03  7.376e-04 
- -5.645e-03  8.712e-03  7.376e-04  2.404e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43494   1.000 -0.174  0.115 -0.364
-        2  0.68887  -0.174  1.000  0.515  0.584
-        3  0.55849   0.115  0.515  1.000  0.289
-        4  0.64393  -0.364  0.584  0.289  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM HESSE     STATUS=OK             23 CALLS         230 TOTAL
-                     EDM=2.3344e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57839e+02   3.16455e-01   3.85694e-05   1.13812e-01
-   2  sg_p1        1.45911e+01   3.05011e-01   7.42270e-05  -4.09030e-02
-   3  sg_p2        1.30884e+00   5.21549e-02   6.60897e-05  -4.96630e-01
-   4  sg_p3        1.13165e+00   4.91147e-02   4.89571e-05  -7.43231e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.696e-02  1.886e-03 -5.665e-03 
- -1.696e-02  9.306e-02  8.232e-03  8.781e-03 
-  1.886e-03  8.232e-03  2.721e-03  7.467e-04 
- -5.665e-03  8.781e-03  7.467e-04  2.413e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43580   1.000 -0.176  0.114 -0.364
-        2  0.69086  -0.176  1.000  0.517  0.586
-        3  0.56066   0.114  0.517  1.000  0.291
-        4  0.64559  -0.364  0.586  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.839 +- 0.316455
-14.5911 +- 0.305011
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13882.6 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.85565e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -4.99994e+01
-   3  sg_p2        1.14901e+00   5.00000e-01  -8.51477e-02   2.28635e+00
-   4  sg_p3        1.41391e+00   7.00000e-01   0.00000e+00   1.79604e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=1.65564e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57980e+02   3.34363e-01   9.81953e-04   6.44675e-02
-   2  sg_p1        1.47979e+01   3.20681e-01   1.89110e-03   8.04335e-02
-   3  sg_p2        1.31085e+00   5.36609e-02   1.65482e-03  -1.47147e-01
-   4  sg_p3        1.12068e+00   5.06777e-02   1.22086e-03   1.27989e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.118e-01 -2.084e-02  1.817e-03 -6.408e-03 
- -2.084e-02  1.029e-01  8.748e-03  9.557e-03 
-  1.817e-03  8.748e-03  2.880e-03  7.828e-04 
- -6.408e-03  9.557e-03  7.828e-04  2.569e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44246   1.000 -0.194  0.101 -0.378
-        2  0.68849  -0.194  1.000  0.508  0.588
-        3  0.55062   0.101  0.508  1.000  0.288
-        4  0.64866  -0.378  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=1.65875e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57980e+02   3.34499e-01   1.96391e-04   1.19503e-01
-   2  sg_p1        1.47979e+01   3.21384e-01   3.78219e-04  -2.02134e-02
-   3  sg_p2        1.31085e+00   5.37405e-02   3.30963e-04  -4.95716e-01
-   4  sg_p3        1.12068e+00   5.07549e-02   2.44171e-04  -7.47499e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.119e-01 -2.101e-02  1.811e-03 -6.428e-03 
- -2.101e-02  1.033e-01  8.812e-03  9.620e-03 
-  1.811e-03  8.812e-03  2.889e-03  7.908e-04 
- -6.428e-03  9.620e-03  7.908e-04  2.576e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44320   1.000 -0.195  0.101 -0.379
-        2  0.69016  -0.195  1.000  0.510  0.590
-        3  0.55249   0.101  0.510  1.000  0.290
-        4  0.65002  -0.379  0.590  0.290  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.98 +- 0.334499
-14.7979 +- 0.321384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15819.8 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.00618e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.06424e+02
-   3  sg_p2        1.24250e+00   5.00000e-01   0.00000e+00   8.72112e+01
-   4  sg_p3        1.58707e+00   7.00000e-01  -5.78240e-01   1.36356e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=3.72733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57991e+02   3.13470e-01   9.81807e-04   1.43269e-02
-   2  sg_p1        1.48025e+01   3.00871e-01   1.88933e-03   1.01623e-01
-   3  sg_p2        1.30793e+00   5.01308e-02   1.66000e-03  -7.41075e-02
-   4  sg_p3        1.12096e+00   4.75155e-02   1.22457e-03  -3.73256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.827e-02 -1.818e-02  1.608e-03 -5.619e-03 
- -1.818e-02  9.055e-02  7.685e-03  8.406e-03 
-  1.608e-03  7.685e-03  2.514e-03  6.873e-04 
- -5.619e-03  8.406e-03  6.873e-04  2.258e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44218   1.000 -0.193  0.102 -0.377
-        2  0.68889  -0.193  1.000  0.509  0.588
-        3  0.55187   0.102  0.509  1.000  0.288
-        4  0.64863  -0.377  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=3.72671e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57991e+02   3.13600e-01   1.96361e-04   1.19946e-01
-   2  sg_p1        1.48025e+01   3.01553e-01   3.77865e-04  -1.97513e-02
-   3  sg_p2        1.30793e+00   5.02105e-02   6.64000e-05  -4.97043e-01
-   4  sg_p3        1.12096e+00   4.75893e-02   2.44915e-04  -7.47388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.835e-02 -1.832e-02  1.604e-03 -5.636e-03 
- -1.832e-02  9.096e-02  7.744e-03  8.463e-03 
-  1.604e-03  7.744e-03  2.522e-03  6.946e-04 
- -5.636e-03  8.463e-03  6.946e-04  2.265e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44293   1.000 -0.194  0.102 -0.378
-        2  0.69061  -0.194  1.000  0.511  0.590
-        3  0.55387   0.102  0.511  1.000  0.291
-        4  0.65001  -0.378  0.590  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.991 +- 0.3136
-14.8025 +- 0.301553
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 557.153 +- 0.321538 (stat) - 0.826073 + 1.72147 (syst); -0.841572/+1.72896 (total)
-   Uncertainty on sg_p1 = 15.9907 +- 0.294927 (stat) - 1.39965 + 0 (syst); -1.40739/+0.147463 (total)
-   Uncertainty on sg_p2 = 1.40719 +- 0.0664804 (stat) - 0.128774 + 0 (syst); -0.132995/+0.0332402 (total)
-   Uncertainty on sg_p3 = 1.40947 +- 0.0605049 (stat) - 0.295372 + 0 (syst); -0.296917/+0.0302524 (total)
-   === Baseline plot === </br>
-   norm = 123.788
-JEC     lnN   1.02905  -
-JER     lnN   1.01484  -
-btag    lnN   1.06518  -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
deleted file mode 100644
index 00b9466..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 1.16013  -1.16013/+1.83987  (68% CL)
-nll S+B -> -0.00971174  nll B -> -0.000957456
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
deleted file mode 100644
index b618fe8..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 20.736458:	q_mu = 3.85589	q_A  = 3.82820	CLsb = 0.02479	CLb  = 0.49718	CLs  = 0.04985
-
- -- Asymptotic -- 
-Observed Limit: r < 20.7365
-Expected  2.5%: r < 11.1786
-Expected 16.0%: r < 14.8289
-Expected 50.0%: r < 20.8125
-Expected 84.0%: r < 30.0210
-Expected 97.5%: r < 42.6260
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
deleted file mode 100644
index bb72e45..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  2.47576 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06518    -
-JER       lnN     1.01484   - 
-JEC       lnN     1.02905   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02229693932   -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/pdf.log
deleted file mode 100644
index 259cbcf..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.8549 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.39547e-10    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.33669e+01   1.80554e+00   2.71051e-03   4.30284e-06
-   2  Mean         9.99344e-01   2.90546e-03   5.44875e-06  -4.96208e-03
-   3  Sigma        2.22969e-02   2.61448e-03   6.50610e-05   1.72213e-05
-0.999344037733 +/- 0.0029054638886
-0.0222969393194 +/- 0.00261447795001
-PDF lnN 1.02229693932
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/signal550_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/signal550_sig.log
deleted file mode 100644
index 95176bb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_550_novo_550_1200/signal550_sig.log
+++ /dev/null
@@ -1,949 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   8.36856e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -2.13036e+02
-   3  sg_p2        9.96389e-01   5.00000e-01   0.00000e+00  -2.10001e+01
-   4  sg_p3        1.33793e+00   7.00000e-01  -6.65859e-01   1.43037e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05392 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM MIGRAD    STATUS=CONVERGED     433 CALLS         434 TOTAL
-                     EDM=1.19101e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.41842e+02   5.12497e-01   1.51068e-03   3.12657e-02
-   2  sg_p1        2.95617e+01   3.82692e-01   3.23918e-03   3.18610e-03
-   3  sg_p2        2.26823e+00   2.06532e-01   7.22656e-03  -7.81355e-04
-   4  sg_p3        3.13392e+00   1.77814e+00   6.15202e-02  -1.76290e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.627e-01  2.925e-03  9.483e-03 -3.748e-10 
-  2.925e-03  1.465e-01  1.367e-02 -4.881e-11 
-  9.483e-03  1.367e-02  4.275e-02 -1.530e-10 
- -3.748e-10 -4.881e-11 -1.530e-10  3.483e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08948   1.000  0.015  0.089 -0.000
-        2  0.17277   0.015  1.000  0.173 -0.000
-        3  0.19340   0.089  0.173  1.000 -0.000
-        4  0.00000  -0.000 -0.000 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM HESSE     STATUS=OK             29 CALLS         463 TOTAL
-                     EDM=3.87994e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.41842e+02   5.12297e-01   3.02136e-04   6.14367e-02
-   2  sg_p1        2.95617e+01   3.82068e-01   1.29567e-04   6.00358e-01
-   3  sg_p2        2.26823e+00   2.05837e-01   2.89062e-04  -9.28432e-02
-   4  sg_p3        3.13392e+00   6.62343e-01   3.58606e-01  -1.04787e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.625e-01  2.466e-03  8.976e-03  1.615e-11 
-  2.466e-03  1.460e-01  1.286e-02  2.313e-11 
-  8.976e-03  1.286e-02  4.247e-02  7.639e-11 
-  1.615e-11  2.313e-11  7.639e-11  4.441e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08503   1.000  0.013  0.085  0.000
-        2  0.16331   0.013  1.000  0.163  0.000
-        3  0.18317   0.085  0.163  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-541.842 +- 0.512297
-29.5617 +- 0.382068
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16779.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00  -8.37041e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.07475e+02
-   3  sg_p2        8.65799e-01   5.00000e-01   0.00000e+00  -7.40551e+01
-   4  sg_p3        1.35564e+00   7.00000e-01  -6.59439e-01   6.28488e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             27 CALLS         282 TOTAL
-                     EDM=0.102246    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44552e+02   5.08282e-01   1.52398e-03  -1.54852e-01
-   2  sg_p1        2.95922e+01   3.76777e-01   3.22494e-03  -3.69769e-02
-   3  sg_p2        2.45278e+00   3.27164e-01   1.16491e-02   1.26745e-02
-   4  sg_p3        3.35460e+00   1.18039e+00   3.11390e-01  -1.31335e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16685.9 FROM MIGRAD    STATUS=CONVERGED     295 CALLS         296 TOTAL
-                     EDM=2.81269e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44554e+02   5.08278e-01   4.34002e-05  -1.50856e-04
-   2  sg_p1        2.95926e+01   3.76767e-01   4.09576e-05  -4.62961e-04
-   3  sg_p2        2.45238e+00   3.27162e-01  -1.58660e-04  -1.77907e-03
-   4  sg_p3        3.89863e+00   1.17372e+00   1.55695e-01   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.584e-01  3.013e-03  1.443e-02  3.104e-05 
-  3.013e-03  1.420e-01  2.058e-02  5.573e-05 
-  1.443e-02  2.058e-02  1.077e-01  2.055e-04 
-  3.104e-05  5.573e-05  2.055e-04  1.433e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08655   1.000  0.016  0.087  0.000
-        2  0.16643   0.016  1.000  0.166  0.000
-        3  0.18640   0.087  0.166  1.000  0.001
-        4  0.00052   0.000  0.000  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             31 CALLS         327 TOTAL
-                     EDM=0.378043    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.44554e+02   5.08418e-01   1.52334e-03   1.52374e-01
-   2  sg_p1        2.95926e+01   3.77155e-01   1.28998e-03   6.03355e-01
-   3  sg_p2        2.45238e+00   3.27373e-01   4.65962e-03  -1.90491e-02
-   4  sg_p3        3.89863e+00   1.40113e+00   5.10000e-01   1.14141e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.585e-01  3.222e-03  1.491e-02  4.426e-12 
-  3.222e-03  1.423e-01  2.127e-02 -3.793e-11 
-  1.491e-02  2.127e-02  1.078e-01  3.265e-11 
-  4.426e-12 -3.793e-11  3.265e-11  2.080e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08933   1.000  0.017  0.089  0.000
-        2  0.17177   0.017  1.000  0.172 -0.000
-        3  0.19229   0.089  0.172  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-544.554 +- 0.508418
-29.5926 +- 0.377155
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15773.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   1.21147e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.80759e+02
-   3  sg_p2        1.10607e+00   5.00000e-01   0.00000e+00  -3.61854e+01
-   4  sg_p3        1.15878e+00   7.00000e-01  -7.32755e-01   8.10605e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.37034 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM MIGRAD    STATUS=CONVERGED     357 CALLS         358 TOTAL
-                     EDM=1.29397e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.39647e+02   5.17185e-01   1.48655e-03  -1.89345e-02
-   2  sg_p1        2.91881e+01   3.85671e-01   3.11579e-03   3.89872e-03
-   3  sg_p2        2.31906e+00   2.28533e-01   7.79945e-03  -3.76001e-04
-   4  sg_p3        3.12530e+00   1.84829e+00   8.28757e-02  -7.72724e-05
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.675e-01  1.706e-03  1.012e-02  1.242e-12 
-  1.706e-03  1.488e-01  1.489e-02  1.083e-10 
-  1.012e-02  1.489e-02  5.237e-02  1.084e-11 
-  1.242e-12  1.083e-10  1.084e-11  3.797e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08574   1.000  0.009  0.086  0.000
-        2  0.16875   0.009  1.000  0.169  0.000
-        3  0.18845   0.086  0.169  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM HESSE     STATUS=OK             27 CALLS         385 TOTAL
-                     EDM=0.802787    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.39647e+02   5.17333e-01   2.97309e-04  -1.17805e-02
-   2  sg_p1        2.91881e+01   3.86088e-01   1.24632e-04   5.64568e-01
-   3  sg_p2        2.31906e+00   2.28870e-01   3.11978e-04  -7.24379e-02
-   4  sg_p3        3.12530e+00   7.00822e-01   3.63374e-01  -1.07263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.677e-01  1.770e-03  1.052e-02  3.022e-11 
-  1.770e-03  1.491e-01  1.546e-02 -6.678e-11 
-  1.052e-02  1.546e-02  5.253e-02  4.080e-11 
-  3.022e-11 -6.678e-11  4.080e-11  4.979e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08899   1.000  0.009  0.089  0.000
-        2  0.17483   0.009  1.000  0.175 -0.000
-        3  0.19525   0.089  0.175  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-539.647 +- 0.517333
-29.1881 +- 0.386088
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14837.3 FROM MIGRAD    STATUS=INITIATE       51 CALLS          52 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.62915e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.92186e+02
-   3  sg_p2        1.33485e+00   5.00000e-01   0.00000e+00   1.12519e+02
-   4  sg_p3        1.63806e+00   7.00000e-01  -5.60940e-01   1.42255e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM MIGRAD    STATUS=CONVERGED     175 CALLS         176 TOTAL
-                     EDM=1.79394e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57153e+02   3.21384e-01   1.00803e-03  -2.87826e-01
-   2  sg_p1        1.59907e+01   2.94249e-01   1.95331e-03  -7.46933e-02
-   3  sg_p2        1.40719e+00   6.63431e-02   1.98696e-03   1.23037e-01
-   4  sg_p3        1.40947e+00   6.04329e-02   1.61506e-03   3.47616e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.033e-01  1.010e-02  6.404e-03 -2.894e-03 
-  1.010e-02  8.661e-02  1.063e-02  7.128e-03 
-  6.404e-03  1.063e-02  4.403e-03  8.132e-04 
- -2.894e-03  7.128e-03  8.132e-04  3.653e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36907   1.000  0.107  0.300 -0.149
-        2  0.62006   0.107  1.000  0.545  0.401
-        3  0.59757   0.300  0.545  1.000  0.203
-        4  0.44647  -0.149  0.401  0.203  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM HESSE     STATUS=OK             23 CALLS         199 TOTAL
-                     EDM=1.79239e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57153e+02   3.21538e-01   2.01606e-04   8.62318e-02
-   2  sg_p1        1.59907e+01   2.94927e-01   3.90662e-04   9.92360e-02
-   3  sg_p2        1.40719e+00   6.64804e-02   7.94782e-05  -4.52397e-01
-   4  sg_p3        1.40947e+00   6.05049e-02   6.46026e-05  -6.40123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.034e-01  1.015e-02  6.439e-03 -2.895e-03 
-  1.015e-02  8.701e-02  1.072e-02  7.193e-03 
-  6.439e-03  1.072e-02  4.421e-03  8.247e-04 
- -2.895e-03  7.193e-03  8.247e-04  3.661e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37018   1.000  0.107  0.301 -0.149
-        2  0.62233   0.107  1.000  0.547  0.403
-        3  0.59978   0.301  0.547  1.000  0.205
-        4  0.44859  -0.149  0.403  0.205  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.153 +- 0.321538
-15.9907 +- 0.294927
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.5 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -4.27508e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00   5.60673e+01
-   3  sg_p2        9.57872e-01   5.00000e-01   0.00000e+00  -1.96076e+02
-   4  sg_p3        1.43385e+00   7.00000e-01  -6.31466e-01   3.52996e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM MIGRAD    STATUS=CONVERGED     145 CALLS         146 TOTAL
-                     EDM=1.59039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58875e+02   3.28831e-01   1.01097e-03   2.51867e-01
-   2  sg_p1        1.50106e+01   3.27326e-01   1.94006e-03  -7.48907e-02
-   3  sg_p2        1.28146e+00   5.35843e-02   1.64296e-03  -7.25386e-02
-   4  sg_p3        1.13283e+00   5.00773e-02   1.24085e-03   1.93411e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.081e-01 -1.435e-02  2.668e-03 -5.685e-03 
- -1.435e-02  1.072e-01  9.872e-03  9.778e-03 
-  2.668e-03  9.872e-03  2.872e-03  8.529e-04 
- -5.685e-03  9.778e-03  8.529e-04  2.508e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44454   1.000 -0.133  0.151 -0.345
-        2  0.71564  -0.133  1.000  0.563  0.596
-        3  0.61000   0.151  0.563  1.000  0.318
-        4  0.65614  -0.345  0.596  0.318  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM HESSE     STATUS=OK             23 CALLS         169 TOTAL
-                     EDM=1.59031e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58875e+02   3.28953e-01   2.02195e-04   1.55611e-01
-   2  sg_p1        1.50106e+01   3.28179e-01   3.88013e-04   1.06416e-03
-   3  sg_p2        1.28146e+00   5.36907e-02   6.57184e-05  -5.09126e-01
-   4  sg_p3        1.13283e+00   5.01651e-02   2.48171e-04  -7.42776e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.082e-01 -1.448e-02  2.668e-03 -5.699e-03 
- -1.448e-02  1.077e-01  9.953e-03  9.852e-03 
-  2.668e-03  9.953e-03  2.883e-03  8.627e-04 
- -5.699e-03  9.852e-03  8.627e-04  2.517e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44521   1.000 -0.134  0.151 -0.345
-        2  0.71741  -0.134  1.000  0.565  0.598
-        3  0.61203   0.151  0.565  1.000  0.320
-        4  0.65766  -0.345  0.598  0.320  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.875 +- 0.328953
-15.0106 +- 0.328179
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14133.8 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.22550e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -8.95889e+01
-   3  sg_p2        1.26916e+00   5.00000e-01   0.00000e+00   3.67893e+01
-   4  sg_p3        1.35775e+00   7.00000e-01  -6.58678e-01  -5.62243e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM MIGRAD    STATUS=CONVERGED     210 CALLS         211 TOTAL
-                     EDM=0.000238073    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.56327e+02   3.14482e-01   9.83418e-04   8.55741e-01
-   2  sg_p1        1.57284e+01   2.76951e-01   1.90229e-03  -1.45089e-01
-   3  sg_p2        1.38542e+00   5.70093e-02   1.81418e-03   3.93447e-01
-   4  sg_p3        1.37775e+00   5.81896e-02   1.54738e-03   1.23982e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.890e-02  1.894e-03  3.842e-03 -3.325e-03 
-  1.894e-03  7.672e-02  7.163e-03  6.201e-03 
-  3.842e-03  7.163e-03  3.251e-03  5.637e-04 
- -3.325e-03  6.201e-03  5.637e-04  3.387e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30810   1.000  0.022  0.214 -0.182
-        2  0.55065   0.022  1.000  0.454  0.385
-        3  0.49896   0.214  0.454  1.000  0.170
-        4  0.43088  -0.182  0.385  0.170  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM HESSE     STATUS=OK             23 CALLS         234 TOTAL
-                     EDM=0.000238571    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.56327e+02   3.14566e-01   1.96684e-04   5.31070e-02
-   2  sg_p1        1.57284e+01   2.77362e-01   3.80459e-04   7.29003e-02
-   3  sg_p2        1.38542e+00   5.70763e-02   3.62837e-04  -4.62101e-01
-   4  sg_p3        1.37775e+00   5.82399e-02   3.09477e-04  -6.51471e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.896e-02  1.863e-03  3.856e-03 -3.331e-03 
-  1.863e-03  7.695e-02  7.208e-03  6.244e-03 
-  3.856e-03  7.208e-03  3.258e-03  5.699e-04 
- -3.331e-03  6.244e-03  5.699e-04  3.392e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30889   1.000  0.021  0.215 -0.182
-        2  0.55252   0.021  1.000  0.455  0.386
-        3  0.50072   0.215  0.455  1.000  0.171
-        4  0.43251  -0.182  0.386  0.171  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-556.327 +- 0.314566
-15.7284 +- 0.277362
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14534.5 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.04994e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.14427e+02
-   3  sg_p2        1.18464e+00   5.00000e-01   0.00000e+00   9.96830e+01
-   4  sg_p3        1.38937e+00   7.00000e-01  -6.47305e-01   1.30603e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM MIGRAD    STATUS=CONVERGED     185 CALLS         186 TOTAL
-                     EDM=5.50119e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58137e+02   3.32100e-01   9.95556e-04   1.68841e-01
-   2  sg_p1        1.48812e+01   3.22440e-01   1.91611e-03   3.95624e-02
-   3  sg_p2        1.27842e+00   5.09588e-02   1.60067e-03  -7.54823e-02
-   4  sg_p3        1.11410e+00   4.98337e-02   1.21814e-03   6.18485e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.103e-01 -2.020e-02  1.794e-03 -6.256e-03 
- -2.020e-02  1.040e-01  8.614e-03  9.577e-03 
-  1.794e-03  8.614e-03  2.597e-03  7.646e-04 
- -6.256e-03  9.577e-03  7.646e-04  2.484e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44749   1.000 -0.189  0.106 -0.378
-        2  0.69890  -0.189  1.000  0.524  0.596
-        3  0.56724   0.106  0.524  1.000  0.301
-        4  0.65666  -0.378  0.596  0.301  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM HESSE     STATUS=OK             23 CALLS         209 TOTAL
-                     EDM=5.49735e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58137e+02   3.32253e-01   1.99111e-04   1.25809e-01
-   2  sg_p1        1.48812e+01   3.23301e-01   7.66446e-05  -1.18793e-02
-   3  sg_p2        1.27842e+00   5.10516e-02   6.40269e-05  -5.10521e-01
-   4  sg_p3        1.11410e+00   4.99281e-02   4.87255e-05  -7.50065e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.104e-01 -2.039e-02  1.786e-03 -6.279e-03 
- -2.039e-02  1.046e-01  8.688e-03  9.654e-03 
-  1.786e-03  8.688e-03  2.607e-03  7.739e-04 
- -6.279e-03  9.654e-03  7.739e-04  2.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44831   1.000 -0.190  0.105 -0.378
-        2  0.70084  -0.190  1.000  0.526  0.598
-        3  0.56941   0.105  0.526  1.000  0.304
-        4  0.65830  -0.378  0.598  0.304  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.137 +- 0.332253
-14.8812 +- 0.323301
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14860.1 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.96476e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.39102e+02
-   3  sg_p2        1.31219e+00   5.00000e-01   0.00000e+00   8.51723e+01
-   4  sg_p3        1.40309e+00   7.00000e-01  -6.42399e-01  -3.16309e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=2.32867e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57839e+02   3.16310e-01   9.64235e-04  -9.53938e-03
-   2  sg_p1        1.45911e+01   3.04213e-01   1.85567e-03  -1.11765e-02
-   3  sg_p2        1.30884e+00   5.20626e-02   1.65224e-03   2.13112e-02
-   4  sg_p3        1.13165e+00   4.90247e-02   1.22393e-03   1.25630e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.679e-02  1.892e-03 -5.645e-03 
- -1.679e-02  9.257e-02  8.162e-03  8.712e-03 
-  1.892e-03  8.162e-03  2.711e-03  7.376e-04 
- -5.645e-03  8.712e-03  7.376e-04  2.404e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43494   1.000 -0.174  0.115 -0.364
-        2  0.68887  -0.174  1.000  0.515  0.584
-        3  0.55849   0.115  0.515  1.000  0.289
-        4  0.64393  -0.364  0.584  0.289  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM HESSE     STATUS=OK             23 CALLS         230 TOTAL
-                     EDM=2.3344e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57839e+02   3.16455e-01   3.85694e-05   1.13812e-01
-   2  sg_p1        1.45911e+01   3.05011e-01   7.42270e-05  -4.09030e-02
-   3  sg_p2        1.30884e+00   5.21549e-02   6.60897e-05  -4.96630e-01
-   4  sg_p3        1.13165e+00   4.91147e-02   4.89571e-05  -7.43231e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.696e-02  1.886e-03 -5.665e-03 
- -1.696e-02  9.306e-02  8.232e-03  8.781e-03 
-  1.886e-03  8.232e-03  2.721e-03  7.467e-04 
- -5.665e-03  8.781e-03  7.467e-04  2.413e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43580   1.000 -0.176  0.114 -0.364
-        2  0.69086  -0.176  1.000  0.517  0.586
-        3  0.56066   0.114  0.517  1.000  0.291
-        4  0.64559  -0.364  0.586  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.839 +- 0.316455
-14.5911 +- 0.305011
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13882.6 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.85565e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -4.99994e+01
-   3  sg_p2        1.14901e+00   5.00000e-01  -8.51477e-02   2.28635e+00
-   4  sg_p3        1.41391e+00   7.00000e-01   0.00000e+00   1.79604e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=1.65564e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57980e+02   3.34363e-01   9.81953e-04   6.44675e-02
-   2  sg_p1        1.47979e+01   3.20681e-01   1.89110e-03   8.04335e-02
-   3  sg_p2        1.31085e+00   5.36609e-02   1.65482e-03  -1.47147e-01
-   4  sg_p3        1.12068e+00   5.06777e-02   1.22086e-03   1.27989e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.118e-01 -2.084e-02  1.817e-03 -6.408e-03 
- -2.084e-02  1.029e-01  8.748e-03  9.557e-03 
-  1.817e-03  8.748e-03  2.880e-03  7.828e-04 
- -6.408e-03  9.557e-03  7.828e-04  2.569e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44246   1.000 -0.194  0.101 -0.378
-        2  0.68849  -0.194  1.000  0.508  0.588
-        3  0.55062   0.101  0.508  1.000  0.288
-        4  0.64866  -0.378  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=1.65875e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57980e+02   3.34499e-01   1.96391e-04   1.19503e-01
-   2  sg_p1        1.47979e+01   3.21384e-01   3.78219e-04  -2.02134e-02
-   3  sg_p2        1.31085e+00   5.37405e-02   3.30963e-04  -4.95716e-01
-   4  sg_p3        1.12068e+00   5.07549e-02   2.44171e-04  -7.47499e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.119e-01 -2.101e-02  1.811e-03 -6.428e-03 
- -2.101e-02  1.033e-01  8.812e-03  9.620e-03 
-  1.811e-03  8.812e-03  2.889e-03  7.908e-04 
- -6.428e-03  9.620e-03  7.908e-04  2.576e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44320   1.000 -0.195  0.101 -0.379
-        2  0.69016  -0.195  1.000  0.510  0.590
-        3  0.55249   0.101  0.510  1.000  0.290
-        4  0.65002  -0.379  0.590  0.290  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.98 +- 0.334499
-14.7979 +- 0.321384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15819.8 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.00618e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.06424e+02
-   3  sg_p2        1.24250e+00   5.00000e-01   0.00000e+00   8.72112e+01
-   4  sg_p3        1.58707e+00   7.00000e-01  -5.78240e-01   1.36356e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=3.72733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57991e+02   3.13470e-01   9.81807e-04   1.43269e-02
-   2  sg_p1        1.48025e+01   3.00871e-01   1.88933e-03   1.01623e-01
-   3  sg_p2        1.30793e+00   5.01308e-02   1.66000e-03  -7.41075e-02
-   4  sg_p3        1.12096e+00   4.75155e-02   1.22457e-03  -3.73256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.827e-02 -1.818e-02  1.608e-03 -5.619e-03 
- -1.818e-02  9.055e-02  7.685e-03  8.406e-03 
-  1.608e-03  7.685e-03  2.514e-03  6.873e-04 
- -5.619e-03  8.406e-03  6.873e-04  2.258e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44218   1.000 -0.193  0.102 -0.377
-        2  0.68889  -0.193  1.000  0.509  0.588
-        3  0.55187   0.102  0.509  1.000  0.288
-        4  0.64863  -0.377  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=3.72671e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57991e+02   3.13600e-01   1.96361e-04   1.19946e-01
-   2  sg_p1        1.48025e+01   3.01553e-01   3.77865e-04  -1.97513e-02
-   3  sg_p2        1.30793e+00   5.02105e-02   6.64000e-05  -4.97043e-01
-   4  sg_p3        1.12096e+00   4.75893e-02   2.44915e-04  -7.47388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.835e-02 -1.832e-02  1.604e-03 -5.636e-03 
- -1.832e-02  9.096e-02  7.744e-03  8.463e-03 
-  1.604e-03  7.744e-03  2.522e-03  6.946e-04 
- -5.636e-03  8.463e-03  6.946e-04  2.265e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44293   1.000 -0.194  0.102 -0.378
-        2  0.69061  -0.194  1.000  0.511  0.590
-        3  0.55387   0.102  0.511  1.000  0.291
-        4  0.65001  -0.378  0.590  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.991 +- 0.3136
-14.8025 +- 0.301553
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 557.153 +- 0.321538 (stat) - 0.826073 + 1.72147 (syst); -0.841572/+1.72896 (total)
-   Uncertainty on sg_p1 = 15.9907 +- 0.294927 (stat) - 1.39965 + 0 (syst); -1.40739/+0.147463 (total)
-   Uncertainty on sg_p2 = 1.40719 +- 0.0664804 (stat) - 0.128774 + 0 (syst); -0.132995/+0.0332402 (total)
-   Uncertainty on sg_p3 = 1.40947 +- 0.0605049 (stat) - 0.295372 + 0 (syst); -0.296917/+0.0302524 (total)
-   === Baseline plot === </br>
-   norm = 123.788
-JEC     lnN   1.02905  -
-JER     lnN   1.01484  -
-btag    lnN   1.06518  -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
deleted file mode 100644
index 646190b..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,6 +0,0 @@
-Running Minos for POI 
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0608587  -0.0608587/+2.35053  (68% CL)
-nll S+B -> -5.77743e-05  nll B -> -1.20315e-05
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
deleted file mode 100644
index a62c69f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 13.613931:	q_mu = 3.84856	q_A  = 3.84869	CLsb = 0.02489	CLb  = 0.50001	CLs  = 0.04979
-
- -- Asymptotic -- 
-Observed Limit: r < 13.6139
-Expected  2.5%: r < 7.0726
-Expected 16.0%: r < 9.5570
-Expected 50.0%: r < 13.5625
-Expected 84.0%: r < 19.6714
-Expected 97.5%: r < 27.5074
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt
deleted file mode 100644
index fe3b242..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.01596 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06702    -
-JER       lnN     1.01328   - 
-JEC       lnN     1.02779   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0229477477   -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 1900262..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.9498 FROM MIGRAD    STATUS=CONVERGED      71 CALLS          72 TOTAL
-                     EDM=6.95637e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.30566e+01   1.77733e+00   2.65488e-03   2.23742e-05
-   2  Mean         1.00046e+00   3.03346e-03   5.72003e-06   3.78371e-01
-   3  Sigma        2.29477e-02   2.84199e-03   6.88862e-05   6.32201e-03
-1.00046088083 +/- 0.0030334648545
-0.0229477477015 +/- 0.00284199080585
-PDF lnN 1.0229477477
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/signal600_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/signal600_sig.log
deleted file mode 100644
index 2b9a4cd..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_crystal_1_550_1200/signal600_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20407.2 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.37960e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.20569e+02
-   3  sg_p2        9.48780e-01   5.00000e-01   0.00000e+00   2.19249e+02
-   4  sg_p3        9.35752e-01   7.00000e-01  -8.22196e-01  -2.16926e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM MIGRAD    STATUS=CONVERGED     258 CALLS         259 TOTAL
-                     EDM=3.54203e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92104e+02   4.94229e-01   1.62450e-03  -2.33203e-01
-   2  sg_p1        3.16035e+01   3.64838e-01   4.18602e-03   4.92054e-02
-   3  sg_p2        2.32184e+00   1.74449e-01   2.49592e-03   4.15288e-02
-   4  sg_p3        2.56533e+00   2.80149e-01   3.09113e-03   3.31222e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  4.410e-04  2.284e-03 -4.332e-04 
-  4.410e-04  1.332e-01  3.420e-03  4.258e-04 
-  2.284e-03  3.420e-03  3.048e-02  4.517e-05 
- -4.332e-04  4.258e-04  4.517e-05  7.866e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02667   1.000  0.002  0.026 -0.003
-        2  0.05384   0.002  1.000  0.054  0.004
-        3  0.05979   0.026  0.054  1.000  0.001
-        4  0.00527  -0.003  0.004  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM HESSE     STATUS=OK             23 CALLS         282 TOTAL
-                     EDM=3.55279e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92104e+02   4.94244e-01   3.24901e-04   7.01930e-02
-   2  sg_p1        3.16035e+01   3.64897e-01   1.67441e-04   8.15808e-01
-   3  sg_p2        2.32184e+00   1.74479e-01   4.99183e-04  -7.13248e-02
-   4  sg_p3        2.56533e+00   2.80163e-01   6.18226e-04  -2.70328e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  3.135e-04  2.378e-03 -5.538e-04 
-  3.135e-04  1.332e-01  3.580e-03  7.538e-04 
-  2.378e-03  3.580e-03  3.049e-02  5.456e-05 
- -5.538e-04  7.538e-04  5.456e-05  7.867e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02784   1.000  0.002  0.028 -0.004
-        2  0.05664   0.002  1.000  0.056  0.007
-        3  0.06252   0.028  0.056  1.000  0.001
-        4  0.00842  -0.004  0.007  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-592.104 +- 0.494244
-31.6035 +- 0.364897
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20903.6 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.76905e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.33312e+02
-   3  sg_p2        8.35066e-01   5.00000e-01   0.00000e+00   1.55262e+02
-   4  sg_p3        1.06407e+00   7.00000e-01  -7.69784e-01  -6.62795e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.01877 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             27 CALLS         327 TOTAL
-                     EDM=0.353557    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   1.65618e-03   2.97074e-02
-   2  sg_p1        3.19678e+01   3.59009e-01   4.38078e-03   7.51718e-03
-   3  sg_p2        3.30884e+00   1.90897e+00   9.40463e-02  -2.17700e-03
-   4  sg_p3        3.57858e+00   1.02503e+00   5.00000e-01  -2.82844e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=20782.7 FROM MIGRAD    STATUS=CONVERGED     349 CALLS         350 TOTAL
-                     EDM=0.00116564    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.5 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   0.00000e+00  -7.95791e-04
-   2  sg_p1        3.19677e+01   3.59015e-01   0.00000e+00  -1.29854e-03
-   3  sg_p2        3.31338e+00   1.90573e+00   0.00000e+00  -5.13595e-02
-   4  sg_p3        4.44183e+00   9.90294e-01   0.00000e+00  -7.71997e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.206e-04 -3.792e-05  6.874e-06 
-  1.206e-04  1.290e-01 -2.103e-05  2.400e-05 
- -3.792e-05 -2.103e-05  4.913e+00  1.276e-01 
-  6.874e-06  2.400e-05  1.276e-01  1.010e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00068   1.000  0.001 -0.000  0.000
-        2  0.00069   0.001  1.000 -0.000  0.000
-        3  0.05726  -0.000 -0.000  1.000  0.057
-        4  0.05726   0.000  0.000  0.057  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             29 CALLS         379 TOTAL
-                     EDM=0.00193193    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.94811e+02   4.92614e-01   1.65617e-03   1.61052e-01
-   2  sg_p1        3.19677e+01   3.59005e-01   1.75231e-03   8.59341e-01
-   3  sg_p2        3.31338e+00   1.92835e+00   9.34815e-02   3.31384e-01
-   4  sg_p3        4.44183e+00   4.36098e+00   5.00000e-01   2.72453e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.189e-04  4.150e-10  3.937e-09 
-  1.189e-04  1.290e-01  7.552e-10  7.164e-09 
-  4.150e-10  7.552e-10  5.086e+00  4.866e-17 
-  3.937e-09  7.164e-09  4.866e-17  3.680e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00067   1.000  0.001  0.000  0.000
-        2  0.00067   0.001  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-594.811 +- 0.492614
-31.9677 +- 0.359005
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19759.2 FROM MIGRAD    STATUS=INITIATE       61 CALLS          62 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -3.08252e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00   3.47377e+00
-   3  sg_p2        1.03803e+00   5.00000e-01   0.00000e+00   1.96966e+02
-   4  sg_p3        6.78922e-01   7.00000e-01  -9.37400e-01  -9.51087e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             27 CALLS         295 TOTAL
-                     EDM=0.000519933    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89106e+02   4.99310e-01   1.60340e-03  -1.77687e-01
-   2  sg_p1        3.11952e+01   3.74439e-01   3.97599e-03   1.75125e-01
-   3  sg_p2        2.15446e+00   1.55638e-01   6.05904e-03   5.07493e-02
-   4  sg_p3        2.86472e+00   1.00280e+00   2.23604e-02   1.02315e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00142 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=19618.4 FROM MIGRAD    STATUS=FAILED        359 CALLS         360 TOTAL
-                     EDM=0.026975    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  42.7 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89107e+02   1.06052e+00   0.00000e+00   3.45243e-02
-   2  sg_p1        3.11930e+01   5.01209e-01   0.00000e+00   3.04828e-02
-   3  sg_p2        2.15412e+00   1.61274e+00  -0.00000e+00   1.77468e-02
-   4  sg_p3        2.85260e+00   2.27046e+00   0.00000e+00  -1.96724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.125e+00 -5.647e-02  7.612e-01  2.001e+00 
- -5.647e-02  2.515e-01 -5.717e-01  8.039e-02 
-  7.612e-01 -5.717e-01  3.085e+00 -2.479e-02 
-  2.001e+00  8.039e-02 -2.479e-02  6.149e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.87825   1.000 -0.106  0.409  0.761
-        2  0.68964  -0.106  1.000 -0.649  0.065
-        3  0.81697   0.409 -0.649  1.000 -0.006
-        4  0.84389   0.761  0.065 -0.006  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             29 CALLS         389 TOTAL
-                     EDM=1.78558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.89107e+02   4.98832e-01   1.60273e-03  -2.97585e-02
-   2  sg_p1        3.11930e+01   3.72807e-01   3.96095e-03   7.69036e-01
-   3  sg_p2        2.15412e+00   1.55604e-01   5.99006e-03  -1.38798e-01
-   4  sg_p3        2.85260e+00   7.77091e-01   2.18365e-02  -1.86043e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.489e-01  3.933e-03  6.510e-03 -1.038e-02 
-  3.933e-03  1.391e-01  8.935e-03  1.739e-02 
-  6.510e-03  8.935e-03  2.424e-02  8.994e-04 
- -1.038e-02  1.739e-02  8.994e-04  6.144e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08866   1.000  0.021  0.084 -0.027
-        2  0.16487   0.021  1.000  0.154  0.059
-        3  0.17370   0.084  0.154  1.000  0.007
-        4  0.06566  -0.027  0.059  0.007  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-589.107 +- 0.498832
-31.193 +- 0.372807
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18511.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.40396e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.52378e+01
-   3  sg_p2        1.18490e+00   5.00000e-01   0.00000e+00   2.04158e+01
-   4  sg_p3        1.47860e+00   7.00000e-01  -6.15717e-01  -1.54349e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=1.54851e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08692e+02   3.23280e-01   1.16514e-03  -7.99199e-03
-   2  sg_p1        1.83569e+01   2.79934e-01   3.02518e-03  -2.66369e-02
-   3  sg_p2        1.48767e+00   5.44286e-02   2.05315e-03   4.94574e-02
-   4  sg_p3        1.40613e+00   6.14668e-02   1.81455e-03   2.39101e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.045e-01 -9.051e-03  2.188e-03 -5.216e-03 
- -9.051e-03  7.840e-02  5.474e-03  7.094e-03 
-  2.188e-03  5.474e-03  2.963e-03  4.768e-04 
- -5.216e-03  7.094e-03  4.768e-04  3.779e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31290   1.000 -0.100  0.124 -0.262
-        2  0.51370  -0.100  1.000  0.359  0.412
-        3  0.39510   0.124  0.359  1.000  0.142
-        4  0.46945  -0.262  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM HESSE     STATUS=OK             23 CALLS         222 TOTAL
-                     EDM=1.54744e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08692e+02   3.23426e-01   4.66057e-05   1.48232e-01
-   2  sg_p1        1.83569e+01   2.80464e-01   1.21007e-04   1.14504e-01
-   3  sg_p2        1.48767e+00   5.44911e-02   8.21259e-05  -4.16906e-01
-   4  sg_p3        1.40613e+00   6.15475e-02   7.25820e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.046e-01 -9.179e-03  2.197e-03 -5.241e-03 
- -9.179e-03  7.870e-02  5.524e-03  7.158e-03 
-  2.197e-03  5.524e-03  2.970e-03  4.840e-04 
- -5.241e-03  7.158e-03  4.840e-04  3.789e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.101  0.125 -0.263
-        2  0.51639  -0.101  1.000  0.361  0.415
-        3  0.39754   0.125  0.361  1.000  0.144
-        4  0.47162  -0.263  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.692 +- 0.323426
-18.3569 +- 0.280464
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18914.3 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07615e+02   5.00000e+00   0.00000e+00  -3.22775e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   5.18097e+00
-   3  sg_p2        1.14423e+00   5.00000e-01   0.00000e+00  -1.00194e+02
-   4  sg_p3        1.45830e+00   7.00000e-01  -6.22838e-01   5.05414e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=2.83441e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.09835e+02   3.20458e-01   1.18122e-03   1.99716e-02
-   2  sg_p1        1.84026e+01   2.81622e-01   3.04842e-03  -4.57325e-03
-   3  sg_p2        1.46608e+00   5.89939e-02   2.13709e-03  -5.15374e-04
-   4  sg_p3        1.40527e+00   5.47157e-02   1.70241e-03   2.83643e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.027e-01  2.191e-03  4.166e-03 -3.049e-03 
-  2.191e-03  7.935e-02  7.350e-03  5.397e-03 
-  4.166e-03  7.350e-03  3.481e-03  4.765e-04 
- -3.049e-03  5.397e-03  4.765e-04  2.994e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30388   1.000  0.024  0.220 -0.174
-        2  0.52791   0.024  1.000  0.442  0.350
-        3  0.49057   0.220  0.442  1.000  0.148
-        4  0.39639  -0.174  0.350  0.148  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=2.83854e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.09835e+02   3.20577e-01   2.36244e-04   1.94613e-01
-   2  sg_p1        1.84026e+01   2.82160e-01   1.21937e-04   1.20635e-01
-   3  sg_p2        1.46608e+00   5.90852e-02   8.54835e-05  -4.26369e-01
-   4  sg_p3        1.40527e+00   5.47727e-02   6.80964e-05  -6.41619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.028e-01  2.166e-03  4.187e-03 -3.058e-03 
-  2.166e-03  7.965e-02  7.413e-03  5.449e-03 
-  4.187e-03  7.413e-03  3.492e-03  4.840e-04 
- -3.058e-03  5.449e-03  4.840e-04  3.000e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30498   1.000  0.024  0.221 -0.174
-        2  0.53050   0.024  1.000  0.444  0.352
-        3  0.49295   0.221  0.444  1.000  0.150
-        4  0.39859  -0.174  0.352  0.150  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-609.835 +- 0.320577
-18.4026 +- 0.28216
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17827.8 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -3.81579e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -1.00435e+02
-   3  sg_p2        1.28822e+00   5.00000e-01   0.00000e+00   2.73039e+01
-   4  sg_p3        1.80614e+00   7.00000e-01  -5.05175e-01   1.07828e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0886e+00  1.1061e+00  1.8427e+00  2.1398e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.090718 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         194 TOTAL
-                     EDM=0.416197    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07398e+02   2.64955e+00   1.52214e-04  -1.22217e+01
-   2  sg_p1        1.77156e+01   1.07159e+00   3.05183e-03  -2.94405e+00
-   3  sg_p2        1.40875e+00   4.86527e-02   4.22960e-04  -1.06232e+01
-   4  sg_p3        1.34786e+00   1.92678e-01   1.78861e-03   3.70210e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=17796.1 FROM MIGRAD    STATUS=FAILED        231 CALLS         232 TOTAL
-                     EDM=854.994    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07407e+02   1.35903e-01  -0.00000e+00   6.05600e+02
-   2  sg_p1        1.77116e+01   1.50263e-01   0.00000e+00   1.62850e+02
-   3  sg_p2        1.40858e+00   6.28910e-03   0.00000e+00  -1.08286e+01
-   4  sg_p3        1.34715e+00   2.75057e-02   0.00000e+00   3.92805e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.847e-02 -2.028e-02 -7.414e-04 -3.202e-03 
- -2.028e-02  2.258e-02  8.238e-04  3.560e-03 
- -7.414e-04  8.238e-04  3.955e-05  1.478e-04 
- -3.202e-03  3.560e-03  1.478e-04  7.566e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99312   1.000 -0.993 -0.867 -0.856
-        2  0.99342  -0.993  1.000  0.872  0.861
-        3  0.89539  -0.867  0.872  1.000  0.855
-        4  0.88698  -0.856  0.861  0.855  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.1751e+01  9.9679e-01  1.9909e+00  7.2763e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 71.823632 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         259 TOTAL
-                     EDM=0.0450234    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07407e+02   8.84526e-03   4.47722e-05   9.64479e-02
-   2  sg_p1        1.77116e+01   9.83564e-03   1.65224e-04   2.82174e-02
-   3  sg_p2        1.40858e+00   7.59554e-03   2.51140e-05  -4.51783e-01
-   4  sg_p3        1.34715e+00   1.39806e-01   8.90793e-05  -6.62511e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.824e-05  8.666e-05 -3.386e-05  1.235e-03 
-  8.666e-05  9.674e-05 -3.765e-05  1.373e-03 
- -3.386e-05 -3.765e-05  5.769e-05 -5.353e-04 
-  1.235e-03  1.373e-03 -5.353e-04  1.956e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99802   1.000  0.996 -0.504  0.998
-        2  0.99801   0.996  1.000 -0.504  0.998
-        3  0.50444  -0.504 -0.504  1.000 -0.504
-        4  0.99899   0.998  0.998 -0.504  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-607.407 +- 0.00884526
-17.7116 +- 0.00983564
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18313.7 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.10963e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.40680e+01
-   3  sg_p2        1.12814e+00   5.00000e-01   0.00000e+00  -1.98843e+01
-   4  sg_p3        1.45064e+00   7.00000e-01  -6.25537e-01  -1.20812e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM MIGRAD    STATUS=CONVERGED     166 CALLS         167 TOTAL
-                     EDM=7.98313e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08803e+02   3.30506e-01   1.18077e-03  -1.43643e-02
-   2  sg_p1        1.84717e+01   2.89622e-01   3.07900e-03  -7.62757e-02
-   3  sg_p2        1.45856e+00   5.36517e-02   1.98838e-03  -2.33437e-02
-   4  sg_p3        1.38960e+00   6.15342e-02   1.80011e-03   4.41451e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.092e-01 -9.440e-03  2.340e-03 -5.461e-03 
- -9.440e-03  8.392e-02  5.863e-03  7.559e-03 
-  2.340e-03  5.863e-03  2.879e-03  5.057e-04 
- -5.461e-03  7.559e-03  5.057e-04  3.787e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32401   1.000 -0.099  0.132 -0.268
-        2  0.53046  -0.099  1.000  0.377  0.424
-        3  0.41529   0.132  0.377  1.000  0.153
-        4  0.48258  -0.268  0.424  0.153  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM HESSE     STATUS=OK             23 CALLS         190 TOTAL
-                     EDM=8.00182e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08803e+02   3.30636e-01   2.36154e-04   1.52717e-01
-   2  sg_p1        1.84717e+01   2.90111e-01   6.15801e-04   1.29921e-01
-   3  sg_p2        1.45856e+00   5.37098e-02   7.95354e-05  -4.29674e-01
-   4  sg_p3        1.38960e+00   6.16044e-02   3.60021e-04  -6.47219e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.093e-01 -9.548e-03  2.348e-03 -5.481e-03 
- -9.548e-03  8.421e-02  5.909e-03  7.616e-03 
-  2.348e-03  5.909e-03  2.885e-03  5.122e-04 
- -5.481e-03  7.616e-03  5.122e-04  3.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32509   1.000 -0.100  0.132 -0.269
-        2  0.53273  -0.100  1.000  0.379  0.426
-        3  0.41743   0.132  0.379  1.000  0.155
-        4  0.48438  -0.269  0.426  0.155  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.803 +- 0.330636
-18.4717 +- 0.290111
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18711.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.18390e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.18392e+01
-   3  sg_p2        1.20377e+00   5.00000e-01   0.00000e+00   8.44187e+00
-   4  sg_p3        1.54524e+00   7.00000e-01  -5.92581e-01   1.53539e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=3.64592e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08629e+02   3.18788e-01   1.15078e-03  -3.36230e-01
-   2  sg_p1        1.81384e+01   2.76492e-01   2.97751e-03  -6.31530e-02
-   3  sg_p2        1.49686e+00   5.44757e-02   2.06505e-03   2.07196e-02
-   4  sg_p3        1.39306e+00   6.05611e-02   1.78870e-03   1.70313e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.016e-01 -1.019e-02  2.021e-03 -5.340e-03 
- -1.019e-02  7.648e-02  5.389e-03  7.151e-03 
-  2.021e-03  5.389e-03  2.968e-03  4.840e-04 
- -5.340e-03  7.151e-03  4.840e-04  3.668e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32316   1.000 -0.116  0.116 -0.277
-        2  0.52296  -0.116  1.000  0.358  0.427
-        3  0.39289   0.116  0.358  1.000  0.147
-        4  0.48547  -0.277  0.427  0.147  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM HESSE     STATUS=OK             23 CALLS         229 TOTAL
-                     EDM=3.64813e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08629e+02   3.18930e-01   2.30156e-04   1.45672e-01
-   2  sg_p1        1.81384e+01   2.76957e-01   5.95502e-04   8.52226e-02
-   3  sg_p2        1.49686e+00   5.45322e-02   8.26022e-05  -4.12888e-01
-   4  sg_p3        1.39306e+00   6.06332e-02   7.15481e-05  -6.45981e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.017e-01 -1.031e-02  2.029e-03 -5.364e-03 
- -1.031e-02  7.674e-02  5.434e-03  7.205e-03 
-  2.029e-03  5.434e-03  2.974e-03  4.905e-04 
- -5.364e-03  7.205e-03  4.905e-04  3.677e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32439   1.000 -0.117  0.117 -0.277
-        2  0.52528  -0.117  1.000  0.360  0.429
-        3  0.39510   0.117  0.360  1.000  0.148
-        4  0.48733  -0.277  0.429  0.148  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.629 +- 0.31893
-18.1384 +- 0.276957
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17303.3 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -6.79986e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.47913e+01
-   3  sg_p2        1.18392e+00   5.00000e-01   0.00000e+00   1.09112e+01
-   4  sg_p3        1.50179e+00   7.00000e-01  -6.07622e-01  -1.34120e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=1.97081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08678e+02   3.33992e-01   1.16426e-03   9.30660e-02
-   2  sg_p1        1.83420e+01   2.89061e-01   3.02407e-03  -5.38511e-02
-   3  sg_p2        1.48991e+00   5.64139e-02   2.05472e-03  -1.38092e-01
-   4  sg_p3        1.40621e+00   6.35546e-02   1.81513e-03   1.01686e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.116e-01 -9.726e-03  2.331e-03 -5.579e-03 
- -9.726e-03  8.360e-02  5.845e-03  7.576e-03 
-  2.331e-03  5.845e-03  3.183e-03  5.099e-04 
- -5.579e-03  7.576e-03  5.099e-04  4.040e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31288   1.000 -0.101  0.124 -0.263
-        2  0.51335  -0.101  1.000  0.358  0.412
-        3  0.39415   0.124  0.358  1.000  0.142
-        4  0.46956  -0.263  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM HESSE     STATUS=OK             23 CALLS         186 TOTAL
-                     EDM=1.96909e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08678e+02   3.34135e-01   2.32851e-04   1.47652e-01
-   2  sg_p1        1.83420e+01   2.89586e-01   1.20963e-04   1.12504e-01
-   3  sg_p2        1.48991e+00   5.64735e-02   4.10945e-04  -4.15923e-01
-   4  sg_p3        1.40621e+00   6.36376e-02   7.26053e-05  -6.41285e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.117e-01 -9.856e-03  2.338e-03 -5.606e-03 
- -9.856e-03  8.390e-02  5.896e-03  7.643e-03 
-  2.338e-03  5.896e-03  3.190e-03  5.173e-04 
- -5.606e-03  7.643e-03  5.173e-04  4.050e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31411   1.000 -0.102  0.124 -0.264
-        2  0.51594  -0.102  1.000  0.360  0.415
-        3  0.39639   0.124  0.360  1.000  0.144
-        4  0.47171  -0.264  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.678 +- 0.334135
-18.342 +- 0.289586
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19781.5 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.94070e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.71988e+01
-   3  sg_p2        1.17009e+00   5.00000e-01   0.00000e+00  -7.70001e-01
-   4  sg_p3        1.45286e+00   7.00000e-01  -6.24753e-01  -3.36178e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=4.57234e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08706e+02   3.13081e-01   1.16661e-03   7.50814e-02
-   2  sg_p1        1.83713e+01   2.71251e-01   3.02919e-03   4.52649e-02
-   3  sg_p2        1.48521e+00   5.25283e-02   2.04671e-03  -2.57882e-02
-   4  sg_p3        1.40613e+00   5.94897e-02   1.81550e-03   4.82439e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.802e-02 -8.423e-03  2.056e-03 -4.882e-03 
- -8.423e-03  7.361e-02  5.131e-03  6.652e-03 
-  2.056e-03  5.131e-03  2.760e-03  4.464e-04 
- -4.882e-03  6.652e-03  4.464e-04  3.540e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31292   1.000 -0.099  0.125 -0.262
-        2  0.51406  -0.099  1.000  0.360  0.412
-        3  0.39608   0.125  0.360  1.000  0.143
-        4  0.46939  -0.262  0.412  0.143  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=4.58525e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08706e+02   3.13220e-01   2.33322e-04   1.48803e-01
-   2  sg_p1        1.83713e+01   2.71761e-01   1.21167e-04   1.16438e-01
-   3  sg_p2        1.48521e+00   5.25885e-02   8.18685e-05  -4.17982e-01
-   4  sg_p3        1.40613e+00   5.95681e-02   7.26199e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.811e-02 -8.532e-03  2.065e-03 -4.905e-03 
- -8.532e-03  7.389e-02  5.178e-03  6.711e-03 
-  2.065e-03  5.178e-03  2.766e-03  4.531e-04 
- -4.905e-03  6.711e-03  4.531e-04  3.549e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.100  0.125 -0.263
-        2  0.51674  -0.100  1.000  0.362  0.414
-        3  0.39850   0.125  0.362  1.000  0.145
-        4  0.47156  -0.263  0.414  0.145  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.706 +- 0.31322
-18.3713 +- 0.271761
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 608.692 +- 0.323426 (stat) - 1.28478 + 1.14244 (syst); -1.29492/+1.15383 (total)
-   Uncertainty on sg_p1 = 18.3569 +- 0.280464 (stat) - 0.645303 + 0.114761 (syst); -0.660364/+0.181204 (total)
-   Uncertainty on sg_p2 = 1.48767 +- 0.0544911 (stat) - 0.0790904 + 0.00919321 (syst); -0.0836517/+0.0287548 (total)
-   Uncertainty on sg_p3 = 1.40613 +- 0.0615475 (stat) - 0.0589742 + 8.24765e-05 (syst); -0.0665205/+0.0307738 (total)
-   === Baseline plot === </br>
-   norm = 150.798
-JEC     lnN   1.02779  -
-JER     lnN   1.01328  -
-btag    lnN   1.06702  -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
deleted file mode 100644
index 1ad20eb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.101601  -0.101601/+2.8984  (68% CL)
-nll S+B -> -0.00107519  nll B -> -0.000957557
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
deleted file mode 100644
index 0618a9c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 13.977852:	q_mu = 3.83260	q_A  = 3.83161	CLsb = 0.02513	CLb  = 0.49990	CLs  = 0.05028
-
- -- Asymptotic -- 
-Observed Limit: r < 13.9779
-Expected  2.5%: r < 7.3771
-Expected 16.0%: r < 9.9141
-Expected 50.0%: r < 13.9375
-Expected 84.0%: r < 20.1042
-Expected 97.5%: r < 28.1972
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
deleted file mode 100644
index 9ac03b3..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.01596 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06702    -
-JER       lnN     1.01328   - 
-JEC       lnN     1.02779   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0229477477   -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/pdf.log
deleted file mode 100644
index 1900262..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.9498 FROM MIGRAD    STATUS=CONVERGED      71 CALLS          72 TOTAL
-                     EDM=6.95637e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.30566e+01   1.77733e+00   2.65488e-03   2.23742e-05
-   2  Mean         1.00046e+00   3.03346e-03   5.72003e-06   3.78371e-01
-   3  Sigma        2.29477e-02   2.84199e-03   6.88862e-05   6.32201e-03
-1.00046088083 +/- 0.0030334648545
-0.0229477477015 +/- 0.00284199080585
-PDF lnN 1.0229477477
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/signal600_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/signal600_sig.log
deleted file mode 100644
index 2b9a4cd..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_600_novo_550_1200/signal600_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20407.2 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.37960e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.20569e+02
-   3  sg_p2        9.48780e-01   5.00000e-01   0.00000e+00   2.19249e+02
-   4  sg_p3        9.35752e-01   7.00000e-01  -8.22196e-01  -2.16926e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM MIGRAD    STATUS=CONVERGED     258 CALLS         259 TOTAL
-                     EDM=3.54203e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92104e+02   4.94229e-01   1.62450e-03  -2.33203e-01
-   2  sg_p1        3.16035e+01   3.64838e-01   4.18602e-03   4.92054e-02
-   3  sg_p2        2.32184e+00   1.74449e-01   2.49592e-03   4.15288e-02
-   4  sg_p3        2.56533e+00   2.80149e-01   3.09113e-03   3.31222e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  4.410e-04  2.284e-03 -4.332e-04 
-  4.410e-04  1.332e-01  3.420e-03  4.258e-04 
-  2.284e-03  3.420e-03  3.048e-02  4.517e-05 
- -4.332e-04  4.258e-04  4.517e-05  7.866e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02667   1.000  0.002  0.026 -0.003
-        2  0.05384   0.002  1.000  0.054  0.004
-        3  0.05979   0.026  0.054  1.000  0.001
-        4  0.00527  -0.003  0.004  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM HESSE     STATUS=OK             23 CALLS         282 TOTAL
-                     EDM=3.55279e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92104e+02   4.94244e-01   3.24901e-04   7.01930e-02
-   2  sg_p1        3.16035e+01   3.64897e-01   1.67441e-04   8.15808e-01
-   3  sg_p2        2.32184e+00   1.74479e-01   4.99183e-04  -7.13248e-02
-   4  sg_p3        2.56533e+00   2.80163e-01   6.18226e-04  -2.70328e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  3.135e-04  2.378e-03 -5.538e-04 
-  3.135e-04  1.332e-01  3.580e-03  7.538e-04 
-  2.378e-03  3.580e-03  3.049e-02  5.456e-05 
- -5.538e-04  7.538e-04  5.456e-05  7.867e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02784   1.000  0.002  0.028 -0.004
-        2  0.05664   0.002  1.000  0.056  0.007
-        3  0.06252   0.028  0.056  1.000  0.001
-        4  0.00842  -0.004  0.007  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-592.104 +- 0.494244
-31.6035 +- 0.364897
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20903.6 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.76905e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.33312e+02
-   3  sg_p2        8.35066e-01   5.00000e-01   0.00000e+00   1.55262e+02
-   4  sg_p3        1.06407e+00   7.00000e-01  -7.69784e-01  -6.62795e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.01877 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             27 CALLS         327 TOTAL
-                     EDM=0.353557    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   1.65618e-03   2.97074e-02
-   2  sg_p1        3.19678e+01   3.59009e-01   4.38078e-03   7.51718e-03
-   3  sg_p2        3.30884e+00   1.90897e+00   9.40463e-02  -2.17700e-03
-   4  sg_p3        3.57858e+00   1.02503e+00   5.00000e-01  -2.82844e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=20782.7 FROM MIGRAD    STATUS=CONVERGED     349 CALLS         350 TOTAL
-                     EDM=0.00116564    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.5 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   0.00000e+00  -7.95791e-04
-   2  sg_p1        3.19677e+01   3.59015e-01   0.00000e+00  -1.29854e-03
-   3  sg_p2        3.31338e+00   1.90573e+00   0.00000e+00  -5.13595e-02
-   4  sg_p3        4.44183e+00   9.90294e-01   0.00000e+00  -7.71997e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.206e-04 -3.792e-05  6.874e-06 
-  1.206e-04  1.290e-01 -2.103e-05  2.400e-05 
- -3.792e-05 -2.103e-05  4.913e+00  1.276e-01 
-  6.874e-06  2.400e-05  1.276e-01  1.010e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00068   1.000  0.001 -0.000  0.000
-        2  0.00069   0.001  1.000 -0.000  0.000
-        3  0.05726  -0.000 -0.000  1.000  0.057
-        4  0.05726   0.000  0.000  0.057  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             29 CALLS         379 TOTAL
-                     EDM=0.00193193    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.94811e+02   4.92614e-01   1.65617e-03   1.61052e-01
-   2  sg_p1        3.19677e+01   3.59005e-01   1.75231e-03   8.59341e-01
-   3  sg_p2        3.31338e+00   1.92835e+00   9.34815e-02   3.31384e-01
-   4  sg_p3        4.44183e+00   4.36098e+00   5.00000e-01   2.72453e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.189e-04  4.150e-10  3.937e-09 
-  1.189e-04  1.290e-01  7.552e-10  7.164e-09 
-  4.150e-10  7.552e-10  5.086e+00  4.866e-17 
-  3.937e-09  7.164e-09  4.866e-17  3.680e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00067   1.000  0.001  0.000  0.000
-        2  0.00067   0.001  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-594.811 +- 0.492614
-31.9677 +- 0.359005
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19759.2 FROM MIGRAD    STATUS=INITIATE       61 CALLS          62 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -3.08252e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00   3.47377e+00
-   3  sg_p2        1.03803e+00   5.00000e-01   0.00000e+00   1.96966e+02
-   4  sg_p3        6.78922e-01   7.00000e-01  -9.37400e-01  -9.51087e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             27 CALLS         295 TOTAL
-                     EDM=0.000519933    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89106e+02   4.99310e-01   1.60340e-03  -1.77687e-01
-   2  sg_p1        3.11952e+01   3.74439e-01   3.97599e-03   1.75125e-01
-   3  sg_p2        2.15446e+00   1.55638e-01   6.05904e-03   5.07493e-02
-   4  sg_p3        2.86472e+00   1.00280e+00   2.23604e-02   1.02315e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00142 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=19618.4 FROM MIGRAD    STATUS=FAILED        359 CALLS         360 TOTAL
-                     EDM=0.026975    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  42.7 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89107e+02   1.06052e+00   0.00000e+00   3.45243e-02
-   2  sg_p1        3.11930e+01   5.01209e-01   0.00000e+00   3.04828e-02
-   3  sg_p2        2.15412e+00   1.61274e+00  -0.00000e+00   1.77468e-02
-   4  sg_p3        2.85260e+00   2.27046e+00   0.00000e+00  -1.96724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.125e+00 -5.647e-02  7.612e-01  2.001e+00 
- -5.647e-02  2.515e-01 -5.717e-01  8.039e-02 
-  7.612e-01 -5.717e-01  3.085e+00 -2.479e-02 
-  2.001e+00  8.039e-02 -2.479e-02  6.149e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.87825   1.000 -0.106  0.409  0.761
-        2  0.68964  -0.106  1.000 -0.649  0.065
-        3  0.81697   0.409 -0.649  1.000 -0.006
-        4  0.84389   0.761  0.065 -0.006  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             29 CALLS         389 TOTAL
-                     EDM=1.78558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.89107e+02   4.98832e-01   1.60273e-03  -2.97585e-02
-   2  sg_p1        3.11930e+01   3.72807e-01   3.96095e-03   7.69036e-01
-   3  sg_p2        2.15412e+00   1.55604e-01   5.99006e-03  -1.38798e-01
-   4  sg_p3        2.85260e+00   7.77091e-01   2.18365e-02  -1.86043e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.489e-01  3.933e-03  6.510e-03 -1.038e-02 
-  3.933e-03  1.391e-01  8.935e-03  1.739e-02 
-  6.510e-03  8.935e-03  2.424e-02  8.994e-04 
- -1.038e-02  1.739e-02  8.994e-04  6.144e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08866   1.000  0.021  0.084 -0.027
-        2  0.16487   0.021  1.000  0.154  0.059
-        3  0.17370   0.084  0.154  1.000  0.007
-        4  0.06566  -0.027  0.059  0.007  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-589.107 +- 0.498832
-31.193 +- 0.372807
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18511.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.40396e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.52378e+01
-   3  sg_p2        1.18490e+00   5.00000e-01   0.00000e+00   2.04158e+01
-   4  sg_p3        1.47860e+00   7.00000e-01  -6.15717e-01  -1.54349e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=1.54851e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08692e+02   3.23280e-01   1.16514e-03  -7.99199e-03
-   2  sg_p1        1.83569e+01   2.79934e-01   3.02518e-03  -2.66369e-02
-   3  sg_p2        1.48767e+00   5.44286e-02   2.05315e-03   4.94574e-02
-   4  sg_p3        1.40613e+00   6.14668e-02   1.81455e-03   2.39101e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.045e-01 -9.051e-03  2.188e-03 -5.216e-03 
- -9.051e-03  7.840e-02  5.474e-03  7.094e-03 
-  2.188e-03  5.474e-03  2.963e-03  4.768e-04 
- -5.216e-03  7.094e-03  4.768e-04  3.779e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31290   1.000 -0.100  0.124 -0.262
-        2  0.51370  -0.100  1.000  0.359  0.412
-        3  0.39510   0.124  0.359  1.000  0.142
-        4  0.46945  -0.262  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM HESSE     STATUS=OK             23 CALLS         222 TOTAL
-                     EDM=1.54744e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08692e+02   3.23426e-01   4.66057e-05   1.48232e-01
-   2  sg_p1        1.83569e+01   2.80464e-01   1.21007e-04   1.14504e-01
-   3  sg_p2        1.48767e+00   5.44911e-02   8.21259e-05  -4.16906e-01
-   4  sg_p3        1.40613e+00   6.15475e-02   7.25820e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.046e-01 -9.179e-03  2.197e-03 -5.241e-03 
- -9.179e-03  7.870e-02  5.524e-03  7.158e-03 
-  2.197e-03  5.524e-03  2.970e-03  4.840e-04 
- -5.241e-03  7.158e-03  4.840e-04  3.789e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.101  0.125 -0.263
-        2  0.51639  -0.101  1.000  0.361  0.415
-        3  0.39754   0.125  0.361  1.000  0.144
-        4  0.47162  -0.263  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.692 +- 0.323426
-18.3569 +- 0.280464
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18914.3 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07615e+02   5.00000e+00   0.00000e+00  -3.22775e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   5.18097e+00
-   3  sg_p2        1.14423e+00   5.00000e-01   0.00000e+00  -1.00194e+02
-   4  sg_p3        1.45830e+00   7.00000e-01  -6.22838e-01   5.05414e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=2.83441e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.09835e+02   3.20458e-01   1.18122e-03   1.99716e-02
-   2  sg_p1        1.84026e+01   2.81622e-01   3.04842e-03  -4.57325e-03
-   3  sg_p2        1.46608e+00   5.89939e-02   2.13709e-03  -5.15374e-04
-   4  sg_p3        1.40527e+00   5.47157e-02   1.70241e-03   2.83643e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.027e-01  2.191e-03  4.166e-03 -3.049e-03 
-  2.191e-03  7.935e-02  7.350e-03  5.397e-03 
-  4.166e-03  7.350e-03  3.481e-03  4.765e-04 
- -3.049e-03  5.397e-03  4.765e-04  2.994e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30388   1.000  0.024  0.220 -0.174
-        2  0.52791   0.024  1.000  0.442  0.350
-        3  0.49057   0.220  0.442  1.000  0.148
-        4  0.39639  -0.174  0.350  0.148  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=2.83854e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.09835e+02   3.20577e-01   2.36244e-04   1.94613e-01
-   2  sg_p1        1.84026e+01   2.82160e-01   1.21937e-04   1.20635e-01
-   3  sg_p2        1.46608e+00   5.90852e-02   8.54835e-05  -4.26369e-01
-   4  sg_p3        1.40527e+00   5.47727e-02   6.80964e-05  -6.41619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.028e-01  2.166e-03  4.187e-03 -3.058e-03 
-  2.166e-03  7.965e-02  7.413e-03  5.449e-03 
-  4.187e-03  7.413e-03  3.492e-03  4.840e-04 
- -3.058e-03  5.449e-03  4.840e-04  3.000e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30498   1.000  0.024  0.221 -0.174
-        2  0.53050   0.024  1.000  0.444  0.352
-        3  0.49295   0.221  0.444  1.000  0.150
-        4  0.39859  -0.174  0.352  0.150  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-609.835 +- 0.320577
-18.4026 +- 0.28216
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17827.8 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -3.81579e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -1.00435e+02
-   3  sg_p2        1.28822e+00   5.00000e-01   0.00000e+00   2.73039e+01
-   4  sg_p3        1.80614e+00   7.00000e-01  -5.05175e-01   1.07828e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0886e+00  1.1061e+00  1.8427e+00  2.1398e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.090718 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         194 TOTAL
-                     EDM=0.416197    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07398e+02   2.64955e+00   1.52214e-04  -1.22217e+01
-   2  sg_p1        1.77156e+01   1.07159e+00   3.05183e-03  -2.94405e+00
-   3  sg_p2        1.40875e+00   4.86527e-02   4.22960e-04  -1.06232e+01
-   4  sg_p3        1.34786e+00   1.92678e-01   1.78861e-03   3.70210e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=17796.1 FROM MIGRAD    STATUS=FAILED        231 CALLS         232 TOTAL
-                     EDM=854.994    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07407e+02   1.35903e-01  -0.00000e+00   6.05600e+02
-   2  sg_p1        1.77116e+01   1.50263e-01   0.00000e+00   1.62850e+02
-   3  sg_p2        1.40858e+00   6.28910e-03   0.00000e+00  -1.08286e+01
-   4  sg_p3        1.34715e+00   2.75057e-02   0.00000e+00   3.92805e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.847e-02 -2.028e-02 -7.414e-04 -3.202e-03 
- -2.028e-02  2.258e-02  8.238e-04  3.560e-03 
- -7.414e-04  8.238e-04  3.955e-05  1.478e-04 
- -3.202e-03  3.560e-03  1.478e-04  7.566e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99312   1.000 -0.993 -0.867 -0.856
-        2  0.99342  -0.993  1.000  0.872  0.861
-        3  0.89539  -0.867  0.872  1.000  0.855
-        4  0.88698  -0.856  0.861  0.855  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.1751e+01  9.9679e-01  1.9909e+00  7.2763e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 71.823632 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         259 TOTAL
-                     EDM=0.0450234    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07407e+02   8.84526e-03   4.47722e-05   9.64479e-02
-   2  sg_p1        1.77116e+01   9.83564e-03   1.65224e-04   2.82174e-02
-   3  sg_p2        1.40858e+00   7.59554e-03   2.51140e-05  -4.51783e-01
-   4  sg_p3        1.34715e+00   1.39806e-01   8.90793e-05  -6.62511e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.824e-05  8.666e-05 -3.386e-05  1.235e-03 
-  8.666e-05  9.674e-05 -3.765e-05  1.373e-03 
- -3.386e-05 -3.765e-05  5.769e-05 -5.353e-04 
-  1.235e-03  1.373e-03 -5.353e-04  1.956e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99802   1.000  0.996 -0.504  0.998
-        2  0.99801   0.996  1.000 -0.504  0.998
-        3  0.50444  -0.504 -0.504  1.000 -0.504
-        4  0.99899   0.998  0.998 -0.504  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-607.407 +- 0.00884526
-17.7116 +- 0.00983564
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18313.7 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.10963e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.40680e+01
-   3  sg_p2        1.12814e+00   5.00000e-01   0.00000e+00  -1.98843e+01
-   4  sg_p3        1.45064e+00   7.00000e-01  -6.25537e-01  -1.20812e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM MIGRAD    STATUS=CONVERGED     166 CALLS         167 TOTAL
-                     EDM=7.98313e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08803e+02   3.30506e-01   1.18077e-03  -1.43643e-02
-   2  sg_p1        1.84717e+01   2.89622e-01   3.07900e-03  -7.62757e-02
-   3  sg_p2        1.45856e+00   5.36517e-02   1.98838e-03  -2.33437e-02
-   4  sg_p3        1.38960e+00   6.15342e-02   1.80011e-03   4.41451e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.092e-01 -9.440e-03  2.340e-03 -5.461e-03 
- -9.440e-03  8.392e-02  5.863e-03  7.559e-03 
-  2.340e-03  5.863e-03  2.879e-03  5.057e-04 
- -5.461e-03  7.559e-03  5.057e-04  3.787e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32401   1.000 -0.099  0.132 -0.268
-        2  0.53046  -0.099  1.000  0.377  0.424
-        3  0.41529   0.132  0.377  1.000  0.153
-        4  0.48258  -0.268  0.424  0.153  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM HESSE     STATUS=OK             23 CALLS         190 TOTAL
-                     EDM=8.00182e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08803e+02   3.30636e-01   2.36154e-04   1.52717e-01
-   2  sg_p1        1.84717e+01   2.90111e-01   6.15801e-04   1.29921e-01
-   3  sg_p2        1.45856e+00   5.37098e-02   7.95354e-05  -4.29674e-01
-   4  sg_p3        1.38960e+00   6.16044e-02   3.60021e-04  -6.47219e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.093e-01 -9.548e-03  2.348e-03 -5.481e-03 
- -9.548e-03  8.421e-02  5.909e-03  7.616e-03 
-  2.348e-03  5.909e-03  2.885e-03  5.122e-04 
- -5.481e-03  7.616e-03  5.122e-04  3.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32509   1.000 -0.100  0.132 -0.269
-        2  0.53273  -0.100  1.000  0.379  0.426
-        3  0.41743   0.132  0.379  1.000  0.155
-        4  0.48438  -0.269  0.426  0.155  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.803 +- 0.330636
-18.4717 +- 0.290111
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18711.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.18390e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.18392e+01
-   3  sg_p2        1.20377e+00   5.00000e-01   0.00000e+00   8.44187e+00
-   4  sg_p3        1.54524e+00   7.00000e-01  -5.92581e-01   1.53539e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=3.64592e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08629e+02   3.18788e-01   1.15078e-03  -3.36230e-01
-   2  sg_p1        1.81384e+01   2.76492e-01   2.97751e-03  -6.31530e-02
-   3  sg_p2        1.49686e+00   5.44757e-02   2.06505e-03   2.07196e-02
-   4  sg_p3        1.39306e+00   6.05611e-02   1.78870e-03   1.70313e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.016e-01 -1.019e-02  2.021e-03 -5.340e-03 
- -1.019e-02  7.648e-02  5.389e-03  7.151e-03 
-  2.021e-03  5.389e-03  2.968e-03  4.840e-04 
- -5.340e-03  7.151e-03  4.840e-04  3.668e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32316   1.000 -0.116  0.116 -0.277
-        2  0.52296  -0.116  1.000  0.358  0.427
-        3  0.39289   0.116  0.358  1.000  0.147
-        4  0.48547  -0.277  0.427  0.147  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM HESSE     STATUS=OK             23 CALLS         229 TOTAL
-                     EDM=3.64813e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08629e+02   3.18930e-01   2.30156e-04   1.45672e-01
-   2  sg_p1        1.81384e+01   2.76957e-01   5.95502e-04   8.52226e-02
-   3  sg_p2        1.49686e+00   5.45322e-02   8.26022e-05  -4.12888e-01
-   4  sg_p3        1.39306e+00   6.06332e-02   7.15481e-05  -6.45981e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.017e-01 -1.031e-02  2.029e-03 -5.364e-03 
- -1.031e-02  7.674e-02  5.434e-03  7.205e-03 
-  2.029e-03  5.434e-03  2.974e-03  4.905e-04 
- -5.364e-03  7.205e-03  4.905e-04  3.677e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32439   1.000 -0.117  0.117 -0.277
-        2  0.52528  -0.117  1.000  0.360  0.429
-        3  0.39510   0.117  0.360  1.000  0.148
-        4  0.48733  -0.277  0.429  0.148  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.629 +- 0.31893
-18.1384 +- 0.276957
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17303.3 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -6.79986e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.47913e+01
-   3  sg_p2        1.18392e+00   5.00000e-01   0.00000e+00   1.09112e+01
-   4  sg_p3        1.50179e+00   7.00000e-01  -6.07622e-01  -1.34120e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=1.97081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08678e+02   3.33992e-01   1.16426e-03   9.30660e-02
-   2  sg_p1        1.83420e+01   2.89061e-01   3.02407e-03  -5.38511e-02
-   3  sg_p2        1.48991e+00   5.64139e-02   2.05472e-03  -1.38092e-01
-   4  sg_p3        1.40621e+00   6.35546e-02   1.81513e-03   1.01686e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.116e-01 -9.726e-03  2.331e-03 -5.579e-03 
- -9.726e-03  8.360e-02  5.845e-03  7.576e-03 
-  2.331e-03  5.845e-03  3.183e-03  5.099e-04 
- -5.579e-03  7.576e-03  5.099e-04  4.040e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31288   1.000 -0.101  0.124 -0.263
-        2  0.51335  -0.101  1.000  0.358  0.412
-        3  0.39415   0.124  0.358  1.000  0.142
-        4  0.46956  -0.263  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM HESSE     STATUS=OK             23 CALLS         186 TOTAL
-                     EDM=1.96909e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08678e+02   3.34135e-01   2.32851e-04   1.47652e-01
-   2  sg_p1        1.83420e+01   2.89586e-01   1.20963e-04   1.12504e-01
-   3  sg_p2        1.48991e+00   5.64735e-02   4.10945e-04  -4.15923e-01
-   4  sg_p3        1.40621e+00   6.36376e-02   7.26053e-05  -6.41285e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.117e-01 -9.856e-03  2.338e-03 -5.606e-03 
- -9.856e-03  8.390e-02  5.896e-03  7.643e-03 
-  2.338e-03  5.896e-03  3.190e-03  5.173e-04 
- -5.606e-03  7.643e-03  5.173e-04  4.050e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31411   1.000 -0.102  0.124 -0.264
-        2  0.51594  -0.102  1.000  0.360  0.415
-        3  0.39639   0.124  0.360  1.000  0.144
-        4  0.47171  -0.264  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.678 +- 0.334135
-18.342 +- 0.289586
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19781.5 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.94070e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.71988e+01
-   3  sg_p2        1.17009e+00   5.00000e-01   0.00000e+00  -7.70001e-01
-   4  sg_p3        1.45286e+00   7.00000e-01  -6.24753e-01  -3.36178e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=4.57234e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08706e+02   3.13081e-01   1.16661e-03   7.50814e-02
-   2  sg_p1        1.83713e+01   2.71251e-01   3.02919e-03   4.52649e-02
-   3  sg_p2        1.48521e+00   5.25283e-02   2.04671e-03  -2.57882e-02
-   4  sg_p3        1.40613e+00   5.94897e-02   1.81550e-03   4.82439e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.802e-02 -8.423e-03  2.056e-03 -4.882e-03 
- -8.423e-03  7.361e-02  5.131e-03  6.652e-03 
-  2.056e-03  5.131e-03  2.760e-03  4.464e-04 
- -4.882e-03  6.652e-03  4.464e-04  3.540e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31292   1.000 -0.099  0.125 -0.262
-        2  0.51406  -0.099  1.000  0.360  0.412
-        3  0.39608   0.125  0.360  1.000  0.143
-        4  0.46939  -0.262  0.412  0.143  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=4.58525e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08706e+02   3.13220e-01   2.33322e-04   1.48803e-01
-   2  sg_p1        1.83713e+01   2.71761e-01   1.21167e-04   1.16438e-01
-   3  sg_p2        1.48521e+00   5.25885e-02   8.18685e-05  -4.17982e-01
-   4  sg_p3        1.40613e+00   5.95681e-02   7.26199e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.811e-02 -8.532e-03  2.065e-03 -4.905e-03 
- -8.532e-03  7.389e-02  5.178e-03  6.711e-03 
-  2.065e-03  5.178e-03  2.766e-03  4.531e-04 
- -4.905e-03  6.711e-03  4.531e-04  3.549e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.100  0.125 -0.263
-        2  0.51674  -0.100  1.000  0.362  0.414
-        3  0.39850   0.125  0.362  1.000  0.145
-        4  0.47156  -0.263  0.414  0.145  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.706 +- 0.31322
-18.3713 +- 0.271761
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 608.692 +- 0.323426 (stat) - 1.28478 + 1.14244 (syst); -1.29492/+1.15383 (total)
-   Uncertainty on sg_p1 = 18.3569 +- 0.280464 (stat) - 0.645303 + 0.114761 (syst); -0.660364/+0.181204 (total)
-   Uncertainty on sg_p2 = 1.48767 +- 0.0544911 (stat) - 0.0790904 + 0.00919321 (syst); -0.0836517/+0.0287548 (total)
-   Uncertainty on sg_p3 = 1.40613 +- 0.0615475 (stat) - 0.0589742 + 8.24765e-05 (syst); -0.0665205/+0.0307738 (total)
-   === Baseline plot === </br>
-   norm = 150.798
-JEC     lnN   1.02779  -
-JER     lnN   1.01328  -
-btag    lnN   1.06702  -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
deleted file mode 100644
index 8c77fbb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,6 +0,0 @@
-Running Minos for POI 
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0188248  -0.0188248/+2.84683  (68% CL)
-nll S+B -> -2.15447e-05  nll B -> -1.20822e-05
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
deleted file mode 100644
index 8535cfd..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 10.939809:	q_mu = 3.84804	q_A  = 3.84835	CLsb = 0.02490	CLb  = 0.50003	CLs  = 0.04980
-
- -- Asymptotic -- 
-Observed Limit: r < 10.9398
-Expected  2.5%: r < 5.7087
-Expected 16.0%: r < 7.6984
-Expected 50.0%: r < 10.9062
-Expected 84.0%: r < 15.8187
-Expected 97.5%: r < 22.2555
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt
deleted file mode 100644
index b656fc9..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.4471 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06923    -
-JER       lnN     1.01174   - 
-JEC       lnN     1.021   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02353914841   -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/pdf.log
deleted file mode 100644
index aa6e6c7..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=15.5092 FROM MIGRAD    STATUS=CONVERGED      78 CALLS          79 TOTAL
-                     EDM=7.02832e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.26172e+01   1.73351e+00   2.72316e-03  -7.30163e-05
-   2  Mean         1.00012e+00   3.19011e-03   6.31280e-06   1.69814e-02
-   3  Sigma        2.35391e-02   3.03053e-03   7.58042e-05  -1.28772e-03
-1.00012141421 +/- 0.00319010963973
-0.0235391484052 +/- 0.00303053171895
-PDF lnN 1.02353914841
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/signal650_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/signal650_sig.log
deleted file mode 100644
index f094607..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_crystal_1_550_1200/signal650_sig.log
+++ /dev/null
@@ -1,1006 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11612.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -5.60818e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.83799e+01
-   3  sg_p2        1.51156e+00   5.00000e-01   0.00000e+00   4.45918e-01
-   4  sg_p3        1.65144e+00   7.00000e-01  -5.56433e-01   1.01665e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.07974 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         322 TOTAL
-                     EDM=0.104656    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41163e+02   7.06029e-01   1.74995e-03  -3.76296e-02
-   2  sg_p1        3.38688e+01   5.23325e-01   4.21353e-03   4.07382e-02
-   3  sg_p2        3.61832e+00   1.16199e+00   5.00000e-01  -8.37095e-01
-   4  sg_p3        2.97717e+00   1.74320e+00   3.82781e-02  -1.08231e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11585.6 FROM MIGRAD    STATUS=CONVERGED     333 CALLS         334 TOTAL
-                     EDM=3.51417e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41164e+02   7.06029e-01   2.17492e-05  -2.69889e-03
-   2  sg_p1        3.38675e+01   5.23355e-01  -1.32565e-04   1.94685e-03
-   3  sg_p2        4.13673e+00   9.85565e-01   2.50000e-01  -6.51974e-03
-   4  sg_p3        2.98762e+00   1.74432e+00   3.01848e-03  -1.43731e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.029e-03  1.165e-04  1.304e-03 
- -5.029e-03  2.742e-01 -1.478e-04 -1.655e-03 
-  1.165e-04 -1.478e-04  1.075e+00  3.155e-02 
-  1.304e-03 -1.655e-03  3.155e-02  3.342e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01364   1.000 -0.014  0.000  0.001
-        2  0.01371  -0.014  1.000 -0.000 -0.002
-        3  0.01665   0.000 -0.000  1.000  0.017
-        4  0.01677   0.001 -0.002  0.017  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         361 TOTAL
-                     EDM=0.00163365    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.41164e+02   7.06040e-01   1.75058e-03   3.88127e-02
-   2  sg_p1        3.38675e+01   5.23398e-01   1.68541e-03   3.97108e-01
-   3  sg_p2        4.13673e+00   2.58234e+00   5.00000e-01   7.13776e-01
-   4  sg_p3        2.98762e+00   2.30843e+00   1.53112e-02  -1.46921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.100e-03  8.651e-11  1.748e-04 
- -5.100e-03  2.742e-01 -4.651e-09 -1.792e-06 
-  8.651e-11 -4.651e-09  1.369e+02  3.040e-14 
-  1.748e-04 -1.792e-06  3.040e-14  6.385e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01379   1.000 -0.014  0.000  0.000
-        2  0.01379  -0.014  1.000 -0.000 -0.000
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.00010   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-641.164 +- 0.70604
-33.8675 +- 0.523398
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11904.9 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -1.02677e+02
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.17543e+01
-   3  sg_p2        1.12614e+00   5.00000e-01  -5.81819e-01   2.25140e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.65465e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11868.8 FROM HESSE     STATUS=OK             23 CALLS         155 TOTAL
-                     EDM=1.60817    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44838e+02   7.48080e-01   1.83180e-03   5.58516e+00
-   2  sg_p1        3.44259e+01   5.95973e-01   5.44743e-03  -4.45013e+00
-   3  sg_p2        2.01408e+00   1.75526e-01   9.79574e-03  -1.65119e+01
-   4  sg_p3        3.37744e+00   1.00364e+00   5.00000e-01   3.60429e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   6.16255e-03
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03  -9.30316e-04
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02  -2.32163e-02
-   4  sg_p3        5.67282e+00   1.35691e+00  -0.00000e+00   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM HESSE     STATUS=FAILED          9 CALLS         289 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   1.61714e-01
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03   4.84601e-01
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02   2.38245e-01
-   4  sg_p3        6.72231e+00   1.35691e+00  -0.00000e+00   2.47182e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-644.83 +- 0.716643
-34.6586 +- 0.534936
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11362.2 FROM MIGRAD    STATUS=INITIATE      104 CALLS         105 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00   7.10893e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -1.05256e+02
-   3  sg_p2        1.85778e+00   5.00000e-01   0.00000e+00   7.21734e-01
-   4  sg_p3        1.67742e+00   7.00000e-01  -5.47714e-01   2.76085e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=7.99199e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.38708e+02   7.08102e-01   1.73490e-03   8.50047e-02
-   2  sg_p1        3.35052e+01   5.28951e-01   4.14123e-03  -3.90699e-02
-   3  sg_p2        2.94947e+00   9.95349e-01   2.87844e-02   1.61687e-02
-   4  sg_p3        2.32505e+00   3.50639e-01   7.88914e-03   4.91799e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.015e-01 -1.242e-02  4.478e-03 -8.703e-03 
- -1.242e-02  2.801e-01  6.824e-03  9.967e-03 
-  4.478e-03  6.824e-03  1.050e+00  2.470e-04 
- -8.703e-03  9.967e-03  2.470e-04  1.234e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.04741   1.000 -0.033  0.006 -0.035
-        2  0.06336  -0.033  1.000  0.013  0.054
-        3  0.01421   0.006  0.013  1.000  0.001
-        4  0.06307  -0.035  0.054  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM HESSE     STATUS=OK             27 CALLS         256 TOTAL
-                     EDM=9.40062e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.38708e+02   7.08265e-01   3.46979e-04  -4.30894e-02
-   2  sg_p1        3.35052e+01   5.29379e-01   1.65649e-04   3.58121e-01
-   3  sg_p2        2.94947e+00   1.13847e+00   1.17440e-01   1.80769e-01
-   4  sg_p3        2.32505e+00   3.50890e-01   3.15565e-04  -3.42349e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.017e-01 -1.287e-02  1.066e-02 -9.624e-03 
- -1.287e-02  2.805e-01  1.877e-02  1.130e-02 
-  1.066e-02  1.877e-02  1.401e+00  6.030e-04 
- -9.624e-03  1.130e-02  6.030e-04  1.236e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05204   1.000 -0.034  0.013 -0.039
-        2  0.07498  -0.034  1.000  0.030  0.061
-        3  0.03295   0.013  0.030  1.000  0.001
-        4  0.07086  -0.039  0.061  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-638.708 +- 0.708265
-33.5052 +- 0.529379
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10721.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.43808e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.21270e+01
-   3  sg_p2        7.95726e-01   5.00000e-01   0.00000e+00  -2.45454e+02
-   4  sg_p3        1.33597e+00   7.00000e-01  -6.66570e-01   4.99104e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM MIGRAD    STATUS=CONVERGED     213 CALLS         214 TOTAL
-                     EDM=1.33202e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61215e+02   1.25169e+00   1.34687e-03   3.04499e-03
-   2  sg_p1        1.89981e+01   1.55542e+00   3.49164e-03   1.91712e-04
-   3  sg_p2        1.45525e+00   1.90355e-01   2.29593e-03  -6.77581e-03
-   4  sg_p3        1.13503e+00   2.26730e-01   1.46146e-03   4.83701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.568e+00 -1.781e+00 -1.994e-01 -2.643e-01 
- -1.781e+00  2.456e+00  2.755e-01  3.428e-01 
- -1.994e-01  2.755e-01  3.632e-02  3.869e-02 
- -2.643e-01  3.428e-01  3.869e-02  5.154e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.93090   1.000 -0.907 -0.835 -0.930
-        2  0.97333  -0.907  1.000  0.922  0.963
-        3  0.92278  -0.835  0.922  1.000  0.894
-        4  0.97249  -0.930  0.963  0.894  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM HESSE     STATUS=OK             23 CALLS         237 TOTAL
-                     EDM=4.47094e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61215e+02   7.20486e-01   5.38748e-05   2.51223e-01
-   2  sg_p1        1.89981e+01   8.37759e-01   1.39666e-04   2.01106e-01
-   3  sg_p2        1.45525e+00   1.05708e-01   9.18371e-05  -4.31134e-01
-   4  sg_p3        1.13503e+00   1.24010e-01   5.84582e-05  -7.41920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.193e-01 -3.889e-01 -2.078e-02 -6.678e-02 
- -3.889e-01  7.049e-01  6.093e-02  9.065e-02 
- -2.078e-02  6.093e-02  1.118e-02  7.399e-03 
- -6.678e-02  9.065e-02  7.399e-03  1.539e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77269   1.000 -0.643 -0.273 -0.747
-        2  0.90365  -0.643  1.000  0.686  0.870
-        3  0.72233  -0.273  0.686  1.000  0.564
-        4  0.90460  -0.747  0.870  0.564  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.215 +- 0.720486
-18.9981 +- 0.837759
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10990.4 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -5.27265e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -9.02997e+01
-   3  sg_p2        9.67628e-01   5.00000e-01   0.00000e+00   1.90034e+02
-   4  sg_p3        1.53208e+00   7.00000e-01  -5.97119e-01   9.04631e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM MIGRAD    STATUS=CONVERGED     170 CALLS         171 TOTAL
-                     EDM=0.000119297    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.62487e+02   5.44568e-01   1.37103e-03   3.37887e-01
-   2  sg_p1        1.91861e+01   6.48831e-01   3.54018e-03   5.42529e-02
-   3  sg_p2        1.42329e+00   1.09535e-01   2.32356e-03  -1.51053e-01
-   4  sg_p3        1.14846e+00   8.06823e-02   1.37891e-03  -1.67722e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.966e-01 -7.261e-02  6.903e-03 -1.862e-02 
- -7.261e-02  4.221e-01  4.896e-02  3.840e-02 
-  6.903e-03  4.896e-02  1.201e-02  4.066e-03 
- -1.862e-02  3.840e-02  4.066e-03  6.512e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55262   1.000 -0.205  0.116 -0.424
-        2  0.83317  -0.205  1.000  0.688  0.732
-        3  0.73763   0.116  0.688  1.000  0.460
-        4  0.78506  -0.424  0.732  0.460  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM HESSE     STATUS=OK             23 CALLS         194 TOTAL
-                     EDM=0.000109915    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.62487e+02   5.36215e-01   2.74206e-04   3.04165e-01
-   2  sg_p1        1.91861e+01   6.18928e-01   7.08036e-04   2.26745e-01
-   3  sg_p2        1.42329e+00   1.07941e-01   4.64712e-04  -4.45250e-01
-   4  sg_p3        1.14846e+00   7.57926e-02   5.51562e-05  -7.36728e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.876e-01 -5.330e-02  8.935e-03 -1.590e-02 
- -5.330e-02  3.840e-01  4.525e-02  3.283e-02 
-  8.935e-03  4.525e-02  1.166e-02  3.512e-03 
- -1.590e-02  3.283e-02  3.512e-03  5.746e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53288   1.000 -0.160  0.154 -0.391
-        2  0.81480  -0.160  1.000  0.676  0.699
-        3  0.72837   0.154  0.676  1.000  0.429
-        4  0.75539  -0.391  0.699  0.429  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-662.487 +- 0.536215
-19.1861 +- 0.618928
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10453.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.71248e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.97336e+01
-   3  sg_p2        1.05577e+00   5.00000e-01   0.00000e+00   6.59080e+01
-   4  sg_p3        1.28275e+00   7.00000e-01  -6.86067e-01   1.15714e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1 added to diagonal of error matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00026 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0624e+00  1.0038e+00  2.0034e+00  2.0551e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.064428 TO DIAGONAL.
- FCN=10417.7 FROM HESSE     STATUS=NOT POSDEF     31 CALLS         501 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01   1.00195e-04  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00   3.48397e-03  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02   1.91254e-04   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02   8.43062e-05  -1.60765e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10417.7 FROM MIGRAD    STATUS=FAILED        511 CALLS         512 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01  -0.00000e+00  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00  -0.00000e+00  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02  -0.00000e+00   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02  -0.00000e+00  -1.60765e+03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.806e-02  1.899e-01  3.204e-03  1.613e-03 
-  1.899e-01  2.061e+00  3.377e-02  1.698e-02 
-  3.204e-03  3.377e-02  5.709e-04  2.868e-04 
-  1.613e-03  1.698e-02  2.868e-04  1.447e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000  0.984  0.998  0.998
-        2  0.98497   0.984  1.000  0.984  0.983
-        3  0.99849   0.998  0.984  1.000  0.998
-        4  0.99838   0.998  0.983  0.998  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10417.7 FROM HESSE     STATUS=OK             53 CALLS         565 TOTAL
-                     EDM=36.107    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.59286e+02   4.94375e-01   4.11775e-02   1.72285e-01
-   2  sg_p1        1.95932e+01   4.96180e-01   1.39359e-04   2.82846e-01
-   3  sg_p2        1.48285e+00   9.77917e-02   7.54293e-02  -4.19013e-01
-   4  sg_p3        1.30319e+00   7.96802e-02   5.20393e-02  -6.78543e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.444e-01  2.547e-03  1.237e-02 -9.665e-03 
-  2.547e-03  2.466e-01  2.750e-02  2.146e-02 
-  1.237e-02  2.750e-02  9.569e-03  2.078e-03 
- -9.665e-03  2.146e-02  2.078e-03  6.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41374   1.000  0.010  0.256 -0.245
-        2  0.69659   0.010  1.000  0.566  0.542
-        3  0.61938   0.256  0.566  1.000  0.267
-        4  0.59812  -0.245  0.542  0.267  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-659.286 +- 0.494375
-19.5932 +- 0.49618
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10619.9 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.21165e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.34414e+00
-   3  sg_p2        9.15926e-01   5.00000e-01   0.00000e+00   4.72583e+01
-   4  sg_p3        1.18271e+00   7.00000e-01  -7.23594e-01  -8.98084e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=7.5268e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61397e+02   5.44897e-01   1.34246e-03   4.14273e-01
-   2  sg_p1        1.90727e+01   5.64070e-01   3.46865e-03  -1.30068e-03
-   3  sg_p2        1.41469e+00   8.73074e-02   2.15873e-03   1.72287e-02
-   4  sg_p3        1.12865e+00   7.39900e-02   1.34213e-03   2.26005e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.970e-01 -9.007e-02  2.908e-03 -1.929e-02 
- -9.007e-02  3.188e-01  2.788e-02  2.852e-02 
-  2.908e-03  2.788e-02  7.626e-03  2.278e-03 
- -1.929e-02  2.852e-02  2.278e-03  5.476e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54360   1.000 -0.293  0.061 -0.478
-        2  0.76817  -0.293  1.000  0.566  0.683
-        3  0.61547   0.061  0.566  1.000  0.353
-        4  0.74345  -0.478  0.683  0.353  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM HESSE     STATUS=OK             23 CALLS         205 TOTAL
-                     EDM=7.54443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61397e+02   5.45454e-01   2.68492e-04   2.58749e-01
-   2  sg_p1        1.90727e+01   5.66991e-01   1.38746e-04   2.11267e-01
-   3  sg_p2        1.41469e+00   8.76116e-02   8.63490e-05  -4.49065e-01
-   4  sg_p3        1.12865e+00   7.42730e-02   2.68425e-04  -7.44396e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.976e-01 -9.125e-02  2.820e-03 -1.942e-02 
- -9.125e-02  3.221e-01  2.831e-02  2.890e-02 
-  2.820e-03  2.831e-02  7.680e-03  2.324e-03 
- -1.942e-02  2.890e-02  2.324e-03  5.518e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54492   1.000 -0.295  0.059 -0.479
-        2  0.77092  -0.295  1.000  0.569  0.685
-        3  0.61896   0.059  0.569  1.000  0.357
-        4  0.74573  -0.479  0.685  0.357  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.397 +- 0.545454
-19.0727 +- 0.566991
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10830.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.44740e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -4.26729e+01
-   3  sg_p2        1.00225e+00   5.00000e-01   0.00000e+00   7.37985e+01
-   4  sg_p3        1.39341e+00   7.00000e-01  -6.45856e-01   4.14284e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=5.54438e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61183e+02   5.58601e-01   1.30703e-03   7.27339e-02
-   2  sg_p1        1.87556e+01   6.26067e-01   3.36619e-03   1.16170e-01
-   3  sg_p2        1.45666e+00   9.85527e-02   2.30722e-03  -2.01954e-01
-   4  sg_p3        1.14103e+00   8.65798e-02   1.35416e-03  -1.57200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.121e-01 -1.357e-01 -1.260e-03 -2.677e-02 
- -1.357e-01  3.929e-01  3.854e-02  4.159e-02 
- -1.260e-03  3.854e-02  9.719e-03  3.757e-03 
- -2.677e-02  4.159e-02  3.757e-03  7.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.61009   1.000 -0.388 -0.023 -0.553
-        2  0.83171  -0.388  1.000  0.624  0.766
-        3  0.66919  -0.023  0.624  1.000  0.440
-        4  0.81600  -0.553  0.766  0.440  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM HESSE     STATUS=OK             23 CALLS         182 TOTAL
-                     EDM=5.46307e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61183e+02   5.24911e-01   5.22814e-05   2.49922e-01
-   2  sg_p1        1.87556e+01   5.52841e-01   6.73237e-04   1.68209e-01
-   3  sg_p2        1.45666e+00   9.52773e-02   4.61444e-04  -4.30514e-01
-   4  sg_p3        1.14103e+00   7.38096e-02   5.41663e-05  -7.39598e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -7.938e-02  3.701e-03 -1.800e-02 
- -7.938e-02  3.062e-01  3.107e-02  2.800e-02 
-  3.701e-03  3.107e-02  9.083e-03  2.581e-03 
- -1.800e-02  2.800e-02  2.581e-03  5.449e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53953   1.000 -0.273  0.074 -0.465
-        2  0.77793  -0.273  1.000  0.589  0.686
-        3  0.63966   0.074  0.589  1.000  0.367
-        4  0.74489  -0.465  0.686  0.367  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.183 +- 0.524911
-18.7556 +- 0.552841
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9992.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.62893e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -5.90807e+01
-   3  sg_p2        9.83939e-01   5.00000e-01   0.00000e+00   6.33616e+01
-   4  sg_p3        1.46565e+00   7.00000e-01  -6.20255e-01   8.16516e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM MIGRAD    STATUS=CONVERGED     169 CALLS         170 TOTAL
-                     EDM=0.000159227    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61178e+02   7.39572e-01   1.34451e-03  -1.70686e-01
-   2  sg_p1        1.89964e+01   8.67158e-01   3.47868e-03   7.20693e-02
-   3  sg_p2        1.45598e+00   1.10743e-01   2.29383e-03  -2.60727e-02
-   4  sg_p3        1.13815e+00   1.28466e-01   1.46277e-03  -4.42263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.471e-01 -4.069e-01 -2.161e-02 -7.041e-02 
- -4.069e-01  7.555e-01  6.659e-02  9.706e-02 
- -2.161e-02  6.659e-02  1.227e-02  8.055e-03 
- -7.041e-02  9.706e-02  8.055e-03  1.652e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.76850   1.000 -0.633 -0.264 -0.741
-        2  0.90376  -0.633  1.000  0.692  0.869
-        3  0.72860  -0.264  0.692  1.000  0.566
-        4  0.90364  -0.741  0.869  0.566  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM HESSE     STATUS=OK             23 CALLS         193 TOTAL
-                     EDM=0.000158903    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61178e+02   7.43466e-01   2.68901e-04   2.49690e-01
-   2  sg_p1        1.89964e+01   8.64124e-01   6.95735e-04   2.00873e-01
-   3  sg_p2        1.45598e+00   1.09398e-01   9.17533e-05  -4.30811e-01
-   4  sg_p3        1.13815e+00   1.28692e-01   2.92554e-04  -7.40712e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.529e-01 -4.125e-01 -2.195e-02 -7.136e-02 
- -4.125e-01  7.502e-01  6.495e-02  9.696e-02 
- -2.195e-02  6.495e-02  1.198e-02  7.923e-03 
- -7.136e-02  9.696e-02  7.923e-03  1.658e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77128   1.000 -0.641 -0.270 -0.745
-        2  0.90304  -0.641  1.000  0.685  0.870
-        3  0.72136  -0.270  0.685  1.000  0.562
-        4  0.90400  -0.745  0.870  0.562  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.178 +- 0.743466
-18.9964 +- 0.864124
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11483.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.74697e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.72491e+01
-   3  sg_p2        7.99758e-01   5.00000e-01   0.00000e+00  -2.45884e+02
-   4  sg_p3        1.30853e+00   7.00000e-01  -6.76585e-01   3.62491e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11413.9 FROM HESSE     STATUS=OK             31 CALLS         214 TOTAL
-                     EDM=0.000179347    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61256e+02   8.07788e-01   1.02475e-03   4.77630e-01
-   2  sg_p1        1.89964e+01   1.08091e+00   3.49772e-03   1.37583e-01
-   3  sg_p2        1.45364e+00   1.98903e-01   2.28196e-03  -3.12364e-01
-   4  sg_p3        1.13104e+00   1.04915e-01   1.45795e-03   2.20302e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11413.9 FROM MIGRAD    STATUS=CONVERGED     223 CALLS         224 TOTAL
-                     EDM=4.35241e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61254e+02   3.21033e-01  -6.85513e-05   2.09409e-01
-   2  sg_p1        1.89941e+01   4.43174e-01  -3.15216e-04   9.14503e-02
-   3  sg_p2        1.45327e+00   7.44907e-02  -1.59636e-04  -3.27444e-01
-   4  sg_p3        1.13082e+00   4.34031e-02  -8.50837e-05   8.12827e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.031e-01  3.647e-02  1.175e-02  3.896e-03 
-  3.647e-02  1.966e-01  1.850e-02  1.029e-02 
-  1.175e-02  1.850e-02  5.551e-03  1.469e-03 
-  3.896e-03  1.029e-02  1.469e-03  1.884e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49775   1.000  0.256  0.491  0.280
-        2  0.64400   0.256  1.000  0.560  0.535
-        3  0.67669   0.491  0.560  1.000  0.454
-        4  0.57117   0.280  0.535  0.454  1.000
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.6515e+00  2.2931e-01  1.6841e+00  6.7381e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 4.658200 TO DIAGONAL.
- FCN=11413.9 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         249 TOTAL
-                     EDM=0.0178461    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61254e+02   3.25109e+00   4.09899e-04   2.52855e-01
-   2  sg_p1        1.89941e+01   1.45159e+00   1.39909e-03   2.00554e-01
-   3  sg_p2        1.45327e+00   6.02184e-01   9.12783e-04  -4.32003e-01
-   4  sg_p3        1.13082e+00   2.35099e-02   5.83181e-04  -7.43554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.063e+01  4.733e+00 -1.984e+00 -3.774e-02 
-  4.733e+00  2.135e+00 -8.861e-01 -1.641e-02 
- -1.984e+00 -8.861e-01  3.715e-01  7.009e-03 
- -3.774e-02 -1.641e-02  7.009e-03  5.527e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99842   1.000  0.993 -0.998 -0.492
-        2  0.99509   0.993  1.000 -0.995 -0.478
-        3  0.99882  -0.998 -0.995  1.000  0.489
-        4  0.50219  -0.492 -0.478  0.489  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.254 +- 3.25109
-18.9941 +- 1.45159
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 661.215 +- 0.720486 (stat) - 1.92885 + 1.27271 (syst); -1.96221/+1.32271 (total)
-   Uncertainty on sg_p1 = 18.9981 +- 0.837759 (stat) - 0.242524 + 0.595022 (syst); -0.484023/+0.727675 (total)
-   Uncertainty on sg_p2 = 1.45525 +- 0.105708 (stat) - 0.0405567 + 0.0276059 (syst); -0.0666212/+0.0596291 (total)
-   Uncertainty on sg_p3 = 1.13503 +- 0.12401 (stat) - 0.00638242 + 0.168157 (syst); -0.0623326/+0.179225 (total)
-   === Baseline plot === </br>
-   norm = 172.355
-JEC     lnN   1.021  -
-JER     lnN   1.01174  -
-btag    lnN   1.06923  -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
deleted file mode 100644
index 7328924..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 1.49024e-06  -1.49024e-06/+3  (68% CL)
-nll S+B -> -0.000957607  nll B -> -0.000957591
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
deleted file mode 100644
index ce288c4..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 11.080990:	q_mu = 3.85094	q_A  = 3.84432	CLsb = 0.02486	CLb  = 0.49933	CLs  = 0.04979
-
- -- Asymptotic -- 
-Observed Limit: r < 11.0810
-Expected  2.5%: r < 5.7852
-Expected 16.0%: r < 7.7967
-Expected 50.0%: r < 11.0938
-Expected 84.0%: r < 16.0022
-Expected 97.5%: r < 22.4440
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
deleted file mode 100644
index bde6670..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.4471 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06923    -
-JER       lnN     1.01174   - 
-JEC       lnN     1.021   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02353914841   -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/pdf.log
deleted file mode 100644
index aa6e6c7..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=15.5092 FROM MIGRAD    STATUS=CONVERGED      78 CALLS          79 TOTAL
-                     EDM=7.02832e-09    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.26172e+01   1.73351e+00   2.72316e-03  -7.30163e-05
-   2  Mean         1.00012e+00   3.19011e-03   6.31280e-06   1.69814e-02
-   3  Sigma        2.35391e-02   3.03053e-03   7.58042e-05  -1.28772e-03
-1.00012141421 +/- 0.00319010963973
-0.0235391484052 +/- 0.00303053171895
-PDF lnN 1.02353914841
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/signal650_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/signal650_sig.log
deleted file mode 100644
index f094607..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_650_novo_550_1200/signal650_sig.log
+++ /dev/null
@@ -1,1006 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11612.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -5.60818e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.83799e+01
-   3  sg_p2        1.51156e+00   5.00000e-01   0.00000e+00   4.45918e-01
-   4  sg_p3        1.65144e+00   7.00000e-01  -5.56433e-01   1.01665e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.07974 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         322 TOTAL
-                     EDM=0.104656    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41163e+02   7.06029e-01   1.74995e-03  -3.76296e-02
-   2  sg_p1        3.38688e+01   5.23325e-01   4.21353e-03   4.07382e-02
-   3  sg_p2        3.61832e+00   1.16199e+00   5.00000e-01  -8.37095e-01
-   4  sg_p3        2.97717e+00   1.74320e+00   3.82781e-02  -1.08231e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11585.6 FROM MIGRAD    STATUS=CONVERGED     333 CALLS         334 TOTAL
-                     EDM=3.51417e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41164e+02   7.06029e-01   2.17492e-05  -2.69889e-03
-   2  sg_p1        3.38675e+01   5.23355e-01  -1.32565e-04   1.94685e-03
-   3  sg_p2        4.13673e+00   9.85565e-01   2.50000e-01  -6.51974e-03
-   4  sg_p3        2.98762e+00   1.74432e+00   3.01848e-03  -1.43731e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.029e-03  1.165e-04  1.304e-03 
- -5.029e-03  2.742e-01 -1.478e-04 -1.655e-03 
-  1.165e-04 -1.478e-04  1.075e+00  3.155e-02 
-  1.304e-03 -1.655e-03  3.155e-02  3.342e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01364   1.000 -0.014  0.000  0.001
-        2  0.01371  -0.014  1.000 -0.000 -0.002
-        3  0.01665   0.000 -0.000  1.000  0.017
-        4  0.01677   0.001 -0.002  0.017  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         361 TOTAL
-                     EDM=0.00163365    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.41164e+02   7.06040e-01   1.75058e-03   3.88127e-02
-   2  sg_p1        3.38675e+01   5.23398e-01   1.68541e-03   3.97108e-01
-   3  sg_p2        4.13673e+00   2.58234e+00   5.00000e-01   7.13776e-01
-   4  sg_p3        2.98762e+00   2.30843e+00   1.53112e-02  -1.46921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.100e-03  8.651e-11  1.748e-04 
- -5.100e-03  2.742e-01 -4.651e-09 -1.792e-06 
-  8.651e-11 -4.651e-09  1.369e+02  3.040e-14 
-  1.748e-04 -1.792e-06  3.040e-14  6.385e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01379   1.000 -0.014  0.000  0.000
-        2  0.01379  -0.014  1.000 -0.000 -0.000
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.00010   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-641.164 +- 0.70604
-33.8675 +- 0.523398
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11904.9 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -1.02677e+02
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.17543e+01
-   3  sg_p2        1.12614e+00   5.00000e-01  -5.81819e-01   2.25140e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.65465e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11868.8 FROM HESSE     STATUS=OK             23 CALLS         155 TOTAL
-                     EDM=1.60817    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44838e+02   7.48080e-01   1.83180e-03   5.58516e+00
-   2  sg_p1        3.44259e+01   5.95973e-01   5.44743e-03  -4.45013e+00
-   3  sg_p2        2.01408e+00   1.75526e-01   9.79574e-03  -1.65119e+01
-   4  sg_p3        3.37744e+00   1.00364e+00   5.00000e-01   3.60429e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   6.16255e-03
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03  -9.30316e-04
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02  -2.32163e-02
-   4  sg_p3        5.67282e+00   1.35691e+00  -0.00000e+00   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM HESSE     STATUS=FAILED          9 CALLS         289 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   1.61714e-01
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03   4.84601e-01
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02   2.38245e-01
-   4  sg_p3        6.72231e+00   1.35691e+00  -0.00000e+00   2.47182e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-644.83 +- 0.716643
-34.6586 +- 0.534936
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11362.2 FROM MIGRAD    STATUS=INITIATE      104 CALLS         105 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00   7.10893e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -1.05256e+02
-   3  sg_p2        1.85778e+00   5.00000e-01   0.00000e+00   7.21734e-01
-   4  sg_p3        1.67742e+00   7.00000e-01  -5.47714e-01   2.76085e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=7.99199e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.38708e+02   7.08102e-01   1.73490e-03   8.50047e-02
-   2  sg_p1        3.35052e+01   5.28951e-01   4.14123e-03  -3.90699e-02
-   3  sg_p2        2.94947e+00   9.95349e-01   2.87844e-02   1.61687e-02
-   4  sg_p3        2.32505e+00   3.50639e-01   7.88914e-03   4.91799e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.015e-01 -1.242e-02  4.478e-03 -8.703e-03 
- -1.242e-02  2.801e-01  6.824e-03  9.967e-03 
-  4.478e-03  6.824e-03  1.050e+00  2.470e-04 
- -8.703e-03  9.967e-03  2.470e-04  1.234e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.04741   1.000 -0.033  0.006 -0.035
-        2  0.06336  -0.033  1.000  0.013  0.054
-        3  0.01421   0.006  0.013  1.000  0.001
-        4  0.06307  -0.035  0.054  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM HESSE     STATUS=OK             27 CALLS         256 TOTAL
-                     EDM=9.40062e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.38708e+02   7.08265e-01   3.46979e-04  -4.30894e-02
-   2  sg_p1        3.35052e+01   5.29379e-01   1.65649e-04   3.58121e-01
-   3  sg_p2        2.94947e+00   1.13847e+00   1.17440e-01   1.80769e-01
-   4  sg_p3        2.32505e+00   3.50890e-01   3.15565e-04  -3.42349e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.017e-01 -1.287e-02  1.066e-02 -9.624e-03 
- -1.287e-02  2.805e-01  1.877e-02  1.130e-02 
-  1.066e-02  1.877e-02  1.401e+00  6.030e-04 
- -9.624e-03  1.130e-02  6.030e-04  1.236e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05204   1.000 -0.034  0.013 -0.039
-        2  0.07498  -0.034  1.000  0.030  0.061
-        3  0.03295   0.013  0.030  1.000  0.001
-        4  0.07086  -0.039  0.061  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-638.708 +- 0.708265
-33.5052 +- 0.529379
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10721.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.43808e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.21270e+01
-   3  sg_p2        7.95726e-01   5.00000e-01   0.00000e+00  -2.45454e+02
-   4  sg_p3        1.33597e+00   7.00000e-01  -6.66570e-01   4.99104e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM MIGRAD    STATUS=CONVERGED     213 CALLS         214 TOTAL
-                     EDM=1.33202e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61215e+02   1.25169e+00   1.34687e-03   3.04499e-03
-   2  sg_p1        1.89981e+01   1.55542e+00   3.49164e-03   1.91712e-04
-   3  sg_p2        1.45525e+00   1.90355e-01   2.29593e-03  -6.77581e-03
-   4  sg_p3        1.13503e+00   2.26730e-01   1.46146e-03   4.83701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.568e+00 -1.781e+00 -1.994e-01 -2.643e-01 
- -1.781e+00  2.456e+00  2.755e-01  3.428e-01 
- -1.994e-01  2.755e-01  3.632e-02  3.869e-02 
- -2.643e-01  3.428e-01  3.869e-02  5.154e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.93090   1.000 -0.907 -0.835 -0.930
-        2  0.97333  -0.907  1.000  0.922  0.963
-        3  0.92278  -0.835  0.922  1.000  0.894
-        4  0.97249  -0.930  0.963  0.894  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM HESSE     STATUS=OK             23 CALLS         237 TOTAL
-                     EDM=4.47094e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61215e+02   7.20486e-01   5.38748e-05   2.51223e-01
-   2  sg_p1        1.89981e+01   8.37759e-01   1.39666e-04   2.01106e-01
-   3  sg_p2        1.45525e+00   1.05708e-01   9.18371e-05  -4.31134e-01
-   4  sg_p3        1.13503e+00   1.24010e-01   5.84582e-05  -7.41920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.193e-01 -3.889e-01 -2.078e-02 -6.678e-02 
- -3.889e-01  7.049e-01  6.093e-02  9.065e-02 
- -2.078e-02  6.093e-02  1.118e-02  7.399e-03 
- -6.678e-02  9.065e-02  7.399e-03  1.539e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77269   1.000 -0.643 -0.273 -0.747
-        2  0.90365  -0.643  1.000  0.686  0.870
-        3  0.72233  -0.273  0.686  1.000  0.564
-        4  0.90460  -0.747  0.870  0.564  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.215 +- 0.720486
-18.9981 +- 0.837759
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10990.4 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -5.27265e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -9.02997e+01
-   3  sg_p2        9.67628e-01   5.00000e-01   0.00000e+00   1.90034e+02
-   4  sg_p3        1.53208e+00   7.00000e-01  -5.97119e-01   9.04631e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM MIGRAD    STATUS=CONVERGED     170 CALLS         171 TOTAL
-                     EDM=0.000119297    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.62487e+02   5.44568e-01   1.37103e-03   3.37887e-01
-   2  sg_p1        1.91861e+01   6.48831e-01   3.54018e-03   5.42529e-02
-   3  sg_p2        1.42329e+00   1.09535e-01   2.32356e-03  -1.51053e-01
-   4  sg_p3        1.14846e+00   8.06823e-02   1.37891e-03  -1.67722e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.966e-01 -7.261e-02  6.903e-03 -1.862e-02 
- -7.261e-02  4.221e-01  4.896e-02  3.840e-02 
-  6.903e-03  4.896e-02  1.201e-02  4.066e-03 
- -1.862e-02  3.840e-02  4.066e-03  6.512e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55262   1.000 -0.205  0.116 -0.424
-        2  0.83317  -0.205  1.000  0.688  0.732
-        3  0.73763   0.116  0.688  1.000  0.460
-        4  0.78506  -0.424  0.732  0.460  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM HESSE     STATUS=OK             23 CALLS         194 TOTAL
-                     EDM=0.000109915    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.62487e+02   5.36215e-01   2.74206e-04   3.04165e-01
-   2  sg_p1        1.91861e+01   6.18928e-01   7.08036e-04   2.26745e-01
-   3  sg_p2        1.42329e+00   1.07941e-01   4.64712e-04  -4.45250e-01
-   4  sg_p3        1.14846e+00   7.57926e-02   5.51562e-05  -7.36728e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.876e-01 -5.330e-02  8.935e-03 -1.590e-02 
- -5.330e-02  3.840e-01  4.525e-02  3.283e-02 
-  8.935e-03  4.525e-02  1.166e-02  3.512e-03 
- -1.590e-02  3.283e-02  3.512e-03  5.746e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53288   1.000 -0.160  0.154 -0.391
-        2  0.81480  -0.160  1.000  0.676  0.699
-        3  0.72837   0.154  0.676  1.000  0.429
-        4  0.75539  -0.391  0.699  0.429  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-662.487 +- 0.536215
-19.1861 +- 0.618928
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10453.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.71248e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.97336e+01
-   3  sg_p2        1.05577e+00   5.00000e-01   0.00000e+00   6.59080e+01
-   4  sg_p3        1.28275e+00   7.00000e-01  -6.86067e-01   1.15714e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1 added to diagonal of error matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00026 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0624e+00  1.0038e+00  2.0034e+00  2.0551e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.064428 TO DIAGONAL.
- FCN=10417.7 FROM HESSE     STATUS=NOT POSDEF     31 CALLS         501 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01   1.00195e-04  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00   3.48397e-03  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02   1.91254e-04   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02   8.43062e-05  -1.60765e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10417.7 FROM MIGRAD    STATUS=FAILED        511 CALLS         512 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01  -0.00000e+00  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00  -0.00000e+00  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02  -0.00000e+00   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02  -0.00000e+00  -1.60765e+03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.806e-02  1.899e-01  3.204e-03  1.613e-03 
-  1.899e-01  2.061e+00  3.377e-02  1.698e-02 
-  3.204e-03  3.377e-02  5.709e-04  2.868e-04 
-  1.613e-03  1.698e-02  2.868e-04  1.447e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000  0.984  0.998  0.998
-        2  0.98497   0.984  1.000  0.984  0.983
-        3  0.99849   0.998  0.984  1.000  0.998
-        4  0.99838   0.998  0.983  0.998  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10417.7 FROM HESSE     STATUS=OK             53 CALLS         565 TOTAL
-                     EDM=36.107    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.59286e+02   4.94375e-01   4.11775e-02   1.72285e-01
-   2  sg_p1        1.95932e+01   4.96180e-01   1.39359e-04   2.82846e-01
-   3  sg_p2        1.48285e+00   9.77917e-02   7.54293e-02  -4.19013e-01
-   4  sg_p3        1.30319e+00   7.96802e-02   5.20393e-02  -6.78543e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.444e-01  2.547e-03  1.237e-02 -9.665e-03 
-  2.547e-03  2.466e-01  2.750e-02  2.146e-02 
-  1.237e-02  2.750e-02  9.569e-03  2.078e-03 
- -9.665e-03  2.146e-02  2.078e-03  6.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41374   1.000  0.010  0.256 -0.245
-        2  0.69659   0.010  1.000  0.566  0.542
-        3  0.61938   0.256  0.566  1.000  0.267
-        4  0.59812  -0.245  0.542  0.267  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-659.286 +- 0.494375
-19.5932 +- 0.49618
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10619.9 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.21165e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.34414e+00
-   3  sg_p2        9.15926e-01   5.00000e-01   0.00000e+00   4.72583e+01
-   4  sg_p3        1.18271e+00   7.00000e-01  -7.23594e-01  -8.98084e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=7.5268e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61397e+02   5.44897e-01   1.34246e-03   4.14273e-01
-   2  sg_p1        1.90727e+01   5.64070e-01   3.46865e-03  -1.30068e-03
-   3  sg_p2        1.41469e+00   8.73074e-02   2.15873e-03   1.72287e-02
-   4  sg_p3        1.12865e+00   7.39900e-02   1.34213e-03   2.26005e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.970e-01 -9.007e-02  2.908e-03 -1.929e-02 
- -9.007e-02  3.188e-01  2.788e-02  2.852e-02 
-  2.908e-03  2.788e-02  7.626e-03  2.278e-03 
- -1.929e-02  2.852e-02  2.278e-03  5.476e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54360   1.000 -0.293  0.061 -0.478
-        2  0.76817  -0.293  1.000  0.566  0.683
-        3  0.61547   0.061  0.566  1.000  0.353
-        4  0.74345  -0.478  0.683  0.353  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM HESSE     STATUS=OK             23 CALLS         205 TOTAL
-                     EDM=7.54443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61397e+02   5.45454e-01   2.68492e-04   2.58749e-01
-   2  sg_p1        1.90727e+01   5.66991e-01   1.38746e-04   2.11267e-01
-   3  sg_p2        1.41469e+00   8.76116e-02   8.63490e-05  -4.49065e-01
-   4  sg_p3        1.12865e+00   7.42730e-02   2.68425e-04  -7.44396e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.976e-01 -9.125e-02  2.820e-03 -1.942e-02 
- -9.125e-02  3.221e-01  2.831e-02  2.890e-02 
-  2.820e-03  2.831e-02  7.680e-03  2.324e-03 
- -1.942e-02  2.890e-02  2.324e-03  5.518e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54492   1.000 -0.295  0.059 -0.479
-        2  0.77092  -0.295  1.000  0.569  0.685
-        3  0.61896   0.059  0.569  1.000  0.357
-        4  0.74573  -0.479  0.685  0.357  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.397 +- 0.545454
-19.0727 +- 0.566991
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10830.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.44740e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -4.26729e+01
-   3  sg_p2        1.00225e+00   5.00000e-01   0.00000e+00   7.37985e+01
-   4  sg_p3        1.39341e+00   7.00000e-01  -6.45856e-01   4.14284e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=5.54438e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61183e+02   5.58601e-01   1.30703e-03   7.27339e-02
-   2  sg_p1        1.87556e+01   6.26067e-01   3.36619e-03   1.16170e-01
-   3  sg_p2        1.45666e+00   9.85527e-02   2.30722e-03  -2.01954e-01
-   4  sg_p3        1.14103e+00   8.65798e-02   1.35416e-03  -1.57200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.121e-01 -1.357e-01 -1.260e-03 -2.677e-02 
- -1.357e-01  3.929e-01  3.854e-02  4.159e-02 
- -1.260e-03  3.854e-02  9.719e-03  3.757e-03 
- -2.677e-02  4.159e-02  3.757e-03  7.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.61009   1.000 -0.388 -0.023 -0.553
-        2  0.83171  -0.388  1.000  0.624  0.766
-        3  0.66919  -0.023  0.624  1.000  0.440
-        4  0.81600  -0.553  0.766  0.440  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM HESSE     STATUS=OK             23 CALLS         182 TOTAL
-                     EDM=5.46307e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61183e+02   5.24911e-01   5.22814e-05   2.49922e-01
-   2  sg_p1        1.87556e+01   5.52841e-01   6.73237e-04   1.68209e-01
-   3  sg_p2        1.45666e+00   9.52773e-02   4.61444e-04  -4.30514e-01
-   4  sg_p3        1.14103e+00   7.38096e-02   5.41663e-05  -7.39598e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -7.938e-02  3.701e-03 -1.800e-02 
- -7.938e-02  3.062e-01  3.107e-02  2.800e-02 
-  3.701e-03  3.107e-02  9.083e-03  2.581e-03 
- -1.800e-02  2.800e-02  2.581e-03  5.449e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53953   1.000 -0.273  0.074 -0.465
-        2  0.77793  -0.273  1.000  0.589  0.686
-        3  0.63966   0.074  0.589  1.000  0.367
-        4  0.74489  -0.465  0.686  0.367  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.183 +- 0.524911
-18.7556 +- 0.552841
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9992.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.62893e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -5.90807e+01
-   3  sg_p2        9.83939e-01   5.00000e-01   0.00000e+00   6.33616e+01
-   4  sg_p3        1.46565e+00   7.00000e-01  -6.20255e-01   8.16516e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM MIGRAD    STATUS=CONVERGED     169 CALLS         170 TOTAL
-                     EDM=0.000159227    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61178e+02   7.39572e-01   1.34451e-03  -1.70686e-01
-   2  sg_p1        1.89964e+01   8.67158e-01   3.47868e-03   7.20693e-02
-   3  sg_p2        1.45598e+00   1.10743e-01   2.29383e-03  -2.60727e-02
-   4  sg_p3        1.13815e+00   1.28466e-01   1.46277e-03  -4.42263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.471e-01 -4.069e-01 -2.161e-02 -7.041e-02 
- -4.069e-01  7.555e-01  6.659e-02  9.706e-02 
- -2.161e-02  6.659e-02  1.227e-02  8.055e-03 
- -7.041e-02  9.706e-02  8.055e-03  1.652e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.76850   1.000 -0.633 -0.264 -0.741
-        2  0.90376  -0.633  1.000  0.692  0.869
-        3  0.72860  -0.264  0.692  1.000  0.566
-        4  0.90364  -0.741  0.869  0.566  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM HESSE     STATUS=OK             23 CALLS         193 TOTAL
-                     EDM=0.000158903    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61178e+02   7.43466e-01   2.68901e-04   2.49690e-01
-   2  sg_p1        1.89964e+01   8.64124e-01   6.95735e-04   2.00873e-01
-   3  sg_p2        1.45598e+00   1.09398e-01   9.17533e-05  -4.30811e-01
-   4  sg_p3        1.13815e+00   1.28692e-01   2.92554e-04  -7.40712e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.529e-01 -4.125e-01 -2.195e-02 -7.136e-02 
- -4.125e-01  7.502e-01  6.495e-02  9.696e-02 
- -2.195e-02  6.495e-02  1.198e-02  7.923e-03 
- -7.136e-02  9.696e-02  7.923e-03  1.658e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77128   1.000 -0.641 -0.270 -0.745
-        2  0.90304  -0.641  1.000  0.685  0.870
-        3  0.72136  -0.270  0.685  1.000  0.562
-        4  0.90400  -0.745  0.870  0.562  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.178 +- 0.743466
-18.9964 +- 0.864124
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11483.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.74697e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.72491e+01
-   3  sg_p2        7.99758e-01   5.00000e-01   0.00000e+00  -2.45884e+02
-   4  sg_p3        1.30853e+00   7.00000e-01  -6.76585e-01   3.62491e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11413.9 FROM HESSE     STATUS=OK             31 CALLS         214 TOTAL
-                     EDM=0.000179347    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61256e+02   8.07788e-01   1.02475e-03   4.77630e-01
-   2  sg_p1        1.89964e+01   1.08091e+00   3.49772e-03   1.37583e-01
-   3  sg_p2        1.45364e+00   1.98903e-01   2.28196e-03  -3.12364e-01
-   4  sg_p3        1.13104e+00   1.04915e-01   1.45795e-03   2.20302e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11413.9 FROM MIGRAD    STATUS=CONVERGED     223 CALLS         224 TOTAL
-                     EDM=4.35241e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61254e+02   3.21033e-01  -6.85513e-05   2.09409e-01
-   2  sg_p1        1.89941e+01   4.43174e-01  -3.15216e-04   9.14503e-02
-   3  sg_p2        1.45327e+00   7.44907e-02  -1.59636e-04  -3.27444e-01
-   4  sg_p3        1.13082e+00   4.34031e-02  -8.50837e-05   8.12827e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.031e-01  3.647e-02  1.175e-02  3.896e-03 
-  3.647e-02  1.966e-01  1.850e-02  1.029e-02 
-  1.175e-02  1.850e-02  5.551e-03  1.469e-03 
-  3.896e-03  1.029e-02  1.469e-03  1.884e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49775   1.000  0.256  0.491  0.280
-        2  0.64400   0.256  1.000  0.560  0.535
-        3  0.67669   0.491  0.560  1.000  0.454
-        4  0.57117   0.280  0.535  0.454  1.000
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.6515e+00  2.2931e-01  1.6841e+00  6.7381e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 4.658200 TO DIAGONAL.
- FCN=11413.9 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         249 TOTAL
-                     EDM=0.0178461    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61254e+02   3.25109e+00   4.09899e-04   2.52855e-01
-   2  sg_p1        1.89941e+01   1.45159e+00   1.39909e-03   2.00554e-01
-   3  sg_p2        1.45327e+00   6.02184e-01   9.12783e-04  -4.32003e-01
-   4  sg_p3        1.13082e+00   2.35099e-02   5.83181e-04  -7.43554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.063e+01  4.733e+00 -1.984e+00 -3.774e-02 
-  4.733e+00  2.135e+00 -8.861e-01 -1.641e-02 
- -1.984e+00 -8.861e-01  3.715e-01  7.009e-03 
- -3.774e-02 -1.641e-02  7.009e-03  5.527e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99842   1.000  0.993 -0.998 -0.492
-        2  0.99509   0.993  1.000 -0.995 -0.478
-        3  0.99882  -0.998 -0.995  1.000  0.489
-        4  0.50219  -0.492 -0.478  0.489  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.254 +- 3.25109
-18.9941 +- 1.45159
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 661.215 +- 0.720486 (stat) - 1.92885 + 1.27271 (syst); -1.96221/+1.32271 (total)
-   Uncertainty on sg_p1 = 18.9981 +- 0.837759 (stat) - 0.242524 + 0.595022 (syst); -0.484023/+0.727675 (total)
-   Uncertainty on sg_p2 = 1.45525 +- 0.105708 (stat) - 0.0405567 + 0.0276059 (syst); -0.0666212/+0.0596291 (total)
-   Uncertainty on sg_p3 = 1.13503 +- 0.12401 (stat) - 0.00638242 + 0.168157 (syst); -0.0623326/+0.179225 (total)
-   === Baseline plot === </br>
-   norm = 172.355
-JEC     lnN   1.021  -
-JER     lnN   1.01174  -
-btag    lnN   1.06923  -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
deleted file mode 100644
index e39c337..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,6 +0,0 @@
-Running Minos for POI 
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0082639  -0.0082639/+0.0126056  (68% CL)
-nll S+B -> -1.54413e-05  nll B -> -1.17123e-05
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
deleted file mode 100644
index 3e5e3e2..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 7.787865:	q_mu = 3.83344	q_A  = 3.83372	CLsb = 0.02512	CLb  = 0.50003	CLs  = 0.05024
-
- -- Asymptotic -- 
-Observed Limit: r < 7.7879
-Expected  2.5%: r < 4.0578
-Expected 16.0%: r < 5.4686
-Expected 50.0%: r < 7.7812
-Expected 84.0%: r < 11.2861
-Expected 97.5%: r < 15.8786
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt
deleted file mode 100644
index 62e7bf4..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.13008 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07417    -
-JER       lnN     1.01351   - 
-JEC       lnN     1.01674   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0236949058   -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 7aa5c80..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=11.2801 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.81578e-08    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.31719e+01   1.75595e+00   2.39310e-03  -1.10521e-04
-   2  Mean         1.00082e+00   3.14264e-03   5.36666e-06   2.77743e-02
-   3  Sigma        2.36949e-02   2.95964e-03   6.37166e-05  -1.30765e-03
-1.00081608364 +/- 0.00314264221278
-0.0236949057959 +/- 0.00295963910815
-PDF lnN 1.0236949058
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/signal750_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/signal750_sig.log
deleted file mode 100644
index e4e749b..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_crystal_1_550_1200/signal750_sig.log
+++ /dev/null
@@ -1,1000 +0,0 @@
-
-Processing test.c...
-nSignal_init = 99200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28581.6 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.97285e+02
-   2  sg_p1        3.25000e+01   2.50000e+00   0.00000e+00  -5.26336e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -1.34034e+00
-   4  sg_p3        8.83623e-01   7.00000e-01  -8.44345e-01  -8.85145e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28481.9 FROM HESSE     STATUS=OK             29 CALLS         226 TOTAL
-                     EDM=0.176135    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65606e-01   1.82652e-03   1.78201e-02
-   2  sg_p1        3.85553e+01   5.02370e-01   4.68920e-03  -1.33549e-02
-   3  sg_p2        2.98442e+00   1.00281e+00   5.00000e-01  -1.40904e+00
-   4  sg_p3        1.76206e+00   9.56239e-02   3.11054e-03   1.18363e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28481.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65607e-01   1.02030e-05  -2.48246e-04
-   2  sg_p1        3.85547e+01   5.02385e-01  -5.28821e-05  -6.46421e-04
-   3  sg_p2        3.57615e+00   9.22634e-01   2.50000e-01   0.00000e+00
-   4  sg_p3        1.76174e+00   9.56180e-02  -1.05757e-04  -3.32008e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.199e-01 -1.433e-02 -2.179e-05 -1.376e-02 
- -1.433e-02  2.526e-01  6.391e-05  2.295e-02 
- -2.179e-05  6.391e-05  9.034e-01  1.802e-05 
- -1.376e-02  2.295e-02  1.802e-05  9.146e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.26700   1.000 -0.050 -0.000 -0.254
-        2  0.48307  -0.050  1.000  0.000  0.477
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.53025  -0.254  0.477  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=28481.9 FROM HESSE     STATUS=FAILED          7 CALLS         245 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.41076e+02   5.45075e-01   1.82653e-03  -1.12350e-01
-   2  sg_p1        3.85547e+01   4.39914e-01   1.87568e-03   5.05653e-01
-   3  sg_p2        2.36258e+00   1.23330e+00   2.50000e-01   4.45003e-01
-   4  sg_p3        1.76174e+00   8.10352e-02  -1.05757e-04  -5.19731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.971e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.936e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  1.703e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  6.568e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-741.076 +- 0.545075
-38.5547 +- 0.439914
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28878.9 FROM MIGRAD    STATUS=INITIATE      112 CALLS         113 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.25454e+02
-   2  sg_p1        3.56130e+01   2.50000e+00   0.00000e+00   6.94117e+01
-   3  sg_p2        1.20743e+00   5.00000e-01  -5.43373e-01  -2.30464e+01
-   4  sg_p3        1.10042e+00   7.00000e-01   0.00000e+00  -5.72255e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             29 CALLS         423 TOTAL
-                     EDM=0.262248    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01   1.86583e-03  -3.18372e-03
-   2  sg_p1        3.93530e+01   5.09571e-01   5.09296e-03   1.74419e-02
-   3  sg_p2        2.25372e+00   5.17025e-01   3.03226e-01  -3.45943e+00
-   4  sg_p3        1.81743e+00   9.76205e-02   3.26395e-03  -1.13200e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28834.9 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=1.01318e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01  -7.43401e-07  -1.39873e-04
-   2  sg_p1        3.93527e+01   5.09582e-01  -3.36925e-05  -1.24591e-03
-   3  sg_p2        2.63229e+00   5.18825e-01   1.51613e-01   0.00000e+00
-   4  sg_p3        1.81743e+00   9.76204e-02  -7.43797e-07  -3.30431e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.287e-01  8.912e-03 -6.933e-06 -1.113e-02 
-  8.912e-03  2.599e-01  3.934e-05  2.184e-02 
- -6.933e-06  3.934e-05  2.731e-01  9.253e-06 
- -1.113e-02  2.184e-02  9.253e-06  9.533e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23810   1.000  0.030 -0.000 -0.199
-        2  0.45486   0.030  1.000  0.000  0.439
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.48738  -0.199  0.439  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             31 CALLS         468 TOTAL
-                     EDM=0.968431    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.44466e+02   5.73402e-01   7.46332e-04  -1.52619e-02
-   2  sg_p1        3.93527e+01   5.10469e-01   2.03719e-03   5.80225e-01
-   3  sg_p2        2.63229e+00   6.39685e-01   5.10000e-01   5.29399e-02
-   4  sg_p3        1.81743e+00   9.78361e-02   1.30558e-03  -5.01491e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.288e-01  8.226e-03  3.816e-12 -1.124e-02 
-  8.226e-03  2.608e-01  8.047e-12  2.210e-02 
-  3.816e-12  8.047e-12  4.185e-01 -1.617e-12 
- -1.124e-02  2.210e-02 -1.617e-12  9.575e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23882   1.000  0.028  0.000 -0.200
-        2  0.45797   0.028  1.000  0.000  0.442
-        3  0.00000   0.000  0.000  1.000 -0.000
-        4  0.49076  -0.200  0.442 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-744.466 +- 0.573402
-39.3527 +- 0.510469
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28016 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00   3.75442e+02
-   2  sg_p1        3.34297e+01   2.50000e+00   7.44428e-02  -3.45085e+00
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -3.67110e-01
-   4  sg_p3        9.50531e-01   7.00000e-01   0.00000e+00  -4.25357e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.1257e+00  1.0000e+00  1.0212e+00  3.1045e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.128794 TO DIAGONAL.
- FCN=27907.7 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         189 TOTAL
-                     EDM=0.288891    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37485e+02   6.72582e+00   1.83947e-03   6.18860e+00
-   2  sg_p1        3.83510e+01   1.04522e+00   4.63621e-03   1.08179e+00
-   3  sg_p2        3.44126e+00   3.98936e+00   5.00000e-01  -6.55275e-02
-   4  sg_p3        1.83188e+00   4.34020e-01   3.32682e-03  -4.03275e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=27907.7 FROM MIGRAD    STATUS=FAILED        299 CALLS         300 TOTAL
-                     EDM=0.0114055    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37435e+02   5.50832e-01   1.82376e-03   7.13141e-01
-   2  sg_p1        3.83308e+01   4.54574e-01   4.46650e-03  -6.17184e-02
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01  -3.55749e-02
-   4  sg_p3        1.83269e+00   3.76328e-02   3.32811e-03  -3.75326e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.034e-01  1.043e-03  0.000e+00 -3.749e-03 
-  1.043e-03  2.068e-01  0.000e+00  5.570e-03 
-  0.000e+00  0.000e+00  3.813e+01  0.000e+00 
- -3.749e-03  5.570e-03  0.000e+00  1.416e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.19272   1.000  0.004  0.000 -0.181
-        2  0.33174   0.004  1.000  0.000  0.325
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.37301  -0.181  0.325  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=27907.7 FROM HESSE     STATUS=OK             29 CALLS         329 TOTAL
-                     EDM=0.0259975    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.37435e+02   5.53707e-01   3.64751e-04  -2.17856e-01
-   2  sg_p1        3.83308e+01   4.70224e-01   1.78660e-04   4.85291e-01
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01   3.71491e-01
-   4  sg_p3        1.83269e+00   1.03955e-01   8.87511e-02  -4.96528e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.066e-01 -6.417e-03  3.317e-09 -1.192e-02 
- -6.417e-03  2.212e-01 -1.340e-08  1.984e-02 
-  3.317e-09 -1.340e-08  3.813e+01 -1.310e-09 
- -1.192e-02  1.984e-02 -1.310e-09  1.081e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21706   1.000 -0.025  0.000 -0.207
-        2  0.41028  -0.025  1.000 -0.000  0.406
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.45113  -0.207  0.406 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-737.435 +- 0.553707
-38.3308 +- 0.470224
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26875.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.68092e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.28555e+02
-   3  sg_p2        9.73975e-01   5.00000e-01   0.00000e+00   1.06582e+02
-   4  sg_p3        1.78677e+00   7.00000e-01  -5.11511e-01  -3.22236e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM MIGRAD    STATUS=CONVERGED     164 CALLS         165 TOTAL
-                     EDM=2.25921e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62526e+02   3.87529e-01   1.47757e-03   1.66856e-01
-   2  sg_p1        2.37778e+01   3.73075e-01   5.01466e-03   1.71102e-02
-   3  sg_p2        1.45537e+00   7.21350e-02   3.19921e-03  -4.87398e-02
-   4  sg_p3        1.20603e+00   3.81131e-02   1.25918e-03  -2.52445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.502e-01 -1.364e-02  4.886e-03 -4.422e-03 
- -1.364e-02  1.393e-01  9.457e-03  8.215e-03 
-  4.886e-03  9.457e-03  5.205e-03  5.123e-04 
- -4.422e-03  8.215e-03  5.123e-04  1.453e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38125   1.000 -0.094  0.175 -0.299
-        2  0.62877  -0.094  1.000  0.351  0.577
-        3  0.41098   0.175  0.351  1.000  0.186
-        4  0.62880  -0.299  0.577  0.186  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM HESSE     STATUS=OK             23 CALLS         188 TOTAL
-                     EDM=2.25799e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62526e+02   3.86914e-01   2.95513e-04   4.30739e-01
-   2  sg_p1        2.37778e+01   3.70943e-01   2.00586e-04  -5.19330e-01
-   3  sg_p2        1.45537e+00   7.09082e-02   1.27968e-04  -4.31078e-01
-   4  sg_p3        1.20603e+00   3.81052e-02   2.51836e-04  -7.14737e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.497e-01 -1.520e-02  4.447e-03 -4.507e-03 
- -1.520e-02  1.377e-01  8.786e-03  8.163e-03 
-  4.447e-03  8.786e-03  5.030e-03  4.843e-04 
- -4.507e-03  8.163e-03  4.843e-04  1.452e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37767   1.000 -0.106  0.162 -0.306
-        2  0.62321  -0.106  1.000  0.334  0.577
-        3  0.39101   0.162  0.334  1.000  0.179
-        4  0.62860  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.526 +- 0.386914
-23.7778 +- 0.370943
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27294.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46095e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.72944e+02
-   3  sg_p2        7.03339e-01   5.00000e-01   0.00000e+00   4.74696e+01
-   4  sg_p3        1.99296e+00   7.00000e-01  -4.45137e-01   5.15362e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM MIGRAD    STATUS=CONVERGED     184 CALLS         185 TOTAL
-                     EDM=3.95104e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.64393e+02   4.66702e-01   1.57008e-03  -7.87347e-02
-   2  sg_p1        2.18741e+01   6.89309e-01   6.78283e-03   4.79306e-02
-   3  sg_p2        1.13032e+00   8.74630e-02   2.49913e-03  -1.65710e-02
-   4  sg_p3        1.03518e+00   4.60093e-02   1.05785e-03  -5.74757e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.178e-01  6.647e-02  1.847e-02 -1.062e-03 
-  6.647e-02  4.782e-01  4.788e-02  2.645e-02 
-  1.847e-02  4.788e-02  7.654e-03  2.499e-03 
- -1.062e-03  2.645e-02  2.499e-03  2.117e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62194   1.000  0.206  0.452 -0.049
-        2  0.90325   0.206  1.000  0.791  0.831
-        3  0.84679   0.452  0.791  1.000  0.621
-        4  0.86298  -0.049  0.831  0.621  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM HESSE     STATUS=OK             23 CALLS         208 TOTAL
-                     EDM=3.92733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.64393e+02   4.66923e-01   3.14016e-04   5.00390e-01
-   2  sg_p1        2.18741e+01   6.85574e-01   2.71313e-04  -8.48247e-01
-   3  sg_p2        1.13032e+00   8.71717e-02   9.99652e-05  -5.79816e-01
-   4  sg_p3        1.03518e+00   4.58105e-02   2.11569e-04  -7.81343e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.180e-01  6.562e-02  1.843e-02 -1.114e-03 
-  6.562e-02  4.730e-01  4.734e-02  2.614e-02 
-  1.843e-02  4.734e-02  7.603e-03  2.467e-03 
- -1.114e-03  2.614e-02  2.467e-03  2.099e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62241   1.000  0.204  0.453 -0.052
-        2  0.90213   0.204  1.000  0.789  0.830
-        3  0.84567   0.453  0.789  1.000  0.617
-        4  0.86169  -0.052  0.830  0.617  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-764.393 +- 0.466923
-21.8741 +- 0.685574
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26264.2 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46794e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.17400e+02
-   3  sg_p2        1.05302e+00   5.00000e-01   0.00000e+00   5.34210e+01
-   4  sg_p3        2.10879e+00   7.00000e-01  -4.08780e-01   9.24467e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=5.02008e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.60633e+02   4.10250e-01   1.42251e-03   1.29588e-01
-   2  sg_p1        2.27934e+01   4.40097e-01   5.56534e-03  -9.52994e-03
-   3  sg_p2        1.26768e+00   7.07747e-02   2.70462e-03  -3.34938e-03
-   4  sg_p3        1.17410e+00   3.88711e-02   1.21241e-03  -3.97072e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.683e-01  2.199e-02  1.072e-02 -2.580e-03 
-  2.199e-02  1.941e-01  1.837e-02  1.084e-02 
-  1.072e-02  1.837e-02  5.011e-03  9.405e-04 
- -2.580e-03  1.084e-02  9.405e-04  1.511e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48460   1.000  0.122  0.369 -0.162
-        2  0.74869   0.122  1.000  0.589  0.633
-        3  0.66331   0.369  0.589  1.000  0.342
-        4  0.67935  -0.162  0.633  0.342  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM HESSE     STATUS=OK             23 CALLS         197 TOTAL
-                     EDM=5.03332e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.60633e+02   4.10594e-01   2.84502e-04   3.62318e-01
-   2  sg_p1        2.27934e+01   4.40772e-01   2.22614e-04  -6.78399e-01
-   3  sg_p2        1.26768e+00   7.09147e-02   1.08185e-04  -5.15453e-01
-   4  sg_p3        1.17410e+00   3.89135e-02   4.84963e-05  -7.26883e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.686e-01  2.210e-02  1.079e-02 -2.577e-03 
-  2.210e-02  1.946e-01  1.847e-02  1.088e-02 
-  1.079e-02  1.847e-02  5.031e-03  9.476e-04 
- -2.577e-03  1.088e-02  9.476e-04  1.514e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48592   1.000  0.122  0.371 -0.161
-        2  0.74959   0.122  1.000  0.590  0.634
-        3  0.66497   0.371  0.590  1.000  0.343
-        4  0.68021  -0.161  0.634  0.343  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-760.633 +- 0.410594
-22.7934 +- 0.440772
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26499.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.41562e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.39733e+02
-   3  sg_p2        8.25062e-01   5.00000e-01   0.00000e+00   1.45082e+01
-   4  sg_p3        2.10061e+00   7.00000e-01  -4.11326e-01   8.60481e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2210e+00  1.2206e+00  2.0001e+00  2.0003e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.223025 TO DIAGONAL.
- FCN=26111.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         181 TOTAL
-                     EDM=41.1386    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62134e+02   2.03776e-03   1.58217e-05   4.03447e+01
-   2  sg_p1        2.29588e+01   1.67018e-03   5.95918e-05   2.08825e+01
-   3  sg_p2        1.19457e+00   2.72680e-04   2.72376e-05   7.30730e+01
-   4  sg_p3        1.16508e+00   2.68104e-01   1.29100e-06   8.78813e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00425 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.5660e-01 -1.6788e-04  2.0585e-14  4.4568e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.461061 TO DIAGONAL.
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=26110.6 FROM MIGRAD    STATUS=FAILED        468 CALLS         469 TOTAL
-                     EDM=1.25872e+08    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62214e+02   1.17532e-01  -0.00000e+00  -5.57867e+04
-   2  sg_p1        2.29537e+01   1.01617e-02   0.00000e+00  -1.48052e+04
-   3  sg_p2        1.18371e+00   1.47620e-02   0.00000e+00  -3.24026e+04
-   4  sg_p3        1.15581e+00   5.85135e-04   0.00000e+00  -2.25593e+04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.381e-02 -5.016e-04 -1.726e-03 -6.872e-05 
- -5.016e-04  1.033e-04  4.890e-05  2.365e-06 
- -1.726e-03  4.890e-05  2.179e-04  8.608e-06 
- -6.872e-05  2.365e-06  8.608e-06  3.424e-07 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99999   1.000 -0.420 -0.995 -0.999
-        2  0.99909  -0.420  1.000  0.326  0.398
-        3  0.99999  -0.995  0.326  1.000  0.997
-        4  0.99958  -0.999  0.398  0.997  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26110.6 FROM HESSE     STATUS=OK             31 CALLS         500 TOTAL
-                     EDM=4.07569e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62214e+02   6.72563e-04   6.72704e-05   4.19323e-01
-   2  sg_p1        2.29537e+01   5.51296e-04   2.53393e-04  -6.51238e-01
-   3  sg_p2        1.18371e+00   8.97773e-05   1.15823e-04  -5.54498e-01
-   4  sg_p3        1.15581e+00   1.57378e-04   1.66079e-04  -7.33896e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.523e-07 -1.618e-13  9.783e-15 -6.573e-13 
- -1.618e-13  3.039e-07  2.059e-14  7.746e-13 
-  9.783e-15  2.059e-14  8.060e-09  1.090e-14 
- -6.573e-13  7.746e-13  1.090e-14  2.477e-08 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00001   1.000 -0.000  0.000 -0.000
-        2  0.00001  -0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00001  -0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.214 +- 0.000672563
-22.9537 +- 0.000551296
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27208.5 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.71181e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.11815e+02
-   3  sg_p2        9.86241e-01   5.00000e-01   0.00000e+00   8.13644e+01
-   4  sg_p3        2.10880e+00   7.00000e-01  -4.08775e-01   8.43786e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM MIGRAD    STATUS=CONVERGED     251 CALLS         252 TOTAL
-                     EDM=2.19426e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62956e+02   4.19070e-01   1.45249e-03  -5.27598e-02
-   2  sg_p1        2.12954e+01   4.98544e-01   7.45088e-03   6.83394e-02
-   3  sg_p2        1.18806e+00   5.51337e-02   2.26922e-03  -3.48477e-02
-   4  sg_p3        1.02393e+00   4.08580e-02   1.04829e-03  -3.83312e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.756e-01 -5.320e-02  2.758e-03 -7.610e-03 
- -5.320e-02  2.497e-01  1.564e-02  1.606e-02 
-  2.758e-03  1.564e-02  3.040e-03  9.429e-04 
- -7.610e-03  1.606e-02  9.429e-04  1.670e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55737   1.000 -0.254  0.119 -0.444
-        2  0.82936  -0.254  1.000  0.568  0.787
-        3  0.63378   0.119  0.568  1.000  0.419
-        4  0.82799  -0.444  0.787  0.419  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM HESSE     STATUS=OK             23 CALLS         275 TOTAL
-                     EDM=2.19263e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62956e+02   4.19119e-01   5.80997e-05   4.46547e-01
-   2  sg_p1        2.12954e+01   4.95694e-01   2.98035e-04  -9.74247e-01
-   3  sg_p2        1.18806e+00   5.50237e-02   9.07687e-05  -5.52454e-01
-   4  sg_p3        1.02393e+00   4.06459e-02   2.09657e-04  -7.85881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.757e-01 -5.257e-02  2.838e-03 -7.560e-03 
- -5.257e-02  2.469e-01  1.543e-02  1.584e-02 
-  2.838e-03  1.543e-02  3.028e-03  9.269e-04 
- -7.560e-03  1.584e-02  9.269e-04  1.652e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55751   1.000 -0.252  0.123 -0.444
-        2  0.82718  -0.252  1.000  0.564  0.784
-        3  0.63189   0.123  0.564  1.000  0.414
-        4  0.82600  -0.444  0.784  0.414  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.956 +- 0.419119
-21.2954 +- 0.495694
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24938.9 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.47220e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.27544e+02
-   3  sg_p2        9.01698e-01   5.00000e-01   1.92174e-02  -8.96650e-02
-   4  sg_p3        1.90374e+00   7.00000e-01   0.00000e+00   2.84089e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM MIGRAD    STATUS=CONVERGED     280 CALLS         281 TOTAL
-                     EDM=9.56937e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62504e+02   4.01949e-01   1.47474e-03  -4.25141e-02
-   2  sg_p1        2.37637e+01   3.86910e-01   5.01010e-03  -4.75722e-02
-   3  sg_p2        1.45752e+00   7.51498e-02   3.25318e-03   8.87634e-02
-   4  sg_p3        1.20613e+00   3.95609e-02   1.25939e-03   3.14350e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.616e-01 -1.460e-02  5.296e-03 -4.757e-03 
- -1.460e-02  1.499e-01  1.026e-02  8.842e-03 
-  5.296e-03  1.026e-02  5.650e-03  5.555e-04 
- -4.757e-03  8.842e-03  5.555e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38149   1.000 -0.094  0.175 -0.299
-        2  0.62911  -0.094  1.000  0.352  0.577
-        3  0.41238   0.175  0.352  1.000  0.187
-        4  0.62872  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM HESSE     STATUS=OK             23 CALLS         304 TOTAL
-                     EDM=9.61039e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62504e+02   4.01306e-01   5.89896e-05   4.29922e-01
-   2  sg_p1        2.37637e+01   3.84472e-01   1.00202e-03  -5.21496e-01
-   3  sg_p2        1.45752e+00   7.37104e-02   1.30127e-04  -4.30134e-01
-   4  sg_p3        1.20613e+00   3.95531e-02   5.03756e-05  -7.14699e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.611e-01 -1.655e-02  4.777e-03 -4.865e-03 
- -1.655e-02  1.480e-01  9.452e-03  8.781e-03 
-  4.777e-03  9.452e-03  5.435e-03  5.216e-04 
- -4.865e-03  8.781e-03  5.216e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37788   1.000 -0.107  0.161 -0.306
-        2  0.62297  -0.107  1.000  0.333  0.577
-        3  0.39044   0.161  0.333  1.000  0.179
-        4  0.62853  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.504 +- 0.401306
-23.7637 +- 0.384472
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28920.4 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.80937e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.38006e+02
-   3  sg_p2        9.71765e-01   5.00000e-01   0.00000e+00   1.16073e+02
-   4  sg_p3        1.78443e+00   7.00000e-01  -5.12276e-01  -3.52605e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=3.69493e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62545e+02   3.73878e-01   1.47900e-03   5.87554e-02
-   2  sg_p1        2.37920e+01   3.60128e-01   5.01141e-03  -3.15083e-02
-   3  sg_p2        1.45371e+00   6.94889e-02   3.21558e-03   3.10664e-02
-   4  sg_p3        1.20626e+00   3.67580e-02   1.25830e-03   1.44527e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.398e-01 -1.256e-02  4.559e-03 -4.105e-03 
- -1.256e-02  1.298e-01  8.802e-03  7.648e-03 
-  4.559e-03  8.802e-03  4.830e-03  4.765e-04 
- -4.105e-03  7.648e-03  4.765e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38118   1.000 -0.093  0.175 -0.299
-        2  0.62894  -0.093  1.000  0.352  0.577
-        3  0.41146   0.175  0.352  1.000  0.187
-        4  0.62883  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM HESSE     STATUS=OK             23 CALLS         187 TOTAL
-                     EDM=3.68603e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62545e+02   3.73300e-01   5.91598e-05   4.31441e-01
-   2  sg_p1        2.37920e+01   3.58022e-01   1.00228e-03  -5.17141e-01
-   3  sg_p2        1.45371e+00   6.82924e-02   1.28623e-04  -4.31812e-01
-   4  sg_p3        1.20626e+00   3.67501e-02   5.03319e-05  -7.14653e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.394e-01 -1.405e-02  4.150e-03 -4.188e-03 
- -1.405e-02  1.283e-01  8.166e-03  7.599e-03 
-  4.150e-03  8.166e-03  4.665e-03  4.498e-04 
- -4.188e-03  7.599e-03  4.498e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37769   1.000 -0.105  0.163 -0.305
-        2  0.62325  -0.105  1.000  0.334  0.577
-        3  0.39121   0.163  0.334  1.000  0.179
-        4  0.62862  -0.305  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.545 +- 0.3733
-23.792 +- 0.358022
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 762.526 +- 0.386914 (stat) - 1.89298 + 1.86678 (syst); -1.90284/+1.87677 (total)
-   Uncertainty on sg_p1 = 23.7778 +- 0.370943 (stat) - 2.48235 + 0.0142669 (syst); -2.48927/+0.18602 (total)
-   Uncertainty on sg_p2 = 1.45537 +- 0.0709082 (stat) - 0.32505 + 0.00214348 (syst); -0.326977/+0.0355188 (total)
-   Uncertainty on sg_p3 = 1.20603 +- 0.0381052 (stat) - 0.182102 + 0.000222545 (syst); -0.183096/+0.0190539 (total)
-   === Baseline plot === </br>
-   norm = 206.504
-JEC     lnN   1.01674  -
-JER     lnN   1.01351  -
-btag    lnN   1.07417  -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
deleted file mode 100644
index 2a4a7da..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 6.04863e-11  -6.04863e-11/+3  (68% CL)
-nll S+B -> -0.000957615  nll B -> -0.000957503
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
deleted file mode 100644
index 75e7cfc..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 8.173479:	q_mu = 3.83934	q_A  = 3.83296	CLsb = 0.02503	CLb  = 0.49935	CLs  = 0.05013
-
- -- Asymptotic -- 
-Observed Limit: r < 8.1735
-Expected  2.5%: r < 4.2534
-Expected 16.0%: r < 5.7627
-Expected 50.0%: r < 8.1562
-Expected 84.0%: r < 11.8300
-Expected 97.5%: r < 16.6438
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
deleted file mode 100644
index 4cdd398..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.13008 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07417    -
-JER       lnN     1.01351   - 
-JEC       lnN     1.01674   -
-trigger   lnN     1.10    -
-PDF       lnN     1.0236949058   -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/pdf.log
deleted file mode 100644
index 7aa5c80..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=11.2801 FROM MIGRAD    STATUS=CONVERGED      70 CALLS          71 TOTAL
-                     EDM=1.81578e-08    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.31719e+01   1.75595e+00   2.39310e-03  -1.10521e-04
-   2  Mean         1.00082e+00   3.14264e-03   5.36666e-06   2.77743e-02
-   3  Sigma        2.36949e-02   2.95964e-03   6.37166e-05  -1.30765e-03
-1.00081608364 +/- 0.00314264221278
-0.0236949057959 +/- 0.00295963910815
-PDF lnN 1.0236949058
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/signal750_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/signal750_sig.log
deleted file mode 100644
index e4e749b..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_750_novo_550_1200/signal750_sig.log
+++ /dev/null
@@ -1,1000 +0,0 @@
-
-Processing test.c...
-nSignal_init = 99200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28581.6 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.97285e+02
-   2  sg_p1        3.25000e+01   2.50000e+00   0.00000e+00  -5.26336e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -1.34034e+00
-   4  sg_p3        8.83623e-01   7.00000e-01  -8.44345e-01  -8.85145e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28481.9 FROM HESSE     STATUS=OK             29 CALLS         226 TOTAL
-                     EDM=0.176135    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65606e-01   1.82652e-03   1.78201e-02
-   2  sg_p1        3.85553e+01   5.02370e-01   4.68920e-03  -1.33549e-02
-   3  sg_p2        2.98442e+00   1.00281e+00   5.00000e-01  -1.40904e+00
-   4  sg_p3        1.76206e+00   9.56239e-02   3.11054e-03   1.18363e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28481.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65607e-01   1.02030e-05  -2.48246e-04
-   2  sg_p1        3.85547e+01   5.02385e-01  -5.28821e-05  -6.46421e-04
-   3  sg_p2        3.57615e+00   9.22634e-01   2.50000e-01   0.00000e+00
-   4  sg_p3        1.76174e+00   9.56180e-02  -1.05757e-04  -3.32008e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.199e-01 -1.433e-02 -2.179e-05 -1.376e-02 
- -1.433e-02  2.526e-01  6.391e-05  2.295e-02 
- -2.179e-05  6.391e-05  9.034e-01  1.802e-05 
- -1.376e-02  2.295e-02  1.802e-05  9.146e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.26700   1.000 -0.050 -0.000 -0.254
-        2  0.48307  -0.050  1.000  0.000  0.477
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.53025  -0.254  0.477  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=28481.9 FROM HESSE     STATUS=FAILED          7 CALLS         245 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.41076e+02   5.45075e-01   1.82653e-03  -1.12350e-01
-   2  sg_p1        3.85547e+01   4.39914e-01   1.87568e-03   5.05653e-01
-   3  sg_p2        2.36258e+00   1.23330e+00   2.50000e-01   4.45003e-01
-   4  sg_p3        1.76174e+00   8.10352e-02  -1.05757e-04  -5.19731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.971e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.936e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  1.703e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  6.568e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-741.076 +- 0.545075
-38.5547 +- 0.439914
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28878.9 FROM MIGRAD    STATUS=INITIATE      112 CALLS         113 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.25454e+02
-   2  sg_p1        3.56130e+01   2.50000e+00   0.00000e+00   6.94117e+01
-   3  sg_p2        1.20743e+00   5.00000e-01  -5.43373e-01  -2.30464e+01
-   4  sg_p3        1.10042e+00   7.00000e-01   0.00000e+00  -5.72255e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             29 CALLS         423 TOTAL
-                     EDM=0.262248    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01   1.86583e-03  -3.18372e-03
-   2  sg_p1        3.93530e+01   5.09571e-01   5.09296e-03   1.74419e-02
-   3  sg_p2        2.25372e+00   5.17025e-01   3.03226e-01  -3.45943e+00
-   4  sg_p3        1.81743e+00   9.76205e-02   3.26395e-03  -1.13200e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28834.9 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=1.01318e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01  -7.43401e-07  -1.39873e-04
-   2  sg_p1        3.93527e+01   5.09582e-01  -3.36925e-05  -1.24591e-03
-   3  sg_p2        2.63229e+00   5.18825e-01   1.51613e-01   0.00000e+00
-   4  sg_p3        1.81743e+00   9.76204e-02  -7.43797e-07  -3.30431e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.287e-01  8.912e-03 -6.933e-06 -1.113e-02 
-  8.912e-03  2.599e-01  3.934e-05  2.184e-02 
- -6.933e-06  3.934e-05  2.731e-01  9.253e-06 
- -1.113e-02  2.184e-02  9.253e-06  9.533e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23810   1.000  0.030 -0.000 -0.199
-        2  0.45486   0.030  1.000  0.000  0.439
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.48738  -0.199  0.439  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             31 CALLS         468 TOTAL
-                     EDM=0.968431    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.44466e+02   5.73402e-01   7.46332e-04  -1.52619e-02
-   2  sg_p1        3.93527e+01   5.10469e-01   2.03719e-03   5.80225e-01
-   3  sg_p2        2.63229e+00   6.39685e-01   5.10000e-01   5.29399e-02
-   4  sg_p3        1.81743e+00   9.78361e-02   1.30558e-03  -5.01491e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.288e-01  8.226e-03  3.816e-12 -1.124e-02 
-  8.226e-03  2.608e-01  8.047e-12  2.210e-02 
-  3.816e-12  8.047e-12  4.185e-01 -1.617e-12 
- -1.124e-02  2.210e-02 -1.617e-12  9.575e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23882   1.000  0.028  0.000 -0.200
-        2  0.45797   0.028  1.000  0.000  0.442
-        3  0.00000   0.000  0.000  1.000 -0.000
-        4  0.49076  -0.200  0.442 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-744.466 +- 0.573402
-39.3527 +- 0.510469
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28016 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00   3.75442e+02
-   2  sg_p1        3.34297e+01   2.50000e+00   7.44428e-02  -3.45085e+00
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -3.67110e-01
-   4  sg_p3        9.50531e-01   7.00000e-01   0.00000e+00  -4.25357e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.1257e+00  1.0000e+00  1.0212e+00  3.1045e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.128794 TO DIAGONAL.
- FCN=27907.7 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         189 TOTAL
-                     EDM=0.288891    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37485e+02   6.72582e+00   1.83947e-03   6.18860e+00
-   2  sg_p1        3.83510e+01   1.04522e+00   4.63621e-03   1.08179e+00
-   3  sg_p2        3.44126e+00   3.98936e+00   5.00000e-01  -6.55275e-02
-   4  sg_p3        1.83188e+00   4.34020e-01   3.32682e-03  -4.03275e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=27907.7 FROM MIGRAD    STATUS=FAILED        299 CALLS         300 TOTAL
-                     EDM=0.0114055    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37435e+02   5.50832e-01   1.82376e-03   7.13141e-01
-   2  sg_p1        3.83308e+01   4.54574e-01   4.46650e-03  -6.17184e-02
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01  -3.55749e-02
-   4  sg_p3        1.83269e+00   3.76328e-02   3.32811e-03  -3.75326e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.034e-01  1.043e-03  0.000e+00 -3.749e-03 
-  1.043e-03  2.068e-01  0.000e+00  5.570e-03 
-  0.000e+00  0.000e+00  3.813e+01  0.000e+00 
- -3.749e-03  5.570e-03  0.000e+00  1.416e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.19272   1.000  0.004  0.000 -0.181
-        2  0.33174   0.004  1.000  0.000  0.325
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.37301  -0.181  0.325  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=27907.7 FROM HESSE     STATUS=OK             29 CALLS         329 TOTAL
-                     EDM=0.0259975    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.37435e+02   5.53707e-01   3.64751e-04  -2.17856e-01
-   2  sg_p1        3.83308e+01   4.70224e-01   1.78660e-04   4.85291e-01
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01   3.71491e-01
-   4  sg_p3        1.83269e+00   1.03955e-01   8.87511e-02  -4.96528e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.066e-01 -6.417e-03  3.317e-09 -1.192e-02 
- -6.417e-03  2.212e-01 -1.340e-08  1.984e-02 
-  3.317e-09 -1.340e-08  3.813e+01 -1.310e-09 
- -1.192e-02  1.984e-02 -1.310e-09  1.081e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21706   1.000 -0.025  0.000 -0.207
-        2  0.41028  -0.025  1.000 -0.000  0.406
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.45113  -0.207  0.406 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-737.435 +- 0.553707
-38.3308 +- 0.470224
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26875.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.68092e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.28555e+02
-   3  sg_p2        9.73975e-01   5.00000e-01   0.00000e+00   1.06582e+02
-   4  sg_p3        1.78677e+00   7.00000e-01  -5.11511e-01  -3.22236e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM MIGRAD    STATUS=CONVERGED     164 CALLS         165 TOTAL
-                     EDM=2.25921e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62526e+02   3.87529e-01   1.47757e-03   1.66856e-01
-   2  sg_p1        2.37778e+01   3.73075e-01   5.01466e-03   1.71102e-02
-   3  sg_p2        1.45537e+00   7.21350e-02   3.19921e-03  -4.87398e-02
-   4  sg_p3        1.20603e+00   3.81131e-02   1.25918e-03  -2.52445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.502e-01 -1.364e-02  4.886e-03 -4.422e-03 
- -1.364e-02  1.393e-01  9.457e-03  8.215e-03 
-  4.886e-03  9.457e-03  5.205e-03  5.123e-04 
- -4.422e-03  8.215e-03  5.123e-04  1.453e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38125   1.000 -0.094  0.175 -0.299
-        2  0.62877  -0.094  1.000  0.351  0.577
-        3  0.41098   0.175  0.351  1.000  0.186
-        4  0.62880  -0.299  0.577  0.186  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM HESSE     STATUS=OK             23 CALLS         188 TOTAL
-                     EDM=2.25799e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62526e+02   3.86914e-01   2.95513e-04   4.30739e-01
-   2  sg_p1        2.37778e+01   3.70943e-01   2.00586e-04  -5.19330e-01
-   3  sg_p2        1.45537e+00   7.09082e-02   1.27968e-04  -4.31078e-01
-   4  sg_p3        1.20603e+00   3.81052e-02   2.51836e-04  -7.14737e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.497e-01 -1.520e-02  4.447e-03 -4.507e-03 
- -1.520e-02  1.377e-01  8.786e-03  8.163e-03 
-  4.447e-03  8.786e-03  5.030e-03  4.843e-04 
- -4.507e-03  8.163e-03  4.843e-04  1.452e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37767   1.000 -0.106  0.162 -0.306
-        2  0.62321  -0.106  1.000  0.334  0.577
-        3  0.39101   0.162  0.334  1.000  0.179
-        4  0.62860  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.526 +- 0.386914
-23.7778 +- 0.370943
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27294.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46095e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.72944e+02
-   3  sg_p2        7.03339e-01   5.00000e-01   0.00000e+00   4.74696e+01
-   4  sg_p3        1.99296e+00   7.00000e-01  -4.45137e-01   5.15362e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM MIGRAD    STATUS=CONVERGED     184 CALLS         185 TOTAL
-                     EDM=3.95104e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.64393e+02   4.66702e-01   1.57008e-03  -7.87347e-02
-   2  sg_p1        2.18741e+01   6.89309e-01   6.78283e-03   4.79306e-02
-   3  sg_p2        1.13032e+00   8.74630e-02   2.49913e-03  -1.65710e-02
-   4  sg_p3        1.03518e+00   4.60093e-02   1.05785e-03  -5.74757e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.178e-01  6.647e-02  1.847e-02 -1.062e-03 
-  6.647e-02  4.782e-01  4.788e-02  2.645e-02 
-  1.847e-02  4.788e-02  7.654e-03  2.499e-03 
- -1.062e-03  2.645e-02  2.499e-03  2.117e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62194   1.000  0.206  0.452 -0.049
-        2  0.90325   0.206  1.000  0.791  0.831
-        3  0.84679   0.452  0.791  1.000  0.621
-        4  0.86298  -0.049  0.831  0.621  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM HESSE     STATUS=OK             23 CALLS         208 TOTAL
-                     EDM=3.92733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.64393e+02   4.66923e-01   3.14016e-04   5.00390e-01
-   2  sg_p1        2.18741e+01   6.85574e-01   2.71313e-04  -8.48247e-01
-   3  sg_p2        1.13032e+00   8.71717e-02   9.99652e-05  -5.79816e-01
-   4  sg_p3        1.03518e+00   4.58105e-02   2.11569e-04  -7.81343e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.180e-01  6.562e-02  1.843e-02 -1.114e-03 
-  6.562e-02  4.730e-01  4.734e-02  2.614e-02 
-  1.843e-02  4.734e-02  7.603e-03  2.467e-03 
- -1.114e-03  2.614e-02  2.467e-03  2.099e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62241   1.000  0.204  0.453 -0.052
-        2  0.90213   0.204  1.000  0.789  0.830
-        3  0.84567   0.453  0.789  1.000  0.617
-        4  0.86169  -0.052  0.830  0.617  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-764.393 +- 0.466923
-21.8741 +- 0.685574
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26264.2 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46794e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.17400e+02
-   3  sg_p2        1.05302e+00   5.00000e-01   0.00000e+00   5.34210e+01
-   4  sg_p3        2.10879e+00   7.00000e-01  -4.08780e-01   9.24467e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=5.02008e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.60633e+02   4.10250e-01   1.42251e-03   1.29588e-01
-   2  sg_p1        2.27934e+01   4.40097e-01   5.56534e-03  -9.52994e-03
-   3  sg_p2        1.26768e+00   7.07747e-02   2.70462e-03  -3.34938e-03
-   4  sg_p3        1.17410e+00   3.88711e-02   1.21241e-03  -3.97072e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.683e-01  2.199e-02  1.072e-02 -2.580e-03 
-  2.199e-02  1.941e-01  1.837e-02  1.084e-02 
-  1.072e-02  1.837e-02  5.011e-03  9.405e-04 
- -2.580e-03  1.084e-02  9.405e-04  1.511e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48460   1.000  0.122  0.369 -0.162
-        2  0.74869   0.122  1.000  0.589  0.633
-        3  0.66331   0.369  0.589  1.000  0.342
-        4  0.67935  -0.162  0.633  0.342  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM HESSE     STATUS=OK             23 CALLS         197 TOTAL
-                     EDM=5.03332e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.60633e+02   4.10594e-01   2.84502e-04   3.62318e-01
-   2  sg_p1        2.27934e+01   4.40772e-01   2.22614e-04  -6.78399e-01
-   3  sg_p2        1.26768e+00   7.09147e-02   1.08185e-04  -5.15453e-01
-   4  sg_p3        1.17410e+00   3.89135e-02   4.84963e-05  -7.26883e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.686e-01  2.210e-02  1.079e-02 -2.577e-03 
-  2.210e-02  1.946e-01  1.847e-02  1.088e-02 
-  1.079e-02  1.847e-02  5.031e-03  9.476e-04 
- -2.577e-03  1.088e-02  9.476e-04  1.514e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48592   1.000  0.122  0.371 -0.161
-        2  0.74959   0.122  1.000  0.590  0.634
-        3  0.66497   0.371  0.590  1.000  0.343
-        4  0.68021  -0.161  0.634  0.343  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-760.633 +- 0.410594
-22.7934 +- 0.440772
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26499.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.41562e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.39733e+02
-   3  sg_p2        8.25062e-01   5.00000e-01   0.00000e+00   1.45082e+01
-   4  sg_p3        2.10061e+00   7.00000e-01  -4.11326e-01   8.60481e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2210e+00  1.2206e+00  2.0001e+00  2.0003e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.223025 TO DIAGONAL.
- FCN=26111.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         181 TOTAL
-                     EDM=41.1386    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62134e+02   2.03776e-03   1.58217e-05   4.03447e+01
-   2  sg_p1        2.29588e+01   1.67018e-03   5.95918e-05   2.08825e+01
-   3  sg_p2        1.19457e+00   2.72680e-04   2.72376e-05   7.30730e+01
-   4  sg_p3        1.16508e+00   2.68104e-01   1.29100e-06   8.78813e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00425 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.5660e-01 -1.6788e-04  2.0585e-14  4.4568e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.461061 TO DIAGONAL.
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=26110.6 FROM MIGRAD    STATUS=FAILED        468 CALLS         469 TOTAL
-                     EDM=1.25872e+08    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62214e+02   1.17532e-01  -0.00000e+00  -5.57867e+04
-   2  sg_p1        2.29537e+01   1.01617e-02   0.00000e+00  -1.48052e+04
-   3  sg_p2        1.18371e+00   1.47620e-02   0.00000e+00  -3.24026e+04
-   4  sg_p3        1.15581e+00   5.85135e-04   0.00000e+00  -2.25593e+04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.381e-02 -5.016e-04 -1.726e-03 -6.872e-05 
- -5.016e-04  1.033e-04  4.890e-05  2.365e-06 
- -1.726e-03  4.890e-05  2.179e-04  8.608e-06 
- -6.872e-05  2.365e-06  8.608e-06  3.424e-07 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99999   1.000 -0.420 -0.995 -0.999
-        2  0.99909  -0.420  1.000  0.326  0.398
-        3  0.99999  -0.995  0.326  1.000  0.997
-        4  0.99958  -0.999  0.398  0.997  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26110.6 FROM HESSE     STATUS=OK             31 CALLS         500 TOTAL
-                     EDM=4.07569e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62214e+02   6.72563e-04   6.72704e-05   4.19323e-01
-   2  sg_p1        2.29537e+01   5.51296e-04   2.53393e-04  -6.51238e-01
-   3  sg_p2        1.18371e+00   8.97773e-05   1.15823e-04  -5.54498e-01
-   4  sg_p3        1.15581e+00   1.57378e-04   1.66079e-04  -7.33896e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.523e-07 -1.618e-13  9.783e-15 -6.573e-13 
- -1.618e-13  3.039e-07  2.059e-14  7.746e-13 
-  9.783e-15  2.059e-14  8.060e-09  1.090e-14 
- -6.573e-13  7.746e-13  1.090e-14  2.477e-08 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00001   1.000 -0.000  0.000 -0.000
-        2  0.00001  -0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00001  -0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.214 +- 0.000672563
-22.9537 +- 0.000551296
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27208.5 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.71181e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.11815e+02
-   3  sg_p2        9.86241e-01   5.00000e-01   0.00000e+00   8.13644e+01
-   4  sg_p3        2.10880e+00   7.00000e-01  -4.08775e-01   8.43786e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM MIGRAD    STATUS=CONVERGED     251 CALLS         252 TOTAL
-                     EDM=2.19426e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62956e+02   4.19070e-01   1.45249e-03  -5.27598e-02
-   2  sg_p1        2.12954e+01   4.98544e-01   7.45088e-03   6.83394e-02
-   3  sg_p2        1.18806e+00   5.51337e-02   2.26922e-03  -3.48477e-02
-   4  sg_p3        1.02393e+00   4.08580e-02   1.04829e-03  -3.83312e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.756e-01 -5.320e-02  2.758e-03 -7.610e-03 
- -5.320e-02  2.497e-01  1.564e-02  1.606e-02 
-  2.758e-03  1.564e-02  3.040e-03  9.429e-04 
- -7.610e-03  1.606e-02  9.429e-04  1.670e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55737   1.000 -0.254  0.119 -0.444
-        2  0.82936  -0.254  1.000  0.568  0.787
-        3  0.63378   0.119  0.568  1.000  0.419
-        4  0.82799  -0.444  0.787  0.419  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM HESSE     STATUS=OK             23 CALLS         275 TOTAL
-                     EDM=2.19263e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62956e+02   4.19119e-01   5.80997e-05   4.46547e-01
-   2  sg_p1        2.12954e+01   4.95694e-01   2.98035e-04  -9.74247e-01
-   3  sg_p2        1.18806e+00   5.50237e-02   9.07687e-05  -5.52454e-01
-   4  sg_p3        1.02393e+00   4.06459e-02   2.09657e-04  -7.85881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.757e-01 -5.257e-02  2.838e-03 -7.560e-03 
- -5.257e-02  2.469e-01  1.543e-02  1.584e-02 
-  2.838e-03  1.543e-02  3.028e-03  9.269e-04 
- -7.560e-03  1.584e-02  9.269e-04  1.652e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55751   1.000 -0.252  0.123 -0.444
-        2  0.82718  -0.252  1.000  0.564  0.784
-        3  0.63189   0.123  0.564  1.000  0.414
-        4  0.82600  -0.444  0.784  0.414  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.956 +- 0.419119
-21.2954 +- 0.495694
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24938.9 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.47220e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.27544e+02
-   3  sg_p2        9.01698e-01   5.00000e-01   1.92174e-02  -8.96650e-02
-   4  sg_p3        1.90374e+00   7.00000e-01   0.00000e+00   2.84089e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM MIGRAD    STATUS=CONVERGED     280 CALLS         281 TOTAL
-                     EDM=9.56937e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62504e+02   4.01949e-01   1.47474e-03  -4.25141e-02
-   2  sg_p1        2.37637e+01   3.86910e-01   5.01010e-03  -4.75722e-02
-   3  sg_p2        1.45752e+00   7.51498e-02   3.25318e-03   8.87634e-02
-   4  sg_p3        1.20613e+00   3.95609e-02   1.25939e-03   3.14350e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.616e-01 -1.460e-02  5.296e-03 -4.757e-03 
- -1.460e-02  1.499e-01  1.026e-02  8.842e-03 
-  5.296e-03  1.026e-02  5.650e-03  5.555e-04 
- -4.757e-03  8.842e-03  5.555e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38149   1.000 -0.094  0.175 -0.299
-        2  0.62911  -0.094  1.000  0.352  0.577
-        3  0.41238   0.175  0.352  1.000  0.187
-        4  0.62872  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM HESSE     STATUS=OK             23 CALLS         304 TOTAL
-                     EDM=9.61039e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62504e+02   4.01306e-01   5.89896e-05   4.29922e-01
-   2  sg_p1        2.37637e+01   3.84472e-01   1.00202e-03  -5.21496e-01
-   3  sg_p2        1.45752e+00   7.37104e-02   1.30127e-04  -4.30134e-01
-   4  sg_p3        1.20613e+00   3.95531e-02   5.03756e-05  -7.14699e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.611e-01 -1.655e-02  4.777e-03 -4.865e-03 
- -1.655e-02  1.480e-01  9.452e-03  8.781e-03 
-  4.777e-03  9.452e-03  5.435e-03  5.216e-04 
- -4.865e-03  8.781e-03  5.216e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37788   1.000 -0.107  0.161 -0.306
-        2  0.62297  -0.107  1.000  0.333  0.577
-        3  0.39044   0.161  0.333  1.000  0.179
-        4  0.62853  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.504 +- 0.401306
-23.7637 +- 0.384472
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28920.4 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.80937e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.38006e+02
-   3  sg_p2        9.71765e-01   5.00000e-01   0.00000e+00   1.16073e+02
-   4  sg_p3        1.78443e+00   7.00000e-01  -5.12276e-01  -3.52605e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=3.69493e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62545e+02   3.73878e-01   1.47900e-03   5.87554e-02
-   2  sg_p1        2.37920e+01   3.60128e-01   5.01141e-03  -3.15083e-02
-   3  sg_p2        1.45371e+00   6.94889e-02   3.21558e-03   3.10664e-02
-   4  sg_p3        1.20626e+00   3.67580e-02   1.25830e-03   1.44527e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.398e-01 -1.256e-02  4.559e-03 -4.105e-03 
- -1.256e-02  1.298e-01  8.802e-03  7.648e-03 
-  4.559e-03  8.802e-03  4.830e-03  4.765e-04 
- -4.105e-03  7.648e-03  4.765e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38118   1.000 -0.093  0.175 -0.299
-        2  0.62894  -0.093  1.000  0.352  0.577
-        3  0.41146   0.175  0.352  1.000  0.187
-        4  0.62883  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM HESSE     STATUS=OK             23 CALLS         187 TOTAL
-                     EDM=3.68603e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62545e+02   3.73300e-01   5.91598e-05   4.31441e-01
-   2  sg_p1        2.37920e+01   3.58022e-01   1.00228e-03  -5.17141e-01
-   3  sg_p2        1.45371e+00   6.82924e-02   1.28623e-04  -4.31812e-01
-   4  sg_p3        1.20626e+00   3.67501e-02   5.03319e-05  -7.14653e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.394e-01 -1.405e-02  4.150e-03 -4.188e-03 
- -1.405e-02  1.283e-01  8.166e-03  7.599e-03 
-  4.150e-03  8.166e-03  4.665e-03  4.498e-04 
- -4.188e-03  7.599e-03  4.498e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37769   1.000 -0.105  0.163 -0.305
-        2  0.62325  -0.105  1.000  0.334  0.577
-        3  0.39121   0.163  0.334  1.000  0.179
-        4  0.62862  -0.305  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.545 +- 0.3733
-23.792 +- 0.358022
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 762.526 +- 0.386914 (stat) - 1.89298 + 1.86678 (syst); -1.90284/+1.87677 (total)
-   Uncertainty on sg_p1 = 23.7778 +- 0.370943 (stat) - 2.48235 + 0.0142669 (syst); -2.48927/+0.18602 (total)
-   Uncertainty on sg_p2 = 1.45537 +- 0.0709082 (stat) - 0.32505 + 0.00214348 (syst); -0.326977/+0.0355188 (total)
-   Uncertainty on sg_p3 = 1.20603 +- 0.0381052 (stat) - 0.182102 + 0.000222545 (syst); -0.183096/+0.0190539 (total)
-   === Baseline plot === </br>
-   norm = 206.504
-JEC     lnN   1.01674  -
-JER     lnN   1.01351  -
-btag    lnN   1.07417  -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
deleted file mode 100644
index d630156..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Info in <Minuit2>: MinuReal time 0:00:00, CP time 0.040
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00461347  -0.00461347/+1.53837  (68% CL)
-nll S+B -> -1.44526e-05  nll B -> -1.04114e-05
-Done in 0.01 min (cpu), 0.01 min (real)
-ors>: Minos error calculation failed for all parameters
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
deleted file mode 100644
index 76dead7..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 6.706050:	q_mu = 3.83270	q_A  = 3.83271	CLsb = 0.02513	CLb  = 0.50000	CLs  = 0.05026
-
- -- Asymptotic -- 
-Observed Limit: r < 6.7060
-Expected  2.5%: r < 3.4775
-Expected 16.0%: r < 4.7056
-Expected 50.0%: r < 6.7188
-Expected 84.0%: r < 9.7450
-Expected 97.5%: r < 13.7939
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt
deleted file mode 100644
index f08ad78..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.34388 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07603    -
-JER       lnN     1.01239   - 
-JEC       lnN     1.00978   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02582057265   -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/pdf.log
deleted file mode 100644
index 5c6918c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=11.654 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=8.09882e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.23667e+01   1.57858e+00   2.28932e-03  -7.62719e-04
-   2  Mean         9.96794e-01   3.97718e-03   5.94251e-06   1.30367e-01
-   3  Sigma        2.58206e-02   3.15532e-03   5.93010e-05  -1.75592e-02
-0.996794053439 +/- 0.00397717769168
-0.0258205726549 +/- 0.00315531854748
-PDF lnN 1.02582057265
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/signal800_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/signal800_sig.log
deleted file mode 100644
index 9bb688f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_crystal_1_550_1200/signal800_sig.log
+++ /dev/null
@@ -1,986 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30655.7 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -1.30426e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -1.66737e+02
-   3  sg_p2        2.94124e+00   5.00000e-01   0.00000e+00  -1.49475e-01
-   4  sg_p3        1.57852e+00   7.00000e-01  -5.81159e-01   2.58563e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM MIGRAD    STATUS=CONVERGED     151 CALLS         152 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   1.11551e-01
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   1.05806e-01
-   3  sg_p2        4.91276e+00   3.42658e+00  -3.03050e-03   0.00000e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -1.47920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM HESSE     STATUS=FAILED          7 CALLS         159 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   8.63427e-03
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   2.27549e-01
-   3  sg_p2        4.30353e+00   3.12197e+00  -3.03050e-03   1.30584e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -4.65886e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-790.259 +- 0.537023
-40.3199 +- 0.416552
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30957.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -4.59580e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -2.30328e+02
-   3  sg_p2        1.77977e+00   5.00000e-01   0.00000e+00   5.54337e-01
-   4  sg_p3        1.71207e+00   7.00000e-01  -5.36159e-01   1.57191e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02296 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.52673e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57072e-01   2.22239e-03   2.71391e-03
-   2  sg_p1        4.08795e+01   4.57494e-01   4.30357e-03   8.95731e-02
-   3  sg_p2        2.60706e+00   9.43716e-01   4.61396e-02  -1.14830e-02
-   4  sg_p3        1.95465e+00   1.29415e-01   4.57004e-03  -4.88228e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02637 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM MIGRAD    STATUS=CONVERGED     377 CALLS         378 TOTAL
-                     EDM=5.46872e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57319e-01   8.88956e-04  -1.24563e-04
-   2  sg_p1        4.08783e+01   4.58216e-01   1.72143e-03  -1.67615e-04
-   3  sg_p2        2.61137e+00   9.86696e-01   4.70300e-02  -5.75769e-03
-   4  sg_p3        1.95475e+00   1.29727e-01   1.82801e-03   4.70590e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.106e-01 -1.282e-02  1.973e-11 -1.514e-02 
- -1.282e-02  2.101e-01 -3.231e-10  2.168e-02 
-  1.973e-11 -3.231e-10  1.029e+00 -3.334e-11 
- -1.514e-02  2.168e-02 -3.334e-11  1.684e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21127   1.000 -0.050  0.000 -0.209
-        2  0.36542  -0.050  1.000 -0.000  0.364
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.41162  -0.209  0.364 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             29 CALLS         407 TOTAL
-                     EDM=1.45739e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.93825e+02   5.57488e-01   3.55582e-05   1.27840e-01
-   2  sg_p1        4.08783e+01   4.58705e-01   6.88571e-05   2.73664e-01
-   3  sg_p2        2.61137e+00   3.15165e-01   3.77936e-01   4.45612e-02
-   4  sg_p3        1.95475e+00   1.29897e-01   7.31206e-05  -4.57269e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.108e-01 -1.327e-02  9.363e-11 -1.527e-02 
- -1.327e-02  2.105e-01 -6.593e-11  2.188e-02 
-  9.363e-11 -6.593e-11  9.986e-02  1.258e-11 
- -1.527e-02  2.188e-02  1.258e-11  1.688e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21263   1.000 -0.052  0.000 -0.211
-        2  0.36794  -0.052  1.000 -0.000  0.367
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.41424  -0.211  0.367  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-793.825 +- 0.557488
-40.8783 +- 0.458705
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30291.5 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00   1.95885e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -7.27088e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -9.73752e-02
-   4  sg_p3        1.38901e+00   7.00000e-01  -6.47432e-01   2.33654e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=8.78757e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.86674e+02   5.58720e-01   2.15921e-03  -1.99988e-01
-   2  sg_p1        4.00594e+01   4.59169e-01   4.05661e-03   3.84165e-02
-   3  sg_p2        2.51479e+00   3.25925e-01   2.03755e-02   4.90232e-02
-   4  sg_p3        1.92655e+00   1.49829e-01   4.93143e-03   8.21834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.122e-01 -3.425e-02  1.692e-03 -2.360e-02 
- -3.425e-02  2.109e-01  3.630e-03  2.988e-02 
-  1.692e-03  3.630e-03  1.068e-01  4.290e-04 
- -2.360e-02  2.988e-02  4.290e-04  2.247e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28235   1.000 -0.133  0.009 -0.282
-        2  0.43476  -0.133  1.000  0.024  0.434
-        3  0.02730   0.009  0.024  1.000  0.009
-        4  0.48938  -0.282  0.434  0.009  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM HESSE     STATUS=OK             33 CALLS         196 TOTAL
-                     EDM=6.62467e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.86674e+02   5.59678e-01   4.31843e-04  -1.11107e-01
-   2  sg_p1        4.00594e+01   4.61116e-01   1.62264e-04   2.06214e-01
-   3  sg_p2        2.51479e+00   2.22927e-01   4.53587e-01   5.91504e-03
-   4  sg_p3        1.92655e+00   1.50658e-01   1.97257e-04  -4.66270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.133e-01 -3.601e-02  1.955e-04 -2.426e-02 
- -3.601e-02  2.127e-01  4.139e-04  3.075e-02 
-  1.955e-04  4.139e-04  4.983e-02  4.614e-05 
- -2.426e-02  3.075e-02  4.614e-05  2.272e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28788   1.000 -0.140  0.002 -0.288
-        2  0.44255  -0.140  1.000  0.004  0.442
-        3  0.00456   0.002  0.004  1.000  0.001
-        4  0.49768  -0.288  0.442  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-786.674 +- 0.559678
-40.0594 +- 0.461116
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29080.5 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.86811e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.59388e+01
-   3  sg_p2        1.11453e+00   5.00000e-01   0.00000e+00   1.02248e+02
-   4  sg_p3        1.01032e+00   7.00000e-01  -7.91400e-01  -4.01707e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=2.80961e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14374e+02   3.98724e-01   1.45304e-03  -1.70387e-01
-   2  sg_p1        2.58336e+01   3.59782e-01   4.89449e-03   8.13003e-02
-   3  sg_p2        1.67359e+00   7.19571e-02   3.19487e-03   5.88230e-02
-   4  sg_p3        1.19124e+00   3.46142e-02   1.23219e-03  -4.28854e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.590e-01 -2.453e-02  3.541e-03 -4.624e-03 
- -2.453e-02  1.296e-01  1.051e-02  6.871e-03 
-  3.541e-03  1.051e-02  5.179e-03  5.110e-04 
- -4.624e-03  6.871e-03  5.110e-04  1.198e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39250   1.000 -0.171  0.123 -0.335
-        2  0.62921  -0.171  1.000  0.406  0.551
-        3  0.45197   0.123  0.406  1.000  0.205
-        4  0.60406  -0.335  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM HESSE     STATUS=OK             23 CALLS         232 TOTAL
-                     EDM=2.80811e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14374e+02   3.98978e-01   2.90608e-04   1.46314e-01
-   2  sg_p1        2.58336e+01   3.61130e-01   1.95780e-04   4.60594e-01
-   3  sg_p2        1.67359e+00   7.21418e-02   1.27795e-04  -3.36900e-01
-   4  sg_p3        1.19124e+00   3.46971e-02   2.46437e-04  -7.20348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.592e-01 -2.477e-02  3.557e-03 -4.644e-03 
- -2.477e-02  1.305e-01  1.069e-02  6.950e-03 
-  3.557e-03  1.069e-02  5.206e-03  5.225e-04 
- -4.644e-03  6.950e-03  5.225e-04  1.204e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39387   1.000 -0.172  0.124 -0.335
-        2  0.63278  -0.172  1.000  0.410  0.554
-        3  0.45643   0.124  0.410  1.000  0.209
-        4  0.60656  -0.335  0.554  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.374 +- 0.398978
-25.8336 +- 0.36113
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29394.8 FROM MIGRAD    STATUS=INITIATE       76 CALLS          77 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.09344e+02   6.00000e+00   0.00000e+00  -9.04905e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.79169e+02
-   3  sg_p2        1.02066e+00   5.00000e-01   0.00000e+00   2.33092e+02
-   4  sg_p3        1.24736e+00   7.00000e-01  -6.99207e-01   3.18929e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM MIGRAD    STATUS=CONVERGED     227 CALLS         228 TOTAL
-                     EDM=6.02107e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.15934e+02   4.09344e-01   1.49430e-03  -1.08719e-01
-   2  sg_p1        2.62317e+01   4.03039e-01   5.19030e-03   1.33417e-01
-   3  sg_p2        1.65790e+00   9.28346e-02   3.66697e-03   4.58391e-02
-   4  sg_p3        1.21792e+00   3.62585e-02   1.27250e-03  -4.88031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.676e-01 -5.450e-03  9.103e-03 -3.808e-03 
- -5.450e-03  1.626e-01  2.111e-02  8.287e-03 
-  9.103e-03  2.111e-02  8.623e-03  9.650e-04 
- -3.808e-03  8.287e-03  9.650e-04  1.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41684   1.000 -0.033  0.239 -0.257
-        2  0.70520  -0.033  1.000  0.564  0.567
-        3  0.62110   0.239  0.564  1.000  0.287
-        4  0.61571  -0.257  0.567  0.287  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM HESSE     STATUS=OK             23 CALLS         251 TOTAL
-                     EDM=6.06559e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.15934e+02   4.09665e-01   2.98861e-04   1.99109e-01
-   2  sg_p1        2.62317e+01   4.05359e-01   1.03806e-03   5.20781e-01
-   3  sg_p2        1.65790e+00   9.33088e-02   1.46679e-04  -3.43559e-01
-   4  sg_p3        1.21792e+00   3.63707e-02   2.54500e-04  -7.10248e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.678e-01 -5.327e-03  9.198e-03 -3.807e-03 
- -5.327e-03  1.645e-01  2.154e-02  8.414e-03 
-  9.198e-03  2.154e-02  8.711e-03  9.903e-04 
- -3.807e-03  8.414e-03  9.903e-04  1.323e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41838   1.000 -0.032  0.241 -0.256
-        2  0.70926  -0.032  1.000  0.569  0.570
-        3  0.62607   0.241  0.569  1.000  0.292
-        4  0.61881  -0.256  0.570  0.292  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-815.934 +- 0.409665
-26.2317 +- 0.405359
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28612.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -3.00114e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.67115e+02
-   3  sg_p2        1.20214e+00   5.00000e-01   0.00000e+00   4.55233e+01
-   4  sg_p3        1.18762e+00   7.00000e-01  -7.21725e-01   3.91659e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.9336e-01  9.8220e-01  1.9260e+00  1.9851e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.895346 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         216 TOTAL
-                     EDM=0.158425    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12468e+02   1.41859e+00   1.44554e-03   6.97099e+00
-   2  sg_p1        2.52532e+01   1.08302e+00   4.75756e-03  -1.78654e+00
-   3  sg_p2        1.59901e+00   3.19025e-01   4.11832e-03  -4.02743e+00
-   4  sg_p3        1.18510e+00   2.53698e-02   1.13700e-04   9.82264e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00001 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=28570.4 FROM MIGRAD    STATUS=FAILED        279 CALLS         280 TOTAL
-                     EDM=10.5145    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12542e+02   1.94194e+01  -0.00000e+00   1.21944e+01
-   2  sg_p1        2.53088e+01   4.51787e+00  -0.00000e+00   3.98569e-01
-   3  sg_p2        1.61558e+00   1.51911e+00   0.00000e+00  -5.79777e+00
-   4  sg_p3        1.18237e+00   1.70381e+00  -0.00000e+00   1.97176e+02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.468e+02  5.233e-03  1.508e-03  6.862e-04 
-  5.233e-03  2.418e+01 -1.914e-04  5.328e-04 
-  1.508e-03 -1.914e-04  2.734e+00  1.653e-04 
-  6.862e-04  5.328e-04  1.653e-04  3.439e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00007   1.000  0.000  0.000  0.000
-        2  0.00008   0.000  1.000 -0.000  0.000
-        3  0.00007   0.000 -0.000  1.000  0.000
-        4  0.00008   0.000  0.000  0.000  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2546e+02 -1.0036e+01  1.2036e+01  1.2746e+02
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 125.585418 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         305 TOTAL
-                     EDM=0.206098    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.12542e+02   3.32392e-02   4.24522e-04   8.48346e-02
-   2  sg_p1        2.53088e+01   5.64200e-01   1.39644e-03   3.83861e-01
-   3  sg_p2        1.61558e+00   1.70424e-01   1.23980e-03  -3.61595e-01
-   4  sg_p3        1.18237e+00   2.19991e-04   3.58849e-04  -7.23724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.105e-03 -1.843e-03  5.571e-04  6.264e-07 
- -1.843e-03  3.190e-01 -9.625e-02  1.380e-06 
-  5.571e-04 -9.625e-02  2.910e-02 -4.175e-07 
-  6.264e-07  1.380e-06 -4.175e-07  4.840e-08 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.13108   1.000 -0.098  0.098  0.086
-        2  0.99899  -0.098  1.000 -0.999  0.011
-        3  0.99899   0.098 -0.999  1.000 -0.011
-        4  0.08788   0.086  0.011 -0.011  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-812.542 +- 0.0332392
-25.3088 +- 0.5642
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28766.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -7.66248e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -9.03266e+01
-   3  sg_p2        1.08494e+00   5.00000e-01   0.00000e+00   1.09698e+02
-   4  sg_p3        1.05971e+00   7.00000e-01  -7.71521e-01  -1.09172e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=5.14966e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14565e+02   4.05653e-01   1.46940e-03   3.96359e-01
-   2  sg_p1        2.60283e+01   3.68198e-01   5.02230e-03   5.50486e-02
-   3  sg_p2        1.66109e+00   7.22853e-02   3.19557e-03   8.70441e-02
-   4  sg_p3        1.18488e+00   3.46494e-02   1.22798e-03  -1.02684e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.646e-01 -2.497e-02  3.759e-03 -4.697e-03 
- -2.497e-02  1.357e-01  1.103e-02  7.081e-03 
-  3.759e-03  1.103e-02  5.227e-03  5.271e-04 
- -4.697e-03  7.081e-03  5.271e-04  1.201e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39503   1.000 -0.167  0.128 -0.334
-        2  0.63439  -0.167  1.000  0.414  0.555
-        3  0.46146   0.128  0.414  1.000  0.210
-        4  0.60729  -0.334  0.555  0.210  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=5.16859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14565e+02   4.05931e-01   2.93880e-04   1.52758e-01
-   2  sg_p1        2.60283e+01   3.69660e-01   2.00892e-04   4.89788e-01
-   3  sg_p2        1.66109e+00   7.24828e-02   1.27823e-04  -3.42202e-01
-   4  sg_p3        1.18488e+00   3.47387e-02   4.91192e-05  -7.22769e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.648e-01 -2.523e-02  3.775e-03 -4.720e-03 
- -2.523e-02  1.368e-01  1.122e-02  7.167e-03 
-  3.775e-03  1.122e-02  5.255e-03  5.394e-04 
- -4.720e-03  7.167e-03  5.394e-04  1.207e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39649   1.000 -0.168  0.128 -0.335
-        2  0.63810  -0.168  1.000  0.419  0.558
-        3  0.46606   0.128  0.419  1.000  0.214
-        4  0.60995  -0.335  0.558  0.214  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.565 +- 0.405931
-26.0283 +- 0.36966
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29348.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -6.36592e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.83918e+02
-   3  sg_p2        1.15597e+00   5.00000e-01   0.00000e+00   8.24903e+01
-   4  sg_p3        1.21818e+00   7.00000e-01  -7.10151e-01   3.68287e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.20841e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14234e+02   3.90817e-01   1.43143e-03  -2.25892e-01
-   2  sg_p1        2.55644e+01   3.48997e-01   4.72433e-03   4.76414e-02
-   3  sg_p2        1.70026e+00   7.24860e-02   3.26136e-03  -2.01102e-02
-   4  sg_p3        1.19325e+00   3.43060e-02   1.23128e-03  -1.60765e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.527e-01 -2.472e-02  3.207e-03 -4.545e-03 
- -2.472e-02  1.219e-01  9.868e-03  6.557e-03 
-  3.207e-03  9.868e-03  5.256e-03  4.874e-04 
- -4.545e-03  6.557e-03  4.874e-04  1.177e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39017   1.000 -0.181  0.113 -0.339
-        2  0.62081  -0.181  1.000  0.390  0.547
-        3  0.43378   0.113  0.390  1.000  0.196
-        4  0.60004  -0.339  0.547  0.196  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=1.20945e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14234e+02   3.91082e-01   2.86287e-04   1.41589e-01
-   2  sg_p1        2.55644e+01   3.50246e-01   1.88973e-04   4.20910e-01
-   3  sg_p2        1.70026e+00   7.26609e-02   1.30454e-04  -3.25619e-01
-   4  sg_p3        1.19325e+00   3.43857e-02   4.92513e-05  -7.19583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.530e-01 -2.496e-02  3.222e-03 -4.567e-03 
- -2.496e-02  1.228e-01  1.004e-02  6.630e-03 
-  3.222e-03  1.004e-02  5.281e-03  4.983e-04 
- -4.567e-03  6.630e-03  4.983e-04  1.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39164   1.000 -0.182  0.113 -0.340
-        2  0.62433  -0.182  1.000  0.394  0.550
-        3  0.43823   0.113  0.394  1.000  0.199
-        4  0.60250  -0.340  0.550  0.199  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.234 +- 0.391082
-25.5644 +- 0.350246
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26933.9 FROM MIGRAD    STATUS=INITIATE       65 CALLS          66 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.02085e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -6.48182e+01
-   3  sg_p2        1.12090e+00   5.00000e-01   0.00000e+00   8.31490e+01
-   4  sg_p3        1.00741e+00   7.00000e-01  -7.92584e-01  -3.93256e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM MIGRAD    STATUS=CONVERGED     255 CALLS         256 TOTAL
-                     EDM=5.05705e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14343e+02   4.13939e-01   1.45196e-03  -9.37591e-03
-   2  sg_p1        2.58276e+01   3.73340e-01   4.89042e-03   1.50340e-02
-   3  sg_p2        1.67484e+00   7.48885e-02   3.20560e-03  -1.09220e-03
-   4  sg_p3        1.19229e+00   3.59871e-02   1.23468e-03  -4.69920e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.714e-01 -2.629e-02  3.837e-03 -4.978e-03 
- -2.629e-02  1.395e-01  1.135e-02  7.403e-03 
-  3.837e-03  1.135e-02  5.610e-03  5.519e-04 
- -4.978e-03  7.403e-03  5.519e-04  1.295e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39181   1.000 -0.170  0.124 -0.334
-        2  0.62863  -0.170  1.000  0.406  0.551
-        3  0.45181   0.124  0.406  1.000  0.205
-        4  0.60326  -0.334  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM HESSE     STATUS=OK             23 CALLS         279 TOTAL
-                     EDM=5.06656e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14343e+02   4.14229e-01   5.80783e-05   1.45269e-01
-   2  sg_p1        2.58276e+01   3.74765e-01   1.95617e-04   4.59703e-01
-   3  sg_p2        1.67484e+00   7.50817e-02   1.28224e-04  -3.36369e-01
-   4  sg_p3        1.19229e+00   3.60762e-02   4.93874e-05  -7.19948e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.716e-01 -2.658e-02  3.854e-03 -5.003e-03 
- -2.658e-02  1.406e-01  1.154e-02  7.491e-03 
-  3.854e-03  1.154e-02  5.639e-03  5.644e-04 
- -5.003e-03  7.491e-03  5.644e-04  1.302e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39332   1.000 -0.171  0.124 -0.335
-        2  0.63227  -0.171  1.000  0.410  0.554
-        3  0.45629   0.124  0.410  1.000  0.208
-        4  0.60585  -0.335  0.554  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.343 +- 0.414229
-25.8276 +- 0.374765
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31351.8 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -9.46989e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.83441e+01
-   3  sg_p2        1.10816e+00   5.00000e-01   0.00000e+00   1.09432e+02
-   4  sg_p3        1.01312e+00   7.00000e-01  -7.90261e-01  -4.08568e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM MIGRAD    STATUS=CONVERGED     190 CALLS         191 TOTAL
-                     EDM=0.000282451    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14404e+02   3.84308e-01   1.45349e-03  -2.57491e-01
-   2  sg_p1        2.58356e+01   3.46779e-01   4.90055e-03  -2.87296e-01
-   3  sg_p2        1.67287e+00   6.92592e-02   3.19853e-03   5.88350e-01
-   4  sg_p3        1.19029e+00   3.33252e-02   1.23266e-03   1.10421e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.477e-01 -2.290e-02  3.276e-03 -4.302e-03 
- -2.290e-02  1.204e-01  9.759e-03  6.385e-03 
-  3.276e-03  9.759e-03  4.798e-03  4.745e-04 
- -4.302e-03  6.385e-03  4.745e-04  1.111e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39330   1.000 -0.172  0.123 -0.336
-        2  0.62986  -0.172  1.000  0.406  0.552
-        3  0.45226   0.123  0.406  1.000  0.206
-        4  0.60490  -0.336  0.552  0.206  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM HESSE     STATUS=OK             23 CALLS         214 TOTAL
-                     EDM=0.000282194    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14404e+02   3.84550e-01   2.90698e-04   1.47348e-01
-   2  sg_p1        2.58356e+01   3.47902e-01   9.80110e-04   4.60888e-01
-   3  sg_p2        1.67287e+00   6.94090e-02   6.39706e-04  -3.37208e-01
-   4  sg_p3        1.19029e+00   3.33968e-02   4.93065e-05  -7.20709e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.479e-01 -2.313e-02  3.287e-03 -4.322e-03 
- -2.313e-02  1.211e-01  9.898e-03  6.450e-03 
-  3.287e-03  9.898e-03  4.819e-03  4.836e-04 
- -4.322e-03  6.450e-03  4.836e-04  1.115e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39464   1.000 -0.173  0.123 -0.336
-        2  0.63294  -0.173  1.000  0.410  0.555
-        3  0.45602   0.123  0.410  1.000  0.209
-        4  0.60714  -0.336  0.555  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.404 +- 0.38455
-25.8356 +- 0.347902
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 814.374 +- 0.398978 (stat) - 1.83178 + 1.56012 (syst); -1.84261/+1.57282 (total)
-   Uncertainty on sg_p1 = 25.8336 +- 0.36113 (stat) - 0.524827 + 0.398085 (syst); -0.55502/+0.437122 (total)
-   Uncertainty on sg_p2 = 1.67359 +- 0.0721418 (stat) - 0.0580086 + 0.0266696 (syst); -0.0683089/+0.0448595 (total)
-   Uncertainty on sg_p3 = 1.19124 +- 0.0346971 (stat) - 0.00886586 + 0.0266863 (syst); -0.0194827/+0.0318297 (total)
-   === Baseline plot === </br>
-   norm = 217.194
-JEC     lnN   1.00978  -
-JER     lnN   1.01239  -
-btag    lnN   1.07603  -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
deleted file mode 100644
index 8dcb6e3..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 3.02578e-05  -3.02578e-05/+2.99997  (68% CL)
-nll S+B -> -0.00095757  nll B -> -0.000957607
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
deleted file mode 100644
index 24b7555..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 7.075405:	q_mu = 3.85118	q_A  = 3.84714	CLsb = 0.02486	CLb  = 0.49959	CLs  = 0.04975
-
- -- Asymptotic -- 
-Observed Limit: r < 7.0754
-Expected  2.5%: r < 3.6716
-Expected 16.0%: r < 4.9683
-Expected 50.0%: r < 7.0938
-Expected 84.0%: r < 10.2889
-Expected 97.5%: r < 14.4757
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
deleted file mode 100644
index 893f9c6..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.34388 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07603    -
-JER       lnN     1.01239   - 
-JEC       lnN     1.00978   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02582057265   -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/pdf.log
deleted file mode 100644
index 5c6918c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=11.654 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=8.09882e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.23667e+01   1.57858e+00   2.28932e-03  -7.62719e-04
-   2  Mean         9.96794e-01   3.97718e-03   5.94251e-06   1.30367e-01
-   3  Sigma        2.58206e-02   3.15532e-03   5.93010e-05  -1.75592e-02
-0.996794053439 +/- 0.00397717769168
-0.0258205726549 +/- 0.00315531854748
-PDF lnN 1.02582057265
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/signal800_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/signal800_sig.log
deleted file mode 100644
index 9bb688f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_800_novo_550_1200/signal800_sig.log
+++ /dev/null
@@ -1,986 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30655.7 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -1.30426e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -1.66737e+02
-   3  sg_p2        2.94124e+00   5.00000e-01   0.00000e+00  -1.49475e-01
-   4  sg_p3        1.57852e+00   7.00000e-01  -5.81159e-01   2.58563e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM MIGRAD    STATUS=CONVERGED     151 CALLS         152 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   1.11551e-01
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   1.05806e-01
-   3  sg_p2        4.91276e+00   3.42658e+00  -3.03050e-03   0.00000e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -1.47920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM HESSE     STATUS=FAILED          7 CALLS         159 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   8.63427e-03
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   2.27549e-01
-   3  sg_p2        4.30353e+00   3.12197e+00  -3.03050e-03   1.30584e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -4.65886e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-790.259 +- 0.537023
-40.3199 +- 0.416552
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30957.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -4.59580e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -2.30328e+02
-   3  sg_p2        1.77977e+00   5.00000e-01   0.00000e+00   5.54337e-01
-   4  sg_p3        1.71207e+00   7.00000e-01  -5.36159e-01   1.57191e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02296 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.52673e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57072e-01   2.22239e-03   2.71391e-03
-   2  sg_p1        4.08795e+01   4.57494e-01   4.30357e-03   8.95731e-02
-   3  sg_p2        2.60706e+00   9.43716e-01   4.61396e-02  -1.14830e-02
-   4  sg_p3        1.95465e+00   1.29415e-01   4.57004e-03  -4.88228e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02637 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM MIGRAD    STATUS=CONVERGED     377 CALLS         378 TOTAL
-                     EDM=5.46872e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57319e-01   8.88956e-04  -1.24563e-04
-   2  sg_p1        4.08783e+01   4.58216e-01   1.72143e-03  -1.67615e-04
-   3  sg_p2        2.61137e+00   9.86696e-01   4.70300e-02  -5.75769e-03
-   4  sg_p3        1.95475e+00   1.29727e-01   1.82801e-03   4.70590e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.106e-01 -1.282e-02  1.973e-11 -1.514e-02 
- -1.282e-02  2.101e-01 -3.231e-10  2.168e-02 
-  1.973e-11 -3.231e-10  1.029e+00 -3.334e-11 
- -1.514e-02  2.168e-02 -3.334e-11  1.684e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21127   1.000 -0.050  0.000 -0.209
-        2  0.36542  -0.050  1.000 -0.000  0.364
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.41162  -0.209  0.364 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             29 CALLS         407 TOTAL
-                     EDM=1.45739e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.93825e+02   5.57488e-01   3.55582e-05   1.27840e-01
-   2  sg_p1        4.08783e+01   4.58705e-01   6.88571e-05   2.73664e-01
-   3  sg_p2        2.61137e+00   3.15165e-01   3.77936e-01   4.45612e-02
-   4  sg_p3        1.95475e+00   1.29897e-01   7.31206e-05  -4.57269e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.108e-01 -1.327e-02  9.363e-11 -1.527e-02 
- -1.327e-02  2.105e-01 -6.593e-11  2.188e-02 
-  9.363e-11 -6.593e-11  9.986e-02  1.258e-11 
- -1.527e-02  2.188e-02  1.258e-11  1.688e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21263   1.000 -0.052  0.000 -0.211
-        2  0.36794  -0.052  1.000 -0.000  0.367
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.41424  -0.211  0.367  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-793.825 +- 0.557488
-40.8783 +- 0.458705
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30291.5 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00   1.95885e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -7.27088e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -9.73752e-02
-   4  sg_p3        1.38901e+00   7.00000e-01  -6.47432e-01   2.33654e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=8.78757e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.86674e+02   5.58720e-01   2.15921e-03  -1.99988e-01
-   2  sg_p1        4.00594e+01   4.59169e-01   4.05661e-03   3.84165e-02
-   3  sg_p2        2.51479e+00   3.25925e-01   2.03755e-02   4.90232e-02
-   4  sg_p3        1.92655e+00   1.49829e-01   4.93143e-03   8.21834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.122e-01 -3.425e-02  1.692e-03 -2.360e-02 
- -3.425e-02  2.109e-01  3.630e-03  2.988e-02 
-  1.692e-03  3.630e-03  1.068e-01  4.290e-04 
- -2.360e-02  2.988e-02  4.290e-04  2.247e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28235   1.000 -0.133  0.009 -0.282
-        2  0.43476  -0.133  1.000  0.024  0.434
-        3  0.02730   0.009  0.024  1.000  0.009
-        4  0.48938  -0.282  0.434  0.009  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM HESSE     STATUS=OK             33 CALLS         196 TOTAL
-                     EDM=6.62467e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.86674e+02   5.59678e-01   4.31843e-04  -1.11107e-01
-   2  sg_p1        4.00594e+01   4.61116e-01   1.62264e-04   2.06214e-01
-   3  sg_p2        2.51479e+00   2.22927e-01   4.53587e-01   5.91504e-03
-   4  sg_p3        1.92655e+00   1.50658e-01   1.97257e-04  -4.66270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.133e-01 -3.601e-02  1.955e-04 -2.426e-02 
- -3.601e-02  2.127e-01  4.139e-04  3.075e-02 
-  1.955e-04  4.139e-04  4.983e-02  4.614e-05 
- -2.426e-02  3.075e-02  4.614e-05  2.272e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28788   1.000 -0.140  0.002 -0.288
-        2  0.44255  -0.140  1.000  0.004  0.442
-        3  0.00456   0.002  0.004  1.000  0.001
-        4  0.49768  -0.288  0.442  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-786.674 +- 0.559678
-40.0594 +- 0.461116
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29080.5 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.86811e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.59388e+01
-   3  sg_p2        1.11453e+00   5.00000e-01   0.00000e+00   1.02248e+02
-   4  sg_p3        1.01032e+00   7.00000e-01  -7.91400e-01  -4.01707e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=2.80961e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14374e+02   3.98724e-01   1.45304e-03  -1.70387e-01
-   2  sg_p1        2.58336e+01   3.59782e-01   4.89449e-03   8.13003e-02
-   3  sg_p2        1.67359e+00   7.19571e-02   3.19487e-03   5.88230e-02
-   4  sg_p3        1.19124e+00   3.46142e-02   1.23219e-03  -4.28854e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.590e-01 -2.453e-02  3.541e-03 -4.624e-03 
- -2.453e-02  1.296e-01  1.051e-02  6.871e-03 
-  3.541e-03  1.051e-02  5.179e-03  5.110e-04 
- -4.624e-03  6.871e-03  5.110e-04  1.198e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39250   1.000 -0.171  0.123 -0.335
-        2  0.62921  -0.171  1.000  0.406  0.551
-        3  0.45197   0.123  0.406  1.000  0.205
-        4  0.60406  -0.335  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM HESSE     STATUS=OK             23 CALLS         232 TOTAL
-                     EDM=2.80811e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14374e+02   3.98978e-01   2.90608e-04   1.46314e-01
-   2  sg_p1        2.58336e+01   3.61130e-01   1.95780e-04   4.60594e-01
-   3  sg_p2        1.67359e+00   7.21418e-02   1.27795e-04  -3.36900e-01
-   4  sg_p3        1.19124e+00   3.46971e-02   2.46437e-04  -7.20348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.592e-01 -2.477e-02  3.557e-03 -4.644e-03 
- -2.477e-02  1.305e-01  1.069e-02  6.950e-03 
-  3.557e-03  1.069e-02  5.206e-03  5.225e-04 
- -4.644e-03  6.950e-03  5.225e-04  1.204e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39387   1.000 -0.172  0.124 -0.335
-        2  0.63278  -0.172  1.000  0.410  0.554
-        3  0.45643   0.124  0.410  1.000  0.209
-        4  0.60656  -0.335  0.554  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.374 +- 0.398978
-25.8336 +- 0.36113
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29394.8 FROM MIGRAD    STATUS=INITIATE       76 CALLS          77 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.09344e+02   6.00000e+00   0.00000e+00  -9.04905e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.79169e+02
-   3  sg_p2        1.02066e+00   5.00000e-01   0.00000e+00   2.33092e+02
-   4  sg_p3        1.24736e+00   7.00000e-01  -6.99207e-01   3.18929e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM MIGRAD    STATUS=CONVERGED     227 CALLS         228 TOTAL
-                     EDM=6.02107e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.15934e+02   4.09344e-01   1.49430e-03  -1.08719e-01
-   2  sg_p1        2.62317e+01   4.03039e-01   5.19030e-03   1.33417e-01
-   3  sg_p2        1.65790e+00   9.28346e-02   3.66697e-03   4.58391e-02
-   4  sg_p3        1.21792e+00   3.62585e-02   1.27250e-03  -4.88031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.676e-01 -5.450e-03  9.103e-03 -3.808e-03 
- -5.450e-03  1.626e-01  2.111e-02  8.287e-03 
-  9.103e-03  2.111e-02  8.623e-03  9.650e-04 
- -3.808e-03  8.287e-03  9.650e-04  1.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41684   1.000 -0.033  0.239 -0.257
-        2  0.70520  -0.033  1.000  0.564  0.567
-        3  0.62110   0.239  0.564  1.000  0.287
-        4  0.61571  -0.257  0.567  0.287  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM HESSE     STATUS=OK             23 CALLS         251 TOTAL
-                     EDM=6.06559e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.15934e+02   4.09665e-01   2.98861e-04   1.99109e-01
-   2  sg_p1        2.62317e+01   4.05359e-01   1.03806e-03   5.20781e-01
-   3  sg_p2        1.65790e+00   9.33088e-02   1.46679e-04  -3.43559e-01
-   4  sg_p3        1.21792e+00   3.63707e-02   2.54500e-04  -7.10248e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.678e-01 -5.327e-03  9.198e-03 -3.807e-03 
- -5.327e-03  1.645e-01  2.154e-02  8.414e-03 
-  9.198e-03  2.154e-02  8.711e-03  9.903e-04 
- -3.807e-03  8.414e-03  9.903e-04  1.323e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41838   1.000 -0.032  0.241 -0.256
-        2  0.70926  -0.032  1.000  0.569  0.570
-        3  0.62607   0.241  0.569  1.000  0.292
-        4  0.61881  -0.256  0.570  0.292  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-815.934 +- 0.409665
-26.2317 +- 0.405359
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28612.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -3.00114e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.67115e+02
-   3  sg_p2        1.20214e+00   5.00000e-01   0.00000e+00   4.55233e+01
-   4  sg_p3        1.18762e+00   7.00000e-01  -7.21725e-01   3.91659e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.9336e-01  9.8220e-01  1.9260e+00  1.9851e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.895346 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         216 TOTAL
-                     EDM=0.158425    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12468e+02   1.41859e+00   1.44554e-03   6.97099e+00
-   2  sg_p1        2.52532e+01   1.08302e+00   4.75756e-03  -1.78654e+00
-   3  sg_p2        1.59901e+00   3.19025e-01   4.11832e-03  -4.02743e+00
-   4  sg_p3        1.18510e+00   2.53698e-02   1.13700e-04   9.82264e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00001 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=28570.4 FROM MIGRAD    STATUS=FAILED        279 CALLS         280 TOTAL
-                     EDM=10.5145    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12542e+02   1.94194e+01  -0.00000e+00   1.21944e+01
-   2  sg_p1        2.53088e+01   4.51787e+00  -0.00000e+00   3.98569e-01
-   3  sg_p2        1.61558e+00   1.51911e+00   0.00000e+00  -5.79777e+00
-   4  sg_p3        1.18237e+00   1.70381e+00  -0.00000e+00   1.97176e+02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.468e+02  5.233e-03  1.508e-03  6.862e-04 
-  5.233e-03  2.418e+01 -1.914e-04  5.328e-04 
-  1.508e-03 -1.914e-04  2.734e+00  1.653e-04 
-  6.862e-04  5.328e-04  1.653e-04  3.439e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00007   1.000  0.000  0.000  0.000
-        2  0.00008   0.000  1.000 -0.000  0.000
-        3  0.00007   0.000 -0.000  1.000  0.000
-        4  0.00008   0.000  0.000  0.000  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2546e+02 -1.0036e+01  1.2036e+01  1.2746e+02
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 125.585418 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         305 TOTAL
-                     EDM=0.206098    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.12542e+02   3.32392e-02   4.24522e-04   8.48346e-02
-   2  sg_p1        2.53088e+01   5.64200e-01   1.39644e-03   3.83861e-01
-   3  sg_p2        1.61558e+00   1.70424e-01   1.23980e-03  -3.61595e-01
-   4  sg_p3        1.18237e+00   2.19991e-04   3.58849e-04  -7.23724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.105e-03 -1.843e-03  5.571e-04  6.264e-07 
- -1.843e-03  3.190e-01 -9.625e-02  1.380e-06 
-  5.571e-04 -9.625e-02  2.910e-02 -4.175e-07 
-  6.264e-07  1.380e-06 -4.175e-07  4.840e-08 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.13108   1.000 -0.098  0.098  0.086
-        2  0.99899  -0.098  1.000 -0.999  0.011
-        3  0.99899   0.098 -0.999  1.000 -0.011
-        4  0.08788   0.086  0.011 -0.011  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-812.542 +- 0.0332392
-25.3088 +- 0.5642
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28766.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -7.66248e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -9.03266e+01
-   3  sg_p2        1.08494e+00   5.00000e-01   0.00000e+00   1.09698e+02
-   4  sg_p3        1.05971e+00   7.00000e-01  -7.71521e-01  -1.09172e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=5.14966e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14565e+02   4.05653e-01   1.46940e-03   3.96359e-01
-   2  sg_p1        2.60283e+01   3.68198e-01   5.02230e-03   5.50486e-02
-   3  sg_p2        1.66109e+00   7.22853e-02   3.19557e-03   8.70441e-02
-   4  sg_p3        1.18488e+00   3.46494e-02   1.22798e-03  -1.02684e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.646e-01 -2.497e-02  3.759e-03 -4.697e-03 
- -2.497e-02  1.357e-01  1.103e-02  7.081e-03 
-  3.759e-03  1.103e-02  5.227e-03  5.271e-04 
- -4.697e-03  7.081e-03  5.271e-04  1.201e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39503   1.000 -0.167  0.128 -0.334
-        2  0.63439  -0.167  1.000  0.414  0.555
-        3  0.46146   0.128  0.414  1.000  0.210
-        4  0.60729  -0.334  0.555  0.210  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=5.16859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14565e+02   4.05931e-01   2.93880e-04   1.52758e-01
-   2  sg_p1        2.60283e+01   3.69660e-01   2.00892e-04   4.89788e-01
-   3  sg_p2        1.66109e+00   7.24828e-02   1.27823e-04  -3.42202e-01
-   4  sg_p3        1.18488e+00   3.47387e-02   4.91192e-05  -7.22769e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.648e-01 -2.523e-02  3.775e-03 -4.720e-03 
- -2.523e-02  1.368e-01  1.122e-02  7.167e-03 
-  3.775e-03  1.122e-02  5.255e-03  5.394e-04 
- -4.720e-03  7.167e-03  5.394e-04  1.207e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39649   1.000 -0.168  0.128 -0.335
-        2  0.63810  -0.168  1.000  0.419  0.558
-        3  0.46606   0.128  0.419  1.000  0.214
-        4  0.60995  -0.335  0.558  0.214  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.565 +- 0.405931
-26.0283 +- 0.36966
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29348.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -6.36592e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.83918e+02
-   3  sg_p2        1.15597e+00   5.00000e-01   0.00000e+00   8.24903e+01
-   4  sg_p3        1.21818e+00   7.00000e-01  -7.10151e-01   3.68287e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.20841e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14234e+02   3.90817e-01   1.43143e-03  -2.25892e-01
-   2  sg_p1        2.55644e+01   3.48997e-01   4.72433e-03   4.76414e-02
-   3  sg_p2        1.70026e+00   7.24860e-02   3.26136e-03  -2.01102e-02
-   4  sg_p3        1.19325e+00   3.43060e-02   1.23128e-03  -1.60765e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.527e-01 -2.472e-02  3.207e-03 -4.545e-03 
- -2.472e-02  1.219e-01  9.868e-03  6.557e-03 
-  3.207e-03  9.868e-03  5.256e-03  4.874e-04 
- -4.545e-03  6.557e-03  4.874e-04  1.177e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39017   1.000 -0.181  0.113 -0.339
-        2  0.62081  -0.181  1.000  0.390  0.547
-        3  0.43378   0.113  0.390  1.000  0.196
-        4  0.60004  -0.339  0.547  0.196  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=1.20945e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14234e+02   3.91082e-01   2.86287e-04   1.41589e-01
-   2  sg_p1        2.55644e+01   3.50246e-01   1.88973e-04   4.20910e-01
-   3  sg_p2        1.70026e+00   7.26609e-02   1.30454e-04  -3.25619e-01
-   4  sg_p3        1.19325e+00   3.43857e-02   4.92513e-05  -7.19583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.530e-01 -2.496e-02  3.222e-03 -4.567e-03 
- -2.496e-02  1.228e-01  1.004e-02  6.630e-03 
-  3.222e-03  1.004e-02  5.281e-03  4.983e-04 
- -4.567e-03  6.630e-03  4.983e-04  1.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39164   1.000 -0.182  0.113 -0.340
-        2  0.62433  -0.182  1.000  0.394  0.550
-        3  0.43823   0.113  0.394  1.000  0.199
-        4  0.60250  -0.340  0.550  0.199  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.234 +- 0.391082
-25.5644 +- 0.350246
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26933.9 FROM MIGRAD    STATUS=INITIATE       65 CALLS          66 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.02085e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -6.48182e+01
-   3  sg_p2        1.12090e+00   5.00000e-01   0.00000e+00   8.31490e+01
-   4  sg_p3        1.00741e+00   7.00000e-01  -7.92584e-01  -3.93256e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM MIGRAD    STATUS=CONVERGED     255 CALLS         256 TOTAL
-                     EDM=5.05705e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14343e+02   4.13939e-01   1.45196e-03  -9.37591e-03
-   2  sg_p1        2.58276e+01   3.73340e-01   4.89042e-03   1.50340e-02
-   3  sg_p2        1.67484e+00   7.48885e-02   3.20560e-03  -1.09220e-03
-   4  sg_p3        1.19229e+00   3.59871e-02   1.23468e-03  -4.69920e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.714e-01 -2.629e-02  3.837e-03 -4.978e-03 
- -2.629e-02  1.395e-01  1.135e-02  7.403e-03 
-  3.837e-03  1.135e-02  5.610e-03  5.519e-04 
- -4.978e-03  7.403e-03  5.519e-04  1.295e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39181   1.000 -0.170  0.124 -0.334
-        2  0.62863  -0.170  1.000  0.406  0.551
-        3  0.45181   0.124  0.406  1.000  0.205
-        4  0.60326  -0.334  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM HESSE     STATUS=OK             23 CALLS         279 TOTAL
-                     EDM=5.06656e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14343e+02   4.14229e-01   5.80783e-05   1.45269e-01
-   2  sg_p1        2.58276e+01   3.74765e-01   1.95617e-04   4.59703e-01
-   3  sg_p2        1.67484e+00   7.50817e-02   1.28224e-04  -3.36369e-01
-   4  sg_p3        1.19229e+00   3.60762e-02   4.93874e-05  -7.19948e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.716e-01 -2.658e-02  3.854e-03 -5.003e-03 
- -2.658e-02  1.406e-01  1.154e-02  7.491e-03 
-  3.854e-03  1.154e-02  5.639e-03  5.644e-04 
- -5.003e-03  7.491e-03  5.644e-04  1.302e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39332   1.000 -0.171  0.124 -0.335
-        2  0.63227  -0.171  1.000  0.410  0.554
-        3  0.45629   0.124  0.410  1.000  0.208
-        4  0.60585  -0.335  0.554  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.343 +- 0.414229
-25.8276 +- 0.374765
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31351.8 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -9.46989e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.83441e+01
-   3  sg_p2        1.10816e+00   5.00000e-01   0.00000e+00   1.09432e+02
-   4  sg_p3        1.01312e+00   7.00000e-01  -7.90261e-01  -4.08568e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM MIGRAD    STATUS=CONVERGED     190 CALLS         191 TOTAL
-                     EDM=0.000282451    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14404e+02   3.84308e-01   1.45349e-03  -2.57491e-01
-   2  sg_p1        2.58356e+01   3.46779e-01   4.90055e-03  -2.87296e-01
-   3  sg_p2        1.67287e+00   6.92592e-02   3.19853e-03   5.88350e-01
-   4  sg_p3        1.19029e+00   3.33252e-02   1.23266e-03   1.10421e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.477e-01 -2.290e-02  3.276e-03 -4.302e-03 
- -2.290e-02  1.204e-01  9.759e-03  6.385e-03 
-  3.276e-03  9.759e-03  4.798e-03  4.745e-04 
- -4.302e-03  6.385e-03  4.745e-04  1.111e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39330   1.000 -0.172  0.123 -0.336
-        2  0.62986  -0.172  1.000  0.406  0.552
-        3  0.45226   0.123  0.406  1.000  0.206
-        4  0.60490  -0.336  0.552  0.206  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM HESSE     STATUS=OK             23 CALLS         214 TOTAL
-                     EDM=0.000282194    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14404e+02   3.84550e-01   2.90698e-04   1.47348e-01
-   2  sg_p1        2.58356e+01   3.47902e-01   9.80110e-04   4.60888e-01
-   3  sg_p2        1.67287e+00   6.94090e-02   6.39706e-04  -3.37208e-01
-   4  sg_p3        1.19029e+00   3.33968e-02   4.93065e-05  -7.20709e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.479e-01 -2.313e-02  3.287e-03 -4.322e-03 
- -2.313e-02  1.211e-01  9.898e-03  6.450e-03 
-  3.287e-03  9.898e-03  4.819e-03  4.836e-04 
- -4.322e-03  6.450e-03  4.836e-04  1.115e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39464   1.000 -0.173  0.123 -0.336
-        2  0.63294  -0.173  1.000  0.410  0.555
-        3  0.45602   0.123  0.410  1.000  0.209
-        4  0.60714  -0.336  0.555  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.404 +- 0.38455
-25.8356 +- 0.347902
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 814.374 +- 0.398978 (stat) - 1.83178 + 1.56012 (syst); -1.84261/+1.57282 (total)
-   Uncertainty on sg_p1 = 25.8336 +- 0.36113 (stat) - 0.524827 + 0.398085 (syst); -0.55502/+0.437122 (total)
-   Uncertainty on sg_p2 = 1.67359 +- 0.0721418 (stat) - 0.0580086 + 0.0266696 (syst); -0.0683089/+0.0448595 (total)
-   Uncertainty on sg_p3 = 1.19124 +- 0.0346971 (stat) - 0.00886586 + 0.0266863 (syst); -0.0194827/+0.0318297 (total)
-   === Baseline plot === </br>
-   norm = 217.194
-JEC     lnN   1.00978  -
-JER     lnN   1.01239  -
-btag    lnN   1.07603  -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
deleted file mode 100644
index 2c2f181..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,7 +0,0 @@
-Error in <ROOT::Math::FReal time 0:00:00, CP time 0.100
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000455659  -0.000455659/+2.99954  (68% CL)
-nll S+B -> -1.23571e-05  nll B -> -1.23598e-05
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
deleted file mode 100644
index dd5626f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 5.441680:	q_mu = 3.82718	q_A  = 3.82595	CLsb = 0.02521	CLb  = 0.49987	CLs  = 0.05044
-
- -- Asymptotic -- 
-Observed Limit: r < 5.4417
-Expected  2.5%: r < 2.8224
-Expected 16.0%: r < 3.8192
-Expected 50.0%: r < 5.4531
-Expected 84.0%: r < 7.9528
-Expected 97.5%: r < 11.2225
-
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt
deleted file mode 100644
index 1da177d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,30 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.64156 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.0799    -
-JER       lnN     1.01164   - 
-JEC       lnN     1.00857   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02549102587   -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/pdf.log
deleted file mode 100644
index d309f86..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.6412 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.32214e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.20921e+01   1.56255e+00   2.43180e-03   2.41961e-04
-   2  Mean         9.98237e-01   3.72269e-03   6.33611e-06  -4.15570e-02
-   3  Sigma        2.54910e-02   2.98572e-03   6.27464e-05  -4.89863e-03
-0.998236892348 +/- 0.00372268649896
-0.0254910258695 +/- 0.00298571979086
-PDF lnN 1.02549102587
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/signal900_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/signal900_sig.log
deleted file mode 100644
index d4cc812..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_crystal_1_550_1200/signal900_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33664.2 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.87024e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   1.70564e+01
-   3  sg_p2        8.67563e-01   5.00000e-01   0.00000e+00   3.77923e+02
-   4  sg_p3        1.75058e+00   7.00000e-01  -5.23409e-01  -9.51811e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.14138 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             27 CALLS         373 TOTAL
-                     EDM=0.00332624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18636e-01   1.26596e-03   7.76547e-02
-   2  sg_p1        4.38895e+01   5.43360e-01   3.99187e-03   5.04266e-02
-   3  sg_p2        2.61266e+00   9.39365e-01   6.28602e-02  -2.11368e-01
-   4  sg_p3        1.68218e+00   9.36801e-02   3.16921e-03   5.53803e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33371.1 FROM MIGRAD    STATUS=CONVERGED     386 CALLS         387 TOTAL
-                     EDM=8.86352e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18635e-01   1.67624e-06  -3.95438e-03
-   2  sg_p1        4.38881e+01   5.43356e-01  -9.98687e-05  -6.98133e-04
-   3  sg_p2        2.69108e+00   9.37644e-01   3.14301e-02  -2.30056e-05
-   4  sg_p3        1.68195e+00   9.36715e-02  -7.67431e-05  -4.02566e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.827e-01 -6.502e-02 -5.811e-05 -2.090e-02 
- -6.502e-02  2.954e-01  5.476e-04  2.735e-02 
- -5.811e-05  5.476e-04  9.241e-01  1.376e-04 
- -2.090e-02  2.735e-02  1.376e-04  8.777e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36054   1.000 -0.193 -0.000 -0.361
-        2  0.53708  -0.193  1.000  0.001  0.537
-        3  0.00163  -0.000  0.001  1.000  0.002
-        4  0.59741  -0.361  0.537  0.002  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             29 CALLS         416 TOTAL
-                     EDM=5.60701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.87145e+02   6.19206e-01   1.26598e-03   2.89787e-01
-   2  sg_p1        4.38881e+01   5.44560e-01   1.59675e-03   2.62200e-01
-   3  sg_p2        2.69108e+00   3.66223e+00   4.86437e-02   7.65081e-02
-   4  sg_p3        1.68195e+00   9.38964e-02   1.26768e-03  -5.46198e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.834e-01 -6.608e-02  9.504e-07 -2.110e-02 
- -6.608e-02  2.967e-01  4.698e-06  2.763e-02 
-  9.504e-07  4.698e-06  6.569e+03  3.565e-07 
- -2.110e-02  2.763e-02  3.565e-07  8.819e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36280   1.000 -0.196  0.000 -0.363
-        2  0.54009  -0.196  1.000  0.000  0.540
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.60032  -0.363  0.540  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-887.145 +- 0.619206
-43.8881 +- 0.54456
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33829.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.37162e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   7.33519e+01
-   3  sg_p2        5.87771e-01   5.00000e-01  -8.70873e-01   9.57906e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.46120e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00007 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             25 CALLS         331 TOTAL
-                     EDM=0.315109    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91582e+02   6.17824e-01   1.32224e-03  -7.77130e-01
-   2  sg_p1        4.40907e+01   5.43395e-01   4.14838e-03   2.19978e+00
-   3  sg_p2        2.59937e+00   4.57998e-01   2.91245e-01  -4.28319e+00
-   4  sg_p3        1.56794e+00   6.89875e-02   2.49674e-03  -3.53414e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33473.2 FROM MIGRAD    STATUS=CONVERGED     344 CALLS         345 TOTAL
-                     EDM=1.81644e-07    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91593e+02   6.17785e-01   1.97446e-04  -3.22562e-02
-   2  sg_p1        4.40472e+01   5.43856e-01  -3.01296e-03  -7.86524e-03
-   3  sg_p2        2.96080e+00   4.50508e-01   1.45623e-01   0.00000e+00
-   4  sg_p3        1.56553e+00   6.89514e-02  -8.25067e-04   1.93280e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.817e-01 -4.853e-02  1.606e-04 -1.348e-02 
- -4.853e-02  2.959e-01  6.495e-06  1.836e-02 
-  1.606e-04  6.495e-06  2.053e-01 -1.663e-05 
- -1.348e-02  1.836e-02 -1.663e-05  4.755e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31670   1.000 -0.144  0.001 -0.316
-        2  0.48950  -0.144  1.000  0.000  0.489
-        3  0.00076   0.001  0.000  1.000 -0.001
-        4  0.54881  -0.316  0.489 -0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             31 CALLS         376 TOTAL
-                     EDM=1.33661    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.91593e+02   6.18180e-01   1.32251e-03   3.68142e-01
-   2  sg_p1        4.40472e+01   5.43127e-01   4.14931e-03   2.73201e-01
-   3  sg_p2        2.96080e+00   5.37583e-01   5.10000e-01   1.85380e-01
-   4  sg_p3        1.56553e+00   6.89873e-02   9.98698e-04  -5.85607e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.822e-01 -4.972e-02 -6.585e-12 -1.366e-02 
- -4.972e-02  2.951e-01  2.406e-12  1.846e-02 
- -6.585e-12  2.406e-12  2.937e-01  2.262e-12 
- -1.366e-02  1.846e-02  2.262e-12  4.760e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32056   1.000 -0.148 -0.000 -0.320
-        2  0.49249  -0.148  1.000  0.000  0.492
-        3  0.00000  -0.000  0.000  1.000  0.000
-        4  0.55232  -0.320  0.492  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-891.593 +- 0.61818
-44.0472 +- 0.543127
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33025.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.21902e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   3.56266e+01
-   3  sg_p2        8.48797e-01   5.00000e-01   0.00000e+00   8.71721e+00
-   4  sg_p3        1.96916e+00   7.00000e-01  -4.52685e-01   1.33827e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             31 CALLS         284 TOTAL
-                     EDM=0.000111741    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83274e+02   5.75489e-01   1.22716e-03   3.79802e-02
-   2  sg_p1        4.40176e+01   4.49467e-01   3.85966e-03  -7.57641e-02
-   3  sg_p2        2.44289e+00   2.23488e-01   1.00126e-02   8.24918e-02
-   4  sg_p3        1.81465e+00   3.14767e-02   3.33332e-03   1.27746e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=32836 FROM MIGRAD    STATUS=FAILED        321 CALLS         322 TOTAL
-                     EDM=0.034586    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  18.3 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83276e+02   5.73266e-01  -0.00000e+00   5.01334e-02
-   2  sg_p1        4.40177e+01   4.48511e-01   0.00000e+00   1.03605e-01
-   3  sg_p2        2.44263e+00   1.46331e-01  -0.00000e+00  -1.44978e-01
-   4  sg_p3        1.81329e+00   9.50131e-03   0.00000e+00  -1.27604e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.286e-01  1.600e-03 -3.893e-03 -4.127e-05 
-  1.600e-03  2.012e-01  2.014e-03  3.934e-04 
- -3.893e-03  2.014e-03  2.144e-02 -5.698e-04 
- -4.127e-05  3.934e-04 -5.698e-04  9.028e-05 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05588   1.000  0.006 -0.046 -0.008
-        2  0.11947   0.006  1.000  0.031  0.092
-        3  0.41831  -0.046  0.031  1.000 -0.410
-        4  0.42369  -0.008  0.092 -0.410  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             29 CALLS         351 TOTAL
-                     EDM=0.000104468    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.83276e+02   5.75584e-01   1.22738e-03   2.23108e-01
-   2  sg_p1        4.40177e+01   4.49699e-01   3.86131e-03   2.71159e-01
-   3  sg_p2        2.44263e+00   2.24450e-01   1.04348e-02  -2.29498e-02
-   4  sg_p3        1.81329e+00   3.18671e-02   3.32746e-03  -5.02843e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.313e-01 -1.034e-03 -3.993e-04 -1.393e-03 
- -1.034e-03  2.023e-01 -9.138e-05  1.874e-03 
- -3.993e-04 -9.138e-05  5.051e-02  1.806e-06 
- -1.393e-03  1.874e-03  1.806e-06  1.016e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.07626   1.000 -0.004 -0.003 -0.076
-        2  0.13085  -0.004  1.000 -0.001  0.131
-        3  0.00322  -0.003 -0.001  1.000  0.000
-        4  0.15092  -0.076  0.131  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-883.276 +- 0.575584
-44.0177 +- 0.449699
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31847.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.15004e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.07919e+02
-   3  sg_p2        1.34843e+00   5.00000e-01   0.00000e+00   1.01663e+02
-   4  sg_p3        1.18098e+00   7.00000e-01  -7.24255e-01  -8.67138e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.8133e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14708e+02   6.08444e-01   1.29613e-03   1.05815e-01
-   2  sg_p1        3.02451e+01   5.68219e-01   5.56289e-03   1.74811e-02
-   3  sg_p2        2.07933e+00   1.35380e-01   6.08573e-03   1.51761e-02
-   4  sg_p3        1.21527e+00   6.15917e-02   1.48479e-03   1.57009e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.702e-01 -2.155e-01 -1.002e-02 -2.676e-02 
- -2.155e-01  3.236e-01  3.008e-02  2.846e-02 
- -1.002e-02  3.008e-02  1.835e-02  2.403e-03 
- -2.676e-02  2.846e-02  2.403e-03  3.794e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.72659   1.000 -0.623 -0.122 -0.714
-        2  0.83258  -0.623  1.000  0.390  0.812
-        3  0.42083  -0.122  0.390  1.000  0.288
-        4  0.85489  -0.714  0.812  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=2.07761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14708e+02   6.37633e-01   5.18452e-05   1.17968e-01
-   2  sg_p1        3.02451e+01   6.04034e-01   2.22516e-04   3.74720e-01
-   3  sg_p2        2.07933e+00   1.39479e-01   2.43429e-04  -1.69071e-01
-   4  sg_p3        1.21527e+00   6.62844e-02   5.93916e-05  -7.11249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.066e-01 -2.540e-01 -1.389e-02 -3.139e-02 
- -2.540e-01  3.658e-01  3.536e-02  3.345e-02 
- -1.389e-02  3.536e-02  1.948e-02  2.966e-03 
- -3.139e-02  3.345e-02  2.966e-03  4.395e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75434   1.000 -0.659 -0.156 -0.743
-        2  0.85324  -0.659  1.000  0.419  0.834
-        3  0.44886  -0.156  0.419  1.000  0.321
-        4  0.87300  -0.743  0.834  0.321  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.708 +- 0.637633
-30.2451 +- 0.604034
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=32076.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.42825e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.66341e+02
-   3  sg_p2        1.24756e+00   5.00000e-01   0.00000e+00   1.32032e+02
-   4  sg_p3        1.51475e+00   7.00000e-01  -6.03120e-01   6.41643e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.2508e+00  8.3406e-01  1.1303e+00  4.2864e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 2.255047 TO DIAGONAL.
- FCN=31897 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         293 TOTAL
-                     EDM=0.00241152    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   6.95098e-01   1.30051e-03   1.46076e-01
-   2  sg_p1        3.03755e+01   3.97597e-01   5.52810e-03   7.58612e-03
-   3  sg_p2        2.27801e+00   1.55888e+00   7.81545e-03   6.54139e-02
-   4  sg_p3        1.17081e+00   2.99817e-01   1.31225e-03   1.00535e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM MIGRAD    STATUS=CONVERGED     328 CALLS         329 TOTAL
-                     EDM=0.000214971    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   4.88559e-01   1.30052e-03   3.06873e-02
-   2  sg_p1        3.03754e+01   4.10963e-01   2.21124e-03   2.67746e-02
-   3  sg_p2        2.27858e+00   1.68057e-01   3.12618e-03   1.19850e-01
-   4  sg_p3        1.17071e+00   3.83284e-02   1.31215e-03   6.94100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.387e-01 -8.067e-02  2.183e-04 -9.547e-03 
- -8.067e-02  1.691e-01  1.601e-02  9.908e-03 
-  2.183e-04  1.601e-02  2.829e-02  8.281e-04 
- -9.547e-03  9.908e-03  8.281e-04  1.469e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52820   1.000 -0.402  0.003 -0.510
-        2  0.65548  -0.402  1.000  0.231  0.629
-        3  0.25444   0.003  0.231  1.000  0.128
-        4  0.68871  -0.510  0.629  0.128  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM HESSE     STATUS=OK             23 CALLS         352 TOTAL
-                     EDM=0.000216668    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.17231e+02   4.89066e-01   5.20206e-05   1.81768e-01
-   2  sg_p1        3.03754e+01   4.11848e-01   4.42248e-04   3.93462e-01
-   3  sg_p2        2.27858e+00   1.68511e-01   6.25236e-04  -8.86838e-02
-   4  sg_p3        1.17071e+00   3.83872e-02   2.62429e-04  -7.28178e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.392e-01 -8.128e-02  1.943e-04 -9.592e-03 
- -8.128e-02  1.698e-01  1.629e-02  9.968e-03 
-  1.943e-04  1.629e-02  2.844e-02  8.443e-04 
- -9.592e-03  9.968e-03  8.443e-04  1.474e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52961   1.000 -0.403  0.002 -0.511
-        2  0.65734  -0.403  1.000  0.234  0.630
-        3  0.25774   0.002  0.234  1.000  0.130
-        4  0.68988  -0.511  0.630  0.130  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-917.231 +- 0.489066
-30.3754 +- 0.411848
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31270.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.11670e+02   8.00000e+00   4.17695e-02   1.48625e+01
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.41145e+02
-   3  sg_p2        1.45615e+00   5.00000e-01   0.00000e+00  -1.80733e+01
-   4  sg_p3        1.27355e+00   7.00000e-01   0.00000e+00   5.00168e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=1.00647e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.12666e+02   5.93671e-01   1.27735e-03   2.63765e-02
-   2  sg_p1        2.96697e+01   6.13867e-01   5.39370e-03   1.70034e-02
-   3  sg_p2        1.86746e+00   1.16178e-01   4.79471e-03   1.24233e-02
-   4  sg_p3        1.20141e+00   6.21896e-02   1.45289e-03   7.47047e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.525e-01 -2.113e-01 -9.800e-03 -2.540e-02 
- -2.113e-01  3.778e-01  3.879e-02  3.144e-02 
- -9.800e-03  3.879e-02  1.351e-02  2.946e-03 
- -2.540e-02  3.144e-02  2.946e-03  3.868e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71041   1.000 -0.579 -0.142 -0.688
-        2  0.85591  -0.579  1.000  0.543  0.822
-        3  0.58356  -0.142  0.543  1.000  0.408
-        4  0.86266  -0.688  0.822  0.408  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=1.03715e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.12666e+02   5.96901e-01   2.55470e-04   6.66929e-02
-   2  sg_p1        2.96697e+01   6.22112e-01   2.15748e-04   2.93491e-01
-   3  sg_p2        1.86746e+00   1.17183e-01   1.91788e-04  -2.55796e-01
-   4  sg_p3        1.20141e+00   6.28752e-02   5.81156e-05  -7.16489e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.563e-01 -2.172e-01 -1.053e-02 -2.596e-02 
- -2.172e-01  3.880e-01  4.037e-02  3.237e-02 
- -1.053e-02  4.037e-02  1.374e-02  3.084e-03 
- -2.596e-02  3.237e-02  3.084e-03  3.954e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71417   1.000 -0.584 -0.151 -0.692
-        2  0.86002  -0.584  1.000  0.553  0.827
-        3  0.59309  -0.151  0.553  1.000  0.418
-        4  0.86587  -0.692  0.827  0.418  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-912.666 +- 0.596901
-29.6697 +- 0.622112
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31402.8 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -6.41887e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.32609e+02
-   3  sg_p2        1.21873e+00   5.00000e-01   0.00000e+00   2.82004e+01
-   4  sg_p3        1.29003e+00   7.00000e-01  -6.83382e-01   3.00498e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM MIGRAD    STATUS=CONVERGED     202 CALLS         203 TOTAL
-                     EDM=9.20948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14895e+02   5.51583e-01   1.31460e-03   1.61689e-01
-   2  sg_p1        3.03350e+01   7.44882e-01   5.76073e-03  -3.27245e-02
-   3  sg_p2        1.86472e+00   2.01246e-01   6.02311e-03  -3.75996e-03
-   4  sg_p3        1.20817e+00   6.26611e-02   1.44547e-03   2.50672e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.043e-01 -1.559e-01 -6.728e-03 -1.871e-02 
- -1.559e-01  5.570e-01  1.146e-01  3.885e-02 
- -6.728e-03  1.146e-01  4.059e-02  7.410e-03 
- -1.871e-02  3.885e-02  7.410e-03  3.927e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63293   1.000 -0.379 -0.061 -0.541
-        2  0.89852  -0.379  1.000  0.762  0.831
-        3  0.80154  -0.061  0.762  1.000  0.587
-        4  0.86629  -0.541  0.831  0.587  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM HESSE     STATUS=OK             23 CALLS         226 TOTAL
-                     EDM=9.24142e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14895e+02   5.53867e-01   2.62920e-04   1.22682e-01
-   2  sg_p1        3.03350e+01   7.70523e-01   2.30429e-04   3.87633e-01
-   3  sg_p2        1.86472e+00   2.07594e-01   2.40925e-04  -2.56930e-01
-   4  sg_p3        1.20817e+00   6.42645e-02   5.78186e-05  -7.13930e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.068e-01 -1.637e-01 -8.469e-03 -1.930e-02 
- -1.637e-01  5.962e-01  1.248e-01  4.167e-02 
- -8.469e-03  1.248e-01  4.320e-02  8.128e-03 
- -1.930e-02  4.167e-02  8.128e-03  4.131e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63682   1.000 -0.383 -0.074 -0.542
-        2  0.90554  -0.383  1.000  0.777  0.840
-        3  0.81484  -0.074  0.777  1.000  0.608
-        4  0.87336  -0.542  0.840  0.608  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.895 +- 0.553867
-30.335 +- 0.770523
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31997 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.37823e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -7.64703e+01
-   3  sg_p2        1.30597e+00   5.00000e-01   0.00000e+00  -1.46520e+01
-   4  sg_p3        1.20892e+00   7.00000e-01  -7.13644e-01   4.56011e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM MIGRAD    STATUS=CONVERGED     187 CALLS         188 TOTAL
-                     EDM=0.000455256    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14847e+02   4.88994e-01   1.26432e-03   4.89756e-01
-   2  sg_p1        2.93287e+01   6.86296e-01   5.26048e-03   5.85295e-02
-   3  sg_p2        1.92235e+00   2.48995e-01   6.70981e-03   1.75003e-01
-   4  sg_p3        1.17091e+00   4.94270e-02   1.31942e-03  -2.75253e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.391e-01 -5.711e-02  1.273e-02 -9.083e-03 
- -5.711e-02  4.724e-01  1.369e-01  2.673e-02 
-  1.273e-02  1.369e-01  6.222e-02  7.189e-03 
- -9.083e-03  2.673e-02  7.189e-03  2.443e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55484   1.000 -0.170  0.104 -0.376
-        2  0.89241  -0.170  1.000  0.799  0.787
-        3  0.83537   0.104  0.799  1.000  0.583
-        4  0.82462  -0.376  0.787  0.583  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM HESSE     STATUS=OK             29 CALLS         217 TOTAL
-                     EDM=0.000126642    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14847e+02   4.87177e-01   2.52865e-04   1.21475e-01
-   2  sg_p1        2.93287e+01   4.44229e-01   2.10419e-04   2.46308e-01
-   3  sg_p2        1.92235e+00   1.10134e-01   2.00630e-01  -2.33169e-01
-   4  sg_p3        1.17091e+00   4.11749e-02   5.27768e-05  -7.28101e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.374e-01 -8.558e-02  4.043e-04 -1.061e-02 
- -8.558e-02  1.976e-01  1.759e-02  1.238e-02 
-  4.043e-04  1.759e-02  1.214e-02  9.448e-04 
- -1.061e-02  1.238e-02  9.448e-04  1.696e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55015   1.000 -0.395  0.008 -0.529
-        2  0.71638  -0.395  1.000  0.359  0.676
-        3  0.39465   0.008  0.359  1.000  0.208
-        4  0.73407  -0.529  0.676  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.847 +- 0.487177
-29.3287 +- 0.444229
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29376.3 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.21334e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.14912e+02
-   3  sg_p2        1.36391e+00   5.00000e-01   0.00000e+00   1.01339e+02
-   4  sg_p3        1.20442e+00   7.00000e-01  -7.15346e-01   5.08593e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM MIGRAD    STATUS=CONVERGED     194 CALLS         195 TOTAL
-                     EDM=0.000205755    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14660e+02   4.99096e-01   1.29653e-03  -5.11216e-02
-   2  sg_p1        3.02540e+01   3.59225e-01   5.55826e-03   5.44144e-02
-   3  sg_p2        2.08275e+00   1.37518e-01   6.20642e-03   1.37624e-01
-   4  sg_p3        1.21801e+00   3.97286e-02   1.50718e-03  -6.59977e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.491e-01  5.789e-03  1.174e-02 -9.048e-03 
-  5.789e-03  1.292e-01  1.502e-02 -3.879e-03 
-  1.174e-02  1.502e-02  1.893e-02 -7.314e-04 
- -9.048e-03 -3.879e-03 -7.314e-04  1.578e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48768   1.000  0.032  0.171 -0.456
-        2  0.40688   0.032  1.000  0.304 -0.272
-        3  0.34471   0.171  0.304  1.000 -0.134
-        4  0.52420  -0.456 -0.272 -0.134  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM HESSE     STATUS=OK             23 CALLS         218 TOTAL
-                     EDM=0.000176487    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14660e+02   6.63602e-01   2.59307e-04   1.16777e-01
-   2  sg_p1        3.02540e+01   6.28299e-01   2.22330e-04   3.75996e-01
-   3  sg_p2        2.08275e+00   1.45711e-01   2.48257e-04  -1.67686e-01
-   4  sg_p3        1.21801e+00   6.93582e-02   3.01436e-04  -7.10215e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.404e-01 -2.750e-01 -1.507e-02 -3.419e-02 
- -2.750e-01  3.958e-01  3.829e-02  3.641e-02 
- -1.507e-02  3.829e-02  2.126e-02  3.230e-03 
- -3.419e-02  3.641e-02  3.230e-03  4.812e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75425   1.000 -0.659 -0.156 -0.743
-        2  0.85307  -0.659  1.000  0.417  0.834
-        3  0.44715  -0.156  0.417  1.000  0.319
-        4  0.87298  -0.743  0.834  0.319  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.66 +- 0.663602
-30.254 +- 0.628299
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=34491.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -1.23996e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.14064e+01
-   3  sg_p2        1.33344e+00   5.00000e-01   0.00000e+00   1.23543e+02
-   4  sg_p3        1.01604e+00   7.00000e-01  -7.89075e-01  -7.54461e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=1.48214e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14750e+02   5.25007e-01   1.29029e-03   2.37283e-01
-   2  sg_p1        3.02408e+01   4.81625e-01   5.53748e-03  -1.27642e-02
-   3  sg_p2        2.07745e+00   1.27929e-01   6.14558e-03   4.69647e-02
-   4  sg_p3        1.21295e+00   5.03011e-02   1.45362e-03   1.82273e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -1.325e-01 -3.877e-03 -1.666e-02 
- -1.325e-01  2.323e-01  2.235e-02  1.825e-02 
- -3.877e-03  2.235e-02  1.638e-02  1.568e-03 
- -1.666e-02  1.825e-02  1.568e-03  2.531e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64731   1.000 -0.523 -0.058 -0.631
-        2  0.77971  -0.523  1.000  0.362  0.753
-        3  0.39469  -0.058  0.362  1.000  0.244
-        4  0.80244  -0.631  0.753  0.244  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM HESSE     STATUS=OK             23 CALLS         212 TOTAL
-                     EDM=1.52019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14750e+02   5.22645e-01   2.58059e-04   1.19022e-01
-   2  sg_p1        3.02408e+01   4.78916e-01   2.21499e-04   3.74107e-01
-   3  sg_p2        2.07745e+00   1.30836e-01   2.45823e-04  -1.69835e-01
-   4  sg_p3        1.21295e+00   4.98205e-02   5.81447e-05  -7.12123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.732e-01 -1.292e-01 -3.790e-03 -1.629e-02 
- -1.292e-01  2.297e-01  2.340e-02  1.784e-02 
- -3.790e-03  2.340e-02  1.713e-02  1.620e-03 
- -1.629e-02  1.784e-02  1.620e-03  2.482e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64323   1.000 -0.516 -0.055 -0.626
-        2  0.77685  -0.516  1.000  0.373  0.747
-        3  0.40646  -0.055  0.373  1.000  0.248
-        4  0.79826  -0.626  0.747  0.248  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.75 +- 0.522645
-30.2408 +- 0.478916
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 914.708 +- 0.637633 (stat) - 2.04205 + 2.52294 (syst); -2.06678/+2.54301 (total)
-   Uncertainty on sg_p1 = 30.2451 +- 0.604034 (stat) - 0.916401 + 0.130325 (syst); -0.964886/+0.328936 (total)
-   Uncertainty on sg_p2 = 2.07933 +- 0.139479 (stat) - 0.214614 + 0.199247 (syst); -0.225661/+0.2111 (total)
-   Uncertainty on sg_p3 = 1.21527 +- 0.0662844 (stat) - 0.0445565 + 0.00274258 (syst); -0.055531/+0.0332555 (total)
-   === Baseline plot === </br>
-   norm = 232.078
-JEC     lnN   1.00857  -
-JER     lnN   1.01164  -
-btag    lnN   1.0799  -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
deleted file mode 100644
index 4d3fd76..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 4.57902e-05  -4.57902e-05/+2.75634  (68% CL)
-nll S+B -> -0.000957586  nll B -> -0.000957593
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
deleted file mode 100644
index 60143ab..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 5.709585:	q_mu = 3.83605	q_A  = 3.83397	CLsb = 0.02508	CLb  = 0.49979	CLs  = 0.05018
-
- -- Asymptotic -- 
-Observed Limit: r < 5.7096
-Expected  2.5%: r < 2.9518
-Expected 16.0%: r < 3.9943
-Expected 50.0%: r < 5.7031
-Expected 84.0%: r < 8.3174
-Expected 97.5%: r < 11.7370
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
deleted file mode 100644
index c4b6481..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.64156 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.0799    -
-JER       lnN     1.01164   - 
-JEC       lnN     1.00857   -
-trigger   lnN     1.10    -
-PDF       lnN     1.02549102587   -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/pdf.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/pdf.log
deleted file mode 100644
index d309f86..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/pdf.log
+++ /dev/null
@@ -1,10 +0,0 @@
-[?1034h FCN=13.6412 FROM MIGRAD    STATUS=CONVERGED      69 CALLS          70 TOTAL
-                     EDM=1.32214e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  Constant     1.20921e+01   1.56255e+00   2.43180e-03   2.41961e-04
-   2  Mean         9.98237e-01   3.72269e-03   6.33611e-06  -4.15570e-02
-   3  Sigma        2.54910e-02   2.98572e-03   6.27464e-05  -4.89863e-03
-0.998236892348 +/- 0.00372268649896
-0.0254910258695 +/- 0.00298571979086
-PDF lnN 1.02549102587
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/signal900_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/signal900_sig.log
deleted file mode 100644
index d4cc812..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/3GeV/MMR_900_novo_550_1200/signal900_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33664.2 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.87024e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   1.70564e+01
-   3  sg_p2        8.67563e-01   5.00000e-01   0.00000e+00   3.77923e+02
-   4  sg_p3        1.75058e+00   7.00000e-01  -5.23409e-01  -9.51811e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.14138 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             27 CALLS         373 TOTAL
-                     EDM=0.00332624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18636e-01   1.26596e-03   7.76547e-02
-   2  sg_p1        4.38895e+01   5.43360e-01   3.99187e-03   5.04266e-02
-   3  sg_p2        2.61266e+00   9.39365e-01   6.28602e-02  -2.11368e-01
-   4  sg_p3        1.68218e+00   9.36801e-02   3.16921e-03   5.53803e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33371.1 FROM MIGRAD    STATUS=CONVERGED     386 CALLS         387 TOTAL
-                     EDM=8.86352e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18635e-01   1.67624e-06  -3.95438e-03
-   2  sg_p1        4.38881e+01   5.43356e-01  -9.98687e-05  -6.98133e-04
-   3  sg_p2        2.69108e+00   9.37644e-01   3.14301e-02  -2.30056e-05
-   4  sg_p3        1.68195e+00   9.36715e-02  -7.67431e-05  -4.02566e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.827e-01 -6.502e-02 -5.811e-05 -2.090e-02 
- -6.502e-02  2.954e-01  5.476e-04  2.735e-02 
- -5.811e-05  5.476e-04  9.241e-01  1.376e-04 
- -2.090e-02  2.735e-02  1.376e-04  8.777e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36054   1.000 -0.193 -0.000 -0.361
-        2  0.53708  -0.193  1.000  0.001  0.537
-        3  0.00163  -0.000  0.001  1.000  0.002
-        4  0.59741  -0.361  0.537  0.002  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             29 CALLS         416 TOTAL
-                     EDM=5.60701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.87145e+02   6.19206e-01   1.26598e-03   2.89787e-01
-   2  sg_p1        4.38881e+01   5.44560e-01   1.59675e-03   2.62200e-01
-   3  sg_p2        2.69108e+00   3.66223e+00   4.86437e-02   7.65081e-02
-   4  sg_p3        1.68195e+00   9.38964e-02   1.26768e-03  -5.46198e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.834e-01 -6.608e-02  9.504e-07 -2.110e-02 
- -6.608e-02  2.967e-01  4.698e-06  2.763e-02 
-  9.504e-07  4.698e-06  6.569e+03  3.565e-07 
- -2.110e-02  2.763e-02  3.565e-07  8.819e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36280   1.000 -0.196  0.000 -0.363
-        2  0.54009  -0.196  1.000  0.000  0.540
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.60032  -0.363  0.540  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-887.145 +- 0.619206
-43.8881 +- 0.54456
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33829.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.37162e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   7.33519e+01
-   3  sg_p2        5.87771e-01   5.00000e-01  -8.70873e-01   9.57906e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.46120e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00007 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             25 CALLS         331 TOTAL
-                     EDM=0.315109    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91582e+02   6.17824e-01   1.32224e-03  -7.77130e-01
-   2  sg_p1        4.40907e+01   5.43395e-01   4.14838e-03   2.19978e+00
-   3  sg_p2        2.59937e+00   4.57998e-01   2.91245e-01  -4.28319e+00
-   4  sg_p3        1.56794e+00   6.89875e-02   2.49674e-03  -3.53414e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33473.2 FROM MIGRAD    STATUS=CONVERGED     344 CALLS         345 TOTAL
-                     EDM=1.81644e-07    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91593e+02   6.17785e-01   1.97446e-04  -3.22562e-02
-   2  sg_p1        4.40472e+01   5.43856e-01  -3.01296e-03  -7.86524e-03
-   3  sg_p2        2.96080e+00   4.50508e-01   1.45623e-01   0.00000e+00
-   4  sg_p3        1.56553e+00   6.89514e-02  -8.25067e-04   1.93280e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.817e-01 -4.853e-02  1.606e-04 -1.348e-02 
- -4.853e-02  2.959e-01  6.495e-06  1.836e-02 
-  1.606e-04  6.495e-06  2.053e-01 -1.663e-05 
- -1.348e-02  1.836e-02 -1.663e-05  4.755e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31670   1.000 -0.144  0.001 -0.316
-        2  0.48950  -0.144  1.000  0.000  0.489
-        3  0.00076   0.001  0.000  1.000 -0.001
-        4  0.54881  -0.316  0.489 -0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             31 CALLS         376 TOTAL
-                     EDM=1.33661    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.91593e+02   6.18180e-01   1.32251e-03   3.68142e-01
-   2  sg_p1        4.40472e+01   5.43127e-01   4.14931e-03   2.73201e-01
-   3  sg_p2        2.96080e+00   5.37583e-01   5.10000e-01   1.85380e-01
-   4  sg_p3        1.56553e+00   6.89873e-02   9.98698e-04  -5.85607e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.822e-01 -4.972e-02 -6.585e-12 -1.366e-02 
- -4.972e-02  2.951e-01  2.406e-12  1.846e-02 
- -6.585e-12  2.406e-12  2.937e-01  2.262e-12 
- -1.366e-02  1.846e-02  2.262e-12  4.760e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32056   1.000 -0.148 -0.000 -0.320
-        2  0.49249  -0.148  1.000  0.000  0.492
-        3  0.00000  -0.000  0.000  1.000  0.000
-        4  0.55232  -0.320  0.492  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-891.593 +- 0.61818
-44.0472 +- 0.543127
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33025.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.21902e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   3.56266e+01
-   3  sg_p2        8.48797e-01   5.00000e-01   0.00000e+00   8.71721e+00
-   4  sg_p3        1.96916e+00   7.00000e-01  -4.52685e-01   1.33827e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             31 CALLS         284 TOTAL
-                     EDM=0.000111741    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83274e+02   5.75489e-01   1.22716e-03   3.79802e-02
-   2  sg_p1        4.40176e+01   4.49467e-01   3.85966e-03  -7.57641e-02
-   3  sg_p2        2.44289e+00   2.23488e-01   1.00126e-02   8.24918e-02
-   4  sg_p3        1.81465e+00   3.14767e-02   3.33332e-03   1.27746e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=32836 FROM MIGRAD    STATUS=FAILED        321 CALLS         322 TOTAL
-                     EDM=0.034586    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  18.3 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83276e+02   5.73266e-01  -0.00000e+00   5.01334e-02
-   2  sg_p1        4.40177e+01   4.48511e-01   0.00000e+00   1.03605e-01
-   3  sg_p2        2.44263e+00   1.46331e-01  -0.00000e+00  -1.44978e-01
-   4  sg_p3        1.81329e+00   9.50131e-03   0.00000e+00  -1.27604e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.286e-01  1.600e-03 -3.893e-03 -4.127e-05 
-  1.600e-03  2.012e-01  2.014e-03  3.934e-04 
- -3.893e-03  2.014e-03  2.144e-02 -5.698e-04 
- -4.127e-05  3.934e-04 -5.698e-04  9.028e-05 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05588   1.000  0.006 -0.046 -0.008
-        2  0.11947   0.006  1.000  0.031  0.092
-        3  0.41831  -0.046  0.031  1.000 -0.410
-        4  0.42369  -0.008  0.092 -0.410  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             29 CALLS         351 TOTAL
-                     EDM=0.000104468    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.83276e+02   5.75584e-01   1.22738e-03   2.23108e-01
-   2  sg_p1        4.40177e+01   4.49699e-01   3.86131e-03   2.71159e-01
-   3  sg_p2        2.44263e+00   2.24450e-01   1.04348e-02  -2.29498e-02
-   4  sg_p3        1.81329e+00   3.18671e-02   3.32746e-03  -5.02843e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.313e-01 -1.034e-03 -3.993e-04 -1.393e-03 
- -1.034e-03  2.023e-01 -9.138e-05  1.874e-03 
- -3.993e-04 -9.138e-05  5.051e-02  1.806e-06 
- -1.393e-03  1.874e-03  1.806e-06  1.016e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.07626   1.000 -0.004 -0.003 -0.076
-        2  0.13085  -0.004  1.000 -0.001  0.131
-        3  0.00322  -0.003 -0.001  1.000  0.000
-        4  0.15092  -0.076  0.131  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-883.276 +- 0.575584
-44.0177 +- 0.449699
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31847.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.15004e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.07919e+02
-   3  sg_p2        1.34843e+00   5.00000e-01   0.00000e+00   1.01663e+02
-   4  sg_p3        1.18098e+00   7.00000e-01  -7.24255e-01  -8.67138e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.8133e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14708e+02   6.08444e-01   1.29613e-03   1.05815e-01
-   2  sg_p1        3.02451e+01   5.68219e-01   5.56289e-03   1.74811e-02
-   3  sg_p2        2.07933e+00   1.35380e-01   6.08573e-03   1.51761e-02
-   4  sg_p3        1.21527e+00   6.15917e-02   1.48479e-03   1.57009e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.702e-01 -2.155e-01 -1.002e-02 -2.676e-02 
- -2.155e-01  3.236e-01  3.008e-02  2.846e-02 
- -1.002e-02  3.008e-02  1.835e-02  2.403e-03 
- -2.676e-02  2.846e-02  2.403e-03  3.794e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.72659   1.000 -0.623 -0.122 -0.714
-        2  0.83258  -0.623  1.000  0.390  0.812
-        3  0.42083  -0.122  0.390  1.000  0.288
-        4  0.85489  -0.714  0.812  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=2.07761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14708e+02   6.37633e-01   5.18452e-05   1.17968e-01
-   2  sg_p1        3.02451e+01   6.04034e-01   2.22516e-04   3.74720e-01
-   3  sg_p2        2.07933e+00   1.39479e-01   2.43429e-04  -1.69071e-01
-   4  sg_p3        1.21527e+00   6.62844e-02   5.93916e-05  -7.11249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.066e-01 -2.540e-01 -1.389e-02 -3.139e-02 
- -2.540e-01  3.658e-01  3.536e-02  3.345e-02 
- -1.389e-02  3.536e-02  1.948e-02  2.966e-03 
- -3.139e-02  3.345e-02  2.966e-03  4.395e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75434   1.000 -0.659 -0.156 -0.743
-        2  0.85324  -0.659  1.000  0.419  0.834
-        3  0.44886  -0.156  0.419  1.000  0.321
-        4  0.87300  -0.743  0.834  0.321  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.708 +- 0.637633
-30.2451 +- 0.604034
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=32076.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.42825e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.66341e+02
-   3  sg_p2        1.24756e+00   5.00000e-01   0.00000e+00   1.32032e+02
-   4  sg_p3        1.51475e+00   7.00000e-01  -6.03120e-01   6.41643e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.2508e+00  8.3406e-01  1.1303e+00  4.2864e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 2.255047 TO DIAGONAL.
- FCN=31897 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         293 TOTAL
-                     EDM=0.00241152    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   6.95098e-01   1.30051e-03   1.46076e-01
-   2  sg_p1        3.03755e+01   3.97597e-01   5.52810e-03   7.58612e-03
-   3  sg_p2        2.27801e+00   1.55888e+00   7.81545e-03   6.54139e-02
-   4  sg_p3        1.17081e+00   2.99817e-01   1.31225e-03   1.00535e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM MIGRAD    STATUS=CONVERGED     328 CALLS         329 TOTAL
-                     EDM=0.000214971    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   4.88559e-01   1.30052e-03   3.06873e-02
-   2  sg_p1        3.03754e+01   4.10963e-01   2.21124e-03   2.67746e-02
-   3  sg_p2        2.27858e+00   1.68057e-01   3.12618e-03   1.19850e-01
-   4  sg_p3        1.17071e+00   3.83284e-02   1.31215e-03   6.94100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.387e-01 -8.067e-02  2.183e-04 -9.547e-03 
- -8.067e-02  1.691e-01  1.601e-02  9.908e-03 
-  2.183e-04  1.601e-02  2.829e-02  8.281e-04 
- -9.547e-03  9.908e-03  8.281e-04  1.469e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52820   1.000 -0.402  0.003 -0.510
-        2  0.65548  -0.402  1.000  0.231  0.629
-        3  0.25444   0.003  0.231  1.000  0.128
-        4  0.68871  -0.510  0.629  0.128  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM HESSE     STATUS=OK             23 CALLS         352 TOTAL
-                     EDM=0.000216668    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.17231e+02   4.89066e-01   5.20206e-05   1.81768e-01
-   2  sg_p1        3.03754e+01   4.11848e-01   4.42248e-04   3.93462e-01
-   3  sg_p2        2.27858e+00   1.68511e-01   6.25236e-04  -8.86838e-02
-   4  sg_p3        1.17071e+00   3.83872e-02   2.62429e-04  -7.28178e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.392e-01 -8.128e-02  1.943e-04 -9.592e-03 
- -8.128e-02  1.698e-01  1.629e-02  9.968e-03 
-  1.943e-04  1.629e-02  2.844e-02  8.443e-04 
- -9.592e-03  9.968e-03  8.443e-04  1.474e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52961   1.000 -0.403  0.002 -0.511
-        2  0.65734  -0.403  1.000  0.234  0.630
-        3  0.25774   0.002  0.234  1.000  0.130
-        4  0.68988  -0.511  0.630  0.130  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-917.231 +- 0.489066
-30.3754 +- 0.411848
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31270.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.11670e+02   8.00000e+00   4.17695e-02   1.48625e+01
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.41145e+02
-   3  sg_p2        1.45615e+00   5.00000e-01   0.00000e+00  -1.80733e+01
-   4  sg_p3        1.27355e+00   7.00000e-01   0.00000e+00   5.00168e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=1.00647e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.12666e+02   5.93671e-01   1.27735e-03   2.63765e-02
-   2  sg_p1        2.96697e+01   6.13867e-01   5.39370e-03   1.70034e-02
-   3  sg_p2        1.86746e+00   1.16178e-01   4.79471e-03   1.24233e-02
-   4  sg_p3        1.20141e+00   6.21896e-02   1.45289e-03   7.47047e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.525e-01 -2.113e-01 -9.800e-03 -2.540e-02 
- -2.113e-01  3.778e-01  3.879e-02  3.144e-02 
- -9.800e-03  3.879e-02  1.351e-02  2.946e-03 
- -2.540e-02  3.144e-02  2.946e-03  3.868e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71041   1.000 -0.579 -0.142 -0.688
-        2  0.85591  -0.579  1.000  0.543  0.822
-        3  0.58356  -0.142  0.543  1.000  0.408
-        4  0.86266  -0.688  0.822  0.408  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=1.03715e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.12666e+02   5.96901e-01   2.55470e-04   6.66929e-02
-   2  sg_p1        2.96697e+01   6.22112e-01   2.15748e-04   2.93491e-01
-   3  sg_p2        1.86746e+00   1.17183e-01   1.91788e-04  -2.55796e-01
-   4  sg_p3        1.20141e+00   6.28752e-02   5.81156e-05  -7.16489e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.563e-01 -2.172e-01 -1.053e-02 -2.596e-02 
- -2.172e-01  3.880e-01  4.037e-02  3.237e-02 
- -1.053e-02  4.037e-02  1.374e-02  3.084e-03 
- -2.596e-02  3.237e-02  3.084e-03  3.954e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71417   1.000 -0.584 -0.151 -0.692
-        2  0.86002  -0.584  1.000  0.553  0.827
-        3  0.59309  -0.151  0.553  1.000  0.418
-        4  0.86587  -0.692  0.827  0.418  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-912.666 +- 0.596901
-29.6697 +- 0.622112
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31402.8 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -6.41887e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.32609e+02
-   3  sg_p2        1.21873e+00   5.00000e-01   0.00000e+00   2.82004e+01
-   4  sg_p3        1.29003e+00   7.00000e-01  -6.83382e-01   3.00498e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM MIGRAD    STATUS=CONVERGED     202 CALLS         203 TOTAL
-                     EDM=9.20948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14895e+02   5.51583e-01   1.31460e-03   1.61689e-01
-   2  sg_p1        3.03350e+01   7.44882e-01   5.76073e-03  -3.27245e-02
-   3  sg_p2        1.86472e+00   2.01246e-01   6.02311e-03  -3.75996e-03
-   4  sg_p3        1.20817e+00   6.26611e-02   1.44547e-03   2.50672e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.043e-01 -1.559e-01 -6.728e-03 -1.871e-02 
- -1.559e-01  5.570e-01  1.146e-01  3.885e-02 
- -6.728e-03  1.146e-01  4.059e-02  7.410e-03 
- -1.871e-02  3.885e-02  7.410e-03  3.927e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63293   1.000 -0.379 -0.061 -0.541
-        2  0.89852  -0.379  1.000  0.762  0.831
-        3  0.80154  -0.061  0.762  1.000  0.587
-        4  0.86629  -0.541  0.831  0.587  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM HESSE     STATUS=OK             23 CALLS         226 TOTAL
-                     EDM=9.24142e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14895e+02   5.53867e-01   2.62920e-04   1.22682e-01
-   2  sg_p1        3.03350e+01   7.70523e-01   2.30429e-04   3.87633e-01
-   3  sg_p2        1.86472e+00   2.07594e-01   2.40925e-04  -2.56930e-01
-   4  sg_p3        1.20817e+00   6.42645e-02   5.78186e-05  -7.13930e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.068e-01 -1.637e-01 -8.469e-03 -1.930e-02 
- -1.637e-01  5.962e-01  1.248e-01  4.167e-02 
- -8.469e-03  1.248e-01  4.320e-02  8.128e-03 
- -1.930e-02  4.167e-02  8.128e-03  4.131e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63682   1.000 -0.383 -0.074 -0.542
-        2  0.90554  -0.383  1.000  0.777  0.840
-        3  0.81484  -0.074  0.777  1.000  0.608
-        4  0.87336  -0.542  0.840  0.608  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.895 +- 0.553867
-30.335 +- 0.770523
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31997 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.37823e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -7.64703e+01
-   3  sg_p2        1.30597e+00   5.00000e-01   0.00000e+00  -1.46520e+01
-   4  sg_p3        1.20892e+00   7.00000e-01  -7.13644e-01   4.56011e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM MIGRAD    STATUS=CONVERGED     187 CALLS         188 TOTAL
-                     EDM=0.000455256    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14847e+02   4.88994e-01   1.26432e-03   4.89756e-01
-   2  sg_p1        2.93287e+01   6.86296e-01   5.26048e-03   5.85295e-02
-   3  sg_p2        1.92235e+00   2.48995e-01   6.70981e-03   1.75003e-01
-   4  sg_p3        1.17091e+00   4.94270e-02   1.31942e-03  -2.75253e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.391e-01 -5.711e-02  1.273e-02 -9.083e-03 
- -5.711e-02  4.724e-01  1.369e-01  2.673e-02 
-  1.273e-02  1.369e-01  6.222e-02  7.189e-03 
- -9.083e-03  2.673e-02  7.189e-03  2.443e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55484   1.000 -0.170  0.104 -0.376
-        2  0.89241  -0.170  1.000  0.799  0.787
-        3  0.83537   0.104  0.799  1.000  0.583
-        4  0.82462  -0.376  0.787  0.583  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM HESSE     STATUS=OK             29 CALLS         217 TOTAL
-                     EDM=0.000126642    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14847e+02   4.87177e-01   2.52865e-04   1.21475e-01
-   2  sg_p1        2.93287e+01   4.44229e-01   2.10419e-04   2.46308e-01
-   3  sg_p2        1.92235e+00   1.10134e-01   2.00630e-01  -2.33169e-01
-   4  sg_p3        1.17091e+00   4.11749e-02   5.27768e-05  -7.28101e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.374e-01 -8.558e-02  4.043e-04 -1.061e-02 
- -8.558e-02  1.976e-01  1.759e-02  1.238e-02 
-  4.043e-04  1.759e-02  1.214e-02  9.448e-04 
- -1.061e-02  1.238e-02  9.448e-04  1.696e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55015   1.000 -0.395  0.008 -0.529
-        2  0.71638  -0.395  1.000  0.359  0.676
-        3  0.39465   0.008  0.359  1.000  0.208
-        4  0.73407  -0.529  0.676  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.847 +- 0.487177
-29.3287 +- 0.444229
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29376.3 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.21334e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.14912e+02
-   3  sg_p2        1.36391e+00   5.00000e-01   0.00000e+00   1.01339e+02
-   4  sg_p3        1.20442e+00   7.00000e-01  -7.15346e-01   5.08593e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM MIGRAD    STATUS=CONVERGED     194 CALLS         195 TOTAL
-                     EDM=0.000205755    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14660e+02   4.99096e-01   1.29653e-03  -5.11216e-02
-   2  sg_p1        3.02540e+01   3.59225e-01   5.55826e-03   5.44144e-02
-   3  sg_p2        2.08275e+00   1.37518e-01   6.20642e-03   1.37624e-01
-   4  sg_p3        1.21801e+00   3.97286e-02   1.50718e-03  -6.59977e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.491e-01  5.789e-03  1.174e-02 -9.048e-03 
-  5.789e-03  1.292e-01  1.502e-02 -3.879e-03 
-  1.174e-02  1.502e-02  1.893e-02 -7.314e-04 
- -9.048e-03 -3.879e-03 -7.314e-04  1.578e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48768   1.000  0.032  0.171 -0.456
-        2  0.40688   0.032  1.000  0.304 -0.272
-        3  0.34471   0.171  0.304  1.000 -0.134
-        4  0.52420  -0.456 -0.272 -0.134  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM HESSE     STATUS=OK             23 CALLS         218 TOTAL
-                     EDM=0.000176487    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14660e+02   6.63602e-01   2.59307e-04   1.16777e-01
-   2  sg_p1        3.02540e+01   6.28299e-01   2.22330e-04   3.75996e-01
-   3  sg_p2        2.08275e+00   1.45711e-01   2.48257e-04  -1.67686e-01
-   4  sg_p3        1.21801e+00   6.93582e-02   3.01436e-04  -7.10215e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.404e-01 -2.750e-01 -1.507e-02 -3.419e-02 
- -2.750e-01  3.958e-01  3.829e-02  3.641e-02 
- -1.507e-02  3.829e-02  2.126e-02  3.230e-03 
- -3.419e-02  3.641e-02  3.230e-03  4.812e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75425   1.000 -0.659 -0.156 -0.743
-        2  0.85307  -0.659  1.000  0.417  0.834
-        3  0.44715  -0.156  0.417  1.000  0.319
-        4  0.87298  -0.743  0.834  0.319  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.66 +- 0.663602
-30.254 +- 0.628299
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=34491.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -1.23996e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.14064e+01
-   3  sg_p2        1.33344e+00   5.00000e-01   0.00000e+00   1.23543e+02
-   4  sg_p3        1.01604e+00   7.00000e-01  -7.89075e-01  -7.54461e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=1.48214e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14750e+02   5.25007e-01   1.29029e-03   2.37283e-01
-   2  sg_p1        3.02408e+01   4.81625e-01   5.53748e-03  -1.27642e-02
-   3  sg_p2        2.07745e+00   1.27929e-01   6.14558e-03   4.69647e-02
-   4  sg_p3        1.21295e+00   5.03011e-02   1.45362e-03   1.82273e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -1.325e-01 -3.877e-03 -1.666e-02 
- -1.325e-01  2.323e-01  2.235e-02  1.825e-02 
- -3.877e-03  2.235e-02  1.638e-02  1.568e-03 
- -1.666e-02  1.825e-02  1.568e-03  2.531e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64731   1.000 -0.523 -0.058 -0.631
-        2  0.77971  -0.523  1.000  0.362  0.753
-        3  0.39469  -0.058  0.362  1.000  0.244
-        4  0.80244  -0.631  0.753  0.244  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM HESSE     STATUS=OK             23 CALLS         212 TOTAL
-                     EDM=1.52019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14750e+02   5.22645e-01   2.58059e-04   1.19022e-01
-   2  sg_p1        3.02408e+01   4.78916e-01   2.21499e-04   3.74107e-01
-   3  sg_p2        2.07745e+00   1.30836e-01   2.45823e-04  -1.69835e-01
-   4  sg_p3        1.21295e+00   4.98205e-02   5.81447e-05  -7.12123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.732e-01 -1.292e-01 -3.790e-03 -1.629e-02 
- -1.292e-01  2.297e-01  2.340e-02  1.784e-02 
- -3.790e-03  2.340e-02  1.713e-02  1.620e-03 
- -1.629e-02  1.784e-02  1.620e-03  2.482e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64323   1.000 -0.516 -0.055 -0.626
-        2  0.77685  -0.516  1.000  0.373  0.747
-        3  0.40646  -0.055  0.373  1.000  0.248
-        4  0.79826  -0.626  0.747  0.248  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.75 +- 0.522645
-30.2408 +- 0.478916
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 914.708 +- 0.637633 (stat) - 2.04205 + 2.52294 (syst); -2.06678/+2.54301 (total)
-   Uncertainty on sg_p1 = 30.2451 +- 0.604034 (stat) - 0.916401 + 0.130325 (syst); -0.964886/+0.328936 (total)
-   Uncertainty on sg_p2 = 2.07933 +- 0.139479 (stat) - 0.214614 + 0.199247 (syst); -0.225661/+0.2111 (total)
-   Uncertainty on sg_p3 = 1.21527 +- 0.0662844 (stat) - 0.0445565 + 0.00274258 (syst); -0.055531/+0.0332555 (total)
-   === Baseline plot === </br>
-   norm = 232.078
-JEC     lnN   1.00857  -
-JER     lnN   1.01164  -
-btag    lnN   1.0799  -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
deleted file mode 100644
index eddab12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,7 +0,0 @@
-Error in <ROOT::Math::FReal time 0:00:00, CP time 0.070
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 2.85835e-06  -2.85835e-06/+0.00293766  (68% CL)
-nll S+B -> -1.12434e-05  nll B -> -1.23861e-05
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
deleted file mode 100644
index df2afb1..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 4.271119:	q_mu = 3.83391	q_A  = 3.83370	CLsb = 0.02511	CLb  = 0.49998	CLs  = 0.05023
-
- -- Asymptotic -- 
-Observed Limit: r < 4.2711
-Expected  2.5%: r < 1.9912
-Expected 16.0%: r < 2.8174
-Expected 50.0%: r < 4.2656
-Expected 84.0%: r < 6.8841
-Expected 97.5%: r < 11.1165
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt
deleted file mode 100644
index 87552f0..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  6.61454 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.35523    -
-JER       lnN     1.0152   - 
-JEC       lnN     1.01006   -
-trigger   lnN     1.10    -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log
deleted file mode 100644
index 626a232..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_crystal_1_550_1200/signal1000_sig.log
+++ /dev/null
@@ -1,945 +0,0 @@
-
-Processing test.c...
-nSignal_init = 50000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24889.5 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.22453e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.53589e+02
-   3  sg_p2        9.89758e-01   5.00000e-01   0.00000e+00   2.96541e+02
-   4  sg_p3        7.78994e-01   7.00000e-01  -8.90570e-01   5.10370e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.15992e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.90383e+02   1.26314e+00   1.88989e-03   1.21344e-01
-   2  sg_p1        4.50000e+01   1.21905e-01   1.69196e-02** at limit **
-   3  sg_p2        1.02011e+00   4.11152e-02   1.91933e-03   2.89472e-02
-   4  sg_p3        1.18700e+00   6.01449e-02   1.87537e-03   1.46355e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.596e+00  4.010e-06  2.573e-02 -4.941e-02 
-  4.010e-06  1.885e-07 -1.275e-07 -4.838e-07 
-  2.573e-02 -1.275e-07  1.691e-03 -5.988e-04 
- -4.941e-02 -4.838e-07 -5.988e-04  3.618e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73763   1.000  0.007  0.495 -0.650
-        2  0.02208   0.007  1.000 -0.007 -0.019
-        3  0.50646   0.495 -0.007  1.000 -0.242
-        4  0.65685  -0.650 -0.019 -0.242  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=1.17259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.90383e+02   1.26342e+00   3.77979e-04  -1.93551e-01
-   2  sg_p1        4.50000e+01   1.21891e-01   3.38391e-03   1.57107e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.02011e+00   4.11293e-02   7.67732e-05  -6.33481e-01
-   4  sg_p3        1.18700e+00   6.01270e-02   7.50148e-05  -7.21959e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.597e+00  9.064e-07  2.577e-02 -4.939e-02 
-  9.064e-07  1.885e-07 -2.868e-08 -1.091e-07 
-  2.577e-02 -2.868e-08  1.692e-03 -5.978e-04 
- -4.939e-02 -1.091e-07 -5.978e-04  3.616e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73776   1.000  0.002  0.496 -0.650
-        2  0.00498   0.002  1.000 -0.002 -0.004
-        3  0.50696   0.496 -0.002  1.000 -0.242
-        4  0.65659  -0.650 -0.004 -0.242  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-990.383 +- 1.26342
-45 +- 0.121891
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24403.1 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.26882e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.93966e+02
-   3  sg_p2        9.63072e-01   5.00000e-01   0.00000e+00   2.31928e+02
-   4  sg_p3        8.86770e-01   7.00000e-01  -8.42993e-01   8.03262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=6.49551e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.95493e+02   9.33476e-01   1.79739e-03  -1.13004e-01
-   2  sg_p1        4.50000e+01   1.21162e-01   1.67946e-02** at limit **
-   3  sg_p2        1.13607e+00   4.42015e-02   2.25943e-03  -2.24141e-01
-   4  sg_p3        1.13155e+00   4.13228e-02   1.53138e-03   2.62522e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  8.715e-01  4.578e-06  3.814e-04 -1.748e-02 
-  4.578e-06  9.111e-07 -4.559e-07 -5.336e-07 
-  3.814e-04 -4.559e-07  1.954e-03  1.592e-04 
- -1.748e-02 -5.336e-07  1.592e-04  1.708e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.45573   1.000  0.005  0.009 -0.453
-        2  0.01663   0.005  1.000 -0.011 -0.014
-        3  0.10332   0.009 -0.011  1.000  0.087
-        4  0.46232  -0.453 -0.014  0.087  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=9.33859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.95493e+02   1.04671e+00   3.59477e-04  -9.02624e-02
-   2  sg_p1        4.50000e+01   1.21173e-01   3.35892e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.13607e+00   4.95685e-02   4.51887e-04  -5.77071e-01
-   4  sg_p3        1.13155e+00   4.14941e-02   3.06277e-04  -7.43270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.096e+00  5.239e-08  2.349e-02 -1.999e-02 
-  5.239e-08  9.112e-07 -6.164e-08 -6.151e-08 
-  2.349e-02 -6.164e-08  2.457e-03 -2.607e-04 
- -1.999e-02 -6.151e-08 -2.607e-04  1.722e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60817   1.000  0.000  0.453 -0.460
-        2  0.00217   0.000  1.000 -0.001 -0.002
-        3  0.46189   0.453 -0.001  1.000 -0.127
-        4  0.46928  -0.460 -0.002 -0.127  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-995.493 +- 1.04671
-45 +- 0.121173
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=25056.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   4.08464e+01
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.81870e+02
-   3  sg_p2        1.21059e+00   5.00000e-01   0.00000e+00   5.34510e+02
-   4  sg_p3        6.71391e-01   7.00000e-01  -2.20055e+00  -8.87064e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=5.5921e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.84744e+02   1.19560e+00   1.95809e-03   2.95439e-02
-   2  sg_p1        4.50000e+01   1.21031e-01   1.69661e-02** at limit **
-   3  sg_p2        9.63081e-01   3.97444e-02   1.82185e-03  -6.76282e-03
-   4  sg_p3        1.23132e+00   5.50596e-02   1.88577e-03  -4.12979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.430e+00 -3.803e-08  2.612e-02  3.540e-02 
- -3.803e-08  3.884e-10 -9.020e-09  1.301e-08 
-  2.612e-02 -9.020e-09  1.580e-03  4.623e-04 
-  3.540e-02  1.301e-08  4.623e-04  3.032e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69869   1.000 -0.002  0.550  0.538
-        2  0.01886  -0.002  1.000 -0.012  0.012
-        3  0.55874   0.550 -0.012  1.000  0.211
-        4  0.54722   0.538  0.012  0.211  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM HESSE     STATUS=OK             23 CALLS         252 TOTAL
-                     EDM=5.61522e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.84744e+02   1.19463e+00   7.83235e-05  -3.10063e-01
-   2  sg_p1        4.50000e+01   1.21032e-01   3.39322e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        9.63081e-01   3.97567e-02   7.28742e-05  -6.62091e-01
-   4  sg_p3        1.23132e+00   5.49819e-02   7.54308e-05  -2.43638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.427e+00 -7.637e-09  2.613e-02  3.521e-02 
- -7.637e-09  3.884e-10 -1.811e-09  2.617e-09 
-  2.613e-02 -1.811e-09  1.581e-03  4.609e-04 
-  3.521e-02  2.617e-09  4.609e-04  3.023e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69809   1.000 -0.000  0.550  0.536
-        2  0.00379  -0.000  1.000 -0.002  0.002
-        3  0.55912   0.550 -0.002  1.000  0.211
-        4  0.54541   0.536  0.002  0.211  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-984.744 +- 1.19463
-45 +- 0.121032
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23747 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   1.99056e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.60594e+02
-   3  sg_p2        9.21832e-01   5.00000e-01   0.00000e+00   1.22069e+02
-   4  sg_p3        1.41673e+00   7.00000e-01  -6.37540e-01   4.87774e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=7.40636e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01658e+03   8.13144e-01   2.06376e-03  -3.76416e-01
-   2  sg_p1        4.00000e+01   4.68280e-01   3.89370e-02** at limit **
-   3  sg_p2        1.22240e+00   5.07108e-02   2.32615e-03   2.98325e-01
-   4  sg_p3        1.49206e+00   7.79105e-02   2.55089e-03  -7.56703e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.613e-01  1.056e-05  1.493e-02 -2.862e-02 
-  1.056e-05  1.856e-06 -2.776e-06 -7.148e-06 
-  1.493e-02 -2.776e-06  2.572e-03 -4.218e-04 
- -2.862e-02 -7.148e-06 -4.218e-04  6.072e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55096   1.000  0.010  0.362 -0.452
-        2  0.08279   0.010  1.000 -0.040 -0.067
-        3  0.36961   0.362 -0.040  1.000 -0.107
-        4  0.45964  -0.452 -0.067 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM HESSE     STATUS=OK             23 CALLS         272 TOTAL
-                     EDM=7.50694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01658e+03   8.10249e-01   4.12751e-04   4.50469e-02
-   2  sg_p1        4.00000e+01   4.69104e-01   7.78740e-03   1.57131e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22240e+00   5.04194e-02   4.65229e-04  -5.36395e-01
-   4  sg_p3        1.49206e+00   7.77461e-02   1.02036e-04  -6.11014e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.566e-01  2.550e-06  1.440e-02 -2.848e-02 
-  2.550e-06  1.859e-06 -6.023e-07 -1.591e-06 
-  1.440e-02 -6.023e-07  2.543e-03 -4.084e-04 
- -2.848e-02 -1.591e-06 -4.084e-04  6.046e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54642   1.000  0.002  0.353 -0.452
-        2  0.01831   0.002  1.000 -0.009 -0.015
-        3  0.35800   0.353 -0.009  1.000 -0.104
-        4  0.45596  -0.452 -0.015 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.58 +- 0.810249
-40 +- 0.469104
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23321 FROM MIGRAD    STATUS=INITIATE       62 CALLS          63 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -2.15456e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   8.44246e+00
-   3  sg_p2        8.58947e-01   5.00000e-01   0.00000e+00   1.85345e+02
-   4  sg_p3        9.45698e-01   7.00000e-01  -8.18030e-01  -4.63007e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             25 CALLS         397 TOTAL
-                     EDM=0.00260498    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01832e+03   7.86712e-01   2.07176e-03   2.20958e+00
-   2  sg_p1        3.99993e+01   1.77184e+00   7.04451e-02  -2.46019e-02
-   3  sg_p2        1.21002e+00   5.23460e-02   1.24212e-03  -3.03189e+00
-   4  sg_p3        1.46453e+00   6.41490e-02   2.20715e-03   4.63062e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23288 FROM MIGRAD    STATUS=CONVERGED     405 CALLS         406 TOTAL
-                     EDM=3.27684e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.7 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01831e+03   7.85112e-01  -4.32924e-04  -2.09259e-02
-   2  sg_p1        3.99999e+01   1.83061e+00   8.35977e-03  -1.12946e-02
-   3  sg_p2        1.21288e+00   5.27607e-02   1.33598e-03  -8.93872e-02
-   4  sg_p3        1.46454e+00   6.41540e-02   6.09141e-06  -1.12247e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.165e-01 -9.032e-04  1.537e-02 -1.778e-02 
- -9.032e-04  7.440e-04 -2.479e-05 -1.812e-04 
-  1.537e-02 -2.479e-05  2.784e-03 -1.646e-04 
- -1.778e-02 -1.812e-04 -1.646e-04  4.116e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.50511   1.000 -0.042  0.371 -0.353
-        2  0.13383  -0.042  1.000 -0.017 -0.104
-        3  0.38141   0.371 -0.017  1.000 -0.049
-        4  0.38267  -0.353 -0.104 -0.049  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             27 CALLS         433 TOTAL
-                     EDM=6.045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01831e+03   7.86243e-01   2.07195e-03   9.46567e-02
-   2  sg_p1        3.99999e+01   1.65716e+00   2.81780e-02   1.56570e+00
-   3  sg_p2        1.21288e+00   5.23867e-02   2.37732e-03  -5.40830e-01
-   4  sg_p3        1.46454e+00   6.37794e-02   2.20581e-03  -6.20643e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.183e-01 -1.323e-04  1.524e-02 -1.755e-02 
- -1.323e-04  6.707e-04 -5.377e-05 -7.207e-05 
-  1.524e-02 -5.377e-05  2.745e-03 -2.465e-04 
- -1.755e-02 -7.207e-05 -2.465e-04  4.068e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49151   1.000 -0.006  0.370 -0.350
-        2  0.06175  -0.006  1.000 -0.040 -0.044
-        3  0.37636   0.370 -0.040  1.000 -0.074
-        4  0.35760  -0.350 -0.044 -0.074  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1018.31 +- 0.786243
-39.9999 +- 1.65716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23875.8 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   4.43398e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.77680e+02
-   3  sg_p2        9.21219e-01   5.00000e-01   0.00000e+00   7.52454e+00
-   4  sg_p3        1.40649e+00   7.00000e-01  -6.41185e-01   5.95628e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=7.75608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01285e+03   8.33665e-01   2.07912e-03   1.70866e-02
-   2  sg_p1        3.98091e+01   8.48923e-01   3.16082e-02  -1.03759e-02
-   3  sg_p2        1.12381e+00   5.95622e-02   2.13485e-03   3.30200e-01
-   4  sg_p3        1.54010e+00   8.22224e-02   2.41055e-03  -1.53820e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.951e-01  2.065e-01  2.518e-02 -6.574e-03 
-  2.065e-01  6.697e-01  3.047e-02  3.584e-02 
-  2.518e-02  3.047e-02  3.549e-03  1.365e-03 
- -6.574e-03  3.584e-02  1.365e-03  6.762e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.57532   1.000  0.303  0.507 -0.096
-        2  0.73404   0.303  1.000  0.625  0.533
-        3  0.70991   0.507  0.625  1.000  0.279
-        4  0.59907  -0.096  0.533  0.279  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=7.73708e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01285e+03   8.49657e-01   4.15824e-04  -6.14668e-02
-   2  sg_p1        3.98091e+01   1.04461e+00   1.26433e-03   1.34471e+00
-   3  sg_p2        1.12381e+00   6.43212e-02   4.26970e-04  -5.82935e-01
-   4  sg_p3        1.54010e+00   8.72084e-02   9.64222e-05  -5.94353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.221e-01  2.723e-01  2.914e-02 -1.973e-03 
-  2.723e-01  8.279e-01  4.043e-02  4.780e-02 
-  2.914e-02  4.043e-02  4.139e-03  2.068e-03 
- -1.973e-03  4.780e-02  2.068e-03  7.608e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59661   1.000  0.352  0.533 -0.027
-        2  0.79068   0.352  1.000  0.691  0.602
-        3  0.75807   0.533  0.691  1.000  0.369
-        4  0.65582  -0.027  0.602  0.369  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1012.85 +- 0.849657
-39.8091 +- 1.04461
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23239.4 FROM MIGRAD    STATUS=INITIATE       64 CALLS          65 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.27750e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   1.26948e-01
-   3  sg_p2        8.74738e-01   5.00000e-01   0.00000e+00   1.80702e+02
-   4  sg_p3        9.26595e-01   7.00000e-01  -8.26048e-01  -4.27618e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=0.00014251    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01577e+03   8.64818e-01   2.10463e-03   2.40523e-01
-   2  sg_p1        3.99999e+01   1.00303e+00   5.37328e-02  -1.94869e-02
-   3  sg_p2        1.13318e+00   5.62974e-02   2.39200e-03  -5.76330e-02
-   4  sg_p3        1.52247e+00   6.86424e-02   2.34430e-03   1.64373e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.481e-01 -1.096e-03  2.562e-02 -1.857e-02 
- -1.096e-03  4.530e-04 -1.315e-04 -8.807e-05 
-  2.562e-02 -1.315e-04  3.170e-03 -3.976e-04 
- -1.857e-02 -8.807e-05 -3.976e-04  4.713e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.58719   1.000 -0.060  0.526 -0.313
-        2  0.13360  -0.060  1.000 -0.110 -0.060
-        3  0.53513   0.526 -0.110  1.000 -0.103
-        4  0.32913  -0.313 -0.060 -0.103  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM HESSE     STATUS=OK             29 CALLS         267 TOTAL
-                     EDM=0.000133982    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01577e+03   8.73102e-01   4.20925e-04   2.20882e-02
-   2  sg_p1        3.99999e+01   1.01940e+00   2.14931e-03   1.56537e+00
-   3  sg_p2        1.13318e+00   5.62622e-02   9.56802e-05  -5.78450e-01
-   4  sg_p3        1.52247e+00   7.21948e-02   7.98704e-02  -6.00445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.625e-01  2.144e-04  2.611e-02 -2.173e-02 
-  2.144e-04  4.606e-04  2.659e-05  2.032e-05 
-  2.611e-02  2.659e-05  3.166e-03 -5.636e-04 
- -2.173e-02  2.032e-05 -5.636e-04  5.213e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59764   1.000  0.011  0.531 -0.345
-        2  0.02791   0.011  1.000  0.022  0.013
-        3  0.53363   0.531  0.022  1.000 -0.139
-        4  0.34900  -0.345  0.013 -0.139  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1015.77 +- 0.873102
-39.9999 +- 1.0194
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23904.2 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.58334e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -6.45414e+00
-   3  sg_p2        9.40575e-01   5.00000e-01   0.00000e+00   2.02619e+02
-   4  sg_p3        9.50207e-01   7.00000e-01  -8.16148e-01  -4.42963e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM MIGRAD    STATUS=CONVERGED     250 CALLS         251 TOTAL
-                     EDM=1.36548e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01639e+03   7.28586e-01   2.01823e-03  -1.76359e-02
-   2  sg_p1        4.00000e+01   7.49353e-01   4.69202e-02  -5.91552e-03
-   3  sg_p2        1.26989e+00   5.63661e-02   2.54093e-03   8.80770e-02
-   4  sg_p3        1.53945e+00   6.56083e-02   2.27702e-03  -7.24550e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.309e-01 -7.297e-05  1.348e-02 -1.019e-02 
- -7.297e-05  1.681e-05 -1.973e-05 -2.021e-05 
-  1.348e-02 -1.973e-05  3.178e-03  5.005e-04 
- -1.019e-02 -2.021e-05  5.005e-04  4.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41880   1.000 -0.024  0.328 -0.213
-        2  0.10777  -0.024  1.000 -0.085 -0.075
-        3  0.39425   0.328 -0.085  1.000  0.135
-        4  0.31076  -0.213 -0.075  0.135  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM HESSE     STATUS=OK             23 CALLS         274 TOTAL
-                     EDM=1.44816e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01639e+03   7.40109e-01   4.03646e-04   3.97032e-02
-   2  sg_p1        4.00000e+01   7.56384e-01   9.38403e-03   1.56958e+00
-   3  sg_p2        1.26989e+00   5.58118e-02   1.01637e-04  -5.14435e-01
-   4  sg_p3        1.53945e+00   6.43105e-02   9.10809e-05  -5.94577e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.478e-01 -1.128e-05  1.525e-02 -1.306e-02 
- -1.128e-05  1.697e-05 -2.641e-06 -2.503e-06 
-  1.525e-02 -2.641e-06  3.116e-03 -1.984e-04 
- -1.306e-02 -2.503e-06 -1.984e-04  4.137e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44819   1.000 -0.004  0.369 -0.274
-        2  0.01546  -0.004  1.000 -0.011 -0.009
-        3  0.37224   0.369 -0.011  1.000 -0.055
-        4  0.27895  -0.274 -0.009 -0.055  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.39 +- 0.740109
-40 +- 0.756384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16426.3 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   2.76971e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -7.40412e+01
-   3  sg_p2        7.53407e-01   5.00000e-01   0.00000e+00  -2.61313e+02
-   4  sg_p3        1.41708e+00   7.00000e-01  -6.37416e-01   3.61680e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.2739e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01657e+03   9.77555e-01   2.06312e-03  -3.61028e-03
-   2  sg_p1        4.00000e+01   6.78180e-01   3.73477e-02  -7.76696e-03
-   3  sg_p2        1.22238e+00   6.09231e-02   2.33024e-03  -3.84112e-02
-   4  sg_p3        1.49153e+00   9.35612e-02   2.57411e-03  -3.75876e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.559e-01  3.743e-05  2.152e-02 -4.133e-02 
-  3.743e-05  2.111e-05 -9.720e-06 -2.510e-05 
-  2.152e-02 -9.720e-06  3.713e-03 -6.103e-04 
- -4.133e-02 -2.510e-05 -6.103e-04  8.757e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55051   1.000  0.008  0.361 -0.452
-        2  0.07170   0.008  1.000 -0.035 -0.058
-        3  0.36817   0.361 -0.035  1.000 -0.107
-        4  0.45868  -0.452 -0.058 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM HESSE     STATUS=OK             23 CALLS         228 TOTAL
-                     EDM=1.33694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01657e+03   9.74476e-01   4.12624e-04   4.48931e-02
-   2  sg_p1        4.00000e+01   6.79952e-01   7.46954e-03   1.56937e+00
-   3  sg_p2        1.22238e+00   6.06205e-02   9.32097e-05  -5.36402e-01
-   4  sg_p3        1.49153e+00   9.34142e-02   1.02965e-04  -6.11196e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.499e-01  5.447e-06  2.083e-02 -4.116e-02 
-  5.447e-06  2.117e-05 -1.283e-06 -3.388e-06 
-  2.083e-02 -1.283e-06  3.676e-03 -5.904e-04 
- -4.116e-02 -3.388e-06 -5.904e-04  8.729e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54649   1.000  0.001  0.353 -0.452
-        2  0.00962   0.001  1.000 -0.005 -0.008
-        3  0.35791   0.353 -0.005  1.000 -0.104
-        4  0.45594  -0.452 -0.008 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.57 +- 0.974476
-40 +- 0.679952
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33287.9 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   3.29127e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -2.09458e+02
-   3  sg_p2        8.91728e-01   5.00000e-01   0.00000e+00   7.37516e+01
-   4  sg_p3        1.41601e+00   7.00000e-01  -6.37796e-01   6.89934e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=5.9663e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01659e+03   6.86602e-01   2.06298e-03   6.23454e-02
-   2  sg_p1        4.00000e+01   3.36413e-01   3.74809e-02** at limit **
-   3  sg_p2        1.22194e+00   4.27738e-02   2.32926e-03  -6.40806e-02
-   4  sg_p3        1.49222e+00   6.57997e-02   2.57024e-03  -1.52134e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.715e-01  8.305e-06  1.061e-02 -2.041e-02 
-  8.305e-06  1.928e-06 -2.165e-06 -5.598e-06 
-  1.061e-02 -2.165e-06  1.830e-03 -3.008e-04 
- -2.041e-02 -5.598e-06 -3.008e-04  4.330e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55055   1.000  0.009  0.361 -0.452
-        2  0.07527   0.009  1.000 -0.036 -0.061
-        3  0.36846   0.361 -0.036  1.000 -0.107
-        4  0.45894  -0.452 -0.061 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=6.1799e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01659e+03   6.84411e-01   4.12596e-04   4.54194e-02
-   2  sg_p1        4.00000e+01   3.37160e-01   7.49617e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22194e+00   4.25566e-02   9.31704e-05  -5.36608e-01
-   4  sg_p3        1.49222e+00   6.56863e-02   1.02809e-04  -6.10958e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.685e-01  1.563e-06  1.027e-02 -2.032e-02 
-  1.563e-06  1.932e-06 -3.692e-07 -9.768e-07 
-  1.027e-02 -3.692e-07  1.811e-03 -2.913e-04 
- -2.032e-02 -9.768e-07 -2.913e-04  4.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54648   1.000  0.002  0.353 -0.452
-        2  0.01305   0.002  1.000 -0.006 -0.011
-        3  0.35799   0.353 -0.006  1.000 -0.104
-        4  0.45593  -0.452 -0.011 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.59 +- 0.684411
-40 +- 0.33716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 1016.58 +- 0.810249 (stat) - 3.72609 + 1.73193 (syst); -3.74805/+1.77868 (total)
-   Uncertainty on sg_p1 = 40 +- 0.469104 (stat) - 0.190863 + 0 (syst); -0.302396/+0.234552 (total)
-   Uncertainty on sg_p2 = 1.2224 +- 0.0504194 (stat) - 0.0985888 + 0.0474949 (syst); -0.101761/+0.0537708 (total)
-   Uncertainty on sg_p3 = 1.49206 +- 0.0777461 (stat) - 0.0275125 + 0.0480377 (syst); -0.0476241/+0.0617959 (total)
-   === Baseline plot === </br>
-   norm = 330.727
-JEC     lnN   1.01006  -
-JER     lnN   1.0152  -
-btag    lnN   1.35523  -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
deleted file mode 100644
index 0faeb43..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0131783  -0.0131783/+2.08594  (68% CL)
-nll S+B -> -0.000980195  nll B -> -0.000957607
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
deleted file mode 100644
index a74cd8f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 4.760115:	q_mu = 3.84616	q_A  = 3.84637	CLsb = 0.02493	CLb  = 0.50002	CLs  = 0.04986
-
- -- Asymptotic -- 
-Observed Limit: r < 4.7601
-Expected  2.5%: r < 2.2618
-Expected 16.0%: r < 3.1518
-Expected 50.0%: r < 4.7656
-Expected 84.0%: r < 7.6150
-Expected 97.5%: r < 12.2889
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
deleted file mode 100644
index e9ef472..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_1000.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  6.61454 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.35523    -
-JER       lnN     1.0152   - 
-JEC       lnN     1.01006   -
-trigger   lnN     1.10    -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/signal1000_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/signal1000_sig.log
deleted file mode 100644
index 626a232..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_1000_novo_550_1200/signal1000_sig.log
+++ /dev/null
@@ -1,945 +0,0 @@
-
-Processing test.c...
-nSignal_init = 50000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24889.5 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.22453e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.53589e+02
-   3  sg_p2        9.89758e-01   5.00000e-01   0.00000e+00   2.96541e+02
-   4  sg_p3        7.78994e-01   7.00000e-01  -8.90570e-01   5.10370e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.15992e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.90383e+02   1.26314e+00   1.88989e-03   1.21344e-01
-   2  sg_p1        4.50000e+01   1.21905e-01   1.69196e-02** at limit **
-   3  sg_p2        1.02011e+00   4.11152e-02   1.91933e-03   2.89472e-02
-   4  sg_p3        1.18700e+00   6.01449e-02   1.87537e-03   1.46355e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.596e+00  4.010e-06  2.573e-02 -4.941e-02 
-  4.010e-06  1.885e-07 -1.275e-07 -4.838e-07 
-  2.573e-02 -1.275e-07  1.691e-03 -5.988e-04 
- -4.941e-02 -4.838e-07 -5.988e-04  3.618e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73763   1.000  0.007  0.495 -0.650
-        2  0.02208   0.007  1.000 -0.007 -0.019
-        3  0.50646   0.495 -0.007  1.000 -0.242
-        4  0.65685  -0.650 -0.019 -0.242  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24811.7 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=1.17259e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.90383e+02   1.26342e+00   3.77979e-04  -1.93551e-01
-   2  sg_p1        4.50000e+01   1.21891e-01   3.38391e-03   1.57107e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.02011e+00   4.11293e-02   7.67732e-05  -6.33481e-01
-   4  sg_p3        1.18700e+00   6.01270e-02   7.50148e-05  -7.21959e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.597e+00  9.064e-07  2.577e-02 -4.939e-02 
-  9.064e-07  1.885e-07 -2.868e-08 -1.091e-07 
-  2.577e-02 -2.868e-08  1.692e-03 -5.978e-04 
- -4.939e-02 -1.091e-07 -5.978e-04  3.616e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.73776   1.000  0.002  0.496 -0.650
-        2  0.00498   0.002  1.000 -0.002 -0.004
-        3  0.50696   0.496 -0.002  1.000 -0.242
-        4  0.65659  -0.650 -0.004 -0.242  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-990.383 +- 1.26342
-45 +- 0.121891
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24403.1 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   2.26882e+02
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.93966e+02
-   3  sg_p2        9.63072e-01   5.00000e-01   0.00000e+00   2.31928e+02
-   4  sg_p3        8.86770e-01   7.00000e-01  -8.42993e-01   8.03262e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=6.49551e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.95493e+02   9.33476e-01   1.79739e-03  -1.13004e-01
-   2  sg_p1        4.50000e+01   1.21162e-01   1.67946e-02** at limit **
-   3  sg_p2        1.13607e+00   4.42015e-02   2.25943e-03  -2.24141e-01
-   4  sg_p3        1.13155e+00   4.13228e-02   1.53138e-03   2.62522e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  8.715e-01  4.578e-06  3.814e-04 -1.748e-02 
-  4.578e-06  9.111e-07 -4.559e-07 -5.336e-07 
-  3.814e-04 -4.559e-07  1.954e-03  1.592e-04 
- -1.748e-02 -5.336e-07  1.592e-04  1.708e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.45573   1.000  0.005  0.009 -0.453
-        2  0.01663   0.005  1.000 -0.011 -0.014
-        3  0.10332   0.009 -0.011  1.000  0.087
-        4  0.46232  -0.453 -0.014  0.087  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24325.5 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=9.33859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.95493e+02   1.04671e+00   3.59477e-04  -9.02624e-02
-   2  sg_p1        4.50000e+01   1.21173e-01   3.35892e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.13607e+00   4.95685e-02   4.51887e-04  -5.77071e-01
-   4  sg_p3        1.13155e+00   4.14941e-02   3.06277e-04  -7.43270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.096e+00  5.239e-08  2.349e-02 -1.999e-02 
-  5.239e-08  9.112e-07 -6.164e-08 -6.151e-08 
-  2.349e-02 -6.164e-08  2.457e-03 -2.607e-04 
- -1.999e-02 -6.151e-08 -2.607e-04  1.722e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.60817   1.000  0.000  0.453 -0.460
-        2  0.00217   0.000  1.000 -0.001 -0.002
-        3  0.46189   0.453 -0.001  1.000 -0.127
-        4  0.46928  -0.460 -0.002 -0.127  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-995.493 +- 1.04671
-45 +- 0.121173
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [700,1250] --> [700,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [700,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [800,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=25056.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.00000e+03   1.00000e+01   0.00000e+00   4.08464e+01
-   2  sg_p1        3.50000e+01   2.00000e+00   0.00000e+00  -1.81870e+02
-   3  sg_p2        1.21059e+00   5.00000e-01   0.00000e+00   5.34510e+02
-   4  sg_p3        6.71391e-01   7.00000e-01  -2.20055e+00  -8.87064e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=5.5921e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.84744e+02   1.19560e+00   1.95809e-03   2.95439e-02
-   2  sg_p1        4.50000e+01   1.21031e-01   1.69661e-02** at limit **
-   3  sg_p2        9.63081e-01   3.97444e-02   1.82185e-03  -6.76282e-03
-   4  sg_p3        1.23132e+00   5.50596e-02   1.88577e-03  -4.12979e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.430e+00 -3.803e-08  2.612e-02  3.540e-02 
- -3.803e-08  3.884e-10 -9.020e-09  1.301e-08 
-  2.612e-02 -9.020e-09  1.580e-03  4.623e-04 
-  3.540e-02  1.301e-08  4.623e-04  3.032e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69869   1.000 -0.002  0.550  0.538
-        2  0.01886  -0.002  1.000 -0.012  0.012
-        3  0.55874   0.550 -0.012  1.000  0.211
-        4  0.54722   0.538  0.012  0.211  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24915.3 FROM HESSE     STATUS=OK             23 CALLS         252 TOTAL
-                     EDM=5.61522e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.84744e+02   1.19463e+00   7.83235e-05  -3.10063e-01
-   2  sg_p1        4.50000e+01   1.21032e-01   3.39322e-03   1.57081e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        9.63081e-01   3.97567e-02   7.28742e-05  -6.62091e-01
-   4  sg_p3        1.23132e+00   5.49819e-02   7.54308e-05  -2.43638e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.427e+00 -7.637e-09  2.613e-02  3.521e-02 
- -7.637e-09  3.884e-10 -1.811e-09  2.617e-09 
-  2.613e-02 -1.811e-09  1.581e-03  4.609e-04 
-  3.521e-02  2.617e-09  4.609e-04  3.023e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.69809   1.000 -0.000  0.550  0.536
-        2  0.00379  -0.000  1.000 -0.002  0.002
-        3  0.55912   0.550 -0.002  1.000  0.211
-        4  0.54541   0.536  0.002  0.211  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-984.744 +- 1.19463
-45 +- 0.121032
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23747 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   1.99056e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.60594e+02
-   3  sg_p2        9.21832e-01   5.00000e-01   0.00000e+00   1.22069e+02
-   4  sg_p3        1.41673e+00   7.00000e-01  -6.37540e-01   4.87774e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM MIGRAD    STATUS=CONVERGED     248 CALLS         249 TOTAL
-                     EDM=7.40636e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01658e+03   8.13144e-01   2.06376e-03  -3.76416e-01
-   2  sg_p1        4.00000e+01   4.68280e-01   3.89370e-02** at limit **
-   3  sg_p2        1.22240e+00   5.07108e-02   2.32615e-03   2.98325e-01
-   4  sg_p3        1.49206e+00   7.79105e-02   2.55089e-03  -7.56703e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.613e-01  1.056e-05  1.493e-02 -2.862e-02 
-  1.056e-05  1.856e-06 -2.776e-06 -7.148e-06 
-  1.493e-02 -2.776e-06  2.572e-03 -4.218e-04 
- -2.862e-02 -7.148e-06 -4.218e-04  6.072e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55096   1.000  0.010  0.362 -0.452
-        2  0.08279   0.010  1.000 -0.040 -0.067
-        3  0.36961   0.362 -0.040  1.000 -0.107
-        4  0.45964  -0.452 -0.067 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23690.5 FROM HESSE     STATUS=OK             23 CALLS         272 TOTAL
-                     EDM=7.50694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01658e+03   8.10249e-01   4.12751e-04   4.50469e-02
-   2  sg_p1        4.00000e+01   4.69104e-01   7.78740e-03   1.57131e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22240e+00   5.04194e-02   4.65229e-04  -5.36395e-01
-   4  sg_p3        1.49206e+00   7.77461e-02   1.02036e-04  -6.11014e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.566e-01  2.550e-06  1.440e-02 -2.848e-02 
-  2.550e-06  1.859e-06 -6.023e-07 -1.591e-06 
-  1.440e-02 -6.023e-07  2.543e-03 -4.084e-04 
- -2.848e-02 -1.591e-06 -4.084e-04  6.046e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54642   1.000  0.002  0.353 -0.452
-        2  0.01831   0.002  1.000 -0.009 -0.015
-        3  0.35800   0.353 -0.009  1.000 -0.104
-        4  0.45596  -0.452 -0.015 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.58 +- 0.810249
-40 +- 0.469104
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23321 FROM MIGRAD    STATUS=INITIATE       62 CALLS          63 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -2.15456e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   8.44246e+00
-   3  sg_p2        8.58947e-01   5.00000e-01   0.00000e+00   1.85345e+02
-   4  sg_p3        9.45698e-01   7.00000e-01  -8.18030e-01  -4.63007e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             25 CALLS         397 TOTAL
-                     EDM=0.00260498    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01832e+03   7.86712e-01   2.07176e-03   2.20958e+00
-   2  sg_p1        3.99993e+01   1.77184e+00   7.04451e-02  -2.46019e-02
-   3  sg_p2        1.21002e+00   5.23460e-02   1.24212e-03  -3.03189e+00
-   4  sg_p3        1.46453e+00   6.41490e-02   2.20715e-03   4.63062e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=23288 FROM MIGRAD    STATUS=CONVERGED     405 CALLS         406 TOTAL
-                     EDM=3.27684e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.7 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01831e+03   7.85112e-01  -4.32924e-04  -2.09259e-02
-   2  sg_p1        3.99999e+01   1.83061e+00   8.35977e-03  -1.12946e-02
-   3  sg_p2        1.21288e+00   5.27607e-02   1.33598e-03  -8.93872e-02
-   4  sg_p3        1.46454e+00   6.41540e-02   6.09141e-06  -1.12247e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.165e-01 -9.032e-04  1.537e-02 -1.778e-02 
- -9.032e-04  7.440e-04 -2.479e-05 -1.812e-04 
-  1.537e-02 -2.479e-05  2.784e-03 -1.646e-04 
- -1.778e-02 -1.812e-04 -1.646e-04  4.116e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.50511   1.000 -0.042  0.371 -0.353
-        2  0.13383  -0.042  1.000 -0.017 -0.104
-        3  0.38141   0.371 -0.017  1.000 -0.049
-        4  0.38267  -0.353 -0.104 -0.049  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23288 FROM HESSE     STATUS=OK             27 CALLS         433 TOTAL
-                     EDM=6.045e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01831e+03   7.86243e-01   2.07195e-03   9.46567e-02
-   2  sg_p1        3.99999e+01   1.65716e+00   2.81780e-02   1.56570e+00
-   3  sg_p2        1.21288e+00   5.23867e-02   2.37732e-03  -5.40830e-01
-   4  sg_p3        1.46454e+00   6.37794e-02   2.20581e-03  -6.20643e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.183e-01 -1.323e-04  1.524e-02 -1.755e-02 
- -1.323e-04  6.707e-04 -5.377e-05 -7.207e-05 
-  1.524e-02 -5.377e-05  2.745e-03 -2.465e-04 
- -1.755e-02 -7.207e-05 -2.465e-04  4.068e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49151   1.000 -0.006  0.370 -0.350
-        2  0.06175  -0.006  1.000 -0.040 -0.044
-        3  0.37636   0.370 -0.040  1.000 -0.074
-        4  0.35760  -0.350 -0.044 -0.074  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1018.31 +- 0.786243
-39.9999 +- 1.65716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23875.8 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   4.43398e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -1.77680e+02
-   3  sg_p2        9.21219e-01   5.00000e-01   0.00000e+00   7.52454e+00
-   4  sg_p3        1.40649e+00   7.00000e-01  -6.41185e-01   5.95628e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=7.75608e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01285e+03   8.33665e-01   2.07912e-03   1.70866e-02
-   2  sg_p1        3.98091e+01   8.48923e-01   3.16082e-02  -1.03759e-02
-   3  sg_p2        1.12381e+00   5.95622e-02   2.13485e-03   3.30200e-01
-   4  sg_p3        1.54010e+00   8.22224e-02   2.41055e-03  -1.53820e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  6.951e-01  2.065e-01  2.518e-02 -6.574e-03 
-  2.065e-01  6.697e-01  3.047e-02  3.584e-02 
-  2.518e-02  3.047e-02  3.549e-03  1.365e-03 
- -6.574e-03  3.584e-02  1.365e-03  6.762e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.57532   1.000  0.303  0.507 -0.096
-        2  0.73404   0.303  1.000  0.625  0.533
-        3  0.70991   0.507  0.625  1.000  0.279
-        4  0.59907  -0.096  0.533  0.279  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23798.4 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=7.73708e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01285e+03   8.49657e-01   4.15824e-04  -6.14668e-02
-   2  sg_p1        3.98091e+01   1.04461e+00   1.26433e-03   1.34471e+00
-   3  sg_p2        1.12381e+00   6.43212e-02   4.26970e-04  -5.82935e-01
-   4  sg_p3        1.54010e+00   8.72084e-02   9.64222e-05  -5.94353e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.221e-01  2.723e-01  2.914e-02 -1.973e-03 
-  2.723e-01  8.279e-01  4.043e-02  4.780e-02 
-  2.914e-02  4.043e-02  4.139e-03  2.068e-03 
- -1.973e-03  4.780e-02  2.068e-03  7.608e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59661   1.000  0.352  0.533 -0.027
-        2  0.79068   0.352  1.000  0.691  0.602
-        3  0.75807   0.533  0.691  1.000  0.369
-        4  0.65582  -0.027  0.602  0.369  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1012.85 +- 0.849657
-39.8091 +- 1.04461
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23239.4 FROM MIGRAD    STATUS=INITIATE       64 CALLS          65 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.27750e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00   1.26948e-01
-   3  sg_p2        8.74738e-01   5.00000e-01   0.00000e+00   1.80702e+02
-   4  sg_p3        9.26595e-01   7.00000e-01  -8.26048e-01  -4.27618e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=0.00014251    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01577e+03   8.64818e-01   2.10463e-03   2.40523e-01
-   2  sg_p1        3.99999e+01   1.00303e+00   5.37328e-02  -1.94869e-02
-   3  sg_p2        1.13318e+00   5.62974e-02   2.39200e-03  -5.76330e-02
-   4  sg_p3        1.52247e+00   6.86424e-02   2.34430e-03   1.64373e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.481e-01 -1.096e-03  2.562e-02 -1.857e-02 
- -1.096e-03  4.530e-04 -1.315e-04 -8.807e-05 
-  2.562e-02 -1.315e-04  3.170e-03 -3.976e-04 
- -1.857e-02 -8.807e-05 -3.976e-04  4.713e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.58719   1.000 -0.060  0.526 -0.313
-        2  0.13360  -0.060  1.000 -0.110 -0.060
-        3  0.53513   0.526 -0.110  1.000 -0.103
-        4  0.32913  -0.313 -0.060 -0.103  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23209.7 FROM HESSE     STATUS=OK             29 CALLS         267 TOTAL
-                     EDM=0.000133982    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01577e+03   8.73102e-01   4.20925e-04   2.20882e-02
-   2  sg_p1        3.99999e+01   1.01940e+00   2.14931e-03   1.56537e+00
-   3  sg_p2        1.13318e+00   5.62622e-02   9.56802e-05  -5.78450e-01
-   4  sg_p3        1.52247e+00   7.21948e-02   7.98704e-02  -6.00445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.625e-01  2.144e-04  2.611e-02 -2.173e-02 
-  2.144e-04  4.606e-04  2.659e-05  2.032e-05 
-  2.611e-02  2.659e-05  3.166e-03 -5.636e-04 
- -2.173e-02  2.032e-05 -5.636e-04  5.213e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.59764   1.000  0.011  0.531 -0.345
-        2  0.02791   0.011  1.000  0.022  0.013
-        3  0.53363   0.531  0.022  1.000 -0.139
-        4  0.34900  -0.345  0.013 -0.139  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1015.77 +- 0.873102
-39.9999 +- 1.0194
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=23904.2 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00  -1.58334e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -6.45414e+00
-   3  sg_p2        9.40575e-01   5.00000e-01   0.00000e+00   2.02619e+02
-   4  sg_p3        9.50207e-01   7.00000e-01  -8.16148e-01  -4.42963e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM MIGRAD    STATUS=CONVERGED     250 CALLS         251 TOTAL
-                     EDM=1.36548e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01639e+03   7.28586e-01   2.01823e-03  -1.76359e-02
-   2  sg_p1        4.00000e+01   7.49353e-01   4.69202e-02  -5.91552e-03
-   3  sg_p2        1.26989e+00   5.63661e-02   2.54093e-03   8.80770e-02
-   4  sg_p3        1.53945e+00   6.56083e-02   2.27702e-03  -7.24550e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.309e-01 -7.297e-05  1.348e-02 -1.019e-02 
- -7.297e-05  1.681e-05 -1.973e-05 -2.021e-05 
-  1.348e-02 -1.973e-05  3.178e-03  5.005e-04 
- -1.019e-02 -2.021e-05  5.005e-04  4.305e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41880   1.000 -0.024  0.328 -0.213
-        2  0.10777  -0.024  1.000 -0.085 -0.075
-        3  0.39425   0.328 -0.085  1.000  0.135
-        4  0.31076  -0.213 -0.075  0.135  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=23871.3 FROM HESSE     STATUS=OK             23 CALLS         274 TOTAL
-                     EDM=1.44816e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01639e+03   7.40109e-01   4.03646e-04   3.97032e-02
-   2  sg_p1        4.00000e+01   7.56384e-01   9.38403e-03   1.56958e+00
-   3  sg_p2        1.26989e+00   5.58118e-02   1.01637e-04  -5.14435e-01
-   4  sg_p3        1.53945e+00   6.43105e-02   9.10809e-05  -5.94577e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.478e-01 -1.128e-05  1.525e-02 -1.306e-02 
- -1.128e-05  1.697e-05 -2.641e-06 -2.503e-06 
-  1.525e-02 -2.641e-06  3.116e-03 -1.984e-04 
- -1.306e-02 -2.503e-06 -1.984e-04  4.137e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44819   1.000 -0.004  0.369 -0.274
-        2  0.01546  -0.004  1.000 -0.011 -0.009
-        3  0.37224   0.369 -0.011  1.000 -0.055
-        4  0.27895  -0.274 -0.009 -0.055  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.39 +- 0.740109
-40 +- 0.756384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16426.3 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   2.76971e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -7.40412e+01
-   3  sg_p2        7.53407e-01   5.00000e-01   0.00000e+00  -2.61313e+02
-   4  sg_p3        1.41708e+00   7.00000e-01  -6.37416e-01   3.61680e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM MIGRAD    STATUS=CONVERGED     204 CALLS         205 TOTAL
-                     EDM=1.2739e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01657e+03   9.77555e-01   2.06312e-03  -3.61028e-03
-   2  sg_p1        4.00000e+01   6.78180e-01   3.73477e-02  -7.76696e-03
-   3  sg_p2        1.22238e+00   6.09231e-02   2.33024e-03  -3.84112e-02
-   4  sg_p3        1.49153e+00   9.35612e-02   2.57411e-03  -3.75876e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.559e-01  3.743e-05  2.152e-02 -4.133e-02 
-  3.743e-05  2.111e-05 -9.720e-06 -2.510e-05 
-  2.152e-02 -9.720e-06  3.713e-03 -6.103e-04 
- -4.133e-02 -2.510e-05 -6.103e-04  8.757e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55051   1.000  0.008  0.361 -0.452
-        2  0.07170   0.008  1.000 -0.035 -0.058
-        3  0.36817   0.361 -0.035  1.000 -0.107
-        4  0.45868  -0.452 -0.058 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16380.4 FROM HESSE     STATUS=OK             23 CALLS         228 TOTAL
-                     EDM=1.33694e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01657e+03   9.74476e-01   4.12624e-04   4.48931e-02
-   2  sg_p1        4.00000e+01   6.79952e-01   7.46954e-03   1.56937e+00
-   3  sg_p2        1.22238e+00   6.06205e-02   9.32097e-05  -5.36402e-01
-   4  sg_p3        1.49153e+00   9.34142e-02   1.02965e-04  -6.11196e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.499e-01  5.447e-06  2.083e-02 -4.116e-02 
-  5.447e-06  2.117e-05 -1.283e-06 -3.388e-06 
-  2.083e-02 -1.283e-06  3.676e-03 -5.904e-04 
- -4.116e-02 -3.388e-06 -5.904e-04  8.729e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54649   1.000  0.001  0.353 -0.452
-        2  0.00962   0.001  1.000 -0.005 -0.008
-        3  0.35791   0.353 -0.005  1.000 -0.104
-        4  0.45594  -0.452 -0.008 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.57 +- 0.974476
-40 +- 0.679952
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [750,1250] --> [750,1250]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [750,1250]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [850,1150]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33287.9 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01500e+03   7.00000e+00   0.00000e+00   3.29127e+02
-   2  sg_p1        3.25000e+01   1.50000e+00   0.00000e+00  -2.09458e+02
-   3  sg_p2        8.91728e-01   5.00000e-01   0.00000e+00   7.37516e+01
-   4  sg_p3        1.41601e+00   7.00000e-01  -6.37796e-01   6.89934e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM MIGRAD    STATUS=CONVERGED     218 CALLS         219 TOTAL
-                     EDM=5.9663e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        1.01659e+03   6.86602e-01   2.06298e-03   6.23454e-02
-   2  sg_p1        4.00000e+01   3.36413e-01   3.74809e-02** at limit **
-   3  sg_p2        1.22194e+00   4.27738e-02   2.32926e-03  -6.40806e-02
-   4  sg_p3        1.49222e+00   6.57997e-02   2.57024e-03  -1.52134e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.715e-01  8.305e-06  1.061e-02 -2.041e-02 
-  8.305e-06  1.928e-06 -2.165e-06 -5.598e-06 
-  1.061e-02 -2.165e-06  1.830e-03 -3.008e-04 
- -2.041e-02 -5.598e-06 -3.008e-04  4.330e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55055   1.000  0.009  0.361 -0.452
-        2  0.07527   0.009  1.000 -0.036 -0.061
-        3  0.36846   0.361 -0.036  1.000 -0.107
-        4  0.45894  -0.452 -0.061 -0.107  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33210.9 FROM HESSE     STATUS=OK             23 CALLS         242 TOTAL
-                     EDM=6.1799e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        1.01659e+03   6.84411e-01   4.12596e-04   4.54194e-02
-   2  sg_p1        4.00000e+01   3.37160e-01   7.49617e-03   1.57018e+00
-                                 WARNING -   - ABOVE PARAMETER IS AT LIMIT.
-   3  sg_p2        1.22194e+00   4.25566e-02   9.31704e-05  -5.36608e-01
-   4  sg_p3        1.49222e+00   6.56863e-02   1.02809e-04  -6.10958e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.685e-01  1.563e-06  1.027e-02 -2.032e-02 
-  1.563e-06  1.932e-06 -3.692e-07 -9.768e-07 
-  1.027e-02 -3.692e-07  1.811e-03 -2.913e-04 
- -2.032e-02 -9.768e-07 -2.913e-04  4.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54648   1.000  0.002  0.353 -0.452
-        2  0.01305   0.002  1.000 -0.006 -0.011
-        3  0.35799   0.353 -0.006  1.000 -0.104
-        4  0.45593  -0.452 -0.011 -0.104  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-1000
-1016.59 +- 0.684411
-40 +- 0.33716
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 1016.58 +- 0.810249 (stat) - 3.72609 + 1.73193 (syst); -3.74805/+1.77868 (total)
-   Uncertainty on sg_p1 = 40 +- 0.469104 (stat) - 0.190863 + 0 (syst); -0.302396/+0.234552 (total)
-   Uncertainty on sg_p2 = 1.2224 +- 0.0504194 (stat) - 0.0985888 + 0.0474949 (syst); -0.101761/+0.0537708 (total)
-   Uncertainty on sg_p3 = 1.49206 +- 0.0777461 (stat) - 0.0275125 + 0.0480377 (syst); -0.0476241/+0.0617959 (total)
-   === Baseline plot === </br>
-   norm = 330.727
-JEC     lnN   1.01006  -
-JER     lnN   1.0152  -
-btag    lnN   1.35523  -
-sg_p0   param   1016.58 -3.74805/+1.77868
-sg_p1   param   40 -0.302396/+0.234552
-sg_p2   param   1.2224  -0.101761/+0.0537708
-sg_p3   param   1.49206  -0.0476241/+0.0617959
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
deleted file mode 100644
index be6eee0..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Info in <Minuit2>: MinuReal time 0:00:00, CP time 0.080
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.35746  0.0184017/+1.67793  (68% CL)
-nll S+B -> -0.00200164  nll B -> -1.1697e-05
-Done in 0.01 min (cpu), 0.01 min (real)
-inosErrors>: Minos error calculation failed for all parameters
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
deleted file mode 100644
index ffdb2aa..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 14.053764:	q_mu = 3.83199	q_A  = 3.83216	CLsb = 0.02514	CLb  = 0.50002	CLs  = 0.05028
-
- -- Asymptotic -- 
-Observed Limit: r < 14.0538
-Expected  2.5%: r < 7.5256
-Expected 16.0%: r < 10.0536
-Expected 50.0%: r < 14.0625
-Expected 84.0%: r < 20.1724
-Expected 97.5%: r < 28.0258
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt
deleted file mode 100644
index 8988606..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  2.47576 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06518    -
-JER       lnN     1.01484   - 
-JEC       lnN     1.02905   -
-trigger   lnN     1.10    -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/signal550_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/signal550_sig.log
deleted file mode 100644
index 95176bb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_crystal_1_550_1200/signal550_sig.log
+++ /dev/null
@@ -1,949 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   8.36856e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -2.13036e+02
-   3  sg_p2        9.96389e-01   5.00000e-01   0.00000e+00  -2.10001e+01
-   4  sg_p3        1.33793e+00   7.00000e-01  -6.65859e-01   1.43037e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05392 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM MIGRAD    STATUS=CONVERGED     433 CALLS         434 TOTAL
-                     EDM=1.19101e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.41842e+02   5.12497e-01   1.51068e-03   3.12657e-02
-   2  sg_p1        2.95617e+01   3.82692e-01   3.23918e-03   3.18610e-03
-   3  sg_p2        2.26823e+00   2.06532e-01   7.22656e-03  -7.81355e-04
-   4  sg_p3        3.13392e+00   1.77814e+00   6.15202e-02  -1.76290e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.627e-01  2.925e-03  9.483e-03 -3.748e-10 
-  2.925e-03  1.465e-01  1.367e-02 -4.881e-11 
-  9.483e-03  1.367e-02  4.275e-02 -1.530e-10 
- -3.748e-10 -4.881e-11 -1.530e-10  3.483e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08948   1.000  0.015  0.089 -0.000
-        2  0.17277   0.015  1.000  0.173 -0.000
-        3  0.19340   0.089  0.173  1.000 -0.000
-        4  0.00000  -0.000 -0.000 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM HESSE     STATUS=OK             29 CALLS         463 TOTAL
-                     EDM=3.87994e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.41842e+02   5.12297e-01   3.02136e-04   6.14367e-02
-   2  sg_p1        2.95617e+01   3.82068e-01   1.29567e-04   6.00358e-01
-   3  sg_p2        2.26823e+00   2.05837e-01   2.89062e-04  -9.28432e-02
-   4  sg_p3        3.13392e+00   6.62343e-01   3.58606e-01  -1.04787e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.625e-01  2.466e-03  8.976e-03  1.615e-11 
-  2.466e-03  1.460e-01  1.286e-02  2.313e-11 
-  8.976e-03  1.286e-02  4.247e-02  7.639e-11 
-  1.615e-11  2.313e-11  7.639e-11  4.441e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08503   1.000  0.013  0.085  0.000
-        2  0.16331   0.013  1.000  0.163  0.000
-        3  0.18317   0.085  0.163  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-541.842 +- 0.512297
-29.5617 +- 0.382068
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16779.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00  -8.37041e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.07475e+02
-   3  sg_p2        8.65799e-01   5.00000e-01   0.00000e+00  -7.40551e+01
-   4  sg_p3        1.35564e+00   7.00000e-01  -6.59439e-01   6.28488e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             27 CALLS         282 TOTAL
-                     EDM=0.102246    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44552e+02   5.08282e-01   1.52398e-03  -1.54852e-01
-   2  sg_p1        2.95922e+01   3.76777e-01   3.22494e-03  -3.69769e-02
-   3  sg_p2        2.45278e+00   3.27164e-01   1.16491e-02   1.26745e-02
-   4  sg_p3        3.35460e+00   1.18039e+00   3.11390e-01  -1.31335e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16685.9 FROM MIGRAD    STATUS=CONVERGED     295 CALLS         296 TOTAL
-                     EDM=2.81269e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44554e+02   5.08278e-01   4.34002e-05  -1.50856e-04
-   2  sg_p1        2.95926e+01   3.76767e-01   4.09576e-05  -4.62961e-04
-   3  sg_p2        2.45238e+00   3.27162e-01  -1.58660e-04  -1.77907e-03
-   4  sg_p3        3.89863e+00   1.17372e+00   1.55695e-01   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.584e-01  3.013e-03  1.443e-02  3.104e-05 
-  3.013e-03  1.420e-01  2.058e-02  5.573e-05 
-  1.443e-02  2.058e-02  1.077e-01  2.055e-04 
-  3.104e-05  5.573e-05  2.055e-04  1.433e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08655   1.000  0.016  0.087  0.000
-        2  0.16643   0.016  1.000  0.166  0.000
-        3  0.18640   0.087  0.166  1.000  0.001
-        4  0.00052   0.000  0.000  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             31 CALLS         327 TOTAL
-                     EDM=0.378043    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.44554e+02   5.08418e-01   1.52334e-03   1.52374e-01
-   2  sg_p1        2.95926e+01   3.77155e-01   1.28998e-03   6.03355e-01
-   3  sg_p2        2.45238e+00   3.27373e-01   4.65962e-03  -1.90491e-02
-   4  sg_p3        3.89863e+00   1.40113e+00   5.10000e-01   1.14141e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.585e-01  3.222e-03  1.491e-02  4.426e-12 
-  3.222e-03  1.423e-01  2.127e-02 -3.793e-11 
-  1.491e-02  2.127e-02  1.078e-01  3.265e-11 
-  4.426e-12 -3.793e-11  3.265e-11  2.080e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08933   1.000  0.017  0.089  0.000
-        2  0.17177   0.017  1.000  0.172 -0.000
-        3  0.19229   0.089  0.172  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-544.554 +- 0.508418
-29.5926 +- 0.377155
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15773.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   1.21147e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.80759e+02
-   3  sg_p2        1.10607e+00   5.00000e-01   0.00000e+00  -3.61854e+01
-   4  sg_p3        1.15878e+00   7.00000e-01  -7.32755e-01   8.10605e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.37034 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM MIGRAD    STATUS=CONVERGED     357 CALLS         358 TOTAL
-                     EDM=1.29397e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.39647e+02   5.17185e-01   1.48655e-03  -1.89345e-02
-   2  sg_p1        2.91881e+01   3.85671e-01   3.11579e-03   3.89872e-03
-   3  sg_p2        2.31906e+00   2.28533e-01   7.79945e-03  -3.76001e-04
-   4  sg_p3        3.12530e+00   1.84829e+00   8.28757e-02  -7.72724e-05
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.675e-01  1.706e-03  1.012e-02  1.242e-12 
-  1.706e-03  1.488e-01  1.489e-02  1.083e-10 
-  1.012e-02  1.489e-02  5.237e-02  1.084e-11 
-  1.242e-12  1.083e-10  1.084e-11  3.797e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08574   1.000  0.009  0.086  0.000
-        2  0.16875   0.009  1.000  0.169  0.000
-        3  0.18845   0.086  0.169  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM HESSE     STATUS=OK             27 CALLS         385 TOTAL
-                     EDM=0.802787    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.39647e+02   5.17333e-01   2.97309e-04  -1.17805e-02
-   2  sg_p1        2.91881e+01   3.86088e-01   1.24632e-04   5.64568e-01
-   3  sg_p2        2.31906e+00   2.28870e-01   3.11978e-04  -7.24379e-02
-   4  sg_p3        3.12530e+00   7.00822e-01   3.63374e-01  -1.07263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.677e-01  1.770e-03  1.052e-02  3.022e-11 
-  1.770e-03  1.491e-01  1.546e-02 -6.678e-11 
-  1.052e-02  1.546e-02  5.253e-02  4.080e-11 
-  3.022e-11 -6.678e-11  4.080e-11  4.979e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08899   1.000  0.009  0.089  0.000
-        2  0.17483   0.009  1.000  0.175 -0.000
-        3  0.19525   0.089  0.175  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-539.647 +- 0.517333
-29.1881 +- 0.386088
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14837.3 FROM MIGRAD    STATUS=INITIATE       51 CALLS          52 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.62915e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.92186e+02
-   3  sg_p2        1.33485e+00   5.00000e-01   0.00000e+00   1.12519e+02
-   4  sg_p3        1.63806e+00   7.00000e-01  -5.60940e-01   1.42255e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM MIGRAD    STATUS=CONVERGED     175 CALLS         176 TOTAL
-                     EDM=1.79394e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57153e+02   3.21384e-01   1.00803e-03  -2.87826e-01
-   2  sg_p1        1.59907e+01   2.94249e-01   1.95331e-03  -7.46933e-02
-   3  sg_p2        1.40719e+00   6.63431e-02   1.98696e-03   1.23037e-01
-   4  sg_p3        1.40947e+00   6.04329e-02   1.61506e-03   3.47616e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.033e-01  1.010e-02  6.404e-03 -2.894e-03 
-  1.010e-02  8.661e-02  1.063e-02  7.128e-03 
-  6.404e-03  1.063e-02  4.403e-03  8.132e-04 
- -2.894e-03  7.128e-03  8.132e-04  3.653e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36907   1.000  0.107  0.300 -0.149
-        2  0.62006   0.107  1.000  0.545  0.401
-        3  0.59757   0.300  0.545  1.000  0.203
-        4  0.44647  -0.149  0.401  0.203  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM HESSE     STATUS=OK             23 CALLS         199 TOTAL
-                     EDM=1.79239e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57153e+02   3.21538e-01   2.01606e-04   8.62318e-02
-   2  sg_p1        1.59907e+01   2.94927e-01   3.90662e-04   9.92360e-02
-   3  sg_p2        1.40719e+00   6.64804e-02   7.94782e-05  -4.52397e-01
-   4  sg_p3        1.40947e+00   6.05049e-02   6.46026e-05  -6.40123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.034e-01  1.015e-02  6.439e-03 -2.895e-03 
-  1.015e-02  8.701e-02  1.072e-02  7.193e-03 
-  6.439e-03  1.072e-02  4.421e-03  8.247e-04 
- -2.895e-03  7.193e-03  8.247e-04  3.661e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37018   1.000  0.107  0.301 -0.149
-        2  0.62233   0.107  1.000  0.547  0.403
-        3  0.59978   0.301  0.547  1.000  0.205
-        4  0.44859  -0.149  0.403  0.205  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.153 +- 0.321538
-15.9907 +- 0.294927
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.5 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -4.27508e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00   5.60673e+01
-   3  sg_p2        9.57872e-01   5.00000e-01   0.00000e+00  -1.96076e+02
-   4  sg_p3        1.43385e+00   7.00000e-01  -6.31466e-01   3.52996e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM MIGRAD    STATUS=CONVERGED     145 CALLS         146 TOTAL
-                     EDM=1.59039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58875e+02   3.28831e-01   1.01097e-03   2.51867e-01
-   2  sg_p1        1.50106e+01   3.27326e-01   1.94006e-03  -7.48907e-02
-   3  sg_p2        1.28146e+00   5.35843e-02   1.64296e-03  -7.25386e-02
-   4  sg_p3        1.13283e+00   5.00773e-02   1.24085e-03   1.93411e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.081e-01 -1.435e-02  2.668e-03 -5.685e-03 
- -1.435e-02  1.072e-01  9.872e-03  9.778e-03 
-  2.668e-03  9.872e-03  2.872e-03  8.529e-04 
- -5.685e-03  9.778e-03  8.529e-04  2.508e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44454   1.000 -0.133  0.151 -0.345
-        2  0.71564  -0.133  1.000  0.563  0.596
-        3  0.61000   0.151  0.563  1.000  0.318
-        4  0.65614  -0.345  0.596  0.318  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM HESSE     STATUS=OK             23 CALLS         169 TOTAL
-                     EDM=1.59031e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58875e+02   3.28953e-01   2.02195e-04   1.55611e-01
-   2  sg_p1        1.50106e+01   3.28179e-01   3.88013e-04   1.06416e-03
-   3  sg_p2        1.28146e+00   5.36907e-02   6.57184e-05  -5.09126e-01
-   4  sg_p3        1.13283e+00   5.01651e-02   2.48171e-04  -7.42776e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.082e-01 -1.448e-02  2.668e-03 -5.699e-03 
- -1.448e-02  1.077e-01  9.953e-03  9.852e-03 
-  2.668e-03  9.953e-03  2.883e-03  8.627e-04 
- -5.699e-03  9.852e-03  8.627e-04  2.517e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44521   1.000 -0.134  0.151 -0.345
-        2  0.71741  -0.134  1.000  0.565  0.598
-        3  0.61203   0.151  0.565  1.000  0.320
-        4  0.65766  -0.345  0.598  0.320  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.875 +- 0.328953
-15.0106 +- 0.328179
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14133.8 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.22550e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -8.95889e+01
-   3  sg_p2        1.26916e+00   5.00000e-01   0.00000e+00   3.67893e+01
-   4  sg_p3        1.35775e+00   7.00000e-01  -6.58678e-01  -5.62243e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM MIGRAD    STATUS=CONVERGED     210 CALLS         211 TOTAL
-                     EDM=0.000238073    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.56327e+02   3.14482e-01   9.83418e-04   8.55741e-01
-   2  sg_p1        1.57284e+01   2.76951e-01   1.90229e-03  -1.45089e-01
-   3  sg_p2        1.38542e+00   5.70093e-02   1.81418e-03   3.93447e-01
-   4  sg_p3        1.37775e+00   5.81896e-02   1.54738e-03   1.23982e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.890e-02  1.894e-03  3.842e-03 -3.325e-03 
-  1.894e-03  7.672e-02  7.163e-03  6.201e-03 
-  3.842e-03  7.163e-03  3.251e-03  5.637e-04 
- -3.325e-03  6.201e-03  5.637e-04  3.387e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30810   1.000  0.022  0.214 -0.182
-        2  0.55065   0.022  1.000  0.454  0.385
-        3  0.49896   0.214  0.454  1.000  0.170
-        4  0.43088  -0.182  0.385  0.170  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM HESSE     STATUS=OK             23 CALLS         234 TOTAL
-                     EDM=0.000238571    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.56327e+02   3.14566e-01   1.96684e-04   5.31070e-02
-   2  sg_p1        1.57284e+01   2.77362e-01   3.80459e-04   7.29003e-02
-   3  sg_p2        1.38542e+00   5.70763e-02   3.62837e-04  -4.62101e-01
-   4  sg_p3        1.37775e+00   5.82399e-02   3.09477e-04  -6.51471e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.896e-02  1.863e-03  3.856e-03 -3.331e-03 
-  1.863e-03  7.695e-02  7.208e-03  6.244e-03 
-  3.856e-03  7.208e-03  3.258e-03  5.699e-04 
- -3.331e-03  6.244e-03  5.699e-04  3.392e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30889   1.000  0.021  0.215 -0.182
-        2  0.55252   0.021  1.000  0.455  0.386
-        3  0.50072   0.215  0.455  1.000  0.171
-        4  0.43251  -0.182  0.386  0.171  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-556.327 +- 0.314566
-15.7284 +- 0.277362
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14534.5 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.04994e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.14427e+02
-   3  sg_p2        1.18464e+00   5.00000e-01   0.00000e+00   9.96830e+01
-   4  sg_p3        1.38937e+00   7.00000e-01  -6.47305e-01   1.30603e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM MIGRAD    STATUS=CONVERGED     185 CALLS         186 TOTAL
-                     EDM=5.50119e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58137e+02   3.32100e-01   9.95556e-04   1.68841e-01
-   2  sg_p1        1.48812e+01   3.22440e-01   1.91611e-03   3.95624e-02
-   3  sg_p2        1.27842e+00   5.09588e-02   1.60067e-03  -7.54823e-02
-   4  sg_p3        1.11410e+00   4.98337e-02   1.21814e-03   6.18485e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.103e-01 -2.020e-02  1.794e-03 -6.256e-03 
- -2.020e-02  1.040e-01  8.614e-03  9.577e-03 
-  1.794e-03  8.614e-03  2.597e-03  7.646e-04 
- -6.256e-03  9.577e-03  7.646e-04  2.484e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44749   1.000 -0.189  0.106 -0.378
-        2  0.69890  -0.189  1.000  0.524  0.596
-        3  0.56724   0.106  0.524  1.000  0.301
-        4  0.65666  -0.378  0.596  0.301  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM HESSE     STATUS=OK             23 CALLS         209 TOTAL
-                     EDM=5.49735e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58137e+02   3.32253e-01   1.99111e-04   1.25809e-01
-   2  sg_p1        1.48812e+01   3.23301e-01   7.66446e-05  -1.18793e-02
-   3  sg_p2        1.27842e+00   5.10516e-02   6.40269e-05  -5.10521e-01
-   4  sg_p3        1.11410e+00   4.99281e-02   4.87255e-05  -7.50065e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.104e-01 -2.039e-02  1.786e-03 -6.279e-03 
- -2.039e-02  1.046e-01  8.688e-03  9.654e-03 
-  1.786e-03  8.688e-03  2.607e-03  7.739e-04 
- -6.279e-03  9.654e-03  7.739e-04  2.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44831   1.000 -0.190  0.105 -0.378
-        2  0.70084  -0.190  1.000  0.526  0.598
-        3  0.56941   0.105  0.526  1.000  0.304
-        4  0.65830  -0.378  0.598  0.304  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.137 +- 0.332253
-14.8812 +- 0.323301
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14860.1 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.96476e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.39102e+02
-   3  sg_p2        1.31219e+00   5.00000e-01   0.00000e+00   8.51723e+01
-   4  sg_p3        1.40309e+00   7.00000e-01  -6.42399e-01  -3.16309e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=2.32867e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57839e+02   3.16310e-01   9.64235e-04  -9.53938e-03
-   2  sg_p1        1.45911e+01   3.04213e-01   1.85567e-03  -1.11765e-02
-   3  sg_p2        1.30884e+00   5.20626e-02   1.65224e-03   2.13112e-02
-   4  sg_p3        1.13165e+00   4.90247e-02   1.22393e-03   1.25630e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.679e-02  1.892e-03 -5.645e-03 
- -1.679e-02  9.257e-02  8.162e-03  8.712e-03 
-  1.892e-03  8.162e-03  2.711e-03  7.376e-04 
- -5.645e-03  8.712e-03  7.376e-04  2.404e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43494   1.000 -0.174  0.115 -0.364
-        2  0.68887  -0.174  1.000  0.515  0.584
-        3  0.55849   0.115  0.515  1.000  0.289
-        4  0.64393  -0.364  0.584  0.289  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM HESSE     STATUS=OK             23 CALLS         230 TOTAL
-                     EDM=2.3344e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57839e+02   3.16455e-01   3.85694e-05   1.13812e-01
-   2  sg_p1        1.45911e+01   3.05011e-01   7.42270e-05  -4.09030e-02
-   3  sg_p2        1.30884e+00   5.21549e-02   6.60897e-05  -4.96630e-01
-   4  sg_p3        1.13165e+00   4.91147e-02   4.89571e-05  -7.43231e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.696e-02  1.886e-03 -5.665e-03 
- -1.696e-02  9.306e-02  8.232e-03  8.781e-03 
-  1.886e-03  8.232e-03  2.721e-03  7.467e-04 
- -5.665e-03  8.781e-03  7.467e-04  2.413e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43580   1.000 -0.176  0.114 -0.364
-        2  0.69086  -0.176  1.000  0.517  0.586
-        3  0.56066   0.114  0.517  1.000  0.291
-        4  0.64559  -0.364  0.586  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.839 +- 0.316455
-14.5911 +- 0.305011
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13882.6 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.85565e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -4.99994e+01
-   3  sg_p2        1.14901e+00   5.00000e-01  -8.51477e-02   2.28635e+00
-   4  sg_p3        1.41391e+00   7.00000e-01   0.00000e+00   1.79604e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=1.65564e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57980e+02   3.34363e-01   9.81953e-04   6.44675e-02
-   2  sg_p1        1.47979e+01   3.20681e-01   1.89110e-03   8.04335e-02
-   3  sg_p2        1.31085e+00   5.36609e-02   1.65482e-03  -1.47147e-01
-   4  sg_p3        1.12068e+00   5.06777e-02   1.22086e-03   1.27989e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.118e-01 -2.084e-02  1.817e-03 -6.408e-03 
- -2.084e-02  1.029e-01  8.748e-03  9.557e-03 
-  1.817e-03  8.748e-03  2.880e-03  7.828e-04 
- -6.408e-03  9.557e-03  7.828e-04  2.569e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44246   1.000 -0.194  0.101 -0.378
-        2  0.68849  -0.194  1.000  0.508  0.588
-        3  0.55062   0.101  0.508  1.000  0.288
-        4  0.64866  -0.378  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=1.65875e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57980e+02   3.34499e-01   1.96391e-04   1.19503e-01
-   2  sg_p1        1.47979e+01   3.21384e-01   3.78219e-04  -2.02134e-02
-   3  sg_p2        1.31085e+00   5.37405e-02   3.30963e-04  -4.95716e-01
-   4  sg_p3        1.12068e+00   5.07549e-02   2.44171e-04  -7.47499e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.119e-01 -2.101e-02  1.811e-03 -6.428e-03 
- -2.101e-02  1.033e-01  8.812e-03  9.620e-03 
-  1.811e-03  8.812e-03  2.889e-03  7.908e-04 
- -6.428e-03  9.620e-03  7.908e-04  2.576e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44320   1.000 -0.195  0.101 -0.379
-        2  0.69016  -0.195  1.000  0.510  0.590
-        3  0.55249   0.101  0.510  1.000  0.290
-        4  0.65002  -0.379  0.590  0.290  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.98 +- 0.334499
-14.7979 +- 0.321384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15819.8 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.00618e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.06424e+02
-   3  sg_p2        1.24250e+00   5.00000e-01   0.00000e+00   8.72112e+01
-   4  sg_p3        1.58707e+00   7.00000e-01  -5.78240e-01   1.36356e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=3.72733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57991e+02   3.13470e-01   9.81807e-04   1.43269e-02
-   2  sg_p1        1.48025e+01   3.00871e-01   1.88933e-03   1.01623e-01
-   3  sg_p2        1.30793e+00   5.01308e-02   1.66000e-03  -7.41075e-02
-   4  sg_p3        1.12096e+00   4.75155e-02   1.22457e-03  -3.73256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.827e-02 -1.818e-02  1.608e-03 -5.619e-03 
- -1.818e-02  9.055e-02  7.685e-03  8.406e-03 
-  1.608e-03  7.685e-03  2.514e-03  6.873e-04 
- -5.619e-03  8.406e-03  6.873e-04  2.258e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44218   1.000 -0.193  0.102 -0.377
-        2  0.68889  -0.193  1.000  0.509  0.588
-        3  0.55187   0.102  0.509  1.000  0.288
-        4  0.64863  -0.377  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=3.72671e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57991e+02   3.13600e-01   1.96361e-04   1.19946e-01
-   2  sg_p1        1.48025e+01   3.01553e-01   3.77865e-04  -1.97513e-02
-   3  sg_p2        1.30793e+00   5.02105e-02   6.64000e-05  -4.97043e-01
-   4  sg_p3        1.12096e+00   4.75893e-02   2.44915e-04  -7.47388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.835e-02 -1.832e-02  1.604e-03 -5.636e-03 
- -1.832e-02  9.096e-02  7.744e-03  8.463e-03 
-  1.604e-03  7.744e-03  2.522e-03  6.946e-04 
- -5.636e-03  8.463e-03  6.946e-04  2.265e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44293   1.000 -0.194  0.102 -0.378
-        2  0.69061  -0.194  1.000  0.511  0.590
-        3  0.55387   0.102  0.511  1.000  0.291
-        4  0.65001  -0.378  0.590  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.991 +- 0.3136
-14.8025 +- 0.301553
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 557.153 +- 0.321538 (stat) - 0.826073 + 1.72147 (syst); -0.841572/+1.72896 (total)
-   Uncertainty on sg_p1 = 15.9907 +- 0.294927 (stat) - 1.39965 + 0 (syst); -1.40739/+0.147463 (total)
-   Uncertainty on sg_p2 = 1.40719 +- 0.0664804 (stat) - 0.128774 + 0 (syst); -0.132995/+0.0332402 (total)
-   Uncertainty on sg_p3 = 1.40947 +- 0.0605049 (stat) - 0.295372 + 0 (syst); -0.296917/+0.0302524 (total)
-   === Baseline plot === </br>
-   norm = 123.788
-JEC     lnN   1.02905  -
-JER     lnN   1.01484  -
-btag    lnN   1.06518  -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
deleted file mode 100644
index 760a440..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 1.16012  -1.16012/+1.83988  (68% CL)
-nll S+B -> -0.00971174  nll B -> -0.000957456
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
deleted file mode 100644
index c08aacb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 20.718632:	q_mu = 3.85595	q_A  = 3.82826	CLsb = 0.02478	CLb  = 0.49718	CLs  = 0.04985
-
- -- Asymptotic -- 
-Observed Limit: r < 20.7186
-Expected  2.5%: r < 11.1786
-Expected 16.0%: r < 14.7913
-Expected 50.0%: r < 20.8125
-Expected 84.0%: r < 30.0210
-Expected 97.5%: r < 42.6260
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
deleted file mode 100644
index 1c00fc4..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_550.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  2.47576 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06518    -
-JER       lnN     1.01484   - 
-JEC       lnN     1.02905   -
-trigger   lnN     1.10    -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/signal550_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/signal550_sig.log
deleted file mode 100644
index 95176bb..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_550_novo_550_1200/signal550_sig.log
+++ /dev/null
@@ -1,949 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16548.5 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   8.36856e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -2.13036e+02
-   3  sg_p2        9.96389e-01   5.00000e-01   0.00000e+00  -2.10001e+01
-   4  sg_p3        1.33793e+00   7.00000e-01  -6.65859e-01   1.43037e+02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.05392 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM MIGRAD    STATUS=CONVERGED     433 CALLS         434 TOTAL
-                     EDM=1.19101e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.41842e+02   5.12497e-01   1.51068e-03   3.12657e-02
-   2  sg_p1        2.95617e+01   3.82692e-01   3.23918e-03   3.18610e-03
-   3  sg_p2        2.26823e+00   2.06532e-01   7.22656e-03  -7.81355e-04
-   4  sg_p3        3.13392e+00   1.77814e+00   6.15202e-02  -1.76290e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.627e-01  2.925e-03  9.483e-03 -3.748e-10 
-  2.925e-03  1.465e-01  1.367e-02 -4.881e-11 
-  9.483e-03  1.367e-02  4.275e-02 -1.530e-10 
- -3.748e-10 -4.881e-11 -1.530e-10  3.483e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08948   1.000  0.015  0.089 -0.000
-        2  0.17277   0.015  1.000  0.173 -0.000
-        3  0.19340   0.089  0.173  1.000 -0.000
-        4  0.00000  -0.000 -0.000 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16467.8 FROM HESSE     STATUS=OK             29 CALLS         463 TOTAL
-                     EDM=3.87994e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.41842e+02   5.12297e-01   3.02136e-04   6.14367e-02
-   2  sg_p1        2.95617e+01   3.82068e-01   1.29567e-04   6.00358e-01
-   3  sg_p2        2.26823e+00   2.05837e-01   2.89062e-04  -9.28432e-02
-   4  sg_p3        3.13392e+00   6.62343e-01   3.58606e-01  -1.04787e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.625e-01  2.466e-03  8.976e-03  1.615e-11 
-  2.466e-03  1.460e-01  1.286e-02  2.313e-11 
-  8.976e-03  1.286e-02  4.247e-02  7.639e-11 
-  1.615e-11  2.313e-11  7.639e-11  4.441e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08503   1.000  0.013  0.085  0.000
-        2  0.16331   0.013  1.000  0.163  0.000
-        3  0.18317   0.085  0.163  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-541.842 +- 0.512297
-29.5617 +- 0.382068
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=16779.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00  -8.37041e+01
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.07475e+02
-   3  sg_p2        8.65799e-01   5.00000e-01   0.00000e+00  -7.40551e+01
-   4  sg_p3        1.35564e+00   7.00000e-01  -6.59439e-01   6.28488e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             27 CALLS         282 TOTAL
-                     EDM=0.102246    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44552e+02   5.08282e-01   1.52398e-03  -1.54852e-01
-   2  sg_p1        2.95922e+01   3.76777e-01   3.22494e-03  -3.69769e-02
-   3  sg_p2        2.45278e+00   3.27164e-01   1.16491e-02   1.26745e-02
-   4  sg_p3        3.35460e+00   1.18039e+00   3.11390e-01  -1.31335e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=16685.9 FROM MIGRAD    STATUS=CONVERGED     295 CALLS         296 TOTAL
-                     EDM=2.81269e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.44554e+02   5.08278e-01   4.34002e-05  -1.50856e-04
-   2  sg_p1        2.95926e+01   3.76767e-01   4.09576e-05  -4.62961e-04
-   3  sg_p2        2.45238e+00   3.27162e-01  -1.58660e-04  -1.77907e-03
-   4  sg_p3        3.89863e+00   1.17372e+00   1.55695e-01   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.584e-01  3.013e-03  1.443e-02  3.104e-05 
-  3.013e-03  1.420e-01  2.058e-02  5.573e-05 
-  1.443e-02  2.058e-02  1.077e-01  2.055e-04 
-  3.104e-05  5.573e-05  2.055e-04  1.433e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08655   1.000  0.016  0.087  0.000
-        2  0.16643   0.016  1.000  0.166  0.000
-        3  0.18640   0.087  0.166  1.000  0.001
-        4  0.00052   0.000  0.000  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=16685.9 FROM HESSE     STATUS=OK             31 CALLS         327 TOTAL
-                     EDM=0.378043    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.44554e+02   5.08418e-01   1.52334e-03   1.52374e-01
-   2  sg_p1        2.95926e+01   3.77155e-01   1.28998e-03   6.03355e-01
-   3  sg_p2        2.45238e+00   3.27373e-01   4.65962e-03  -1.90491e-02
-   4  sg_p3        3.89863e+00   1.40113e+00   5.10000e-01   1.14141e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.585e-01  3.222e-03  1.491e-02  4.426e-12 
-  3.222e-03  1.423e-01  2.127e-02 -3.793e-11 
-  1.491e-02  2.127e-02  1.078e-01  3.265e-11 
-  4.426e-12 -3.793e-11  3.265e-11  2.080e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08933   1.000  0.017  0.089  0.000
-        2  0.17177   0.017  1.000  0.172 -0.000
-        3  0.19229   0.089  0.172  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-544.554 +- 0.508418
-29.5926 +- 0.377155
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [350,750] --> [350,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [350,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [450,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15773.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.40000e+02   6.00000e+00   0.00000e+00   1.21147e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.80759e+02
-   3  sg_p2        1.10607e+00   5.00000e-01   0.00000e+00  -3.61854e+01
-   4  sg_p3        1.15878e+00   7.00000e-01  -7.32755e-01   8.10605e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.37034 added to diagonal of error matrix
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM MIGRAD    STATUS=CONVERGED     357 CALLS         358 TOTAL
-                     EDM=1.29397e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.39647e+02   5.17185e-01   1.48655e-03  -1.89345e-02
-   2  sg_p1        2.91881e+01   3.85671e-01   3.11579e-03   3.89872e-03
-   3  sg_p2        2.31906e+00   2.28533e-01   7.79945e-03  -3.76001e-04
-   4  sg_p3        3.12530e+00   1.84829e+00   8.28757e-02  -7.72724e-05
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.675e-01  1.706e-03  1.012e-02  1.242e-12 
-  1.706e-03  1.488e-01  1.489e-02  1.083e-10 
-  1.012e-02  1.489e-02  5.237e-02  1.084e-11 
-  1.242e-12  1.083e-10  1.084e-11  3.797e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08574   1.000  0.009  0.086  0.000
-        2  0.16875   0.009  1.000  0.169  0.000
-        3  0.18845   0.086  0.169  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15704.6 FROM HESSE     STATUS=OK             27 CALLS         385 TOTAL
-                     EDM=0.802787    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.39647e+02   5.17333e-01   2.97309e-04  -1.17805e-02
-   2  sg_p1        2.91881e+01   3.86088e-01   1.24632e-04   5.64568e-01
-   3  sg_p2        2.31906e+00   2.28870e-01   3.11978e-04  -7.24379e-02
-   4  sg_p3        3.12530e+00   7.00822e-01   3.63374e-01  -1.07263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.677e-01  1.770e-03  1.052e-02  3.022e-11 
-  1.770e-03  1.491e-01  1.546e-02 -6.678e-11 
-  1.052e-02  1.546e-02  5.253e-02  4.080e-11 
-  3.022e-11 -6.678e-11  4.080e-11  4.979e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08899   1.000  0.009  0.089  0.000
-        2  0.17483   0.009  1.000  0.175 -0.000
-        3  0.19525   0.089  0.175  1.000  0.000
-        4  0.00000   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-539.647 +- 0.517333
-29.1881 +- 0.386088
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14837.3 FROM MIGRAD    STATUS=INITIATE       51 CALLS          52 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.62915e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.92186e+02
-   3  sg_p2        1.33485e+00   5.00000e-01   0.00000e+00   1.12519e+02
-   4  sg_p3        1.63806e+00   7.00000e-01  -5.60940e-01   1.42255e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM MIGRAD    STATUS=CONVERGED     175 CALLS         176 TOTAL
-                     EDM=1.79394e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57153e+02   3.21384e-01   1.00803e-03  -2.87826e-01
-   2  sg_p1        1.59907e+01   2.94249e-01   1.95331e-03  -7.46933e-02
-   3  sg_p2        1.40719e+00   6.63431e-02   1.98696e-03   1.23037e-01
-   4  sg_p3        1.40947e+00   6.04329e-02   1.61506e-03   3.47616e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.033e-01  1.010e-02  6.404e-03 -2.894e-03 
-  1.010e-02  8.661e-02  1.063e-02  7.128e-03 
-  6.404e-03  1.063e-02  4.403e-03  8.132e-04 
- -2.894e-03  7.128e-03  8.132e-04  3.653e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36907   1.000  0.107  0.300 -0.149
-        2  0.62006   0.107  1.000  0.545  0.401
-        3  0.59757   0.300  0.545  1.000  0.203
-        4  0.44647  -0.149  0.401  0.203  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14796.3 FROM HESSE     STATUS=OK             23 CALLS         199 TOTAL
-                     EDM=1.79239e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57153e+02   3.21538e-01   2.01606e-04   8.62318e-02
-   2  sg_p1        1.59907e+01   2.94927e-01   3.90662e-04   9.92360e-02
-   3  sg_p2        1.40719e+00   6.64804e-02   7.94782e-05  -4.52397e-01
-   4  sg_p3        1.40947e+00   6.05049e-02   6.46026e-05  -6.40123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.034e-01  1.015e-02  6.439e-03 -2.895e-03 
-  1.015e-02  8.701e-02  1.072e-02  7.193e-03 
-  6.439e-03  1.072e-02  4.421e-03  8.247e-04 
- -2.895e-03  7.193e-03  8.247e-04  3.661e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37018   1.000  0.107  0.301 -0.149
-        2  0.62233   0.107  1.000  0.547  0.403
-        3  0.59978   0.301  0.547  1.000  0.205
-        4  0.44859  -0.149  0.403  0.205  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.153 +- 0.321538
-15.9907 +- 0.294927
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15106.5 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -4.27508e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00   5.60673e+01
-   3  sg_p2        9.57872e-01   5.00000e-01   0.00000e+00  -1.96076e+02
-   4  sg_p3        1.43385e+00   7.00000e-01  -6.31466e-01   3.52996e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM MIGRAD    STATUS=CONVERGED     145 CALLS         146 TOTAL
-                     EDM=1.59039e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58875e+02   3.28831e-01   1.01097e-03   2.51867e-01
-   2  sg_p1        1.50106e+01   3.27326e-01   1.94006e-03  -7.48907e-02
-   3  sg_p2        1.28146e+00   5.35843e-02   1.64296e-03  -7.25386e-02
-   4  sg_p3        1.13283e+00   5.00773e-02   1.24085e-03   1.93411e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.081e-01 -1.435e-02  2.668e-03 -5.685e-03 
- -1.435e-02  1.072e-01  9.872e-03  9.778e-03 
-  2.668e-03  9.872e-03  2.872e-03  8.529e-04 
- -5.685e-03  9.778e-03  8.529e-04  2.508e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44454   1.000 -0.133  0.151 -0.345
-        2  0.71564  -0.133  1.000  0.563  0.596
-        3  0.61000   0.151  0.563  1.000  0.318
-        4  0.65614  -0.345  0.596  0.318  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15049.6 FROM HESSE     STATUS=OK             23 CALLS         169 TOTAL
-                     EDM=1.59031e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58875e+02   3.28953e-01   2.02195e-04   1.55611e-01
-   2  sg_p1        1.50106e+01   3.28179e-01   3.88013e-04   1.06416e-03
-   3  sg_p2        1.28146e+00   5.36907e-02   6.57184e-05  -5.09126e-01
-   4  sg_p3        1.13283e+00   5.01651e-02   2.48171e-04  -7.42776e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.082e-01 -1.448e-02  2.668e-03 -5.699e-03 
- -1.448e-02  1.077e-01  9.953e-03  9.852e-03 
-  2.668e-03  9.953e-03  2.883e-03  8.627e-04 
- -5.699e-03  9.852e-03  8.627e-04  2.517e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44521   1.000 -0.134  0.151 -0.345
-        2  0.71741  -0.134  1.000  0.565  0.598
-        3  0.61203   0.151  0.565  1.000  0.320
-        4  0.65766  -0.345  0.598  0.320  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.875 +- 0.328953
-15.0106 +- 0.328179
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14133.8 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.22550e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -8.95889e+01
-   3  sg_p2        1.26916e+00   5.00000e-01   0.00000e+00   3.67893e+01
-   4  sg_p3        1.35775e+00   7.00000e-01  -6.58678e-01  -5.62243e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM MIGRAD    STATUS=CONVERGED     210 CALLS         211 TOTAL
-                     EDM=0.000238073    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.56327e+02   3.14482e-01   9.83418e-04   8.55741e-01
-   2  sg_p1        1.57284e+01   2.76951e-01   1.90229e-03  -1.45089e-01
-   3  sg_p2        1.38542e+00   5.70093e-02   1.81418e-03   3.93447e-01
-   4  sg_p3        1.37775e+00   5.81896e-02   1.54738e-03   1.23982e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.890e-02  1.894e-03  3.842e-03 -3.325e-03 
-  1.894e-03  7.672e-02  7.163e-03  6.201e-03 
-  3.842e-03  7.163e-03  3.251e-03  5.637e-04 
- -3.325e-03  6.201e-03  5.637e-04  3.387e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30810   1.000  0.022  0.214 -0.182
-        2  0.55065   0.022  1.000  0.454  0.385
-        3  0.49896   0.214  0.454  1.000  0.170
-        4  0.43088  -0.182  0.385  0.170  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14121.3 FROM HESSE     STATUS=OK             23 CALLS         234 TOTAL
-                     EDM=0.000238571    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.56327e+02   3.14566e-01   1.96684e-04   5.31070e-02
-   2  sg_p1        1.57284e+01   2.77362e-01   3.80459e-04   7.29003e-02
-   3  sg_p2        1.38542e+00   5.70763e-02   3.62837e-04  -4.62101e-01
-   4  sg_p3        1.37775e+00   5.82399e-02   3.09477e-04  -6.51471e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.896e-02  1.863e-03  3.856e-03 -3.331e-03 
-  1.863e-03  7.695e-02  7.208e-03  6.244e-03 
-  3.856e-03  7.208e-03  3.258e-03  5.699e-04 
- -3.331e-03  6.244e-03  5.699e-04  3.392e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30889   1.000  0.021  0.215 -0.182
-        2  0.55252   0.021  1.000  0.455  0.386
-        3  0.50072   0.215  0.455  1.000  0.171
-        4  0.43251  -0.182  0.386  0.171  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-556.327 +- 0.314566
-15.7284 +- 0.277362
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14534.5 FROM MIGRAD    STATUS=INITIATE       58 CALLS          59 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.04994e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.14427e+02
-   3  sg_p2        1.18464e+00   5.00000e-01   0.00000e+00   9.96830e+01
-   4  sg_p3        1.38937e+00   7.00000e-01  -6.47305e-01   1.30603e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM MIGRAD    STATUS=CONVERGED     185 CALLS         186 TOTAL
-                     EDM=5.50119e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.58137e+02   3.32100e-01   9.95556e-04   1.68841e-01
-   2  sg_p1        1.48812e+01   3.22440e-01   1.91611e-03   3.95624e-02
-   3  sg_p2        1.27842e+00   5.09588e-02   1.60067e-03  -7.54823e-02
-   4  sg_p3        1.11410e+00   4.98337e-02   1.21814e-03   6.18485e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.103e-01 -2.020e-02  1.794e-03 -6.256e-03 
- -2.020e-02  1.040e-01  8.614e-03  9.577e-03 
-  1.794e-03  8.614e-03  2.597e-03  7.646e-04 
- -6.256e-03  9.577e-03  7.646e-04  2.484e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44749   1.000 -0.189  0.106 -0.378
-        2  0.69890  -0.189  1.000  0.524  0.596
-        3  0.56724   0.106  0.524  1.000  0.301
-        4  0.65666  -0.378  0.596  0.301  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14500.5 FROM HESSE     STATUS=OK             23 CALLS         209 TOTAL
-                     EDM=5.49735e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.58137e+02   3.32253e-01   1.99111e-04   1.25809e-01
-   2  sg_p1        1.48812e+01   3.23301e-01   7.66446e-05  -1.18793e-02
-   3  sg_p2        1.27842e+00   5.10516e-02   6.40269e-05  -5.10521e-01
-   4  sg_p3        1.11410e+00   4.99281e-02   4.87255e-05  -7.50065e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.104e-01 -2.039e-02  1.786e-03 -6.279e-03 
- -2.039e-02  1.046e-01  8.688e-03  9.654e-03 
-  1.786e-03  8.688e-03  2.607e-03  7.739e-04 
- -6.279e-03  9.654e-03  7.739e-04  2.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44831   1.000 -0.190  0.105 -0.378
-        2  0.70084  -0.190  1.000  0.526  0.598
-        3  0.56941   0.105  0.526  1.000  0.304
-        4  0.65830  -0.378  0.598  0.304  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-558.137 +- 0.332253
-14.8812 +- 0.323301
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=14860.1 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.96476e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -1.39102e+02
-   3  sg_p2        1.31219e+00   5.00000e-01   0.00000e+00   8.51723e+01
-   4  sg_p3        1.40309e+00   7.00000e-01  -6.42399e-01  -3.16309e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM MIGRAD    STATUS=CONVERGED     206 CALLS         207 TOTAL
-                     EDM=2.32867e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57839e+02   3.16310e-01   9.64235e-04  -9.53938e-03
-   2  sg_p1        1.45911e+01   3.04213e-01   1.85567e-03  -1.11765e-02
-   3  sg_p2        1.30884e+00   5.20626e-02   1.65224e-03   2.13112e-02
-   4  sg_p3        1.13165e+00   4.90247e-02   1.22393e-03   1.25630e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.679e-02  1.892e-03 -5.645e-03 
- -1.679e-02  9.257e-02  8.162e-03  8.712e-03 
-  1.892e-03  8.162e-03  2.711e-03  7.376e-04 
- -5.645e-03  8.712e-03  7.376e-04  2.404e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43494   1.000 -0.174  0.115 -0.364
-        2  0.68887  -0.174  1.000  0.515  0.584
-        3  0.55849   0.115  0.515  1.000  0.289
-        4  0.64393  -0.364  0.584  0.289  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=14830.1 FROM HESSE     STATUS=OK             23 CALLS         230 TOTAL
-                     EDM=2.3344e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57839e+02   3.16455e-01   3.85694e-05   1.13812e-01
-   2  sg_p1        1.45911e+01   3.05011e-01   7.42270e-05  -4.09030e-02
-   3  sg_p2        1.30884e+00   5.21549e-02   6.60897e-05  -4.96630e-01
-   4  sg_p3        1.13165e+00   4.91147e-02   4.89571e-05  -7.43231e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.001e-01 -1.696e-02  1.886e-03 -5.665e-03 
- -1.696e-02  9.306e-02  8.232e-03  8.781e-03 
-  1.886e-03  8.232e-03  2.721e-03  7.467e-04 
- -5.665e-03  8.781e-03  7.467e-04  2.413e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.43580   1.000 -0.176  0.114 -0.364
-        2  0.69086  -0.176  1.000  0.517  0.586
-        3  0.56066   0.114  0.517  1.000  0.291
-        4  0.64559  -0.364  0.586  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.839 +- 0.316455
-14.5911 +- 0.305011
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=13882.6 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -3.85565e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -4.99994e+01
-   3  sg_p2        1.14901e+00   5.00000e-01  -8.51477e-02   2.28635e+00
-   4  sg_p3        1.41391e+00   7.00000e-01   0.00000e+00   1.79604e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=1.65564e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57980e+02   3.34363e-01   9.81953e-04   6.44675e-02
-   2  sg_p1        1.47979e+01   3.20681e-01   1.89110e-03   8.04335e-02
-   3  sg_p2        1.31085e+00   5.36609e-02   1.65482e-03  -1.47147e-01
-   4  sg_p3        1.12068e+00   5.06777e-02   1.22086e-03   1.27989e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.118e-01 -2.084e-02  1.817e-03 -6.408e-03 
- -2.084e-02  1.029e-01  8.748e-03  9.557e-03 
-  1.817e-03  8.748e-03  2.880e-03  7.828e-04 
- -6.408e-03  9.557e-03  7.828e-04  2.569e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44246   1.000 -0.194  0.101 -0.378
-        2  0.68849  -0.194  1.000  0.508  0.588
-        3  0.55062   0.101  0.508  1.000  0.288
-        4  0.64866  -0.378  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=13854.1 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=1.65875e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57980e+02   3.34499e-01   1.96391e-04   1.19503e-01
-   2  sg_p1        1.47979e+01   3.21384e-01   3.78219e-04  -2.02134e-02
-   3  sg_p2        1.31085e+00   5.37405e-02   3.30963e-04  -4.95716e-01
-   4  sg_p3        1.12068e+00   5.07549e-02   2.44171e-04  -7.47499e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.119e-01 -2.101e-02  1.811e-03 -6.428e-03 
- -2.101e-02  1.033e-01  8.812e-03  9.620e-03 
-  1.811e-03  8.812e-03  2.889e-03  7.908e-04 
- -6.428e-03  9.620e-03  7.908e-04  2.576e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44320   1.000 -0.195  0.101 -0.379
-        2  0.69016  -0.195  1.000  0.510  0.590
-        3  0.55249   0.101  0.510  1.000  0.290
-        4  0.65002  -0.379  0.590  0.290  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.98 +- 0.334499
-14.7979 +- 0.321384
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,750] --> [390,750]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,750]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,650]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=15819.8 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.55000e+02   5.00000e+00   0.00000e+00  -5.00618e+02
-   2  sg_p1        1.50000e+01   2.00000e+00   0.00000e+00  -2.06424e+02
-   3  sg_p2        1.24250e+00   5.00000e-01   0.00000e+00   8.72112e+01
-   4  sg_p3        1.58707e+00   7.00000e-01  -5.78240e-01   1.36356e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=3.72733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.57991e+02   3.13470e-01   9.81807e-04   1.43269e-02
-   2  sg_p1        1.48025e+01   3.00871e-01   1.88933e-03   1.01623e-01
-   3  sg_p2        1.30793e+00   5.01308e-02   1.66000e-03  -7.41075e-02
-   4  sg_p3        1.12096e+00   4.75155e-02   1.22457e-03  -3.73256e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.827e-02 -1.818e-02  1.608e-03 -5.619e-03 
- -1.818e-02  9.055e-02  7.685e-03  8.406e-03 
-  1.608e-03  7.685e-03  2.514e-03  6.873e-04 
- -5.619e-03  8.406e-03  6.873e-04  2.258e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44218   1.000 -0.193  0.102 -0.377
-        2  0.68889  -0.193  1.000  0.509  0.588
-        3  0.55187   0.102  0.509  1.000  0.288
-        4  0.64863  -0.377  0.588  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=15779.8 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=3.72671e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.57991e+02   3.13600e-01   1.96361e-04   1.19946e-01
-   2  sg_p1        1.48025e+01   3.01553e-01   3.77865e-04  -1.97513e-02
-   3  sg_p2        1.30793e+00   5.02105e-02   6.64000e-05  -4.97043e-01
-   4  sg_p3        1.12096e+00   4.75893e-02   2.44915e-04  -7.47388e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.835e-02 -1.832e-02  1.604e-03 -5.636e-03 
- -1.832e-02  9.096e-02  7.744e-03  8.463e-03 
-  1.604e-03  7.744e-03  2.522e-03  6.946e-04 
- -5.636e-03  8.463e-03  6.946e-04  2.265e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.44293   1.000 -0.194  0.102 -0.378
-        2  0.69061  -0.194  1.000  0.511  0.590
-        3  0.55387   0.102  0.511  1.000  0.291
-        4  0.65001  -0.378  0.590  0.291  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-550
-557.991 +- 0.3136
-14.8025 +- 0.301553
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 557.153 +- 0.321538 (stat) - 0.826073 + 1.72147 (syst); -0.841572/+1.72896 (total)
-   Uncertainty on sg_p1 = 15.9907 +- 0.294927 (stat) - 1.39965 + 0 (syst); -1.40739/+0.147463 (total)
-   Uncertainty on sg_p2 = 1.40719 +- 0.0664804 (stat) - 0.128774 + 0 (syst); -0.132995/+0.0332402 (total)
-   Uncertainty on sg_p3 = 1.40947 +- 0.0605049 (stat) - 0.295372 + 0 (syst); -0.296917/+0.0302524 (total)
-   === Baseline plot === </br>
-   norm = 123.788
-JEC     lnN   1.02905  -
-JER     lnN   1.01484  -
-btag    lnN   1.06518  -
-sg_p0   param   557.153 -0.841572/+1.72896
-sg_p1   param   15.9907 -1.40739/+0.147463
-sg_p2   param   1.40719  -0.132995/+0.0332402
-sg_p3   param   1.40947  -0.296917/+0.0302524
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
deleted file mode 100644
index 1ddb54c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,6 +0,0 @@
-Running Minos for POI 
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.0608592  -0.0608592/+2.46048  (68% CL)
-nll S+B -> -5.77738e-05  nll B -> -1.20315e-05
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
deleted file mode 100644
index 4a67478..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 13.601577:	q_mu = 3.84854	q_A  = 3.84866	CLsb = 0.02489	CLb  = 0.50001	CLs  = 0.04979
-
- -- Asymptotic -- 
-Observed Limit: r < 13.6016
-Expected  2.5%: r < 7.0726
-Expected 16.0%: r < 9.5317
-Expected 50.0%: r < 13.5625
-Expected 84.0%: r < 19.5632
-Expected 97.5%: r < 27.4386
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt
deleted file mode 100644
index 4ac6661..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.01596 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06702    -
-JER       lnN     1.01328   - 
-JEC       lnN     1.02779   -
-trigger   lnN     1.10    -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/signal600_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/signal600_sig.log
deleted file mode 100644
index 2b9a4cd..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_crystal_1_550_1200/signal600_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20407.2 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.37960e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.20569e+02
-   3  sg_p2        9.48780e-01   5.00000e-01   0.00000e+00   2.19249e+02
-   4  sg_p3        9.35752e-01   7.00000e-01  -8.22196e-01  -2.16926e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM MIGRAD    STATUS=CONVERGED     258 CALLS         259 TOTAL
-                     EDM=3.54203e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92104e+02   4.94229e-01   1.62450e-03  -2.33203e-01
-   2  sg_p1        3.16035e+01   3.64838e-01   4.18602e-03   4.92054e-02
-   3  sg_p2        2.32184e+00   1.74449e-01   2.49592e-03   4.15288e-02
-   4  sg_p3        2.56533e+00   2.80149e-01   3.09113e-03   3.31222e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  4.410e-04  2.284e-03 -4.332e-04 
-  4.410e-04  1.332e-01  3.420e-03  4.258e-04 
-  2.284e-03  3.420e-03  3.048e-02  4.517e-05 
- -4.332e-04  4.258e-04  4.517e-05  7.866e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02667   1.000  0.002  0.026 -0.003
-        2  0.05384   0.002  1.000  0.054  0.004
-        3  0.05979   0.026  0.054  1.000  0.001
-        4  0.00527  -0.003  0.004  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM HESSE     STATUS=OK             23 CALLS         282 TOTAL
-                     EDM=3.55279e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92104e+02   4.94244e-01   3.24901e-04   7.01930e-02
-   2  sg_p1        3.16035e+01   3.64897e-01   1.67441e-04   8.15808e-01
-   3  sg_p2        2.32184e+00   1.74479e-01   4.99183e-04  -7.13248e-02
-   4  sg_p3        2.56533e+00   2.80163e-01   6.18226e-04  -2.70328e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  3.135e-04  2.378e-03 -5.538e-04 
-  3.135e-04  1.332e-01  3.580e-03  7.538e-04 
-  2.378e-03  3.580e-03  3.049e-02  5.456e-05 
- -5.538e-04  7.538e-04  5.456e-05  7.867e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02784   1.000  0.002  0.028 -0.004
-        2  0.05664   0.002  1.000  0.056  0.007
-        3  0.06252   0.028  0.056  1.000  0.001
-        4  0.00842  -0.004  0.007  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-592.104 +- 0.494244
-31.6035 +- 0.364897
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20903.6 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.76905e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.33312e+02
-   3  sg_p2        8.35066e-01   5.00000e-01   0.00000e+00   1.55262e+02
-   4  sg_p3        1.06407e+00   7.00000e-01  -7.69784e-01  -6.62795e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.01877 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             27 CALLS         327 TOTAL
-                     EDM=0.353557    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   1.65618e-03   2.97074e-02
-   2  sg_p1        3.19678e+01   3.59009e-01   4.38078e-03   7.51718e-03
-   3  sg_p2        3.30884e+00   1.90897e+00   9.40463e-02  -2.17700e-03
-   4  sg_p3        3.57858e+00   1.02503e+00   5.00000e-01  -2.82844e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=20782.7 FROM MIGRAD    STATUS=CONVERGED     349 CALLS         350 TOTAL
-                     EDM=0.00116564    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.5 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   0.00000e+00  -7.95791e-04
-   2  sg_p1        3.19677e+01   3.59015e-01   0.00000e+00  -1.29854e-03
-   3  sg_p2        3.31338e+00   1.90573e+00   0.00000e+00  -5.13595e-02
-   4  sg_p3        4.44183e+00   9.90294e-01   0.00000e+00  -7.71997e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.206e-04 -3.792e-05  6.874e-06 
-  1.206e-04  1.290e-01 -2.103e-05  2.400e-05 
- -3.792e-05 -2.103e-05  4.913e+00  1.276e-01 
-  6.874e-06  2.400e-05  1.276e-01  1.010e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00068   1.000  0.001 -0.000  0.000
-        2  0.00069   0.001  1.000 -0.000  0.000
-        3  0.05726  -0.000 -0.000  1.000  0.057
-        4  0.05726   0.000  0.000  0.057  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             29 CALLS         379 TOTAL
-                     EDM=0.00193193    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.94811e+02   4.92614e-01   1.65617e-03   1.61052e-01
-   2  sg_p1        3.19677e+01   3.59005e-01   1.75231e-03   8.59341e-01
-   3  sg_p2        3.31338e+00   1.92835e+00   9.34815e-02   3.31384e-01
-   4  sg_p3        4.44183e+00   4.36098e+00   5.00000e-01   2.72453e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.189e-04  4.150e-10  3.937e-09 
-  1.189e-04  1.290e-01  7.552e-10  7.164e-09 
-  4.150e-10  7.552e-10  5.086e+00  4.866e-17 
-  3.937e-09  7.164e-09  4.866e-17  3.680e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00067   1.000  0.001  0.000  0.000
-        2  0.00067   0.001  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-594.811 +- 0.492614
-31.9677 +- 0.359005
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19759.2 FROM MIGRAD    STATUS=INITIATE       61 CALLS          62 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -3.08252e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00   3.47377e+00
-   3  sg_p2        1.03803e+00   5.00000e-01   0.00000e+00   1.96966e+02
-   4  sg_p3        6.78922e-01   7.00000e-01  -9.37400e-01  -9.51087e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             27 CALLS         295 TOTAL
-                     EDM=0.000519933    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89106e+02   4.99310e-01   1.60340e-03  -1.77687e-01
-   2  sg_p1        3.11952e+01   3.74439e-01   3.97599e-03   1.75125e-01
-   3  sg_p2        2.15446e+00   1.55638e-01   6.05904e-03   5.07493e-02
-   4  sg_p3        2.86472e+00   1.00280e+00   2.23604e-02   1.02315e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00142 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=19618.4 FROM MIGRAD    STATUS=FAILED        359 CALLS         360 TOTAL
-                     EDM=0.026975    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  42.7 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89107e+02   1.06052e+00   0.00000e+00   3.45243e-02
-   2  sg_p1        3.11930e+01   5.01209e-01   0.00000e+00   3.04828e-02
-   3  sg_p2        2.15412e+00   1.61274e+00  -0.00000e+00   1.77468e-02
-   4  sg_p3        2.85260e+00   2.27046e+00   0.00000e+00  -1.96724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.125e+00 -5.647e-02  7.612e-01  2.001e+00 
- -5.647e-02  2.515e-01 -5.717e-01  8.039e-02 
-  7.612e-01 -5.717e-01  3.085e+00 -2.479e-02 
-  2.001e+00  8.039e-02 -2.479e-02  6.149e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.87825   1.000 -0.106  0.409  0.761
-        2  0.68964  -0.106  1.000 -0.649  0.065
-        3  0.81697   0.409 -0.649  1.000 -0.006
-        4  0.84389   0.761  0.065 -0.006  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             29 CALLS         389 TOTAL
-                     EDM=1.78558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.89107e+02   4.98832e-01   1.60273e-03  -2.97585e-02
-   2  sg_p1        3.11930e+01   3.72807e-01   3.96095e-03   7.69036e-01
-   3  sg_p2        2.15412e+00   1.55604e-01   5.99006e-03  -1.38798e-01
-   4  sg_p3        2.85260e+00   7.77091e-01   2.18365e-02  -1.86043e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.489e-01  3.933e-03  6.510e-03 -1.038e-02 
-  3.933e-03  1.391e-01  8.935e-03  1.739e-02 
-  6.510e-03  8.935e-03  2.424e-02  8.994e-04 
- -1.038e-02  1.739e-02  8.994e-04  6.144e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08866   1.000  0.021  0.084 -0.027
-        2  0.16487   0.021  1.000  0.154  0.059
-        3  0.17370   0.084  0.154  1.000  0.007
-        4  0.06566  -0.027  0.059  0.007  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-589.107 +- 0.498832
-31.193 +- 0.372807
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18511.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.40396e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.52378e+01
-   3  sg_p2        1.18490e+00   5.00000e-01   0.00000e+00   2.04158e+01
-   4  sg_p3        1.47860e+00   7.00000e-01  -6.15717e-01  -1.54349e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=1.54851e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08692e+02   3.23280e-01   1.16514e-03  -7.99199e-03
-   2  sg_p1        1.83569e+01   2.79934e-01   3.02518e-03  -2.66369e-02
-   3  sg_p2        1.48767e+00   5.44286e-02   2.05315e-03   4.94574e-02
-   4  sg_p3        1.40613e+00   6.14668e-02   1.81455e-03   2.39101e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.045e-01 -9.051e-03  2.188e-03 -5.216e-03 
- -9.051e-03  7.840e-02  5.474e-03  7.094e-03 
-  2.188e-03  5.474e-03  2.963e-03  4.768e-04 
- -5.216e-03  7.094e-03  4.768e-04  3.779e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31290   1.000 -0.100  0.124 -0.262
-        2  0.51370  -0.100  1.000  0.359  0.412
-        3  0.39510   0.124  0.359  1.000  0.142
-        4  0.46945  -0.262  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM HESSE     STATUS=OK             23 CALLS         222 TOTAL
-                     EDM=1.54744e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08692e+02   3.23426e-01   4.66057e-05   1.48232e-01
-   2  sg_p1        1.83569e+01   2.80464e-01   1.21007e-04   1.14504e-01
-   3  sg_p2        1.48767e+00   5.44911e-02   8.21259e-05  -4.16906e-01
-   4  sg_p3        1.40613e+00   6.15475e-02   7.25820e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.046e-01 -9.179e-03  2.197e-03 -5.241e-03 
- -9.179e-03  7.870e-02  5.524e-03  7.158e-03 
-  2.197e-03  5.524e-03  2.970e-03  4.840e-04 
- -5.241e-03  7.158e-03  4.840e-04  3.789e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.101  0.125 -0.263
-        2  0.51639  -0.101  1.000  0.361  0.415
-        3  0.39754   0.125  0.361  1.000  0.144
-        4  0.47162  -0.263  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.692 +- 0.323426
-18.3569 +- 0.280464
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18914.3 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07615e+02   5.00000e+00   0.00000e+00  -3.22775e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   5.18097e+00
-   3  sg_p2        1.14423e+00   5.00000e-01   0.00000e+00  -1.00194e+02
-   4  sg_p3        1.45830e+00   7.00000e-01  -6.22838e-01   5.05414e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=2.83441e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.09835e+02   3.20458e-01   1.18122e-03   1.99716e-02
-   2  sg_p1        1.84026e+01   2.81622e-01   3.04842e-03  -4.57325e-03
-   3  sg_p2        1.46608e+00   5.89939e-02   2.13709e-03  -5.15374e-04
-   4  sg_p3        1.40527e+00   5.47157e-02   1.70241e-03   2.83643e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.027e-01  2.191e-03  4.166e-03 -3.049e-03 
-  2.191e-03  7.935e-02  7.350e-03  5.397e-03 
-  4.166e-03  7.350e-03  3.481e-03  4.765e-04 
- -3.049e-03  5.397e-03  4.765e-04  2.994e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30388   1.000  0.024  0.220 -0.174
-        2  0.52791   0.024  1.000  0.442  0.350
-        3  0.49057   0.220  0.442  1.000  0.148
-        4  0.39639  -0.174  0.350  0.148  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=2.83854e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.09835e+02   3.20577e-01   2.36244e-04   1.94613e-01
-   2  sg_p1        1.84026e+01   2.82160e-01   1.21937e-04   1.20635e-01
-   3  sg_p2        1.46608e+00   5.90852e-02   8.54835e-05  -4.26369e-01
-   4  sg_p3        1.40527e+00   5.47727e-02   6.80964e-05  -6.41619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.028e-01  2.166e-03  4.187e-03 -3.058e-03 
-  2.166e-03  7.965e-02  7.413e-03  5.449e-03 
-  4.187e-03  7.413e-03  3.492e-03  4.840e-04 
- -3.058e-03  5.449e-03  4.840e-04  3.000e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30498   1.000  0.024  0.221 -0.174
-        2  0.53050   0.024  1.000  0.444  0.352
-        3  0.49295   0.221  0.444  1.000  0.150
-        4  0.39859  -0.174  0.352  0.150  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-609.835 +- 0.320577
-18.4026 +- 0.28216
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17827.8 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -3.81579e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -1.00435e+02
-   3  sg_p2        1.28822e+00   5.00000e-01   0.00000e+00   2.73039e+01
-   4  sg_p3        1.80614e+00   7.00000e-01  -5.05175e-01   1.07828e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0886e+00  1.1061e+00  1.8427e+00  2.1398e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.090718 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         194 TOTAL
-                     EDM=0.416197    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07398e+02   2.64955e+00   1.52214e-04  -1.22217e+01
-   2  sg_p1        1.77156e+01   1.07159e+00   3.05183e-03  -2.94405e+00
-   3  sg_p2        1.40875e+00   4.86527e-02   4.22960e-04  -1.06232e+01
-   4  sg_p3        1.34786e+00   1.92678e-01   1.78861e-03   3.70210e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=17796.1 FROM MIGRAD    STATUS=FAILED        231 CALLS         232 TOTAL
-                     EDM=854.994    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07407e+02   1.35903e-01  -0.00000e+00   6.05600e+02
-   2  sg_p1        1.77116e+01   1.50263e-01   0.00000e+00   1.62850e+02
-   3  sg_p2        1.40858e+00   6.28910e-03   0.00000e+00  -1.08286e+01
-   4  sg_p3        1.34715e+00   2.75057e-02   0.00000e+00   3.92805e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.847e-02 -2.028e-02 -7.414e-04 -3.202e-03 
- -2.028e-02  2.258e-02  8.238e-04  3.560e-03 
- -7.414e-04  8.238e-04  3.955e-05  1.478e-04 
- -3.202e-03  3.560e-03  1.478e-04  7.566e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99312   1.000 -0.993 -0.867 -0.856
-        2  0.99342  -0.993  1.000  0.872  0.861
-        3  0.89539  -0.867  0.872  1.000  0.855
-        4  0.88698  -0.856  0.861  0.855  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.1751e+01  9.9679e-01  1.9909e+00  7.2763e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 71.823632 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         259 TOTAL
-                     EDM=0.0450234    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07407e+02   8.84526e-03   4.47722e-05   9.64479e-02
-   2  sg_p1        1.77116e+01   9.83564e-03   1.65224e-04   2.82174e-02
-   3  sg_p2        1.40858e+00   7.59554e-03   2.51140e-05  -4.51783e-01
-   4  sg_p3        1.34715e+00   1.39806e-01   8.90793e-05  -6.62511e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.824e-05  8.666e-05 -3.386e-05  1.235e-03 
-  8.666e-05  9.674e-05 -3.765e-05  1.373e-03 
- -3.386e-05 -3.765e-05  5.769e-05 -5.353e-04 
-  1.235e-03  1.373e-03 -5.353e-04  1.956e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99802   1.000  0.996 -0.504  0.998
-        2  0.99801   0.996  1.000 -0.504  0.998
-        3  0.50444  -0.504 -0.504  1.000 -0.504
-        4  0.99899   0.998  0.998 -0.504  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-607.407 +- 0.00884526
-17.7116 +- 0.00983564
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18313.7 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.10963e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.40680e+01
-   3  sg_p2        1.12814e+00   5.00000e-01   0.00000e+00  -1.98843e+01
-   4  sg_p3        1.45064e+00   7.00000e-01  -6.25537e-01  -1.20812e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM MIGRAD    STATUS=CONVERGED     166 CALLS         167 TOTAL
-                     EDM=7.98313e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08803e+02   3.30506e-01   1.18077e-03  -1.43643e-02
-   2  sg_p1        1.84717e+01   2.89622e-01   3.07900e-03  -7.62757e-02
-   3  sg_p2        1.45856e+00   5.36517e-02   1.98838e-03  -2.33437e-02
-   4  sg_p3        1.38960e+00   6.15342e-02   1.80011e-03   4.41451e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.092e-01 -9.440e-03  2.340e-03 -5.461e-03 
- -9.440e-03  8.392e-02  5.863e-03  7.559e-03 
-  2.340e-03  5.863e-03  2.879e-03  5.057e-04 
- -5.461e-03  7.559e-03  5.057e-04  3.787e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32401   1.000 -0.099  0.132 -0.268
-        2  0.53046  -0.099  1.000  0.377  0.424
-        3  0.41529   0.132  0.377  1.000  0.153
-        4  0.48258  -0.268  0.424  0.153  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM HESSE     STATUS=OK             23 CALLS         190 TOTAL
-                     EDM=8.00182e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08803e+02   3.30636e-01   2.36154e-04   1.52717e-01
-   2  sg_p1        1.84717e+01   2.90111e-01   6.15801e-04   1.29921e-01
-   3  sg_p2        1.45856e+00   5.37098e-02   7.95354e-05  -4.29674e-01
-   4  sg_p3        1.38960e+00   6.16044e-02   3.60021e-04  -6.47219e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.093e-01 -9.548e-03  2.348e-03 -5.481e-03 
- -9.548e-03  8.421e-02  5.909e-03  7.616e-03 
-  2.348e-03  5.909e-03  2.885e-03  5.122e-04 
- -5.481e-03  7.616e-03  5.122e-04  3.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32509   1.000 -0.100  0.132 -0.269
-        2  0.53273  -0.100  1.000  0.379  0.426
-        3  0.41743   0.132  0.379  1.000  0.155
-        4  0.48438  -0.269  0.426  0.155  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.803 +- 0.330636
-18.4717 +- 0.290111
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18711.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.18390e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.18392e+01
-   3  sg_p2        1.20377e+00   5.00000e-01   0.00000e+00   8.44187e+00
-   4  sg_p3        1.54524e+00   7.00000e-01  -5.92581e-01   1.53539e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=3.64592e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08629e+02   3.18788e-01   1.15078e-03  -3.36230e-01
-   2  sg_p1        1.81384e+01   2.76492e-01   2.97751e-03  -6.31530e-02
-   3  sg_p2        1.49686e+00   5.44757e-02   2.06505e-03   2.07196e-02
-   4  sg_p3        1.39306e+00   6.05611e-02   1.78870e-03   1.70313e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.016e-01 -1.019e-02  2.021e-03 -5.340e-03 
- -1.019e-02  7.648e-02  5.389e-03  7.151e-03 
-  2.021e-03  5.389e-03  2.968e-03  4.840e-04 
- -5.340e-03  7.151e-03  4.840e-04  3.668e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32316   1.000 -0.116  0.116 -0.277
-        2  0.52296  -0.116  1.000  0.358  0.427
-        3  0.39289   0.116  0.358  1.000  0.147
-        4  0.48547  -0.277  0.427  0.147  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM HESSE     STATUS=OK             23 CALLS         229 TOTAL
-                     EDM=3.64813e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08629e+02   3.18930e-01   2.30156e-04   1.45672e-01
-   2  sg_p1        1.81384e+01   2.76957e-01   5.95502e-04   8.52226e-02
-   3  sg_p2        1.49686e+00   5.45322e-02   8.26022e-05  -4.12888e-01
-   4  sg_p3        1.39306e+00   6.06332e-02   7.15481e-05  -6.45981e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.017e-01 -1.031e-02  2.029e-03 -5.364e-03 
- -1.031e-02  7.674e-02  5.434e-03  7.205e-03 
-  2.029e-03  5.434e-03  2.974e-03  4.905e-04 
- -5.364e-03  7.205e-03  4.905e-04  3.677e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32439   1.000 -0.117  0.117 -0.277
-        2  0.52528  -0.117  1.000  0.360  0.429
-        3  0.39510   0.117  0.360  1.000  0.148
-        4  0.48733  -0.277  0.429  0.148  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.629 +- 0.31893
-18.1384 +- 0.276957
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17303.3 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -6.79986e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.47913e+01
-   3  sg_p2        1.18392e+00   5.00000e-01   0.00000e+00   1.09112e+01
-   4  sg_p3        1.50179e+00   7.00000e-01  -6.07622e-01  -1.34120e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=1.97081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08678e+02   3.33992e-01   1.16426e-03   9.30660e-02
-   2  sg_p1        1.83420e+01   2.89061e-01   3.02407e-03  -5.38511e-02
-   3  sg_p2        1.48991e+00   5.64139e-02   2.05472e-03  -1.38092e-01
-   4  sg_p3        1.40621e+00   6.35546e-02   1.81513e-03   1.01686e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.116e-01 -9.726e-03  2.331e-03 -5.579e-03 
- -9.726e-03  8.360e-02  5.845e-03  7.576e-03 
-  2.331e-03  5.845e-03  3.183e-03  5.099e-04 
- -5.579e-03  7.576e-03  5.099e-04  4.040e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31288   1.000 -0.101  0.124 -0.263
-        2  0.51335  -0.101  1.000  0.358  0.412
-        3  0.39415   0.124  0.358  1.000  0.142
-        4  0.46956  -0.263  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM HESSE     STATUS=OK             23 CALLS         186 TOTAL
-                     EDM=1.96909e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08678e+02   3.34135e-01   2.32851e-04   1.47652e-01
-   2  sg_p1        1.83420e+01   2.89586e-01   1.20963e-04   1.12504e-01
-   3  sg_p2        1.48991e+00   5.64735e-02   4.10945e-04  -4.15923e-01
-   4  sg_p3        1.40621e+00   6.36376e-02   7.26053e-05  -6.41285e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.117e-01 -9.856e-03  2.338e-03 -5.606e-03 
- -9.856e-03  8.390e-02  5.896e-03  7.643e-03 
-  2.338e-03  5.896e-03  3.190e-03  5.173e-04 
- -5.606e-03  7.643e-03  5.173e-04  4.050e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31411   1.000 -0.102  0.124 -0.264
-        2  0.51594  -0.102  1.000  0.360  0.415
-        3  0.39639   0.124  0.360  1.000  0.144
-        4  0.47171  -0.264  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.678 +- 0.334135
-18.342 +- 0.289586
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19781.5 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.94070e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.71988e+01
-   3  sg_p2        1.17009e+00   5.00000e-01   0.00000e+00  -7.70001e-01
-   4  sg_p3        1.45286e+00   7.00000e-01  -6.24753e-01  -3.36178e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=4.57234e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08706e+02   3.13081e-01   1.16661e-03   7.50814e-02
-   2  sg_p1        1.83713e+01   2.71251e-01   3.02919e-03   4.52649e-02
-   3  sg_p2        1.48521e+00   5.25283e-02   2.04671e-03  -2.57882e-02
-   4  sg_p3        1.40613e+00   5.94897e-02   1.81550e-03   4.82439e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.802e-02 -8.423e-03  2.056e-03 -4.882e-03 
- -8.423e-03  7.361e-02  5.131e-03  6.652e-03 
-  2.056e-03  5.131e-03  2.760e-03  4.464e-04 
- -4.882e-03  6.652e-03  4.464e-04  3.540e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31292   1.000 -0.099  0.125 -0.262
-        2  0.51406  -0.099  1.000  0.360  0.412
-        3  0.39608   0.125  0.360  1.000  0.143
-        4  0.46939  -0.262  0.412  0.143  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=4.58525e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08706e+02   3.13220e-01   2.33322e-04   1.48803e-01
-   2  sg_p1        1.83713e+01   2.71761e-01   1.21167e-04   1.16438e-01
-   3  sg_p2        1.48521e+00   5.25885e-02   8.18685e-05  -4.17982e-01
-   4  sg_p3        1.40613e+00   5.95681e-02   7.26199e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.811e-02 -8.532e-03  2.065e-03 -4.905e-03 
- -8.532e-03  7.389e-02  5.178e-03  6.711e-03 
-  2.065e-03  5.178e-03  2.766e-03  4.531e-04 
- -4.905e-03  6.711e-03  4.531e-04  3.549e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.100  0.125 -0.263
-        2  0.51674  -0.100  1.000  0.362  0.414
-        3  0.39850   0.125  0.362  1.000  0.145
-        4  0.47156  -0.263  0.414  0.145  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.706 +- 0.31322
-18.3713 +- 0.271761
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 608.692 +- 0.323426 (stat) - 1.28478 + 1.14244 (syst); -1.29492/+1.15383 (total)
-   Uncertainty on sg_p1 = 18.3569 +- 0.280464 (stat) - 0.645303 + 0.114761 (syst); -0.660364/+0.181204 (total)
-   Uncertainty on sg_p2 = 1.48767 +- 0.0544911 (stat) - 0.0790904 + 0.00919321 (syst); -0.0836517/+0.0287548 (total)
-   Uncertainty on sg_p3 = 1.40613 +- 0.0615475 (stat) - 0.0589742 + 8.24765e-05 (syst); -0.0665205/+0.0307738 (total)
-   === Baseline plot === </br>
-   norm = 150.798
-JEC     lnN   1.02779  -
-JER     lnN   1.01328  -
-btag    lnN   1.06702  -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
deleted file mode 100644
index be15249..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.020
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.101597  -0.101597/+2.8984  (68% CL)
-nll S+B -> -0.00107519  nll B -> -0.000957557
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
deleted file mode 100644
index 112c68d..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 13.965950:	q_mu = 3.83303	q_A  = 3.83204	CLsb = 0.02513	CLb  = 0.49990	CLs  = 0.05026
-
- -- Asymptotic -- 
-Observed Limit: r < 13.9660
-Expected  2.5%: r < 7.3771
-Expected 16.0%: r < 9.9141
-Expected 50.0%: r < 13.9375
-Expected 84.0%: r < 20.1042
-Expected 97.5%: r < 28.0232
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
deleted file mode 100644
index 396f0ac..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_600.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.01596 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06702    -
-JER       lnN     1.01328   - 
-JEC       lnN     1.02779   -
-trigger   lnN     1.10    -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/signal600_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/signal600_sig.log
deleted file mode 100644
index 2b9a4cd..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_600_novo_550_1200/signal600_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20407.2 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.37960e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.20569e+02
-   3  sg_p2        9.48780e-01   5.00000e-01   0.00000e+00   2.19249e+02
-   4  sg_p3        9.35752e-01   7.00000e-01  -8.22196e-01  -2.16926e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM MIGRAD    STATUS=CONVERGED     258 CALLS         259 TOTAL
-                     EDM=3.54203e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.92104e+02   4.94229e-01   1.62450e-03  -2.33203e-01
-   2  sg_p1        3.16035e+01   3.64838e-01   4.18602e-03   4.92054e-02
-   3  sg_p2        2.32184e+00   1.74449e-01   2.49592e-03   4.15288e-02
-   4  sg_p3        2.56533e+00   2.80149e-01   3.09113e-03   3.31222e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  4.410e-04  2.284e-03 -4.332e-04 
-  4.410e-04  1.332e-01  3.420e-03  4.258e-04 
-  2.284e-03  3.420e-03  3.048e-02  4.517e-05 
- -4.332e-04  4.258e-04  4.517e-05  7.866e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02667   1.000  0.002  0.026 -0.003
-        2  0.05384   0.002  1.000  0.054  0.004
-        3  0.05979   0.026  0.054  1.000  0.001
-        4  0.00527  -0.003  0.004  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20303.7 FROM HESSE     STATUS=OK             23 CALLS         282 TOTAL
-                     EDM=3.55279e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.92104e+02   4.94244e-01   3.24901e-04   7.01930e-02
-   2  sg_p1        3.16035e+01   3.64897e-01   1.67441e-04   8.15808e-01
-   3  sg_p2        2.32184e+00   1.74479e-01   4.99183e-04  -7.13248e-02
-   4  sg_p3        2.56533e+00   2.80163e-01   6.18226e-04  -2.70328e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.443e-01  3.135e-04  2.378e-03 -5.538e-04 
-  3.135e-04  1.332e-01  3.580e-03  7.538e-04 
-  2.378e-03  3.580e-03  3.049e-02  5.456e-05 
- -5.538e-04  7.538e-04  5.456e-05  7.867e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.02784   1.000  0.002  0.028 -0.004
-        2  0.05664   0.002  1.000  0.056  0.007
-        3  0.06252   0.028  0.056  1.000  0.001
-        4  0.00842  -0.004  0.007  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-592.104 +- 0.494244
-31.6035 +- 0.364897
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=20903.6 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -2.76905e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00  -1.33312e+02
-   3  sg_p2        8.35066e-01   5.00000e-01   0.00000e+00   1.55262e+02
-   4  sg_p3        1.06407e+00   7.00000e-01  -7.69784e-01  -6.62795e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.01877 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             27 CALLS         327 TOTAL
-                     EDM=0.353557    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   1.65618e-03   2.97074e-02
-   2  sg_p1        3.19678e+01   3.59009e-01   4.38078e-03   7.51718e-03
-   3  sg_p2        3.30884e+00   1.90897e+00   9.40463e-02  -2.17700e-03
-   4  sg_p3        3.57858e+00   1.02503e+00   5.00000e-01  -2.82844e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=20782.7 FROM MIGRAD    STATUS=CONVERGED     349 CALLS         350 TOTAL
-                     EDM=0.00116564    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.5 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.94811e+02   4.92616e-01   0.00000e+00  -7.95791e-04
-   2  sg_p1        3.19677e+01   3.59015e-01   0.00000e+00  -1.29854e-03
-   3  sg_p2        3.31338e+00   1.90573e+00   0.00000e+00  -5.13595e-02
-   4  sg_p3        4.44183e+00   9.90294e-01   0.00000e+00  -7.71997e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.206e-04 -3.792e-05  6.874e-06 
-  1.206e-04  1.290e-01 -2.103e-05  2.400e-05 
- -3.792e-05 -2.103e-05  4.913e+00  1.276e-01 
-  6.874e-06  2.400e-05  1.276e-01  1.010e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00068   1.000  0.001 -0.000  0.000
-        2  0.00069   0.001  1.000 -0.000  0.000
-        3  0.05726  -0.000 -0.000  1.000  0.057
-        4  0.05726   0.000  0.000  0.057  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=20782.7 FROM HESSE     STATUS=OK             29 CALLS         379 TOTAL
-                     EDM=0.00193193    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.94811e+02   4.92614e-01   1.65617e-03   1.61052e-01
-   2  sg_p1        3.19677e+01   3.59005e-01   1.75231e-03   8.59341e-01
-   3  sg_p2        3.31338e+00   1.92835e+00   9.34815e-02   3.31384e-01
-   4  sg_p3        4.44183e+00   4.36098e+00   5.00000e-01   2.72453e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.427e-01  1.189e-04  4.150e-10  3.937e-09 
-  1.189e-04  1.290e-01  7.552e-10  7.164e-09 
-  4.150e-10  7.552e-10  5.086e+00  4.866e-17 
-  3.937e-09  7.164e-09  4.866e-17  3.680e+02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00067   1.000  0.001  0.000  0.000
-        2  0.00067   0.001  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-594.811 +- 0.492614
-31.9677 +- 0.359005
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [390,800] --> [390,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [390,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [490,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19759.2 FROM MIGRAD    STATUS=INITIATE       61 CALLS          62 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.90000e+02   6.00000e+00   0.00000e+00  -3.08252e+02
-   2  sg_p1        2.25000e+01   2.50000e+00   0.00000e+00   3.47377e+00
-   3  sg_p2        1.03803e+00   5.00000e-01   0.00000e+00   1.96966e+02
-   4  sg_p3        6.78922e-01   7.00000e-01  -9.37400e-01  -9.51087e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             27 CALLS         295 TOTAL
-                     EDM=0.000519933    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89106e+02   4.99310e-01   1.60340e-03  -1.77687e-01
-   2  sg_p1        3.11952e+01   3.74439e-01   3.97599e-03   1.75125e-01
-   3  sg_p2        2.15446e+00   1.55638e-01   6.05904e-03   5.07493e-02
-   4  sg_p3        2.86472e+00   1.00280e+00   2.23604e-02   1.02315e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00142 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=19618.4 FROM MIGRAD    STATUS=FAILED        359 CALLS         360 TOTAL
-                     EDM=0.026975    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  42.7 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        5.89107e+02   1.06052e+00   0.00000e+00   3.45243e-02
-   2  sg_p1        3.11930e+01   5.01209e-01   0.00000e+00   3.04828e-02
-   3  sg_p2        2.15412e+00   1.61274e+00  -0.00000e+00   1.77468e-02
-   4  sg_p3        2.85260e+00   2.27046e+00   0.00000e+00  -1.96724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.125e+00 -5.647e-02  7.612e-01  2.001e+00 
- -5.647e-02  2.515e-01 -5.717e-01  8.039e-02 
-  7.612e-01 -5.717e-01  3.085e+00 -2.479e-02 
-  2.001e+00  8.039e-02 -2.479e-02  6.149e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.87825   1.000 -0.106  0.409  0.761
-        2  0.68964  -0.106  1.000 -0.649  0.065
-        3  0.81697   0.409 -0.649  1.000 -0.006
-        4  0.84389   0.761  0.065 -0.006  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19618.4 FROM HESSE     STATUS=OK             29 CALLS         389 TOTAL
-                     EDM=1.78558e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        5.89107e+02   4.98832e-01   1.60273e-03  -2.97585e-02
-   2  sg_p1        3.11930e+01   3.72807e-01   3.96095e-03   7.69036e-01
-   3  sg_p2        2.15412e+00   1.55604e-01   5.99006e-03  -1.38798e-01
-   4  sg_p3        2.85260e+00   7.77091e-01   2.18365e-02  -1.86043e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.489e-01  3.933e-03  6.510e-03 -1.038e-02 
-  3.933e-03  1.391e-01  8.935e-03  1.739e-02 
-  6.510e-03  8.935e-03  2.424e-02  8.994e-04 
- -1.038e-02  1.739e-02  8.994e-04  6.144e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.08866   1.000  0.021  0.084 -0.027
-        2  0.16487   0.021  1.000  0.154  0.059
-        3  0.17370   0.084  0.154  1.000  0.007
-        4  0.06566  -0.027  0.059  0.007  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-589.107 +- 0.498832
-31.193 +- 0.372807
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18511.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.40396e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.52378e+01
-   3  sg_p2        1.18490e+00   5.00000e-01   0.00000e+00   2.04158e+01
-   4  sg_p3        1.47860e+00   7.00000e-01  -6.15717e-01  -1.54349e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM MIGRAD    STATUS=CONVERGED     198 CALLS         199 TOTAL
-                     EDM=1.54851e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08692e+02   3.23280e-01   1.16514e-03  -7.99199e-03
-   2  sg_p1        1.83569e+01   2.79934e-01   3.02518e-03  -2.66369e-02
-   3  sg_p2        1.48767e+00   5.44286e-02   2.05315e-03   4.94574e-02
-   4  sg_p3        1.40613e+00   6.14668e-02   1.81455e-03   2.39101e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.045e-01 -9.051e-03  2.188e-03 -5.216e-03 
- -9.051e-03  7.840e-02  5.474e-03  7.094e-03 
-  2.188e-03  5.474e-03  2.963e-03  4.768e-04 
- -5.216e-03  7.094e-03  4.768e-04  3.779e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31290   1.000 -0.100  0.124 -0.262
-        2  0.51370  -0.100  1.000  0.359  0.412
-        3  0.39510   0.124  0.359  1.000  0.142
-        4  0.46945  -0.262  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18460.6 FROM HESSE     STATUS=OK             23 CALLS         222 TOTAL
-                     EDM=1.54744e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08692e+02   3.23426e-01   4.66057e-05   1.48232e-01
-   2  sg_p1        1.83569e+01   2.80464e-01   1.21007e-04   1.14504e-01
-   3  sg_p2        1.48767e+00   5.44911e-02   8.21259e-05  -4.16906e-01
-   4  sg_p3        1.40613e+00   6.15475e-02   7.25820e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.046e-01 -9.179e-03  2.197e-03 -5.241e-03 
- -9.179e-03  7.870e-02  5.524e-03  7.158e-03 
-  2.197e-03  5.524e-03  2.970e-03  4.840e-04 
- -5.241e-03  7.158e-03  4.840e-04  3.789e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.101  0.125 -0.263
-        2  0.51639  -0.101  1.000  0.361  0.415
-        3  0.39754   0.125  0.361  1.000  0.144
-        4  0.47162  -0.263  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.692 +- 0.323426
-18.3569 +- 0.280464
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18914.3 FROM MIGRAD    STATUS=INITIATE       77 CALLS          78 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07615e+02   5.00000e+00   0.00000e+00  -3.22775e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   5.18097e+00
-   3  sg_p2        1.14423e+00   5.00000e-01   0.00000e+00  -1.00194e+02
-   4  sg_p3        1.45830e+00   7.00000e-01  -6.22838e-01   5.05414e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM MIGRAD    STATUS=CONVERGED     217 CALLS         218 TOTAL
-                     EDM=2.83441e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.09835e+02   3.20458e-01   1.18122e-03   1.99716e-02
-   2  sg_p1        1.84026e+01   2.81622e-01   3.04842e-03  -4.57325e-03
-   3  sg_p2        1.46608e+00   5.89939e-02   2.13709e-03  -5.15374e-04
-   4  sg_p3        1.40527e+00   5.47157e-02   1.70241e-03   2.83643e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.027e-01  2.191e-03  4.166e-03 -3.049e-03 
-  2.191e-03  7.935e-02  7.350e-03  5.397e-03 
-  4.166e-03  7.350e-03  3.481e-03  4.765e-04 
- -3.049e-03  5.397e-03  4.765e-04  2.994e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30388   1.000  0.024  0.220 -0.174
-        2  0.52791   0.024  1.000  0.442  0.350
-        3  0.49057   0.220  0.442  1.000  0.148
-        4  0.39639  -0.174  0.350  0.148  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18893.8 FROM HESSE     STATUS=OK             23 CALLS         241 TOTAL
-                     EDM=2.83854e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.09835e+02   3.20577e-01   2.36244e-04   1.94613e-01
-   2  sg_p1        1.84026e+01   2.82160e-01   1.21937e-04   1.20635e-01
-   3  sg_p2        1.46608e+00   5.90852e-02   8.54835e-05  -4.26369e-01
-   4  sg_p3        1.40527e+00   5.47727e-02   6.80964e-05  -6.41619e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.028e-01  2.166e-03  4.187e-03 -3.058e-03 
-  2.166e-03  7.965e-02  7.413e-03  5.449e-03 
-  4.187e-03  7.413e-03  3.492e-03  4.840e-04 
- -3.058e-03  5.449e-03  4.840e-04  3.000e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.30498   1.000  0.024  0.221 -0.174
-        2  0.53050   0.024  1.000  0.444  0.352
-        3  0.49295   0.221  0.444  1.000  0.150
-        4  0.39859  -0.174  0.352  0.150  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-609.835 +- 0.320577
-18.4026 +- 0.28216
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17827.8 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -3.81579e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -1.00435e+02
-   3  sg_p2        1.28822e+00   5.00000e-01   0.00000e+00   2.73039e+01
-   4  sg_p3        1.80614e+00   7.00000e-01  -5.05175e-01   1.07828e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0886e+00  1.1061e+00  1.8427e+00  2.1398e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.090718 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         194 TOTAL
-                     EDM=0.416197    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07398e+02   2.64955e+00   1.52214e-04  -1.22217e+01
-   2  sg_p1        1.77156e+01   1.07159e+00   3.05183e-03  -2.94405e+00
-   3  sg_p2        1.40875e+00   4.86527e-02   4.22960e-04  -1.06232e+01
-   4  sg_p3        1.34786e+00   1.92678e-01   1.78861e-03   3.70210e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=17796.1 FROM MIGRAD    STATUS=FAILED        231 CALLS         232 TOTAL
-                     EDM=854.994    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.07407e+02   1.35903e-01  -0.00000e+00   6.05600e+02
-   2  sg_p1        1.77116e+01   1.50263e-01   0.00000e+00   1.62850e+02
-   3  sg_p2        1.40858e+00   6.28910e-03   0.00000e+00  -1.08286e+01
-   4  sg_p3        1.34715e+00   2.75057e-02   0.00000e+00   3.92805e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.847e-02 -2.028e-02 -7.414e-04 -3.202e-03 
- -2.028e-02  2.258e-02  8.238e-04  3.560e-03 
- -7.414e-04  8.238e-04  3.955e-05  1.478e-04 
- -3.202e-03  3.560e-03  1.478e-04  7.566e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99312   1.000 -0.993 -0.867 -0.856
-        2  0.99342  -0.993  1.000  0.872  0.861
-        3  0.89539  -0.867  0.872  1.000  0.855
-        4  0.88698  -0.856  0.861  0.855  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -7.1751e+01  9.9679e-01  1.9909e+00  7.2763e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 71.823632 TO DIAGONAL.
- FCN=17796.1 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         259 TOTAL
-                     EDM=0.0450234    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.07407e+02   8.84526e-03   4.47722e-05   9.64479e-02
-   2  sg_p1        1.77116e+01   9.83564e-03   1.65224e-04   2.82174e-02
-   3  sg_p2        1.40858e+00   7.59554e-03   2.51140e-05  -4.51783e-01
-   4  sg_p3        1.34715e+00   1.39806e-01   8.90793e-05  -6.62511e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.824e-05  8.666e-05 -3.386e-05  1.235e-03 
-  8.666e-05  9.674e-05 -3.765e-05  1.373e-03 
- -3.386e-05 -3.765e-05  5.769e-05 -5.353e-04 
-  1.235e-03  1.373e-03 -5.353e-04  1.956e-02 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99802   1.000  0.996 -0.504  0.998
-        2  0.99801   0.996  1.000 -0.504  0.998
-        3  0.50444  -0.504 -0.504  1.000 -0.504
-        4  0.99899   0.998  0.998 -0.504  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-607.407 +- 0.00884526
-17.7116 +- 0.00983564
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18313.7 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.10963e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.40680e+01
-   3  sg_p2        1.12814e+00   5.00000e-01   0.00000e+00  -1.98843e+01
-   4  sg_p3        1.45064e+00   7.00000e-01  -6.25537e-01  -1.20812e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM MIGRAD    STATUS=CONVERGED     166 CALLS         167 TOTAL
-                     EDM=7.98313e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08803e+02   3.30506e-01   1.18077e-03  -1.43643e-02
-   2  sg_p1        1.84717e+01   2.89622e-01   3.07900e-03  -7.62757e-02
-   3  sg_p2        1.45856e+00   5.36517e-02   1.98838e-03  -2.33437e-02
-   4  sg_p3        1.38960e+00   6.15342e-02   1.80011e-03   4.41451e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.092e-01 -9.440e-03  2.340e-03 -5.461e-03 
- -9.440e-03  8.392e-02  5.863e-03  7.559e-03 
-  2.340e-03  5.863e-03  2.879e-03  5.057e-04 
- -5.461e-03  7.559e-03  5.057e-04  3.787e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32401   1.000 -0.099  0.132 -0.268
-        2  0.53046  -0.099  1.000  0.377  0.424
-        3  0.41529   0.132  0.377  1.000  0.153
-        4  0.48258  -0.268  0.424  0.153  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18262.1 FROM HESSE     STATUS=OK             23 CALLS         190 TOTAL
-                     EDM=8.00182e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08803e+02   3.30636e-01   2.36154e-04   1.52717e-01
-   2  sg_p1        1.84717e+01   2.90111e-01   6.15801e-04   1.29921e-01
-   3  sg_p2        1.45856e+00   5.37098e-02   7.95354e-05  -4.29674e-01
-   4  sg_p3        1.38960e+00   6.16044e-02   3.60021e-04  -6.47219e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.093e-01 -9.548e-03  2.348e-03 -5.481e-03 
- -9.548e-03  8.421e-02  5.909e-03  7.616e-03 
-  2.348e-03  5.909e-03  2.885e-03  5.122e-04 
- -5.481e-03  7.616e-03  5.122e-04  3.796e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32509   1.000 -0.100  0.132 -0.269
-        2  0.53273  -0.100  1.000  0.379  0.426
-        3  0.41743   0.132  0.379  1.000  0.155
-        4  0.48438  -0.269  0.426  0.155  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.803 +- 0.330636
-18.4717 +- 0.290111
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=18711.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.18390e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.18392e+01
-   3  sg_p2        1.20377e+00   5.00000e-01   0.00000e+00   8.44187e+00
-   4  sg_p3        1.54524e+00   7.00000e-01  -5.92581e-01   1.53539e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM MIGRAD    STATUS=CONVERGED     205 CALLS         206 TOTAL
-                     EDM=3.64592e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08629e+02   3.18788e-01   1.15078e-03  -3.36230e-01
-   2  sg_p1        1.81384e+01   2.76492e-01   2.97751e-03  -6.31530e-02
-   3  sg_p2        1.49686e+00   5.44757e-02   2.06505e-03   2.07196e-02
-   4  sg_p3        1.39306e+00   6.05611e-02   1.78870e-03   1.70313e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.016e-01 -1.019e-02  2.021e-03 -5.340e-03 
- -1.019e-02  7.648e-02  5.389e-03  7.151e-03 
-  2.021e-03  5.389e-03  2.968e-03  4.840e-04 
- -5.340e-03  7.151e-03  4.840e-04  3.668e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32316   1.000 -0.116  0.116 -0.277
-        2  0.52296  -0.116  1.000  0.358  0.427
-        3  0.39289   0.116  0.358  1.000  0.147
-        4  0.48547  -0.277  0.427  0.147  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=18661.3 FROM HESSE     STATUS=OK             23 CALLS         229 TOTAL
-                     EDM=3.64813e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08629e+02   3.18930e-01   2.30156e-04   1.45672e-01
-   2  sg_p1        1.81384e+01   2.76957e-01   5.95502e-04   8.52226e-02
-   3  sg_p2        1.49686e+00   5.45322e-02   8.26022e-05  -4.12888e-01
-   4  sg_p3        1.39306e+00   6.06332e-02   7.15481e-05  -6.45981e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.017e-01 -1.031e-02  2.029e-03 -5.364e-03 
- -1.031e-02  7.674e-02  5.434e-03  7.205e-03 
-  2.029e-03  5.434e-03  2.974e-03  4.905e-04 
- -5.364e-03  7.205e-03  4.905e-04  3.677e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32439   1.000 -0.117  0.117 -0.277
-        2  0.52528  -0.117  1.000  0.360  0.429
-        3  0.39510   0.117  0.360  1.000  0.148
-        4  0.48733  -0.277  0.429  0.148  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.629 +- 0.31893
-18.1384 +- 0.276957
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=17303.3 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -6.79986e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.47913e+01
-   3  sg_p2        1.18392e+00   5.00000e-01   0.00000e+00   1.09112e+01
-   4  sg_p3        1.50179e+00   7.00000e-01  -6.07622e-01  -1.34120e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=1.97081e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08678e+02   3.33992e-01   1.16426e-03   9.30660e-02
-   2  sg_p1        1.83420e+01   2.89061e-01   3.02407e-03  -5.38511e-02
-   3  sg_p2        1.48991e+00   5.64139e-02   2.05472e-03  -1.38092e-01
-   4  sg_p3        1.40621e+00   6.35546e-02   1.81513e-03   1.01686e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.116e-01 -9.726e-03  2.331e-03 -5.579e-03 
- -9.726e-03  8.360e-02  5.845e-03  7.576e-03 
-  2.331e-03  5.845e-03  3.183e-03  5.099e-04 
- -5.579e-03  7.576e-03  5.099e-04  4.040e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31288   1.000 -0.101  0.124 -0.263
-        2  0.51335  -0.101  1.000  0.358  0.412
-        3  0.39415   0.124  0.358  1.000  0.142
-        4  0.46956  -0.263  0.412  0.142  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=17256.2 FROM HESSE     STATUS=OK             23 CALLS         186 TOTAL
-                     EDM=1.96909e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08678e+02   3.34135e-01   2.32851e-04   1.47652e-01
-   2  sg_p1        1.83420e+01   2.89586e-01   1.20963e-04   1.12504e-01
-   3  sg_p2        1.48991e+00   5.64735e-02   4.10945e-04  -4.15923e-01
-   4  sg_p3        1.40621e+00   6.36376e-02   7.26053e-05  -6.41285e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.117e-01 -9.856e-03  2.338e-03 -5.606e-03 
- -9.856e-03  8.390e-02  5.896e-03  7.643e-03 
-  2.338e-03  5.896e-03  3.190e-03  5.173e-04 
- -5.606e-03  7.643e-03  5.173e-04  4.050e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31411   1.000 -0.102  0.124 -0.264
-        2  0.51594  -0.102  1.000  0.360  0.415
-        3  0.39639   0.124  0.360  1.000  0.144
-        4  0.47171  -0.264  0.415  0.144  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.678 +- 0.334135
-18.342 +- 0.289586
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,800] --> [440,800]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,800]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,700]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=19781.5 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.05000e+02   5.00000e+00   0.00000e+00  -7.94070e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -2.71988e+01
-   3  sg_p2        1.17009e+00   5.00000e-01   0.00000e+00  -7.70001e-01
-   4  sg_p3        1.45286e+00   7.00000e-01  -6.24753e-01  -3.36178e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM MIGRAD    STATUS=CONVERGED     182 CALLS         183 TOTAL
-                     EDM=4.57234e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.08706e+02   3.13081e-01   1.16661e-03   7.50814e-02
-   2  sg_p1        1.83713e+01   2.71251e-01   3.02919e-03   4.52649e-02
-   3  sg_p2        1.48521e+00   5.25283e-02   2.04671e-03  -2.57882e-02
-   4  sg_p3        1.40613e+00   5.94897e-02   1.81550e-03   4.82439e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.802e-02 -8.423e-03  2.056e-03 -4.882e-03 
- -8.423e-03  7.361e-02  5.131e-03  6.652e-03 
-  2.056e-03  5.131e-03  2.760e-03  4.464e-04 
- -4.882e-03  6.652e-03  4.464e-04  3.540e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31292   1.000 -0.099  0.125 -0.262
-        2  0.51406  -0.099  1.000  0.360  0.412
-        3  0.39608   0.125  0.360  1.000  0.143
-        4  0.46939  -0.262  0.412  0.143  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=19726.9 FROM HESSE     STATUS=OK             23 CALLS         206 TOTAL
-                     EDM=4.58525e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.08706e+02   3.13220e-01   2.33322e-04   1.48803e-01
-   2  sg_p1        1.83713e+01   2.71761e-01   1.21167e-04   1.16438e-01
-   3  sg_p2        1.48521e+00   5.25885e-02   8.18685e-05  -4.17982e-01
-   4  sg_p3        1.40613e+00   5.95681e-02   7.26199e-05  -6.41314e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.811e-02 -8.532e-03  2.065e-03 -4.905e-03 
- -8.532e-03  7.389e-02  5.178e-03  6.711e-03 
-  2.065e-03  5.178e-03  2.766e-03  4.531e-04 
- -4.905e-03  6.711e-03  4.531e-04  3.549e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31420   1.000 -0.100  0.125 -0.263
-        2  0.51674  -0.100  1.000  0.362  0.414
-        3  0.39850   0.125  0.362  1.000  0.145
-        4  0.47156  -0.263  0.414  0.145  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-600
-608.706 +- 0.31322
-18.3713 +- 0.271761
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 608.692 +- 0.323426 (stat) - 1.28478 + 1.14244 (syst); -1.29492/+1.15383 (total)
-   Uncertainty on sg_p1 = 18.3569 +- 0.280464 (stat) - 0.645303 + 0.114761 (syst); -0.660364/+0.181204 (total)
-   Uncertainty on sg_p2 = 1.48767 +- 0.0544911 (stat) - 0.0790904 + 0.00919321 (syst); -0.0836517/+0.0287548 (total)
-   Uncertainty on sg_p3 = 1.40613 +- 0.0615475 (stat) - 0.0589742 + 8.24765e-05 (syst); -0.0665205/+0.0307738 (total)
-   === Baseline plot === </br>
-   norm = 150.798
-JEC     lnN   1.02779  -
-JER     lnN   1.01328  -
-btag    lnN   1.06702  -
-sg_p0   param   608.692 -1.29492/+1.15383
-sg_p1   param   18.3569 -0.660364/+0.181204
-sg_p2   param   1.48767  -0.0836517/+0.0287548
-sg_p3   param   1.40613  -0.0665205/+0.0307738
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
deleted file mode 100644
index 9684b57..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.060
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.000762688  -0.000762688/+2.99924  (68% CL)
-nll S+B -> -2.09629e-05  nll B -> -1.20822e-05
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
deleted file mode 100644
index 71d0a38..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 10.929433:	q_mu = 3.84806	q_A  = 3.84837	CLsb = 0.02490	CLb  = 0.50003	CLs  = 0.04980
-
- -- Asymptotic -- 
-Observed Limit: r < 10.9294
-Expected  2.5%: r < 5.7087
-Expected 16.0%: r < 7.6781
-Expected 50.0%: r < 10.9062
-Expected 84.0%: r < 15.8187
-Expected 97.5%: r < 22.1200
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt
deleted file mode 100644
index ebbf8ba..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.4471 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06923    -
-JER       lnN     1.01174   - 
-JEC       lnN     1.021   -
-trigger   lnN     1.10    -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/signal650_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/signal650_sig.log
deleted file mode 100644
index f094607..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_crystal_1_550_1200/signal650_sig.log
+++ /dev/null
@@ -1,1006 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11612.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -5.60818e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.83799e+01
-   3  sg_p2        1.51156e+00   5.00000e-01   0.00000e+00   4.45918e-01
-   4  sg_p3        1.65144e+00   7.00000e-01  -5.56433e-01   1.01665e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.07974 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         322 TOTAL
-                     EDM=0.104656    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41163e+02   7.06029e-01   1.74995e-03  -3.76296e-02
-   2  sg_p1        3.38688e+01   5.23325e-01   4.21353e-03   4.07382e-02
-   3  sg_p2        3.61832e+00   1.16199e+00   5.00000e-01  -8.37095e-01
-   4  sg_p3        2.97717e+00   1.74320e+00   3.82781e-02  -1.08231e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11585.6 FROM MIGRAD    STATUS=CONVERGED     333 CALLS         334 TOTAL
-                     EDM=3.51417e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41164e+02   7.06029e-01   2.17492e-05  -2.69889e-03
-   2  sg_p1        3.38675e+01   5.23355e-01  -1.32565e-04   1.94685e-03
-   3  sg_p2        4.13673e+00   9.85565e-01   2.50000e-01  -6.51974e-03
-   4  sg_p3        2.98762e+00   1.74432e+00   3.01848e-03  -1.43731e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.029e-03  1.165e-04  1.304e-03 
- -5.029e-03  2.742e-01 -1.478e-04 -1.655e-03 
-  1.165e-04 -1.478e-04  1.075e+00  3.155e-02 
-  1.304e-03 -1.655e-03  3.155e-02  3.342e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01364   1.000 -0.014  0.000  0.001
-        2  0.01371  -0.014  1.000 -0.000 -0.002
-        3  0.01665   0.000 -0.000  1.000  0.017
-        4  0.01677   0.001 -0.002  0.017  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         361 TOTAL
-                     EDM=0.00163365    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.41164e+02   7.06040e-01   1.75058e-03   3.88127e-02
-   2  sg_p1        3.38675e+01   5.23398e-01   1.68541e-03   3.97108e-01
-   3  sg_p2        4.13673e+00   2.58234e+00   5.00000e-01   7.13776e-01
-   4  sg_p3        2.98762e+00   2.30843e+00   1.53112e-02  -1.46921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.100e-03  8.651e-11  1.748e-04 
- -5.100e-03  2.742e-01 -4.651e-09 -1.792e-06 
-  8.651e-11 -4.651e-09  1.369e+02  3.040e-14 
-  1.748e-04 -1.792e-06  3.040e-14  6.385e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01379   1.000 -0.014  0.000  0.000
-        2  0.01379  -0.014  1.000 -0.000 -0.000
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.00010   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-641.164 +- 0.70604
-33.8675 +- 0.523398
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11904.9 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -1.02677e+02
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.17543e+01
-   3  sg_p2        1.12614e+00   5.00000e-01  -5.81819e-01   2.25140e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.65465e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11868.8 FROM HESSE     STATUS=OK             23 CALLS         155 TOTAL
-                     EDM=1.60817    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44838e+02   7.48080e-01   1.83180e-03   5.58516e+00
-   2  sg_p1        3.44259e+01   5.95973e-01   5.44743e-03  -4.45013e+00
-   3  sg_p2        2.01408e+00   1.75526e-01   9.79574e-03  -1.65119e+01
-   4  sg_p3        3.37744e+00   1.00364e+00   5.00000e-01   3.60429e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   6.16255e-03
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03  -9.30316e-04
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02  -2.32163e-02
-   4  sg_p3        5.67282e+00   1.35691e+00  -0.00000e+00   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM HESSE     STATUS=FAILED          9 CALLS         289 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   1.61714e-01
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03   4.84601e-01
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02   2.38245e-01
-   4  sg_p3        6.72231e+00   1.35691e+00  -0.00000e+00   2.47182e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-644.83 +- 0.716643
-34.6586 +- 0.534936
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11362.2 FROM MIGRAD    STATUS=INITIATE      104 CALLS         105 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00   7.10893e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -1.05256e+02
-   3  sg_p2        1.85778e+00   5.00000e-01   0.00000e+00   7.21734e-01
-   4  sg_p3        1.67742e+00   7.00000e-01  -5.47714e-01   2.76085e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=7.99199e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.38708e+02   7.08102e-01   1.73490e-03   8.50047e-02
-   2  sg_p1        3.35052e+01   5.28951e-01   4.14123e-03  -3.90699e-02
-   3  sg_p2        2.94947e+00   9.95349e-01   2.87844e-02   1.61687e-02
-   4  sg_p3        2.32505e+00   3.50639e-01   7.88914e-03   4.91799e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.015e-01 -1.242e-02  4.478e-03 -8.703e-03 
- -1.242e-02  2.801e-01  6.824e-03  9.967e-03 
-  4.478e-03  6.824e-03  1.050e+00  2.470e-04 
- -8.703e-03  9.967e-03  2.470e-04  1.234e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.04741   1.000 -0.033  0.006 -0.035
-        2  0.06336  -0.033  1.000  0.013  0.054
-        3  0.01421   0.006  0.013  1.000  0.001
-        4  0.06307  -0.035  0.054  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM HESSE     STATUS=OK             27 CALLS         256 TOTAL
-                     EDM=9.40062e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.38708e+02   7.08265e-01   3.46979e-04  -4.30894e-02
-   2  sg_p1        3.35052e+01   5.29379e-01   1.65649e-04   3.58121e-01
-   3  sg_p2        2.94947e+00   1.13847e+00   1.17440e-01   1.80769e-01
-   4  sg_p3        2.32505e+00   3.50890e-01   3.15565e-04  -3.42349e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.017e-01 -1.287e-02  1.066e-02 -9.624e-03 
- -1.287e-02  2.805e-01  1.877e-02  1.130e-02 
-  1.066e-02  1.877e-02  1.401e+00  6.030e-04 
- -9.624e-03  1.130e-02  6.030e-04  1.236e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05204   1.000 -0.034  0.013 -0.039
-        2  0.07498  -0.034  1.000  0.030  0.061
-        3  0.03295   0.013  0.030  1.000  0.001
-        4  0.07086  -0.039  0.061  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-638.708 +- 0.708265
-33.5052 +- 0.529379
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10721.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.43808e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.21270e+01
-   3  sg_p2        7.95726e-01   5.00000e-01   0.00000e+00  -2.45454e+02
-   4  sg_p3        1.33597e+00   7.00000e-01  -6.66570e-01   4.99104e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM MIGRAD    STATUS=CONVERGED     213 CALLS         214 TOTAL
-                     EDM=1.33202e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61215e+02   1.25169e+00   1.34687e-03   3.04499e-03
-   2  sg_p1        1.89981e+01   1.55542e+00   3.49164e-03   1.91712e-04
-   3  sg_p2        1.45525e+00   1.90355e-01   2.29593e-03  -6.77581e-03
-   4  sg_p3        1.13503e+00   2.26730e-01   1.46146e-03   4.83701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.568e+00 -1.781e+00 -1.994e-01 -2.643e-01 
- -1.781e+00  2.456e+00  2.755e-01  3.428e-01 
- -1.994e-01  2.755e-01  3.632e-02  3.869e-02 
- -2.643e-01  3.428e-01  3.869e-02  5.154e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.93090   1.000 -0.907 -0.835 -0.930
-        2  0.97333  -0.907  1.000  0.922  0.963
-        3  0.92278  -0.835  0.922  1.000  0.894
-        4  0.97249  -0.930  0.963  0.894  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM HESSE     STATUS=OK             23 CALLS         237 TOTAL
-                     EDM=4.47094e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61215e+02   7.20486e-01   5.38748e-05   2.51223e-01
-   2  sg_p1        1.89981e+01   8.37759e-01   1.39666e-04   2.01106e-01
-   3  sg_p2        1.45525e+00   1.05708e-01   9.18371e-05  -4.31134e-01
-   4  sg_p3        1.13503e+00   1.24010e-01   5.84582e-05  -7.41920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.193e-01 -3.889e-01 -2.078e-02 -6.678e-02 
- -3.889e-01  7.049e-01  6.093e-02  9.065e-02 
- -2.078e-02  6.093e-02  1.118e-02  7.399e-03 
- -6.678e-02  9.065e-02  7.399e-03  1.539e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77269   1.000 -0.643 -0.273 -0.747
-        2  0.90365  -0.643  1.000  0.686  0.870
-        3  0.72233  -0.273  0.686  1.000  0.564
-        4  0.90460  -0.747  0.870  0.564  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.215 +- 0.720486
-18.9981 +- 0.837759
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10990.4 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -5.27265e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -9.02997e+01
-   3  sg_p2        9.67628e-01   5.00000e-01   0.00000e+00   1.90034e+02
-   4  sg_p3        1.53208e+00   7.00000e-01  -5.97119e-01   9.04631e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM MIGRAD    STATUS=CONVERGED     170 CALLS         171 TOTAL
-                     EDM=0.000119297    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.62487e+02   5.44568e-01   1.37103e-03   3.37887e-01
-   2  sg_p1        1.91861e+01   6.48831e-01   3.54018e-03   5.42529e-02
-   3  sg_p2        1.42329e+00   1.09535e-01   2.32356e-03  -1.51053e-01
-   4  sg_p3        1.14846e+00   8.06823e-02   1.37891e-03  -1.67722e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.966e-01 -7.261e-02  6.903e-03 -1.862e-02 
- -7.261e-02  4.221e-01  4.896e-02  3.840e-02 
-  6.903e-03  4.896e-02  1.201e-02  4.066e-03 
- -1.862e-02  3.840e-02  4.066e-03  6.512e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55262   1.000 -0.205  0.116 -0.424
-        2  0.83317  -0.205  1.000  0.688  0.732
-        3  0.73763   0.116  0.688  1.000  0.460
-        4  0.78506  -0.424  0.732  0.460  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM HESSE     STATUS=OK             23 CALLS         194 TOTAL
-                     EDM=0.000109915    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.62487e+02   5.36215e-01   2.74206e-04   3.04165e-01
-   2  sg_p1        1.91861e+01   6.18928e-01   7.08036e-04   2.26745e-01
-   3  sg_p2        1.42329e+00   1.07941e-01   4.64712e-04  -4.45250e-01
-   4  sg_p3        1.14846e+00   7.57926e-02   5.51562e-05  -7.36728e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.876e-01 -5.330e-02  8.935e-03 -1.590e-02 
- -5.330e-02  3.840e-01  4.525e-02  3.283e-02 
-  8.935e-03  4.525e-02  1.166e-02  3.512e-03 
- -1.590e-02  3.283e-02  3.512e-03  5.746e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53288   1.000 -0.160  0.154 -0.391
-        2  0.81480  -0.160  1.000  0.676  0.699
-        3  0.72837   0.154  0.676  1.000  0.429
-        4  0.75539  -0.391  0.699  0.429  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-662.487 +- 0.536215
-19.1861 +- 0.618928
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10453.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.71248e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.97336e+01
-   3  sg_p2        1.05577e+00   5.00000e-01   0.00000e+00   6.59080e+01
-   4  sg_p3        1.28275e+00   7.00000e-01  -6.86067e-01   1.15714e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1 added to diagonal of error matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00026 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0624e+00  1.0038e+00  2.0034e+00  2.0551e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.064428 TO DIAGONAL.
- FCN=10417.7 FROM HESSE     STATUS=NOT POSDEF     31 CALLS         501 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01   1.00195e-04  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00   3.48397e-03  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02   1.91254e-04   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02   8.43062e-05  -1.60765e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10417.7 FROM MIGRAD    STATUS=FAILED        511 CALLS         512 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01  -0.00000e+00  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00  -0.00000e+00  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02  -0.00000e+00   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02  -0.00000e+00  -1.60765e+03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.806e-02  1.899e-01  3.204e-03  1.613e-03 
-  1.899e-01  2.061e+00  3.377e-02  1.698e-02 
-  3.204e-03  3.377e-02  5.709e-04  2.868e-04 
-  1.613e-03  1.698e-02  2.868e-04  1.447e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000  0.984  0.998  0.998
-        2  0.98497   0.984  1.000  0.984  0.983
-        3  0.99849   0.998  0.984  1.000  0.998
-        4  0.99838   0.998  0.983  0.998  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10417.7 FROM HESSE     STATUS=OK             53 CALLS         565 TOTAL
-                     EDM=36.107    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.59286e+02   4.94375e-01   4.11775e-02   1.72285e-01
-   2  sg_p1        1.95932e+01   4.96180e-01   1.39359e-04   2.82846e-01
-   3  sg_p2        1.48285e+00   9.77917e-02   7.54293e-02  -4.19013e-01
-   4  sg_p3        1.30319e+00   7.96802e-02   5.20393e-02  -6.78543e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.444e-01  2.547e-03  1.237e-02 -9.665e-03 
-  2.547e-03  2.466e-01  2.750e-02  2.146e-02 
-  1.237e-02  2.750e-02  9.569e-03  2.078e-03 
- -9.665e-03  2.146e-02  2.078e-03  6.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41374   1.000  0.010  0.256 -0.245
-        2  0.69659   0.010  1.000  0.566  0.542
-        3  0.61938   0.256  0.566  1.000  0.267
-        4  0.59812  -0.245  0.542  0.267  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-659.286 +- 0.494375
-19.5932 +- 0.49618
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10619.9 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.21165e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.34414e+00
-   3  sg_p2        9.15926e-01   5.00000e-01   0.00000e+00   4.72583e+01
-   4  sg_p3        1.18271e+00   7.00000e-01  -7.23594e-01  -8.98084e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=7.5268e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61397e+02   5.44897e-01   1.34246e-03   4.14273e-01
-   2  sg_p1        1.90727e+01   5.64070e-01   3.46865e-03  -1.30068e-03
-   3  sg_p2        1.41469e+00   8.73074e-02   2.15873e-03   1.72287e-02
-   4  sg_p3        1.12865e+00   7.39900e-02   1.34213e-03   2.26005e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.970e-01 -9.007e-02  2.908e-03 -1.929e-02 
- -9.007e-02  3.188e-01  2.788e-02  2.852e-02 
-  2.908e-03  2.788e-02  7.626e-03  2.278e-03 
- -1.929e-02  2.852e-02  2.278e-03  5.476e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54360   1.000 -0.293  0.061 -0.478
-        2  0.76817  -0.293  1.000  0.566  0.683
-        3  0.61547   0.061  0.566  1.000  0.353
-        4  0.74345  -0.478  0.683  0.353  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM HESSE     STATUS=OK             23 CALLS         205 TOTAL
-                     EDM=7.54443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61397e+02   5.45454e-01   2.68492e-04   2.58749e-01
-   2  sg_p1        1.90727e+01   5.66991e-01   1.38746e-04   2.11267e-01
-   3  sg_p2        1.41469e+00   8.76116e-02   8.63490e-05  -4.49065e-01
-   4  sg_p3        1.12865e+00   7.42730e-02   2.68425e-04  -7.44396e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.976e-01 -9.125e-02  2.820e-03 -1.942e-02 
- -9.125e-02  3.221e-01  2.831e-02  2.890e-02 
-  2.820e-03  2.831e-02  7.680e-03  2.324e-03 
- -1.942e-02  2.890e-02  2.324e-03  5.518e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54492   1.000 -0.295  0.059 -0.479
-        2  0.77092  -0.295  1.000  0.569  0.685
-        3  0.61896   0.059  0.569  1.000  0.357
-        4  0.74573  -0.479  0.685  0.357  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.397 +- 0.545454
-19.0727 +- 0.566991
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10830.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.44740e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -4.26729e+01
-   3  sg_p2        1.00225e+00   5.00000e-01   0.00000e+00   7.37985e+01
-   4  sg_p3        1.39341e+00   7.00000e-01  -6.45856e-01   4.14284e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=5.54438e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61183e+02   5.58601e-01   1.30703e-03   7.27339e-02
-   2  sg_p1        1.87556e+01   6.26067e-01   3.36619e-03   1.16170e-01
-   3  sg_p2        1.45666e+00   9.85527e-02   2.30722e-03  -2.01954e-01
-   4  sg_p3        1.14103e+00   8.65798e-02   1.35416e-03  -1.57200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.121e-01 -1.357e-01 -1.260e-03 -2.677e-02 
- -1.357e-01  3.929e-01  3.854e-02  4.159e-02 
- -1.260e-03  3.854e-02  9.719e-03  3.757e-03 
- -2.677e-02  4.159e-02  3.757e-03  7.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.61009   1.000 -0.388 -0.023 -0.553
-        2  0.83171  -0.388  1.000  0.624  0.766
-        3  0.66919  -0.023  0.624  1.000  0.440
-        4  0.81600  -0.553  0.766  0.440  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM HESSE     STATUS=OK             23 CALLS         182 TOTAL
-                     EDM=5.46307e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61183e+02   5.24911e-01   5.22814e-05   2.49922e-01
-   2  sg_p1        1.87556e+01   5.52841e-01   6.73237e-04   1.68209e-01
-   3  sg_p2        1.45666e+00   9.52773e-02   4.61444e-04  -4.30514e-01
-   4  sg_p3        1.14103e+00   7.38096e-02   5.41663e-05  -7.39598e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -7.938e-02  3.701e-03 -1.800e-02 
- -7.938e-02  3.062e-01  3.107e-02  2.800e-02 
-  3.701e-03  3.107e-02  9.083e-03  2.581e-03 
- -1.800e-02  2.800e-02  2.581e-03  5.449e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53953   1.000 -0.273  0.074 -0.465
-        2  0.77793  -0.273  1.000  0.589  0.686
-        3  0.63966   0.074  0.589  1.000  0.367
-        4  0.74489  -0.465  0.686  0.367  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.183 +- 0.524911
-18.7556 +- 0.552841
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9992.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.62893e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -5.90807e+01
-   3  sg_p2        9.83939e-01   5.00000e-01   0.00000e+00   6.33616e+01
-   4  sg_p3        1.46565e+00   7.00000e-01  -6.20255e-01   8.16516e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM MIGRAD    STATUS=CONVERGED     169 CALLS         170 TOTAL
-                     EDM=0.000159227    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61178e+02   7.39572e-01   1.34451e-03  -1.70686e-01
-   2  sg_p1        1.89964e+01   8.67158e-01   3.47868e-03   7.20693e-02
-   3  sg_p2        1.45598e+00   1.10743e-01   2.29383e-03  -2.60727e-02
-   4  sg_p3        1.13815e+00   1.28466e-01   1.46277e-03  -4.42263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.471e-01 -4.069e-01 -2.161e-02 -7.041e-02 
- -4.069e-01  7.555e-01  6.659e-02  9.706e-02 
- -2.161e-02  6.659e-02  1.227e-02  8.055e-03 
- -7.041e-02  9.706e-02  8.055e-03  1.652e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.76850   1.000 -0.633 -0.264 -0.741
-        2  0.90376  -0.633  1.000  0.692  0.869
-        3  0.72860  -0.264  0.692  1.000  0.566
-        4  0.90364  -0.741  0.869  0.566  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM HESSE     STATUS=OK             23 CALLS         193 TOTAL
-                     EDM=0.000158903    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61178e+02   7.43466e-01   2.68901e-04   2.49690e-01
-   2  sg_p1        1.89964e+01   8.64124e-01   6.95735e-04   2.00873e-01
-   3  sg_p2        1.45598e+00   1.09398e-01   9.17533e-05  -4.30811e-01
-   4  sg_p3        1.13815e+00   1.28692e-01   2.92554e-04  -7.40712e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.529e-01 -4.125e-01 -2.195e-02 -7.136e-02 
- -4.125e-01  7.502e-01  6.495e-02  9.696e-02 
- -2.195e-02  6.495e-02  1.198e-02  7.923e-03 
- -7.136e-02  9.696e-02  7.923e-03  1.658e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77128   1.000 -0.641 -0.270 -0.745
-        2  0.90304  -0.641  1.000  0.685  0.870
-        3  0.72136  -0.270  0.685  1.000  0.562
-        4  0.90400  -0.745  0.870  0.562  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.178 +- 0.743466
-18.9964 +- 0.864124
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11483.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.74697e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.72491e+01
-   3  sg_p2        7.99758e-01   5.00000e-01   0.00000e+00  -2.45884e+02
-   4  sg_p3        1.30853e+00   7.00000e-01  -6.76585e-01   3.62491e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11413.9 FROM HESSE     STATUS=OK             31 CALLS         214 TOTAL
-                     EDM=0.000179347    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61256e+02   8.07788e-01   1.02475e-03   4.77630e-01
-   2  sg_p1        1.89964e+01   1.08091e+00   3.49772e-03   1.37583e-01
-   3  sg_p2        1.45364e+00   1.98903e-01   2.28196e-03  -3.12364e-01
-   4  sg_p3        1.13104e+00   1.04915e-01   1.45795e-03   2.20302e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11413.9 FROM MIGRAD    STATUS=CONVERGED     223 CALLS         224 TOTAL
-                     EDM=4.35241e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61254e+02   3.21033e-01  -6.85513e-05   2.09409e-01
-   2  sg_p1        1.89941e+01   4.43174e-01  -3.15216e-04   9.14503e-02
-   3  sg_p2        1.45327e+00   7.44907e-02  -1.59636e-04  -3.27444e-01
-   4  sg_p3        1.13082e+00   4.34031e-02  -8.50837e-05   8.12827e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.031e-01  3.647e-02  1.175e-02  3.896e-03 
-  3.647e-02  1.966e-01  1.850e-02  1.029e-02 
-  1.175e-02  1.850e-02  5.551e-03  1.469e-03 
-  3.896e-03  1.029e-02  1.469e-03  1.884e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49775   1.000  0.256  0.491  0.280
-        2  0.64400   0.256  1.000  0.560  0.535
-        3  0.67669   0.491  0.560  1.000  0.454
-        4  0.57117   0.280  0.535  0.454  1.000
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.6515e+00  2.2931e-01  1.6841e+00  6.7381e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 4.658200 TO DIAGONAL.
- FCN=11413.9 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         249 TOTAL
-                     EDM=0.0178461    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61254e+02   3.25109e+00   4.09899e-04   2.52855e-01
-   2  sg_p1        1.89941e+01   1.45159e+00   1.39909e-03   2.00554e-01
-   3  sg_p2        1.45327e+00   6.02184e-01   9.12783e-04  -4.32003e-01
-   4  sg_p3        1.13082e+00   2.35099e-02   5.83181e-04  -7.43554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.063e+01  4.733e+00 -1.984e+00 -3.774e-02 
-  4.733e+00  2.135e+00 -8.861e-01 -1.641e-02 
- -1.984e+00 -8.861e-01  3.715e-01  7.009e-03 
- -3.774e-02 -1.641e-02  7.009e-03  5.527e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99842   1.000  0.993 -0.998 -0.492
-        2  0.99509   0.993  1.000 -0.995 -0.478
-        3  0.99882  -0.998 -0.995  1.000  0.489
-        4  0.50219  -0.492 -0.478  0.489  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.254 +- 3.25109
-18.9941 +- 1.45159
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 661.215 +- 0.720486 (stat) - 1.92885 + 1.27271 (syst); -1.96221/+1.32271 (total)
-   Uncertainty on sg_p1 = 18.9981 +- 0.837759 (stat) - 0.242524 + 0.595022 (syst); -0.484023/+0.727675 (total)
-   Uncertainty on sg_p2 = 1.45525 +- 0.105708 (stat) - 0.0405567 + 0.0276059 (syst); -0.0666212/+0.0596291 (total)
-   Uncertainty on sg_p3 = 1.13503 +- 0.12401 (stat) - 0.00638242 + 0.168157 (syst); -0.0623326/+0.179225 (total)
-   === Baseline plot === </br>
-   norm = 172.355
-JEC     lnN   1.021  -
-JER     lnN   1.01174  -
-btag    lnN   1.06923  -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
deleted file mode 100644
index b2c2dcd..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 1.4591e-06  -1.4591e-06/+3  (68% CL)
-nll S+B -> -0.000957607  nll B -> -0.000957591
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
deleted file mode 100644
index 1e1fab3..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 11.070547:	q_mu = 3.85102	q_A  = 3.84439	CLsb = 0.02486	CLb  = 0.49932	CLs  = 0.04978
-
- -- Asymptotic -- 
-Observed Limit: r < 11.0705
-Expected  2.5%: r < 5.7852
-Expected 16.0%: r < 7.7967
-Expected 50.0%: r < 11.0938
-Expected 84.0%: r < 16.0022
-Expected 97.5%: r < 22.3055
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
deleted file mode 100644
index 94c489c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_650.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  3.4471 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.06923    -
-JER       lnN     1.01174   - 
-JEC       lnN     1.021   -
-trigger   lnN     1.10    -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/signal650_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/signal650_sig.log
deleted file mode 100644
index f094607..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_650_novo_550_1200/signal650_sig.log
+++ /dev/null
@@ -1,1006 +0,0 @@
-
-Processing test.c...
-nSignal_init = 49200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11612.3 FROM MIGRAD    STATUS=INITIATE       60 CALLS          61 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -5.60818e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.83799e+01
-   3  sg_p2        1.51156e+00   5.00000e-01   0.00000e+00   4.45918e-01
-   4  sg_p3        1.65144e+00   7.00000e-01  -5.56433e-01   1.01665e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.07974 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         322 TOTAL
-                     EDM=0.104656    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41163e+02   7.06029e-01   1.74995e-03  -3.76296e-02
-   2  sg_p1        3.38688e+01   5.23325e-01   4.21353e-03   4.07382e-02
-   3  sg_p2        3.61832e+00   1.16199e+00   5.00000e-01  -8.37095e-01
-   4  sg_p3        2.97717e+00   1.74320e+00   3.82781e-02  -1.08231e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11585.6 FROM MIGRAD    STATUS=CONVERGED     333 CALLS         334 TOTAL
-                     EDM=3.51417e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.3 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.41164e+02   7.06029e-01   2.17492e-05  -2.69889e-03
-   2  sg_p1        3.38675e+01   5.23355e-01  -1.32565e-04   1.94685e-03
-   3  sg_p2        4.13673e+00   9.85565e-01   2.50000e-01  -6.51974e-03
-   4  sg_p3        2.98762e+00   1.74432e+00   3.01848e-03  -1.43731e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.029e-03  1.165e-04  1.304e-03 
- -5.029e-03  2.742e-01 -1.478e-04 -1.655e-03 
-  1.165e-04 -1.478e-04  1.075e+00  3.155e-02 
-  1.304e-03 -1.655e-03  3.155e-02  3.342e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01364   1.000 -0.014  0.000  0.001
-        2  0.01371  -0.014  1.000 -0.000 -0.002
-        3  0.01665   0.000 -0.000  1.000  0.017
-        4  0.01677   0.001 -0.002  0.017  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11585.6 FROM HESSE     STATUS=OK             27 CALLS         361 TOTAL
-                     EDM=0.00163365    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.41164e+02   7.06040e-01   1.75058e-03   3.88127e-02
-   2  sg_p1        3.38675e+01   5.23398e-01   1.68541e-03   3.97108e-01
-   3  sg_p2        4.13673e+00   2.58234e+00   5.00000e-01   7.13776e-01
-   4  sg_p3        2.98762e+00   2.30843e+00   1.53112e-02  -1.46921e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.986e-01 -5.100e-03  8.651e-11  1.748e-04 
- -5.100e-03  2.742e-01 -4.651e-09 -1.792e-06 
-  8.651e-11 -4.651e-09  1.369e+02  3.040e-14 
-  1.748e-04 -1.792e-06  3.040e-14  6.385e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.01379   1.000 -0.014  0.000  0.000
-        2  0.01379  -0.014  1.000 -0.000 -0.000
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.00010   0.000 -0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-641.164 +- 0.70604
-33.8675 +- 0.523398
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11904.9 FROM MIGRAD    STATUS=INITIATE       38 CALLS          39 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00  -1.02677e+02
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -8.17543e+01
-   3  sg_p2        1.12614e+00   5.00000e-01  -5.81819e-01   2.25140e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.65465e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11868.8 FROM HESSE     STATUS=OK             23 CALLS         155 TOTAL
-                     EDM=1.60817    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44838e+02   7.48080e-01   1.83180e-03   5.58516e+00
-   2  sg_p1        3.44259e+01   5.95973e-01   5.44743e-03  -4.45013e+00
-   3  sg_p2        2.01408e+00   1.75526e-01   9.79574e-03  -1.65119e+01
-   4  sg_p3        3.37744e+00   1.00364e+00   5.00000e-01   3.60429e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 4
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM MIGRAD    STATUS=CONVERGED     279 CALLS         280 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   6.16255e-03
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03  -9.30316e-04
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02  -2.32163e-02
-   4  sg_p3        5.67282e+00   1.35691e+00  -0.00000e+00   0.00000e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter4
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=11867 FROM HESSE     STATUS=FAILED          9 CALLS         289 TOTAL
-                     EDM=0.000394861    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.44830e+02   7.16643e-01   1.82097e-03   1.61714e-01
-   2  sg_p1        3.46586e+01   5.34936e-01   4.55140e-03   4.84601e-01
-   3  sg_p2        3.09000e+00   3.87436e+00   7.61219e-02   2.38245e-01
-   4  sg_p3        6.72231e+00   1.35691e+00  -0.00000e+00   2.47182e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.137e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  2.865e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  9.676e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  2.015e+00 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-644.83 +- 0.716643
-34.6586 +- 0.534936
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [440,850] --> [440,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [440,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [540,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11362.2 FROM MIGRAD    STATUS=INITIATE      104 CALLS         105 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.40000e+02   6.00000e+00   0.00000e+00   7.10893e+01
-   2  sg_p1        3.00000e+01   2.00000e+00   0.00000e+00  -1.05256e+02
-   3  sg_p2        1.85778e+00   5.00000e-01   0.00000e+00   7.21734e-01
-   4  sg_p3        1.67742e+00   7.00000e-01  -5.47714e-01   2.76085e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM MIGRAD    STATUS=CONVERGED     228 CALLS         229 TOTAL
-                     EDM=7.99199e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.38708e+02   7.08102e-01   1.73490e-03   8.50047e-02
-   2  sg_p1        3.35052e+01   5.28951e-01   4.14123e-03  -3.90699e-02
-   3  sg_p2        2.94947e+00   9.95349e-01   2.87844e-02   1.61687e-02
-   4  sg_p3        2.32505e+00   3.50639e-01   7.88914e-03   4.91799e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.015e-01 -1.242e-02  4.478e-03 -8.703e-03 
- -1.242e-02  2.801e-01  6.824e-03  9.967e-03 
-  4.478e-03  6.824e-03  1.050e+00  2.470e-04 
- -8.703e-03  9.967e-03  2.470e-04  1.234e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.04741   1.000 -0.033  0.006 -0.035
-        2  0.06336  -0.033  1.000  0.013  0.054
-        3  0.01421   0.006  0.013  1.000  0.001
-        4  0.06307  -0.035  0.054  0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11340.9 FROM HESSE     STATUS=OK             27 CALLS         256 TOTAL
-                     EDM=9.40062e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.38708e+02   7.08265e-01   3.46979e-04  -4.30894e-02
-   2  sg_p1        3.35052e+01   5.29379e-01   1.65649e-04   3.58121e-01
-   3  sg_p2        2.94947e+00   1.13847e+00   1.17440e-01   1.80769e-01
-   4  sg_p3        2.32505e+00   3.50890e-01   3.15565e-04  -3.42349e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.017e-01 -1.287e-02  1.066e-02 -9.624e-03 
- -1.287e-02  2.805e-01  1.877e-02  1.130e-02 
-  1.066e-02  1.877e-02  1.401e+00  6.030e-04 
- -9.624e-03  1.130e-02  6.030e-04  1.236e-01 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05204   1.000 -0.034  0.013 -0.039
-        2  0.07498  -0.034  1.000  0.030  0.061
-        3  0.03295   0.013  0.030  1.000  0.001
-        4  0.07086  -0.039  0.061  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-638.708 +- 0.708265
-33.5052 +- 0.529379
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10721.2 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.43808e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.21270e+01
-   3  sg_p2        7.95726e-01   5.00000e-01   0.00000e+00  -2.45454e+02
-   4  sg_p3        1.33597e+00   7.00000e-01  -6.66570e-01   4.99104e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM MIGRAD    STATUS=CONVERGED     213 CALLS         214 TOTAL
-                     EDM=1.33202e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61215e+02   1.25169e+00   1.34687e-03   3.04499e-03
-   2  sg_p1        1.89981e+01   1.55542e+00   3.49164e-03   1.91712e-04
-   3  sg_p2        1.45525e+00   1.90355e-01   2.29593e-03  -6.77581e-03
-   4  sg_p3        1.13503e+00   2.26730e-01   1.46146e-03   4.83701e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.568e+00 -1.781e+00 -1.994e-01 -2.643e-01 
- -1.781e+00  2.456e+00  2.755e-01  3.428e-01 
- -1.994e-01  2.755e-01  3.632e-02  3.869e-02 
- -2.643e-01  3.428e-01  3.869e-02  5.154e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.93090   1.000 -0.907 -0.835 -0.930
-        2  0.97333  -0.907  1.000  0.922  0.963
-        3  0.92278  -0.835  0.922  1.000  0.894
-        4  0.97249  -0.930  0.963  0.894  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10655.4 FROM HESSE     STATUS=OK             23 CALLS         237 TOTAL
-                     EDM=4.47094e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61215e+02   7.20486e-01   5.38748e-05   2.51223e-01
-   2  sg_p1        1.89981e+01   8.37759e-01   1.39666e-04   2.01106e-01
-   3  sg_p2        1.45525e+00   1.05708e-01   9.18371e-05  -4.31134e-01
-   4  sg_p3        1.13503e+00   1.24010e-01   5.84582e-05  -7.41920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.193e-01 -3.889e-01 -2.078e-02 -6.678e-02 
- -3.889e-01  7.049e-01  6.093e-02  9.065e-02 
- -2.078e-02  6.093e-02  1.118e-02  7.399e-03 
- -6.678e-02  9.065e-02  7.399e-03  1.539e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77269   1.000 -0.643 -0.273 -0.747
-        2  0.90365  -0.643  1.000  0.686  0.870
-        3  0.72233  -0.273  0.686  1.000  0.564
-        4  0.90460  -0.747  0.870  0.564  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.215 +- 0.720486
-18.9981 +- 0.837759
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10990.4 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -5.27265e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -9.02997e+01
-   3  sg_p2        9.67628e-01   5.00000e-01   0.00000e+00   1.90034e+02
-   4  sg_p3        1.53208e+00   7.00000e-01  -5.97119e-01   9.04631e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM MIGRAD    STATUS=CONVERGED     170 CALLS         171 TOTAL
-                     EDM=0.000119297    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.62487e+02   5.44568e-01   1.37103e-03   3.37887e-01
-   2  sg_p1        1.91861e+01   6.48831e-01   3.54018e-03   5.42529e-02
-   3  sg_p2        1.42329e+00   1.09535e-01   2.32356e-03  -1.51053e-01
-   4  sg_p3        1.14846e+00   8.06823e-02   1.37891e-03  -1.67722e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.966e-01 -7.261e-02  6.903e-03 -1.862e-02 
- -7.261e-02  4.221e-01  4.896e-02  3.840e-02 
-  6.903e-03  4.896e-02  1.201e-02  4.066e-03 
- -1.862e-02  3.840e-02  4.066e-03  6.512e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55262   1.000 -0.205  0.116 -0.424
-        2  0.83317  -0.205  1.000  0.688  0.732
-        3  0.73763   0.116  0.688  1.000  0.460
-        4  0.78506  -0.424  0.732  0.460  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10899.1 FROM HESSE     STATUS=OK             23 CALLS         194 TOTAL
-                     EDM=0.000109915    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.62487e+02   5.36215e-01   2.74206e-04   3.04165e-01
-   2  sg_p1        1.91861e+01   6.18928e-01   7.08036e-04   2.26745e-01
-   3  sg_p2        1.42329e+00   1.07941e-01   4.64712e-04  -4.45250e-01
-   4  sg_p3        1.14846e+00   7.57926e-02   5.51562e-05  -7.36728e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.876e-01 -5.330e-02  8.935e-03 -1.590e-02 
- -5.330e-02  3.840e-01  4.525e-02  3.283e-02 
-  8.935e-03  4.525e-02  1.166e-02  3.512e-03 
- -1.590e-02  3.283e-02  3.512e-03  5.746e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53288   1.000 -0.160  0.154 -0.391
-        2  0.81480  -0.160  1.000  0.676  0.699
-        3  0.72837   0.154  0.676  1.000  0.429
-        4  0.75539  -0.391  0.699  0.429  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-662.487 +- 0.536215
-19.1861 +- 0.618928
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10453.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.71248e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -3.97336e+01
-   3  sg_p2        1.05577e+00   5.00000e-01   0.00000e+00   6.59080e+01
-   4  sg_p3        1.28275e+00   7.00000e-01  -6.86067e-01   1.15714e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1 added to diagonal of error matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00026 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.0624e+00  1.0038e+00  2.0034e+00  2.0551e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.064428 TO DIAGONAL.
- FCN=10417.7 FROM HESSE     STATUS=NOT POSDEF     31 CALLS         501 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01   1.00195e-04  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00   3.48397e-03  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02   1.91254e-04   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02   8.43062e-05  -1.60765e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10417.7 FROM MIGRAD    STATUS=FAILED        511 CALLS         512 TOTAL
-                     EDM=0.153481    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.59286e+02   1.34383e-01  -0.00000e+00  -2.17921e+00
-   2  sg_p1        1.95932e+01   1.42607e+00  -0.00000e+00  -1.51809e-02
-   3  sg_p2        1.48285e+00   2.38933e-02  -0.00000e+00   7.07461e+02
-   4  sg_p3        1.30319e+00   1.20299e-02  -0.00000e+00  -1.60765e+03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.806e-02  1.899e-01  3.204e-03  1.613e-03 
-  1.899e-01  2.061e+00  3.377e-02  1.698e-02 
-  3.204e-03  3.377e-02  5.709e-04  2.868e-04 
-  1.613e-03  1.698e-02  2.868e-04  1.447e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000  0.984  0.998  0.998
-        2  0.98497   0.984  1.000  0.984  0.983
-        3  0.99849   0.998  0.984  1.000  0.998
-        4  0.99838   0.998  0.983  0.998  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10417.7 FROM HESSE     STATUS=OK             53 CALLS         565 TOTAL
-                     EDM=36.107    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.59286e+02   4.94375e-01   4.11775e-02   1.72285e-01
-   2  sg_p1        1.95932e+01   4.96180e-01   1.39359e-04   2.82846e-01
-   3  sg_p2        1.48285e+00   9.77917e-02   7.54293e-02  -4.19013e-01
-   4  sg_p3        1.30319e+00   7.96802e-02   5.20393e-02  -6.78543e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.444e-01  2.547e-03  1.237e-02 -9.665e-03 
-  2.547e-03  2.466e-01  2.750e-02  2.146e-02 
-  1.237e-02  2.750e-02  9.569e-03  2.078e-03 
- -9.665e-03  2.146e-02  2.078e-03  6.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41374   1.000  0.010  0.256 -0.245
-        2  0.69659   0.010  1.000  0.566  0.542
-        3  0.61938   0.256  0.566  1.000  0.267
-        4  0.59812  -0.245  0.542  0.267  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-659.286 +- 0.494375
-19.5932 +- 0.49618
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10619.9 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.21165e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.34414e+00
-   3  sg_p2        9.15926e-01   5.00000e-01   0.00000e+00   4.72583e+01
-   4  sg_p3        1.18271e+00   7.00000e-01  -7.23594e-01  -8.98084e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM MIGRAD    STATUS=CONVERGED     181 CALLS         182 TOTAL
-                     EDM=7.5268e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61397e+02   5.44897e-01   1.34246e-03   4.14273e-01
-   2  sg_p1        1.90727e+01   5.64070e-01   3.46865e-03  -1.30068e-03
-   3  sg_p2        1.41469e+00   8.73074e-02   2.15873e-03   1.72287e-02
-   4  sg_p3        1.12865e+00   7.39900e-02   1.34213e-03   2.26005e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.970e-01 -9.007e-02  2.908e-03 -1.929e-02 
- -9.007e-02  3.188e-01  2.788e-02  2.852e-02 
-  2.908e-03  2.788e-02  7.626e-03  2.278e-03 
- -1.929e-02  2.852e-02  2.278e-03  5.476e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54360   1.000 -0.293  0.061 -0.478
-        2  0.76817  -0.293  1.000  0.566  0.683
-        3  0.61547   0.061  0.566  1.000  0.353
-        4  0.74345  -0.478  0.683  0.353  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10560.4 FROM HESSE     STATUS=OK             23 CALLS         205 TOTAL
-                     EDM=7.54443e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61397e+02   5.45454e-01   2.68492e-04   2.58749e-01
-   2  sg_p1        1.90727e+01   5.66991e-01   1.38746e-04   2.11267e-01
-   3  sg_p2        1.41469e+00   8.76116e-02   8.63490e-05  -4.49065e-01
-   4  sg_p3        1.12865e+00   7.42730e-02   2.68425e-04  -7.44396e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.976e-01 -9.125e-02  2.820e-03 -1.942e-02 
- -9.125e-02  3.221e-01  2.831e-02  2.890e-02 
-  2.820e-03  2.831e-02  7.680e-03  2.324e-03 
- -1.942e-02  2.890e-02  2.324e-03  5.518e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.54492   1.000 -0.295  0.059 -0.479
-        2  0.77092  -0.295  1.000  0.569  0.685
-        3  0.61896   0.059  0.569  1.000  0.357
-        4  0.74573  -0.479  0.685  0.357  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.397 +- 0.545454
-19.0727 +- 0.566991
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10830.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -4.44740e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -4.26729e+01
-   3  sg_p2        1.00225e+00   5.00000e-01   0.00000e+00   7.37985e+01
-   4  sg_p3        1.39341e+00   7.00000e-01  -6.45856e-01   4.14284e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM MIGRAD    STATUS=CONVERGED     158 CALLS         159 TOTAL
-                     EDM=5.54438e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61183e+02   5.58601e-01   1.30703e-03   7.27339e-02
-   2  sg_p1        1.87556e+01   6.26067e-01   3.36619e-03   1.16170e-01
-   3  sg_p2        1.45666e+00   9.85527e-02   2.30722e-03  -2.01954e-01
-   4  sg_p3        1.14103e+00   8.65798e-02   1.35416e-03  -1.57200e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.121e-01 -1.357e-01 -1.260e-03 -2.677e-02 
- -1.357e-01  3.929e-01  3.854e-02  4.159e-02 
- -1.260e-03  3.854e-02  9.719e-03  3.757e-03 
- -2.677e-02  4.159e-02  3.757e-03  7.499e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.61009   1.000 -0.388 -0.023 -0.553
-        2  0.83171  -0.388  1.000  0.624  0.766
-        3  0.66919  -0.023  0.624  1.000  0.440
-        4  0.81600  -0.553  0.766  0.440  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10770.7 FROM HESSE     STATUS=OK             23 CALLS         182 TOTAL
-                     EDM=5.46307e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61183e+02   5.24911e-01   5.22814e-05   2.49922e-01
-   2  sg_p1        1.87556e+01   5.52841e-01   6.73237e-04   1.68209e-01
-   3  sg_p2        1.45666e+00   9.52773e-02   4.61444e-04  -4.30514e-01
-   4  sg_p3        1.14103e+00   7.38096e-02   5.41663e-05  -7.39598e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -7.938e-02  3.701e-03 -1.800e-02 
- -7.938e-02  3.062e-01  3.107e-02  2.800e-02 
-  3.701e-03  3.107e-02  9.083e-03  2.581e-03 
- -1.800e-02  2.800e-02  2.581e-03  5.449e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.53953   1.000 -0.273  0.074 -0.465
-        2  0.77793  -0.273  1.000  0.589  0.686
-        3  0.63966   0.074  0.589  1.000  0.367
-        4  0.74489  -0.465  0.686  0.367  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.183 +- 0.524911
-18.7556 +- 0.552841
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=9992.6 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -3.62893e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00  -5.90807e+01
-   3  sg_p2        9.83939e-01   5.00000e-01   0.00000e+00   6.33616e+01
-   4  sg_p3        1.46565e+00   7.00000e-01  -6.20255e-01   8.16516e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM MIGRAD    STATUS=CONVERGED     169 CALLS         170 TOTAL
-                     EDM=0.000159227    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61178e+02   7.39572e-01   1.34451e-03  -1.70686e-01
-   2  sg_p1        1.89964e+01   8.67158e-01   3.47868e-03   7.20693e-02
-   3  sg_p2        1.45598e+00   1.10743e-01   2.29383e-03  -2.60727e-02
-   4  sg_p3        1.13815e+00   1.28466e-01   1.46277e-03  -4.42263e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.471e-01 -4.069e-01 -2.161e-02 -7.041e-02 
- -4.069e-01  7.555e-01  6.659e-02  9.706e-02 
- -2.161e-02  6.659e-02  1.227e-02  8.055e-03 
- -7.041e-02  9.706e-02  8.055e-03  1.652e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.76850   1.000 -0.633 -0.264 -0.741
-        2  0.90376  -0.633  1.000  0.692  0.869
-        3  0.72860  -0.264  0.692  1.000  0.566
-        4  0.90364  -0.741  0.869  0.566  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=9935.37 FROM HESSE     STATUS=OK             23 CALLS         193 TOTAL
-                     EDM=0.000158903    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61178e+02   7.43466e-01   2.68901e-04   2.49690e-01
-   2  sg_p1        1.89964e+01   8.64124e-01   6.95735e-04   2.00873e-01
-   3  sg_p2        1.45598e+00   1.09398e-01   9.17533e-05  -4.30811e-01
-   4  sg_p3        1.13815e+00   1.28692e-01   2.92554e-04  -7.40712e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  5.529e-01 -4.125e-01 -2.195e-02 -7.136e-02 
- -4.125e-01  7.502e-01  6.495e-02  9.696e-02 
- -2.195e-02  6.495e-02  1.198e-02  7.923e-03 
- -7.136e-02  9.696e-02  7.923e-03  1.658e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.77128   1.000 -0.641 -0.270 -0.745
-        2  0.90304  -0.641  1.000  0.685  0.870
-        3  0.72136  -0.270  0.685  1.000  0.562
-        4  0.90400  -0.745  0.870  0.562  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.178 +- 0.743466
-18.9964 +- 0.864124
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,850] --> [480,850]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,850]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,750]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=11483.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.55000e+02   5.00000e+00   0.00000e+00  -2.74697e+02
-   2  sg_p1        1.75000e+01   1.50000e+00   0.00000e+00   4.72491e+01
-   3  sg_p2        7.99758e-01   5.00000e-01   0.00000e+00  -2.45884e+02
-   4  sg_p3        1.30853e+00   7.00000e-01  -6.76585e-01   3.62491e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=11413.9 FROM HESSE     STATUS=OK             31 CALLS         214 TOTAL
-                     EDM=0.000179347    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61256e+02   8.07788e-01   1.02475e-03   4.77630e-01
-   2  sg_p1        1.89964e+01   1.08091e+00   3.49772e-03   1.37583e-01
-   3  sg_p2        1.45364e+00   1.98903e-01   2.28196e-03  -3.12364e-01
-   4  sg_p3        1.13104e+00   1.04915e-01   1.45795e-03   2.20302e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=11413.9 FROM MIGRAD    STATUS=CONVERGED     223 CALLS         224 TOTAL
-                     EDM=4.35241e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        6.61254e+02   3.21033e-01  -6.85513e-05   2.09409e-01
-   2  sg_p1        1.89941e+01   4.43174e-01  -3.15216e-04   9.14503e-02
-   3  sg_p2        1.45327e+00   7.44907e-02  -1.59636e-04  -3.27444e-01
-   4  sg_p3        1.13082e+00   4.34031e-02  -8.50837e-05   8.12827e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.031e-01  3.647e-02  1.175e-02  3.896e-03 
-  3.647e-02  1.966e-01  1.850e-02  1.029e-02 
-  1.175e-02  1.850e-02  5.551e-03  1.469e-03 
-  3.896e-03  1.029e-02  1.469e-03  1.884e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.49775   1.000  0.256  0.491  0.280
-        2  0.64400   0.256  1.000  0.560  0.535
-        3  0.67669   0.491  0.560  1.000  0.454
-        4  0.57117   0.280  0.535  0.454  1.000
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.6515e+00  2.2931e-01  1.6841e+00  6.7381e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 4.658200 TO DIAGONAL.
- FCN=11413.9 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         249 TOTAL
-                     EDM=0.0178461    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        6.61254e+02   3.25109e+00   4.09899e-04   2.52855e-01
-   2  sg_p1        1.89941e+01   1.45159e+00   1.39909e-03   2.00554e-01
-   3  sg_p2        1.45327e+00   6.02184e-01   9.12783e-04  -4.32003e-01
-   4  sg_p3        1.13082e+00   2.35099e-02   5.83181e-04  -7.43554e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.063e+01  4.733e+00 -1.984e+00 -3.774e-02 
-  4.733e+00  2.135e+00 -8.861e-01 -1.641e-02 
- -1.984e+00 -8.861e-01  3.715e-01  7.009e-03 
- -3.774e-02 -1.641e-02  7.009e-03  5.527e-04 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99842   1.000  0.993 -0.998 -0.492
-        2  0.99509   0.993  1.000 -0.995 -0.478
-        3  0.99882  -0.998 -0.995  1.000  0.489
-        4  0.50219  -0.492 -0.478  0.489  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-650
-661.254 +- 3.25109
-18.9941 +- 1.45159
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 661.215 +- 0.720486 (stat) - 1.92885 + 1.27271 (syst); -1.96221/+1.32271 (total)
-   Uncertainty on sg_p1 = 18.9981 +- 0.837759 (stat) - 0.242524 + 0.595022 (syst); -0.484023/+0.727675 (total)
-   Uncertainty on sg_p2 = 1.45525 +- 0.105708 (stat) - 0.0405567 + 0.0276059 (syst); -0.0666212/+0.0596291 (total)
-   Uncertainty on sg_p3 = 1.13503 +- 0.12401 (stat) - 0.00638242 + 0.168157 (syst); -0.0623326/+0.179225 (total)
-   === Baseline plot === </br>
-   norm = 172.355
-JEC     lnN   1.021  -
-JER     lnN   1.01174  -
-btag    lnN   1.06923  -
-sg_p0   param   661.215 -1.96221/+1.32271
-sg_p1   param   18.9981 -0.484023/+0.727675
-sg_p2   param   1.45525  -0.0666212/+0.0596291
-sg_p3   param   1.13503  -0.0623326/+0.179225
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
deleted file mode 100644
index c89967c..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Info in <Minuit2>: MinuReal time 0:00:00, CP time 0.040
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00828095  -0.00828095/+2.81031  (68% CL)
-nll S+B -> -1.58204e-05  nll B -> -1.17123e-05
-Done in 0.01 min (cpu), 0.01 min (real)
-ors>: Minos error calculation failed for all parameters
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
deleted file mode 100644
index 4ab5860..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 7.780502:	q_mu = 3.83350	q_A  = 3.83378	CLsb = 0.02512	CLb  = 0.50003	CLs  = 0.05024
-
- -- Asymptotic -- 
-Observed Limit: r < 7.7805
-Expected  2.5%: r < 4.0578
-Expected 16.0%: r < 5.4686
-Expected 50.0%: r < 7.7812
-Expected 84.0%: r < 11.2861
-Expected 97.5%: r < 15.8786
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt
deleted file mode 100644
index c484fa9..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.13008 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07417    -
-JER       lnN     1.01351   - 
-JEC       lnN     1.01674   -
-trigger   lnN     1.10    -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/signal750_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/signal750_sig.log
deleted file mode 100644
index e4e749b..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_crystal_1_550_1200/signal750_sig.log
+++ /dev/null
@@ -1,1000 +0,0 @@
-
-Processing test.c...
-nSignal_init = 99200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28581.6 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.97285e+02
-   2  sg_p1        3.25000e+01   2.50000e+00   0.00000e+00  -5.26336e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -1.34034e+00
-   4  sg_p3        8.83623e-01   7.00000e-01  -8.44345e-01  -8.85145e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28481.9 FROM HESSE     STATUS=OK             29 CALLS         226 TOTAL
-                     EDM=0.176135    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65606e-01   1.82652e-03   1.78201e-02
-   2  sg_p1        3.85553e+01   5.02370e-01   4.68920e-03  -1.33549e-02
-   3  sg_p2        2.98442e+00   1.00281e+00   5.00000e-01  -1.40904e+00
-   4  sg_p3        1.76206e+00   9.56239e-02   3.11054e-03   1.18363e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28481.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65607e-01   1.02030e-05  -2.48246e-04
-   2  sg_p1        3.85547e+01   5.02385e-01  -5.28821e-05  -6.46421e-04
-   3  sg_p2        3.57615e+00   9.22634e-01   2.50000e-01   0.00000e+00
-   4  sg_p3        1.76174e+00   9.56180e-02  -1.05757e-04  -3.32008e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.199e-01 -1.433e-02 -2.179e-05 -1.376e-02 
- -1.433e-02  2.526e-01  6.391e-05  2.295e-02 
- -2.179e-05  6.391e-05  9.034e-01  1.802e-05 
- -1.376e-02  2.295e-02  1.802e-05  9.146e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.26700   1.000 -0.050 -0.000 -0.254
-        2  0.48307  -0.050  1.000  0.000  0.477
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.53025  -0.254  0.477  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=28481.9 FROM HESSE     STATUS=FAILED          7 CALLS         245 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.41076e+02   5.45075e-01   1.82653e-03  -1.12350e-01
-   2  sg_p1        3.85547e+01   4.39914e-01   1.87568e-03   5.05653e-01
-   3  sg_p2        2.36258e+00   1.23330e+00   2.50000e-01   4.45003e-01
-   4  sg_p3        1.76174e+00   8.10352e-02  -1.05757e-04  -5.19731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.971e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.936e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  1.703e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  6.568e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-741.076 +- 0.545075
-38.5547 +- 0.439914
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28878.9 FROM MIGRAD    STATUS=INITIATE      112 CALLS         113 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.25454e+02
-   2  sg_p1        3.56130e+01   2.50000e+00   0.00000e+00   6.94117e+01
-   3  sg_p2        1.20743e+00   5.00000e-01  -5.43373e-01  -2.30464e+01
-   4  sg_p3        1.10042e+00   7.00000e-01   0.00000e+00  -5.72255e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             29 CALLS         423 TOTAL
-                     EDM=0.262248    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01   1.86583e-03  -3.18372e-03
-   2  sg_p1        3.93530e+01   5.09571e-01   5.09296e-03   1.74419e-02
-   3  sg_p2        2.25372e+00   5.17025e-01   3.03226e-01  -3.45943e+00
-   4  sg_p3        1.81743e+00   9.76205e-02   3.26395e-03  -1.13200e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28834.9 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=1.01318e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01  -7.43401e-07  -1.39873e-04
-   2  sg_p1        3.93527e+01   5.09582e-01  -3.36925e-05  -1.24591e-03
-   3  sg_p2        2.63229e+00   5.18825e-01   1.51613e-01   0.00000e+00
-   4  sg_p3        1.81743e+00   9.76204e-02  -7.43797e-07  -3.30431e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.287e-01  8.912e-03 -6.933e-06 -1.113e-02 
-  8.912e-03  2.599e-01  3.934e-05  2.184e-02 
- -6.933e-06  3.934e-05  2.731e-01  9.253e-06 
- -1.113e-02  2.184e-02  9.253e-06  9.533e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23810   1.000  0.030 -0.000 -0.199
-        2  0.45486   0.030  1.000  0.000  0.439
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.48738  -0.199  0.439  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             31 CALLS         468 TOTAL
-                     EDM=0.968431    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.44466e+02   5.73402e-01   7.46332e-04  -1.52619e-02
-   2  sg_p1        3.93527e+01   5.10469e-01   2.03719e-03   5.80225e-01
-   3  sg_p2        2.63229e+00   6.39685e-01   5.10000e-01   5.29399e-02
-   4  sg_p3        1.81743e+00   9.78361e-02   1.30558e-03  -5.01491e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.288e-01  8.226e-03  3.816e-12 -1.124e-02 
-  8.226e-03  2.608e-01  8.047e-12  2.210e-02 
-  3.816e-12  8.047e-12  4.185e-01 -1.617e-12 
- -1.124e-02  2.210e-02 -1.617e-12  9.575e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23882   1.000  0.028  0.000 -0.200
-        2  0.45797   0.028  1.000  0.000  0.442
-        3  0.00000   0.000  0.000  1.000 -0.000
-        4  0.49076  -0.200  0.442 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-744.466 +- 0.573402
-39.3527 +- 0.510469
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28016 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00   3.75442e+02
-   2  sg_p1        3.34297e+01   2.50000e+00   7.44428e-02  -3.45085e+00
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -3.67110e-01
-   4  sg_p3        9.50531e-01   7.00000e-01   0.00000e+00  -4.25357e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.1257e+00  1.0000e+00  1.0212e+00  3.1045e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.128794 TO DIAGONAL.
- FCN=27907.7 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         189 TOTAL
-                     EDM=0.288891    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37485e+02   6.72582e+00   1.83947e-03   6.18860e+00
-   2  sg_p1        3.83510e+01   1.04522e+00   4.63621e-03   1.08179e+00
-   3  sg_p2        3.44126e+00   3.98936e+00   5.00000e-01  -6.55275e-02
-   4  sg_p3        1.83188e+00   4.34020e-01   3.32682e-03  -4.03275e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=27907.7 FROM MIGRAD    STATUS=FAILED        299 CALLS         300 TOTAL
-                     EDM=0.0114055    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37435e+02   5.50832e-01   1.82376e-03   7.13141e-01
-   2  sg_p1        3.83308e+01   4.54574e-01   4.46650e-03  -6.17184e-02
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01  -3.55749e-02
-   4  sg_p3        1.83269e+00   3.76328e-02   3.32811e-03  -3.75326e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.034e-01  1.043e-03  0.000e+00 -3.749e-03 
-  1.043e-03  2.068e-01  0.000e+00  5.570e-03 
-  0.000e+00  0.000e+00  3.813e+01  0.000e+00 
- -3.749e-03  5.570e-03  0.000e+00  1.416e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.19272   1.000  0.004  0.000 -0.181
-        2  0.33174   0.004  1.000  0.000  0.325
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.37301  -0.181  0.325  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=27907.7 FROM HESSE     STATUS=OK             29 CALLS         329 TOTAL
-                     EDM=0.0259975    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.37435e+02   5.53707e-01   3.64751e-04  -2.17856e-01
-   2  sg_p1        3.83308e+01   4.70224e-01   1.78660e-04   4.85291e-01
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01   3.71491e-01
-   4  sg_p3        1.83269e+00   1.03955e-01   8.87511e-02  -4.96528e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.066e-01 -6.417e-03  3.317e-09 -1.192e-02 
- -6.417e-03  2.212e-01 -1.340e-08  1.984e-02 
-  3.317e-09 -1.340e-08  3.813e+01 -1.310e-09 
- -1.192e-02  1.984e-02 -1.310e-09  1.081e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21706   1.000 -0.025  0.000 -0.207
-        2  0.41028  -0.025  1.000 -0.000  0.406
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.45113  -0.207  0.406 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-737.435 +- 0.553707
-38.3308 +- 0.470224
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26875.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.68092e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.28555e+02
-   3  sg_p2        9.73975e-01   5.00000e-01   0.00000e+00   1.06582e+02
-   4  sg_p3        1.78677e+00   7.00000e-01  -5.11511e-01  -3.22236e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM MIGRAD    STATUS=CONVERGED     164 CALLS         165 TOTAL
-                     EDM=2.25921e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62526e+02   3.87529e-01   1.47757e-03   1.66856e-01
-   2  sg_p1        2.37778e+01   3.73075e-01   5.01466e-03   1.71102e-02
-   3  sg_p2        1.45537e+00   7.21350e-02   3.19921e-03  -4.87398e-02
-   4  sg_p3        1.20603e+00   3.81131e-02   1.25918e-03  -2.52445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.502e-01 -1.364e-02  4.886e-03 -4.422e-03 
- -1.364e-02  1.393e-01  9.457e-03  8.215e-03 
-  4.886e-03  9.457e-03  5.205e-03  5.123e-04 
- -4.422e-03  8.215e-03  5.123e-04  1.453e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38125   1.000 -0.094  0.175 -0.299
-        2  0.62877  -0.094  1.000  0.351  0.577
-        3  0.41098   0.175  0.351  1.000  0.186
-        4  0.62880  -0.299  0.577  0.186  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM HESSE     STATUS=OK             23 CALLS         188 TOTAL
-                     EDM=2.25799e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62526e+02   3.86914e-01   2.95513e-04   4.30739e-01
-   2  sg_p1        2.37778e+01   3.70943e-01   2.00586e-04  -5.19330e-01
-   3  sg_p2        1.45537e+00   7.09082e-02   1.27968e-04  -4.31078e-01
-   4  sg_p3        1.20603e+00   3.81052e-02   2.51836e-04  -7.14737e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.497e-01 -1.520e-02  4.447e-03 -4.507e-03 
- -1.520e-02  1.377e-01  8.786e-03  8.163e-03 
-  4.447e-03  8.786e-03  5.030e-03  4.843e-04 
- -4.507e-03  8.163e-03  4.843e-04  1.452e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37767   1.000 -0.106  0.162 -0.306
-        2  0.62321  -0.106  1.000  0.334  0.577
-        3  0.39101   0.162  0.334  1.000  0.179
-        4  0.62860  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.526 +- 0.386914
-23.7778 +- 0.370943
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27294.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46095e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.72944e+02
-   3  sg_p2        7.03339e-01   5.00000e-01   0.00000e+00   4.74696e+01
-   4  sg_p3        1.99296e+00   7.00000e-01  -4.45137e-01   5.15362e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM MIGRAD    STATUS=CONVERGED     184 CALLS         185 TOTAL
-                     EDM=3.95104e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.64393e+02   4.66702e-01   1.57008e-03  -7.87347e-02
-   2  sg_p1        2.18741e+01   6.89309e-01   6.78283e-03   4.79306e-02
-   3  sg_p2        1.13032e+00   8.74630e-02   2.49913e-03  -1.65710e-02
-   4  sg_p3        1.03518e+00   4.60093e-02   1.05785e-03  -5.74757e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.178e-01  6.647e-02  1.847e-02 -1.062e-03 
-  6.647e-02  4.782e-01  4.788e-02  2.645e-02 
-  1.847e-02  4.788e-02  7.654e-03  2.499e-03 
- -1.062e-03  2.645e-02  2.499e-03  2.117e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62194   1.000  0.206  0.452 -0.049
-        2  0.90325   0.206  1.000  0.791  0.831
-        3  0.84679   0.452  0.791  1.000  0.621
-        4  0.86298  -0.049  0.831  0.621  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM HESSE     STATUS=OK             23 CALLS         208 TOTAL
-                     EDM=3.92733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.64393e+02   4.66923e-01   3.14016e-04   5.00390e-01
-   2  sg_p1        2.18741e+01   6.85574e-01   2.71313e-04  -8.48247e-01
-   3  sg_p2        1.13032e+00   8.71717e-02   9.99652e-05  -5.79816e-01
-   4  sg_p3        1.03518e+00   4.58105e-02   2.11569e-04  -7.81343e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.180e-01  6.562e-02  1.843e-02 -1.114e-03 
-  6.562e-02  4.730e-01  4.734e-02  2.614e-02 
-  1.843e-02  4.734e-02  7.603e-03  2.467e-03 
- -1.114e-03  2.614e-02  2.467e-03  2.099e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62241   1.000  0.204  0.453 -0.052
-        2  0.90213   0.204  1.000  0.789  0.830
-        3  0.84567   0.453  0.789  1.000  0.617
-        4  0.86169  -0.052  0.830  0.617  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-764.393 +- 0.466923
-21.8741 +- 0.685574
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26264.2 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46794e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.17400e+02
-   3  sg_p2        1.05302e+00   5.00000e-01   0.00000e+00   5.34210e+01
-   4  sg_p3        2.10879e+00   7.00000e-01  -4.08780e-01   9.24467e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=5.02008e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.60633e+02   4.10250e-01   1.42251e-03   1.29588e-01
-   2  sg_p1        2.27934e+01   4.40097e-01   5.56534e-03  -9.52994e-03
-   3  sg_p2        1.26768e+00   7.07747e-02   2.70462e-03  -3.34938e-03
-   4  sg_p3        1.17410e+00   3.88711e-02   1.21241e-03  -3.97072e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.683e-01  2.199e-02  1.072e-02 -2.580e-03 
-  2.199e-02  1.941e-01  1.837e-02  1.084e-02 
-  1.072e-02  1.837e-02  5.011e-03  9.405e-04 
- -2.580e-03  1.084e-02  9.405e-04  1.511e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48460   1.000  0.122  0.369 -0.162
-        2  0.74869   0.122  1.000  0.589  0.633
-        3  0.66331   0.369  0.589  1.000  0.342
-        4  0.67935  -0.162  0.633  0.342  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM HESSE     STATUS=OK             23 CALLS         197 TOTAL
-                     EDM=5.03332e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.60633e+02   4.10594e-01   2.84502e-04   3.62318e-01
-   2  sg_p1        2.27934e+01   4.40772e-01   2.22614e-04  -6.78399e-01
-   3  sg_p2        1.26768e+00   7.09147e-02   1.08185e-04  -5.15453e-01
-   4  sg_p3        1.17410e+00   3.89135e-02   4.84963e-05  -7.26883e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.686e-01  2.210e-02  1.079e-02 -2.577e-03 
-  2.210e-02  1.946e-01  1.847e-02  1.088e-02 
-  1.079e-02  1.847e-02  5.031e-03  9.476e-04 
- -2.577e-03  1.088e-02  9.476e-04  1.514e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48592   1.000  0.122  0.371 -0.161
-        2  0.74959   0.122  1.000  0.590  0.634
-        3  0.66497   0.371  0.590  1.000  0.343
-        4  0.68021  -0.161  0.634  0.343  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-760.633 +- 0.410594
-22.7934 +- 0.440772
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26499.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.41562e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.39733e+02
-   3  sg_p2        8.25062e-01   5.00000e-01   0.00000e+00   1.45082e+01
-   4  sg_p3        2.10061e+00   7.00000e-01  -4.11326e-01   8.60481e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2210e+00  1.2206e+00  2.0001e+00  2.0003e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.223025 TO DIAGONAL.
- FCN=26111.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         181 TOTAL
-                     EDM=41.1386    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62134e+02   2.03776e-03   1.58217e-05   4.03447e+01
-   2  sg_p1        2.29588e+01   1.67018e-03   5.95918e-05   2.08825e+01
-   3  sg_p2        1.19457e+00   2.72680e-04   2.72376e-05   7.30730e+01
-   4  sg_p3        1.16508e+00   2.68104e-01   1.29100e-06   8.78813e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00425 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.5660e-01 -1.6788e-04  2.0585e-14  4.4568e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.461061 TO DIAGONAL.
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=26110.6 FROM MIGRAD    STATUS=FAILED        468 CALLS         469 TOTAL
-                     EDM=1.25872e+08    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62214e+02   1.17532e-01  -0.00000e+00  -5.57867e+04
-   2  sg_p1        2.29537e+01   1.01617e-02   0.00000e+00  -1.48052e+04
-   3  sg_p2        1.18371e+00   1.47620e-02   0.00000e+00  -3.24026e+04
-   4  sg_p3        1.15581e+00   5.85135e-04   0.00000e+00  -2.25593e+04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.381e-02 -5.016e-04 -1.726e-03 -6.872e-05 
- -5.016e-04  1.033e-04  4.890e-05  2.365e-06 
- -1.726e-03  4.890e-05  2.179e-04  8.608e-06 
- -6.872e-05  2.365e-06  8.608e-06  3.424e-07 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99999   1.000 -0.420 -0.995 -0.999
-        2  0.99909  -0.420  1.000  0.326  0.398
-        3  0.99999  -0.995  0.326  1.000  0.997
-        4  0.99958  -0.999  0.398  0.997  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26110.6 FROM HESSE     STATUS=OK             31 CALLS         500 TOTAL
-                     EDM=4.07569e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62214e+02   6.72563e-04   6.72704e-05   4.19323e-01
-   2  sg_p1        2.29537e+01   5.51296e-04   2.53393e-04  -6.51238e-01
-   3  sg_p2        1.18371e+00   8.97773e-05   1.15823e-04  -5.54498e-01
-   4  sg_p3        1.15581e+00   1.57378e-04   1.66079e-04  -7.33896e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.523e-07 -1.618e-13  9.783e-15 -6.573e-13 
- -1.618e-13  3.039e-07  2.059e-14  7.746e-13 
-  9.783e-15  2.059e-14  8.060e-09  1.090e-14 
- -6.573e-13  7.746e-13  1.090e-14  2.477e-08 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00001   1.000 -0.000  0.000 -0.000
-        2  0.00001  -0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00001  -0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.214 +- 0.000672563
-22.9537 +- 0.000551296
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27208.5 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.71181e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.11815e+02
-   3  sg_p2        9.86241e-01   5.00000e-01   0.00000e+00   8.13644e+01
-   4  sg_p3        2.10880e+00   7.00000e-01  -4.08775e-01   8.43786e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM MIGRAD    STATUS=CONVERGED     251 CALLS         252 TOTAL
-                     EDM=2.19426e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62956e+02   4.19070e-01   1.45249e-03  -5.27598e-02
-   2  sg_p1        2.12954e+01   4.98544e-01   7.45088e-03   6.83394e-02
-   3  sg_p2        1.18806e+00   5.51337e-02   2.26922e-03  -3.48477e-02
-   4  sg_p3        1.02393e+00   4.08580e-02   1.04829e-03  -3.83312e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.756e-01 -5.320e-02  2.758e-03 -7.610e-03 
- -5.320e-02  2.497e-01  1.564e-02  1.606e-02 
-  2.758e-03  1.564e-02  3.040e-03  9.429e-04 
- -7.610e-03  1.606e-02  9.429e-04  1.670e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55737   1.000 -0.254  0.119 -0.444
-        2  0.82936  -0.254  1.000  0.568  0.787
-        3  0.63378   0.119  0.568  1.000  0.419
-        4  0.82799  -0.444  0.787  0.419  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM HESSE     STATUS=OK             23 CALLS         275 TOTAL
-                     EDM=2.19263e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62956e+02   4.19119e-01   5.80997e-05   4.46547e-01
-   2  sg_p1        2.12954e+01   4.95694e-01   2.98035e-04  -9.74247e-01
-   3  sg_p2        1.18806e+00   5.50237e-02   9.07687e-05  -5.52454e-01
-   4  sg_p3        1.02393e+00   4.06459e-02   2.09657e-04  -7.85881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.757e-01 -5.257e-02  2.838e-03 -7.560e-03 
- -5.257e-02  2.469e-01  1.543e-02  1.584e-02 
-  2.838e-03  1.543e-02  3.028e-03  9.269e-04 
- -7.560e-03  1.584e-02  9.269e-04  1.652e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55751   1.000 -0.252  0.123 -0.444
-        2  0.82718  -0.252  1.000  0.564  0.784
-        3  0.63189   0.123  0.564  1.000  0.414
-        4  0.82600  -0.444  0.784  0.414  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.956 +- 0.419119
-21.2954 +- 0.495694
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24938.9 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.47220e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.27544e+02
-   3  sg_p2        9.01698e-01   5.00000e-01   1.92174e-02  -8.96650e-02
-   4  sg_p3        1.90374e+00   7.00000e-01   0.00000e+00   2.84089e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM MIGRAD    STATUS=CONVERGED     280 CALLS         281 TOTAL
-                     EDM=9.56937e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62504e+02   4.01949e-01   1.47474e-03  -4.25141e-02
-   2  sg_p1        2.37637e+01   3.86910e-01   5.01010e-03  -4.75722e-02
-   3  sg_p2        1.45752e+00   7.51498e-02   3.25318e-03   8.87634e-02
-   4  sg_p3        1.20613e+00   3.95609e-02   1.25939e-03   3.14350e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.616e-01 -1.460e-02  5.296e-03 -4.757e-03 
- -1.460e-02  1.499e-01  1.026e-02  8.842e-03 
-  5.296e-03  1.026e-02  5.650e-03  5.555e-04 
- -4.757e-03  8.842e-03  5.555e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38149   1.000 -0.094  0.175 -0.299
-        2  0.62911  -0.094  1.000  0.352  0.577
-        3  0.41238   0.175  0.352  1.000  0.187
-        4  0.62872  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM HESSE     STATUS=OK             23 CALLS         304 TOTAL
-                     EDM=9.61039e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62504e+02   4.01306e-01   5.89896e-05   4.29922e-01
-   2  sg_p1        2.37637e+01   3.84472e-01   1.00202e-03  -5.21496e-01
-   3  sg_p2        1.45752e+00   7.37104e-02   1.30127e-04  -4.30134e-01
-   4  sg_p3        1.20613e+00   3.95531e-02   5.03756e-05  -7.14699e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.611e-01 -1.655e-02  4.777e-03 -4.865e-03 
- -1.655e-02  1.480e-01  9.452e-03  8.781e-03 
-  4.777e-03  9.452e-03  5.435e-03  5.216e-04 
- -4.865e-03  8.781e-03  5.216e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37788   1.000 -0.107  0.161 -0.306
-        2  0.62297  -0.107  1.000  0.333  0.577
-        3  0.39044   0.161  0.333  1.000  0.179
-        4  0.62853  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.504 +- 0.401306
-23.7637 +- 0.384472
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28920.4 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.80937e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.38006e+02
-   3  sg_p2        9.71765e-01   5.00000e-01   0.00000e+00   1.16073e+02
-   4  sg_p3        1.78443e+00   7.00000e-01  -5.12276e-01  -3.52605e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=3.69493e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62545e+02   3.73878e-01   1.47900e-03   5.87554e-02
-   2  sg_p1        2.37920e+01   3.60128e-01   5.01141e-03  -3.15083e-02
-   3  sg_p2        1.45371e+00   6.94889e-02   3.21558e-03   3.10664e-02
-   4  sg_p3        1.20626e+00   3.67580e-02   1.25830e-03   1.44527e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.398e-01 -1.256e-02  4.559e-03 -4.105e-03 
- -1.256e-02  1.298e-01  8.802e-03  7.648e-03 
-  4.559e-03  8.802e-03  4.830e-03  4.765e-04 
- -4.105e-03  7.648e-03  4.765e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38118   1.000 -0.093  0.175 -0.299
-        2  0.62894  -0.093  1.000  0.352  0.577
-        3  0.41146   0.175  0.352  1.000  0.187
-        4  0.62883  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM HESSE     STATUS=OK             23 CALLS         187 TOTAL
-                     EDM=3.68603e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62545e+02   3.73300e-01   5.91598e-05   4.31441e-01
-   2  sg_p1        2.37920e+01   3.58022e-01   1.00228e-03  -5.17141e-01
-   3  sg_p2        1.45371e+00   6.82924e-02   1.28623e-04  -4.31812e-01
-   4  sg_p3        1.20626e+00   3.67501e-02   5.03319e-05  -7.14653e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.394e-01 -1.405e-02  4.150e-03 -4.188e-03 
- -1.405e-02  1.283e-01  8.166e-03  7.599e-03 
-  4.150e-03  8.166e-03  4.665e-03  4.498e-04 
- -4.188e-03  7.599e-03  4.498e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37769   1.000 -0.105  0.163 -0.305
-        2  0.62325  -0.105  1.000  0.334  0.577
-        3  0.39121   0.163  0.334  1.000  0.179
-        4  0.62862  -0.305  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.545 +- 0.3733
-23.792 +- 0.358022
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 762.526 +- 0.386914 (stat) - 1.89298 + 1.86678 (syst); -1.90284/+1.87677 (total)
-   Uncertainty on sg_p1 = 23.7778 +- 0.370943 (stat) - 2.48235 + 0.0142669 (syst); -2.48927/+0.18602 (total)
-   Uncertainty on sg_p2 = 1.45537 +- 0.0709082 (stat) - 0.32505 + 0.00214348 (syst); -0.326977/+0.0355188 (total)
-   Uncertainty on sg_p3 = 1.20603 +- 0.0381052 (stat) - 0.182102 + 0.000222545 (syst); -0.183096/+0.0190539 (total)
-   === Baseline plot === </br>
-   norm = 206.504
-JEC     lnN   1.01674  -
-JER     lnN   1.01351  -
-btag    lnN   1.07417  -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
deleted file mode 100644
index 1a780da..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 5.89299e-11  -5.89299e-11/+3  (68% CL)
-nll S+B -> -0.000957615  nll B -> -0.000957503
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
deleted file mode 100644
index 9c4809a..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 8.165704:	q_mu = 3.83938	q_A  = 3.83295	CLsb = 0.02503	CLb  = 0.49934	CLs  = 0.05013
-
- -- Asymptotic -- 
-Observed Limit: r < 8.1657
-Expected  2.5%: r < 4.2534
-Expected 16.0%: r < 5.7474
-Expected 50.0%: r < 8.1562
-Expected 84.0%: r < 11.8300
-Expected 97.5%: r < 16.6438
-
-Done in 0.00 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
deleted file mode 100644
index 53a4d10..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_750.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.13008 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07417    -
-JER       lnN     1.01351   - 
-JEC       lnN     1.01674   -
-trigger   lnN     1.10    -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/signal750_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/signal750_sig.log
deleted file mode 100644
index e4e749b..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_750_novo_550_1200/signal750_sig.log
+++ /dev/null
@@ -1,1000 +0,0 @@
-
-Processing test.c...
-nSignal_init = 99200
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28581.6 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.97285e+02
-   2  sg_p1        3.25000e+01   2.50000e+00   0.00000e+00  -5.26336e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -1.34034e+00
-   4  sg_p3        8.83623e-01   7.00000e-01  -8.44345e-01  -8.85145e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28481.9 FROM HESSE     STATUS=OK             29 CALLS         226 TOTAL
-                     EDM=0.176135    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65606e-01   1.82652e-03   1.78201e-02
-   2  sg_p1        3.85553e+01   5.02370e-01   4.68920e-03  -1.33549e-02
-   3  sg_p2        2.98442e+00   1.00281e+00   5.00000e-01  -1.40904e+00
-   4  sg_p3        1.76206e+00   9.56239e-02   3.11054e-03   1.18363e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28481.9 FROM MIGRAD    STATUS=CONVERGED     237 CALLS         238 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.41076e+02   5.65607e-01   1.02030e-05  -2.48246e-04
-   2  sg_p1        3.85547e+01   5.02385e-01  -5.28821e-05  -6.46421e-04
-   3  sg_p2        3.57615e+00   9.22634e-01   2.50000e-01   0.00000e+00
-   4  sg_p3        1.76174e+00   9.56180e-02  -1.05757e-04  -3.32008e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.199e-01 -1.433e-02 -2.179e-05 -1.376e-02 
- -1.433e-02  2.526e-01  6.391e-05  2.295e-02 
- -2.179e-05  6.391e-05  9.034e-01  1.802e-05 
- -1.376e-02  2.295e-02  1.802e-05  9.146e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.26700   1.000 -0.050 -0.000 -0.254
-        2  0.48307  -0.050  1.000  0.000  0.477
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.53025  -0.254  0.477  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=28481.9 FROM HESSE     STATUS=FAILED          7 CALLS         245 TOTAL
-                     EDM=7.28057e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.41076e+02   5.45075e-01   1.82653e-03  -1.12350e-01
-   2  sg_p1        3.85547e+01   4.39914e-01   1.87568e-03   5.05653e-01
-   3  sg_p2        2.36258e+00   1.23330e+00   2.50000e-01   4.45003e-01
-   4  sg_p3        1.76174e+00   8.10352e-02  -1.05757e-04  -5.19731e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.971e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.936e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  1.703e+00  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  6.568e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-741.076 +- 0.545075
-38.5547 +- 0.439914
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28878.9 FROM MIGRAD    STATUS=INITIATE      112 CALLS         113 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00  -1.25454e+02
-   2  sg_p1        3.56130e+01   2.50000e+00   0.00000e+00   6.94117e+01
-   3  sg_p2        1.20743e+00   5.00000e-01  -5.43373e-01  -2.30464e+01
-   4  sg_p3        1.10042e+00   7.00000e-01   0.00000e+00  -5.72255e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             29 CALLS         423 TOTAL
-                     EDM=0.262248    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01   1.86583e-03  -3.18372e-03
-   2  sg_p1        3.93530e+01   5.09571e-01   5.09296e-03   1.74419e-02
-   3  sg_p2        2.25372e+00   5.17025e-01   3.03226e-01  -3.45943e+00
-   4  sg_p3        1.81743e+00   9.76205e-02   3.26395e-03  -1.13200e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=28834.9 FROM MIGRAD    STATUS=CONVERGED     436 CALLS         437 TOTAL
-                     EDM=1.01318e-08    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.44466e+02   5.73304e-01  -7.43401e-07  -1.39873e-04
-   2  sg_p1        3.93527e+01   5.09582e-01  -3.36925e-05  -1.24591e-03
-   3  sg_p2        2.63229e+00   5.18825e-01   1.51613e-01   0.00000e+00
-   4  sg_p3        1.81743e+00   9.76204e-02  -7.43797e-07  -3.30431e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.287e-01  8.912e-03 -6.933e-06 -1.113e-02 
-  8.912e-03  2.599e-01  3.934e-05  2.184e-02 
- -6.933e-06  3.934e-05  2.731e-01  9.253e-06 
- -1.113e-02  2.184e-02  9.253e-06  9.533e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23810   1.000  0.030 -0.000 -0.199
-        2  0.45486   0.030  1.000  0.000  0.439
-        3  0.00020  -0.000  0.000  1.000  0.000
-        4  0.48738  -0.199  0.439  0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28834.9 FROM HESSE     STATUS=OK             31 CALLS         468 TOTAL
-                     EDM=0.968431    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.44466e+02   5.73402e-01   7.46332e-04  -1.52619e-02
-   2  sg_p1        3.93527e+01   5.10469e-01   2.03719e-03   5.80225e-01
-   3  sg_p2        2.63229e+00   6.39685e-01   5.10000e-01   5.29399e-02
-   4  sg_p3        1.81743e+00   9.78361e-02   1.30558e-03  -5.01491e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.288e-01  8.226e-03  3.816e-12 -1.124e-02 
-  8.226e-03  2.608e-01  8.047e-12  2.210e-02 
-  3.816e-12  8.047e-12  4.185e-01 -1.617e-12 
- -1.124e-02  2.210e-02 -1.617e-12  9.575e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.23882   1.000  0.028  0.000 -0.200
-        2  0.45797   0.028  1.000  0.000  0.442
-        3  0.00000   0.000  0.000  1.000 -0.000
-        4  0.49076  -0.200  0.442 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-744.466 +- 0.573402
-39.3527 +- 0.510469
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [480,930] --> [480,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [480,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [580,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28016 FROM MIGRAD    STATUS=INITIATE       72 CALLS          73 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.45000e+02   7.00000e+00   0.00000e+00   3.75442e+02
-   2  sg_p1        3.34297e+01   2.50000e+00   7.44428e-02  -3.45085e+00
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -3.67110e-01
-   4  sg_p3        9.50531e-01   7.00000e-01   0.00000e+00  -4.25357e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.1257e+00  1.0000e+00  1.0212e+00  3.1045e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.128794 TO DIAGONAL.
- FCN=27907.7 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         189 TOTAL
-                     EDM=0.288891    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37485e+02   6.72582e+00   1.83947e-03   6.18860e+00
-   2  sg_p1        3.83510e+01   1.04522e+00   4.63621e-03   1.08179e+00
-   3  sg_p2        3.44126e+00   3.98936e+00   5.00000e-01  -6.55275e-02
-   4  sg_p3        1.83188e+00   4.34020e-01   3.32682e-03  -4.03275e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=27907.7 FROM MIGRAD    STATUS=FAILED        299 CALLS         300 TOTAL
-                     EDM=0.0114055    STRATEGY= 1      ERR MATRIX APPROXIMATE
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.37435e+02   5.50832e-01   1.82376e-03   7.13141e-01
-   2  sg_p1        3.83308e+01   4.54574e-01   4.46650e-03  -6.17184e-02
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01  -3.55749e-02
-   4  sg_p3        1.83269e+00   3.76328e-02   3.32811e-03  -3.75326e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.034e-01  1.043e-03  0.000e+00 -3.749e-03 
-  1.043e-03  2.068e-01  0.000e+00  5.570e-03 
-  0.000e+00  0.000e+00  3.813e+01  0.000e+00 
- -3.749e-03  5.570e-03  0.000e+00  1.416e-03 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.19272   1.000  0.004  0.000 -0.181
-        2  0.33174   0.004  1.000  0.000  0.325
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.37301  -0.181  0.325  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=27907.7 FROM HESSE     STATUS=OK             29 CALLS         329 TOTAL
-                     EDM=0.0259975    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.37435e+02   5.53707e-01   3.64751e-04  -2.17856e-01
-   2  sg_p1        3.83308e+01   4.70224e-01   1.78660e-04   4.85291e-01
-   3  sg_p2        3.40751e+00   3.90281e+00   5.00000e-01   3.71491e-01
-   4  sg_p3        1.83269e+00   1.03955e-01   8.87511e-02  -4.96528e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.066e-01 -6.417e-03  3.317e-09 -1.192e-02 
- -6.417e-03  2.212e-01 -1.340e-08  1.984e-02 
-  3.317e-09 -1.340e-08  3.813e+01 -1.310e-09 
- -1.192e-02  1.984e-02 -1.310e-09  1.081e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21706   1.000 -0.025  0.000 -0.207
-        2  0.41028  -0.025  1.000 -0.000  0.406
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.45113  -0.207  0.406 -0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-737.435 +- 0.553707
-38.3308 +- 0.470224
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26875.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.68092e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.28555e+02
-   3  sg_p2        9.73975e-01   5.00000e-01   0.00000e+00   1.06582e+02
-   4  sg_p3        1.78677e+00   7.00000e-01  -5.11511e-01  -3.22236e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM MIGRAD    STATUS=CONVERGED     164 CALLS         165 TOTAL
-                     EDM=2.25921e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62526e+02   3.87529e-01   1.47757e-03   1.66856e-01
-   2  sg_p1        2.37778e+01   3.73075e-01   5.01466e-03   1.71102e-02
-   3  sg_p2        1.45537e+00   7.21350e-02   3.19921e-03  -4.87398e-02
-   4  sg_p3        1.20603e+00   3.81131e-02   1.25918e-03  -2.52445e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.502e-01 -1.364e-02  4.886e-03 -4.422e-03 
- -1.364e-02  1.393e-01  9.457e-03  8.215e-03 
-  4.886e-03  9.457e-03  5.205e-03  5.123e-04 
- -4.422e-03  8.215e-03  5.123e-04  1.453e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38125   1.000 -0.094  0.175 -0.299
-        2  0.62877  -0.094  1.000  0.351  0.577
-        3  0.41098   0.175  0.351  1.000  0.186
-        4  0.62880  -0.299  0.577  0.186  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26474.3 FROM HESSE     STATUS=OK             23 CALLS         188 TOTAL
-                     EDM=2.25799e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62526e+02   3.86914e-01   2.95513e-04   4.30739e-01
-   2  sg_p1        2.37778e+01   3.70943e-01   2.00586e-04  -5.19330e-01
-   3  sg_p2        1.45537e+00   7.09082e-02   1.27968e-04  -4.31078e-01
-   4  sg_p3        1.20603e+00   3.81052e-02   2.51836e-04  -7.14737e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.497e-01 -1.520e-02  4.447e-03 -4.507e-03 
- -1.520e-02  1.377e-01  8.786e-03  8.163e-03 
-  4.447e-03  8.786e-03  5.030e-03  4.843e-04 
- -4.507e-03  8.163e-03  4.843e-04  1.452e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37767   1.000 -0.106  0.162 -0.306
-        2  0.62321  -0.106  1.000  0.334  0.577
-        3  0.39101   0.162  0.334  1.000  0.179
-        4  0.62860  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.526 +- 0.386914
-23.7778 +- 0.370943
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27294.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46095e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.72944e+02
-   3  sg_p2        7.03339e-01   5.00000e-01   0.00000e+00   4.74696e+01
-   4  sg_p3        1.99296e+00   7.00000e-01  -4.45137e-01   5.15362e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM MIGRAD    STATUS=CONVERGED     184 CALLS         185 TOTAL
-                     EDM=3.95104e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.64393e+02   4.66702e-01   1.57008e-03  -7.87347e-02
-   2  sg_p1        2.18741e+01   6.89309e-01   6.78283e-03   4.79306e-02
-   3  sg_p2        1.13032e+00   8.74630e-02   2.49913e-03  -1.65710e-02
-   4  sg_p3        1.03518e+00   4.60093e-02   1.05785e-03  -5.74757e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.178e-01  6.647e-02  1.847e-02 -1.062e-03 
-  6.647e-02  4.782e-01  4.788e-02  2.645e-02 
-  1.847e-02  4.788e-02  7.654e-03  2.499e-03 
- -1.062e-03  2.645e-02  2.499e-03  2.117e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62194   1.000  0.206  0.452 -0.049
-        2  0.90325   0.206  1.000  0.791  0.831
-        3  0.84679   0.452  0.791  1.000  0.621
-        4  0.86298  -0.049  0.831  0.621  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26829.4 FROM HESSE     STATUS=OK             23 CALLS         208 TOTAL
-                     EDM=3.92733e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.64393e+02   4.66923e-01   3.14016e-04   5.00390e-01
-   2  sg_p1        2.18741e+01   6.85574e-01   2.71313e-04  -8.48247e-01
-   3  sg_p2        1.13032e+00   8.71717e-02   9.99652e-05  -5.79816e-01
-   4  sg_p3        1.03518e+00   4.58105e-02   2.11569e-04  -7.81343e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.180e-01  6.562e-02  1.843e-02 -1.114e-03 
-  6.562e-02  4.730e-01  4.734e-02  2.614e-02 
-  1.843e-02  4.734e-02  7.603e-03  2.467e-03 
- -1.114e-03  2.614e-02  2.467e-03  2.099e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.62241   1.000  0.204  0.453 -0.052
-        2  0.90213   0.204  1.000  0.789  0.830
-        3  0.84567   0.453  0.789  1.000  0.617
-        4  0.86169  -0.052  0.830  0.617  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-764.393 +- 0.466923
-21.8741 +- 0.685574
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26264.2 FROM MIGRAD    STATUS=INITIATE       52 CALLS          53 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.46794e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.17400e+02
-   3  sg_p2        1.05302e+00   5.00000e-01   0.00000e+00   5.34210e+01
-   4  sg_p3        2.10879e+00   7.00000e-01  -4.08780e-01   9.24467e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM MIGRAD    STATUS=CONVERGED     173 CALLS         174 TOTAL
-                     EDM=5.02008e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.60633e+02   4.10250e-01   1.42251e-03   1.29588e-01
-   2  sg_p1        2.27934e+01   4.40097e-01   5.56534e-03  -9.52994e-03
-   3  sg_p2        1.26768e+00   7.07747e-02   2.70462e-03  -3.34938e-03
-   4  sg_p3        1.17410e+00   3.88711e-02   1.21241e-03  -3.97072e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.683e-01  2.199e-02  1.072e-02 -2.580e-03 
-  2.199e-02  1.941e-01  1.837e-02  1.084e-02 
-  1.072e-02  1.837e-02  5.011e-03  9.405e-04 
- -2.580e-03  1.084e-02  9.405e-04  1.511e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48460   1.000  0.122  0.369 -0.162
-        2  0.74869   0.122  1.000  0.589  0.633
-        3  0.66331   0.369  0.589  1.000  0.342
-        4  0.67935  -0.162  0.633  0.342  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=25933.1 FROM HESSE     STATUS=OK             23 CALLS         197 TOTAL
-                     EDM=5.03332e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.60633e+02   4.10594e-01   2.84502e-04   3.62318e-01
-   2  sg_p1        2.27934e+01   4.40772e-01   2.22614e-04  -6.78399e-01
-   3  sg_p2        1.26768e+00   7.09147e-02   1.08185e-04  -5.15453e-01
-   4  sg_p3        1.17410e+00   3.89135e-02   4.84963e-05  -7.26883e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.686e-01  2.210e-02  1.079e-02 -2.577e-03 
-  2.210e-02  1.946e-01  1.847e-02  1.088e-02 
-  1.079e-02  1.847e-02  5.031e-03  9.476e-04 
- -2.577e-03  1.088e-02  9.476e-04  1.514e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48592   1.000  0.122  0.371 -0.161
-        2  0.74959   0.122  1.000  0.590  0.634
-        3  0.66497   0.371  0.590  1.000  0.343
-        4  0.68021  -0.161  0.634  0.343  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-760.633 +- 0.410594
-22.7934 +- 0.440772
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26499.7 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.41562e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.39733e+02
-   3  sg_p2        8.25062e-01   5.00000e-01   0.00000e+00   1.45082e+01
-   4  sg_p3        2.10061e+00   7.00000e-01  -4.11326e-01   8.60481e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2210e+00  1.2206e+00  2.0001e+00  2.0003e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 1.223025 TO DIAGONAL.
- FCN=26111.1 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         181 TOTAL
-                     EDM=41.1386    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62134e+02   2.03776e-03   1.58217e-05   4.03447e+01
-   2  sg_p1        2.29588e+01   1.67018e-03   5.95918e-05   2.08825e+01
-   3  sg_p2        1.19457e+00   2.72680e-04   2.72376e-05   7.30730e+01
-   4  sg_p3        1.16508e+00   2.68104e-01   1.29100e-06   8.78813e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00425 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -4.5660e-01 -1.6788e-04  2.0585e-14  4.4568e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 0.461061 TO DIAGONAL.
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=26110.6 FROM MIGRAD    STATUS=FAILED        468 CALLS         469 TOTAL
-                     EDM=1.25872e+08    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62214e+02   1.17532e-01  -0.00000e+00  -5.57867e+04
-   2  sg_p1        2.29537e+01   1.01617e-02   0.00000e+00  -1.48052e+04
-   3  sg_p2        1.18371e+00   1.47620e-02   0.00000e+00  -3.24026e+04
-   4  sg_p3        1.15581e+00   5.85135e-04   0.00000e+00  -2.25593e+04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.381e-02 -5.016e-04 -1.726e-03 -6.872e-05 
- -5.016e-04  1.033e-04  4.890e-05  2.365e-06 
- -1.726e-03  4.890e-05  2.179e-04  8.608e-06 
- -6.872e-05  2.365e-06  8.608e-06  3.424e-07 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99999   1.000 -0.420 -0.995 -0.999
-        2  0.99909  -0.420  1.000  0.326  0.398
-        3  0.99999  -0.995  0.326  1.000  0.997
-        4  0.99958  -0.999  0.398  0.997  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26110.6 FROM HESSE     STATUS=OK             31 CALLS         500 TOTAL
-                     EDM=4.07569e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62214e+02   6.72563e-04   6.72704e-05   4.19323e-01
-   2  sg_p1        2.29537e+01   5.51296e-04   2.53393e-04  -6.51238e-01
-   3  sg_p2        1.18371e+00   8.97773e-05   1.15823e-04  -5.54498e-01
-   4  sg_p3        1.15581e+00   1.57378e-04   1.66079e-04  -7.33896e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.523e-07 -1.618e-13  9.783e-15 -6.573e-13 
- -1.618e-13  3.039e-07  2.059e-14  7.746e-13 
-  9.783e-15  2.059e-14  8.060e-09  1.090e-14 
- -6.573e-13  7.746e-13  1.090e-14  2.477e-08 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00001   1.000 -0.000  0.000 -0.000
-        2  0.00001  -0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00001  -0.000  0.000  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.214 +- 0.000672563
-22.9537 +- 0.000551296
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=27208.5 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.71181e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.11815e+02
-   3  sg_p2        9.86241e-01   5.00000e-01   0.00000e+00   8.13644e+01
-   4  sg_p3        2.10880e+00   7.00000e-01  -4.08775e-01   8.43786e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM MIGRAD    STATUS=CONVERGED     251 CALLS         252 TOTAL
-                     EDM=2.19426e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62956e+02   4.19070e-01   1.45249e-03  -5.27598e-02
-   2  sg_p1        2.12954e+01   4.98544e-01   7.45088e-03   6.83394e-02
-   3  sg_p2        1.18806e+00   5.51337e-02   2.26922e-03  -3.48477e-02
-   4  sg_p3        1.02393e+00   4.08580e-02   1.04829e-03  -3.83312e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.756e-01 -5.320e-02  2.758e-03 -7.610e-03 
- -5.320e-02  2.497e-01  1.564e-02  1.606e-02 
-  2.758e-03  1.564e-02  3.040e-03  9.429e-04 
- -7.610e-03  1.606e-02  9.429e-04  1.670e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55737   1.000 -0.254  0.119 -0.444
-        2  0.82936  -0.254  1.000  0.568  0.787
-        3  0.63378   0.119  0.568  1.000  0.419
-        4  0.82799  -0.444  0.787  0.419  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26768.5 FROM HESSE     STATUS=OK             23 CALLS         275 TOTAL
-                     EDM=2.19263e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62956e+02   4.19119e-01   5.80997e-05   4.46547e-01
-   2  sg_p1        2.12954e+01   4.95694e-01   2.98035e-04  -9.74247e-01
-   3  sg_p2        1.18806e+00   5.50237e-02   9.07687e-05  -5.52454e-01
-   4  sg_p3        1.02393e+00   4.06459e-02   2.09657e-04  -7.85881e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.757e-01 -5.257e-02  2.838e-03 -7.560e-03 
- -5.257e-02  2.469e-01  1.543e-02  1.584e-02 
-  2.838e-03  1.543e-02  3.028e-03  9.269e-04 
- -7.560e-03  1.584e-02  9.269e-04  1.652e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55751   1.000 -0.252  0.123 -0.444
-        2  0.82718  -0.252  1.000  0.564  0.784
-        3  0.63189   0.123  0.564  1.000  0.414
-        4  0.82600  -0.444  0.784  0.414  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.956 +- 0.419119
-21.2954 +- 0.495694
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=24938.9 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.47220e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.27544e+02
-   3  sg_p2        9.01698e-01   5.00000e-01   1.92174e-02  -8.96650e-02
-   4  sg_p3        1.90374e+00   7.00000e-01   0.00000e+00   2.84089e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM MIGRAD    STATUS=CONVERGED     280 CALLS         281 TOTAL
-                     EDM=9.56937e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62504e+02   4.01949e-01   1.47474e-03  -4.25141e-02
-   2  sg_p1        2.37637e+01   3.86910e-01   5.01010e-03  -4.75722e-02
-   3  sg_p2        1.45752e+00   7.51498e-02   3.25318e-03   8.87634e-02
-   4  sg_p3        1.20613e+00   3.95609e-02   1.25939e-03   3.14350e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.616e-01 -1.460e-02  5.296e-03 -4.757e-03 
- -1.460e-02  1.499e-01  1.026e-02  8.842e-03 
-  5.296e-03  1.026e-02  5.650e-03  5.555e-04 
- -4.757e-03  8.842e-03  5.555e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38149   1.000 -0.094  0.175 -0.299
-        2  0.62911  -0.094  1.000  0.352  0.577
-        3  0.41238   0.175  0.352  1.000  0.187
-        4  0.62872  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=24568.6 FROM HESSE     STATUS=OK             23 CALLS         304 TOTAL
-                     EDM=9.61039e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62504e+02   4.01306e-01   5.89896e-05   4.29922e-01
-   2  sg_p1        2.37637e+01   3.84472e-01   1.00202e-03  -5.21496e-01
-   3  sg_p2        1.45752e+00   7.37104e-02   1.30127e-04  -4.30134e-01
-   4  sg_p3        1.20613e+00   3.95531e-02   5.03756e-05  -7.14699e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.611e-01 -1.655e-02  4.777e-03 -4.865e-03 
- -1.655e-02  1.480e-01  9.452e-03  8.781e-03 
-  4.777e-03  9.452e-03  5.435e-03  5.216e-04 
- -4.865e-03  8.781e-03  5.216e-04  1.565e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37788   1.000 -0.107  0.161 -0.306
-        2  0.62297  -0.107  1.000  0.333  0.577
-        3  0.39044   0.161  0.333  1.000  0.179
-        4  0.62853  -0.306  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.504 +- 0.401306
-23.7637 +- 0.384472
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [520,930] --> [520,930]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [520,930]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [620,830]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28920.4 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.50000e+02   6.00000e+00   0.00000e+00  -1.80937e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00   1.38006e+02
-   3  sg_p2        9.71765e-01   5.00000e-01   0.00000e+00   1.16073e+02
-   4  sg_p3        1.78443e+00   7.00000e-01  -5.12276e-01  -3.52605e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM MIGRAD    STATUS=CONVERGED     163 CALLS         164 TOTAL
-                     EDM=3.69493e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.62545e+02   3.73878e-01   1.47900e-03   5.87554e-02
-   2  sg_p1        2.37920e+01   3.60128e-01   5.01141e-03  -3.15083e-02
-   3  sg_p2        1.45371e+00   6.94889e-02   3.21558e-03   3.10664e-02
-   4  sg_p3        1.20626e+00   3.67580e-02   1.25830e-03   1.44527e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.398e-01 -1.256e-02  4.559e-03 -4.105e-03 
- -1.256e-02  1.298e-01  8.802e-03  7.648e-03 
-  4.559e-03  8.802e-03  4.830e-03  4.765e-04 
- -4.105e-03  7.648e-03  4.765e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.38118   1.000 -0.093  0.175 -0.299
-        2  0.62894  -0.093  1.000  0.352  0.577
-        3  0.41146   0.175  0.352  1.000  0.187
-        4  0.62883  -0.299  0.577  0.187  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28488.2 FROM HESSE     STATUS=OK             23 CALLS         187 TOTAL
-                     EDM=3.68603e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.62545e+02   3.73300e-01   5.91598e-05   4.31441e-01
-   2  sg_p1        2.37920e+01   3.58022e-01   1.00228e-03  -5.17141e-01
-   3  sg_p2        1.45371e+00   6.82924e-02   1.28623e-04  -4.31812e-01
-   4  sg_p3        1.20626e+00   3.67501e-02   5.03319e-05  -7.14653e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.394e-01 -1.405e-02  4.150e-03 -4.188e-03 
- -1.405e-02  1.283e-01  8.166e-03  7.599e-03 
-  4.150e-03  8.166e-03  4.665e-03  4.498e-04 
- -4.188e-03  7.599e-03  4.498e-04  1.351e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.37769   1.000 -0.105  0.163 -0.305
-        2  0.62325  -0.105  1.000  0.334  0.577
-        3  0.39121   0.163  0.334  1.000  0.179
-        4  0.62862  -0.305  0.577  0.179  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-750
-762.545 +- 0.3733
-23.792 +- 0.358022
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 762.526 +- 0.386914 (stat) - 1.89298 + 1.86678 (syst); -1.90284/+1.87677 (total)
-   Uncertainty on sg_p1 = 23.7778 +- 0.370943 (stat) - 2.48235 + 0.0142669 (syst); -2.48927/+0.18602 (total)
-   Uncertainty on sg_p2 = 1.45537 +- 0.0709082 (stat) - 0.32505 + 0.00214348 (syst); -0.326977/+0.0355188 (total)
-   Uncertainty on sg_p3 = 1.20603 +- 0.0381052 (stat) - 0.182102 + 0.000222545 (syst); -0.183096/+0.0190539 (total)
-   === Baseline plot === </br>
-   norm = 206.504
-JEC     lnN   1.01674  -
-JER     lnN   1.01351  -
-btag    lnN   1.07417  -
-sg_p0   param   762.526 -1.90284/+1.87677
-sg_p1   param   23.7778 -2.48927/+0.18602
-sg_p2   param   1.45537  -0.326977/+0.0355188
-sg_p3   param   1.20603  -0.183096/+0.0190539
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
deleted file mode 100644
index 5659319..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,7 +0,0 @@
-Error in <ROOT::Math::FReal time 0:00:00, CP time 0.040
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 0.00604418  -0.00228552/+-0.00228512  (68% CL)
-nll S+B -> -1.49905e-05  nll B -> -1.04114e-05
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
deleted file mode 100644
index 6fef5ad..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 6.698102:	q_mu = 3.83228	q_A  = 3.83229	CLsb = 0.02514	CLb  = 0.50000	CLs  = 0.05027
-
- -- Asymptotic -- 
-Observed Limit: r < 6.6981
-Expected  2.5%: r < 3.4775
-Expected 16.0%: r < 4.7056
-Expected 50.0%: r < 6.7188
-Expected 84.0%: r < 9.7450
-Expected 97.5%: r < 13.7104
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt
deleted file mode 100644
index 39fa283..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.34388 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07603    -
-JER       lnN     1.01239   - 
-JEC       lnN     1.00978   -
-trigger   lnN     1.10    -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/signal800_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/signal800_sig.log
deleted file mode 100644
index 9bb688f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_crystal_1_550_1200/signal800_sig.log
+++ /dev/null
@@ -1,986 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30655.7 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -1.30426e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -1.66737e+02
-   3  sg_p2        2.94124e+00   5.00000e-01   0.00000e+00  -1.49475e-01
-   4  sg_p3        1.57852e+00   7.00000e-01  -5.81159e-01   2.58563e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM MIGRAD    STATUS=CONVERGED     151 CALLS         152 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   1.11551e-01
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   1.05806e-01
-   3  sg_p2        4.91276e+00   3.42658e+00  -3.03050e-03   0.00000e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -1.47920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM HESSE     STATUS=FAILED          7 CALLS         159 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   8.63427e-03
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   2.27549e-01
-   3  sg_p2        4.30353e+00   3.12197e+00  -3.03050e-03   1.30584e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -4.65886e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-790.259 +- 0.537023
-40.3199 +- 0.416552
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30957.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -4.59580e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -2.30328e+02
-   3  sg_p2        1.77977e+00   5.00000e-01   0.00000e+00   5.54337e-01
-   4  sg_p3        1.71207e+00   7.00000e-01  -5.36159e-01   1.57191e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02296 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.52673e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57072e-01   2.22239e-03   2.71391e-03
-   2  sg_p1        4.08795e+01   4.57494e-01   4.30357e-03   8.95731e-02
-   3  sg_p2        2.60706e+00   9.43716e-01   4.61396e-02  -1.14830e-02
-   4  sg_p3        1.95465e+00   1.29415e-01   4.57004e-03  -4.88228e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02637 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM MIGRAD    STATUS=CONVERGED     377 CALLS         378 TOTAL
-                     EDM=5.46872e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57319e-01   8.88956e-04  -1.24563e-04
-   2  sg_p1        4.08783e+01   4.58216e-01   1.72143e-03  -1.67615e-04
-   3  sg_p2        2.61137e+00   9.86696e-01   4.70300e-02  -5.75769e-03
-   4  sg_p3        1.95475e+00   1.29727e-01   1.82801e-03   4.70590e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.106e-01 -1.282e-02  1.973e-11 -1.514e-02 
- -1.282e-02  2.101e-01 -3.231e-10  2.168e-02 
-  1.973e-11 -3.231e-10  1.029e+00 -3.334e-11 
- -1.514e-02  2.168e-02 -3.334e-11  1.684e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21127   1.000 -0.050  0.000 -0.209
-        2  0.36542  -0.050  1.000 -0.000  0.364
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.41162  -0.209  0.364 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             29 CALLS         407 TOTAL
-                     EDM=1.45739e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.93825e+02   5.57488e-01   3.55582e-05   1.27840e-01
-   2  sg_p1        4.08783e+01   4.58705e-01   6.88571e-05   2.73664e-01
-   3  sg_p2        2.61137e+00   3.15165e-01   3.77936e-01   4.45612e-02
-   4  sg_p3        1.95475e+00   1.29897e-01   7.31206e-05  -4.57269e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.108e-01 -1.327e-02  9.363e-11 -1.527e-02 
- -1.327e-02  2.105e-01 -6.593e-11  2.188e-02 
-  9.363e-11 -6.593e-11  9.986e-02  1.258e-11 
- -1.527e-02  2.188e-02  1.258e-11  1.688e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21263   1.000 -0.052  0.000 -0.211
-        2  0.36794  -0.052  1.000 -0.000  0.367
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.41424  -0.211  0.367  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-793.825 +- 0.557488
-40.8783 +- 0.458705
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30291.5 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00   1.95885e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -7.27088e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -9.73752e-02
-   4  sg_p3        1.38901e+00   7.00000e-01  -6.47432e-01   2.33654e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=8.78757e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.86674e+02   5.58720e-01   2.15921e-03  -1.99988e-01
-   2  sg_p1        4.00594e+01   4.59169e-01   4.05661e-03   3.84165e-02
-   3  sg_p2        2.51479e+00   3.25925e-01   2.03755e-02   4.90232e-02
-   4  sg_p3        1.92655e+00   1.49829e-01   4.93143e-03   8.21834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.122e-01 -3.425e-02  1.692e-03 -2.360e-02 
- -3.425e-02  2.109e-01  3.630e-03  2.988e-02 
-  1.692e-03  3.630e-03  1.068e-01  4.290e-04 
- -2.360e-02  2.988e-02  4.290e-04  2.247e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28235   1.000 -0.133  0.009 -0.282
-        2  0.43476  -0.133  1.000  0.024  0.434
-        3  0.02730   0.009  0.024  1.000  0.009
-        4  0.48938  -0.282  0.434  0.009  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM HESSE     STATUS=OK             33 CALLS         196 TOTAL
-                     EDM=6.62467e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.86674e+02   5.59678e-01   4.31843e-04  -1.11107e-01
-   2  sg_p1        4.00594e+01   4.61116e-01   1.62264e-04   2.06214e-01
-   3  sg_p2        2.51479e+00   2.22927e-01   4.53587e-01   5.91504e-03
-   4  sg_p3        1.92655e+00   1.50658e-01   1.97257e-04  -4.66270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.133e-01 -3.601e-02  1.955e-04 -2.426e-02 
- -3.601e-02  2.127e-01  4.139e-04  3.075e-02 
-  1.955e-04  4.139e-04  4.983e-02  4.614e-05 
- -2.426e-02  3.075e-02  4.614e-05  2.272e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28788   1.000 -0.140  0.002 -0.288
-        2  0.44255  -0.140  1.000  0.004  0.442
-        3  0.00456   0.002  0.004  1.000  0.001
-        4  0.49768  -0.288  0.442  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-786.674 +- 0.559678
-40.0594 +- 0.461116
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29080.5 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.86811e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.59388e+01
-   3  sg_p2        1.11453e+00   5.00000e-01   0.00000e+00   1.02248e+02
-   4  sg_p3        1.01032e+00   7.00000e-01  -7.91400e-01  -4.01707e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=2.80961e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14374e+02   3.98724e-01   1.45304e-03  -1.70387e-01
-   2  sg_p1        2.58336e+01   3.59782e-01   4.89449e-03   8.13003e-02
-   3  sg_p2        1.67359e+00   7.19571e-02   3.19487e-03   5.88230e-02
-   4  sg_p3        1.19124e+00   3.46142e-02   1.23219e-03  -4.28854e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.590e-01 -2.453e-02  3.541e-03 -4.624e-03 
- -2.453e-02  1.296e-01  1.051e-02  6.871e-03 
-  3.541e-03  1.051e-02  5.179e-03  5.110e-04 
- -4.624e-03  6.871e-03  5.110e-04  1.198e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39250   1.000 -0.171  0.123 -0.335
-        2  0.62921  -0.171  1.000  0.406  0.551
-        3  0.45197   0.123  0.406  1.000  0.205
-        4  0.60406  -0.335  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM HESSE     STATUS=OK             23 CALLS         232 TOTAL
-                     EDM=2.80811e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14374e+02   3.98978e-01   2.90608e-04   1.46314e-01
-   2  sg_p1        2.58336e+01   3.61130e-01   1.95780e-04   4.60594e-01
-   3  sg_p2        1.67359e+00   7.21418e-02   1.27795e-04  -3.36900e-01
-   4  sg_p3        1.19124e+00   3.46971e-02   2.46437e-04  -7.20348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.592e-01 -2.477e-02  3.557e-03 -4.644e-03 
- -2.477e-02  1.305e-01  1.069e-02  6.950e-03 
-  3.557e-03  1.069e-02  5.206e-03  5.225e-04 
- -4.644e-03  6.950e-03  5.225e-04  1.204e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39387   1.000 -0.172  0.124 -0.335
-        2  0.63278  -0.172  1.000  0.410  0.554
-        3  0.45643   0.124  0.410  1.000  0.209
-        4  0.60656  -0.335  0.554  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.374 +- 0.398978
-25.8336 +- 0.36113
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29394.8 FROM MIGRAD    STATUS=INITIATE       76 CALLS          77 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.09344e+02   6.00000e+00   0.00000e+00  -9.04905e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.79169e+02
-   3  sg_p2        1.02066e+00   5.00000e-01   0.00000e+00   2.33092e+02
-   4  sg_p3        1.24736e+00   7.00000e-01  -6.99207e-01   3.18929e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM MIGRAD    STATUS=CONVERGED     227 CALLS         228 TOTAL
-                     EDM=6.02107e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.15934e+02   4.09344e-01   1.49430e-03  -1.08719e-01
-   2  sg_p1        2.62317e+01   4.03039e-01   5.19030e-03   1.33417e-01
-   3  sg_p2        1.65790e+00   9.28346e-02   3.66697e-03   4.58391e-02
-   4  sg_p3        1.21792e+00   3.62585e-02   1.27250e-03  -4.88031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.676e-01 -5.450e-03  9.103e-03 -3.808e-03 
- -5.450e-03  1.626e-01  2.111e-02  8.287e-03 
-  9.103e-03  2.111e-02  8.623e-03  9.650e-04 
- -3.808e-03  8.287e-03  9.650e-04  1.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41684   1.000 -0.033  0.239 -0.257
-        2  0.70520  -0.033  1.000  0.564  0.567
-        3  0.62110   0.239  0.564  1.000  0.287
-        4  0.61571  -0.257  0.567  0.287  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM HESSE     STATUS=OK             23 CALLS         251 TOTAL
-                     EDM=6.06559e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.15934e+02   4.09665e-01   2.98861e-04   1.99109e-01
-   2  sg_p1        2.62317e+01   4.05359e-01   1.03806e-03   5.20781e-01
-   3  sg_p2        1.65790e+00   9.33088e-02   1.46679e-04  -3.43559e-01
-   4  sg_p3        1.21792e+00   3.63707e-02   2.54500e-04  -7.10248e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.678e-01 -5.327e-03  9.198e-03 -3.807e-03 
- -5.327e-03  1.645e-01  2.154e-02  8.414e-03 
-  9.198e-03  2.154e-02  8.711e-03  9.903e-04 
- -3.807e-03  8.414e-03  9.903e-04  1.323e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41838   1.000 -0.032  0.241 -0.256
-        2  0.70926  -0.032  1.000  0.569  0.570
-        3  0.62607   0.241  0.569  1.000  0.292
-        4  0.61881  -0.256  0.570  0.292  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-815.934 +- 0.409665
-26.2317 +- 0.405359
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28612.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -3.00114e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.67115e+02
-   3  sg_p2        1.20214e+00   5.00000e-01   0.00000e+00   4.55233e+01
-   4  sg_p3        1.18762e+00   7.00000e-01  -7.21725e-01   3.91659e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.9336e-01  9.8220e-01  1.9260e+00  1.9851e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.895346 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         216 TOTAL
-                     EDM=0.158425    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12468e+02   1.41859e+00   1.44554e-03   6.97099e+00
-   2  sg_p1        2.52532e+01   1.08302e+00   4.75756e-03  -1.78654e+00
-   3  sg_p2        1.59901e+00   3.19025e-01   4.11832e-03  -4.02743e+00
-   4  sg_p3        1.18510e+00   2.53698e-02   1.13700e-04   9.82264e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00001 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=28570.4 FROM MIGRAD    STATUS=FAILED        279 CALLS         280 TOTAL
-                     EDM=10.5145    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12542e+02   1.94194e+01  -0.00000e+00   1.21944e+01
-   2  sg_p1        2.53088e+01   4.51787e+00  -0.00000e+00   3.98569e-01
-   3  sg_p2        1.61558e+00   1.51911e+00   0.00000e+00  -5.79777e+00
-   4  sg_p3        1.18237e+00   1.70381e+00  -0.00000e+00   1.97176e+02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.468e+02  5.233e-03  1.508e-03  6.862e-04 
-  5.233e-03  2.418e+01 -1.914e-04  5.328e-04 
-  1.508e-03 -1.914e-04  2.734e+00  1.653e-04 
-  6.862e-04  5.328e-04  1.653e-04  3.439e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00007   1.000  0.000  0.000  0.000
-        2  0.00008   0.000  1.000 -0.000  0.000
-        3  0.00007   0.000 -0.000  1.000  0.000
-        4  0.00008   0.000  0.000  0.000  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2546e+02 -1.0036e+01  1.2036e+01  1.2746e+02
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 125.585418 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         305 TOTAL
-                     EDM=0.206098    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.12542e+02   3.32392e-02   4.24522e-04   8.48346e-02
-   2  sg_p1        2.53088e+01   5.64200e-01   1.39644e-03   3.83861e-01
-   3  sg_p2        1.61558e+00   1.70424e-01   1.23980e-03  -3.61595e-01
-   4  sg_p3        1.18237e+00   2.19991e-04   3.58849e-04  -7.23724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.105e-03 -1.843e-03  5.571e-04  6.264e-07 
- -1.843e-03  3.190e-01 -9.625e-02  1.380e-06 
-  5.571e-04 -9.625e-02  2.910e-02 -4.175e-07 
-  6.264e-07  1.380e-06 -4.175e-07  4.840e-08 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.13108   1.000 -0.098  0.098  0.086
-        2  0.99899  -0.098  1.000 -0.999  0.011
-        3  0.99899   0.098 -0.999  1.000 -0.011
-        4  0.08788   0.086  0.011 -0.011  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-812.542 +- 0.0332392
-25.3088 +- 0.5642
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28766.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -7.66248e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -9.03266e+01
-   3  sg_p2        1.08494e+00   5.00000e-01   0.00000e+00   1.09698e+02
-   4  sg_p3        1.05971e+00   7.00000e-01  -7.71521e-01  -1.09172e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=5.14966e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14565e+02   4.05653e-01   1.46940e-03   3.96359e-01
-   2  sg_p1        2.60283e+01   3.68198e-01   5.02230e-03   5.50486e-02
-   3  sg_p2        1.66109e+00   7.22853e-02   3.19557e-03   8.70441e-02
-   4  sg_p3        1.18488e+00   3.46494e-02   1.22798e-03  -1.02684e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.646e-01 -2.497e-02  3.759e-03 -4.697e-03 
- -2.497e-02  1.357e-01  1.103e-02  7.081e-03 
-  3.759e-03  1.103e-02  5.227e-03  5.271e-04 
- -4.697e-03  7.081e-03  5.271e-04  1.201e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39503   1.000 -0.167  0.128 -0.334
-        2  0.63439  -0.167  1.000  0.414  0.555
-        3  0.46146   0.128  0.414  1.000  0.210
-        4  0.60729  -0.334  0.555  0.210  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=5.16859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14565e+02   4.05931e-01   2.93880e-04   1.52758e-01
-   2  sg_p1        2.60283e+01   3.69660e-01   2.00892e-04   4.89788e-01
-   3  sg_p2        1.66109e+00   7.24828e-02   1.27823e-04  -3.42202e-01
-   4  sg_p3        1.18488e+00   3.47387e-02   4.91192e-05  -7.22769e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.648e-01 -2.523e-02  3.775e-03 -4.720e-03 
- -2.523e-02  1.368e-01  1.122e-02  7.167e-03 
-  3.775e-03  1.122e-02  5.255e-03  5.394e-04 
- -4.720e-03  7.167e-03  5.394e-04  1.207e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39649   1.000 -0.168  0.128 -0.335
-        2  0.63810  -0.168  1.000  0.419  0.558
-        3  0.46606   0.128  0.419  1.000  0.214
-        4  0.60995  -0.335  0.558  0.214  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.565 +- 0.405931
-26.0283 +- 0.36966
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29348.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -6.36592e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.83918e+02
-   3  sg_p2        1.15597e+00   5.00000e-01   0.00000e+00   8.24903e+01
-   4  sg_p3        1.21818e+00   7.00000e-01  -7.10151e-01   3.68287e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.20841e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14234e+02   3.90817e-01   1.43143e-03  -2.25892e-01
-   2  sg_p1        2.55644e+01   3.48997e-01   4.72433e-03   4.76414e-02
-   3  sg_p2        1.70026e+00   7.24860e-02   3.26136e-03  -2.01102e-02
-   4  sg_p3        1.19325e+00   3.43060e-02   1.23128e-03  -1.60765e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.527e-01 -2.472e-02  3.207e-03 -4.545e-03 
- -2.472e-02  1.219e-01  9.868e-03  6.557e-03 
-  3.207e-03  9.868e-03  5.256e-03  4.874e-04 
- -4.545e-03  6.557e-03  4.874e-04  1.177e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39017   1.000 -0.181  0.113 -0.339
-        2  0.62081  -0.181  1.000  0.390  0.547
-        3  0.43378   0.113  0.390  1.000  0.196
-        4  0.60004  -0.339  0.547  0.196  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=1.20945e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14234e+02   3.91082e-01   2.86287e-04   1.41589e-01
-   2  sg_p1        2.55644e+01   3.50246e-01   1.88973e-04   4.20910e-01
-   3  sg_p2        1.70026e+00   7.26609e-02   1.30454e-04  -3.25619e-01
-   4  sg_p3        1.19325e+00   3.43857e-02   4.92513e-05  -7.19583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.530e-01 -2.496e-02  3.222e-03 -4.567e-03 
- -2.496e-02  1.228e-01  1.004e-02  6.630e-03 
-  3.222e-03  1.004e-02  5.281e-03  4.983e-04 
- -4.567e-03  6.630e-03  4.983e-04  1.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39164   1.000 -0.182  0.113 -0.340
-        2  0.62433  -0.182  1.000  0.394  0.550
-        3  0.43823   0.113  0.394  1.000  0.199
-        4  0.60250  -0.340  0.550  0.199  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.234 +- 0.391082
-25.5644 +- 0.350246
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26933.9 FROM MIGRAD    STATUS=INITIATE       65 CALLS          66 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.02085e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -6.48182e+01
-   3  sg_p2        1.12090e+00   5.00000e-01   0.00000e+00   8.31490e+01
-   4  sg_p3        1.00741e+00   7.00000e-01  -7.92584e-01  -3.93256e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM MIGRAD    STATUS=CONVERGED     255 CALLS         256 TOTAL
-                     EDM=5.05705e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14343e+02   4.13939e-01   1.45196e-03  -9.37591e-03
-   2  sg_p1        2.58276e+01   3.73340e-01   4.89042e-03   1.50340e-02
-   3  sg_p2        1.67484e+00   7.48885e-02   3.20560e-03  -1.09220e-03
-   4  sg_p3        1.19229e+00   3.59871e-02   1.23468e-03  -4.69920e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.714e-01 -2.629e-02  3.837e-03 -4.978e-03 
- -2.629e-02  1.395e-01  1.135e-02  7.403e-03 
-  3.837e-03  1.135e-02  5.610e-03  5.519e-04 
- -4.978e-03  7.403e-03  5.519e-04  1.295e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39181   1.000 -0.170  0.124 -0.334
-        2  0.62863  -0.170  1.000  0.406  0.551
-        3  0.45181   0.124  0.406  1.000  0.205
-        4  0.60326  -0.334  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM HESSE     STATUS=OK             23 CALLS         279 TOTAL
-                     EDM=5.06656e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14343e+02   4.14229e-01   5.80783e-05   1.45269e-01
-   2  sg_p1        2.58276e+01   3.74765e-01   1.95617e-04   4.59703e-01
-   3  sg_p2        1.67484e+00   7.50817e-02   1.28224e-04  -3.36369e-01
-   4  sg_p3        1.19229e+00   3.60762e-02   4.93874e-05  -7.19948e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.716e-01 -2.658e-02  3.854e-03 -5.003e-03 
- -2.658e-02  1.406e-01  1.154e-02  7.491e-03 
-  3.854e-03  1.154e-02  5.639e-03  5.644e-04 
- -5.003e-03  7.491e-03  5.644e-04  1.302e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39332   1.000 -0.171  0.124 -0.335
-        2  0.63227  -0.171  1.000  0.410  0.554
-        3  0.45629   0.124  0.410  1.000  0.208
-        4  0.60585  -0.335  0.554  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.343 +- 0.414229
-25.8276 +- 0.374765
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31351.8 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -9.46989e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.83441e+01
-   3  sg_p2        1.10816e+00   5.00000e-01   0.00000e+00   1.09432e+02
-   4  sg_p3        1.01312e+00   7.00000e-01  -7.90261e-01  -4.08568e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM MIGRAD    STATUS=CONVERGED     190 CALLS         191 TOTAL
-                     EDM=0.000282451    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14404e+02   3.84308e-01   1.45349e-03  -2.57491e-01
-   2  sg_p1        2.58356e+01   3.46779e-01   4.90055e-03  -2.87296e-01
-   3  sg_p2        1.67287e+00   6.92592e-02   3.19853e-03   5.88350e-01
-   4  sg_p3        1.19029e+00   3.33252e-02   1.23266e-03   1.10421e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.477e-01 -2.290e-02  3.276e-03 -4.302e-03 
- -2.290e-02  1.204e-01  9.759e-03  6.385e-03 
-  3.276e-03  9.759e-03  4.798e-03  4.745e-04 
- -4.302e-03  6.385e-03  4.745e-04  1.111e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39330   1.000 -0.172  0.123 -0.336
-        2  0.62986  -0.172  1.000  0.406  0.552
-        3  0.45226   0.123  0.406  1.000  0.206
-        4  0.60490  -0.336  0.552  0.206  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM HESSE     STATUS=OK             23 CALLS         214 TOTAL
-                     EDM=0.000282194    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14404e+02   3.84550e-01   2.90698e-04   1.47348e-01
-   2  sg_p1        2.58356e+01   3.47902e-01   9.80110e-04   4.60888e-01
-   3  sg_p2        1.67287e+00   6.94090e-02   6.39706e-04  -3.37208e-01
-   4  sg_p3        1.19029e+00   3.33968e-02   4.93065e-05  -7.20709e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.479e-01 -2.313e-02  3.287e-03 -4.322e-03 
- -2.313e-02  1.211e-01  9.898e-03  6.450e-03 
-  3.287e-03  9.898e-03  4.819e-03  4.836e-04 
- -4.322e-03  6.450e-03  4.836e-04  1.115e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39464   1.000 -0.173  0.123 -0.336
-        2  0.63294  -0.173  1.000  0.410  0.555
-        3  0.45602   0.123  0.410  1.000  0.209
-        4  0.60714  -0.336  0.555  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.404 +- 0.38455
-25.8356 +- 0.347902
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 814.374 +- 0.398978 (stat) - 1.83178 + 1.56012 (syst); -1.84261/+1.57282 (total)
-   Uncertainty on sg_p1 = 25.8336 +- 0.36113 (stat) - 0.524827 + 0.398085 (syst); -0.55502/+0.437122 (total)
-   Uncertainty on sg_p2 = 1.67359 +- 0.0721418 (stat) - 0.0580086 + 0.0266696 (syst); -0.0683089/+0.0448595 (total)
-   Uncertainty on sg_p3 = 1.19124 +- 0.0346971 (stat) - 0.00886586 + 0.0266863 (syst); -0.0194827/+0.0318297 (total)
-   === Baseline plot === </br>
-   norm = 217.194
-JEC     lnN   1.00978  -
-JER     lnN   1.01239  -
-btag    lnN   1.07603  -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
deleted file mode 100644
index f9af82f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 3.01958e-05  -3.01958e-05/+2.99997  (68% CL)
-nll S+B -> -0.00095757  nll B -> -0.000957607
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
deleted file mode 100644
index e142261..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 7.067627:	q_mu = 3.85140	q_A  = 3.84736	CLsb = 0.02485	CLb  = 0.49959	CLs  = 0.04975
-
- -- Asymptotic -- 
-Observed Limit: r < 7.0676
-Expected  2.5%: r < 3.6554
-Expected 16.0%: r < 4.9464
-Expected 50.0%: r < 7.0625
-Expected 84.0%: r < 10.2436
-Expected 97.5%: r < 14.4119
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/data_bkg.log
deleted file mode 100644
index 9081393..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
deleted file mode 100644
index 60a26ed..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_800.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.34388 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.07603    -
-JER       lnN     1.01239   - 
-JEC       lnN     1.00978   -
-trigger   lnN     1.10    -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/signal800_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/signal800_sig.log
deleted file mode 100644
index 9bb688f..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_800_novo_550_1200/signal800_sig.log
+++ /dev/null
@@ -1,986 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30655.7 FROM MIGRAD    STATUS=INITIATE       50 CALLS          51 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -1.30426e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -1.66737e+02
-   3  sg_p2        2.94124e+00   5.00000e-01   0.00000e+00  -1.49475e-01
-   4  sg_p3        1.57852e+00   7.00000e-01  -5.81159e-01   2.58563e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM MIGRAD    STATUS=CONVERGED     151 CALLS         152 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   1.11551e-01
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   1.05806e-01
-   3  sg_p2        4.91276e+00   3.42658e+00  -3.03050e-03   0.00000e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -1.47920e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative zero for parameter3
-  MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. 
- FCN=30638 FROM HESSE     STATUS=FAILED          7 CALLS         159 TOTAL
-                     EDM=3.50906e-05    STRATEGY= 1  ERROR MATRIX UNCERTAINTY 100.0 per cent
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.90259e+02   5.37023e-01   2.16671e-03   8.63427e-03
-   2  sg_p1        4.03199e+01   4.16552e-01   4.14293e-03   2.27549e-01
-   3  sg_p2        4.30353e+00   3.12197e+00  -3.03050e-03   1.30584e+00
-   4  sg_p3        1.92775e+00   1.16850e-01  -5.45644e-04  -4.65886e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.884e-01  0.000e+00  0.000e+00  0.000e+00 
-  0.000e+00  1.736e-01  0.000e+00  0.000e+00 
-  0.000e+00  0.000e+00  5.000e-01  0.000e+00 
-  0.000e+00  0.000e+00  0.000e+00  1.366e-02 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00000   1.000  0.000  0.000  0.000
-        2  0.00000   0.000  1.000  0.000  0.000
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.00000   0.000  0.000  0.000  1.000
- ERR MATRIX APPROXIMATE
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-790.259 +- 0.537023
-40.3199 +- 0.416552
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30957.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00  -4.59580e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -2.30328e+02
-   3  sg_p2        1.77977e+00   5.00000e-01   0.00000e+00   5.54337e-01
-   4  sg_p3        1.71207e+00   7.00000e-01  -5.36159e-01   1.57191e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02296 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             31 CALLS         326 TOTAL
-                     EDM=1.52673e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57072e-01   2.22239e-03   2.71391e-03
-   2  sg_p1        4.08795e+01   4.57494e-01   4.30357e-03   8.95731e-02
-   3  sg_p2        2.60706e+00   9.43716e-01   4.61396e-02  -1.14830e-02
-   4  sg_p3        1.95465e+00   1.29415e-01   4.57004e-03  -4.88228e-02
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.02637 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM MIGRAD    STATUS=CONVERGED     377 CALLS         378 TOTAL
-                     EDM=5.46872e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.93825e+02   5.57319e-01   8.88956e-04  -1.24563e-04
-   2  sg_p1        4.08783e+01   4.58216e-01   1.72143e-03  -1.67615e-04
-   3  sg_p2        2.61137e+00   9.86696e-01   4.70300e-02  -5.75769e-03
-   4  sg_p3        1.95475e+00   1.29727e-01   1.82801e-03   4.70590e-04
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.106e-01 -1.282e-02  1.973e-11 -1.514e-02 
- -1.282e-02  2.101e-01 -3.231e-10  2.168e-02 
-  1.973e-11 -3.231e-10  1.029e+00 -3.334e-11 
- -1.514e-02  2.168e-02 -3.334e-11  1.684e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21127   1.000 -0.050  0.000 -0.209
-        2  0.36542  -0.050  1.000 -0.000  0.364
-        3  0.00000   0.000 -0.000  1.000 -0.000
-        4  0.41162  -0.209  0.364 -0.000  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30898 FROM HESSE     STATUS=OK             29 CALLS         407 TOTAL
-                     EDM=1.45739e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.93825e+02   5.57488e-01   3.55582e-05   1.27840e-01
-   2  sg_p1        4.08783e+01   4.58705e-01   6.88571e-05   2.73664e-01
-   3  sg_p2        2.61137e+00   3.15165e-01   3.77936e-01   4.45612e-02
-   4  sg_p3        1.95475e+00   1.29897e-01   7.31206e-05  -4.57269e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.108e-01 -1.327e-02  9.363e-11 -1.527e-02 
- -1.327e-02  2.105e-01 -6.593e-11  2.188e-02 
-  9.363e-11 -6.593e-11  9.986e-02  1.258e-11 
- -1.527e-02  2.188e-02  1.258e-11  1.688e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21263   1.000 -0.052  0.000 -0.211
-        2  0.36794  -0.052  1.000 -0.000  0.367
-        3  0.00000   0.000 -0.000  1.000  0.000
-        4  0.41424  -0.211  0.367  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-793.825 +- 0.557488
-40.8783 +- 0.458705
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1000] --> [550,1000]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1000]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,900]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=30291.5 FROM MIGRAD    STATUS=INITIATE       41 CALLS          42 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.90000e+02   6.00000e+00   0.00000e+00   1.95885e+02
-   2  sg_p1        3.75000e+01   2.50000e+00   0.00000e+00  -7.27088e+01
-   3  sg_p2        2.50000e+00   5.00000e-01   0.00000e+00  -9.73752e-02
-   4  sg_p3        1.38901e+00   7.00000e-01  -6.47432e-01   2.33654e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM MIGRAD    STATUS=CONVERGED     162 CALLS         163 TOTAL
-                     EDM=8.78757e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        7.86674e+02   5.58720e-01   2.15921e-03  -1.99988e-01
-   2  sg_p1        4.00594e+01   4.59169e-01   4.05661e-03   3.84165e-02
-   3  sg_p2        2.51479e+00   3.25925e-01   2.03755e-02   4.90232e-02
-   4  sg_p3        1.92655e+00   1.49829e-01   4.93143e-03   8.21834e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.122e-01 -3.425e-02  1.692e-03 -2.360e-02 
- -3.425e-02  2.109e-01  3.630e-03  2.988e-02 
-  1.692e-03  3.630e-03  1.068e-01  4.290e-04 
- -2.360e-02  2.988e-02  4.290e-04  2.247e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28235   1.000 -0.133  0.009 -0.282
-        2  0.43476  -0.133  1.000  0.024  0.434
-        3  0.02730   0.009  0.024  1.000  0.009
-        4  0.48938  -0.282  0.434  0.009  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=30270.6 FROM HESSE     STATUS=OK             33 CALLS         196 TOTAL
-                     EDM=6.62467e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        7.86674e+02   5.59678e-01   4.31843e-04  -1.11107e-01
-   2  sg_p1        4.00594e+01   4.61116e-01   1.62264e-04   2.06214e-01
-   3  sg_p2        2.51479e+00   2.22927e-01   4.53587e-01   5.91504e-03
-   4  sg_p3        1.92655e+00   1.50658e-01   1.97257e-04  -4.66270e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.133e-01 -3.601e-02  1.955e-04 -2.426e-02 
- -3.601e-02  2.127e-01  4.139e-04  3.075e-02 
-  1.955e-04  4.139e-04  4.983e-02  4.614e-05 
- -2.426e-02  3.075e-02  4.614e-05  2.272e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.28788   1.000 -0.140  0.002 -0.288
-        2  0.44255  -0.140  1.000  0.004  0.442
-        3  0.00456   0.002  0.004  1.000  0.001
-        4  0.49768  -0.288  0.442  0.001  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-786.674 +- 0.559678
-40.0594 +- 0.461116
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29080.5 FROM MIGRAD    STATUS=INITIATE       63 CALLS          64 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.86811e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.59388e+01
-   3  sg_p2        1.11453e+00   5.00000e-01   0.00000e+00   1.02248e+02
-   4  sg_p3        1.01032e+00   7.00000e-01  -7.91400e-01  -4.01707e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM MIGRAD    STATUS=CONVERGED     208 CALLS         209 TOTAL
-                     EDM=2.80961e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14374e+02   3.98724e-01   1.45304e-03  -1.70387e-01
-   2  sg_p1        2.58336e+01   3.59782e-01   4.89449e-03   8.13003e-02
-   3  sg_p2        1.67359e+00   7.19571e-02   3.19487e-03   5.88230e-02
-   4  sg_p3        1.19124e+00   3.46142e-02   1.23219e-03  -4.28854e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.590e-01 -2.453e-02  3.541e-03 -4.624e-03 
- -2.453e-02  1.296e-01  1.051e-02  6.871e-03 
-  3.541e-03  1.051e-02  5.179e-03  5.110e-04 
- -4.624e-03  6.871e-03  5.110e-04  1.198e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39250   1.000 -0.171  0.123 -0.335
-        2  0.62921  -0.171  1.000  0.406  0.551
-        3  0.45197   0.123  0.406  1.000  0.205
-        4  0.60406  -0.335  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28998.7 FROM HESSE     STATUS=OK             23 CALLS         232 TOTAL
-                     EDM=2.80811e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14374e+02   3.98978e-01   2.90608e-04   1.46314e-01
-   2  sg_p1        2.58336e+01   3.61130e-01   1.95780e-04   4.60594e-01
-   3  sg_p2        1.67359e+00   7.21418e-02   1.27795e-04  -3.36900e-01
-   4  sg_p3        1.19124e+00   3.46971e-02   2.46437e-04  -7.20348e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.592e-01 -2.477e-02  3.557e-03 -4.644e-03 
- -2.477e-02  1.305e-01  1.069e-02  6.950e-03 
-  3.557e-03  1.069e-02  5.206e-03  5.225e-04 
- -4.644e-03  6.950e-03  5.225e-04  1.204e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39387   1.000 -0.172  0.124 -0.335
-        2  0.63278  -0.172  1.000  0.410  0.554
-        3  0.45643   0.124  0.410  1.000  0.209
-        4  0.60656  -0.335  0.554  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.374 +- 0.398978
-25.8336 +- 0.36113
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29394.8 FROM MIGRAD    STATUS=INITIATE       76 CALLS          77 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.09344e+02   6.00000e+00   0.00000e+00  -9.04905e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.79169e+02
-   3  sg_p2        1.02066e+00   5.00000e-01   0.00000e+00   2.33092e+02
-   4  sg_p3        1.24736e+00   7.00000e-01  -6.99207e-01   3.18929e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM MIGRAD    STATUS=CONVERGED     227 CALLS         228 TOTAL
-                     EDM=6.02107e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.15934e+02   4.09344e-01   1.49430e-03  -1.08719e-01
-   2  sg_p1        2.62317e+01   4.03039e-01   5.19030e-03   1.33417e-01
-   3  sg_p2        1.65790e+00   9.28346e-02   3.66697e-03   4.58391e-02
-   4  sg_p3        1.21792e+00   3.62585e-02   1.27250e-03  -4.88031e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.676e-01 -5.450e-03  9.103e-03 -3.808e-03 
- -5.450e-03  1.626e-01  2.111e-02  8.287e-03 
-  9.103e-03  2.111e-02  8.623e-03  9.650e-04 
- -3.808e-03  8.287e-03  9.650e-04  1.315e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41684   1.000 -0.033  0.239 -0.257
-        2  0.70520  -0.033  1.000  0.564  0.567
-        3  0.62110   0.239  0.564  1.000  0.287
-        4  0.61571  -0.257  0.567  0.287  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29246.6 FROM HESSE     STATUS=OK             23 CALLS         251 TOTAL
-                     EDM=6.06559e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.15934e+02   4.09665e-01   2.98861e-04   1.99109e-01
-   2  sg_p1        2.62317e+01   4.05359e-01   1.03806e-03   5.20781e-01
-   3  sg_p2        1.65790e+00   9.33088e-02   1.46679e-04  -3.43559e-01
-   4  sg_p3        1.21792e+00   3.63707e-02   2.54500e-04  -7.10248e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.678e-01 -5.327e-03  9.198e-03 -3.807e-03 
- -5.327e-03  1.645e-01  2.154e-02  8.414e-03 
-  9.198e-03  2.154e-02  8.711e-03  9.903e-04 
- -3.807e-03  8.414e-03  9.903e-04  1.323e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.41838   1.000 -0.032  0.241 -0.256
-        2  0.70926  -0.032  1.000  0.569  0.570
-        3  0.62607   0.241  0.569  1.000  0.292
-        4  0.61881  -0.256  0.570  0.292  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-815.934 +- 0.409665
-26.2317 +- 0.405359
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28612.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -3.00114e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.67115e+02
-   3  sg_p2        1.20214e+00   5.00000e-01   0.00000e+00   4.55233e+01
-   4  sg_p3        1.18762e+00   7.00000e-01  -7.21725e-01   3.91659e+02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -8.9336e-01  9.8220e-01  1.9260e+00  1.9851e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.895346 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         216 TOTAL
-                     EDM=0.158425    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12468e+02   1.41859e+00   1.44554e-03   6.97099e+00
-   2  sg_p1        2.52532e+01   1.08302e+00   4.75756e-03  -1.78654e+00
-   3  sg_p2        1.59901e+00   3.19025e-01   4.11832e-03  -4.02743e+00
-   4  sg_p3        1.18510e+00   2.53698e-02   1.13700e-04   9.82264e+00
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00001 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=28570.4 FROM MIGRAD    STATUS=FAILED        279 CALLS         280 TOTAL
-                     EDM=10.5145    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.12542e+02   1.94194e+01  -0.00000e+00   1.21944e+01
-   2  sg_p1        2.53088e+01   4.51787e+00  -0.00000e+00   3.98569e-01
-   3  sg_p2        1.61558e+00   1.51911e+00   0.00000e+00  -5.79777e+00
-   4  sg_p3        1.18237e+00   1.70381e+00  -0.00000e+00   1.97176e+02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.468e+02  5.233e-03  1.508e-03  6.862e-04 
-  5.233e-03  2.418e+01 -1.914e-04  5.328e-04 
-  1.508e-03 -1.914e-04  2.734e+00  1.653e-04 
-  6.862e-04  5.328e-04  1.653e-04  3.439e+00 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.00007   1.000  0.000  0.000  0.000
-        2  0.00008   0.000  1.000 -0.000  0.000
-        3  0.00007   0.000 -0.000  1.000  0.000
-        4  0.00008   0.000  0.000  0.000  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.2546e+02 -1.0036e+01  1.2036e+01  1.2746e+02
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 125.585418 TO DIAGONAL.
- FCN=28570.4 FROM HESSE     STATUS=NOT POSDEF     25 CALLS         305 TOTAL
-                     EDM=0.206098    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.12542e+02   3.32392e-02   4.24522e-04   8.48346e-02
-   2  sg_p1        2.53088e+01   5.64200e-01   1.39644e-03   3.83861e-01
-   3  sg_p2        1.61558e+00   1.70424e-01   1.23980e-03  -3.61595e-01
-   4  sg_p3        1.18237e+00   2.19991e-04   3.58849e-04  -7.23724e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.105e-03 -1.843e-03  5.571e-04  6.264e-07 
- -1.843e-03  3.190e-01 -9.625e-02  1.380e-06 
-  5.571e-04 -9.625e-02  2.910e-02 -4.175e-07 
-  6.264e-07  1.380e-06 -4.175e-07  4.840e-08 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.13108   1.000 -0.098  0.098  0.086
-        2  0.99899  -0.098  1.000 -0.999  0.011
-        3  0.99899   0.098 -0.999  1.000 -0.011
-        4  0.08788   0.086  0.011 -0.011  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-812.542 +- 0.0332392
-25.3088 +- 0.5642
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=28766.4 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -7.66248e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -9.03266e+01
-   3  sg_p2        1.08494e+00   5.00000e-01   0.00000e+00   1.09698e+02
-   4  sg_p3        1.05971e+00   7.00000e-01  -7.71521e-01  -1.09172e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=5.14966e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14565e+02   4.05653e-01   1.46940e-03   3.96359e-01
-   2  sg_p1        2.60283e+01   3.68198e-01   5.02230e-03   5.50486e-02
-   3  sg_p2        1.66109e+00   7.22853e-02   3.19557e-03   8.70441e-02
-   4  sg_p3        1.18488e+00   3.46494e-02   1.22798e-03  -1.02684e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.646e-01 -2.497e-02  3.759e-03 -4.697e-03 
- -2.497e-02  1.357e-01  1.103e-02  7.081e-03 
-  3.759e-03  1.103e-02  5.227e-03  5.271e-04 
- -4.697e-03  7.081e-03  5.271e-04  1.201e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39503   1.000 -0.167  0.128 -0.334
-        2  0.63439  -0.167  1.000  0.414  0.555
-        3  0.46146   0.128  0.414  1.000  0.210
-        4  0.60729  -0.334  0.555  0.210  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=28687.7 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=5.16859e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14565e+02   4.05931e-01   2.93880e-04   1.52758e-01
-   2  sg_p1        2.60283e+01   3.69660e-01   2.00892e-04   4.89788e-01
-   3  sg_p2        1.66109e+00   7.24828e-02   1.27823e-04  -3.42202e-01
-   4  sg_p3        1.18488e+00   3.47387e-02   4.91192e-05  -7.22769e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.648e-01 -2.523e-02  3.775e-03 -4.720e-03 
- -2.523e-02  1.368e-01  1.122e-02  7.167e-03 
-  3.775e-03  1.122e-02  5.255e-03  5.394e-04 
- -4.720e-03  7.167e-03  5.394e-04  1.207e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39649   1.000 -0.168  0.128 -0.335
-        2  0.63810  -0.168  1.000  0.419  0.558
-        3  0.46606   0.128  0.419  1.000  0.214
-        4  0.60995  -0.335  0.558  0.214  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.565 +- 0.405931
-26.0283 +- 0.36966
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29348.4 FROM MIGRAD    STATUS=INITIATE       57 CALLS          58 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -6.36592e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -1.83918e+02
-   3  sg_p2        1.15597e+00   5.00000e-01   0.00000e+00   8.24903e+01
-   4  sg_p3        1.21818e+00   7.00000e-01  -7.10151e-01   3.68287e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM MIGRAD    STATUS=CONVERGED     199 CALLS         200 TOTAL
-                     EDM=1.20841e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14234e+02   3.90817e-01   1.43143e-03  -2.25892e-01
-   2  sg_p1        2.55644e+01   3.48997e-01   4.72433e-03   4.76414e-02
-   3  sg_p2        1.70026e+00   7.24860e-02   3.26136e-03  -2.01102e-02
-   4  sg_p3        1.19325e+00   3.43060e-02   1.23128e-03  -1.60765e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.527e-01 -2.472e-02  3.207e-03 -4.545e-03 
- -2.472e-02  1.219e-01  9.868e-03  6.557e-03 
-  3.207e-03  9.868e-03  5.256e-03  4.874e-04 
- -4.545e-03  6.557e-03  4.874e-04  1.177e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39017   1.000 -0.181  0.113 -0.339
-        2  0.62081  -0.181  1.000  0.390  0.547
-        3  0.43378   0.113  0.390  1.000  0.196
-        4  0.60004  -0.339  0.547  0.196  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29268.2 FROM HESSE     STATUS=OK             23 CALLS         223 TOTAL
-                     EDM=1.20945e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14234e+02   3.91082e-01   2.86287e-04   1.41589e-01
-   2  sg_p1        2.55644e+01   3.50246e-01   1.88973e-04   4.20910e-01
-   3  sg_p2        1.70026e+00   7.26609e-02   1.30454e-04  -3.25619e-01
-   4  sg_p3        1.19325e+00   3.43857e-02   4.92513e-05  -7.19583e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.530e-01 -2.496e-02  3.222e-03 -4.567e-03 
- -2.496e-02  1.228e-01  1.004e-02  6.630e-03 
-  3.222e-03  1.004e-02  5.281e-03  4.983e-04 
- -4.567e-03  6.630e-03  4.983e-04  1.182e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39164   1.000 -0.182  0.113 -0.340
-        2  0.62433  -0.182  1.000  0.394  0.550
-        3  0.43823   0.113  0.394  1.000  0.199
-        4  0.60250  -0.340  0.550  0.199  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.234 +- 0.391082
-25.5644 +- 0.350246
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=26933.9 FROM MIGRAD    STATUS=INITIATE       65 CALLS          66 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -8.02085e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -6.48182e+01
-   3  sg_p2        1.12090e+00   5.00000e-01   0.00000e+00   8.31490e+01
-   4  sg_p3        1.00741e+00   7.00000e-01  -7.92584e-01  -3.93256e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM MIGRAD    STATUS=CONVERGED     255 CALLS         256 TOTAL
-                     EDM=5.05705e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14343e+02   4.13939e-01   1.45196e-03  -9.37591e-03
-   2  sg_p1        2.58276e+01   3.73340e-01   4.89042e-03   1.50340e-02
-   3  sg_p2        1.67484e+00   7.48885e-02   3.20560e-03  -1.09220e-03
-   4  sg_p3        1.19229e+00   3.59871e-02   1.23468e-03  -4.69920e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.714e-01 -2.629e-02  3.837e-03 -4.978e-03 
- -2.629e-02  1.395e-01  1.135e-02  7.403e-03 
-  3.837e-03  1.135e-02  5.610e-03  5.519e-04 
- -4.978e-03  7.403e-03  5.519e-04  1.295e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39181   1.000 -0.170  0.124 -0.334
-        2  0.62863  -0.170  1.000  0.406  0.551
-        3  0.45181   0.124  0.406  1.000  0.205
-        4  0.60326  -0.334  0.551  0.205  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=26858 FROM HESSE     STATUS=OK             23 CALLS         279 TOTAL
-                     EDM=5.06656e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14343e+02   4.14229e-01   5.80783e-05   1.45269e-01
-   2  sg_p1        2.58276e+01   3.74765e-01   1.95617e-04   4.59703e-01
-   3  sg_p2        1.67484e+00   7.50817e-02   1.28224e-04  -3.36369e-01
-   4  sg_p3        1.19229e+00   3.60762e-02   4.93874e-05  -7.19948e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.716e-01 -2.658e-02  3.854e-03 -5.003e-03 
- -2.658e-02  1.406e-01  1.154e-02  7.491e-03 
-  3.854e-03  1.154e-02  5.639e-03  5.644e-04 
- -5.003e-03  7.491e-03  5.644e-04  1.302e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39332   1.000 -0.171  0.124 -0.335
-        2  0.63227  -0.171  1.000  0.410  0.554
-        3  0.45629   0.124  0.410  1.000  0.208
-        4  0.60585  -0.335  0.554  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.343 +- 0.414229
-25.8276 +- 0.374765
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [550,1020] --> [550,1020]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1020]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [650,920]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31351.8 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.10000e+02   6.00000e+00   0.00000e+00  -9.46989e+02
-   2  sg_p1        2.25000e+01   1.50000e+00   0.00000e+00  -5.83441e+01
-   3  sg_p2        1.10816e+00   5.00000e-01   0.00000e+00   1.09432e+02
-   4  sg_p3        1.01312e+00   7.00000e-01  -7.90261e-01  -4.08568e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM MIGRAD    STATUS=CONVERGED     190 CALLS         191 TOTAL
-                     EDM=0.000282451    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.14404e+02   3.84308e-01   1.45349e-03  -2.57491e-01
-   2  sg_p1        2.58356e+01   3.46779e-01   4.90055e-03  -2.87296e-01
-   3  sg_p2        1.67287e+00   6.92592e-02   3.19853e-03   5.88350e-01
-   4  sg_p3        1.19029e+00   3.33252e-02   1.23266e-03   1.10421e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.477e-01 -2.290e-02  3.276e-03 -4.302e-03 
- -2.290e-02  1.204e-01  9.759e-03  6.385e-03 
-  3.276e-03  9.759e-03  4.798e-03  4.745e-04 
- -4.302e-03  6.385e-03  4.745e-04  1.111e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39330   1.000 -0.172  0.123 -0.336
-        2  0.62986  -0.172  1.000  0.406  0.552
-        3  0.45226   0.123  0.406  1.000  0.206
-        4  0.60490  -0.336  0.552  0.206  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31263.7 FROM HESSE     STATUS=OK             23 CALLS         214 TOTAL
-                     EDM=0.000282194    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.14404e+02   3.84550e-01   2.90698e-04   1.47348e-01
-   2  sg_p1        2.58356e+01   3.47902e-01   9.80110e-04   4.60888e-01
-   3  sg_p2        1.67287e+00   6.94090e-02   6.39706e-04  -3.37208e-01
-   4  sg_p3        1.19029e+00   3.33968e-02   4.93065e-05  -7.20709e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.479e-01 -2.313e-02  3.287e-03 -4.322e-03 
- -2.313e-02  1.211e-01  9.898e-03  6.450e-03 
-  3.287e-03  9.898e-03  4.819e-03  4.836e-04 
- -4.322e-03  6.450e-03  4.836e-04  1.115e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.39464   1.000 -0.173  0.123 -0.336
-        2  0.63294  -0.173  1.000  0.410  0.555
-        3  0.45602   0.123  0.410  1.000  0.209
-        4  0.60714  -0.336  0.555  0.209  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-800
-814.404 +- 0.38455
-25.8356 +- 0.347902
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 814.374 +- 0.398978 (stat) - 1.83178 + 1.56012 (syst); -1.84261/+1.57282 (total)
-   Uncertainty on sg_p1 = 25.8336 +- 0.36113 (stat) - 0.524827 + 0.398085 (syst); -0.55502/+0.437122 (total)
-   Uncertainty on sg_p2 = 1.67359 +- 0.0721418 (stat) - 0.0580086 + 0.0266696 (syst); -0.0683089/+0.0448595 (total)
-   Uncertainty on sg_p3 = 1.19124 +- 0.0346971 (stat) - 0.00886586 + 0.0266863 (syst); -0.0194827/+0.0318297 (total)
-   === Baseline plot === </br>
-   norm = 217.194
-JEC     lnN   1.00978  -
-JER     lnN   1.01239  -
-btag    lnN   1.07603  -
-sg_p0   param   814.374 -1.84261/+1.57282
-sg_p1   param   25.8336 -0.55502/+0.437122
-sg_p2   param   1.67359  -0.0683089/+0.0448595
-sg_p3   param   1.19124  -0.0194827/+0.0318297
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
deleted file mode 100644
index 93f8003..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,7 +0,0 @@
-Error in <ROOT::Math::FReal time 0:00:00, CP time 0.040
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 1.66342e-05  -1.66342e-05/+2.99998  (68% CL)
-nll S+B -> -1.27545e-05  nll B -> -1.23598e-05
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
deleted file mode 100644
index afac841..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 5.435727:	q_mu = 3.82870	q_A  = 3.82671	CLsb = 0.02519	CLb  = 0.49980	CLs  = 0.05040
-
- -- Asymptotic -- 
-Observed Limit: r < 5.4357
-Expected  2.5%: r < 2.8224
-Expected 16.0%: r < 3.8192
-Expected 50.0%: r < 5.4531
-Expected 84.0%: r < 7.9093
-Expected 97.5%: r < 11.1955
-
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt
deleted file mode 100644
index 8db6818..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:f_crystal_1
-shapes data_obs   HbbHbb w_background_crystal_1_550_1200.root      HbbHbb:data_obs_crystal_1_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.64156 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.0799    -
-JER       lnN     1.01164   - 
-JEC       lnN     1.00857   -
-trigger   lnN     1.10    -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/signal900_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/signal900_sig.log
deleted file mode 100644
index d4cc812..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_crystal_1_550_1200/signal900_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33664.2 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.87024e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   1.70564e+01
-   3  sg_p2        8.67563e-01   5.00000e-01   0.00000e+00   3.77923e+02
-   4  sg_p3        1.75058e+00   7.00000e-01  -5.23409e-01  -9.51811e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.14138 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             27 CALLS         373 TOTAL
-                     EDM=0.00332624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18636e-01   1.26596e-03   7.76547e-02
-   2  sg_p1        4.38895e+01   5.43360e-01   3.99187e-03   5.04266e-02
-   3  sg_p2        2.61266e+00   9.39365e-01   6.28602e-02  -2.11368e-01
-   4  sg_p3        1.68218e+00   9.36801e-02   3.16921e-03   5.53803e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33371.1 FROM MIGRAD    STATUS=CONVERGED     386 CALLS         387 TOTAL
-                     EDM=8.86352e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18635e-01   1.67624e-06  -3.95438e-03
-   2  sg_p1        4.38881e+01   5.43356e-01  -9.98687e-05  -6.98133e-04
-   3  sg_p2        2.69108e+00   9.37644e-01   3.14301e-02  -2.30056e-05
-   4  sg_p3        1.68195e+00   9.36715e-02  -7.67431e-05  -4.02566e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.827e-01 -6.502e-02 -5.811e-05 -2.090e-02 
- -6.502e-02  2.954e-01  5.476e-04  2.735e-02 
- -5.811e-05  5.476e-04  9.241e-01  1.376e-04 
- -2.090e-02  2.735e-02  1.376e-04  8.777e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36054   1.000 -0.193 -0.000 -0.361
-        2  0.53708  -0.193  1.000  0.001  0.537
-        3  0.00163  -0.000  0.001  1.000  0.002
-        4  0.59741  -0.361  0.537  0.002  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             29 CALLS         416 TOTAL
-                     EDM=5.60701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.87145e+02   6.19206e-01   1.26598e-03   2.89787e-01
-   2  sg_p1        4.38881e+01   5.44560e-01   1.59675e-03   2.62200e-01
-   3  sg_p2        2.69108e+00   3.66223e+00   4.86437e-02   7.65081e-02
-   4  sg_p3        1.68195e+00   9.38964e-02   1.26768e-03  -5.46198e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.834e-01 -6.608e-02  9.504e-07 -2.110e-02 
- -6.608e-02  2.967e-01  4.698e-06  2.763e-02 
-  9.504e-07  4.698e-06  6.569e+03  3.565e-07 
- -2.110e-02  2.763e-02  3.565e-07  8.819e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36280   1.000 -0.196  0.000 -0.363
-        2  0.54009  -0.196  1.000  0.000  0.540
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.60032  -0.363  0.540  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-887.145 +- 0.619206
-43.8881 +- 0.54456
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33829.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.37162e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   7.33519e+01
-   3  sg_p2        5.87771e-01   5.00000e-01  -8.70873e-01   9.57906e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.46120e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00007 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             25 CALLS         331 TOTAL
-                     EDM=0.315109    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91582e+02   6.17824e-01   1.32224e-03  -7.77130e-01
-   2  sg_p1        4.40907e+01   5.43395e-01   4.14838e-03   2.19978e+00
-   3  sg_p2        2.59937e+00   4.57998e-01   2.91245e-01  -4.28319e+00
-   4  sg_p3        1.56794e+00   6.89875e-02   2.49674e-03  -3.53414e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33473.2 FROM MIGRAD    STATUS=CONVERGED     344 CALLS         345 TOTAL
-                     EDM=1.81644e-07    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91593e+02   6.17785e-01   1.97446e-04  -3.22562e-02
-   2  sg_p1        4.40472e+01   5.43856e-01  -3.01296e-03  -7.86524e-03
-   3  sg_p2        2.96080e+00   4.50508e-01   1.45623e-01   0.00000e+00
-   4  sg_p3        1.56553e+00   6.89514e-02  -8.25067e-04   1.93280e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.817e-01 -4.853e-02  1.606e-04 -1.348e-02 
- -4.853e-02  2.959e-01  6.495e-06  1.836e-02 
-  1.606e-04  6.495e-06  2.053e-01 -1.663e-05 
- -1.348e-02  1.836e-02 -1.663e-05  4.755e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31670   1.000 -0.144  0.001 -0.316
-        2  0.48950  -0.144  1.000  0.000  0.489
-        3  0.00076   0.001  0.000  1.000 -0.001
-        4  0.54881  -0.316  0.489 -0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             31 CALLS         376 TOTAL
-                     EDM=1.33661    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.91593e+02   6.18180e-01   1.32251e-03   3.68142e-01
-   2  sg_p1        4.40472e+01   5.43127e-01   4.14931e-03   2.73201e-01
-   3  sg_p2        2.96080e+00   5.37583e-01   5.10000e-01   1.85380e-01
-   4  sg_p3        1.56553e+00   6.89873e-02   9.98698e-04  -5.85607e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.822e-01 -4.972e-02 -6.585e-12 -1.366e-02 
- -4.972e-02  2.951e-01  2.406e-12  1.846e-02 
- -6.585e-12  2.406e-12  2.937e-01  2.262e-12 
- -1.366e-02  1.846e-02  2.262e-12  4.760e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32056   1.000 -0.148 -0.000 -0.320
-        2  0.49249  -0.148  1.000  0.000  0.492
-        3  0.00000  -0.000  0.000  1.000  0.000
-        4  0.55232  -0.320  0.492  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-891.593 +- 0.61818
-44.0472 +- 0.543127
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33025.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.21902e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   3.56266e+01
-   3  sg_p2        8.48797e-01   5.00000e-01   0.00000e+00   8.71721e+00
-   4  sg_p3        1.96916e+00   7.00000e-01  -4.52685e-01   1.33827e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             31 CALLS         284 TOTAL
-                     EDM=0.000111741    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83274e+02   5.75489e-01   1.22716e-03   3.79802e-02
-   2  sg_p1        4.40176e+01   4.49467e-01   3.85966e-03  -7.57641e-02
-   3  sg_p2        2.44289e+00   2.23488e-01   1.00126e-02   8.24918e-02
-   4  sg_p3        1.81465e+00   3.14767e-02   3.33332e-03   1.27746e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=32836 FROM MIGRAD    STATUS=FAILED        321 CALLS         322 TOTAL
-                     EDM=0.034586    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  18.3 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83276e+02   5.73266e-01  -0.00000e+00   5.01334e-02
-   2  sg_p1        4.40177e+01   4.48511e-01   0.00000e+00   1.03605e-01
-   3  sg_p2        2.44263e+00   1.46331e-01  -0.00000e+00  -1.44978e-01
-   4  sg_p3        1.81329e+00   9.50131e-03   0.00000e+00  -1.27604e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.286e-01  1.600e-03 -3.893e-03 -4.127e-05 
-  1.600e-03  2.012e-01  2.014e-03  3.934e-04 
- -3.893e-03  2.014e-03  2.144e-02 -5.698e-04 
- -4.127e-05  3.934e-04 -5.698e-04  9.028e-05 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05588   1.000  0.006 -0.046 -0.008
-        2  0.11947   0.006  1.000  0.031  0.092
-        3  0.41831  -0.046  0.031  1.000 -0.410
-        4  0.42369  -0.008  0.092 -0.410  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             29 CALLS         351 TOTAL
-                     EDM=0.000104468    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.83276e+02   5.75584e-01   1.22738e-03   2.23108e-01
-   2  sg_p1        4.40177e+01   4.49699e-01   3.86131e-03   2.71159e-01
-   3  sg_p2        2.44263e+00   2.24450e-01   1.04348e-02  -2.29498e-02
-   4  sg_p3        1.81329e+00   3.18671e-02   3.32746e-03  -5.02843e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.313e-01 -1.034e-03 -3.993e-04 -1.393e-03 
- -1.034e-03  2.023e-01 -9.138e-05  1.874e-03 
- -3.993e-04 -9.138e-05  5.051e-02  1.806e-06 
- -1.393e-03  1.874e-03  1.806e-06  1.016e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.07626   1.000 -0.004 -0.003 -0.076
-        2  0.13085  -0.004  1.000 -0.001  0.131
-        3  0.00322  -0.003 -0.001  1.000  0.000
-        4  0.15092  -0.076  0.131  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-883.276 +- 0.575584
-44.0177 +- 0.449699
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31847.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.15004e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.07919e+02
-   3  sg_p2        1.34843e+00   5.00000e-01   0.00000e+00   1.01663e+02
-   4  sg_p3        1.18098e+00   7.00000e-01  -7.24255e-01  -8.67138e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.8133e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14708e+02   6.08444e-01   1.29613e-03   1.05815e-01
-   2  sg_p1        3.02451e+01   5.68219e-01   5.56289e-03   1.74811e-02
-   3  sg_p2        2.07933e+00   1.35380e-01   6.08573e-03   1.51761e-02
-   4  sg_p3        1.21527e+00   6.15917e-02   1.48479e-03   1.57009e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.702e-01 -2.155e-01 -1.002e-02 -2.676e-02 
- -2.155e-01  3.236e-01  3.008e-02  2.846e-02 
- -1.002e-02  3.008e-02  1.835e-02  2.403e-03 
- -2.676e-02  2.846e-02  2.403e-03  3.794e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.72659   1.000 -0.623 -0.122 -0.714
-        2  0.83258  -0.623  1.000  0.390  0.812
-        3  0.42083  -0.122  0.390  1.000  0.288
-        4  0.85489  -0.714  0.812  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=2.07761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14708e+02   6.37633e-01   5.18452e-05   1.17968e-01
-   2  sg_p1        3.02451e+01   6.04034e-01   2.22516e-04   3.74720e-01
-   3  sg_p2        2.07933e+00   1.39479e-01   2.43429e-04  -1.69071e-01
-   4  sg_p3        1.21527e+00   6.62844e-02   5.93916e-05  -7.11249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.066e-01 -2.540e-01 -1.389e-02 -3.139e-02 
- -2.540e-01  3.658e-01  3.536e-02  3.345e-02 
- -1.389e-02  3.536e-02  1.948e-02  2.966e-03 
- -3.139e-02  3.345e-02  2.966e-03  4.395e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75434   1.000 -0.659 -0.156 -0.743
-        2  0.85324  -0.659  1.000  0.419  0.834
-        3  0.44886  -0.156  0.419  1.000  0.321
-        4  0.87300  -0.743  0.834  0.321  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.708 +- 0.637633
-30.2451 +- 0.604034
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=32076.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.42825e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.66341e+02
-   3  sg_p2        1.24756e+00   5.00000e-01   0.00000e+00   1.32032e+02
-   4  sg_p3        1.51475e+00   7.00000e-01  -6.03120e-01   6.41643e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.2508e+00  8.3406e-01  1.1303e+00  4.2864e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 2.255047 TO DIAGONAL.
- FCN=31897 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         293 TOTAL
-                     EDM=0.00241152    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   6.95098e-01   1.30051e-03   1.46076e-01
-   2  sg_p1        3.03755e+01   3.97597e-01   5.52810e-03   7.58612e-03
-   3  sg_p2        2.27801e+00   1.55888e+00   7.81545e-03   6.54139e-02
-   4  sg_p3        1.17081e+00   2.99817e-01   1.31225e-03   1.00535e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM MIGRAD    STATUS=CONVERGED     328 CALLS         329 TOTAL
-                     EDM=0.000214971    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   4.88559e-01   1.30052e-03   3.06873e-02
-   2  sg_p1        3.03754e+01   4.10963e-01   2.21124e-03   2.67746e-02
-   3  sg_p2        2.27858e+00   1.68057e-01   3.12618e-03   1.19850e-01
-   4  sg_p3        1.17071e+00   3.83284e-02   1.31215e-03   6.94100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.387e-01 -8.067e-02  2.183e-04 -9.547e-03 
- -8.067e-02  1.691e-01  1.601e-02  9.908e-03 
-  2.183e-04  1.601e-02  2.829e-02  8.281e-04 
- -9.547e-03  9.908e-03  8.281e-04  1.469e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52820   1.000 -0.402  0.003 -0.510
-        2  0.65548  -0.402  1.000  0.231  0.629
-        3  0.25444   0.003  0.231  1.000  0.128
-        4  0.68871  -0.510  0.629  0.128  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM HESSE     STATUS=OK             23 CALLS         352 TOTAL
-                     EDM=0.000216668    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.17231e+02   4.89066e-01   5.20206e-05   1.81768e-01
-   2  sg_p1        3.03754e+01   4.11848e-01   4.42248e-04   3.93462e-01
-   3  sg_p2        2.27858e+00   1.68511e-01   6.25236e-04  -8.86838e-02
-   4  sg_p3        1.17071e+00   3.83872e-02   2.62429e-04  -7.28178e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.392e-01 -8.128e-02  1.943e-04 -9.592e-03 
- -8.128e-02  1.698e-01  1.629e-02  9.968e-03 
-  1.943e-04  1.629e-02  2.844e-02  8.443e-04 
- -9.592e-03  9.968e-03  8.443e-04  1.474e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52961   1.000 -0.403  0.002 -0.511
-        2  0.65734  -0.403  1.000  0.234  0.630
-        3  0.25774   0.002  0.234  1.000  0.130
-        4  0.68988  -0.511  0.630  0.130  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-917.231 +- 0.489066
-30.3754 +- 0.411848
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31270.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.11670e+02   8.00000e+00   4.17695e-02   1.48625e+01
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.41145e+02
-   3  sg_p2        1.45615e+00   5.00000e-01   0.00000e+00  -1.80733e+01
-   4  sg_p3        1.27355e+00   7.00000e-01   0.00000e+00   5.00168e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=1.00647e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.12666e+02   5.93671e-01   1.27735e-03   2.63765e-02
-   2  sg_p1        2.96697e+01   6.13867e-01   5.39370e-03   1.70034e-02
-   3  sg_p2        1.86746e+00   1.16178e-01   4.79471e-03   1.24233e-02
-   4  sg_p3        1.20141e+00   6.21896e-02   1.45289e-03   7.47047e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.525e-01 -2.113e-01 -9.800e-03 -2.540e-02 
- -2.113e-01  3.778e-01  3.879e-02  3.144e-02 
- -9.800e-03  3.879e-02  1.351e-02  2.946e-03 
- -2.540e-02  3.144e-02  2.946e-03  3.868e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71041   1.000 -0.579 -0.142 -0.688
-        2  0.85591  -0.579  1.000  0.543  0.822
-        3  0.58356  -0.142  0.543  1.000  0.408
-        4  0.86266  -0.688  0.822  0.408  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=1.03715e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.12666e+02   5.96901e-01   2.55470e-04   6.66929e-02
-   2  sg_p1        2.96697e+01   6.22112e-01   2.15748e-04   2.93491e-01
-   3  sg_p2        1.86746e+00   1.17183e-01   1.91788e-04  -2.55796e-01
-   4  sg_p3        1.20141e+00   6.28752e-02   5.81156e-05  -7.16489e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.563e-01 -2.172e-01 -1.053e-02 -2.596e-02 
- -2.172e-01  3.880e-01  4.037e-02  3.237e-02 
- -1.053e-02  4.037e-02  1.374e-02  3.084e-03 
- -2.596e-02  3.237e-02  3.084e-03  3.954e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71417   1.000 -0.584 -0.151 -0.692
-        2  0.86002  -0.584  1.000  0.553  0.827
-        3  0.59309  -0.151  0.553  1.000  0.418
-        4  0.86587  -0.692  0.827  0.418  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-912.666 +- 0.596901
-29.6697 +- 0.622112
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31402.8 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -6.41887e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.32609e+02
-   3  sg_p2        1.21873e+00   5.00000e-01   0.00000e+00   2.82004e+01
-   4  sg_p3        1.29003e+00   7.00000e-01  -6.83382e-01   3.00498e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM MIGRAD    STATUS=CONVERGED     202 CALLS         203 TOTAL
-                     EDM=9.20948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14895e+02   5.51583e-01   1.31460e-03   1.61689e-01
-   2  sg_p1        3.03350e+01   7.44882e-01   5.76073e-03  -3.27245e-02
-   3  sg_p2        1.86472e+00   2.01246e-01   6.02311e-03  -3.75996e-03
-   4  sg_p3        1.20817e+00   6.26611e-02   1.44547e-03   2.50672e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.043e-01 -1.559e-01 -6.728e-03 -1.871e-02 
- -1.559e-01  5.570e-01  1.146e-01  3.885e-02 
- -6.728e-03  1.146e-01  4.059e-02  7.410e-03 
- -1.871e-02  3.885e-02  7.410e-03  3.927e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63293   1.000 -0.379 -0.061 -0.541
-        2  0.89852  -0.379  1.000  0.762  0.831
-        3  0.80154  -0.061  0.762  1.000  0.587
-        4  0.86629  -0.541  0.831  0.587  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM HESSE     STATUS=OK             23 CALLS         226 TOTAL
-                     EDM=9.24142e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14895e+02   5.53867e-01   2.62920e-04   1.22682e-01
-   2  sg_p1        3.03350e+01   7.70523e-01   2.30429e-04   3.87633e-01
-   3  sg_p2        1.86472e+00   2.07594e-01   2.40925e-04  -2.56930e-01
-   4  sg_p3        1.20817e+00   6.42645e-02   5.78186e-05  -7.13930e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.068e-01 -1.637e-01 -8.469e-03 -1.930e-02 
- -1.637e-01  5.962e-01  1.248e-01  4.167e-02 
- -8.469e-03  1.248e-01  4.320e-02  8.128e-03 
- -1.930e-02  4.167e-02  8.128e-03  4.131e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63682   1.000 -0.383 -0.074 -0.542
-        2  0.90554  -0.383  1.000  0.777  0.840
-        3  0.81484  -0.074  0.777  1.000  0.608
-        4  0.87336  -0.542  0.840  0.608  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.895 +- 0.553867
-30.335 +- 0.770523
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31997 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.37823e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -7.64703e+01
-   3  sg_p2        1.30597e+00   5.00000e-01   0.00000e+00  -1.46520e+01
-   4  sg_p3        1.20892e+00   7.00000e-01  -7.13644e-01   4.56011e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM MIGRAD    STATUS=CONVERGED     187 CALLS         188 TOTAL
-                     EDM=0.000455256    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14847e+02   4.88994e-01   1.26432e-03   4.89756e-01
-   2  sg_p1        2.93287e+01   6.86296e-01   5.26048e-03   5.85295e-02
-   3  sg_p2        1.92235e+00   2.48995e-01   6.70981e-03   1.75003e-01
-   4  sg_p3        1.17091e+00   4.94270e-02   1.31942e-03  -2.75253e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.391e-01 -5.711e-02  1.273e-02 -9.083e-03 
- -5.711e-02  4.724e-01  1.369e-01  2.673e-02 
-  1.273e-02  1.369e-01  6.222e-02  7.189e-03 
- -9.083e-03  2.673e-02  7.189e-03  2.443e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55484   1.000 -0.170  0.104 -0.376
-        2  0.89241  -0.170  1.000  0.799  0.787
-        3  0.83537   0.104  0.799  1.000  0.583
-        4  0.82462  -0.376  0.787  0.583  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM HESSE     STATUS=OK             29 CALLS         217 TOTAL
-                     EDM=0.000126642    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14847e+02   4.87177e-01   2.52865e-04   1.21475e-01
-   2  sg_p1        2.93287e+01   4.44229e-01   2.10419e-04   2.46308e-01
-   3  sg_p2        1.92235e+00   1.10134e-01   2.00630e-01  -2.33169e-01
-   4  sg_p3        1.17091e+00   4.11749e-02   5.27768e-05  -7.28101e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.374e-01 -8.558e-02  4.043e-04 -1.061e-02 
- -8.558e-02  1.976e-01  1.759e-02  1.238e-02 
-  4.043e-04  1.759e-02  1.214e-02  9.448e-04 
- -1.061e-02  1.238e-02  9.448e-04  1.696e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55015   1.000 -0.395  0.008 -0.529
-        2  0.71638  -0.395  1.000  0.359  0.676
-        3  0.39465   0.008  0.359  1.000  0.208
-        4  0.73407  -0.529  0.676  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.847 +- 0.487177
-29.3287 +- 0.444229
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29376.3 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.21334e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.14912e+02
-   3  sg_p2        1.36391e+00   5.00000e-01   0.00000e+00   1.01339e+02
-   4  sg_p3        1.20442e+00   7.00000e-01  -7.15346e-01   5.08593e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM MIGRAD    STATUS=CONVERGED     194 CALLS         195 TOTAL
-                     EDM=0.000205755    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14660e+02   4.99096e-01   1.29653e-03  -5.11216e-02
-   2  sg_p1        3.02540e+01   3.59225e-01   5.55826e-03   5.44144e-02
-   3  sg_p2        2.08275e+00   1.37518e-01   6.20642e-03   1.37624e-01
-   4  sg_p3        1.21801e+00   3.97286e-02   1.50718e-03  -6.59977e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.491e-01  5.789e-03  1.174e-02 -9.048e-03 
-  5.789e-03  1.292e-01  1.502e-02 -3.879e-03 
-  1.174e-02  1.502e-02  1.893e-02 -7.314e-04 
- -9.048e-03 -3.879e-03 -7.314e-04  1.578e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48768   1.000  0.032  0.171 -0.456
-        2  0.40688   0.032  1.000  0.304 -0.272
-        3  0.34471   0.171  0.304  1.000 -0.134
-        4  0.52420  -0.456 -0.272 -0.134  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM HESSE     STATUS=OK             23 CALLS         218 TOTAL
-                     EDM=0.000176487    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14660e+02   6.63602e-01   2.59307e-04   1.16777e-01
-   2  sg_p1        3.02540e+01   6.28299e-01   2.22330e-04   3.75996e-01
-   3  sg_p2        2.08275e+00   1.45711e-01   2.48257e-04  -1.67686e-01
-   4  sg_p3        1.21801e+00   6.93582e-02   3.01436e-04  -7.10215e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.404e-01 -2.750e-01 -1.507e-02 -3.419e-02 
- -2.750e-01  3.958e-01  3.829e-02  3.641e-02 
- -1.507e-02  3.829e-02  2.126e-02  3.230e-03 
- -3.419e-02  3.641e-02  3.230e-03  4.812e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75425   1.000 -0.659 -0.156 -0.743
-        2  0.85307  -0.659  1.000  0.417  0.834
-        3  0.44715  -0.156  0.417  1.000  0.319
-        4  0.87298  -0.743  0.834  0.319  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.66 +- 0.663602
-30.254 +- 0.628299
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=34491.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -1.23996e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.14064e+01
-   3  sg_p2        1.33344e+00   5.00000e-01   0.00000e+00   1.23543e+02
-   4  sg_p3        1.01604e+00   7.00000e-01  -7.89075e-01  -7.54461e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=1.48214e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14750e+02   5.25007e-01   1.29029e-03   2.37283e-01
-   2  sg_p1        3.02408e+01   4.81625e-01   5.53748e-03  -1.27642e-02
-   3  sg_p2        2.07745e+00   1.27929e-01   6.14558e-03   4.69647e-02
-   4  sg_p3        1.21295e+00   5.03011e-02   1.45362e-03   1.82273e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -1.325e-01 -3.877e-03 -1.666e-02 
- -1.325e-01  2.323e-01  2.235e-02  1.825e-02 
- -3.877e-03  2.235e-02  1.638e-02  1.568e-03 
- -1.666e-02  1.825e-02  1.568e-03  2.531e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64731   1.000 -0.523 -0.058 -0.631
-        2  0.77971  -0.523  1.000  0.362  0.753
-        3  0.39469  -0.058  0.362  1.000  0.244
-        4  0.80244  -0.631  0.753  0.244  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM HESSE     STATUS=OK             23 CALLS         212 TOTAL
-                     EDM=1.52019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14750e+02   5.22645e-01   2.58059e-04   1.19022e-01
-   2  sg_p1        3.02408e+01   4.78916e-01   2.21499e-04   3.74107e-01
-   3  sg_p2        2.07745e+00   1.30836e-01   2.45823e-04  -1.69835e-01
-   4  sg_p3        1.21295e+00   4.98205e-02   5.81447e-05  -7.12123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.732e-01 -1.292e-01 -3.790e-03 -1.629e-02 
- -1.292e-01  2.297e-01  2.340e-02  1.784e-02 
- -3.790e-03  2.340e-02  1.713e-02  1.620e-03 
- -1.629e-02  1.784e-02  1.620e-03  2.482e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64323   1.000 -0.516 -0.055 -0.626
-        2  0.77685  -0.516  1.000  0.373  0.747
-        3  0.40646  -0.055  0.373  1.000  0.248
-        4  0.79826  -0.626  0.747  0.248  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.75 +- 0.522645
-30.2408 +- 0.478916
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 914.708 +- 0.637633 (stat) - 2.04205 + 2.52294 (syst); -2.06678/+2.54301 (total)
-   Uncertainty on sg_p1 = 30.2451 +- 0.604034 (stat) - 0.916401 + 0.130325 (syst); -0.964886/+0.328936 (total)
-   Uncertainty on sg_p2 = 2.07933 +- 0.139479 (stat) - 0.214614 + 0.199247 (syst); -0.225661/+0.2111 (total)
-   Uncertainty on sg_p3 = 1.21527 +- 0.0662844 (stat) - 0.0445565 + 0.00274258 (syst); -0.055531/+0.0332555 (total)
-   === Baseline plot === </br>
-   norm = 232.078
-JEC     lnN   1.00857  -
-JER     lnN   1.01164  -
-btag    lnN   1.0799  -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
deleted file mode 100644
index 4f0c379..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
+++ /dev/null
@@ -1,8 +0,0 @@
-Running Minos for POI 
-Real time 0:00:00, CP time 0.010
-
-
- --- MaxLikelihoodFit ---
-Best fit r: 4.61252e-05  -4.61252e-05/+2.75551  (68% CL)
-nll S+B -> -0.000957586  nll B -> -0.000957593
-Done in 0.01 min (cpu), 0.01 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
deleted file mode 100644
index 4dd9da0..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
+++ /dev/null
@@ -1,11 +0,0 @@
-At r = 5.703347:	q_mu = 3.83605	q_A  = 3.83396	CLsb = 0.02508	CLb  = 0.49979	CLs  = 0.05018
-
- -- Asymptotic -- 
-Observed Limit: r < 5.7033
-Expected  2.5%: r < 2.9518
-Expected 16.0%: r < 3.9943
-Expected 50.0%: r < 5.7031
-Expected 84.0%: r < 8.3174
-Expected 97.5%: r < 11.7370
-
-Done in 0.00 min (cpu), 0.00 min (real)
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/data_bkg.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/data_bkg.log
deleted file mode 100644
index a966e12..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/data_bkg.log
+++ /dev/null
@@ -1,690 +0,0 @@
-
-Processing PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c...
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_1): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(pred_2): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10879.7 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   6.74624e-01   5.09000e-01  -8.31364e-01  -1.01971e+02
-   2  par_crystal_1   2.55500e+00   5.09000e-01   0.00000e+00  -3.20610e+01
-   3  par_crystal_2   5.00000e+02   2.00000e+01   0.00000e+00  -9.48837e+00
-   4  par_crystal_3   1.05000e+02   1.90000e+01   0.00000e+00   2.45317e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.7116e+01  9.9978e-01  1.9597e+00  1.8156e+01
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 17.134017 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         314 TOTAL
-                     EDM=0.131054    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.06594e+00   6.09301e-02   1.43210e-03  -8.77809e-01
-   2  par_crystal_1   5.09576e+00   7.69298e-02   8.09031e-02  -5.13188e-02
-   3  par_crystal_2   4.95224e+02   7.91481e+01   2.17679e-03  -5.43249e-01
-   4  par_crystal_3   1.90900e+02   9.54958e+00   1.13079e-02   4.60762e-02
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        477 CALLS         478 TOTAL
-                     EDM=0.0370129    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_0   1.11079e+00   8.93309e-02   0.00000e+00  -4.75984e-01
-   2  par_crystal_1   5.08061e+00   3.60144e-01   0.00000e+00  -1.14416e-01
-   3  par_crystal_2   4.76040e+02   1.75614e+01   0.00000e+00  -2.32451e-01
-   4  par_crystal_3   1.99914e+02   2.77391e+01   0.00000e+00  -7.67572e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  7.985e-03 -2.091e-03  1.499e+00  2.820e-01 
- -2.091e-03  2.873e-02 -7.387e-01 -2.900e-02 
-  1.499e+00 -7.387e-01  3.118e+02  5.244e+01 
-  2.820e-01 -2.900e-02  5.244e+01  1.008e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99775   1.000 -0.138  0.950  0.994
-        2  0.79882  -0.138  1.000 -0.247 -0.054
-        3  0.95717   0.950 -0.247  1.000  0.935
-        4  0.99764   0.994 -0.054  0.935  1.000
- ERR MATRIX NOT POS-DEF
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.8 FROM HESSE     STATUS=OK             27 CALLS         505 TOTAL
-                     EDM=0.0183624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_0   1.11079e+00   4.31984e-02   1.44775e-03  -6.03431e-01
-   2  par_crystal_1   5.08061e+00   3.28337e+00   6.64371e-02   1.44728e+00
-   3  par_crystal_2   4.76040e+02   8.02153e+00   1.45036e-02   3.38355e+00
-   4  par_crystal_3   1.99914e+02   2.26294e+01   4.50606e-02   1.52819e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.866e-03 -1.951e-03 -2.584e-03  1.946e-02 
- -1.951e-03  1.028e-01  6.675e-04  3.793e-04 
- -2.584e-03  6.675e-04  6.449e+01  1.116e+00 
-  1.946e-02  3.793e-04  1.116e+00  8.140e+00 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.21215   1.000 -0.141 -0.007  0.158
-        2  0.14274  -0.141  1.000  0.000  0.000
-        3  0.05109  -0.007  0.000  1.000  0.049
-        4  0.16712   0.158  0.000  0.049  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_gaus_exp_pred_1' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_gaus_exp_pred_1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10978.6 FROM MIGRAD    STATUS=INITIATE       68 CALLS          69 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   6.03110e+02   3.00000e+01  -8.97402e-01  -6.52175e+01
-   2  par_gaus_exp_1   5.45000e+01   9.10000e+00   0.00000e+00  -4.62060e+02
-   3  par_gaus_exp_2   4.12114e-01   3.05000e-01   0.00000e+00   1.25553e+03
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.9 FROM HESSE     STATUS=OK             18 CALLS         182 TOTAL
-                     EDM=0.000691453    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.46431e+02   6.06936e+00   3.17833e-03  -3.92855e-01
-   2  par_gaus_exp_1   6.65716e+01   1.75685e+01   2.62647e-03   1.43349e-01
-   3  par_gaus_exp_2   3.07505e-01   8.37981e-02   8.79822e-04  -3.06196e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM MIGRAD    STATUS=CONVERGED     316 CALLS         317 TOTAL
-                     EDM=9.19369e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_gaus_exp_0   5.62504e+02   3.53152e+00   1.63243e-03  -1.66316e-01
-   2  par_gaus_exp_1   2.46552e+01   1.25211e+01   1.75085e-03  -3.48771e-01
-   3  par_gaus_exp_2   1.14604e-01   5.89219e-02   6.31447e-04   9.83138e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.247e+01 -1.544e+01 -6.961e-02 
- -1.544e+01  1.643e+02  7.558e-01 
- -6.961e-02  7.558e-01  3.493e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.35636   1.000 -0.341 -0.333
-        2  0.99789  -0.341  1.000  0.998
-        3  0.99788  -0.333  0.998  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.6 FROM HESSE     STATUS=OK             16 CALLS         333 TOTAL
-                     EDM=9.89177e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_gaus_exp_0   5.62504e+02   3.77274e+00   6.52972e-05   8.34552e-02
-   2  par_gaus_exp_1   2.46552e+01   1.46349e+01   3.50170e-04  -7.15413e-01
-   3  par_gaus_exp_2   1.14604e-01   6.93856e-02   1.26289e-04  -1.27868e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.424e+01 -2.545e+01 -1.157e-01 
- -2.545e+01  2.286e+02  1.052e+00 
- -1.157e-01  1.052e+00  4.855e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.45683   1.000 -0.446 -0.440
-        2  0.99849  -0.446  1.000  0.998
-        3  0.99848  -0.440  0.998  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [550,1200]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_novo_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_novo_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        1500           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
-[#0] WARNING:Minization -- RooFitGlue: Minimized function has error status.
-Returning maximum FCN so far (13168.6) to force MIGRAD to back out of this region. Error log follows
-Parameter values: par_novo_0=575, par_novo_1=100, par_novo_2=1.58864
-RooNLLVar::nll_f_novo_pred_2[ paramSet=(par_novo_0,par_novo_1,par_novo_2) ]
-     function value is NAN @ paramSet=(par_novo_0 = 575,par_novo_1 = 100,par_novo_2 = 1.58864)
-RooNovosibirsk::f_novo[ x=x width=par_novo_1 peak=par_novo_0 tail=par_novo_2 ]
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=645, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=655, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=665, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=675, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=685, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=695, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=705, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=715, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=725, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=735, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=745, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-     getLogVal() top-level p.d.f evaluates to zero @ x=x=755, width=par_novo_1=100, peak=par_novo_0=575, tail=par_novo_2=1.58864
-    ... (remaining 46 messages suppressed)
-
- FCN=13054.5 FROM MIGRAD    STATUS=INITIATE       14 CALLS          15 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.75000e+02   1.50000e+01   2.01358e-01  -1.22938e+03
-   2  par_novo_1   1.00000e+02   2.00000e+01   2.01358e-01  -6.98326e+03
-   3  par_novo_2   0.00000e+00   2.00000e+01   2.01358e-01   1.51249e+06
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM MIGRAD    STATUS=CONVERGED     220 CALLS         221 TOTAL
-                     EDM=2.09668e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_novo_0   5.00000e+02   1.21837e+02   1.25149e-01  -7.30463e-04
-   2  par_novo_1   1.30637e+02   1.58558e+01   3.16845e-03  -1.76078e-02
-   3  par_novo_2  -6.95187e-01   1.36663e-01   2.61078e-05   1.74080e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.121e-01 -9.460e-01 -6.449e-03 
- -9.460e-01  2.538e+02  2.099e+00 
- -6.449e-03  2.099e+00  1.868e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.21023   1.000 -0.177 -0.141
-        2  0.96488  -0.177  1.000  0.964
-        3  0.96445  -0.141  0.964  1.000
- **********
- **   18 **HESSE        1500
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10865.7 FROM HESSE     STATUS=OK             20 CALLS         241 TOTAL
-                     EDM=1.01397e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_novo_0   5.00000e+02   1.20312e+02   5.00000e-01  -1.57325e+00
-   2  par_novo_1   1.30637e+02   2.01762e+01   1.26738e-04   3.11381e-01
-   3  par_novo_2  -6.95187e-01   1.62575e-01   1.04431e-06  -6.95192e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  3    ERR DEF=0.5
-  1.070e-01 -4.278e+00 -2.995e-02 
- -4.278e+00  4.133e+02  3.212e+00 
- -2.995e-02  3.212e+00  2.643e-02 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3
-        1  0.69436   1.000 -0.643 -0.563
-        2  0.97859  -0.643  1.000  0.972
-        3  0.97501  -0.563  0.972  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_f_crystal_1_pred_2' created with bounds [550,1200]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_f_crystal_1_pred_2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=10877 FROM MIGRAD    STATUS=INITIATE       39 CALLS          40 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   6.33849e-01   5.09000e-01  -8.55460e-01  -1.25390e+02
-   2  par_crystal_1_1   2.55500e+00   5.09000e-01   0.00000e+00  -2.69495e+01
-   3  par_crystal_1_2   5.50000e+02   3.00000e+01   0.00000e+00  -1.44080e+01
-   4  par_crystal_1_3   1.04500e+02   1.91000e+01   0.00000e+00   3.07979e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 1 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 4 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.43469 added to diagonal of error matrix
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -1.5401e+00  8.4221e-02  1.8087e+00  3.6472e+00
- MINUIT WARNING IN MIGRAD  
- ============== MATRIX FORCED POS-DEF BY ADDING 1.543714 TO DIAGONAL.
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=10866.9 FROM HESSE     STATUS=OK             25 CALLS         485 TOTAL
-                     EDM=0.0491336    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.05623e+00   1.52463e-01   1.42446e-03  -1.90900e+00
-   2  par_crystal_1_1   5.09988e+00   3.18944e+00   7.54811e-02  -8.93342e-03
-   3  par_crystal_1_2   4.96280e+02   4.98347e+01   9.02051e-03   3.58498e-02
-   4  par_crystal_1_3   1.89188e+02   2.78069e+01   1.02856e-02  -2.38185e-01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=10866.8 FROM MIGRAD    STATUS=FAILED        538 CALLS         539 TOTAL
-                     EDM=10.0867    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  14.1 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  par_crystal_1_0   1.09723e+00   3.02575e-02  -0.00000e+00   5.47416e+01
-   2  par_crystal_1_1   5.09997e+00   3.18368e+00   0.00000e+00  -3.90351e-03
-   3  par_crystal_1_2   4.83329e+02   2.76558e+01   0.00000e+00   7.05236e+00
-   4  par_crystal_1_3   1.96552e+02   5.80629e+00  -0.00000e+00   4.39990e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  9.156e-04 -1.804e-07 -6.742e-01  1.111e-01 
- -1.804e-07  1.763e-04  7.888e-03 -2.154e-03 
- -6.742e-01  7.888e-03  7.759e+02 -1.463e+02 
-  1.111e-01 -2.154e-03 -1.463e+02  3.432e+01 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.82553   1.000 -0.000 -0.800  0.627
-        2  0.03650  -0.000  1.000  0.021 -0.028
-        3  0.94703  -0.800  0.021  1.000 -0.896
-        4  0.90888   0.627 -0.028 -0.896  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -9.7852e-01  9.9996e-01  1.9836e+00  1.9949e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 0.980510 TO DIAGONAL.
- FCN=10866.8 FROM HESSE     STATUS=NOT POSDEF     29 CALLS         568 TOTAL
-                     EDM=238.514    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE     INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  par_crystal_1_0   1.09723e+00   4.25322e-02   2.54943e-04  -6.09913e-01
-   2  par_crystal_1_1   5.09997e+00   7.84798e-01   8.54763e-02   1.56580e+00
-   3  par_crystal_1_2   4.83329e+02   1.87856e+01   1.76414e-03  -4.60588e-01
-   4  par_crystal_1_3   1.96552e+02   5.33115e+00   2.63738e-03   1.30128e+00
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  1.809e-03 -2.197e-07  8.001e-01  2.280e-01 
- -2.197e-07  1.053e-04 -1.173e-04 -3.665e-05 
-  8.001e-01 -1.173e-04  3.552e+02  1.010e+02 
-  2.280e-01 -3.665e-05  1.010e+02  2.885e+01 
-ERR MATRIX NOT POS-DEF
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.99849   1.000 -0.001  0.998  0.998
-        2  0.00265  -0.001  1.000 -0.001 -0.001
-        3  0.99848   0.998 -0.001  1.000  0.998
-        4  0.99849   0.998 -0.001  0.998  1.000
- ERR MATRIX NOT POS-DEF
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) only plotting range 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_gaus_exp) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_gaus_exp_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_gaus_exp_Int[x|fit_nll_f_gaus_exp_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) only plotting range 'fit_nll_f_crystal_pred_1'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_pred_1'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_Int[x|fit_nll_f_crystal_pred_1]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) only plotting range 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_crystal_1) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_crystal_1_pred_2'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(f_crystal_1_Int[x|fit_nll_f_crystal_1_pred_2]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) only plotting range 'fit_nll_f_novo_pred_2'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(f_novo) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_f_novo_pred_2'
-35.9 fb^{-1} (13 TeV)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_gaus_exp_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_novo_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(data_obs_crystal_1_550_1200): fit range of variable x expanded to nearest bin boundaries: [550,1200] --> [550,1200]
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_3
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_gaus_exp_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing GaussExp::f_gaus_exp
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_gaus_exp_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_novo_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooNovosibirsk::f_novo
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_novo_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing dataset data_obs_crystal_1_550_1200
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RevCrystalBall::f_crystal_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::par_crystal_1_3
- === RooFit data fit result to be entered in datacard === 
- Background number of crystal_550_1200 = 1266.17
- Background number of gaus_exp_550_1200 = 1266.17
- Background number of novo_550_1200 = 1266.17
- Background number of crystal_1_550_1200 = 1266.17
- Background number of gaus_bern_550_1200 = 1266.17
- Background number of landau_550_1200 = 1266.17
-par_crystal_0   param   1.11079 0.0431984
-par_crystal_1   param   5.08061 3.28337
-par_crystal_2   param   476.04 8.02153
-par_crystal_3   param   199.914 22.6294
-par_crystal_1_0   param   1.09723 0.0425322
-par_crystal_1_1   param   5.09997 0.784798
-par_crystal_1_2   param   483.329 18.7856
-par_crystal_1_3   param   196.552 5.33115
-par_gaus_exp_0   param   562.504 3.77274
-par_gaus_exp_1   param   24.6552 14.6349
-par_gaus_exp_2   param   0.114604 0.0693856
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
deleted file mode 100644
index 9e2abbe..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-imax 1 number of channels
-jmax * number of backgrounds
-kmax * number of systematic uncertainty sources
-----------
-shapes signal     HbbHbb w_signal_900.root      HbbHbb:signal_fixed
-shapes background HbbHbb w_background_novo_550_1200.root      HbbHbb:f_novo
-shapes data_obs   HbbHbb w_background_novo_550_1200.root      HbbHbb:data_obs_novo_550_1200
-----------
-## Observation
-bin                     HbbHbb
-observation             -1
-----------
-bin                   HbbHbb          HbbHbb
-process               signal      background
-process               0           1
-rate                  4.64156 1266.17
-lumi_13TeV  lnN   1.026       -     
-bTag      lnN     1.0799    -
-JER       lnN     1.01164   - 
-JEC       lnN     1.00857   -
-trigger   lnN     1.10    -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
-par_novo_0   param   500 120.312
-par_novo_1   param   130.637 20.1762
-par_novo_2   param   -0.695187 0.162575
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/signal900_sig.log b/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/signal900_sig.log
deleted file mode 100644
index d4cc812..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/5GeV/MMR_900_novo_550_1200/signal900_sig.log
+++ /dev/null
@@ -1,985 +0,0 @@
-
-Processing test.c...
-nSignal_init = 100000
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33664.2 FROM MIGRAD    STATUS=INITIATE       54 CALLS          55 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.87024e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   1.70564e+01
-   3  sg_p2        8.67563e-01   5.00000e-01   0.00000e+00   3.77923e+02
-   4  sg_p3        1.75058e+00   7.00000e-01  -5.23409e-01  -9.51811e+01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 3 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.14138 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             27 CALLS         373 TOTAL
-                     EDM=0.00332624    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18636e-01   1.26596e-03   7.76547e-02
-   2  sg_p1        4.38895e+01   5.43360e-01   3.99187e-03   5.04266e-02
-   3  sg_p2        2.61266e+00   9.39365e-01   6.28602e-02  -2.11368e-01
-   4  sg_p3        1.68218e+00   9.36801e-02   3.16921e-03   5.53803e-02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33371.1 FROM MIGRAD    STATUS=CONVERGED     386 CALLS         387 TOTAL
-                     EDM=8.86352e-09    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.87145e+02   6.18635e-01   1.67624e-06  -3.95438e-03
-   2  sg_p1        4.38881e+01   5.43356e-01  -9.98687e-05  -6.98133e-04
-   3  sg_p2        2.69108e+00   9.37644e-01   3.14301e-02  -2.30056e-05
-   4  sg_p3        1.68195e+00   9.36715e-02  -7.67431e-05  -4.02566e-03
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.827e-01 -6.502e-02 -5.811e-05 -2.090e-02 
- -6.502e-02  2.954e-01  5.476e-04  2.735e-02 
- -5.811e-05  5.476e-04  9.241e-01  1.376e-04 
- -2.090e-02  2.735e-02  1.376e-04  8.777e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36054   1.000 -0.193 -0.000 -0.361
-        2  0.53708  -0.193  1.000  0.001  0.537
-        3  0.00163  -0.000  0.001  1.000  0.002
-        4  0.59741  -0.361  0.537  0.002  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33371.1 FROM HESSE     STATUS=OK             29 CALLS         416 TOTAL
-                     EDM=5.60701e-07    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.87145e+02   6.19206e-01   1.26598e-03   2.89787e-01
-   2  sg_p1        4.38881e+01   5.44560e-01   1.59675e-03   2.62200e-01
-   3  sg_p2        2.69108e+00   3.66223e+00   4.86437e-02   7.65081e-02
-   4  sg_p3        1.68195e+00   9.38964e-02   1.26768e-03  -5.46198e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.834e-01 -6.608e-02  9.504e-07 -2.110e-02 
- -6.608e-02  2.967e-01  4.698e-06  2.763e-02 
-  9.504e-07  4.698e-06  6.569e+03  3.565e-07 
- -2.110e-02  2.763e-02  3.565e-07  8.819e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.36280   1.000 -0.196  0.000 -0.363
-        2  0.54009  -0.196  1.000  0.000  0.540
-        3  0.00000   0.000  0.000  1.000  0.000
-        4  0.60032  -0.363  0.540  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-887.145 +- 0.619206
-43.8881 +- 0.54456
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33829.5 FROM MIGRAD    STATUS=INITIATE       40 CALLS          41 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.37162e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   7.33519e+01
-   3  sg_p2        5.87771e-01   5.00000e-01  -8.70873e-01   9.57906e+01
-   4  sg_p3        3.50000e+00   7.00000e-01   0.00000e+00  -3.46120e-01
-                               ERR DEF= 0.5
- MINUIT WARNING IN MIGRAD  
- ============== Negative diagonal element 2 in Error Matrix
- MINUIT WARNING IN MIGRAD  
- ============== 1.00007 added to diagonal of error matrix
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             25 CALLS         331 TOTAL
-                     EDM=0.315109    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91582e+02   6.17824e-01   1.32224e-03  -7.77130e-01
-   2  sg_p1        4.40907e+01   5.43395e-01   4.14838e-03   2.19978e+00
-   3  sg_p2        2.59937e+00   4.57998e-01   2.91245e-01  -4.28319e+00
-   4  sg_p3        1.56794e+00   6.89875e-02   2.49674e-03  -3.53414e-01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- FCN=33473.2 FROM MIGRAD    STATUS=CONVERGED     344 CALLS         345 TOTAL
-                     EDM=1.81644e-07    STRATEGY= 1  ERROR MATRIX UNCERTAINTY   0.0 per cent
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.91593e+02   6.17785e-01   1.97446e-04  -3.22562e-02
-   2  sg_p1        4.40472e+01   5.43856e-01  -3.01296e-03  -7.86524e-03
-   3  sg_p2        2.96080e+00   4.50508e-01   1.45623e-01   0.00000e+00
-   4  sg_p3        1.56553e+00   6.89514e-02  -8.25067e-04   1.93280e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.817e-01 -4.853e-02  1.606e-04 -1.348e-02 
- -4.853e-02  2.959e-01  6.495e-06  1.836e-02 
-  1.606e-04  6.495e-06  2.053e-01 -1.663e-05 
- -1.348e-02  1.836e-02 -1.663e-05  4.755e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.31670   1.000 -0.144  0.001 -0.316
-        2  0.48950  -0.144  1.000  0.000  0.489
-        3  0.00076   0.001  0.000  1.000 -0.001
-        4  0.54881  -0.316  0.489 -0.001  1.000
- **********
- **   18 **HESSE        2000
- **********
- MINUIT WARNING IN HESSE
- ============== Second derivative enters zero, param 3
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=33473.2 FROM HESSE     STATUS=OK             31 CALLS         376 TOTAL
-                     EDM=1.33661    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.91593e+02   6.18180e-01   1.32251e-03   3.68142e-01
-   2  sg_p1        4.40472e+01   5.43127e-01   4.14931e-03   2.73201e-01
-   3  sg_p2        2.96080e+00   5.37583e-01   5.10000e-01   1.85380e-01
-   4  sg_p3        1.56553e+00   6.89873e-02   9.98698e-04  -5.85607e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.822e-01 -4.972e-02 -6.585e-12 -1.366e-02 
- -4.972e-02  2.951e-01  2.406e-12  1.846e-02 
- -6.585e-12  2.406e-12  2.937e-01  2.262e-12 
- -1.366e-02  1.846e-02  2.262e-12  4.760e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.32056   1.000 -0.148 -0.000 -0.320
-        2  0.49249  -0.148  1.000  0.000  0.492
-        3  0.00000  -0.000  0.000  1.000  0.000
-        4  0.55232  -0.320  0.492  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-891.593 +- 0.61818
-44.0472 +- 0.543127
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [620,1100] --> [620,1100]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [620,1100]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [720,1000]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=33025.6 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.70000e+02   1.20000e+01   0.00000e+00  -1.21902e+03
-   2  sg_p1        4.00000e+01   3.00000e+00   0.00000e+00   3.56266e+01
-   3  sg_p2        8.48797e-01   5.00000e-01   0.00000e+00   8.71721e+00
-   4  sg_p3        1.96916e+00   7.00000e-01  -4.52685e-01   1.33827e+01
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             31 CALLS         284 TOTAL
-                     EDM=0.000111741    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83274e+02   5.75489e-01   1.22716e-03   3.79802e-02
-   2  sg_p1        4.40176e+01   4.49467e-01   3.85966e-03  -7.57641e-02
-   3  sg_p2        2.44289e+00   2.23488e-01   1.00126e-02   8.24918e-02
-   4  sg_p3        1.81465e+00   3.14767e-02   3.33332e-03   1.27746e+00
-                               ERR DEF= 0.5
- MIGRAD FAILS TO FIND IMPROVEMENT
- MIGRAD TERMINATED WITHOUT CONVERGENCE.
- FCN=32836 FROM MIGRAD    STATUS=FAILED        321 CALLS         322 TOTAL
-                     EDM=0.034586    STRATEGY= 1  ERROR MATRIX UNCERTAINTY  18.3 per cent
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        8.83276e+02   5.73266e-01  -0.00000e+00   5.01334e-02
-   2  sg_p1        4.40177e+01   4.48511e-01   0.00000e+00   1.03605e-01
-   3  sg_p2        2.44263e+00   1.46331e-01  -0.00000e+00  -1.44978e-01
-   4  sg_p3        1.81329e+00   9.50131e-03   0.00000e+00  -1.27604e+01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.286e-01  1.600e-03 -3.893e-03 -4.127e-05 
-  1.600e-03  2.012e-01  2.014e-03  3.934e-04 
- -3.893e-03  2.014e-03  2.144e-02 -5.698e-04 
- -4.127e-05  3.934e-04 -5.698e-04  9.028e-05 
-ERR MATRIX APPROXIMATE
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.05588   1.000  0.006 -0.046 -0.008
-        2  0.11947   0.006  1.000  0.031  0.092
-        3  0.41831  -0.046  0.031  1.000 -0.410
-        4  0.42369  -0.008  0.092 -0.410  1.000
- ERR MATRIX APPROXIMATE
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=32836 FROM HESSE     STATUS=OK             29 CALLS         351 TOTAL
-                     EDM=0.000104468    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        8.83276e+02   5.75584e-01   1.22738e-03   2.23108e-01
-   2  sg_p1        4.40177e+01   4.49699e-01   3.86131e-03   2.71159e-01
-   3  sg_p2        2.44263e+00   2.24450e-01   1.04348e-02  -2.29498e-02
-   4  sg_p3        1.81329e+00   3.18671e-02   3.32746e-03  -5.02843e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.313e-01 -1.034e-03 -3.993e-04 -1.393e-03 
- -1.034e-03  2.023e-01 -9.138e-05  1.874e-03 
- -3.993e-04 -9.138e-05  5.051e-02  1.806e-06 
- -1.393e-03  1.874e-03  1.806e-06  1.016e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.07626   1.000 -0.004 -0.003 -0.076
-        2  0.13085  -0.004  1.000 -0.001  0.131
-        3  0.00322  -0.003 -0.001  1.000  0.000
-        4  0.15092  -0.076  0.131  0.000  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-883.276 +- 0.575584
-44.0177 +- 0.449699
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31847.2 FROM MIGRAD    STATUS=INITIATE       55 CALLS          56 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.15004e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.07919e+02
-   3  sg_p2        1.34843e+00   5.00000e-01   0.00000e+00   1.01663e+02
-   4  sg_p3        1.18098e+00   7.00000e-01  -7.24255e-01  -8.67138e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM MIGRAD    STATUS=CONVERGED     191 CALLS         192 TOTAL
-                     EDM=1.8133e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14708e+02   6.08444e-01   1.29613e-03   1.05815e-01
-   2  sg_p1        3.02451e+01   5.68219e-01   5.56289e-03   1.74811e-02
-   3  sg_p2        2.07933e+00   1.35380e-01   6.08573e-03   1.51761e-02
-   4  sg_p3        1.21527e+00   6.15917e-02   1.48479e-03   1.57009e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.702e-01 -2.155e-01 -1.002e-02 -2.676e-02 
- -2.155e-01  3.236e-01  3.008e-02  2.846e-02 
- -1.002e-02  3.008e-02  1.835e-02  2.403e-03 
- -2.676e-02  2.846e-02  2.403e-03  3.794e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.72659   1.000 -0.623 -0.122 -0.714
-        2  0.83258  -0.623  1.000  0.390  0.812
-        3  0.42083  -0.122  0.390  1.000  0.288
-        4  0.85489  -0.714  0.812  0.288  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31775.1 FROM HESSE     STATUS=OK             23 CALLS         215 TOTAL
-                     EDM=2.07761e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14708e+02   6.37633e-01   5.18452e-05   1.17968e-01
-   2  sg_p1        3.02451e+01   6.04034e-01   2.22516e-04   3.74720e-01
-   3  sg_p2        2.07933e+00   1.39479e-01   2.43429e-04  -1.69071e-01
-   4  sg_p3        1.21527e+00   6.62844e-02   5.93916e-05  -7.11249e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.066e-01 -2.540e-01 -1.389e-02 -3.139e-02 
- -2.540e-01  3.658e-01  3.536e-02  3.345e-02 
- -1.389e-02  3.536e-02  1.948e-02  2.966e-03 
- -3.139e-02  3.345e-02  2.966e-03  4.395e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75434   1.000 -0.659 -0.156 -0.743
-        2  0.85324  -0.659  1.000  0.419  0.834
-        3  0.44886  -0.156  0.419  1.000  0.321
-        4  0.87300  -0.743  0.834  0.321  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.708 +- 0.637633
-30.2451 +- 0.604034
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing ExpGaussExp::signal_fixed
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::x
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p0
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p1
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p2
-[#1] INFO:ObjectHandling -- RooWorkspace::import(HbbHbb) importing RooRealVar::signal_p3
- fit done 
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=32076.3 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -9.42825e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.66341e+02
-   3  sg_p2        1.24756e+00   5.00000e-01   0.00000e+00   1.32032e+02
-   4  sg_p3        1.51475e+00   7.00000e-01  -6.03120e-01   6.41643e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- EIGENVALUES OF SECOND-DERIVATIVE MATRIX:
-        -2.2508e+00  8.3406e-01  1.1303e+00  4.2864e+00
- MINUIT WARNING IN HESSE   
- ============== MATRIX FORCED POS-DEF BY ADDING 2.255047 TO DIAGONAL.
- FCN=31897 FROM HESSE     STATUS=NOT POSDEF     27 CALLS         293 TOTAL
-                     EDM=0.00241152    STRATEGY= 1      ERR MATRIX NOT POS-DEF
-  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   6.95098e-01   1.30051e-03   1.46076e-01
-   2  sg_p1        3.03755e+01   3.97597e-01   5.52810e-03   7.58612e-03
-   3  sg_p2        2.27801e+00   1.55888e+00   7.81545e-03   6.54139e-02
-   4  sg_p3        1.17081e+00   2.99817e-01   1.31225e-03   1.00535e+00
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM MIGRAD    STATUS=CONVERGED     328 CALLS         329 TOTAL
-                     EDM=0.000214971    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.17231e+02   4.88559e-01   1.30052e-03   3.06873e-02
-   2  sg_p1        3.03754e+01   4.10963e-01   2.21124e-03   2.67746e-02
-   3  sg_p2        2.27858e+00   1.68057e-01   3.12618e-03   1.19850e-01
-   4  sg_p3        1.17071e+00   3.83284e-02   1.31215e-03   6.94100e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.387e-01 -8.067e-02  2.183e-04 -9.547e-03 
- -8.067e-02  1.691e-01  1.601e-02  9.908e-03 
-  2.183e-04  1.601e-02  2.829e-02  8.281e-04 
- -9.547e-03  9.908e-03  8.281e-04  1.469e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52820   1.000 -0.402  0.003 -0.510
-        2  0.65548  -0.402  1.000  0.231  0.629
-        3  0.25444   0.003  0.231  1.000  0.128
-        4  0.68871  -0.510  0.629  0.128  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31897 FROM HESSE     STATUS=OK             23 CALLS         352 TOTAL
-                     EDM=0.000216668    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.17231e+02   4.89066e-01   5.20206e-05   1.81768e-01
-   2  sg_p1        3.03754e+01   4.11848e-01   4.42248e-04   3.93462e-01
-   3  sg_p2        2.27858e+00   1.68511e-01   6.25236e-04  -8.86838e-02
-   4  sg_p3        1.17071e+00   3.83872e-02   2.62429e-04  -7.28178e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.392e-01 -8.128e-02  1.943e-04 -9.592e-03 
- -8.128e-02  1.698e-01  1.629e-02  9.968e-03 
-  1.943e-04  1.629e-02  2.844e-02  8.443e-04 
- -9.592e-03  9.968e-03  8.443e-04  1.474e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.52961   1.000 -0.403  0.002 -0.511
-        2  0.65734  -0.403  1.000  0.234  0.630
-        3  0.25774   0.002  0.234  1.000  0.130
-        4  0.68988  -0.511  0.630  0.130  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-917.231 +- 0.489066
-30.3754 +- 0.411848
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31270.8 FROM MIGRAD    STATUS=INITIATE       78 CALLS          79 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.11670e+02   8.00000e+00   4.17695e-02   1.48625e+01
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.41145e+02
-   3  sg_p2        1.45615e+00   5.00000e-01   0.00000e+00  -1.80733e+01
-   4  sg_p3        1.27355e+00   7.00000e-01   0.00000e+00   5.00168e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM MIGRAD    STATUS=CONVERGED     201 CALLS         202 TOTAL
-                     EDM=1.00647e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.12666e+02   5.93671e-01   1.27735e-03   2.63765e-02
-   2  sg_p1        2.96697e+01   6.13867e-01   5.39370e-03   1.70034e-02
-   3  sg_p2        1.86746e+00   1.16178e-01   4.79471e-03   1.24233e-02
-   4  sg_p3        1.20141e+00   6.21896e-02   1.45289e-03   7.47047e-02
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.525e-01 -2.113e-01 -9.800e-03 -2.540e-02 
- -2.113e-01  3.778e-01  3.879e-02  3.144e-02 
- -9.800e-03  3.879e-02  1.351e-02  2.946e-03 
- -2.540e-02  3.144e-02  2.946e-03  3.868e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71041   1.000 -0.579 -0.142 -0.688
-        2  0.85591  -0.579  1.000  0.543  0.822
-        3  0.58356  -0.142  0.543  1.000  0.408
-        4  0.86266  -0.688  0.822  0.408  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31241.1 FROM HESSE     STATUS=OK             23 CALLS         225 TOTAL
-                     EDM=1.03715e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.12666e+02   5.96901e-01   2.55470e-04   6.66929e-02
-   2  sg_p1        2.96697e+01   6.22112e-01   2.15748e-04   2.93491e-01
-   3  sg_p2        1.86746e+00   1.17183e-01   1.91788e-04  -2.55796e-01
-   4  sg_p3        1.20141e+00   6.28752e-02   5.81156e-05  -7.16489e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.563e-01 -2.172e-01 -1.053e-02 -2.596e-02 
- -2.172e-01  3.880e-01  4.037e-02  3.237e-02 
- -1.053e-02  4.037e-02  1.374e-02  3.084e-03 
- -2.596e-02  3.237e-02  3.084e-03  3.954e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.71417   1.000 -0.584 -0.151 -0.692
-        2  0.86002  -0.584  1.000  0.553  0.827
-        3  0.59309  -0.151  0.553  1.000  0.418
-        4  0.86587  -0.692  0.827  0.418  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-912.666 +- 0.596901
-29.6697 +- 0.622112
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31402.8 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -6.41887e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.32609e+02
-   3  sg_p2        1.21873e+00   5.00000e-01   0.00000e+00   2.82004e+01
-   4  sg_p3        1.29003e+00   7.00000e-01  -6.83382e-01   3.00498e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM MIGRAD    STATUS=CONVERGED     202 CALLS         203 TOTAL
-                     EDM=9.20948e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14895e+02   5.51583e-01   1.31460e-03   1.61689e-01
-   2  sg_p1        3.03350e+01   7.44882e-01   5.76073e-03  -3.27245e-02
-   3  sg_p2        1.86472e+00   2.01246e-01   6.02311e-03  -3.75996e-03
-   4  sg_p3        1.20817e+00   6.26611e-02   1.44547e-03   2.50672e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.043e-01 -1.559e-01 -6.728e-03 -1.871e-02 
- -1.559e-01  5.570e-01  1.146e-01  3.885e-02 
- -6.728e-03  1.146e-01  4.059e-02  7.410e-03 
- -1.871e-02  3.885e-02  7.410e-03  3.927e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63293   1.000 -0.379 -0.061 -0.541
-        2  0.89852  -0.379  1.000  0.762  0.831
-        3  0.80154  -0.061  0.762  1.000  0.587
-        4  0.86629  -0.541  0.831  0.587  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31327.2 FROM HESSE     STATUS=OK             23 CALLS         226 TOTAL
-                     EDM=9.24142e-06    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14895e+02   5.53867e-01   2.62920e-04   1.22682e-01
-   2  sg_p1        3.03350e+01   7.70523e-01   2.30429e-04   3.87633e-01
-   3  sg_p2        1.86472e+00   2.07594e-01   2.40925e-04  -2.56930e-01
-   4  sg_p3        1.20817e+00   6.42645e-02   5.78186e-05  -7.13930e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  3.068e-01 -1.637e-01 -8.469e-03 -1.930e-02 
- -1.637e-01  5.962e-01  1.248e-01  4.167e-02 
- -8.469e-03  1.248e-01  4.320e-02  8.128e-03 
- -1.930e-02  4.167e-02  8.128e-03  4.131e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.63682   1.000 -0.383 -0.074 -0.542
-        2  0.90554  -0.383  1.000  0.777  0.840
-        3  0.81484  -0.074  0.777  1.000  0.608
-        4  0.87336  -0.542  0.840  0.608  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.895 +- 0.553867
-30.335 +- 0.770523
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=31997 FROM MIGRAD    STATUS=INITIATE       59 CALLS          60 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.37823e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -7.64703e+01
-   3  sg_p2        1.30597e+00   5.00000e-01   0.00000e+00  -1.46520e+01
-   4  sg_p3        1.20892e+00   7.00000e-01  -7.13644e-01   4.56011e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM MIGRAD    STATUS=CONVERGED     187 CALLS         188 TOTAL
-                     EDM=0.000455256    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14847e+02   4.88994e-01   1.26432e-03   4.89756e-01
-   2  sg_p1        2.93287e+01   6.86296e-01   5.26048e-03   5.85295e-02
-   3  sg_p2        1.92235e+00   2.48995e-01   6.70981e-03   1.75003e-01
-   4  sg_p3        1.17091e+00   4.94270e-02   1.31942e-03  -2.75253e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.391e-01 -5.711e-02  1.273e-02 -9.083e-03 
- -5.711e-02  4.724e-01  1.369e-01  2.673e-02 
-  1.273e-02  1.369e-01  6.222e-02  7.189e-03 
- -9.083e-03  2.673e-02  7.189e-03  2.443e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55484   1.000 -0.170  0.104 -0.376
-        2  0.89241  -0.170  1.000  0.799  0.787
-        3  0.83537   0.104  0.799  1.000  0.583
-        4  0.82462  -0.376  0.787  0.583  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=31928.6 FROM HESSE     STATUS=OK             29 CALLS         217 TOTAL
-                     EDM=0.000126642    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14847e+02   4.87177e-01   2.52865e-04   1.21475e-01
-   2  sg_p1        2.93287e+01   4.44229e-01   2.10419e-04   2.46308e-01
-   3  sg_p2        1.92235e+00   1.10134e-01   2.00630e-01  -2.33169e-01
-   4  sg_p3        1.17091e+00   4.11749e-02   5.27768e-05  -7.28101e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.374e-01 -8.558e-02  4.043e-04 -1.061e-02 
- -8.558e-02  1.976e-01  1.759e-02  1.238e-02 
-  4.043e-04  1.759e-02  1.214e-02  9.448e-04 
- -1.061e-02  1.238e-02  9.448e-04  1.696e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.55015   1.000 -0.395  0.008 -0.529
-        2  0.71638  -0.395  1.000  0.359  0.676
-        3  0.39465   0.008  0.359  1.000  0.208
-        4  0.73407  -0.529  0.676  0.208  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.847 +- 0.487177
-29.3287 +- 0.444229
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=29376.3 FROM MIGRAD    STATUS=INITIATE       53 CALLS          54 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -8.21334e+02
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -1.14912e+02
-   3  sg_p2        1.36391e+00   5.00000e-01   0.00000e+00   1.01339e+02
-   4  sg_p3        1.20442e+00   7.00000e-01  -7.15346e-01   5.08593e+01
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM MIGRAD    STATUS=CONVERGED     194 CALLS         195 TOTAL
-                     EDM=0.000205755    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14660e+02   4.99096e-01   1.29653e-03  -5.11216e-02
-   2  sg_p1        3.02540e+01   3.59225e-01   5.55826e-03   5.44144e-02
-   3  sg_p2        2.08275e+00   1.37518e-01   6.20642e-03   1.37624e-01
-   4  sg_p3        1.21801e+00   3.97286e-02   1.50718e-03  -6.59977e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.491e-01  5.789e-03  1.174e-02 -9.048e-03 
-  5.789e-03  1.292e-01  1.502e-02 -3.879e-03 
-  1.174e-02  1.502e-02  1.893e-02 -7.314e-04 
- -9.048e-03 -3.879e-03 -7.314e-04  1.578e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.48768   1.000  0.032  0.171 -0.456
-        2  0.40688   0.032  1.000  0.304 -0.272
-        3  0.34471   0.171  0.304  1.000 -0.134
-        4  0.52420  -0.456 -0.272 -0.134  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=29309.7 FROM HESSE     STATUS=OK             23 CALLS         218 TOTAL
-                     EDM=0.000176487    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14660e+02   6.63602e-01   2.59307e-04   1.16777e-01
-   2  sg_p1        3.02540e+01   6.28299e-01   2.22330e-04   3.75996e-01
-   3  sg_p2        2.08275e+00   1.45711e-01   2.48257e-04  -1.67686e-01
-   4  sg_p3        1.21801e+00   6.93582e-02   3.01436e-04  -7.10215e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  4.404e-01 -2.750e-01 -1.507e-02 -3.419e-02 
- -2.750e-01  3.958e-01  3.829e-02  3.641e-02 
- -1.507e-02  3.829e-02  2.126e-02  3.230e-03 
- -3.419e-02  3.641e-02  3.230e-03  4.812e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.75425   1.000 -0.659 -0.156 -0.743
-        2  0.85307  -0.659  1.000  0.417  0.834
-        3  0.44715  -0.156  0.417  1.000  0.319
-        4  0.87298  -0.743  0.834  0.319  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.66 +- 0.663602
-30.254 +- 0.628299
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:DataHandling -- RooDataHist::adjustBinning(signalHistogram): fit range of variable x expanded to nearest bin boundaries: [650,1130] --> [650,1130]
-[#0] WARNING:InputArguments -- RooAbsPdf::fitTo(signal) WARNING: a likelihood fit is request of what appears to be weighted data. 
-       While the estimated values of the parameters will always be calculated taking the weights into account, 
-       there are multiple ways to estimate the errors on these parameter values. You are advised to make an 
-       explicit choice on the error calculation: 
-           - Either provide SumW2Error(kTRUE), to calculate a sum-of-weights corrected HESSE error matrix 
-             (error will be proportional to the number of events)
-           - Or provide SumW2Error(kFALSE), to return errors from original HESSE error matrix
-             (which will be proportional to the sum of the weights)
-       If you want the errors to reflect the information contained in the provided dataset, choose kTRUE. 
-       If you want the errors to reflect the precision you would be able to obtain with an unweighted dataset 
-       with 'sum-of-weights' events, choose kFALSE.
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) constructing test statistic for sub-range named fit
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForfit' created with bounds [650,1130]
-[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_signal_signalHistogram' created with bounds [750,1030]
-[#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_signal_signalHistogram) fixing interpretation of coefficients of any RooAddPdf to full domain of observables 
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:Minization -- RooMinuit::optimizeConst: activating const optimization
- **********
- **   13 **MIGRAD        2000           1
- **********
- FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
- START MIGRAD MINIMIZATION.  STRATEGY  1.  CONVERGENCE WHEN EDM .LT. 1.00e-03
- FCN=34491.6 FROM MIGRAD    STATUS=INITIATE       56 CALLS          57 TOTAL
-                     EDM= unknown      STRATEGY= 1      NO ERROR MATRIX       
-  EXT PARAMETER               CURRENT GUESS       STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.10000e+02   8.00000e+00   0.00000e+00  -1.23996e+03
-   2  sg_p1        2.75000e+01   1.50000e+00   0.00000e+00  -2.14064e+01
-   3  sg_p2        1.33344e+00   5.00000e-01   0.00000e+00   1.23543e+02
-   4  sg_p3        1.01604e+00   7.00000e-01  -7.89075e-01  -7.54461e+02
-                               ERR DEF= 0.5
- MIGRAD MINIMIZATION HAS CONVERGED.
- MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM MIGRAD    STATUS=CONVERGED     188 CALLS         189 TOTAL
-                     EDM=1.48214e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                   STEP         FIRST   
-  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
-   1  sg_p0        9.14750e+02   5.25007e-01   1.29029e-03   2.37283e-01
-   2  sg_p1        3.02408e+01   4.81625e-01   5.53748e-03  -1.27642e-02
-   3  sg_p2        2.07745e+00   1.27929e-01   6.14558e-03   4.69647e-02
-   4  sg_p3        1.21295e+00   5.03011e-02   1.45362e-03   1.82273e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.756e-01 -1.325e-01 -3.877e-03 -1.666e-02 
- -1.325e-01  2.323e-01  2.235e-02  1.825e-02 
- -3.877e-03  2.235e-02  1.638e-02  1.568e-03 
- -1.666e-02  1.825e-02  1.568e-03  2.531e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64731   1.000 -0.523 -0.058 -0.631
-        2  0.77971  -0.523  1.000  0.362  0.753
-        3  0.39469  -0.058  0.362  1.000  0.244
-        4  0.80244  -0.631  0.753  0.244  1.000
- **********
- **   18 **HESSE        2000
- **********
- COVARIANCE MATRIX CALCULATED SUCCESSFULLY
- FCN=34391.1 FROM HESSE     STATUS=OK             23 CALLS         212 TOTAL
-                     EDM=1.52019e-05    STRATEGY= 1      ERROR MATRIX ACCURATE 
-  EXT PARAMETER                                INTERNAL      INTERNAL  
-  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
-   1  sg_p0        9.14750e+02   5.22645e-01   2.58059e-04   1.19022e-01
-   2  sg_p1        3.02408e+01   4.78916e-01   2.21499e-04   3.74107e-01
-   3  sg_p2        2.07745e+00   1.30836e-01   2.45823e-04  -1.69835e-01
-   4  sg_p3        1.21295e+00   4.98205e-02   5.81447e-05  -7.12123e-01
-                               ERR DEF= 0.5
- EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  4    ERR DEF=0.5
-  2.732e-01 -1.292e-01 -3.790e-03 -1.629e-02 
- -1.292e-01  2.297e-01  2.340e-02  1.784e-02 
- -3.790e-03  2.340e-02  1.713e-02  1.620e-03 
- -1.629e-02  1.784e-02  1.620e-03  2.482e-03 
- PARAMETER  CORRELATION COEFFICIENTS  
-       NO.  GLOBAL      1      2      3      4
-        1  0.64323   1.000 -0.516 -0.055 -0.626
-        2  0.77685  -0.516  1.000  0.373  0.747
-        3  0.40646  -0.055  0.373  1.000  0.248
-        4  0.79826  -0.626  0.747  0.248  1.000
-[#1] INFO:Minization -- RooMinuit::optimizeConst: deactivating const optimization
-900
-914.75 +- 0.522645
-30.2408 +- 0.478916
-[#1] INFO:InputArguments -- RooAbsData::plotOn(signalHistogram) INFO: dataset has non-integer weights, auto-selecting SumW2 errors instead of Poisson errors
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f was fitted in range and no explicit plot,norm range was specified, using fit range as default
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) only plotting range 'fit_nll_signal_signalHistogram'
-[#1] INFO:Plotting -- RooAbsPdf::plotOn(signal) p.d.f. curve is normalized using explicit choice of ranges 'fit_nll_signal_signalHistogram'
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-[#1] INFO:NumericIntegration -- RooRealIntegral::init(signal_Int[x|fit_nll_signal_signalHistogram]_Norm[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
-35.9 fb^{-1} (13 TeV)
-   Uncertainty on sg_p0 = 914.708 +- 0.637633 (stat) - 2.04205 + 2.52294 (syst); -2.06678/+2.54301 (total)
-   Uncertainty on sg_p1 = 30.2451 +- 0.604034 (stat) - 0.916401 + 0.130325 (syst); -0.964886/+0.328936 (total)
-   Uncertainty on sg_p2 = 2.07933 +- 0.139479 (stat) - 0.214614 + 0.199247 (syst); -0.225661/+0.2111 (total)
-   Uncertainty on sg_p3 = 1.21527 +- 0.0662844 (stat) - 0.0445565 + 0.00274258 (syst); -0.055531/+0.0332555 (total)
-   === Baseline plot === </br>
-   norm = 232.078
-JEC     lnN   1.00857  -
-JER     lnN   1.01164  -
-btag    lnN   1.0799  -
-sg_p0   param   914.708 -2.06678/+2.54301
-sg_p1   param   30.2451 -0.964886/+0.328936
-sg_p2   param   2.07933  -0.225661/+0.2111
-sg_p3   param   1.21527  -0.055531/+0.0332555
diff --git a/PreselectedWithRegressionDeepCSV/limits/MMR/draw_limits.c b/PreselectedWithRegressionDeepCSV/limits/MMR/draw_limits.c
deleted file mode 100644
index 0895dcf..0000000
--- a/PreselectedWithRegressionDeepCSV/limits/MMR/draw_limits.c
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  //std::vector<double> masses={550, 600,650, 750, 800,  900,1000}; 
-  std::vector<double> masses={550, 570, 600, 620, 650, 670, 700, 720, 750, 770, 800, 820, 840, 860, 880, 900, 920, 940, 960, 980, 1000};
-  gROOT->LoadMacro("DrawLimitPlot.cc++");
-  DrawLimitPlot(masses, 1, 1e4, "novo_550_1200", 1);
-}
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/.nfs000000300a163622000004a4 b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/.nfs000000300a163622000004a4
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/.nfs000000300a163622000004a4
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/.nfs000000300a163622000004a4
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_285_gaus_exp_250_330/datacard_285_gaus_exp_250_330.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_285_novo_285_625/datacard_285_novo_285_625.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
similarity index 100%
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rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
similarity index 100%
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rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
similarity index 100%
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rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt
similarity index 100%
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rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_graviton/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_graviton/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/CMS_HH4b_260_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/CMS_HH4b_265_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_265_gaus_exp_250_330/datacard_265_gaus_exp_250_330.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/CMS_HH4b_270_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/CMS_HH4b_275_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_275_gaus_exp_250_330/datacard_275_gaus_exp_250_330.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_275_novo_285_625/datacard_275_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/CMS_HH4b_280_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_280_gaus_exp_250_330/datacard_280_gaus_exp_250_330.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_280_novo_285_625/datacard_280_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_285_gaus_exp_250_330/CMS_HH4b_285_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/CMS_HH4b_290_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/datacard_290_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_290_gaus_exp_250_330/datacard_290_gaus_exp_250_330.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_290_novo_285_625/CMS_HH4b_290_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_290_novo_285_625/datacard_290_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_290_novo_285_625/datacard_290_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/CMS_HH4b_295_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/datacard_295_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_295_gaus_exp_250_330/datacard_295_gaus_exp_250_330.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_295_novo_285_625/CMS_HH4b_295_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_295_novo_285_625/datacard_295_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_295_novo_285_625/datacard_295_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/CMS_HH4b_300_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_300_novo_285_625/CMS_HH4b_300_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_300_novo_285_625/datacard_300_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_300_novo_285_625/datacard_300_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/CMS_HH4b_310_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/datacard_310_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_310_gaus_exp_250_330/datacard_310_gaus_exp_250_330.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_310_novo_285_625/CMS_HH4b_310_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_320_gaus_exp_250_330/CMS_HH4b_320_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_320_novo_285_625/CMS_HH4b_320_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_320_novo_285_625/datacard_320_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_320_novo_285_625/datacard_320_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_330_novo_285_625/CMS_HH4b_330_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_330_novo_285_625/datacard_330_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_330_novo_285_625/datacard_330_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_340_novo_285_625/CMS_HH4b_340_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_340_novo_285_625/datacard_340_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_340_novo_285_625/datacard_340_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_350_novo_285_625/CMS_HH4b_350_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_350_novo_285_625/datacard_350_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_360_novo_285_625/CMS_HH4b_360_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_360_novo_285_625/datacard_360_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_370_novo_285_625/CMS_HH4b_370_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_370_novo_285_625/datacard_370_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_380_novo_285_625/CMS_HH4b_380_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_380_novo_285_625/datacard_380_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_390_novo_285_625/CMS_HH4b_390_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_390_novo_285_625/datacard_390_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_400_novo_285_625/CMS_HH4b_400_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_400_novo_285_625/datacard_400_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_410_novo_285_625/CMS_HH4b_410_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_410_novo_285_625/datacard_410_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_420_novo_285_625/CMS_HH4b_420_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_420_novo_285_625/datacard_420_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_430_novo_285_625/CMS_HH4b_430_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_430_novo_285_625/datacard_430_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_440_novo_285_625/CMS_HH4b_440_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_440_novo_285_625/datacard_440_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_450_novo_285_625/CMS_HH4b_450_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_450_novo_285_625/datacard_450_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_460_novo_285_625/CMS_HH4b_460_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_460_novo_285_625/datacard_460_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_470_novo_285_625/CMS_HH4b_470_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_470_novo_285_625/datacard_470_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_480_novo_285_625/CMS_HH4b_480_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_480_novo_285_625/datacard_480_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_490_novo_285_625/CMS_HH4b_490_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_490_novo_285_625/datacard_490_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_500_novo_285_625/CMS_HH4b_500_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_500_novo_285_625/datacard_500_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_510_novo_285_625/CMS_HH4b_510_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_510_novo_285_625/datacard_510_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_520_novo_285_625/CMS_HH4b_520_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_520_novo_285_625/datacard_520_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_530_novo_285_625/CMS_HH4b_530_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_530_novo_285_625/datacard_530_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_540_novo_285_625/CMS_HH4b_540_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_540_novo_285_625/datacard_540_novo_285_625.txt
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_550_novo_285_625/CMS_HH4b_550_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt
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rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_550_novo_285_625/datacard_550_novo_285_625.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_560_novo_285_625/CMS_HH4b_560_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_560_novo_285_625/datacard_560_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_560_novo_285_625/datacard_560_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/CMS_HH4b_570_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_570_novo_285_625/datacard_570_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_570_novo_285_625/datacard_570_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/CMS_HH4b_580_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_580_novo_285_625/datacard_580_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_590_novo_285_625/CMS_HH4b_590_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_590_novo_285_625/datacard_590_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_600_novo_285_625/CMS_HH4b_600_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_600_novo_285_625/datacard_600_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_610_novo_285_625/CMS_HH4b_610_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_610_novo_285_625/datacard_610_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_620_novo_285_625/CMS_HH4b_620_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_620_novo_285_625/datacard_620_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/LMR/LMR_650_novo_285_625/datacard_650_novo_285_625.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/CMS_HH4b_1000_13TeV_asymptoticCLs.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1050_novo_550_1200/CMS_HH4b_1050_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1050_novo_550_1200/datacard_1050_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1100_novo_550_1200/CMS_HH4b_1100_13TeV_asymptoticCLs.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1100_novo_550_1200/datacard_1100_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1150_novo_550_1200/CMS_HH4b_1150_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1150_novo_550_1200/datacard_1150_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1200_novo_550_1200/CMS_HH4b_1200_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_1200_novo_550_1200/datacard_1200_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_550_novo_550_1200/CMS_HH4b_550_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_570_novo_550_1200/CMS_HH4b_570_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_570_novo_550_1200/datacard_570_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_600_novo_550_1200/CMS_HH4b_600_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
similarity index 100%
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rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_620_novo_550_1200/CMS_HH4b_620_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_620_novo_550_1200/datacard_620_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_650_novo_550_1200/CMS_HH4b_650_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_670_novo_550_1200/CMS_HH4b_670_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_670_novo_550_1200/datacard_670_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_700_novo_550_1200/CMS_HH4b_700_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt
similarity index 100%
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rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_700_novo_550_1200/datacard_700_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_720_novo_550_1200/CMS_HH4b_720_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt
similarity index 100%
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rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_720_novo_550_1200/datacard_720_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_MaxLikelihood.out
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_750_novo_550_1200/CMS_HH4b_750_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
similarity index 100%
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rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_770_novo_550_1200/CMS_HH4b_770_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_770_novo_550_1200/datacard_770_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_MaxLikelihood.out
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_800_novo_550_1200/CMS_HH4b_800_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
similarity index 100%
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diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_820_novo_550_1200/CMS_HH4b_820_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_820_novo_550_1200/datacard_820_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_840_novo_550_1200/CMS_HH4b_840_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_840_novo_550_1200/datacard_840_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_860_novo_550_1200/CMS_HH4b_860_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_860_novo_550_1200/datacard_860_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_880_novo_550_1200/CMS_HH4b_880_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_880_novo_550_1200/datacard_880_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_900_novo_550_1200/CMS_HH4b_900_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_920_novo_550_1200/CMS_HH4b_920_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_920_novo_550_1200/datacard_920_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_940_novo_550_1200/CMS_HH4b_940_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_940_novo_550_1200/datacard_940_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_960_novo_550_1200/CMS_HH4b_960_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_960_novo_550_1200/datacard_960_novo_550_1200.txt
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_MaxLikelihood.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_980_novo_550_1200/CMS_HH4b_980_13TeV_asymptoticCLs.out
diff --git a/PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt b/PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt
similarity index 100%
rename from PreselectedWithRegressionDeepCSV/limits_bias_radion/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt
rename to PreselectedWithRegressionDeepCSV/limits_bias/limits_bias_radion/MMR/MMR_980_novo_550_1200/datacard_980_novo_550_1200.txt
diff --git a/bias_LMR_1.txt b/bias_LMR_1.txt
deleted file mode 100644
index 217e913..0000000
--- a/bias_LMR_1.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-260	-60
-270	-110
-300	-160
diff --git a/bias_LMR_2.txt b/bias_LMR_2.txt
deleted file mode 100644
index 1d0fec8..0000000
--- a/bias_LMR_2.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-300	36
-350	-69
-400	14
-450	29
-500	-2
-550	-100
-600	-190
diff --git a/bias_MMR_1.txt b/bias_MMR_1.txt
deleted file mode 100644
index 153d613..0000000
--- a/bias_MMR_1.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-550	-3.9
-600	4.5
-650	1.4
-750	-4.2
-800	-5.4
-900	-4.9
-1000	1.5
diff --git a/bias_MMR_2.txt b/bias_MMR_2.txt
deleted file mode 100644
index 153d613..0000000
--- a/bias_MMR_2.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-550	-3.9
-600	4.5
-650	1.4
-750	-4.2
-800	-5.4
-900	-4.9
-1000	1.5
diff --git a/out.log b/out.log
deleted file mode 100644
index 413af78..0000000
--- a/out.log
+++ /dev/null
@@ -1,1516 +0,0 @@
-LMR gaus_exp 250_330
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_260_gaus_exp_250_330
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_260.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_260.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 191.924
-JEC 1.01807
-JER 1.02103
-bTag 1.06823
-PDF 1.01504940545
-bkg_norm 14211
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_260_gaus_exp_250_330/datacard_260_gaus_exp_250_330.txt
-LMR gaus_exp 250_330
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_270_gaus_exp_250_330
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_270.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_270.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
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-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
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-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_270_gaus_exp_250_330/datacard_270_gaus_exp_250_330.txt
-LMR gaus_exp 250_330
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_300_gaus_exp_250_330
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_300.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_300.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
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-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
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-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_300_gaus_exp_250_330/datacard_300_gaus_exp_250_330.txt
-LMR gaus_exp 250_330
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_350_gaus_exp_250_330
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_350.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_350.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
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-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 541.084
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-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_350_gaus_exp_250_330/datacard_350_gaus_exp_250_330.txt
-MMR novo 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_550_novo_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_550.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_550.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_550.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_550.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_550.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_550.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 2.47576
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-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_550_novo_550_1200/datacard_550_novo_550_1200.txt
-MMR novo 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_600_novo_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_600.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_600.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_600.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_600.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_600.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_600.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
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-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 3.01596
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-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_600_novo_550_1200/datacard_600_novo_550_1200.txt
-MMR novo 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_650_novo_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_650.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_650.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_650.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_650.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_650.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_650.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
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-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
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-sig_norm 3.4471
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-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_650_novo_550_1200/datacard_650_novo_550_1200.txt
-MMR novo 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_750_novo_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_750.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_750.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_750.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_750.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_750.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_750.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
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-sig_norm 4.13008
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-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_750_novo_550_1200/datacard_750_novo_550_1200.txt
-MMR novo 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_800_novo_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_800.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_800.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_800.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_800.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_800.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_800.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
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-sig_norm 4.34388
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-PDF 1.02582057265
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-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_800_novo_550_1200/datacard_800_novo_550_1200.txt
-MMR novo 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_900_novo_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_900.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_900.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_900.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_900.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_900.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_900.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 4.64156
-JEC 1.00857
-JER 1.01164
-bTag 1.0799
-PDF 1.02549102587
-bkg_norm 1266.17
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_900_novo_550_1200/datacard_900_novo_550_1200.txt
-MMR novo 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_1000_novo_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_1000.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_1000.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_1000.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_1000.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_1000.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_1000.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 6.61454
-JEC 1.01006
-JER 1.0152
-bTag 1.35523
-PDF 1.03016737915
-bkg_norm 1266.17
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_1000_novo_550_1200/datacard_1000_novo_550_1200.txt
-LMR crystal 250_330
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_260_crystal_250_330
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_260.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_260.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-Error in <RootX11IOErrorHandler>: fatal X11 error (connection to server lost?!)
-
-**** Save data and exit application ****
-
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 191.924
-JEC 1.01807
-JER 1.02103
-bTag 1.06823
-PDF 1.01504940545
-bkg_norm 14211
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_260_crystal_250_330/datacard_260_crystal_250_330.txt
-LMR crystal 250_330
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_270_crystal_250_330
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_270.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_270.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 213.048
-JEC 1.01241
-JER 1.01721
-bTag 1.06825
-PDF 1.01516984881
-bkg_norm 14211
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_270_crystal_250_330/datacard_270_crystal_250_330.txt
-LMR crystal 250_330
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_300_crystal_250_330
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_300.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_300.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 304.126
-JEC 1.00496
-JER 1.02029
-bTag 1.06837
-PDF 1.01533148611
-bkg_norm 14211
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_300_crystal_250_330/datacard_300_crystal_250_330.txt
-LMR crystal 250_330
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_350_crystal_250_330
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_350.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_350.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 541.084
-JEC 1.0101
-JER 1.00905
-bTag 1.06649
-PDF 1.0164211668
-bkg_norm 14211
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_350_crystal_250_330/datacard_350_crystal_250_330.txt
-MMR crystal_1 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_550_crystal_1_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_550.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_550.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_550.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_550.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_550.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_550.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 2.47576
-JEC 1.02905
-JER 1.01484
-bTag 1.06518
-PDF 1.02229693932
-bkg_norm 1266.17
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_550_crystal_1_550_1200/datacard_550_crystal_1_550_1200.txt
-MMR crystal_1 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_600_crystal_1_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_600.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_600.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_600.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_600.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_600.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_600.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 3.01596
-JEC 1.02779
-JER 1.01328
-bTag 1.06702
-PDF 1.0229477477
-bkg_norm 1266.17
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_600_crystal_1_550_1200/datacard_600_crystal_1_550_1200.txt
-MMR crystal_1 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_650_crystal_1_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_650.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_650.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_650.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_650.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_650.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_650.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 3.4471
-JEC 1.021
-JER 1.01174
-bTag 1.06923
-PDF 1.02353914841
-bkg_norm 1266.17
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_650_crystal_1_550_1200/datacard_650_crystal_1_550_1200.txt
-MMR crystal_1 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_750_crystal_1_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_750.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_750.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_750.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_750.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_750.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_750.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 4.13008
-JEC 1.01674
-JER 1.01351
-bTag 1.07417
-PDF 1.0236949058
-bkg_norm 1266.17
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_750_crystal_1_550_1200/datacard_750_crystal_1_550_1200.txt
-MMR crystal_1 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_800_crystal_1_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_800.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_800.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_800.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_800.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_800.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_800.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 4.34388
-JEC 1.00978
-JER 1.01239
-bTag 1.07603
-PDF 1.02582057265
-bkg_norm 1266.17
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_800_crystal_1_550_1200/datacard_800_crystal_1_550_1200.txt
-MMR crystal_1 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_900_crystal_1_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_900.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_900.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_900.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_900.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_900.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_900.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 4.64156
-JEC 1.00857
-JER 1.01164
-bTag 1.0799
-PDF 1.02549102587
-bkg_norm 1266.17
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_900_crystal_1_550_1200/datacard_900_crystal_1_550_1200.txt
-MMR crystal_1 550_1200
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_1000_crystal_1_550_1200
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H1_mass_1000.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_H2_mass_1000.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_1000.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_1000.png has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/w_signal_1000.root has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/SignalFitsreg/c_mX_SR_KinFit_1000.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_novo_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_550_1200.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_gaus_exp_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_novo_550_1200.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/w_background_crystal_1_550_1200.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 6.61454
-JEC 1.01006
-JER 1.0152
-bTag 1.35523
-PDF 1.03016737915
-bkg_norm 1266.17
-PreselectedWithRegressionDeepCSV/MMRSelection_chi2/fit/MMR_1000_crystal_1_550_1200/datacard_1000_crystal_1_550_1200.txt
-LMR novo 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_270_novo_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_270.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_270.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 213.048
-JEC 1.01241
-JER 1.01721
-bTag 1.06825
-PDF 1.01516984881
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_270_novo_285_625/datacard_270_novo_285_625.txt
-LMR novo 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_300_novo_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_300.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_300.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 304.126
-JEC 1.00496
-JER 1.02029
-bTag 1.06837
-PDF 1.01533148611
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_300_novo_285_625/datacard_300_novo_285_625.txt
-LMR novo 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_350_novo_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_350.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_350.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 541.084
-JEC 1.0101
-JER 1.00905
-bTag 1.06649
-PDF 1.0164211668
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_350_novo_285_625/datacard_350_novo_285_625.txt
-LMR novo 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_400_novo_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_400.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_400.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 790.651
-JEC 1.00381
-JER 1.01925
-bTag 1.06523
-PDF 1.0199774927
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_400_novo_285_625/datacard_400_novo_285_625.txt
-LMR novo 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_450_novo_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_450.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_450.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1083.26
-JEC 1.00732
-JER 1.01521
-bTag 1.06507
-PDF 1.01846991095
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_450_novo_285_625/datacard_450_novo_285_625.txt
-LMR novo 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_500_novo_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_500.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_500.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1319.62
-JEC 1.00347
-JER 1.01686
-bTag 1.06496
-PDF 1.01997778164
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_500_novo_285_625/datacard_500_novo_285_625.txt
-LMR novo 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_550_novo_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_550.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_550.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1470.79
-JEC 1.0002
-JER 1.01675
-bTag 1.06585
-PDF 1.02229693932
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_550_novo_285_625/datacard_550_novo_285_625.txt
-LMR novo 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_600_novo_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_600.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_600.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1712.99
-JEC 1.00275
-JER 1.01626
-bTag 1.06714
-PDF 1.0229477477
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_600_novo_285_625/datacard_600_novo_285_625.txt
-LMR novo 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_650_novo_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_650.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_650.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1859.61
-JEC 1.0047
-JER 1.01327
-bTag 1.06919
-PDF 1.02353914841
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_650_novo_285_625/datacard_650_novo_285_625.txt
-LMR crystal_1 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_270_crystal_1_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_270.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_270.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 213.048
-JEC 1.01241
-JER 1.01721
-bTag 1.06825
-PDF 1.01516984881
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_270_crystal_1_285_625/datacard_270_crystal_1_285_625.txt
-LMR crystal_1 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_300_crystal_1_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_300.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_300.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 304.126
-JEC 1.00496
-JER 1.02029
-bTag 1.06837
-PDF 1.01533148611
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_300_crystal_1_285_625/datacard_300_crystal_1_285_625.txt
-LMR crystal_1 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_350_crystal_1_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_350.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_350.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 541.084
-JEC 1.0101
-JER 1.00905
-bTag 1.06649
-PDF 1.0164211668
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_350_crystal_1_285_625/datacard_350_crystal_1_285_625.txt
-LMR crystal_1 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_400_crystal_1_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_400.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_400.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 790.651
-JEC 1.00381
-JER 1.01925
-bTag 1.06523
-PDF 1.0199774927
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_400_crystal_1_285_625/datacard_400_crystal_1_285_625.txt
-LMR crystal_1 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_450_crystal_1_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_450.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_450.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1083.26
-JEC 1.00732
-JER 1.01521
-bTag 1.06507
-PDF 1.01846991095
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_450_crystal_1_285_625/datacard_450_crystal_1_285_625.txt
-LMR crystal_1 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_500_crystal_1_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_500.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_500.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1319.62
-JEC 1.00347
-JER 1.01686
-bTag 1.06496
-PDF 1.01997778164
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_500_crystal_1_285_625/datacard_500_crystal_1_285_625.txt
-LMR crystal_1 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_550_crystal_1_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_550.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_550.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1470.79
-JEC 1.0002
-JER 1.01675
-bTag 1.06585
-PDF 1.02229693932
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_550_crystal_1_285_625/datacard_550_crystal_1_285_625.txt
-LMR crystal_1 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_600_crystal_1_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_600.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_600.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1712.99
-JEC 1.00275
-JER 1.01626
-bTag 1.06714
-PDF 1.0229477477
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_600_crystal_1_285_625/datacard_600_crystal_1_285_625.txt
-LMR crystal_1 285_625
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_650_crystal_1_285_625
-
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H1_mass_650.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/SignalFits_LMRreg/c_H2_mass_650.png has been created
-Done Signal
-
-root -x -b -l -q  PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit_split.c
-Warning in <TClassTable::Add>: class GaussExp already in TClassTable
-Warning in <TClassTable::Add>: class RevCrystalBall already in TClassTable
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_gaus_exp_250_330.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_novo_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_crystal_1_285_625.png has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_1.pdf has been created
-Info in <TCanvas::Print>: png file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.png has been created
-Info in <TCanvas::Print>: pdf file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/BackgroundFit_SB_Split_2.pdf has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_gaus_exp_250_330.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_novo_285_625.root has been created
-Info in <RooWorkspace::SaveAs>: ROOT file PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/w_background_crystal_1_285_625.root has been created
-Done Background
-
-PDF
-Error in <TGClient::TGClient>: can't open display "localhost:10.0", switching to batch mode...
- In case you run from a remote ssh session, reconnect with ssh -Y
-Info in <TCanvas::MakeDefCanvas>:  created default TCanvas with name c1
-TFile::Append:0: RuntimeWarning: Replacing existing TH1: histo (Potential memory leak).
-end
-sig_norm 1859.61
-JEC 1.0047
-JER 1.01327
-bTag 1.06919
-PDF 1.02353914841
-bkg_norm 17663.5
-PreselectedWithRegressionDeepCSV/LMRSelection_chi2/fit/LMR_650_crystal_1_285_625/datacard_650_crystal_1_285_625.txt
diff --git a/out2.log b/out2.log
deleted file mode 100644
index 47d492a..0000000
--- a/out2.log
+++ /dev/null
@@ -1,80 +0,0 @@
-Info in <TCanvas::Print>: png file out/HbbHbb_fit_s.png has been created
-Warning in <TFile::Append>: Replacing existing TH1: correlation_matrix (Potential memory leak).
-Info in <TCanvas::Print>: png file out/covariance_fit_s.png has been created
-tting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 871.129 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 821.965 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 775.342 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 731.33 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 689.915 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 651.029 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 614.573 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 580.429 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 548.468 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 518.56 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 490.573 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 464.382 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 439.864 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 416.904 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 395.393 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 375.231 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 356.321 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 338.576 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 321.913 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 306.257 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 291.537 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 277.688 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 264.651 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 252.369 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 240.791 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 229.869 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 219.561 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 209.824 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 200.623 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 191.921 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 183.686 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 175.89 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 168.504 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 161.502 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 154.861 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 148.558 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 142.573 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 136.888 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 131.483 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 126.343 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 121.451 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 116.795 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 112.359 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 108.133 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 104.103 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 100.259 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 96.5908 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 93.0888 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 89.7438 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 86.5476 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 83.4922 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 80.5701 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 77.7745 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 75.0987 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 72.5368 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 70.0827 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 67.7313 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 65.4772 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 63.3157 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 61.2423 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 59.2526 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 57.3427 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 55.5087 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 53.747 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 52.0542 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 50.4271 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[#0] WARNING:Plotting -- RooHist::addBin(HbbHbb_plot__x) WARNING: non-integer bin entry 48.8626 with Poisson errors, interpolating between Poisson errors of adjacent integer
-[utils::makePlots] Number of events for pdf in HbbHbb, pdf pdf_binHbbHbb = 17663.5
-index 0, Name HbbHbb/background, val 17663.5
-index 1, Name HbbHbb/signal, val 6.68149e-07
-
- --- MaxLikelihoodFit ---
-Best fit r: 2.10665e-13  -2.10665e-13/+0.0090995  (68% CL)
-nll S+B -> -0.0621522  nll B -> -0.0621502
-Done in 0.02 min (cpu), 0.02 min (real)
--bash: launchDatacard.sh: line 11: syntax error near unexpected token `('
--bash: launchDatacard.sh: line 11: `root -l -b -q InterpolateSignal.C(\"gaus_exp\", 1)'
diff --git a/prova.txt b/prova.txt
deleted file mode 100644
index c04c4eb..0000000
--- a/prova.txt
+++ /dev/null
@@ -1 +0,0 @@
-1.775836    -0.00620  -0.03785    0.007043
diff --git a/test1.txt b/test1.txt
deleted file mode 100644
index e69de29..0000000
diff --git a/test10.txt b/test10.txt
deleted file mode 100644
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diff --git a/test11.txt b/test11.txt
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diff --git a/test12.txt b/test12.txt
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diff --git a/test2.txt b/test2.txt
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diff --git a/test3.txt b/test3.txt
deleted file mode 100644
index b1943b9..0000000
--- a/test3.txt
+++ /dev/null
@@ -1,6 +0,0 @@
--0.492359    -0.00028  -0.00411    -0.000724
-
- --- MaxLikelihoodFit ---
-Best fit r: -0.0644458  -0.428218/+0.42613  (68% CL)
-nll S+B -> -238.883  nll B -> -239.129
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/test4.txt b/test4.txt
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diff --git a/test5.txt b/test5.txt
deleted file mode 100644
index 7eba3d2..0000000
--- a/test5.txt
+++ /dev/null
@@ -1,6 +0,0 @@
--0.102955    -0.00008  +0.00041    -0.000020
-
- --- MaxLikelihoodFit ---
-Best fit r: -0.0537148  -0.0493068/+0.0453376  (68% CL)
-nll S+B -> -156.093  nll B -> -153.357
-Done in 0.02 min (cpu), 0.02 min (real)
diff --git a/test6.txt b/test6.txt
deleted file mode 100644
index ebd2a03..0000000
--- a/test6.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-      r      lvl-here  lvl-there   stepping
-WARNING: underflow to -2.74315 in pdf_binHbbHbb_obsOnly for bin 103, weight 40
-[#0] ERROR:Eval -- RooAbsReal::logEvalError(HbbHbb) evaluation error, 
- origin       : RooAbsReal::HbbHbb[ params=(JEC,JER,PDF,bTag,lumi_13TeV,n_exp_binHbbHbb_proc_background,par_novo_0,par_novo_1,par_novo_2,r,signal_p0,signal_p1,signal_p2,signal_p3,signal_p4,trigger) ]
- message      : Number of events is negative or error
- server values: params=(JEC = -0.000260502 +/- 0.824872,JER = -0.000446662 +/- 0.915618,PDF = -0.000452668 +/- 0.877989,bTag = 0.000414248 +/- 0.880122,lumi_13TeV = -0.000427624 +/- 0.902343,n_exp_binHbbHbb_proc_background = 17637.2,par_novo_0 = 248.345 +/- 3.38481,par_novo_1 = 37.6102 +/- 0.391962,par_novo_2 = -1.29531 +/- 0.010871,r = -1.00146 +/- 0.00928745,signal_p0 = 650,signal_p1 = 21.9547,signal_p2 = 650,signal_p3 = 53.5044,signal_p4 = 0.902474,trigger = 0.00149023 +/- 0.682926)
-FASTEXIT from pdf_binHbbHbb_obsOnly
diff --git a/test7.txt b/test7.txt
deleted file mode 100644
index 916e292..0000000
--- a/test7.txt
+++ /dev/null
@@ -1,6 +0,0 @@
--0.076599    +0.00005  +0.05673    -0.002422
-
- --- MaxLikelihoodFit ---
-Best fit r: -0.0343546  -0.0421931/+0.0417797  (68% CL)
-nll S+B -> 364.568  nll B -> 365.893
-Done in 0.18 min (cpu), 0.18 min (real)
diff --git a/test8.txt b/test8.txt
deleted file mode 100644
index 8a0539d..0000000
--- a/test8.txt
+++ /dev/null
@@ -1,6 +0,0 @@
-WARNING: underflow to -0.60737 in pdf_binHbbHbb_obsOnly for bin 107, weight 31
-[#0] ERROR:Eval -- RooAbsReal::logEvalError(HbbHbb) evaluation error, 
- origin       : RooAbsReal::HbbHbb[ params=(JEC,JER,PDF,bTag,lumi_13TeV,n_exp_binHbbHbb_proc_background,par_novo_0,par_novo_1,par_novo_2,r,signal_p0,signal_p1,signal_p2,signal_p3,signal_p4,trigger) ]
- message      : Number of events is negative or error
- server values: params=(JEC = 0.00135773 +/- 0.793427,JER = 0.0020253 +/- 0.793744,PDF = 0.000875296 +/- 0.791617,bTag = 0.00514428 +/- 0.74449,lumi_13TeV = 0.000408527 +/- 0.62723,n_exp_binHbbHbb_proc_background = 17637.2,par_novo_0 = 243.599 +/- 2.23539,par_novo_1 = 38.9895 +/- 0.490153,par_novo_2 = -1.24637 +/- 0.00855095,r = -0.266559 +/- 0.00871139,signal_p0 = 650,signal_p1 = 21.9547,signal_p2 = 650,signal_p3 = 53.5044,signal_p4 = 0.902474,trigger = 0.00369279 +/- 0.406922)
-FASTEXIT from pdf_binHbbHbb_obsOnly
diff --git a/test9.txt b/test9.txt
deleted file mode 100644
index 90aa004a4e195f23251713b4abca64ff42e828a4..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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From 91ef8c95c20a525598a923820e372ab141536cfc Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Mon, 2 Oct 2017 22:20:36 -0500
Subject: [PATCH 06/11] New files

---
 DisplayCutFlow_LMR.cc                         | 18 ++++++++---
 DisplayCutFlow_MMR.cc                         | 18 ++++++++---
 Display_SignalKinFitReg.cc                    |  6 ++++
 DisplaymHmX.cc                                | 17 +++++-----
 DrawLimitPlot_Combined.cc                     | 31 ++++++++++++------
 PreselectedWithRegressionDeepCSV/ABCD/ABCD.c  |  4 +--
 PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc |  5 ++-
 .../processPreSelection_Graviton.sh           |  3 +-
 .../processPreSelection_Radion.sh             |  8 ++---
 .../processPreSelection_Graviton.sh           |  4 +--
 .../processPreSelection_Radion.sh             | 31 +++++++++---------
 .../processPreSelection_Graviton.sh           |  4 +--
 .../processPreSelection_Radion.sh             | 31 +++++++++---------
 .../processPreSelection_Graviton.sh           |  3 +-
 .../processPreSelection_Radion.sh             | 32 ++++++++++---------
 .../processPreSelection_Graviton.sh           |  3 +-
 .../processPreSelection_Radion.sh             | 32 +++++++++----------
 .../processPreSelection_Graviton.sh           |  3 +-
 .../processPreSelection_Radion.sh             | 32 ++++++++++---------
 .../processPreSelection_Graviton.sh           |  3 +-
 .../processPreSelection_Radion.sh             | 30 ++++++++---------
 21 files changed, 183 insertions(+), 135 deletions(-)

diff --git a/DisplayCutFlow_LMR.cc b/DisplayCutFlow_LMR.cc
index a15db3d..74bfeb8 100644
--- a/DisplayCutFlow_LMR.cc
+++ b/DisplayCutFlow_LMR.cc
@@ -208,7 +208,7 @@ void pushBackHistograms(Samples &sample, TFile *file, TFile * old, bool MC=true)
 
 void signalEff(int npoint)
 {
-        int massPtsStd[9]={260, 270, 300, 350, 400, 450, 500, 550, 600};
+        int massPtsStd[10]={260, 270, 300, 350, 400, 450, 500, 550, 600, 650};
 	int massPts[npoint];
 	for(int i=0; i<npoint; i++) massPts[i]=massPtsStd[i];  
 	std::cout<<" === Signal Efficiencies === "<<std::endl;
@@ -229,7 +229,7 @@ void signalEff(int npoint)
 
 void cumEff(int npoint)
 {
-	int massPtsStd[9]={260, 270, 300, 350, 400, 450,  500, 550, 600};
+	int massPtsStd[10]={260, 270, 300, 350, 400, 450,  500, 550, 600, 650};
 	int massPts[npoint];
 	for(int i=0; i<npoint; i++) massPts[i]=massPtsStd[i];
 
@@ -260,7 +260,7 @@ void DisplayCutFlow_LMR()
   lumi_13TeV  = "(2016)";  // default is "5.1 fb^{-1}"
 
 
-  int massL[9]={260, 270, 300, 350, 400, 450, 500, 550, 600};
+  int massL[10]={260, 270, 300, 350, 400, 450, 500, 550, 600, 650};
   TFile *glugluToX260=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-260_narrow_13TeV-madgraph.root");
   TFile *glugluToX270=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root");
   TFile *glugluToX300=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root");
@@ -270,7 +270,7 @@ void DisplayCutFlow_LMR()
   TFile *glugluToX500=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root");
   TFile *glugluToX550=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root");
   TFile *glugluToX600=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root");
-
+  TFile *glugluToX650=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root");
 
   pushBackHistograms(signals, glugluToX260, glugluToX260);
   pushBackHistograms(signals, glugluToX270, glugluToX270);
@@ -281,6 +281,7 @@ void DisplayCutFlow_LMR()
   pushBackHistograms(signals, glugluToX500, glugluToX500);
   pushBackHistograms(signals, glugluToX550, glugluToX550);
   pushBackHistograms(signals, glugluToX600, glugluToX600);
+  pushBackHistograms(signals, glugluToX650, glugluToX650);
 
   std::vector<TH1F *> h_Cut;
   TH1F *h_Init=new TH1F("h_Init", "h_Init", 154, 260, 1800);
@@ -289,7 +290,7 @@ void DisplayCutFlow_LMR()
   TH1F *h_Events8=(TH1F*)h_Init->Clone("h_Events8");
   TH1F *h_Events10=(TH1F*)h_Init->Clone("h_Events10");
   TH1F *h_Events16=(TH1F*)h_Init->Clone("h_Events16");
-  for (unsigned int i=0; i<9; ++i)
+  for (unsigned int i=0; i<10; ++i)
   {
 	  h_Init->SetBinContent(h_Init->FindBin(massL[i]), signals.v_CountWithPU.at(i)->GetBinContent(1));
 	  std::cout<<massL[i]<<"   "<<signals.v_Cuts.at(i)->GetBinContent(4)<< "   "<<signals.v_Cuts.at(i)->GetBinContent(8)<<"   "<< signals.v_Cuts.at(i)->GetBinContent(10)<< "  "<< signals.v_Cuts.at(i)->GetBinContent(12)<<std::endl;
@@ -355,5 +356,12 @@ void DisplayCutFlow_LMR()
   // g_Ae_2->Draw("AL*");
 
   c_Ae->SaveAs("c_Ae_LMR.pdf");
+  c_Ae->SaveAs("c_Ae_LMR.png");
+  c_Ae->SaveAs("c_Ae_LMR.C");
+  c_Ae->SaveAs("c_Ae_LMR.root");
+
+
+
+
 
 }
diff --git a/DisplayCutFlow_MMR.cc b/DisplayCutFlow_MMR.cc
index 39d4405..110e899 100644
--- a/DisplayCutFlow_MMR.cc
+++ b/DisplayCutFlow_MMR.cc
@@ -207,7 +207,7 @@ void pushBackHistograms(Samples &sample, TFile *file, TFile * old, bool MC=true)
 
 void signalEff(int npoint)
 {
-	int massPtsStd[8]={550, 600, 650, 750, 800, 900, 1000, 1200};
+	int massPtsStd[11]={400, 450, 500, 550, 600, 650, 750, 800, 900, 1000, 1200};
 	int massPts[npoint];
 
 
@@ -230,7 +230,7 @@ void signalEff(int npoint)
 
 void cumEff(int npoint)
 {
-	int massPtsStd[8]={550, 600, 650, 750, 800, 900, 1000, 1200};
+	int massPtsStd[11]={400, 450, 500, 550, 600, 650, 750, 800, 900, 1000, 1200};
 
 	int massPts[npoint];
 	for(int i=0; i<npoint; i++) massPts[i]=massPtsStd[i];
@@ -262,8 +262,11 @@ void DisplayCutFlow_MMR()
   lumi_13TeV  = "(2016)";  // default is "5.1 fb^{-1}"
 
 
-	int massL[]={550, 600,  650, 750, 800, 900, 1000, 1200};
+	int massL[]={400, 450, 500, 550, 600,  650, 750, 800, 900, 1000, 1200};
 
+  TFile *glugluToX400=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root");
+  TFile *glugluToX450=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root");
+  TFile *glugluToX500=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root");
   TFile *glugluToX550=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root");
   TFile *glugluToX600=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root");
   TFile *glugluToX650=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root");
@@ -273,6 +276,9 @@ void DisplayCutFlow_MMR()
   TFile *glugluToX1000=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root");
   TFile *glugluToX1200=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root");
 
+  pushBackHistograms(signals, glugluToX400, glugluToX400);
+  pushBackHistograms(signals, glugluToX450, glugluToX450);
+  pushBackHistograms(signals, glugluToX500, glugluToX500);
   pushBackHistograms(signals, glugluToX550, glugluToX550);
   pushBackHistograms(signals, glugluToX600, glugluToX600);
   pushBackHistograms(signals, glugluToX650, glugluToX650);
@@ -290,7 +296,7 @@ TH1F *h_Events8=(TH1F*)h_Init->Clone("h_Events8");
 TH1F *h_Events10=(TH1F*)h_Init->Clone("h_Events10");
 TH1F *h_Events16=(TH1F*)h_Init->Clone("h_Events16");
 
-for (unsigned int i=0; i<8; ++i)
+for (unsigned int i=0; i<11; ++i)
 {
 	h_Init->SetBinContent(h_Init->FindBin(massL[i]), signals.v_CountWithPU.at(i)->GetBinContent(1));
 	// std::cout<<"signals.v_CountWithPU.at(i)->GetBinContent(1) = "<<.signals.v_CountWithPU.at(i)->GetBinContent(1)<<std::endl;
@@ -357,5 +363,9 @@ g_Ae_3->SetMinimum(0.0001);
   c_Ae->Update();
 
 c_Ae->SaveAs("c_Ae_MMR.pdf");
+c_Ae->SaveAs("c_Ae_MMR.png");
+c_Ae->SaveAs("c_Ae_MMR.C");
+c_Ae->SaveAs("c_Ae_MMR.root");
+
 
 }
diff --git a/Display_SignalKinFitReg.cc b/Display_SignalKinFitReg.cc
index 2e10a87..a0e84cb 100644
--- a/Display_SignalKinFitReg.cc
+++ b/Display_SignalKinFitReg.cc
@@ -137,6 +137,12 @@ void Display_SignalKinFitReg()
   CMS_lumi( p_1, iPeriod, iPos );
   c_KinFit->SaveAs("c_KinFit.pdf");
   c_KinFit->SaveAs("c_KinFit.png");
+  c_KinFit->SaveAs("c_KinFit.root");
+  c_KinFit->SaveAs("c_KinFit.C");
+
+
+
+
 }
 
  
diff --git a/DisplaymHmX.cc b/DisplaymHmX.cc
index b2ca61c..5e958d9 100644
--- a/DisplaymHmX.cc
+++ b/DisplaymHmX.cc
@@ -138,8 +138,8 @@ void DisplaymHmX(std::vector<std::string> files, std::vector<double> mean_gen,
 {
   std::vector<TFile*> v_files;
   for (unsigned int i=0; i<files.size(); ++i) v_files.push_back(new TFile(files.at(i).c_str()));
-  TFile *f_data=new TFile("Histograms_LMR_BTagTotal.root");
-  //TFile *f_data=new TFile("Histograms_MMR_BTagTotal.root");
+  //TFile *f_data=new TFile("Histograms_LMR_BTagTotal.root");
+  TFile *f_data=new TFile("Histograms_MMR_BTagTotal.root");
   std::vector<int> v_colors = {kRed+1, kRed+3, kGreen+2, kOrange+2, kAzure+1, kAzure+3, kPink+2};//, kGray+2,kBlue+1};
   
   gROOT->SetStyle("Plain");
@@ -159,11 +159,7 @@ void DisplaymHmX(std::vector<std::string> files, std::vector<double> mean_gen,
   h_pTOrder_JetpT_1=(TH1F*)f_data->Get("h_pTOrder_JetpT_1");
   h_pTOrder_JetpT_1->SetLineColor(kBlack);
   h_pTOrder_JetpT_1->SetLineWidth(2);
-  leg->AddEntry(h_pTOrder_JetpT_1, "13 TeV Data");
-  /*h_pTOrder_JetpT_1=(TH1F*)f_ttbar->Get("h_pTOrder_JetpT_1");
-  h_pTOrder_JetpT_1->SetLineColor(kRed);
-  h_pTOrder_JetpT_1->SetLineWidth(2);
-  leg->AddEntry(h_pTOrder_JetpT_1, "t#bar{t}");*/
+  //leg->AddEntry(h_pTOrder_JetpT_1, "13 TeV Data");
 
   // Plot mH1
   first=true;
@@ -174,7 +170,7 @@ void DisplaymHmX(std::vector<std::string> files, std::vector<double> mean_gen,
    //  std::cout<<" here "<<std::endl;	
     DisplayHistogram_mH_forFile(v_files.at(i), "h_H1_mass", v_colors.at(i));
   }
- //  DisplayHistogram_mH_forFile(f_data, "h_H1_mass", kBlack);
+  //DisplayHistogram_mH_forFile(f_data, "h_H1_mass", kBlack);
   //DisplayHistogram_mH_forFile(f_ttbar, "h_H1_mass", kRed);
   leg->Draw();
   c_H1_mass->SaveAs("c_H1_mass.png");
@@ -187,7 +183,7 @@ void DisplaymHmX(std::vector<std::string> files, std::vector<double> mean_gen,
   {
     DisplayHistogram_mH_forFile(v_files.at(i), "h_H2_mass", v_colors.at(i));
   }
-  // DisplayHistogram_mH_forFile(f_data, "h_H2_mass", kBlack);
+  //DisplayHistogram_mH_forFile(f_data, "h_H2_mass", kBlack);
   //DisplayHistogram_mH_forFile(f_ttbar, "h_H2_mass", kRed);
   leg->Draw();
   c_H2_mass->SaveAs("c_H2_mass.png");
@@ -220,6 +216,9 @@ void DisplaymHmX(std::vector<std::string> files, std::vector<double> mean_gen,
   CMS_lumi(c_mH1_mH2_asym_Data, 4, 11);
   c_mH1_mH2_asym_Data->SaveAs("c_mH1_mH2_asym_Data.png");
   c_mH1_mH2_asym_Data->SaveAs("c_mH1_mH2_asym_Data.pdf");
+  c_mH1_mH2_asym_Data->SaveAs("c_mH1_mH2_asym_Data.root");
+  c_mH1_mH2_asym_Data->SaveAs("c_mH1_mH2_asym_Data.C");
+
   delete c_mH1_mH2_asym_Data;
  
 }    
diff --git a/DrawLimitPlot_Combined.cc b/DrawLimitPlot_Combined.cc
index 25e0d68..c4bd3d5 100644
--- a/DrawLimitPlot_Combined.cc
+++ b/DrawLimitPlot_Combined.cc
@@ -193,7 +193,7 @@ void DrawLimitPlot_Combined(std::vector<double> mass_1,
 	std::string background_1,
 	std::string background_2,
 	std::string background_3){
-	/*
+
 	    gStyle->SetTitleOffset(1.2,"Y");
 		gStyle->SetPadLeftMargin(0.18);
 		gStyle->SetPadBottomMargin(0.15);
@@ -250,7 +250,7 @@ void DrawLimitPlot_Combined(std::vector<double> mass_1,
 		gStyle->SetTitleTextColor(1);
 		gStyle->SetTitleFillColor(10);
 		gStyle->SetTitleFontSize(0.05);
-*/
+
         writeExtraText = true;       
 	    extraText  = "Preliminary";  
 	    lumi_13TeV  = "35.9 fb^{-1}";
@@ -473,16 +473,24 @@ std::vector<double> br_hh={
 	0.2618915924170746,	
 	0.054417137017588976};
 
-// Graviton curve K=0.1 from github reference (scale from 0.5 to 0.1)
+
+// Graviton curve K=0.5 from github reference
 std::vector<double> masses_graviton_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
-std::vector<double> x_graviton_new={0.2748, 5.44, 9.28, 4.92, 2.29, 1.14, 0.08, 0.6, 0.33, 0.19, 0.12, 0.08, 0.05, 0.03, 0.02};
-//Radion curve from github reference
+std::vector<double> x_graviton_new={6.87, 136.0, 232.0, 123.0, 57.3, 28.4, 20.4, 15.0, 8.16, 4.74, 3.0, 1.9, 1.2, 0.763, 0.483};
+
+// Graviton curve K=0.1 from github reference (scale from 0.5 to 0.1)
+std::vector<double> masses_graviton_new2={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
+std::vector<double> x_graviton_new2={0.2748, 5.44, 9.28, 4.92, 2.29, 1.14, 0.08, 0.6, 0.33, 0.19, 0.12, 0.08, 0.05, 0.03, 0.02};
+
+//Radion curve 1 TeV from github reference
 std::vector<double> masses_radion_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
 std::vector<double> x_radion_new={7.64e+03, 7.13e+03, 2.92e+03, 1.50e+03, 9.08e+02, 5.84e+02, 4.74e+02, 3.93e+02, 2.70e+02, 1.90e+02, 1.38e+02, 1.01e+02, 7.38e+01, 5.39e+01, 3.93e+01};
-//Radion curve divided by 9 from github reference
+
+//Radion curve 3 TeV  from github reference (scale from 1 TeV to 3 TeV, dividing by 9)
 std::vector<double> masses_radion_new2={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
 std::vector<double> x_radion_new2={848.88, 792.22, 324.44, 166.66, 100.88, 64.88, 52.66, 43.66, 30.0, 21.11, 15.33, 11.22, 8.20, 5.98, 4.36};
 
+
 TGraph *g_graviton=new TGraph(masses_graviton_new.size(), &(masses_graviton_new[0]), &(x_graviton_new[0])); g_graviton->SetLineWidth(2); g_graviton->SetLineColor(kBlue+1); g_graviton->SetFillColor(kWhite);
 TGraph *g_radion=new TGraph(masses_radion_new.size(), &(masses_radion_new[0]), &(x_radion_new[0])); g_radion->SetLineWidth(2); g_radion->SetLineColor(kBlue+1); g_radion->SetFillColor(kWhite);
 TGraph *g_radion2=new TGraph(masses_radion_new2.size(), &(masses_radion_new2[0]), &(x_radion_new2[0])); g_radion2->SetLineWidth(2); g_radion2->SetLineColor(kBlue+1); g_radion->SetFillColor(kWhite);
@@ -530,18 +538,21 @@ leg->AddEntry(g_xsec_c, "Expected Upper Limit", "L");
 leg->AddEntry(g_xsec_1sigma_c, "Expected #pm 1 #sigma", "F");
 leg->AddEntry(g_xsec_2sigma_c, "Expected #pm 2 #sigma", "F");
 leg->AddEntry(g_obs_c, "Observed Upper Limit", "LP");
-leg->AddEntry(g_graviton,"Bulk Graviton k=0.1","L");
-//leg->AddEntry(g_radion,"Bulk Radion #lambda= 1 TeV, kl=35","L");
-//leg->AddEntry(g_radion2,"Bulk Radion #lambda= 3 TeV, kl=35","L");	
+leg->AddEntry(g_graviton,"Bulk Graviton k=0.5","L");
+//leg->AddEntry(g_radion,"Bulk Radion #Lambda= 1 TeV, kl=35","L");
+//leg->AddEntry(g_radion2,"Bulk Radion #Lambda= 3 TeV, kl=35","L");	
 leg->SetFillColor(kWhite);
 leg->SetFillStyle(0);
 leg->SetTextSize(0.03);
 leg->SetTextFont(42);
 leg->SetBorderSize(0);
 leg->Draw();
+
 CMS_lumi( c_xsec, iPeriod, iPos );
 c_xsec->Update();
 c_xsec->SaveAs("UpperLimit_combined.png");
 c_xsec->SaveAs("UpperLimit_combined.pdf");
+c_xsec->SaveAs("UpperLimit_combined.root");
+c_xsec->SaveAs("UpperLimit_combined.C");
 
-}
\ No newline at end of file
+}
diff --git a/PreselectedWithRegressionDeepCSV/ABCD/ABCD.c b/PreselectedWithRegressionDeepCSV/ABCD/ABCD.c
index 7524295..2996f56 100644
--- a/PreselectedWithRegressionDeepCSV/ABCD/ABCD.c
+++ b/PreselectedWithRegressionDeepCSV/ABCD/ABCD.c
@@ -1,7 +1,7 @@
 {
   gROOT->LoadMacro("ABCD.cc");
   //150
-  ABCD("Histograms_LMR_150BTagTotal.root","Histograms_LMR_AntiTag_150_BTagTotal.root",285,625,5,"150","h_mX_SB_kinFit","h_mX_SR_kinFit");
+  ABCD("Histograms_LMR_150BTagTotal.root","Histograms_LMR_AntiTag_150_BTagTotal.root",250,750,5,"150","h_mX_SB_kinFit","h_mX_SR_kinFit");
   //120
-  ABCD("Histograms_LMR_BTagTotal.root","Histograms_LMR_AntiTag_BTagTotal.root",285,625,5,"120","h_mX_SB_kinFit","h_mX_SR_kinFit");  
+  ABCD("Histograms_LMR_BTagTotal.root","Histograms_LMR_AntiTag_BTagTotal.root",250,750,5,"120","h_mX_SB_kinFit","h_mX_SR_kinFit");  
 }
diff --git a/PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc b/PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc
index 10a5cc2..38bbbce 100644
--- a/PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc
+++ b/PreselectedWithRegressionDeepCSV/ABCD/ABCD.cc
@@ -153,7 +153,7 @@ void ABCD(std::string filename1,std::string  filename2, double plot_lo,
   p_1_1->Draw();
   p_1_1->cd();
   data_plot1_1->Draw();
-  data_plot1_1->SetMaximum(0.12);
+  data_plot1_1->SetMaximum(0.06);
   data_plot1_1->GetXaxis()->SetLabelOffset(0.01); 
   data_plot1_1->GetXaxis()->SetLabelFont(42);
   data_plot1_1->GetYaxis()->SetLabelFont(42);
@@ -183,6 +183,9 @@ void ABCD(std::string filename1,std::string  filename2, double plot_lo,
   CMS_lumi( p_1_1, iPeriod, iPos );
   c_Background_1->SaveAs(Form("Background_SR_norm1_%s.png", mass.c_str()) );
   c_Background_1->SaveAs(Form("Background_SR_norm1_%s.pdf", mass.c_str()) );
+  c_Background_1->SaveAs(Form("Background_SR_norm1_%s.root", mass.c_str()) );
+  c_Background_1->SaveAs(Form("Background_SR_norm1_%s.C", mass.c_str()) );
+
 
   //Ratio plot
   TH1F *h_mX_SR_ratio=(TH1F*)h_mX_SR_kinFit_A->Clone("h_mX_SR_ratio");
diff --git a/PreselectedWithRegressionDeepCSV/processPreSelection_Graviton.sh b/PreselectedWithRegressionDeepCSV/processPreSelection_Graviton.sh
index 7fc9788..96fc730 100644
--- a/PreselectedWithRegressionDeepCSV/processPreSelection_Graviton.sh
+++ b/PreselectedWithRegressionDeepCSV/processPreSelection_Graviton.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -25,5 +25,6 @@ root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV/processPreSelection_Radion.sh b/PreselectedWithRegressionDeepCSV/processPreSelection_Radion.sh
index 139ab0f..c220823 100644
--- a/PreselectedWithRegressionDeepCSV/processPreSelection_Radion.sh
+++ b/PreselectedWithRegressionDeepCSV/processPreSelection_Radion.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -18,12 +18,12 @@ root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-35
 root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_JECm1/processPreSelection_Graviton.sh b/PreselectedWithRegressionDeepCSV_JECm1/processPreSelection_Graviton.sh
index 824cf19..9ed9f3f 100644
--- a/PreselectedWithRegressionDeepCSV_JECm1/processPreSelection_Graviton.sh
+++ b/PreselectedWithRegressionDeepCSV_JECm1/processPreSelection_Graviton.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -25,5 +25,5 @@ root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
-
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_JECm1/processPreSelection_Radion.sh b/PreselectedWithRegressionDeepCSV_JECm1/processPreSelection_Radion.sh
index 139ab0f..15b663a 100644
--- a/PreselectedWithRegressionDeepCSV_JECm1/processPreSelection_Radion.sh
+++ b/PreselectedWithRegressionDeepCSV_JECm1/processPreSelection_Radion.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -11,19 +11,20 @@ fi
 mkdir PDFs
 cp ../PDFs/deepCSV_BH_Moriond17.csv PDFs/
 
-root -l -b -q "../HbbHbb_PreSelection3.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JER\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q "../HbbHbb_PreSelection.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JECm1\",\"JER\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JECm1","JER","Trig","bTag","gravall-v25.weights.xml")'
 
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_JECp1/processPreSelection_Graviton.sh b/PreselectedWithRegressionDeepCSV_JECp1/processPreSelection_Graviton.sh
index 84561ac..368625f 100644
--- a/PreselectedWithRegressionDeepCSV_JECp1/processPreSelection_Graviton.sh
+++ b/PreselectedWithRegressionDeepCSV_JECp1/processPreSelection_Graviton.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -25,5 +25,5 @@ root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
-
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_JECp1/processPreSelection_Radion.sh b/PreselectedWithRegressionDeepCSV_JECp1/processPreSelection_Radion.sh
index 139ab0f..eadf898 100644
--- a/PreselectedWithRegressionDeepCSV_JECp1/processPreSelection_Radion.sh
+++ b/PreselectedWithRegressionDeepCSV_JECp1/processPreSelection_Radion.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -11,19 +11,20 @@ fi
 mkdir PDFs
 cp ../PDFs/deepCSV_BH_Moriond17.csv PDFs/
 
-root -l -b -q "../HbbHbb_PreSelection3.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JER\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q "../HbbHbb_PreSelection3.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JECp1\",\"JER\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JECp1","JER","Trig","bTag","gravall-v25.weights.xml")'
 
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_JERm1/processPreSelection_Graviton.sh b/PreselectedWithRegressionDeepCSV_JERm1/processPreSelection_Graviton.sh
index 4de8fc8..0502402 100644
--- a/PreselectedWithRegressionDeepCSV_JERm1/processPreSelection_Graviton.sh
+++ b/PreselectedWithRegressionDeepCSV_JERm1/processPreSelection_Graviton.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -25,5 +25,6 @@ root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
 
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_JERm1/processPreSelection_Radion.sh b/PreselectedWithRegressionDeepCSV_JERm1/processPreSelection_Radion.sh
index 139ab0f..c167164 100644
--- a/PreselectedWithRegressionDeepCSV_JERm1/processPreSelection_Radion.sh
+++ b/PreselectedWithRegressionDeepCSV_JERm1/processPreSelection_Radion.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -11,19 +11,21 @@ fi
 mkdir PDFs
 cp ../PDFs/deepCSV_BH_Moriond17.csv PDFs/
 
-root -l -b -q "../HbbHbb_PreSelection3.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JER\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q "../HbbHbb_PreSelection3.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JERm1\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JEC","JERm1","Trig","bTag","gravall-v25.weights.xml")'
+
 
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_JERp1/processPreSelection_Graviton.sh b/PreselectedWithRegressionDeepCSV_JERp1/processPreSelection_Graviton.sh
index e80873a..cdb6320 100644
--- a/PreselectedWithRegressionDeepCSV_JERp1/processPreSelection_Graviton.sh
+++ b/PreselectedWithRegressionDeepCSV_JERp1/processPreSelection_Graviton.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -25,5 +25,6 @@ root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
 
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_JERp1/processPreSelection_Radion.sh b/PreselectedWithRegressionDeepCSV_JERp1/processPreSelection_Radion.sh
index 139ab0f..7adcf40 100644
--- a/PreselectedWithRegressionDeepCSV_JERp1/processPreSelection_Radion.sh
+++ b/PreselectedWithRegressionDeepCSV_JERp1/processPreSelection_Radion.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -11,19 +11,19 @@ fi
 mkdir PDFs
 cp ../PDFs/deepCSV_BH_Moriond17.csv PDFs/
 
-root -l -b -q "../HbbHbb_PreSelection3.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JER\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-
+root -l -b -q "../HbbHbb_PreSelection.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JERp1\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JEC","JERp1","Trig","bTag","gravall-v25.weights.xml")'
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_bTagm1/processPreSelection_Graviton.sh b/PreselectedWithRegressionDeepCSV_bTagm1/processPreSelection_Graviton.sh
index caded3b..3bf0b31 100644
--- a/PreselectedWithRegressionDeepCSV_bTagm1/processPreSelection_Graviton.sh
+++ b/PreselectedWithRegressionDeepCSV_bTagm1/processPreSelection_Graviton.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -25,5 +25,6 @@ root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
 
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_bTagm1/processPreSelection_Radion.sh b/PreselectedWithRegressionDeepCSV_bTagm1/processPreSelection_Radion.sh
index 139ab0f..dd14153 100644
--- a/PreselectedWithRegressionDeepCSV_bTagm1/processPreSelection_Radion.sh
+++ b/PreselectedWithRegressionDeepCSV_bTagm1/processPreSelection_Radion.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -11,19 +11,21 @@ fi
 mkdir PDFs
 cp ../PDFs/deepCSV_BH_Moriond17.csv PDFs/
 
-root -l -b -q "../HbbHbb_PreSelection3.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JER\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q "../HbbHbb_PreSelection3.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JER\",\"Trig\",\"bTagm1\",\"../gravall-v25.weights.xml\")"
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JEC","JER","Trig","bTagm1","gravall-v25.weights.xml")'
+
 
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_bTagp1/processPreSelection_Graviton.sh b/PreselectedWithRegressionDeepCSV_bTagp1/processPreSelection_Graviton.sh
index 31cad9b..83829c2 100644
--- a/PreselectedWithRegressionDeepCSV_bTagp1/processPreSelection_Graviton.sh
+++ b/PreselectedWithRegressionDeepCSV_bTagp1/processPreSelection_Graviton.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -25,5 +25,6 @@ root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
 root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
 
 rm -fr PDFs/
diff --git a/PreselectedWithRegressionDeepCSV_bTagp1/processPreSelection_Radion.sh b/PreselectedWithRegressionDeepCSV_bTagp1/processPreSelection_Radion.sh
index 139ab0f..9ca1e7b 100644
--- a/PreselectedWithRegressionDeepCSV_bTagp1/processPreSelection_Radion.sh
+++ b/PreselectedWithRegressionDeepCSV_bTagp1/processPreSelection_Radion.sh
@@ -1,7 +1,7 @@
 #!/bin/sh
 location=$1
 if test $location -eq 0
-        then export dir="/eos/uscms/store/user/lpchbb/HeppyNtuples/V25"
+        then export dir="/eos/uscms/store/user/guerrero/HeppyNtuples/V25"
 elif test $location -eq 1
         then export dir="/scratch/malara/WorkingArea/IO_file/output_file/DeepCSV_final/MC/Original"
 else
@@ -11,19 +11,19 @@ fi
 mkdir PDFs
 cp ../PDFs/deepCSV_BH_Moriond17.csv PDFs/
 
-root -l -b -q "../HbbHbb_PreSelection3.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JER\",\"Trig\",\"bTag\",\"../gravall-v25.weights.xml\")"
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-#root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
-root -l -b -q '../HbbHbb_PreSelection3.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTag","gravall-v25.weights.xml")'
+root -l -b -q "../HbbHbb_PreSelection.cc++(\"$dir\", \"GluGluToRadionToHHTo4B_M-260_narrow_13TeV-madgraph\",\"JEC\",\"JER\",\"Trig\",\"bTagp1\",\"../gravall-v25.weights.xml\")"
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-270_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-300_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-350_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-400_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-450_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-500_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-550_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-600_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-650_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-750_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-800_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "GluGluToRadionToHHTo4B_M-900_narrow_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
+root -l -b -q '../HbbHbb_PreSelection.cc++("$dir", "RadionTohhTohbbhbb_narrow_M-1000_13TeV-madgraph","JEC","JER","Trig","bTagp1","gravall-v25.weights.xml")'
 
 rm -fr PDFs/

From 28ea66ceb2e2a7bc93c6667eea3c30c8eb7ea2cf Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Thu, 26 Oct 2017 09:08:16 -0500
Subject: [PATCH 07/11] New errorbars

---
 BackgroundPrediction_Kinematic_Split.c     | 327 +++++++++++++++------
 BackgroundPrediction_Kinematic_Split_MMR.c | 189 +++++++-----
 2 files changed, 356 insertions(+), 160 deletions(-)

diff --git a/BackgroundPrediction_Kinematic_Split.c b/BackgroundPrediction_Kinematic_Split.c
index 010b6a7..42dee02 100644
--- a/BackgroundPrediction_Kinematic_Split.c
+++ b/BackgroundPrediction_Kinematic_Split.c
@@ -206,7 +206,6 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     lumi_13TeV  = "35.9 fb^{-1}";
 
 
-
     TFile *f_AntiTag=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2_AntiTag/Histograms_LMR_AntiTag_BTagTotal.root");
     TH1F *h_SR_AntiTag=(TH1F*)f_AntiTag->Get("h_mX_SR_kinFit");
     h_SR_AntiTag->Rebin(rebin);
@@ -231,6 +230,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
 
     TFile *f_data=new TFile((dest_dir+"/"+filename).c_str());
     TH1F *h_mX_SR;
+    TH1F *h_ABCD;    
     if (hist.substr(0,7)=="h_mX_SB") {
 	h_mX_SR=(TH1F*)h_SR_AntiTag->Clone("h_mX_SR_kinFit");  
     }
@@ -240,9 +240,27 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     }
     new TCanvas; h_mX_SR->Draw();
 
+    //Histos for corrected errors
+    if (hist.substr(0,7)=="h_mX_SB") {    
+    TH1F *histo_SR_AntiTag=(TH1F*)f_AntiTag->Get("h_mX_SR_kinFit");
+    TH1F *histo_SB_AntiTag=(TH1F*)f_AntiTag->Get("h_mX_SB_kinFit");
+    TH1F *histo_SB=(TH1F*)f_Tag->Get("h_mX_SB_kinFit");
+    TH1F *histo_SR=(TH1F*)f_Tag->Get("h_mX_SR_kinFit");
+    //create unbinned ABCD histo
+    histo_SR_AntiTag->Scale(1./histo_SR_AntiTag->Integral());
+    histo_SB_AntiTag->Scale(1./histo_SB_AntiTag->Integral());
+    histo_SB->Scale(1./histo_SB->Integral());
+    histo_SR_AntiTag->Divide(histo_SB_AntiTag);
+    histo_SR_AntiTag->Multiply(histo_SB);
+    histo_SR_AntiTag->Scale(nEventsSR);
+    h_ABCD=(TH1F*)histo_SR_AntiTag->Clone("h_mX_SR_kinFit");
+    }
+    else{
+    h_ABCD=(TH1F*)f_Tag->Get("h_mX_SR_kinFit");        
+    }
 
-    char value[1000];
-    
+
+    char value[1000];    
     RooRealVar *x_1 = new RooRealVar("x", "m_{X} (GeV)", range_lo_1, range_hi_1);
     RooRealVar *x_2 = new RooRealVar("x", "m_{X} (GeV)", range_lo_2, range_hi_2);
     RooDataHist pred_1("pred_1", "Data", RooArgList(*x_1), h_mX_SR);
@@ -304,6 +322,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     f_gaus_exp.plotOn(frame_gaus_exp, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
     f_gaus_exp.plotOn(frame_gaus_exp, RooFit::LineColor(kBlue+1));
     double fitChi2_gaus_exp=frame_gaus_exp->chiSquare();
+    double fitNDF_gaus_exp=int((range_hi_1-range_lo_1)/rebin)-3;
     RooAbsReal* chi2_gaus_exp = f_gaus_exp.createChi2(pred_1);
     double pvalue_gaus_exp=TMath::Prob(chi2_gaus_exp->getVal(),int((range_hi_1-range_lo_1)/rebin)-3);
     TCanvas *c_gaus_exp=new TCanvas("c_gaus_exp", "c_gaus_exp", 700, 700);
@@ -342,6 +361,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     f_novo.plotOn(frame_novo, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
     f_novo.plotOn(frame_novo, RooFit::LineColor(kBlue+1));
     double fitChi2_Novo=frame_novo->chiSquare();
+    double fitNDF_Novo=int((range_hi_2-range_lo_2)/rebin)-3;
     RooAbsReal* chi2_novo = f_novo.createChi2(pred_2);
     double pvalue_novo=TMath::Prob(chi2_novo->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
     
@@ -416,20 +436,21 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     c_crystal_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
             
     
+    // LMR 1 GaussExp plot
     double xPad = 0.3;
     TCanvas *c_gaus_exp_1=new TCanvas("c_gaus_exp_1", "c_gaus_exp_1", 700*(1.-xPad), 700);
     c_gaus_exp_1->SetFillStyle(4000);
     c_gaus_exp_1->SetFrameFillColor(0);
-    
     TPad *p_1=new TPad("p_1", "p_1", 0, xPad, 1, 1);
     p_1->SetFillStyle(4000);
     p_1->SetFrameFillColor(0);
+    p_1->SetLeftMargin(0.15);
     p_1->SetBottomMargin(0.02);
-    
     TPad* p_2 = new TPad("p_2", "p_2",0,0,1,xPad);
     p_2->SetBottomMargin((1.-xPad)/xPad*0.13);
     p_2->SetTopMargin(0.03);
     p_2->SetFillColor(0);
+    p_2->SetLeftMargin(0.15);
     p_2->SetBorderMode(0);
     p_2->SetBorderSize(2);
     p_2->SetFrameBorderMode(0);
@@ -442,26 +463,95 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     
     RooPlot *frame_gaus_exp_1=x_1->frame();
     pred_1.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));
-    //f_crystal.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_crystal, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
-    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlue), RooFit::LineWidth(3));
-    //f_crystal.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
+    //f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));    
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlue));
     
+    //correct error bands for LMR1
+    TGraph* error_curve[5];      
+
+    for (int i=2; i!=5; ++i) {
+        error_curve[i] = new TGraph();
+    }
+
+    error_curve[2] = (TGraph*)frame_gaus_exp_1->getObject(1)->Clone("errs");
+    int nPoints = error_curve[2]->GetN();
+    error_curve[0] = new TGraph(2*nPoints);
+    error_curve[1] = new TGraph(2*nPoints);
+    error_curve[0]->SetFillStyle(1001);
+    error_curve[1]->SetFillStyle(1001);
+    error_curve[0]->SetFillColor(kGreen);
+    error_curve[1]->SetFillColor(kYellow);
+    error_curve[0]->SetLineColor(kGreen);
+    error_curve[1]->SetLineColor(kYellow);
+
+    RooDataHist pred1("pred1", "Prediction ABCD/SR", RooArgList(*x_1), h_ABCD); 
+    error_curve[3]->SetFillStyle(1001);
+    error_curve[4]->SetFillStyle(1001);
+    error_curve[3]->SetFillColor(kGreen);
+    error_curve[4]->SetFillColor(kYellow);
+    error_curve[3]->SetLineColor(kGreen);
+    error_curve[4]->SetLineColor(kYellow);
+    error_curve[2]->SetLineColor(kBlue);
+    error_curve[2]->SetLineWidth(3);
+        
+    double binSize = rebin;
+
+    for (int i=0; i!=nPoints; ++i) {
+            double x0,y0, x1,y1;
+            double lim;
+            error_curve[2]->GetPoint(i,x0,y0);
+
+            if (hist.substr(0,7)=="h_mX_SB"){lim=5100;}
+            else{lim=100000000000;}  
+            RooAbsReal* nlim = new RooRealVar("nlim","y0",y0,-lim,lim);         
+            double lowedge = x0 - binSize/2.;
+            double upedge = x0 + binSize/2.;        
+            x_1->setRange("errRange",lowedge,upedge);
+            RooExtendPdf* epdf = new RooExtendPdf("epdf","extpdf",f_gaus_exp, *nlim,"errRange");
+         
+            // Construct unbinned likelihood
+            RooAbsReal* nll = epdf->createNLL(pred1,RooFit::NumCPU(2));
+            // Minimize likelihood w.r.t all parameters before making plots
+            RooMinimizer* minim = new RooMinimizer(*nll);
+            minim->setMinimizerType("Minuit2");
+            minim->setStrategy(2);
+            minim->setPrintLevel(-1);
+            minim->migrad();
+            minim->hesse();
+            RooFitResult* result = minim->lastMinuitFit();
+            double errm = nlim->getPropagatedError(*result);
+            
+            error_curve[0]->SetPoint(i,x0,(y0-errm));
+            error_curve[0]->SetPoint(2*nPoints-i-1,x0,y0+errm);
+            error_curve[1]->SetPoint(i,x0,(y0-2*errm));
+            error_curve[1]->SetPoint(2*nPoints-i-1,x0,(y0+2*errm));
+            error_curve[3]->SetPoint(i,x0,-errm/sqrt(y0));
+            error_curve[3]->SetPoint(2*nPoints-i-1,x0,errm/sqrt(y0));
+            error_curve[4]->SetPoint(i,x0,-2*errm/sqrt(y0));
+            error_curve[4]->SetPoint(2*nPoints-i-1,x0,2*errm/sqrt(y0));            
+    }
+
     
     if (log=="log") frame_gaus_exp_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5.);
     else frame_gaus_exp_1->GetYaxis()->SetRangeUser(0, h_mX_SR->GetMaximum()*1.2);
     frame_gaus_exp_1->GetXaxis()->SetLabelOffset(0.03);
     frame_gaus_exp_1->GetYaxis()->SetLabelFont(42);
     frame_gaus_exp_1->GetYaxis()->SetTitleFont(42);
-    frame_gaus_exp_1->GetYaxis()->SetTitleOffset(1.25);
-    frame_gaus_exp_1->Draw("same");
+    frame_gaus_exp_1->GetYaxis()->SetTitleOffset(1.6);
+    frame_gaus_exp_1->Draw();
     frame_gaus_exp_1->SetTitle(("; m_{X} (GeV); Events / "+itoa(h_mX_SR->GetBinWidth(1))+" GeV").c_str());
+    error_curve[1]->Draw("Fsame");
+    error_curve[0]->Draw("Fsame");
+    error_curve[2]->Draw("Lsame");
+    frame_gaus_exp_1->Draw("axis p e same");
+
     if (log=="log") p_1->SetLogy();
     
     TPaveText *pave = new TPaveText(0.65,0.57,0.83,0.72,"NDC");
     pave->SetBorderSize(0);
     pave->SetTextSize(0.03);
     pave->SetLineColor(1);
+    pave->SetTextFont(42);     
     pave->SetLineStyle(1);
     pave->SetLineWidth(2);
     pave->SetFillColor(0);
@@ -469,19 +559,10 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     char name[1000];
     char name1[1000];
     if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name,"#chi^{2}/n = %.2f",fitChi2_gaus_exp);
-    //    sprintf(name1,"p-value_gaus_exp = %.2f",pvalue_gaus_exp);
+        sprintf(name,"#chi^{2} = %.2f",fitChi2_gaus_exp*fitNDF_gaus_exp);
     }
-    else sprintf(name,"#chi^{2}/n = %.2f",fitChi2_gaus_exp);
+    else sprintf(name,"#chi^{2} = %.2f",fitChi2_gaus_exp*fitNDF_gaus_exp);
     pave->AddText(name);
-    //pave->AddText(name1);
-    /*if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
-        sprintf(name1,"p-value_crystal = %.2f",pvalue_crystal);
-    }
-    else sprintf(name,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal);*/
-    //pave->AddText(name);
-    //pave->AddText(name1);
     pave->Draw();
     
     TLatex * tPrel = new TLatex();
@@ -492,6 +573,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     TLegend *leg = new TLegend(0.61, 0.72,0.75,0.89,NULL,"brNDC");
     leg->SetBorderSize(0);
     leg->SetTextSize(0.035);
+    leg->SetTextFont(42);    
     leg->SetLineColor(1);
     leg->SetLineStyle(1);
     leg->SetLineWidth(2);
@@ -502,14 +584,18 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
         h_mX_SR->SetLineColor(kBlack);
         h_mX_SR->SetMarkerColor(kBlack);
         leg->AddEntry(h_mX_SR, "Data of ABCD-SR", "ep");
-        
+        leg->AddEntry(error_curve[2], "GaussExp fit", "l");
+        leg->AddEntry(error_curve[0], "Fit #pm1#sigma", "f");
+        leg->AddEntry(error_curve[1], "Fit #pm2#sigma", "f");    
     }
-    else leg->AddEntry(h_mX_SR, "Data in SR", "ep");
-    TH1F * temp = new TH1F("temp", "temp", 100, 0,1); temp->SetLineWidth(2);  temp->SetLineColor(kBlue);
-    leg->AddEntry(temp, "GaussExp fit", "l");
-    //TH1F * temp1 = new TH1F("temp1", "temp1", 100, 0,1); temp1->SetLineWidth(2);
-    //temp1->SetLineColor(kRed);
-    //leg->AddEntry(temp1, "CrystalBall fit", "l");
+    else{
+    leg->AddEntry(h_mX_SR, "Data in SR", "ep");
+    leg->AddEntry(error_curve[2], "GaussExp fit", "l");
+    leg->AddEntry(error_curve[0], "Fit #pm1#sigma", "f");
+    leg->AddEntry(error_curve[1], "Fit #pm2#sigma", "f");  
+    } 
+    //TH1F * temp = new TH1F("temp", "temp", 100, 0,1); temp->SetLineWidth(2);  temp->SetLineColor(kBlue);
+    //leg->AddEntry(temp, "GaussExp fit", "l");
     leg->Draw();
     
     CMS_lumi( p_1, iPeriod, iPos );
@@ -517,29 +603,29 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     p_2->cd();
     RooHist *hpull, *hpull1;
     hpull = frame_gaus_exp->pullHist();
-    hpull->SetLineWidth(2);
-    //hpull1 = frame_crystal->pullHist();
-    //hpull1 = frame_logistic->pullHist();
-    //hpull1->SetMarkerColor(kRed);
-    //hpull1->SetLineStyle(kDashed);
-    //hpull1->SetMarkerSize(0.6);
-    //hpull1->SetLineColor(kRed);
+    hpull->SetLineWidth(1);
     RooPlot* frameP = x_1->frame() ;
     
     frameP->SetTitle("; m_{X} (GeV); Pull");
     frameP->addPlotable(hpull,"P");
-    //frameP->addPlotable(hpull1,"P same");
-    frameP->GetYaxis()->SetTitleSize(0.07);
+    frameP->SetMaximum(4);
+    frameP->SetMinimum(-4);
+    frameP->GetYaxis()->SetLabelFont(42);
+    frameP->GetYaxis()->SetTitleFont(42);    
+    frameP->GetXaxis()->SetLabelFont(42);
+    frameP->GetXaxis()->SetTitleFont(42);
     frameP->GetYaxis()->SetTitleOffset(0.5);
-    frameP->GetXaxis()->SetTitleSize(0.09);
-    frameP->GetXaxis()->SetTitleOffset(1.0);
-    frameP->GetXaxis()->SetLabelSize(0.07);
-    frameP->GetYaxis()->SetLabelSize(0.06);
+    frameP->GetYaxis()->SetTitleSize((1.-xPad)/xPad*0.05);
+    frameP->GetXaxis()->SetTitleSize((1.-xPad)/xPad*0.05);
+    frameP->GetXaxis()->SetLabelSize((1.-xPad)/xPad*0.04);
+    frameP->GetYaxis()->SetLabelSize((1.-xPad)/xPad*0.04);
+
+
     frameP->Draw();
     
     
     TLine *line=new TLine(range_lo_1, 0, range_hi_1, 0);
-    line->SetLineWidth(2);
+    line->SetLineWidth(1);
     line->Draw();
     
     string tag;
@@ -547,8 +633,9 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     else tag="SR";
     c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.png").c_str());
     c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.pdf").c_str());
- 
-    
+    c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.root").c_str());
+
+
     TCanvas *c_novo_1=new TCanvas("c_novo_1", "c_novo_1", 700*(1.-xPad), 700);
     c_novo_1->SetFillStyle(4000);
     c_novo_1->SetFrameFillColor(0);
@@ -557,10 +644,11 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     p_3->SetFillStyle(4000);
     p_3->SetFrameFillColor(0);
     p_3->SetBottomMargin(0.02);
-    
+    p_3->SetLeftMargin(0.15);     
     TPad* p_4 = new TPad("p_4", "p_4",0,0,1,xPad);
     p_4->SetBottomMargin((1.-xPad)/xPad*0.13);
     p_4->SetTopMargin(0.03);
+    p_4->SetLeftMargin(0.15);     
     p_4->SetFillColor(0);
     p_4->SetBorderMode(0);
     p_4->SetBorderSize(2);
@@ -574,10 +662,72 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     
     RooPlot *frame_novo_1=x_2->frame();
     pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    //f_crystal_1.plotOn(frame_novo_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3001));
-    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));
-    //f_crystal_1.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
-    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
+    //f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));
+    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue), RooFit::LineWidth(3));
+
+
+    //correct error bands for LMR2
+    TGraph* error_curve_2[5];     
+
+    for (int i=2; i!=5; ++i) {
+        error_curve_2[i] = new TGraph();
+    }
+
+    error_curve_2[2] = (TGraph*)frame_novo_1->getObject(1)->Clone("errs");
+    int nPoints_2 = error_curve_2[2]->GetN();
+    error_curve_2[0] = new TGraph(2*nPoints_2);
+    error_curve_2[1] = new TGraph(2*nPoints_2);
+    error_curve_2[0]->SetFillStyle(1001);
+    error_curve_2[1]->SetFillStyle(1001);
+    error_curve_2[0]->SetFillColor(kGreen);
+    error_curve_2[1]->SetFillColor(kYellow);
+    error_curve_2[0]->SetLineColor(kGreen);
+    error_curve_2[1]->SetLineColor(kYellow);
+
+    RooDataHist pred2("pred2", "Prediction ABCD/SR", RooArgList(*x_2), h_ABCD); 
+    error_curve_2[3]->SetFillStyle(1001);
+    error_curve_2[4]->SetFillStyle(1001);
+    error_curve_2[3]->SetFillColor(kGreen);
+    error_curve_2[4]->SetFillColor(kYellow);
+    error_curve_2[3]->SetLineColor(kGreen);
+    error_curve_2[4]->SetLineColor(kYellow);
+    error_curve_2[2]->SetLineColor(kBlue);
+    error_curve_2[2]->SetLineWidth(3);
+        
+    double binSize_2 = rebin;
+
+    for (int i=0; i!=nPoints_2; ++i) {
+            double x0_2,y0_2, x1_2,y1_2;
+            double lim_2;
+            error_curve_2[2]->GetPoint(i,x0_2,y0_2);
+
+            if (hist.substr(0,7)=="h_mX_SB"){lim_2=5000;}
+            else {lim_2=50000000000;} 
+            RooAbsReal* nlim_2 = new RooRealVar("nlim_2","y0_2",y0_2,-lim_2,lim_2);            
+            double lowedge_2 = x0_2 - binSize_2/2.;
+            double upedge_2 = x0_2 + binSize_2/2.;        
+            x_2->setRange("errRange",lowedge_2,upedge_2);
+            RooExtendPdf* epdf_2 = new RooExtendPdf("epdf_2","extpdf",f_novo, *nlim_2,"errRange");
+            // Construct unbinned likelihood
+            RooAbsReal* nll_2 = epdf_2->createNLL(pred2,RooFit::NumCPU(2));
+            // Minimize likelihood w.r.t all parameters before making plots
+            RooMinimizer* minim_2 = new RooMinimizer(*nll_2);
+            minim_2->setMinimizerType("Minuit2");
+            minim_2->setStrategy(2);
+            minim_2->setPrintLevel(-1);
+            minim_2->migrad();
+            minim_2->hesse();
+            RooFitResult* result_2 = minim_2->lastMinuitFit();
+            double errm_2 = nlim_2->getPropagatedError(*result_2);
+            error_curve_2[0]->SetPoint(i,x0_2,(y0_2-errm_2));
+            error_curve_2[0]->SetPoint(2*nPoints_2-i-1,x0_2,y0_2+errm_2);
+            error_curve_2[1]->SetPoint(i,x0_2,(y0_2-2*errm_2));
+            error_curve_2[1]->SetPoint(2*nPoints_2-i-1,x0_2,(y0_2+2*errm_2));
+            error_curve_2[3]->SetPoint(i,x0_2,-errm_2/sqrt(y0_2));
+            error_curve_2[3]->SetPoint(2*nPoints_2-i-1,x0_2,errm_2/sqrt(y0_2));
+            error_curve_2[4]->SetPoint(i,x0_2,-2*errm_2/sqrt(y0_2));
+            error_curve_2[4]->SetPoint(2*nPoints_2-i-1,x0_2,2*errm_2/sqrt(y0_2));            
+    }
     
     
     if (log=="log") frame_novo_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5);
@@ -585,14 +735,20 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     frame_novo_1->GetXaxis()->SetLabelOffset(0.03);
     frame_novo_1->GetYaxis()->SetLabelFont(42);
     frame_novo_1->GetYaxis()->SetTitleFont(42);
-    frame_novo_1->GetYaxis()->SetTitleOffset(1.25);
-    frame_novo_1->Draw("same");
+    frame_novo_1->GetYaxis()->SetTitleOffset(1.6);
     frame_novo_1->SetTitle(("; m_{X} (GeV); Events / "+itoa(h_mX_SR->GetBinWidth(1))+" GeV").c_str());
+    frame_novo_1->Draw("");
+    error_curve_2[1]->Draw("Fsame");
+    error_curve_2[0]->Draw("Fsame");
+    error_curve_2[2]->Draw("Lsame");
+    frame_novo_1->Draw("axis p e same");
+
     if (log=="log") p_3->SetLogy();
     
     TPaveText *pave_1 = new TPaveText(0.65,0.57,0.85,0.72,"NDC");
     pave_1->SetBorderSize(0);
     pave_1->SetTextSize(0.03);
+    pave_1->SetTextFont(42); 
     pave_1->SetLineColor(1);
     pave_1->SetLineStyle(1);
     pave_1->SetLineWidth(2);
@@ -600,20 +756,12 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     pave_1->SetFillStyle(0);
     char name_1[1000];
     char name_11[1000];
-    /*if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name_1,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
-        sprintf(name_11,"p-value_crystal = %.2f",pvalue_crystal_1);
-    }
-    else sprintf(name_1,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
-    pave_1->AddText(name_1);
-    pave_1->AddText(name_11);*/
+
     if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name_1,"#chi^{2}/n = %.2f",fitChi2_Novo);
-        //sprintf(name_11,"p-value_novo = %.2f",pvalue_novo);
+        sprintf(name_1,"#chi^{2} = %.2f",fitChi2_Novo*fitNDF_Novo);
     }
-    else sprintf(name_1,"#chi^{2}/n = %.2f",fitChi2_Novo);
+    else sprintf(name_1,"#chi^{2} = %.2f",fitChi2_Novo*fitNDF_Novo);
     pave_1->AddText(name_1);
-    //pave_1->AddText(name_11);
     pave_1->Draw();
     
     TLatex * tPrel_1 = new TLatex();
@@ -624,6 +772,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     TLegend *leg_1 = new TLegend(0.61, 0.72,0.75,0.89,NULL,"brNDC");
     leg_1->SetBorderSize(0);
     leg_1->SetTextSize(0.035);
+    leg_1->SetTextFont(42);
     leg_1->SetLineColor(1);
     leg_1->SetLineStyle(1);
     leg_1->SetLineWidth(2);
@@ -634,14 +783,18 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
         h_mX_SR->SetLineColor(kBlack);
         h_mX_SR->SetMarkerColor(kBlack);
         leg_1->AddEntry(h_mX_SR, "Data of ABCD-SR", "ep");
-        
+        leg_1->AddEntry(error_curve[2], "Novosibirsk fit", "l");
+        leg_1->AddEntry(error_curve[0], "Fit #pm1#sigma", "f");
+        leg_1->AddEntry(error_curve[1], "Fit #pm2#sigma", "f");    
+    }
+    else{ 
+        leg_1->AddEntry(h_mX_SR, "Data in SR", "ep");
+    leg_1->AddEntry(error_curve[2], "Novosibirsk fit", "l");
+    leg_1->AddEntry(error_curve[0], "Fit #pm1#sigma", "f");
+    leg_1->AddEntry(error_curve[1], "Fit #pm2#sigma", "f");
     }
-    else leg_1->AddEntry(h_mX_SR, "Data in SR", "ep");
-    TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kBlue);
-    //TH1F* temp_11 = new TH1F("temp_11", "temp_11", 100, 0,1); temp_11->SetLineWidth(2);
-    //temp_11->SetLineColor(kBlack);
-    //leg_1->AddEntry(temp_11, "CrystalBall fit", "l");
-    leg_1->AddEntry(temp_1, "Novorsibisk fit", "l");
+    //TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kBlue);
+    //leg_1->AddEntry(temp_1, "Novorsibisk fit", "l");
     leg_1->Draw();
     
     CMS_lumi( p_3, iPeriod, iPos );
@@ -649,34 +802,32 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     p_4->cd();
     RooHist *hpull_1, *hpull_11;
     hpull_1 = frame_novo->pullHist();
-    hpull_1->SetLineWidth(2);
-    //hpull_11 = frame_crystal_1->pullHist();
-    //hpull_11->SetLineStyle(kDashed);
-    //hpull_11->SetLineColor(kRed);
-    //hpull_11->SetMarkerSize(0.6);
-    //hpull_11->SetMarkerColor(kRed);
+    hpull_1->SetLineWidth(1);
     RooPlot* frameP_1 = x_2->frame() ;
     
     frameP_1->SetTitle("; m_{X} (GeV); Pull");
     frameP_1->addPlotable(hpull_1,"P");
-    //frameP_1->addPlotable(hpull_11,"P same");
-    frameP_1->GetYaxis()->SetTitleSize(0.07);
-    frameP_1->GetYaxis()->SetTitleOffset(0.5);
-    frameP_1->GetXaxis()->SetTitleSize(0.09);
-    frameP_1->GetXaxis()->SetTitleOffset(1.0);
-    frameP_1->GetXaxis()->SetLabelSize(0.07);
-    frameP_1->GetYaxis()->SetLabelSize(0.06);
+    frameP_1->SetMaximum(4);
+    frameP_1->SetMinimum(-4);
+    frameP_1->GetYaxis()->SetLabelFont(42);
+    frameP_1->GetYaxis()->SetTitleFont(42);    
+    frameP_1->GetXaxis()->SetLabelFont(42);
+    frameP_1->GetXaxis()->SetTitleFont(42);
+    frameP_1->GetYaxis()->SetTitleOffset(0.5);    
+    frameP_1->GetYaxis()->SetTitleSize((1.-xPad)/xPad*0.05);
+    frameP_1->GetXaxis()->SetTitleSize((1.-xPad)/xPad*0.05);
+    frameP_1->GetXaxis()->SetLabelSize((1.-xPad)/xPad*0.04);
+    frameP_1->GetYaxis()->SetLabelSize((1.-xPad)/xPad*0.04);
     frameP_1->Draw();
     
-    
     TLine *line_1=new TLine(range_lo_2, 0, range_hi_2, 0);
-    line_1->SetLineWidth(2);
+    line_1->SetLineWidth(1);
     line_1->Draw();
     
     c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.png").c_str());
     c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.pdf").c_str());
-        
-    
+    c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.root").c_str());
+
     TH1F *h_mX_SR_fakeData=(TH1F*)h_mX_SR->Clone("h_mX_SR_fakeData");
     h_mX_SR_fakeData->Scale(nEventsSR/h_mX_SR_fakeData->GetSumOfWeights());
     
@@ -724,8 +875,6 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     std::cout<<"par_crystal_2   param   "<<par_crystal_2.getVal()<<" "<<par_crystal_2.getError()<<std::endl;
     std::cout<<"par_crystal_3   param   "<<par_crystal_3.getVal()<<" "<<par_crystal_3.getError()<<std::endl;
     
-    
-    
     std::cout<<"par_crystal_1_0   param   "<<par_crystal_1_0.getVal()<<" "<<par_crystal_1_0.getError()<<std::endl;
     std::cout<<"par_crystal_1_1   param   "<<par_crystal_1_1.getVal()<<" "<<par_crystal_1_1.getError()<<std::endl;
     std::cout<<"par_crystal_1_2   param   "<<par_crystal_1_2.getVal()<<" "<<par_crystal_1_2.getError()<<std::endl;
diff --git a/BackgroundPrediction_Kinematic_Split_MMR.c b/BackgroundPrediction_Kinematic_Split_MMR.c
index 3aaa1cc..7d76262 100644
--- a/BackgroundPrediction_Kinematic_Split_MMR.c
+++ b/BackgroundPrediction_Kinematic_Split_MMR.c
@@ -307,7 +307,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     
     
     //Novosibirsk fit
-    RooRealVar par_novo_0("par_novo_0", "par_novo_0", 300, 445);
+    RooRealVar par_novo_0("par_novo_0", "par_novo_0", 300, 450); //445 originally
     RooRealVar par_novo_1("par_novo_1", "par_novo_1", 0.01, 300);
     RooRealVar par_novo_2("par_novo_2", "par_novo_2", -10, 1);
     RooNovosibirsk f_novo("f_novo", "Background Prediction PDF", *x_2, par_novo_0, par_novo_1, par_novo_2);
@@ -318,6 +318,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     f_novo.plotOn(frame_novo, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
     f_novo.plotOn(frame_novo, RooFit::LineColor(kBlue+1));
     double fitChi2_Novo=frame_novo->chiSquare();
+    double fitNDF_Novo=int((range_hi_2-range_lo_2)/rebin)-3;
     RooAbsReal* chi2_novo = f_novo.createChi2(pred_2);
     double pvalue_novo=TMath::Prob(chi2_novo->getVal(),int((range_hi_2-range_lo_2)/rebin)-3);
     
@@ -393,7 +394,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     c_crystal_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+type+".png").c_str());
 
 
-    //LMR 1 gauss exp only            
+    //MMR 1 gauss exp only            
     double xPad = 0.3;
     TCanvas *c_gaus_exp_1=new TCanvas("c_gaus_exp_1", "c_gaus_exp_1", 700*(1.-xPad), 700);
     c_gaus_exp_1->SetFillStyle(4000);
@@ -421,10 +422,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     RooPlot *frame_gaus_exp_1=x_1->frame();
     pred_1.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::MarkerColor(kBlack));
     f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kRed), RooFit::FillStyle(3004));
-    //f_crystal.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_crystal, 1), RooFit::FillColor(kRed+1), RooFit::FillStyle(3001));
     f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(6));
-    //f_crystal.plotOn(frame_gaus_exp_1, RooFit::LineColor(kRed), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
-    
     
     if (log=="log") frame_gaus_exp_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5.);
     else frame_gaus_exp_1->GetYaxis()->SetRangeUser(0, h_mX_SR->GetMaximum()*1.2);
@@ -439,6 +437,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     TPaveText *pave = new TPaveText(0.65,0.57,0.83,0.72,"NDC");
     pave->SetBorderSize(0);
     pave->SetTextSize(0.03);
+    pave->SetTextFont(42);    
     pave->SetLineColor(1);
     pave->SetLineStyle(1);
     pave->SetLineWidth(2);
@@ -453,14 +452,6 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     else sprintf(name,"SR_gaus_exp #chi^{2}/n = %.2f",fitChi2_gaus_exp);
     pave->AddText(name);
     pave->AddText(name1);
-    /* if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
-        sprintf(name1,"p-value_crystal = %.2f",pvalue_crystal);
-    }
-    else sprintf(name,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal);
-    pave->AddText(name);
-    pave->AddText(name1);
-    */
     pave->Draw();
     
     TLatex * tPrel = new TLatex();
@@ -486,9 +477,6 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     else leg->AddEntry(h_mX_SR, "Data in SR", "ep");
     TH1F * temp = new TH1F("temp", "temp", 100, 0,1); temp->SetLineWidth(2);  temp->SetLineColor(kBlue);
     leg->AddEntry(temp, "GaussExp fit", "l");
-    //TH1F * temp1 = new TH1F("temp1", "temp1", 100, 0,1); temp1->SetLineWidth(2);
-    //temp1->SetLineColor(kRed);
-    //leg->AddEntry(temp1, "CrystalBall fit", "l");
     leg->Draw();
     
     CMS_lumi( p_1, iPeriod, iPos );
@@ -496,17 +484,11 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     p_2->cd();
     RooHist *hpull, *hpull1;
     hpull = frame_gaus_exp->pullHist();
-    hpull->SetLineWidth(2);
-    //hpull1 = frame_crystal->pullHist();
-    //hpull1->SetMarkerColor(kRed);
-    //hpull1->SetLineStyle(kDashed);
-    //hpull1->SetMarkerSize(0.6);
-    //hpull1->SetLineColor(kRed);
+    hpull->SetLineWidth(1);
     RooPlot* frameP = x_1->frame() ;
     
     frameP->SetTitle("; m_{X} (GeV); Pull");
     frameP->addPlotable(hpull,"P");
-    //frameP->addPlotable(hpull1,"P same");
     frameP->GetYaxis()->SetTitleSize(0.07);
     frameP->GetYaxis()->SetTitleOffset(0.5);
     frameP->GetXaxis()->SetTitleSize(0.09);
@@ -517,7 +499,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     
     
     TLine *line=new TLine(range_lo_1, 0, range_hi_1, 0);
-    line->SetLineWidth(2);
+    line->SetLineWidth(1);
     line->Draw();
     
     string tag;
@@ -525,9 +507,9 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     else tag="SR";
     c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.png").c_str());
     c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.pdf").c_str());
- 
+    c_gaus_exp_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_1.root").c_str());
 
-    //LMR2 unblind   
+    //MMR2 novosibirsk only  
     TCanvas *c_novo_1=new TCanvas("c_novo_1", "c_novo_1", 700*(1.-xPad), 700);
     c_novo_1->SetFillStyle(4000);
     c_novo_1->SetFrameFillColor(0);
@@ -535,10 +517,12 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     TPad *p_3=new TPad("p_3", "p_3", 0, xPad, 1, 1);
     p_3->SetFillStyle(4000);
     p_3->SetFrameFillColor(0);
+    p_3->SetLeftMargin(0.15);    
     p_3->SetBottomMargin(0.02);
     
     TPad* p_4 = new TPad("p_4", "p_4",0,0,1,xPad);
     p_4->SetBottomMargin((1.-xPad)/xPad*0.13);
+    p_4->SetLeftMargin(0.15); 
     p_4->SetTopMargin(0.03);
     p_4->SetFillColor(0);
     p_4->SetBorderMode(0);
@@ -553,25 +537,93 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     
     RooPlot *frame_novo_1=x_2->frame();
     pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    //f_crystal_1.plotOn(frame_novo_1, RooFit::VisualizeError(*r_crystal_1, 1), RooFit::FillColor(kBlack), RooFit::FillStyle(3001));
-    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));
-    //f_crystal_1.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::LineWidth(6));
-    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue), RooFit::LineWidth(3), RooFit::LineStyle(kDashed) );
-    
-    
+    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue));
+
+    //correct error bands
+    TGraph* error_curve[5];    
+
+    for (int i=2; i!=5; ++i) {
+        error_curve[i] = new TGraph();
+    }
+
+    error_curve[2] = (TGraph*)frame_novo_1->getObject(1)->Clone("errs");
+    int nPoints = error_curve[2]->GetN();
+    error_curve[0] = new TGraph(2*nPoints);
+    error_curve[1] = new TGraph(2*nPoints);
+    error_curve[0]->SetFillStyle(1001);
+    error_curve[1]->SetFillStyle(1001);
+    error_curve[0]->SetFillColor(kGreen);
+    error_curve[1]->SetFillColor(kYellow);
+    error_curve[0]->SetLineColor(kGreen);
+    error_curve[1]->SetLineColor(kYellow);
+
+    RooDataHist pred2("pred2", "SR/SB histogram", RooArgList(*x_2), h_SR);
+    error_curve[3]->SetFillStyle(1001);
+    error_curve[4]->SetFillStyle(1001);
+    error_curve[3]->SetFillColor(kGreen);
+    error_curve[4]->SetFillColor(kYellow);
+    error_curve[3]->SetLineColor(kGreen);
+    error_curve[4]->SetLineColor(kYellow);
+    error_curve[2]->SetLineColor(kBlue);
+    error_curve[2]->SetLineWidth(3);
+        
+    double binSize = rebin;
+
+    for (int i=0; i!=nPoints; ++i) {
+            double x0,y0, x1,y1,lim;
+            error_curve[2]->GetPoint(i,x0,y0);
+
+            if (hist.substr(0,7)=="h_mX_SB"){lim=10500;}
+            else{lim =100000;}
+
+            RooAbsReal* nlim = new RooRealVar("nlim","y0",y0,-lim,lim);
+            double lowedge = x0 - binSize/2.;
+            double upedge = x0 + binSize/2.;        
+            x_2->setRange("errRange",lowedge,upedge);
+            RooExtendPdf* epdf = new RooExtendPdf("epdf","extpdf",f_novo, *nlim,"errRange");
+         
+            // Construct unbinned likelihood
+            RooAbsReal* nll = epdf->createNLL(pred2,RooFit::NumCPU(2));
+            // Minimize likelihood w.r.t all parameters before making plots
+            RooMinimizer* minim = new RooMinimizer(*nll);
+            minim->setMinimizerType("Minuit2");
+            minim->setStrategy(2);
+            minim->setPrintLevel(-1);
+            minim->migrad();
+            minim->hesse();
+            RooFitResult* result = minim->lastMinuitFit();
+            double errm = nlim->getPropagatedError(*result);
+            
+            error_curve[0]->SetPoint(i,x0,(y0-errm));
+            error_curve[0]->SetPoint(2*nPoints-i-1,x0,y0+errm);
+            error_curve[1]->SetPoint(i,x0,(y0-2*errm));
+            error_curve[1]->SetPoint(2*nPoints-i-1,x0,(y0+2*errm));
+            error_curve[3]->SetPoint(i,x0,-errm/sqrt(y0));
+            error_curve[3]->SetPoint(2*nPoints-i-1,x0,errm/sqrt(y0));
+            error_curve[4]->SetPoint(i,x0,-2*errm/sqrt(y0));
+            error_curve[4]->SetPoint(2*nPoints-i-1,x0,2*errm/sqrt(y0));            
+    }
+
+
     if (log=="log") frame_novo_1->GetYaxis()->SetRangeUser(1e-4, h_mX_SR->GetMaximum()*5);
     else frame_novo_1->GetYaxis()->SetRangeUser(0, h_mX_SR->GetMaximum()*1.2);
-    frame_novo_1->GetXaxis()->SetLabelOffset(0.03);
+    frame_novo_1->GetXaxis()->SetLabelOffset(0.05);
     frame_novo_1->GetYaxis()->SetLabelFont(42);
     frame_novo_1->GetYaxis()->SetTitleFont(42);
-    frame_novo_1->GetYaxis()->SetTitleOffset(1.25);
-    frame_novo_1->Draw("same");
+    frame_novo_1->GetYaxis()->SetTitleOffset(1.6);
+    frame_novo_1->Draw();
     frame_novo_1->SetTitle(("; m_{X} (GeV); Events / "+itoa(h_mX_SR->GetBinWidth(1))+" GeV").c_str());
+    error_curve[1]->Draw("Fsame");
+    error_curve[0]->Draw("Fsame");
+    error_curve[2]->Draw("Lsame");
+    frame_novo_1->Draw("same");
+
     if (log=="log") p_3->SetLogy();
     
     TPaveText *pave_1 = new TPaveText(0.65,0.57,0.85,0.72,"NDC");
     pave_1->SetBorderSize(0);
     pave_1->SetTextSize(0.03);
+    pave_1->SetTextFont(42);    
     pave_1->SetLineColor(1);
     pave_1->SetLineStyle(1);
     pave_1->SetLineWidth(1);
@@ -579,21 +631,12 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     pave_1->SetFillStyle(0);
     char name_1[1000];
     char name_11[1000];
-    /*if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name_1,"SB_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
-        sprintf(name_11,"p-value_crystal = %.2f",pvalue_crystal_1);
-    }
-    else sprintf(name_1,"SR_crystal #chi^{2}/n = %.2f",fitChi2_crystal_1);
-    pave_1->AddText(name_1);
-    pave_1->AddText(name_11);
-    */
+
     if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name_1,"#chi^{2}/n = %.2f",fitChi2_Novo);
-//        sprintf(name_11,"p-value_novo = %.2f",pvalue_novo);
+        sprintf(name_1,"#chi^{2} = %.2f",fitChi2_Novo*fitNDF_Novo);
     }
-    else sprintf(name_1,"#chi^{2}/n = %.2f",fitChi2_Novo);
+    else sprintf(name_1,"#chi^{2} = %.2f",fitChi2_Novo*fitNDF_Novo);
     pave_1->AddText(name_1);
-    //pave_1->AddText(name_11);
     pave_1->Draw();
     
     TLatex * tPrel_1 = new TLatex();
@@ -605,6 +648,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     leg_1->SetBorderSize(0);
     leg_1->SetTextSize(0.035);
     leg_1->SetLineColor(1);
+    leg_1->SetTextFont(42);
     leg_1->SetLineStyle(1);
     leg_1->SetLineWidth(2);
     leg_1->SetFillColor(0);
@@ -614,14 +658,19 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
         h_mX_SR->SetLineColor(kBlack);
         h_mX_SR->SetMarkerColor(kBlack);
         leg_1->AddEntry(h_mX_SR, "Data in SB", "ep");
-        
+        leg_1->AddEntry(error_curve[2], "Novosibirsk fit", "l");
+        leg_1->AddEntry(error_curve[0], "Fit #pm1#sigma", "f");
+        leg_1->AddEntry(error_curve[1], "Fit #pm2#sigma", "f");        
+    }
+    else {leg_1->AddEntry(h_mX_SR, "Data in SR", "ep");
+    leg_1->AddEntry(error_curve[2], "Novosibirsk fit", "l");
+    leg_1->AddEntry(error_curve[0], "Fit #pm1#sigma", "f");
+    leg_1->AddEntry(error_curve[1], "Fit #pm2#sigma", "f");
     }
-    else leg_1->AddEntry(h_mX_SR, "Data in SR", "ep");
-    TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kBlue);
-    TH1F* temp_11 = new TH1F("temp_11", "temp_11", 100, 0,1); temp_11->SetLineWidth(2);
-    temp_11->SetLineColor(kBlack);
-    //leg_1->AddEntry(temp_11, "CrystalBall fit", "l");
-    leg_1->AddEntry(temp_1, "Novorsibisk fit", "l");
+    //TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2);  temp_1->SetLineColor(kBlue);
+    //TH1F* temp_11 = new TH1F("temp_11", "temp_11", 100, 0,1); temp_11->SetLineWidth(2);
+    //temp_11->SetLineColor(kBlack);
+    //leg_1->AddEntry(temp_1, "Novorsibisk fit", "l");
     leg_1->Draw();
     
     CMS_lumi( p_3, iPeriod, iPos );
@@ -629,37 +678,35 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     p_4->cd();
     RooHist *hpull_1, *hpull_11;
     hpull_1 = frame_novo->pullHist();
-    hpull_1->SetLineWidth(2);
-    //hpull_11 = frame_crystal_1->pullHist();
-    //hpull_11->SetLineStyle(kDashed);
-    //hpull_11->SetLineColor(kRed);
-    //hpull_11->SetMarkerSize(0.6);
-    //hpull_11->SetMarkerColor(kRed);
+    hpull_1->SetLineWidth(1);
     RooPlot* frameP_1 = x_2->frame() ;
-    
+    frameP_1->GetYaxis()->SetTitleSize(0.07);    
     frameP_1->SetTitle("; m_{X} (GeV); Pull");
     frameP_1->addPlotable(hpull_1,"P");
-    //frameP_1->addPlotable(hpull_11,"P same");
-    frameP_1->GetYaxis()->SetTitleSize(0.07);
-    frameP_1->GetYaxis()->SetTitleOffset(0.5);
-    frameP_1->GetXaxis()->SetTitleSize(0.09);
-    frameP_1->GetXaxis()->SetTitleOffset(1.0);
-    frameP_1->GetXaxis()->SetLabelSize(0.07);
-    frameP_1->GetYaxis()->SetLabelSize(0.06);
+    frameP_1->SetMaximum(4);
+    frameP_1->SetMinimum(-4);
+    frameP_1->GetYaxis()->SetLabelFont(42);
+    frameP_1->GetYaxis()->SetTitleFont(42);    
+    frameP_1->GetXaxis()->SetLabelFont(42);
+    frameP_1->GetXaxis()->SetTitleFont(42);
+    frameP_1->GetYaxis()->SetTitleOffset(0.5);    
+    frameP_1->GetYaxis()->SetTitleSize((1.-xPad)/xPad*0.05);
+    frameP_1->GetXaxis()->SetTitleSize((1.-xPad)/xPad*0.05);
+    frameP_1->GetXaxis()->SetLabelSize((1.-xPad)/xPad*0.04);
+    frameP_1->GetYaxis()->SetLabelSize((1.-xPad)/xPad*0.04);
     frameP_1->Draw();
     
     
     TLine *line_1=new TLine(range_lo_2, 0, range_hi_2, 0);
-    line_1->SetLineWidth(2);
+    line_1->SetLineWidth(1);
     line_1->Draw();
     
     c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.png").c_str());
     c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.pdf").c_str());
-    
+    c_novo_1->SaveAs((dest_dir+"/"+"BackgroundFit_"+tag+"_Split_2.root").c_str());
     
     TH1F *h_mX_SR_fakeData=(TH1F*)h_mX_SR->Clone("h_mX_SR_fakeData");    
     h_mX_SR_fakeData->Scale(nEventsSR/h_mX_SR_fakeData->GetSumOfWeights());
-
     
     RooDataHist data_obs_crystal(Form("data_obs_crystal_%d_%d",range_lo_1, range_hi_1), "Data", RooArgList(*x_1), h_mX_SR_fakeData);
     RooDataHist data_obs_gaus_exp(Form("data_obs_gaus_exp_%d_%d",range_lo_1, range_hi_1), "Data", RooArgList(*x_1), h_mX_SR_fakeData);

From 5136db807abe7d531b2667f506bef2ddde359087 Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Thu, 26 Oct 2017 09:21:49 -0500
Subject: [PATCH 08/11] New errorbars

---
 BackgroundPrediction_Kinematic_Split_MMR.c | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/BackgroundPrediction_Kinematic_Split_MMR.c b/BackgroundPrediction_Kinematic_Split_MMR.c
index 7d76262..8a41edb 100644
--- a/BackgroundPrediction_Kinematic_Split_MMR.c
+++ b/BackgroundPrediction_Kinematic_Split_MMR.c
@@ -537,9 +537,10 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     
     RooPlot *frame_novo_1=x_2->frame();
     pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
+    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kRed), RooFit::FillStyle(3004));
     f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue));
 
-    //correct error bands
+    //correct error bands MMR
     TGraph* error_curve[5];    
 
     for (int i=2; i!=5; ++i) {

From b99148de54150c91c898f8c75199e11acaa4300c Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Thu, 26 Oct 2017 09:23:34 -0500
Subject: [PATCH 09/11] New errorbars

---
 BackgroundPrediction_Kinematic_Split_MMR.c | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/BackgroundPrediction_Kinematic_Split_MMR.c b/BackgroundPrediction_Kinematic_Split_MMR.c
index 8a41edb..4ba349f 100644
--- a/BackgroundPrediction_Kinematic_Split_MMR.c
+++ b/BackgroundPrediction_Kinematic_Split_MMR.c
@@ -537,7 +537,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     
     RooPlot *frame_novo_1=x_2->frame();
     pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
-    f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kRed), RooFit::FillStyle(3004));
+    //f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kRed), RooFit::FillStyle(3004));
     f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue));
 
     //correct error bands MMR

From 42fceb526ca1330dabecc6b6f674bb108fa68ea9 Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Fri, 29 Dec 2017 01:24:20 -0600
Subject: [PATCH 10/11] Updates

---
 BackgroundPrediction_Kinematic_Split.c     |  59 ++--
 BackgroundPrediction_Kinematic_Split_MMR.c |  32 +-
 DisplayCutFlow.cc                          | 382 +++++++++++++++++++++
 3 files changed, 429 insertions(+), 44 deletions(-)
 create mode 100644 DisplayCutFlow.cc

diff --git a/BackgroundPrediction_Kinematic_Split.c b/BackgroundPrediction_Kinematic_Split.c
index 42dee02..65f6fa3 100644
--- a/BackgroundPrediction_Kinematic_Split.c
+++ b/BackgroundPrediction_Kinematic_Split.c
@@ -202,7 +202,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     gStyle->SetPadGridY(0);
     gStyle->SetOptStat(0000);
     writeExtraText = true;
-    extraText  = "Preliminary";
+    extraText  = "";
     lumi_13TeV  = "35.9 fb^{-1}";
 
 
@@ -280,7 +280,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     f_crystal.plotOn(frame_crystal, RooFit::VisualizeError(*r_crystal, 1.), RooFit::FillColor(kGray+1), RooFit::FillStyle(3001));
     f_crystal.plotOn(frame_crystal, RooFit::LineColor(kBlue+1));
     double fitChi2_crystal=frame_crystal->chiSquare();
-    RooAbsReal* chi2_crystal = f_crystal.createChi2(pred_1);
+    RooAbsReal* chi2_crystal = f_crystal.createChi2(pred_1);    
     double pvalue_crystal=TMath::Prob(chi2_crystal->getVal(),int((range_hi_1-range_lo_1)/rebin)-3);
     
     TCanvas *c_crystal=new TCanvas("c_crystal", "c_crystal", 700, 700);
@@ -464,7 +464,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     RooPlot *frame_gaus_exp_1=x_1->frame();
     pred_1.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
     //f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::VisualizeError(*r_gaus_exp, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));    
-    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlue));
+    f_gaus_exp.plotOn(frame_gaus_exp_1, RooFit::LineColor(kBlue),RooFit::LineWidth(1));
     
     //correct error bands for LMR1
     TGraph* error_curve[5];      
@@ -479,20 +479,20 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     error_curve[1] = new TGraph(2*nPoints);
     error_curve[0]->SetFillStyle(1001);
     error_curve[1]->SetFillStyle(1001);
-    error_curve[0]->SetFillColor(kGreen);
-    error_curve[1]->SetFillColor(kYellow);
-    error_curve[0]->SetLineColor(kGreen);
-    error_curve[1]->SetLineColor(kYellow);
+    error_curve[0]->SetFillColor(kGreen+1);
+    error_curve[1]->SetFillColor(kOrange);
+    error_curve[0]->SetLineColor(kGreen+1);
+    error_curve[1]->SetLineColor(kOrange);
 
     RooDataHist pred1("pred1", "Prediction ABCD/SR", RooArgList(*x_1), h_ABCD); 
     error_curve[3]->SetFillStyle(1001);
     error_curve[4]->SetFillStyle(1001);
-    error_curve[3]->SetFillColor(kGreen);
-    error_curve[4]->SetFillColor(kYellow);
-    error_curve[3]->SetLineColor(kGreen);
-    error_curve[4]->SetLineColor(kYellow);
+    error_curve[3]->SetFillColor(kGreen+1);
+    error_curve[4]->SetFillColor(kOrange);
+    error_curve[3]->SetLineColor(kGreen+1);
+    error_curve[4]->SetLineColor(kOrange);
     error_curve[2]->SetLineColor(kBlue);
-    error_curve[2]->SetLineWidth(3);
+    error_curve[2]->SetLineWidth(1);
         
     double binSize = rebin;
 
@@ -558,10 +558,11 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     pave->SetFillStyle(0);
     char name[1000];
     char name1[1000];
+    cout<<"This is the ndf of GaussExp LMR1: "<<fitNDF_gaus_exp<<endl;    
     if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name,"#chi^{2} = %.2f",fitChi2_gaus_exp*fitNDF_gaus_exp);
+        sprintf(name,"#chi^{2} = %.2f", fitChi2_gaus_exp);
     }
-    else sprintf(name,"#chi^{2} = %.2f",fitChi2_gaus_exp*fitNDF_gaus_exp);
+    else sprintf(name,"#chi^{2} = %.2f", fitChi2_gaus_exp);
     pave->AddText(name);
     pave->Draw();
     
@@ -606,7 +607,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     hpull->SetLineWidth(1);
     RooPlot* frameP = x_1->frame() ;
     
-    frameP->SetTitle("; m_{X} (GeV); Pull");
+    frameP->SetTitle("; m_{X} (GeV); #frac{Data-Fit}{Uncertainty}");
     frameP->addPlotable(hpull,"P");
     frameP->SetMaximum(4);
     frameP->SetMinimum(-4);
@@ -663,7 +664,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     RooPlot *frame_novo_1=x_2->frame();
     pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
     //f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kBlue), RooFit::FillStyle(3004));
-    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue), RooFit::LineWidth(3));
+    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue), RooFit::LineWidth(1));
 
 
     //correct error bands for LMR2
@@ -679,20 +680,20 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     error_curve_2[1] = new TGraph(2*nPoints_2);
     error_curve_2[0]->SetFillStyle(1001);
     error_curve_2[1]->SetFillStyle(1001);
-    error_curve_2[0]->SetFillColor(kGreen);
-    error_curve_2[1]->SetFillColor(kYellow);
-    error_curve_2[0]->SetLineColor(kGreen);
-    error_curve_2[1]->SetLineColor(kYellow);
+    error_curve_2[0]->SetFillColor(kGreen+1);
+    error_curve_2[1]->SetFillColor(kOrange);
+    error_curve_2[0]->SetLineColor(kGreen+1);
+    error_curve_2[1]->SetLineColor(kOrange);
 
     RooDataHist pred2("pred2", "Prediction ABCD/SR", RooArgList(*x_2), h_ABCD); 
     error_curve_2[3]->SetFillStyle(1001);
     error_curve_2[4]->SetFillStyle(1001);
-    error_curve_2[3]->SetFillColor(kGreen);
-    error_curve_2[4]->SetFillColor(kYellow);
-    error_curve_2[3]->SetLineColor(kGreen);
-    error_curve_2[4]->SetLineColor(kYellow);
+    error_curve_2[3]->SetFillColor(kGreen+1);
+    error_curve_2[4]->SetFillColor(kOrange);
+    error_curve_2[3]->SetLineColor(kGreen+1);
+    error_curve_2[4]->SetLineColor(kOrange);
     error_curve_2[2]->SetLineColor(kBlue);
-    error_curve_2[2]->SetLineWidth(3);
+    error_curve_2[2]->SetLineWidth(1);
         
     double binSize_2 = rebin;
 
@@ -756,11 +757,11 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     pave_1->SetFillStyle(0);
     char name_1[1000];
     char name_11[1000];
-
+    cout<<"This is the ndf of Novo LMR2: "<<fitNDF_Novo<<endl;
     if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name_1,"#chi^{2} = %.2f",fitChi2_Novo*fitNDF_Novo);
+         sprintf(name_1,"#chi^{2} = %.2f", fitChi2_Novo);
     }
-    else sprintf(name_1,"#chi^{2} = %.2f",fitChi2_Novo*fitNDF_Novo);
+    else sprintf(name_1,"#chi^{2} = %.2f", fitChi2_Novo);
     pave_1->AddText(name_1);
     pave_1->Draw();
     
@@ -805,7 +806,7 @@ void BackgroundPrediction_Kinematic_Split(int range_lo_1, int range_hi_1, double
     hpull_1->SetLineWidth(1);
     RooPlot* frameP_1 = x_2->frame() ;
     
-    frameP_1->SetTitle("; m_{X} (GeV); Pull");
+    frameP_1->SetTitle("; m_{X} (GeV); #frac{Data-Fit}{Uncertainty}");
     frameP_1->addPlotable(hpull_1,"P");
     frameP_1->SetMaximum(4);
     frameP_1->SetMinimum(-4);
diff --git a/BackgroundPrediction_Kinematic_Split_MMR.c b/BackgroundPrediction_Kinematic_Split_MMR.c
index 4ba349f..045ba4f 100644
--- a/BackgroundPrediction_Kinematic_Split_MMR.c
+++ b/BackgroundPrediction_Kinematic_Split_MMR.c
@@ -202,7 +202,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     gStyle->SetPadGridY(0);
     gStyle->SetOptStat(0000);
     writeExtraText = true;
-    extraText  = "Preliminary";
+    extraText  = "";
     lumi_13TeV  = "35.9 fb^{-1}";
 
 
@@ -280,6 +280,8 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     f_gaus_exp.plotOn(frame_gaus_exp, RooFit::LineColor(kBlue+1));
     double fitChi2_gaus_exp=frame_gaus_exp->chiSquare();
     RooAbsReal* chi2_gaus_exp = f_gaus_exp.createChi2(pred_1);
+    double fitNDF_gaus_exp=int((range_hi_1-range_lo_1)/rebin)-3;
+
     double pvalue_gaus_exp=TMath::Prob(chi2_gaus_exp->getVal(),int((range_hi_1-range_lo_1)/rebin)-3);
     TCanvas *c_gaus_exp=new TCanvas("c_gaus_exp", "c_gaus_exp", 700, 700);
     frame_gaus_exp->Draw();
@@ -538,7 +540,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     RooPlot *frame_novo_1=x_2->frame();
     pred_2.plotOn(frame_novo_1, RooFit::LineColor(kBlack), RooFit::MarkerColor(kBlack));
     //f_novo.plotOn(frame_novo_1, RooFit::VisualizeError(*r_novo, 1), RooFit::FillColor(kRed), RooFit::FillStyle(3004));
-    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue));
+    f_novo.plotOn(frame_novo_1, RooFit::LineColor(kBlue), RooFit::LineWidth(1));
 
     //correct error bands MMR
     TGraph* error_curve[5];    
@@ -553,20 +555,20 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     error_curve[1] = new TGraph(2*nPoints);
     error_curve[0]->SetFillStyle(1001);
     error_curve[1]->SetFillStyle(1001);
-    error_curve[0]->SetFillColor(kGreen);
-    error_curve[1]->SetFillColor(kYellow);
-    error_curve[0]->SetLineColor(kGreen);
-    error_curve[1]->SetLineColor(kYellow);
+    error_curve[0]->SetFillColor(kGreen+1);
+    error_curve[1]->SetFillColor(kOrange);
+    error_curve[0]->SetLineColor(kGreen+1);
+    error_curve[1]->SetLineColor(kOrange);
 
     RooDataHist pred2("pred2", "SR/SB histogram", RooArgList(*x_2), h_SR);
     error_curve[3]->SetFillStyle(1001);
     error_curve[4]->SetFillStyle(1001);
-    error_curve[3]->SetFillColor(kGreen);
-    error_curve[4]->SetFillColor(kYellow);
-    error_curve[3]->SetLineColor(kGreen);
-    error_curve[4]->SetLineColor(kYellow);
+    error_curve[3]->SetFillColor(kGreen+1);
+    error_curve[4]->SetFillColor(kOrange);
+    error_curve[3]->SetLineColor(kGreen+1);
+    error_curve[4]->SetLineColor(kOrange);
     error_curve[2]->SetLineColor(kBlue);
-    error_curve[2]->SetLineWidth(3);
+    error_curve[2]->SetLineWidth(1);
         
     double binSize = rebin;
 
@@ -632,11 +634,11 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     pave_1->SetFillStyle(0);
     char name_1[1000];
     char name_11[1000];
-
+    cout<<"This is the ndf of Novo MMR: "<<fitNDF_Novo<<endl;
     if (hist.substr(0,7)=="h_mX_SB") {
-        sprintf(name_1,"#chi^{2} = %.2f",fitChi2_Novo*fitNDF_Novo);
+        sprintf(name_1,"#chi^{2} = %.2f", fitChi2_Novo);
     }
-    else sprintf(name_1,"#chi^{2} = %.2f",fitChi2_Novo*fitNDF_Novo);
+    else sprintf(name_1,"#chi^{2} = %.2f", fitChi2_Novo);
     pave_1->AddText(name_1);
     pave_1->Draw();
     
@@ -682,7 +684,7 @@ void BackgroundPrediction_Kinematic_Split_MMR(int range_lo_1, int range_hi_1, do
     hpull_1->SetLineWidth(1);
     RooPlot* frameP_1 = x_2->frame() ;
     frameP_1->GetYaxis()->SetTitleSize(0.07);    
-    frameP_1->SetTitle("; m_{X} (GeV); Pull");
+    frameP_1->SetTitle("; m_{X} (GeV); #frac{Data-Fit}{Uncertainty}");
     frameP_1->addPlotable(hpull_1,"P");
     frameP_1->SetMaximum(4);
     frameP_1->SetMinimum(-4);
diff --git a/DisplayCutFlow.cc b/DisplayCutFlow.cc
new file mode 100644
index 0000000..8882623
--- /dev/null
+++ b/DisplayCutFlow.cc
@@ -0,0 +1,382 @@
+#include <TH1F.h>
+#include <TH2F.h>
+#include <TROOT.h>
+#include <TFile.h>
+#include <TTree.h>
+#include <TSystem.h>
+#include <TChain.h>
+#include <TLorentzVector.h>
+#include <TLegend.h>
+#include <TCanvas.h>
+#include <TProfile.h>
+#include <iostream>
+#include <TFractionFitter.h>
+#include <TStyle.h>
+#include <TPaveText.h>
+#include <THStack.h>
+#include <TArrow.h>
+#include <TGraphAsymmErrors.h>
+#include <TLatex.h>
+bool data_sets=false;
+
+bool signaleff=true;
+bool cumeff=true;
+
+int iPeriod = 4;    // 1=7TeV, 2=8TeV, 3=7+8TeV, 7=7+8+13TeV 
+int iPos = 11;
+
+#include "CMS_lumi.h"
+#include <iostream>
+
+
+void
+CMS_lumi( TPad* pad, int iPeriod, int iPosX )
+{
+  bool outOfFrame    = false;
+  if( iPosX/10==0 )
+    {
+      outOfFrame = true;
+    }
+  int alignY_=3;
+  int alignX_=2;
+  if( iPosX/10==0 ) alignX_=1;
+  if( iPosX==0    ) alignX_=1;
+  if( iPosX==0    ) alignY_=1;
+  if( iPosX/10==1 ) alignX_=1;
+  if( iPosX/10==2 ) alignX_=2;
+  if( iPosX/10==3 ) alignX_=3;
+  if( iPosX == 0  ) relPosX = 0.14;
+  int align_ = 10*alignX_ + alignY_;
+
+  float H = pad->GetWh();
+  float W = pad->GetWw();
+  float l = pad->GetLeftMargin();
+  float t = pad->GetTopMargin();
+  float r = pad->GetRightMargin();
+  float b = pad->GetBottomMargin();
+
+  pad->cd();
+
+  TString lumiText;
+  if( iPeriod==1 )
+    {
+      lumiText += lumi_7TeV;
+      lumiText += " (7 TeV)";
+    }
+  else if ( iPeriod==2 )
+    {
+      lumiText += lumi_8TeV;
+      lumiText += " (8 TeV)";
+    }
+  else if( iPeriod==3 )
+    {
+      lumiText = lumi_8TeV;
+      lumiText += " (8 TeV)";
+      lumiText += " + ";
+      lumiText += lumi_7TeV;
+      lumiText += " (7 TeV)";
+    }
+  else if ( iPeriod==4 )
+    {
+      lumiText += lumi_13TeV;
+      lumiText += " (13 TeV)";
+    }
+  else if ( iPeriod==7 )
+    {
+      if( outOfFrame ) lumiText += "#scale[0.85]{";
+      lumiText += lumi_13TeV;
+      lumiText += " (13 TeV)";
+      lumiText += " + ";
+      lumiText += lumi_8TeV;
+      lumiText += " (8 TeV)";
+      lumiText += " + ";
+      lumiText += lumi_7TeV;
+      lumiText += " (7 TeV)";
+      if( outOfFrame) lumiText += "}";
+    }
+  else if ( iPeriod==12 )
+    {
+      lumiText += "8 TeV";
+    }
+  else if ( iPeriod==0 )
+    {
+      lumiText += lumi_sqrtS;
+    }
+
+  std::cout << lumiText << endl;
+
+  TLatex latex;
+  latex.SetNDC();
+  latex.SetTextAngle(0);
+  latex.SetTextColor(kBlack);
+
+  float extraTextSize = extraOverCmsTextSize*cmsTextSize;
+
+  latex.SetTextFont(42);
+  latex.SetTextAlign(31);
+  latex.SetTextSize(lumiTextSize*t);
+  latex.DrawLatex(1-r,1-t+lumiTextOffset*t,lumiText);
+
+  if( outOfFrame )
+    {
+      latex.SetTextFont(cmsTextFont);
+      latex.SetTextAlign(11);
+      latex.SetTextSize(cmsTextSize*t);
+      latex.DrawLatex(l,1-t+lumiTextOffset*t,cmsText);
+    }
+
+  pad->cd();
+
+  float posX_=0;
+  if( iPosX%10<=1 )
+    {
+      posX_ =   l + relPosX*(1-l-r);
+    }
+  else if( iPosX%10==2 )
+    {
+      posX_ =  l + 0.5*(1-l-r);
+    }
+  else if( iPosX%10==3 )
+    {
+      posX_ =  1-r - relPosX*(1-l-r);
+    }
+  float posY_ = 1-t - relPosY*(1-t-b);
+  if( !outOfFrame )
+    {
+      if( drawLogo )
+        {
+          posX_ =   l + 0.045*(1-l-r)*W/H;
+          posY_ = 1-t - 0.045*(1-t-b);
+          float xl_0 = posX_;
+          float yl_0 = posY_ - 0.15;
+          float xl_1 = posX_ + 0.15*H/W;
+          float yl_1 = posY_;
+          TASImage* CMS_logo = new TASImage("CMS-BW-label.png");
+          TPad* pad_logo = new TPad("logo","logo", xl_0, yl_0, xl_1, yl_1 );
+          pad_logo->Draw();
+          pad_logo->cd();
+          CMS_logo->Draw("X");
+          pad_logo->Modified();
+          pad->cd();
+        }
+      else
+        {
+          latex.SetTextFont(cmsTextFont);
+          latex.SetTextSize(cmsTextSize*t);
+          latex.SetTextAlign(align_);
+          latex.DrawLatex(posX_, posY_, cmsText);
+          if( writeExtraText )
+            {
+              latex.SetTextFont(extraTextFont);
+              latex.SetTextAlign(align_);
+              latex.SetTextSize(extraTextSize*t);
+              latex.DrawLatex(posX_, posY_- relExtraDY*cmsTextSize*t, extraText);
+            }
+        }
+    }
+  else if( writeExtraText )
+    {
+      if( iPosX==0)
+        {
+          posX_ =   l +  relPosX*(1-l-r);
+          posY_ =   1-t+lumiTextOffset*t;
+        }
+      latex.SetTextFont(extraTextFont);
+      latex.SetTextSize(extraTextSize*t);
+      latex.SetTextAlign(align_);
+      latex.DrawLatex(posX_, posY_, extraText);
+    }
+  return;
+}
+
+
+
+struct Samples
+{
+	std::vector<TH1F *> v_Cuts;
+	std::vector<TH1F *> v_CountWithPU;
+} signals_lmr, signals_mmr, data;
+
+void pushBackHistograms(Samples &sample, TFile *file, TFile * old, bool MC=true)
+{
+	if (MC==true)
+	{
+		sample.v_CountWithPU.push_back((TH1F*)old->Get("Count"));
+	}
+	sample.v_Cuts.push_back((TH1F*)file->Get("h_Cuts"));
+}
+
+void DisplayCutFlow()
+{
+	gROOT->SetStyle("Plain");
+	gStyle->SetPadGridX(0);
+	gStyle->SetPadGridY(0);
+	gStyle->SetOptStat(0);
+  writeExtraText = true;       // if extra text
+  extraText  = "Simulation" ; //Preliminary";  // default extra text is "Preliminary"
+  lumi_13TeV  = "";  // default is "5.1 fb^{-1}"
+
+
+  int massL[10]={260, 270, 300, 350, 400, 450, 500, 550, 600, 650};
+  //int massM[]={400, 450, 500, 550, 600,  650, 750, 800, 900, 1000, 1200};
+  int massM[]={550, 600,  650, 750, 800, 900, 1000, 1200};
+
+
+  TFile *glugluToX260_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-260_narrow_13TeV-madgraph.root");
+  TFile *glugluToX270_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-270_narrow_13TeV-madgraph.root");
+  TFile *glugluToX300_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-300_narrow_13TeV-madgraph.root");
+  TFile *glugluToX350_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-350_narrow_13TeV-madgraph.root");
+  TFile *glugluToX400_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root");
+  TFile *glugluToX450_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root"); 
+  TFile *glugluToX500_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root");
+  TFile *glugluToX550_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root");
+  TFile *glugluToX600_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root");
+  TFile *glugluToX650_lmr=new TFile("PreselectedWithRegressionDeepCSV/LMRSelection_chi2/Histograms_LMR_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root");
+
+  //TFile *glugluToX400_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-400_narrow_13TeV-madgraph.root");
+  //TFile *glugluToX450_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-450_narrow_13TeV-madgraph.root");
+  //TFile *glugluToX500_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-500_narrow_13TeV-madgraph.root");
+  TFile *glugluToX550_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-550_narrow_13TeV-madgraph.root");
+  TFile *glugluToX600_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-600_narrow_13TeV-madgraph.root");
+  TFile *glugluToX650_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-650_narrow_13TeV-madgraph.root");
+  TFile *glugluToX750_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-750_narrow_13TeV-madgraph.root");
+  TFile *glugluToX800_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-800_narrow_13TeV-madgraph.root");
+  TFile *glugluToX900_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_GluGluToBulkGravitonToHHTo4B_M-900_narrow_13TeV-madgraph.root");
+  TFile *glugluToX1000_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1000_13TeV-madgraph.root");
+  TFile *glugluToX1200_mmr=new TFile("PreselectedWithRegressionDeepCSV/MMRSelection_chi2/Histograms_MMR_BulkGravTohhTohbbhbb_narrow_M-1200_13TeV-madgraph.root");
+
+  pushBackHistograms(signals_lmr, glugluToX260_lmr, glugluToX260_lmr);
+  pushBackHistograms(signals_lmr, glugluToX270_lmr, glugluToX270_lmr);
+  pushBackHistograms(signals_lmr, glugluToX300_lmr, glugluToX300_lmr);
+  pushBackHistograms(signals_lmr, glugluToX350_lmr, glugluToX350_lmr);
+  pushBackHistograms(signals_lmr, glugluToX400_lmr, glugluToX400_lmr);
+  pushBackHistograms(signals_lmr, glugluToX450_lmr, glugluToX450_lmr);
+  pushBackHistograms(signals_lmr, glugluToX500_lmr, glugluToX500_lmr);
+  pushBackHistograms(signals_lmr, glugluToX550_lmr, glugluToX550_lmr);
+  pushBackHistograms(signals_lmr, glugluToX600_lmr, glugluToX600_lmr);
+  pushBackHistograms(signals_lmr, glugluToX650_lmr, glugluToX650_lmr);
+  //pushBackHistograms(signals_mmr, glugluToX400_mmr, glugluToX400_mmr);
+  //pushBackHistograms(signals_mmr, glugluToX450_mmr, glugluToX450_mmr);
+  //pushBackHistograms(signals_mmr, glugluToX500_mmr, glugluToX500_mmr);
+  pushBackHistograms(signals_mmr, glugluToX550_mmr, glugluToX550_mmr);
+  pushBackHistograms(signals_mmr, glugluToX600_mmr, glugluToX600_mmr);
+  pushBackHistograms(signals_mmr, glugluToX650_mmr, glugluToX650_mmr);
+  pushBackHistograms(signals_mmr, glugluToX750_mmr, glugluToX750_mmr);
+  pushBackHistograms(signals_mmr, glugluToX800_mmr, glugluToX800_mmr);
+  pushBackHistograms(signals_mmr, glugluToX900_mmr, glugluToX900_mmr);
+  pushBackHistograms(signals_mmr, glugluToX1000_mmr, glugluToX1000_mmr);
+  pushBackHistograms(signals_mmr, glugluToX1200_mmr, glugluToX1200_mmr);
+
+  //Get the LMR values
+  std::vector<TH1F *> h_Cut_lmr;
+  TH1F *h_Init_lmr=new TH1F("h_Init_lmr", "h_Init_lmr", 154, 260, 1800);
+  TH1F *h_Events3_lmr=(TH1F*)h_Init_lmr->Clone("h_Events3_lmr");
+  TH1F *h_Events8_lmr=(TH1F*)h_Init_lmr->Clone("h_Events8_lmr");
+  TH1F *h_Events10_lmr=(TH1F*)h_Init_lmr->Clone("h_Events10_lmr");
+  TH1F *h_Events16_lmr=(TH1F*)h_Init_lmr->Clone("h_Events16_lmr");
+  for (unsigned int i=0; i<10; ++i)
+  {
+	  h_Init_lmr->SetBinContent(h_Init_lmr->FindBin(massL[i]), signals_lmr.v_CountWithPU.at(i)->GetBinContent(1));
+	  std::cout<<massL[i]<<"   "<<signals_lmr.v_CountWithPU.at(i)->GetBinContent(1)<<"   "<<signals_lmr.v_Cuts.at(i)->GetBinContent(4)<< "   "<<signals_lmr.v_Cuts.at(i)->GetBinContent(8)<<"   "<< signals_lmr.v_Cuts.at(i)->GetBinContent(10)<< "  "<< signals_lmr.v_Cuts.at(i)->GetBinContent(12)<<std::endl;
+	  h_Events3_lmr->SetBinContent(h_Init_lmr->FindBin(massL[i]), signals_lmr.v_Cuts.at(i)->GetBinContent(4));
+	  h_Events8_lmr->SetBinContent(h_Init_lmr->FindBin(massL[i]), signals_lmr.v_Cuts.at(i)->GetBinContent(8));
+	  h_Events10_lmr->SetBinContent(h_Init_lmr->FindBin(massL[i]), signals_lmr.v_Cuts.at(i)->GetBinContent(10));
+	  h_Events16_lmr->SetBinContent(h_Init_lmr->FindBin(massL[i]), signals_lmr.v_Cuts.at(i)->GetBinContent(12));
+
+  }
+
+  //Get the MMR values
+  std::vector<TH1F *> h_Cut_mmr;
+  TH1F *h_Init_mmr=new TH1F("h_Init_mmr", "h_Init_mmr", 154, 260, 1800);
+  TH1F *h_Events3_mmr=(TH1F*)h_Init_mmr->Clone("h_Events3_mmr");
+  TH1F *h_Events8_mmr=(TH1F*)h_Init_mmr->Clone("h_Events8_mmr");
+  TH1F *h_Events10_mmr=(TH1F*)h_Init_mmr->Clone("h_Events10_mmr");
+  TH1F *h_Events16_mmr=(TH1F*)h_Init_mmr->Clone("h_Events16_mmr");
+  for (unsigned int j=0; j<8; ++j)
+  {
+  h_Init_mmr->SetBinContent(h_Init_mmr->FindBin(massM[j]), signals_mmr.v_CountWithPU.at(j)->GetBinContent(1));
+
+  std::cout<<massM[j]<<"   "<<signals_mmr.v_CountWithPU.at(j)->GetBinContent(1)<<"   "<<signals_mmr.v_Cuts.at(j)->GetBinContent(4)<< "   "<<signals_mmr.v_Cuts.at(j)->GetBinContent(8)<<"   "<< signals_mmr.v_Cuts.at(j)->GetBinContent(10)<< "  "<< signals_mmr.v_Cuts.at(j)->GetBinContent(12)<<std::endl;
+  h_Events3_mmr->SetBinContent(h_Init_mmr->FindBin(massM[j]), signals_mmr.v_Cuts.at(j)->GetBinContent(4));
+  h_Events8_mmr->SetBinContent(h_Init_mmr->FindBin(massM[j]), signals_mmr.v_Cuts.at(j)->GetBinContent(8));
+  h_Events10_mmr->SetBinContent(h_Init_mmr->FindBin(massM[j]), signals_mmr.v_Cuts.at(j)->GetBinContent(10));
+  h_Events16_mmr->SetBinContent(h_Init_mmr->FindBin(massM[j]), signals_mmr.v_Cuts.at(j)->GetBinContent(12));
+  }
+
+  //Collect the LMR information for the graph
+  TGraphAsymmErrors *g_Ae_3_lmr=new TGraphAsymmErrors(h_Events3_lmr, h_Init_lmr); g_Ae_3_lmr->SetTitle("Trigger efficiency"); g_Ae_3_lmr->SetLineColor(kPink+2); g_Ae_3_lmr->SetMarkerColor(kPink+2); g_Ae_3_lmr->SetMarkerStyle(20); g_Ae_3_lmr->SetLineWidth(2);
+  TGraphAsymmErrors *g_Ae_8_lmr=new TGraphAsymmErrors(h_Events8_lmr, h_Init_lmr); g_Ae_8_lmr->SetTitle("4 bjets efficiency"); g_Ae_8_lmr->SetLineColor(kBlue+2); g_Ae_8_lmr->SetMarkerColor(kBlue+2); g_Ae_8_lmr->SetMarkerStyle(20); g_Ae_8_lmr->SetLineWidth(2);
+  TGraphAsymmErrors *g_Ae_10_lmr=new TGraphAsymmErrors(h_Events10_lmr, h_Init_lmr); g_Ae_10_lmr->SetTitle("HH Candidate efficiency"); g_Ae_10_lmr->SetLineColor(kGreen+2); g_Ae_10_lmr->SetMarkerColor(kGreen+2); g_Ae_10_lmr->SetMarkerStyle(20); g_Ae_10_lmr->SetLineWidth(2);
+  TGraphAsymmErrors *g_Ae_16_lmr=new TGraphAsymmErrors(h_Events16_lmr, h_Init_lmr); g_Ae_16_lmr->SetTitle("SR efficiency"); g_Ae_16_lmr->SetLineColor(kRed+2);  g_Ae_16_lmr->SetMarkerColor(kRed+2); g_Ae_16_lmr->SetMarkerStyle(20); g_Ae_16_lmr->SetLineWidth(2);
+
+  //Collect the MMR information for the graph  
+  TGraphAsymmErrors *g_Ae_3_mmr=new TGraphAsymmErrors(h_Events3_mmr, h_Init_mmr); g_Ae_3_mmr->SetTitle("Trigger efficiency"); g_Ae_3_mmr->SetLineColor(kPink+2); g_Ae_3_mmr->SetMarkerColor(kPink+2); g_Ae_3_mmr->SetMarkerStyle(20); g_Ae_3_mmr->SetLineWidth(2); g_Ae_3_mmr->SetLineStyle(2);
+  TGraphAsymmErrors *g_Ae_8_mmr=new TGraphAsymmErrors(h_Events8_mmr, h_Init_mmr); g_Ae_8_mmr->SetTitle("4 bjets efficiency"); g_Ae_8_mmr->SetLineColor(kBlue+2); g_Ae_8_mmr->SetMarkerColor(kBlue+2); g_Ae_8_mmr->SetMarkerStyle(20); g_Ae_8_mmr->SetLineWidth(2); g_Ae_8_mmr->SetLineStyle(2);
+  TGraphAsymmErrors *g_Ae_10_mmr=new TGraphAsymmErrors(h_Events10_mmr, h_Init_mmr); g_Ae_10_mmr->SetTitle("HH Candidate efficiency"); g_Ae_10_mmr->SetLineColor(kGreen+2); g_Ae_10_mmr->SetMarkerColor(kGreen+2); g_Ae_10_mmr->SetMarkerStyle(20); g_Ae_10_mmr->SetLineWidth(2); g_Ae_10_mmr->SetLineStyle(2);
+  TGraphAsymmErrors *g_Ae_16_mmr=new TGraphAsymmErrors(h_Events16_mmr, h_Init_mmr); g_Ae_16_mmr->SetTitle("SR efficiency"); g_Ae_16_mmr->SetLineColor(kRed+2);  g_Ae_16_mmr->SetMarkerColor(kRed+2); g_Ae_16_mmr->SetMarkerStyle(20); g_Ae_16_mmr->SetLineWidth(2); g_Ae_16_mmr->SetLineStyle(2);
+
+  TCanvas *c_Ae=new TCanvas("c_Ae", "c_Ae", 700, 700);
+  c_Ae->SetTickx(1);
+  c_Ae->SetTicky(1);
+  c_Ae->SetLogy();
+
+  c_Ae->SetFrameFillStyle(4000);
+  c_Ae->SetFrameFillColor(0000);
+  g_Ae_3_lmr->SetMaximum(10.);
+  g_Ae_3_lmr->SetMinimum(0.001);
+  g_Ae_3_lmr->SetTitle("");
+  g_Ae_3_lmr->GetXaxis()->SetLimits(100,1300);
+  g_Ae_3_lmr->GetYaxis()->SetTitle("Efficiency");
+  g_Ae_3_lmr->GetXaxis()->SetTitle("m_{X} (GeV)");
+  g_Ae_3_lmr->GetYaxis()->SetTitle("Efficiency");
+  g_Ae_3_lmr->GetYaxis()->SetTitleOffset(1.1);
+  g_Ae_3_lmr->GetYaxis()->SetTitleFont(42); 	
+  g_Ae_3_lmr->GetYaxis()->SetLabelFont(42); 
+  g_Ae_3_lmr->GetXaxis()->SetTitleFont(42);   
+  g_Ae_3_lmr->GetXaxis()->SetLabelFont(42);	
+  g_Ae_3_lmr->GetYaxis()->SetLabelSize(0.03);
+  g_Ae_3_lmr->GetXaxis()->SetLabelSize(0.03);
+  g_Ae_3_lmr->Draw("ALP");
+  g_Ae_8_lmr->Draw("LP same");
+  g_Ae_10_lmr->Draw("LP same");
+  g_Ae_16_lmr->Draw("LP same");
+  g_Ae_3_mmr->Draw("LP same");
+  g_Ae_8_mmr->Draw("LP same");
+  g_Ae_10_mmr->Draw("LP same");
+  g_Ae_16_mmr->Draw("LP same");
+  TLine *line_1=new TLine(580, 0, 580, 1);
+  line_1->SetLineWidth(1);
+  line_1->Draw();
+
+  TH1F* temp_1 = new TH1F("temp_1", "temp_1", 100, 0,1); temp_1->SetLineWidth(2); temp_1->SetLineStyle(1);  temp_1->SetLineColor(kBlack);
+  TH1F* temp_2 = new TH1F("temp_2", "temp_2", 100, 0,1); temp_2->SetLineWidth(2); temp_2->SetLineStyle(2);  temp_2->SetLineColor(kBlack);  
+  TLegend *leg = new TLegend(0.60,0.15,0.90,0.40,NULL,"brNDC");
+  leg->SetBorderSize(0);
+  leg->SetTextSize(0.035);
+  leg->SetTextFont(42);	
+  leg->SetLineColor(1);
+  leg->SetLineStyle(1);
+  leg->SetLineWidth(2);
+  leg->SetFillColor(0);
+  leg->SetFillStyle(0);
+  leg->AddEntry(g_Ae_3_lmr, "Trigger","lp");
+  leg->AddEntry(g_Ae_8_lmr, "4 b-tagged jets", "lp");
+  leg->AddEntry(g_Ae_10_lmr, "HH candidate", "lp");
+  leg->AddEntry(g_Ae_16_lmr, "Signal Region", "lp");
+  leg->AddEntry(temp_1, "LMR", "l");
+  leg->AddEntry(temp_2, "MMR", "l");
+  leg->Draw("same");
+ 
+  CMS_lumi( c_Ae, iPeriod, iPos );
+  
+  c_Ae->Update();
+  c_Ae->SaveAs("c_Ae_LMR_MMR.pdf");
+  c_Ae->SaveAs("c_Ae_LMR_MMR.png");
+  c_Ae->SaveAs("c_Ae_LMR_MMR.C");
+  c_Ae->SaveAs("c_Ae_LMR_MMR.root");
+
+
+
+
+
+}

From 92e237a6cb046a65047b129cf12b7e8e41a43586 Mon Sep 17 00:00:00 2001
From: daniel <daniel.guerrero@cern.ch>
Date: Fri, 29 Dec 2017 01:25:53 -0600
Subject: [PATCH 11/11] Updates

---
 DrawLimitPlot_Combined.cc | 330 +++++++++++++-------------------------
 1 file changed, 109 insertions(+), 221 deletions(-)

diff --git a/DrawLimitPlot_Combined.cc b/DrawLimitPlot_Combined.cc
index c4bd3d5..cf4d816 100644
--- a/DrawLimitPlot_Combined.cc
+++ b/DrawLimitPlot_Combined.cc
@@ -193,67 +193,9 @@ void DrawLimitPlot_Combined(std::vector<double> mass_1,
 	std::string background_1,
 	std::string background_2,
 	std::string background_3){
-
-	    gStyle->SetTitleOffset(1.2,"Y");
-		gStyle->SetPadLeftMargin(0.18);
-		gStyle->SetPadBottomMargin(0.15);
-		gStyle->SetPadTopMargin(0.08);
-		gStyle->SetPadRightMargin(0.05);
-		gStyle->SetMarkerSize(0.5);
-		gStyle->SetHistLineWidth(1);
-		gStyle->SetStatFontSize(0.020);
-		gStyle->SetTitleSize(0.06, "XYZ");
-		gStyle->SetLabelSize(0.05, "XYZ");
-		gStyle->SetNdivisions(510, "XYZ");
-		gStyle->SetLegendBorderSize(0);
-		gStyle->SetPadBorderMode(0);
-		gStyle->SetFrameBorderMode(0);
-		gStyle->SetPadBottomMargin(0.12);
-		gStyle->SetPadLeftMargin(0.12);
-		gStyle->SetCanvasColor(kWhite);
-		gStyle->SetCanvasDefH(600);
-		gStyle->SetCanvasDefW(600);
-		gStyle->SetCanvasDefX(0);
-		gStyle->SetCanvasDefY(0);
-
-		gStyle->SetPadTopMargin(0.05);
-		gStyle->SetPadBottomMargin(0.15);
-		gStyle->SetPadLeftMargin(0.15);
-		gStyle->SetPadRightMargin(0.05);
-
-		gStyle->SetPadBorderMode(0);
-		gStyle->SetPadColor(kWhite);
-		gStyle->SetGridColor(0);
-		gStyle->SetGridStyle(3);
-		gStyle->SetGridWidth(1);
-
-		gStyle->SetFrameBorderMode(0);
-		gStyle->SetFrameBorderSize(1);
-		gStyle->SetFrameFillColor(0);
-		gStyle->SetFrameFillStyle(0);
-		gStyle->SetFrameLineColor(1);
-		gStyle->SetFrameLineStyle(1);
-		gStyle->SetFrameLineWidth(1);
-
-		gStyle->SetTitleColor(1, "XYZ");
-		gStyle->SetTitleFont(42, "XYZ");
-		gStyle->SetTitleSize(0.05, "XYZ");
-		gStyle->SetTitleXOffset(1.15);
-		gStyle->SetTitleYOffset(1.3) ;
-		gStyle->SetLabelColor(1, "XYZ");
-		gStyle->SetLabelFont(42, "XYZ");
-		gStyle->SetLabelOffset(0.007, "XYZ");
-		gStyle->SetLabelSize(0.045, "XYZ");
-
-		gStyle->SetPadBorderMode(0);
-		gStyle->SetFrameBorderMode(0);
-		gStyle->SetTitleTextColor(1);
-		gStyle->SetTitleFillColor(10);
-		gStyle->SetTitleFontSize(0.05);
-
-        writeExtraText = true;       
-	    extraText  = "Preliminary";  
-	    lumi_13TeV  = "35.9 fb^{-1}";
+    writeExtraText = true;       
+	extraText  = "";  
+	lumi_13TeV  = "35.9 fb^{-1}";
 
 	// LMR1 definitions
 	const unsigned int nPoints_1=mass_1.size();
@@ -264,13 +206,17 @@ void DrawLimitPlot_Combined(std::vector<double> mass_1,
 	// MMR1 definitions
 	const unsigned int nPoints_3=mass_3.size();
 	double norm_3=2;	
-    // All definitions
-    const unsigned int nPoints_c=nPoints_1 + nPoints_2 + nPoints_3;
+    // All definitions for LMR 1 and 2
+    const unsigned int nPoints_c=nPoints_1 + nPoints_2;
     double xsec_c[nPoints_c], xsecNeg1_c[nPoints_c], xsecPos1_c[nPoints_c], xsecNeg2_c[nPoints_c], xsecPos2_c[nPoints_c];
     double obs_c[nPoints_c];
     double expNeg2_c[nPoints_c], expNeg1_c[nPoints_c], expPos1_c[nPoints_c], expPos2_c[nPoints_c];
+    // All definitions for MMR
+    double xsec_3[nPoints_3], xsecNeg1_3[nPoints_3], xsecPos1_3[nPoints_3], xsecNeg2_3[nPoints_3], xsecPos2_3[nPoints_3];
+    double obs_3[nPoints_3];
+    double expNeg2_3[nPoints_3], expNeg1_3[nPoints_3], expPos1_3[nPoints_3], expPos2_3[nPoints_3];
 
-    // All LOOP
+    // LOOP over all LMR
 	for (unsigned int i=0; i<nPoints_1; ++i)
 	{
 		std::string mass_string_1=itoa(mass_1[i]);
@@ -299,7 +245,7 @@ void DrawLimitPlot_Combined(std::vector<double> mass_1,
         cout<<mass_string_1<<" & "<<obs_c[i]<<" & "<<xsec_c[i]<<" & "<<expNeg1_c[i]<<" & "<<expPos1_c[i]<<" \\\\"<<endl; 
    }
 
-  	for (unsigned int i=0; i<nPoints_2; ++i)
+   for (unsigned int i=0; i<nPoints_2; ++i)
 	{  
 		std::string mass_string_2=itoa(mass_2[i]);
 		std::string filename_2;
@@ -327,158 +273,42 @@ void DrawLimitPlot_Combined(std::vector<double> mass_1,
                 cout<<mass_string_2<<" & "<<obs_c[i+nPoints_1]<<" & "<<xsec_c[i+nPoints_1]<<" & "<<expNeg1_c[i+nPoints_1]<<" & "<<expPos1_c[i+nPoints_1]<<" \\\\"<<endl;
 }
         
-
- 	for (unsigned int i=0; i<nPoints_3; ++i)
-	{       	
-		std::string mass_string_3=itoa(mass_3[i]);
-		std::string filename_3;
-		filename_3="MMR/MMR_"+mass_string_3+"_"+background_3+"/CMS_HH4b_"+mass_string_3+"_13TeV_asymptoticCLs.out";
-		std::ifstream file_3(filename_3.c_str(), ios::in);
-		std::string line_3;
+for (unsigned int i=0; i<nPoints_3; ++i)
+        {
+                std::string mass_string_3=itoa(mass_3[i]);
+                std::string filename_3;
+                filename_3="MMR/MMR_"+mass_string_3+"_"+background_3+"/CMS_HH4b_"+mass_string_3+"_13TeV_asymptoticCLs.out";
+                std::ifstream file_3(filename_3.c_str(), ios::in);
+                std::string line_3;
         bool found_3= false;
         while (!found_3 && !file_3.eof() && !gSystem->AccessPathName(filename_3.c_str())) {
                           getline(file_3, line_3);
-                          std::size_t pos = line_3.find("-- Asymptotic --");  
+                          std::size_t pos = line_3.find("-- Asymptotic --");
                           if (pos!=std::string::npos){
                           found_3=true;
                           }
         }
-		getline(file_3, line_3); obs_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
-		getline(file_3, line_3); xsecNeg2_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
-		getline(file_3, line_3); xsecNeg1_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
-		getline(file_3, line_3); xsec_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
-		getline(file_3, line_3); xsecPos1_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
-		getline(file_3, line_3); xsecPos2_c[i+nPoints_2+nPoints_1]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
-		expNeg2_c[i+nPoints_2+nPoints_1]=xsec_c[i+nPoints_2+nPoints_1]-xsecNeg2_c[i+nPoints_2+nPoints_1];
-		expNeg1_c[i+nPoints_2+nPoints_1]=xsec_c[i+nPoints_2+nPoints_1]-xsecNeg1_c[i+nPoints_2+nPoints_1];
-		expPos1_c[i+nPoints_2+nPoints_1]=xsecPos1_c[i+nPoints_2+nPoints_1]-xsec_c[i+nPoints_2+nPoints_1];
-		expPos2_c[i+nPoints_2+nPoints_1]=xsecPos2_c[i+nPoints_2+nPoints_1]-xsec_c[i+nPoints_2+nPoints_1];
-                cout<<mass_string_3<<" & "<<obs_c[i+nPoints_2+nPoints_1]<<" & "<<xsec_c[i+nPoints_2+nPoints_1]<<" & "<<expNeg1_c[i+nPoints_2+nPoints_1]<<" & "<<expPos1_c[i+nPoints_2+nPoints_1]<<" \\\\"<<endl;
-
-  
-	}
-
-
-	// Graviton curve
-	std::vector<double> masses_graviton={
-	260,  
-		300,  
-		350,  
-		400,  
-		450,  
-		500,  
-		550,  
-		600,  
-		650,  
-		700,  
-		750,  
-		800,  
-		850,  
-		900,
-		950,  
-		1000,
-		1050,
-		1100,
-		1150,
-		1200,
-		1250,
-		1300,
-		1350,
-		1400,
-		1450,
-		1500};
-
-std::vector<double> x_graviton{
-	13189.5110556213,
-		7213.724953,
-		3724.152306612245,
-		2074.118283562500,
-		1220.908845777777,
-		756.0527086799999,
-		484.2628197024792,
-		321.127891575,
-		219.297103860355, 
-		152.2164810122449,
-		108.4982254720000,
-		78.4962635203125 ,
-		57.88419000415223,
-		43.08418917777778,
-		32.69710000221605,
-		24.96632111100000,
-		19.26116379591836,
-		15.04592709917355,
-		11.87132725293005,
-		9.391763225,
-		7.510401695231998,
-		6.032381149171598,
-		4.878695042469133,
-		3.980540729387755,
-		3.259530744827586,
-		2.6789518692	
-};
+                getline(file_3, line_3); obs_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+                getline(file_3, line_3); xsecNeg2_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+                getline(file_3, line_3); xsecNeg1_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+                getline(file_3, line_3); xsec_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+                getline(file_3, line_3); xsecPos1_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+                getline(file_3, line_3); xsecPos2_3[i]=atof(line_3.substr(line_3.find("<")+1).c_str())*norm_3;
+                expNeg2_3[i]=xsec_3[i]-xsecNeg2_3[i];
+                expNeg1_3[i]=xsec_3[i]-xsecNeg1_3[i];
+                expPos1_3[i]=xsecPos1_3[i]-xsec_3[i];
+                expPos2_3[i]=xsecPos2_3[i]-xsec_3[i];
+                cout<<mass_string_3<<" & "<<obs_3[i]<<" & "<<xsec_3[i]<<" & "<<expNeg1_3[i]<<" & "<<expPos1_3[i]<<" \\\\"<<endl;
+        }
 
-std::vector<double> br_hh={
-7.875333606243001e-6,
-	0.0002609363907507743,
-	0.0008527793007645482 , 
-	0.0014748453016228675,
-	0.00202120813640487,
-	0.0024744221679741125,
-	0.002843812476091045,
-	0.003144265384982541,
-	0.0033897489806557304,
-	0.0035917787224510177, 
-	0.003759423688146881,
-	0.0038997130095539006, 
-	0.004018077826392619,
-	0.004118727164348574,   
-	0.004204942476367313,   
-	0.00427930100894505,   
-	0.004343843097937954, 
-	0.004400197131035117,  
-	0.004449673107888205,
-	0.0044933330427632395, 
-	0.00453204428524029 , 
-	0.004566520194709918,   
-	0.004597351400961763, 
-	0.004625030011213332, 
-	0.00464996849485267,   
-	0.004672514523079795
-	};
-
-	// Radion curve
-	std::vector<double> masses_radion={
-	260,  
-		300,
-		400,
-		500,
-		600,
-		700,
-		750,
-		800,
-		900,
-	   1000,
-       1500};
-
-    std::vector<double> x_radion{
-    10.314910442540885,	
-    7.20114376233762,	
-    3.369927115848731,	
-    1.962250361817225,	
-    1.235987766884442,	
-    0.8043402650432466,	
-    0.6557538821852814,	
-    0.5434525134607641,	
-    0.3735615328391298,	
-	0.2618915924170746,	
-	0.054417137017588976};
 
 
+//Bulk model
 // Graviton curve K=0.5 from github reference
 std::vector<double> masses_graviton_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
 std::vector<double> x_graviton_new={6.87, 136.0, 232.0, 123.0, 57.3, 28.4, 20.4, 15.0, 8.16, 4.74, 3.0, 1.9, 1.2, 0.763, 0.483};
 
-// Graviton curve K=0.1 from github reference (scale from 0.5 to 0.1)
+// Graviton curve K=0.1 from github reference (scale from 0.5 to 0.1 by (0.1/0.5)^2)
 std::vector<double> masses_graviton_new2={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
 std::vector<double> x_graviton_new2={0.2748, 5.44, 9.28, 4.92, 2.29, 1.14, 0.08, 0.6, 0.33, 0.19, 0.12, 0.08, 0.05, 0.03, 0.02};
 
@@ -486,61 +316,119 @@ std::vector<double> x_graviton_new2={0.2748, 5.44, 9.28, 4.92, 2.29, 1.14, 0.08,
 std::vector<double> masses_radion_new={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
 std::vector<double> x_radion_new={7.64e+03, 7.13e+03, 2.92e+03, 1.50e+03, 9.08e+02, 5.84e+02, 4.74e+02, 3.93e+02, 2.70e+02, 1.90e+02, 1.38e+02, 1.01e+02, 7.38e+01, 5.39e+01, 3.93e+01};
 
-//Radion curve 3 TeV  from github reference (scale from 1 TeV to 3 TeV, dividing by 9)
+//Radion curve 3 TeV  from github reference (divide by 9)
 std::vector<double> masses_radion_new2={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500};
 std::vector<double> x_radion_new2={848.88, 792.22, 324.44, 166.66, 100.88, 64.88, 52.66, 43.66, 30.0, 21.11, 15.33, 11.22, 8.20, 5.98, 4.36};
 
 
+// RS1 model
+//Radion curve from github reference
+double masses_radion[11]={260, 300, 400, 500, 600, 700, 750, 800, 900, 1000, 1500};
+double x_radion[11]= { 7.0000671104779855,	
+4.843380339233729,	
+2.2033362626321535,	
+1.2884373572757672,	
+0.815930653669519,	
+0.5326974432791105,	
+0.4342318406630251,	
+0.3600098167141369,	
+0.24694197195075712,	
+0.17295592620253558,	
+0.0354691843409431
+};
+for(int i=0; i<11; i++ ) x_radion[i]=x_radion[i]*0.23*0.57*0.57*1000*9; // Line=xsec*BR(X->HH)*BR(HH->4b)*units*Lambda_R(3TeV->1TeV)
+ 	
+
+//RunI paper
+//TGraph *g_graviton_0=new TGraph(18, masses_graviton, x_graviton); g_graviton_0->SetLineWidth(2); g_graviton_0->SetLineColor(kBlue+1); g_graviton_0->SetFillColor(kWhite);
+TGraph *g_radion_0=new TGraph(11, masses_radion, x_radion); g_radion_0->SetLineWidth(2); g_radion_0->SetLineColor(kOrange+2); g_radion_0->SetFillColor(kWhite);
+
+//RunII paper
 TGraph *g_graviton=new TGraph(masses_graviton_new.size(), &(masses_graviton_new[0]), &(x_graviton_new[0])); g_graviton->SetLineWidth(2); g_graviton->SetLineColor(kBlue+1); g_graviton->SetFillColor(kWhite);
 TGraph *g_radion=new TGraph(masses_radion_new.size(), &(masses_radion_new[0]), &(x_radion_new[0])); g_radion->SetLineWidth(2); g_radion->SetLineColor(kBlue+1); g_radion->SetFillColor(kWhite);
-TGraph *g_radion2=new TGraph(masses_radion_new2.size(), &(masses_radion_new2[0]), &(x_radion_new2[0])); g_radion2->SetLineWidth(2); g_radion2->SetLineColor(kBlue+1); g_radion->SetFillColor(kWhite);
+TGraph *g_radion2=new TGraph(masses_radion_new2.size(), &(masses_radion_new2[0]), &(x_radion_new2[0])); g_radion2->SetLineWidth(2); g_radion2->SetLineColor(kRed+1); g_radion2->SetFillColor(kWhite);
 TStyle *tdrStyle=setTDRStyle();
 gROOT->SetStyle("Plain");
 
-// Big flag 
+// Big LMR flag 
 TGraphErrors *g_xsec_c=new TGraphErrors(nPoints_c, &(mass_c[0]), xsec_c);
 g_xsec_c->SetTitle("; m_{X} (GeV); #sigma(pp#rightarrowX) #times Br(X#rightarrowH(b#bar{b}) H(b#bar{b})) (fb)");
 g_xsec_c->SetLineWidth(2);
 g_xsec_c->SetLineStyle(2);
 TGraphAsymmErrors *g_xsec_1sigma_c=new TGraphAsymmErrors(nPoints_c, &(mass_c[0]), xsec_c, 0, 0, expNeg1_c, expPos1_c);
-g_xsec_1sigma_c->SetLineColor(kGreen);
-g_xsec_1sigma_c->SetFillColor(kGreen);
+g_xsec_1sigma_c->SetLineColor(kGreen+1);
+g_xsec_1sigma_c->SetFillColor(kGreen+1);
 TGraphAsymmErrors *g_xsec_2sigma_c=new TGraphAsymmErrors(nPoints_c, &(mass_c[0]), xsec_c, 0, 0, expNeg2_c, expPos2_c);
-g_xsec_2sigma_c->SetLineColor(kYellow);
-g_xsec_2sigma_c->SetFillColor(kYellow);
+g_xsec_2sigma_c->SetLineColor(kOrange);
+g_xsec_2sigma_c->SetFillColor(kOrange);
 TGraph *g_obs_c=new TGraph(nPoints_c, &(mass_c[0]), obs_c);
 g_obs_c->SetLineWidth(2);
 g_obs_c->SetLineStyle(1);
 
 
+// MMR flag
+TGraphErrors *g_xsec_3=new TGraphErrors(nPoints_3, &(mass_3[0]), xsec_3);
+g_xsec_3->SetTitle("; m_{X} (GeV); #sigma(pp#rightarrowX) #times Br(X#rightarrowH(b#bar{b}) H(b#bar{b})) (fb)");
+g_xsec_3->SetLineWidth(2);
+//g_xsec_3->SetTextFont(42);
+g_xsec_3->SetLineStyle(2);
+TGraphAsymmErrors *g_xsec_1sigma_3=new TGraphAsymmErrors(nPoints_3, &(mass_3[0]), xsec_3, 0, 0, expNeg1_3, expPos1_3);
+g_xsec_1sigma_3->SetLineColor(kGreen+1);
+g_xsec_1sigma_3->SetFillColor(kGreen+1);
+TGraphAsymmErrors *g_xsec_2sigma_3=new TGraphAsymmErrors(nPoints_3, &(mass_3[0]), xsec_3, 0, 0, expNeg2_3, expPos2_3);
+g_xsec_2sigma_3->SetLineColor(kOrange);
+g_xsec_2sigma_3->SetFillColor(kOrange);
+TGraph *g_obs_3=new TGraph(nPoints_3, &(mass_3[0]), obs_3);
+g_obs_3->SetLineWidth(2);
+g_obs_3->SetLineStyle(1);
+
+
+
 TCanvas *c_xsec=new TCanvas("c_xsec", "c_xsec", 1000, 700);
 c_xsec->SetLogy();
 g_xsec_c->SetMaximum(ymax); 
 g_xsec_c->SetMinimum(ymin);
-g_xsec_c->Draw("AL");
+g_xsec_c->Draw("AL axis");
 g_xsec_2sigma_c->Draw("3");
 g_xsec_1sigma_c->Draw("3");
 g_xsec_c->GetXaxis()->SetLimits(260,1200);
 g_xsec_c->Draw("L");
-g_graviton->Draw("C same");
-//g_radion->Draw("C same");
-//g_radion2->Draw("C same");
+g_xsec_3->Draw("L same");
+g_xsec_2sigma_3->Draw("3 same");
+g_xsec_1sigma_3->Draw("3 same");
+g_xsec_3->Draw("L same");
+//g_graviton->Draw("C same");
+g_radion_0->Draw("C same");
+g_radion->Draw("C same");
+g_radion2->Draw("C same");
+
 
 g_obs_c->SetMarkerStyle(20);
 g_obs_c->SetMarkerColor(kBlack);	
 g_obs_c->Draw("CP SAME");
-
+g_obs_3->SetMarkerStyle(20);
+g_obs_3->SetMarkerColor(kBlack);	
+g_obs_3->Draw("CP SAME");
+gPad->RedrawAxis("g");
+g_xsec_c->GetXaxis()->SetLabelFont(42);
+g_xsec_c->GetXaxis()->SetTitleFont(42);
+g_xsec_c->GetYaxis()->SetLabelFont(42);
+g_xsec_c->GetYaxis()->SetTitleFont(42);
 c_xsec->Update();
 
 TLegend *leg=new TLegend(0.45, 0.55, 0.90, 0.85);
 leg->SetFillStyle(1); leg->SetFillColor(kWhite);
-leg->AddEntry(g_xsec_c, "Expected Upper Limit", "L");
-leg->AddEntry(g_xsec_1sigma_c, "Expected #pm 1 #sigma", "F");
-leg->AddEntry(g_xsec_2sigma_c, "Expected #pm 2 #sigma", "F");
+leg->SetTextFont(42);
+//leg->SetHeader("Spin-2");
+leg->SetHeader("Spin-0");
 leg->AddEntry(g_obs_c, "Observed Upper Limit", "LP");
-leg->AddEntry(g_graviton,"Bulk Graviton k=0.5","L");
-//leg->AddEntry(g_radion,"Bulk Radion #Lambda= 1 TeV, kl=35","L");
-//leg->AddEntry(g_radion2,"Bulk Radion #Lambda= 3 TeV, kl=35","L");	
+leg->AddEntry(g_xsec_c, "Expected Upper Limit", "L");
+leg->AddEntry(g_xsec_1sigma_c, "68% Expected", "F");
+leg->AddEntry(g_xsec_2sigma_c, "95% Expected", "F");
+//leg->AddEntry(g_graviton,"Bulk Graviton k=0.5","L");
+leg->AddEntry(g_radion_0,"RS1 Radion #Lambda= 1 TeV, kl=35","L");
+leg->AddEntry(g_radion,"Bulk Radion #Lambda= 1 TeV, kl=35","L");
+leg->AddEntry(g_radion2,"Bulk Radion #Lambda= 3 TeV, kl=35","L");	
 leg->SetFillColor(kWhite);
 leg->SetFillStyle(0);
 leg->SetTextSize(0.03);